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  • IGHA1
CANCER COLORECTAL CANCER Show tissue menu
BREAST CANCER CARCINOID CERVICAL CANCER COLORECTAL CANCER ENDOMETRIAL CANCER GLIOMA HEAD AND NECK CANCER LIVER CANCER LUNG CANCER LYMPHOMA
MELANOMA OVARIAN CANCER PANCREATIC CANCER PROSTATE CANCER RENAL CANCER SKIN CANCER STOMACH CANCER TESTIS CANCER THYROID CANCER UROTHELIAL CANCER
COAD TCGA COAD VALIDATION READ TCGA READ VALIDATION PROTEIN COAD CPTAC PROTEIN EXPRESSION
ANTIBODIES
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Dictionary
Colorectal cancer
Human cancer
Colon adenocarcinoma
Rectum adenocarcinoma
COLON ADENOCARCINOMA (TCGA) - Interactive survival scatter ploti

The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.

The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".

Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.

Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.

& Survival analysisi

Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.

IGHA1 is not prognostic in Colon Adenocarcinoma (TCGA)


Stage:


Survival analysis
Current cut offi

Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.

:
Best expression cut offi

Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .

When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.

: 752.56
Median expressioni

Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.

: N/A
Median follow up timei

Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.

: N/A
P scorei

Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.

N/A
5-year survival highi

5-year survival for patients with higher expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
5-year survival lowi

5-year survival for patients with lower expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
TCGA RNA samplesi

RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .

Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.

Average pTPM 625.3
Number of samples 254
Samples
Sample Description pTPM
TCGA-G4-6293-01A 49 years, female, white, stage:Stage III, alive, 4051 days 8024.9
TCGA-D5-6529-01A 69 years, male, white, stage:Stage IIA, alive, 614 days 6895.5
TCGA-CK-4950-01A 68 years, female, black or african american, stage:Stage IIIB, alive, 2599 days 5985.9
TCGA-D5-6920-01A 77 years, female, white, stage:Stage IIA, alive, 377 days 4358.7
TCGA-A6-6651-01A 55 years, female, white, stage:Stage IIIB, alive, 662 days 4329.6
TCGA-A6-6137-01A 55 years, male, white, stage:Stage IIIB, alive, 824 days 3989.1
TCGA-QG-A5YW-01A 55 years, female, black or african american, stage:Stage IIIC, alive, 896 days 3492.4
TCGA-G4-6625-01A 77 years, female, white, stage:Stage IIA, alive, 2792 days 3285.4
TCGA-AA-3713-01A 68 years, male, stage:Stage IV, alive, 579 days 3238.0
TCGA-AD-6964-01A 58 years, male, white, stage:'--, dead, 331 days 3060.3
TCGA-A6-6141-01A 31 years, male, black or african american, stage:Stage IIA, alive, 255 days 2870.1
TCGA-F4-6806-01A 59 years, female, white, stage:Stage I, alive, 1260 days 2683.1
TCGA-D5-6928-01A 80 years, male, white, stage:Stage IIA, alive, 354 days 2666.8
TCGA-G4-6323-01A 50 years, male, black or african american, stage:Stage IA, alive, 419 days 2658.8
TCGA-A6-6649-01A 66 years, male, white, stage:Stage IIIB, alive, 735 days 2607.6
TCGA-AY-6196-01A 47 years, male, white, stage:Stage IIIC, alive, 6 days 2542.5
TCGA-AU-3779-01A 80 years, female, white, stage:Stage IIA, alive, 441 days 2405.3
TCGA-G4-6627-01A 84 years, male, white, stage:Stage IIA, alive, 2175 days 2312.5
TCGA-CM-6163-01A 74 years, male, white, stage:Stage I, alive, 427 days 2203.2
TCGA-AZ-6605-01A 77 years, male, white, stage:Stage IIIB, dead, 159 days 2059.0
TCGA-D5-6924-01A 68 years, male, white, stage:Stage IIA, alive, 435 days 1969.8
TCGA-A6-6654-01A 65 years, female, white, stage:Stage IIIB, alive, 726 days 1938.4
TCGA-AA-3489-01A 75 years, male, stage:Stage II, dead, 214 days 1894.7
TCGA-G4-6322-01A 65 years, male, white, stage:Stage IIIB, alive, 792 days 1888.4
TCGA-D5-6931-01A 77 years, male, white, stage:Stage IIIC, alive, 365 days 1868.4
TCGA-AA-3697-01A 77 years, male, stage:Stage II, alive, 2587 days 1850.2
TCGA-AA-3655-01A 68 years, male, stage:Stage II, alive, 1856 days 1717.5
TCGA-AY-6386-01A 66 years, female, black or african american, stage:Stage IIIB, alive, 542 days 1689.6
TCGA-CM-6172-01A 70 years, female, white, stage:Stage IIIB, alive, 335 days 1632.2
TCGA-AZ-5407-01A 51 years, female, white, stage:Stage I, alive, 2683 days 1570.6
TCGA-D5-6534-01A 62 years, female, white, stage:Stage IIA, alive, 1316 days 1542.8
TCGA-A6-6648-01A 56 years, male, white, stage:Stage IVA, alive, 766 days 1536.9
TCGA-QL-A97D-01A 84 years, female, black or african american, stage:Stage I, alive, 666 days 1514.0
TCGA-D5-6539-01A 45 years, female, white, stage:'--, alive, 380 days 1503.7
TCGA-D5-6929-01A 49 years, female, white, stage:Stage IV, alive, 408 days 1430.0
TCGA-AA-3685-01A 69 years, male, stage:Stage II, alive, 1127 days 1425.3
TCGA-CK-6747-01A 87 years, female, white, stage:Stage IIA, alive, 820 days 1339.5
TCGA-AD-6899-01A 84 years, male, white, stage:Stage IIIC, dead, 176 days 1325.9
TCGA-D5-6930-01A 67 years, male, white, stage:Stage IIA, alive, 406 days 1282.6
TCGA-QG-A5Z2-01A 61 years, male, black or african american, stage:Stage I, alive, 952 days 1279.1
TCGA-F4-6703-01A 64 years, male, white, stage:Stage IIA, alive, 1456 days 1221.0
TCGA-A6-6140-01A 62 years, male, white, stage:Stage IIA, alive, 734 days 1203.9
TCGA-CM-4751-01A 62 years, male, white, stage:Stage IIIB, alive, 822 days 1184.9
TCGA-CM-6680-01A 78 years, female, white, stage:Stage IIIB, alive, 366 days 1152.2
TCGA-CA-5254-01A 42 years, female, asian, stage:Stage IIA, alive, 386 days 1107.0
TCGA-NH-A50V-01A 69 years, male, black or african american, stage:Stage IIIB, alive, 588 days 1024.8
TCGA-A6-2675-01A 78 years, male, white, stage:Stage IIA, alive, 1321 days 971.5
TCGA-G4-6295-01A 70 years, female, white, stage:Stage II, alive, 254 days 955.7
TCGA-CA-6717-01A 57 years, male, asian, stage:Stage IIA, alive, 388 days 911.4
TCGA-F4-6569-01A 60 years, male, white, stage:Stage I, alive, 1087 days 902.3
TCGA-NH-A6GA-01A 58 years, male, black or african american, stage:Stage IIIC, dead, 302 days 881.8
TCGA-G4-6321-01A 60 years, female, white, stage:Stage III, alive, 672 days 804.7
TCGA-4N-A93T-01A 67 years, male, black or african american, stage:Stage IIIB, alive, 146 days 800.3
TCGA-AD-6890-01A 65 years, male, white, stage:'--, alive, 746 days 755.1
TCGA-F4-6809-01A 52 years, female, white, stage:Stage IVA, dead, 403 days 750.0
TCGA-D5-5539-01A 60 years, male, white, stage:Stage IIIA, alive, 596 days 746.5
TCGA-A6-A565-01A 34 years, female, black or african american, stage:Stage IIIC, dead, 494 days 730.3
TCGA-AA-3660-01A 51 years, female, stage:Stage II, alive, 2375 days 701.3
TCGA-NH-A6GB-01A 71 years, female, black or african american, stage:Stage IIIC, alive, 476 days 696.1
TCGA-D5-5538-01A 60 years, female, white, stage:Stage IIIB, dead, 1661 days 688.9
TCGA-DM-A28G-01A 75 years, male, white, stage:Stage IIA, dead, 1849 days 687.1
TCGA-D5-6533-01A 68 years, female, white, stage:'--, alive, 775 days 674.8
TCGA-CM-6679-01A 58 years, male, white, stage:Stage IIA, alive, 306 days 674.2
TCGA-CM-6677-01A 75 years, female, white, stage:Stage IIA, alive, 337 days 634.9
TCGA-A6-2686-01A 81 years, female, white, stage:Stage IIA, dead, 1126 days 625.8
TCGA-5M-AAT6-01A 40 years, female, black or african american, stage:Stage IV, dead, 290 days 625.5
TCGA-G4-6297-01A 55 years, female, white, stage:Stage IV, alive, 2506 days 622.8
TCGA-AY-A8YK-01A 44 years, male, black or african american, stage:Stage IVA, alive, 573 days 616.9
TCGA-F4-6807-01A 51 years, female, white, stage:Stage IIIC, alive, 1309 days 615.2
TCGA-CM-6168-01A 84 years, female, black or african american, stage:Stage IIA, alive, 395 days 612.0
TCGA-D5-6535-01A 80 years, female, white, stage:Stage IIIB, alive, 460 days 611.9
TCGA-A6-6138-01A 61 years, male, white, stage:Stage I, alive, 685 days 591.1
TCGA-NH-A6GC-01A 66 years, female, black or african american, stage:Stage IVB, alive, 389 days 584.0
TCGA-AY-6197-01A 60 years, male, white, stage:Stage IIA, alive, 652 days 580.4
TCGA-A6-4105-01A 79 years, male, white, stage:Stage IIA, dead, 442 days 575.9
TCGA-G4-6311-01A 80 years, male, white, stage:Stage III, alive, 1199 days 573.6
TCGA-A6-6782-01A 82 years, male, white, stage:Stage IIB, alive, 617 days 567.8
TCGA-CM-6169-01A 67 years, male, black or african american, stage:Stage IIA, alive, 396 days 561.7
TCGA-D5-6532-01A 61 years, male, white, stage:Stage IIA, alive, 555 days 551.7
TCGA-AA-3496-01A 83 years, female, stage:Stage II, alive, 31 days 550.2
TCGA-A6-5661-01A 80 years, female, black or african american, stage:Stage IIA, alive, 1020 days 550.0
TCGA-F4-6856-01A 45 years, male, white, stage:Stage I, alive, 1074 days 531.4
TCGA-AY-5543-01A 65 years, female, black or african american, stage:Stage IVA, alive, 1004 days 519.3
TCGA-AZ-6607-01A 69 years, male, white, stage:Stage IV, dead, 97 days 516.6
TCGA-CM-6162-01A 48 years, female, white, stage:Stage IIIB, alive, 365 days 514.1
TCGA-CM-6167-01A 57 years, female, black or african american, stage:Stage IIIC, alive, 456 days 508.0
TCGA-A6-5665-01A 84 years, female, white, stage:Stage IIA, alive, 671 days 495.9
TCGA-AZ-6600-01A 64 years, male, black or african american, stage:Stage IV, dead, 368 days 463.7
TCGA-AZ-6599-01A 72 years, male, white, stage:Stage I, dead, 206 days 459.2
TCGA-CM-6170-01A 73 years, female, white, stage:Stage I, alive, 457 days 453.0
TCGA-AY-A69D-01A 55 years, female, black or african american, stage:Stage IIA, alive, 543 days 445.5
TCGA-3L-AA1B-01A 61 years, female, black or african american, stage:Stage I, alive, 475 days 444.2
TCGA-DM-A1D7-01A 82 years, male, white, stage:Stage IIA, dead, 405 days 441.1
TCGA-F4-6570-01A 78 years, female, white, stage:Stage IIA, dead, 188 days 422.0
TCGA-D5-5537-01A 83 years, male, white, stage:'--, dead, 1381 days 390.3
TCGA-4T-AA8H-01A 42 years, female, black or african american, stage:Stage IIA, alive, 385 days 387.8
TCGA-F4-6805-01A 58 years, female, white, stage:Stage IIA, alive, 1047 days 382.7
TCGA-F4-6460-01A 51 years, female, white, stage:Stage IIIB, dead, 972 days 381.9
TCGA-G4-6314-01A 76 years, female, white, stage:Stage IV, alive, 1093 days 374.5
TCGA-A6-5664-01A 80 years, male, black or african american, stage:Stage IIIC, alive, 672 days 372.8
TCGA-AZ-6601-01A 68 years, male, white, stage:Stage II, dead, 3042 days 365.2
TCGA-AA-3511-01A 64 years, male, stage:Stage II, alive, 212 days 357.1
TCGA-AD-6548-01A 81 years, female, white, stage:Stage I, alive, 650 days 357.0
TCGA-QG-A5YV-01A 64 years, female, black or african american, stage:Stage IIIC, alive, 1301 days 354.1
TCGA-A6-A5ZU-01A 59 years, male, black or african american, stage:Stage IIIB, alive, 293 days 349.9
TCGA-F4-6854-01A 77 years, female, white, stage:Stage IIA, alive, 16 days 344.4
TCGA-AZ-6603-01A 77 years, female, white, stage:'--, dead, 899 days 324.5
TCGA-CM-5863-01A 60 years, female, white, stage:Stage IIIB, alive, 457 days 319.4
TCGA-A6-A566-01A 55 years, female, black or african american, stage:Stage IIIB, dead, 758 days 313.8
TCGA-D5-7000-01A 79 years, female, white, stage:Stage I, alive, 312 days 307.0
TCGA-G4-6299-01A 69 years, male, white, stage:Stage IIIC, alive, 2268 days 302.5
TCGA-5M-AATE-01A 76 years, male, black or african american, stage:Stage IIA, alive, 1200 days 299.2
TCGA-F4-6463-01A 51 years, male, white, stage:Stage IIA, alive, 1087 days 289.6
TCGA-G4-6309-01A 40 years, female, black or african american, stage:Stage IIIB, alive, 2600 days 282.7
TCGA-A6-6650-01A 69 years, female, black or african american, stage:Stage IIA, alive, 627 days 282.5
TCGA-WS-AB45-01A 52 years, female, black or african american, stage:Stage IIA, alive, 2130 days 281.5
TCGA-DM-A28F-01A 73 years, male, white, stage:Stage IIIB, dead, 1094 days 275.4
TCGA-CA-6718-01A 46 years, male, asian, stage:Stage IIA, dead, 306 days 268.2
TCGA-AD-6963-01A 58 years, male, white, stage:'--, alive, 834 days 261.3
TCGA-CA-5797-01A 56 years, male, asian, stage:Stage IIA, alive, 383 days 249.4
TCGA-CK-5912-01A 81 years, male, white, stage:Stage I, dead, 1493 days 249.2
TCGA-A6-5657-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 962 days 220.6
TCGA-D5-6898-01A 51 years, female, white, stage:Stage I, alive, 229 days 215.3
TCGA-G4-6628-01A 78 years, male, white, stage:Stage I, alive, 2424 days 214.4
TCGA-CM-6164-01A 46 years, female, white, stage:Stage IIA, alive, 883 days 209.3
TCGA-CM-5864-01A 60 years, male, white, stage:Stage I, alive, 457 days 208.6
TCGA-AU-6004-01A 69 years, female, white, stage:Stage I, alive, 824 days 205.8
TCGA-CM-5860-01A 44 years, male, white, stage:Stage IIA, alive, 974 days 199.4
TCGA-A6-6781-01A 43 years, male, white, stage:Stage IIIC, alive, 598 days 197.3
TCGA-F4-6704-01A 60 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days 189.3
TCGA-D5-6927-01A 34 years, male, white, stage:Stage IIA, alive, 287 days 185.9
TCGA-AZ-4323-01A 37 years, male, white, stage:Stage IV, dead, 43 days 175.3
TCGA-QG-A5YX-01A 61 years, female, black or african american, stage:Stage IIA, alive, 1003 days 172.6
TCGA-G4-6306-01A 71 years, male, white, stage:'--, alive, 1359 days 169.0
TCGA-AZ-4616-01A 82 years, female, white, stage:Stage IV, dead, 156 days 167.0
TCGA-CM-5868-01A 59 years, female, white, stage:Stage IVA, alive, 518 days 166.5
TCGA-D5-6531-01A 75 years, male, white, stage:Stage IIA, alive, 540 days 166.4
TCGA-CK-5916-01A 71 years, female, white, stage:Stage I, dead, 643 days 162.6
TCGA-A6-3810-01A 62 years, male, white, stage:Stage IIA, alive, 1111 days 161.0
TCGA-G4-6315-01A 66 years, male, white, stage:Stage IV, alive, 1883 days 159.2
TCGA-AD-5900-01A 67 years, male, white, stage:Stage I, alive, 370 days 154.1
TCGA-AA-3675-01A 84 years, male, stage:Stage II, alive, 1431 days 146.2
TCGA-D5-6541-01A 49 years, male, white, stage:Stage IIA, alive, 474 days 139.7
TCGA-AD-6888-01A 73 years, male, white, stage:Stage IIIB, dead, 472 days 134.3
TCGA-AD-6901-01A 78 years, male, white, stage:'--, dead, 682 days 131.6
TCGA-D5-6926-01A 65 years, male, white, stage:Stage IIIB, alive, 275 days 131.2
TCGA-AM-5821-01A 68 years, female, white, stage:Stage IIA, alive, 28 days 128.2
TCGA-CK-6751-01A 88 years, female, white, stage:Stage I, alive, 518 days 124.9
TCGA-AA-3526-01A 57 years, male, stage:Stage I, alive, 580 days 119.8
TCGA-AA-3662-01A 80 years, female, stage:Stage IV, alive, 184 days 118.1
TCGA-AA-A02K-01A 50 years, male, stage:Stage IV, dead, 426 days 116.0
TCGA-F4-6461-01A 41 years, female, white, stage:Stage IIIC, dead, 338 days 114.0
TCGA-A6-6653-01A 82 years, male, white, stage:Stage I, alive, 742 days 112.8
TCGA-D5-6922-01A 76 years, male, white, stage:Stage IIIA, alive, 308 days 109.4
TCGA-AD-6965-01A 62 years, male, white, stage:Stage IIIC, alive, 805 days 108.7
TCGA-F4-6459-01A 61 years, female, white, stage:Stage IIIB, dead, 262 days 107.3
TCGA-A6-5659-01A 82 years, male, white, stage:Stage I, alive, 926 days 106.3
TCGA-AZ-6606-01A 81 years, male, white, stage:Stage IV, dead, 357 days 104.3
TCGA-DM-A28H-01A 50 years, male, white, stage:Stage IIIC, alive, 3561 days 102.6
TCGA-A6-2674-01A 71 years, male, white, stage:Stage IV, alive, 1331 days 102.4
TCGA-D5-6530-01A 53 years, male, white, stage:Stage I, alive, 621 days 97.6
TCGA-G4-6586-01A 73 years, female, white, stage:Stage IIA, alive, 1089 days 97.2
TCGA-DM-A1DA-01A 71 years, female, white, stage:Stage IIIC, dead, 228 days 94.8
TCGA-CA-6719-01A 77 years, male, asian, stage:Stage IIA, alive, 435 days 92.4
TCGA-DM-A0X9-01A 71 years, female, white, stage:Stage IIA, alive, 3641 days 89.3
TCGA-T9-A92H-01A 82 years, male, black or african american, stage:Stage IIA, alive, 362 days 89.1
TCGA-G4-6626-01A 90 years, male, white, stage:Stage IIA, dead, 1 days 89.0
TCGA-G4-6303-01A 54 years, female, white, stage:Stage IV, dead, 2003 days 86.1
TCGA-AY-A54L-01A 74 years, female, black or african american, stage:Stage I, alive, 525 days 85.4
TCGA-CK-6748-01A 45 years, female, white, stage:Stage IV, alive, 61 days 84.4
TCGA-CM-6165-01A 74 years, male, white, stage:Stage IIA, alive, 488 days 81.5
TCGA-QG-A5Z1-01A 71 years, male, black or african american, stage:Stage IIIB, dead, 256 days 81.0
TCGA-F4-6855-01A 70 years, female, white, stage:Stage IIA, alive, 1442 days 76.9
TCGA-AD-6889-01A 76 years, male, asian, stage:Stage IIA, dead, 2532 days 75.6
TCGA-5M-AAT4-01A 74 years, male, black or african american, stage:Stage IV, dead, 49 days 73.3
TCGA-A6-6142-01A 56 years, female, white, stage:Stage IVA, alive, 763 days 71.1
TCGA-AA-A02Y-01A 73 years, male, stage:Stage I, alive, 1216 days 65.7
TCGA-DM-A1DB-01A 68 years, male, white, stage:Stage IIA, dead, 1348 days 61.4
TCGA-DM-A1D4-01A 80 years, male, white, stage:Stage IIA, dead, 2821 days 59.8
TCGA-CM-5348-01A 72 years, male, white, stage:Stage IIIB, alive, 699 days 58.2
TCGA-NH-A8F8-01A 79 years, male, black or african american, stage:Stage IV, dead, 511 days 56.4
TCGA-DM-A28C-01A 74 years, male, white, stage:Stage IIA, dead, 2475 days 55.7
TCGA-AD-6895-01A 84 years, male, white, stage:Stage IIIB, alive, 763 days 55.1
TCGA-CK-5913-01A 58 years, female, white, stage:Stage IIA, alive, 1561 days 54.0
TCGA-CM-6678-01A 63 years, female, white, stage:Stage IVA, alive, 335 days 51.7
TCGA-DM-A28A-01A 78 years, male, white, stage:Stage IIIC, dead, 805 days 51.0
TCGA-AZ-6598-01A 77 years, female, white, stage:Stage II, dead, 1503 days 49.5
TCGA-CA-6715-01A 63 years, male, asian, stage:Stage IIIB, alive, 383 days 49.4
TCGA-CM-6676-01A 82 years, male, white, stage:Stage I, alive, 337 days 48.5
TCGA-DM-A0XD-01A 65 years, male, white, stage:Stage IIA, dead, 743 days 46.9
TCGA-AZ-5403-01A 43 years, male, white, stage:Stage II, dead, 1910 days 44.7
TCGA-CA-6716-01A 65 years, male, asian, stage:Stage IIA, alive, 371 days 43.7
TCGA-AZ-6608-01A 55 years, female, white, stage:Stage IIIA, dead, 59 days 43.2
TCGA-CM-5344-01A 39 years, female, white, stage:Stage IIIB, alive, 670 days 42.0
TCGA-A6-5660-01A 73 years, male, black or african american, stage:Stage IIIC, alive, 888 days 39.3
TCGA-CA-5255-01A 45 years, male, asian, stage:Stage IIA, alive, 376 days 38.4
TCGA-G4-6320-01A 73 years, male, white, stage:Stage III, alive, 804 days 37.3
TCGA-CM-4744-01A 69 years, male, white, stage:Stage I, alive, 609 days 36.6
TCGA-CK-4952-01A 48 years, female, white, stage:Stage IIIC, alive, 475 days 36.6
TCGA-A6-3809-01A 71 years, female, white, stage:Stage IIB, alive, 996 days 36.5
TCGA-D5-6932-01A 69 years, male, white, stage:Stage IIA, alive, 346 days 34.9
TCGA-D5-6923-01A 57 years, male, white, stage:Stage I, alive, 378 days 34.1
TCGA-CM-6675-01A 35 years, male, black or african american, stage:Stage IVB, alive, 397 days 33.1
TCGA-AY-A71X-01A 54 years, female, black or african american, stage:Stage I, alive, 588 days 33.0
TCGA-G4-6588-01A 58 years, female, white, stage:Stage IIA, alive, 796 days 31.4
TCGA-A6-A567-01A 56 years, male, black or african american, stage:Stage IV, dead, 1881 days 29.1
TCGA-A6-5666-01A 78 years, male, white, stage:Stage IIC, alive, 995 days 28.3
TCGA-DM-A28E-01A 72 years, female, white, stage:Stage IIA, alive, 3648 days 24.4
TCGA-G4-6307-01A 37 years, female, white, stage:Stage IIIB, alive, 1674 days 23.6
TCGA-SS-A7HO-01A 44 years, female, black or african american, stage:Stage IIB, alive, 1829 days 22.4
TCGA-CK-5914-01A 81 years, male, white, stage:Stage IIIB, alive, 669 days 21.8
TCGA-G4-6294-01A 75 years, male, white, stage:Stage IV, dead, 858 days 20.7
TCGA-D5-6540-01A 66 years, male, white, stage:Stage I, alive, 491 days 20.5
TCGA-CM-5349-01A 68 years, female, white, stage:Stage IIA, alive, 915 days 20.2
TCGA-CM-6171-01A 77 years, female, white, stage:Stage I, alive, 427 days 19.6
TCGA-CM-6674-01A 39 years, male, white, stage:Stage IIA, alive, 394 days 18.6
TCGA-F4-6808-01A 54 years, female, white, stage:Stage I, alive, 1024 days 18.2
TCGA-D5-6537-01A 64 years, male, white, stage:Stage IIIB, dead, 146 days 18.1
TCGA-A6-6780-01A 74 years, male, white, stage:Stage IIA, alive, 612 days 17.9
TCGA-AA-3663-01A 42 years, male, stage:Stage II, alive, 212 days 17.0
TCGA-CM-4743-01A 69 years, male, white, stage:Stage IIA, alive, 701 days 16.1
TCGA-RU-A8FL-01A 51 years, male, black or african american, stage:Stage IIIB, alive, 1177 days 12.7
TCGA-NH-A50T-01A 68 years, female, black or african american, stage:Stage IIA, alive, 553 days 12.2
TCGA-DM-A1HB-01A 75 years, male, white, stage:Stage IIIB, alive, 4126 days 11.4
TCGA-DM-A1D9-01A 67 years, female, white, stage:Stage IIA, alive, 4270 days 10.3
TCGA-A6-5667-01A 40 years, female, white, stage:Stage IIIB, alive, 887 days 10.2
TCGA-CM-5862-01A 80 years, male, white, stage:Stage IVA, dead, 153 days 7.8
TCGA-DM-A1D8-01A 50 years, female, white, stage:'--, dead, 383 days 7.8
TCGA-CM-5861-01A 63 years, female, white, stage:Stage IIA, alive, 457 days 6.9
TCGA-A6-5662-01A 46 years, male, white, stage:Stage IVA, alive, 718 days 6.4
TCGA-D5-6538-01A 79 years, female, white, stage:Stage IIIB, alive, 521 days 6.2
TCGA-DM-A285-01A 71 years, female, white, stage:Stage IV, dead, 179 days 6.0
TCGA-A6-5656-01A 74 years, male, white, stage:Stage I, alive, 1001 days 5.9
TCGA-DM-A280-01A 70 years, female, white, stage:Stage IIA, dead, 236 days 5.8
TCGA-DM-A288-01A 68 years, male, white, stage:Stage IIIC, dead, 427 days 5.4
TCGA-G4-6304-01A 66 years, female, white, stage:Stage IIB, alive, 1631 days 5.2
TCGA-DM-A1HA-01A 82 years, male, white, stage:Stage IIIC, alive, 2600 days 5.1
TCGA-G4-6310-01A 69 years, male, white, stage:Stage IIIB, alive, 1935 days 4.8
TCGA-NH-A50U-01A 42 years, male, black or african american, stage:Stage IVA, dead, 334 days 4.6
TCGA-NH-A8F7-01A 53 years, female, black or african american, stage:Stage IIA, alive, 543 days 4.1
TCGA-DM-A282-01A 60 years, female, white, stage:Stage IIA, alive, 4233 days 4.1
TCGA-G4-6317-01A 51 years, female, white, stage:Stage IIIC, alive, 1095 days 4.0
TCGA-DM-A28K-01A 75 years, male, white, stage:Stage IIA, alive, 2988 days 4.0
TCGA-D5-6536-01A 73 years, male, white, stage:Stage IIA, alive, 543 days 3.7
TCGA-CM-6166-01A 48 years, female, white, stage:Stage I, alive, 669 days 3.6
TCGA-AM-5820-01A 59 years, female, white, stage:Stage IVA, alive, 14 days 3.2
TCGA-DM-A0XF-01A 68 years, female, white, stage:Stage IIIC, dead, 1162 days 2.4
TCGA-A6-A56B-01A 57 years, male, black or african american, stage:Stage IIIB, dead, 1711 days 2.2
TCGA-DM-A1D6-01A 88 years, male, white, stage:Stage IIA, dead, 570 days 2.0
TCGA-A6-6652-01A 59 years, male, black or african american, stage:Stage IVA, alive, 751 days 1.4
TCGA-AD-A5EK-01A 51 years, male, black or african american, stage:Stage I, alive, 500 days 1.2
TCGA-CM-6161-01A 36 years, female, white, stage:Stage I, alive, 457 days 0.7
TCGA-DM-A1D0-01A 79 years, female, white, stage:Stage IIA, alive, 3974 days 0.5
TCGA-DM-A28M-01A 63 years, male, white, stage:Stage IIA, alive, 2895 days 0.3
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COLON ADENOCARCINOMA (VALIDATION) - Interactive survival scatter ploti

The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.

The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".

Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.

Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.

& Survival analysisi

Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.

IGHA1 is not prognostic in Colon Adenocarcinoma (validation)


Stage:





Survival analysis
Current cut offi

Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.

:
Best expression cut offi

Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .

When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.

: 796.57
Median expressioni

Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.

: N/A
Median follow up timei

Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.

: N/A
P scorei

Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.

N/A
5-year survival highi

5-year survival for patients with higher expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
5-year survival lowi

5-year survival for patients with lower expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
TCGA RNA samplesi

RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .

Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.

Average pTPM 1874.9
Number of samples 486
Samples
Sample Description pTPM
U0443 54 years, male, NA, stage:T3N0M0, alive, 1677 days 17655.5
U1183 73 years, male, NA, stage:T4N2M0, alive, 959 days 14924.0
U0966 84 years, male, NA, stage:T4N0M0, dead, 1513 days 13255.6
U1474 45 years, female, NA, stage:T1N0MX, alive, 2012 days 11806.5
U0082 85 years, female, NA, stage:T3N1M0, dead, 2339 days 10729.3
U0102 87 years, female, NA, stage:T4N2M0, dead, 670 days 10432.6
U2754 81 years, male, NA, stage:T4N0M0, alive, 809 days 10424.0
U0113 88 years, male, NA, stage:T4N2M0, alive, 1102 days 10406.7
U1486 39 years, female, NA, stage:T4N0M0, alive, 1606 days 10369.1
U0970 86 years, female, NA, stage:T4N1M0, alive, 939 days 10228.0
U2975 85 years, male, NA, stage:T4N1M0, alive, 514 days 9892.2
U0177 81 years, female, NA, stage:T3N0M0, alive, 355 days 8478.4
U0327 70 years, male, NA, stage:T4N0M0, alive, 833 days 8301.6
U1147 73 years, male, NA, stage:T3N0M0, dead, 282 days 8243.1
U0332 66 years, female, NA, stage:T3N0M0, alive, 2101 days 7610.1
U1031 80 years, male, NA, stage:T1N1M0, alive, 1625 days 7200.2
U0397 62 years, male, NA, stage:T4N0M0, alive, 1663 days 7187.8
U0362 66 years, male, NA, stage:T3N0M0, alive, 1148 days 7141.5
U2956 86 years, female, NA, stage:T3N0M0, alive, 540 days 6767.9
U0449 50 years, female, NA, stage:T3N0M0, alive, 1851 days 6608.7
U2837 76 years, female, NA, stage:T4N1M0, alive, 681 days 6255.9
U0428 60 years, male, NA, stage:T4N1M1, alive, 1016 days 6234.8
U0109 82 years, female, NA, stage:T4N2M1, alive, 144 days 6190.6
U1301 66 years, female, NA, stage:T4N2M0, dead, 877 days 6167.6
U0404 57 years, female, NA, stage:T3N2M0, dead, 204 days 6118.8
U0165 81 years, female, NA, stage:T2N0M0, alive, 1702 days 5843.1
U0153 80 years, female, NA, stage:T3N0M0, dead, 1718 days 5697.1
U0333 66 years, female, NA, stage:T3N2M0, dead, 1959 days 5576.1
U1120 76 years, male, NA, stage:T4N1M1, alive, 823 days 5264.2
U0233 71 years, female, NA, stage:T3N1M0, alive, 975 days 5262.0
U0156 82 years, female, NA, stage:T4N1M0, alive, 1573 days 5260.8
U1130 78 years, male, NA, stage:T2N1M0, alive, 913 days 5229.7
U0435 52 years, female, NA, stage:T2N0M0, alive, 3616 days 5191.3
U1239 69 years, male, NA, stage:T2N0M0, dead, 1998 days 5142.5
U1347 65 years, female, NA, stage:T3N0M0, alive, 1401 days 5033.7
U2780 75 years, male, NA, stage:T3N0M0, alive, 778 days 5020.7
U0115 84 years, female, NA, stage:T3N0M0, dead, 1738 days 4955.5
U0465 43 years, male, NA, stage:T3N0M0, alive, 2383 days 4814.0
U0101 84 years, male, NA, stage:T3N1M1, alive, 1878 days 4729.6
U1073 79 years, female, NA, stage:T3N1M0, alive, 1359 days 4665.4
U0247 70 years, female, NA, stage:T3N1M0, alive, 2538 days 4586.5
U0252 70 years, male, NA, stage:T3N1M0, dead, 1761 days 4523.2
U0319 65 years, male, NA, stage:T3N0M0, alive, 2801 days 4471.4
U0129 82 years, male, NA, stage:T4N0M0, dead, 1265 days 4436.2
U0456 46 years, male, NA, stage:T4N0M0, dead, 2222 days 4408.7
U2981 74 years, male, NA, stage:T3N0M0, alive, 508 days 4347.9
U3029 84 years, male, NA, stage:T2N0M0, alive, 475 days 4328.0
U0367 61 years, female, NA, stage:T3N1M0, alive, 3075 days 4268.5
U0274 70 years, male, NA, stage:T3N0M0, dead, 1570 days 4267.0
U0473 33 years, male, NA, stage:T3N1M0, alive, 786 days 4261.4
U2979 73 years, male, NA, stage:T3N2M0, alive, 616 days 4215.6
U1071 78 years, female, NA, stage:T4N0M1, alive, 1514 days 3970.7
U0158 76 years, male, NA, stage:T1N0M0, dead, 3101 days 3957.9
U0281 72 years, male, NA, stage:T3N2M0, alive, 933 days 3945.5
U1127 71 years, female, NA, stage:T3N0M0, alive, 3465 days 3943.8
U0469 42 years, male, NA, stage:T3N0M0, dead, 409 days 3924.0
U1111 76 years, female, NA, stage:T3N0M0, dead, 1631 days 3885.4
U1072 80 years, male, NA, stage:T1N0M0, alive, 1446 days 3828.4
U0361 63 years, male, NA, stage:T3N0M0, alive, 686 days 3810.5
U0288 72 years, male, NA, stage:T1N0M0, alive, 1513 days 3804.9
U1267 65 years, male, NA, stage:T3N1M0, dead, 2869 days 3783.9
U0589 56 years, female, NA, stage:T3N0M0, alive, 1176 days 3704.0
U0181 74 years, female, NA, stage:T1N0M0, alive, 3623 days 3702.8
U3005 74 years, male, NA, stage:T3N0M0, alive, 478 days 3645.2
U2798 68 years, male, NA, stage:T3N0M0, alive, 751 days 3629.6
U0321 70 years, female, NA, stage:T3N0M0, alive, 1029 days 3616.8
U2774 66 years, female, NA, stage:T3N0M0, alive, 783 days 3532.1
U0125 86 years, female, NA, stage:T1N0M0, dead, 668 days 3473.0
U0414 60 years, male, NA, stage:T3N0M0, alive, 1691 days 3451.6
U0467 38 years, female, NA, stage:T3N0M0, alive, 1848 days 3409.0
U0882 93 years, male, NA, stage:T3N0M0, alive, 1675 days 3395.8
U0386 60 years, female, NA, stage:T4N1M1, alive, 2592 days 3390.9
U1086 73 years, female, NA, stage:T1N0M0, alive, 2907 days 3339.7
U0976 82 years, female, NA, stage:T3N2M0, dead, 97 days 3323.5
U0172 78 years, male, NA, stage:T4N0M0, dead, 678 days 3307.8
U2753 81 years, female, NA, stage:T2N0M0, alive, 813 days 3287.9
U1037 80 years, male, NA, stage:T4N0M0, alive, 1658 days 3273.9
U0295 67 years, male, NA, stage:T3N0M0, dead, 2572 days 3218.0
U2819 86 years, female, NA, stage:T3N0M0, alive, 708 days 3191.7
U3042 62 years, male, NA, stage:T3N0M0, alive, 324 days 3191.5
U0078 91 years, female, NA, stage:T3N0M0, alive, 1183 days 3183.0
U0107 82 years, male, NA, stage:T3N0M0, dead, 2354 days 3176.9
U0908 89 years, female, NA, stage:T3N0M1, dead, 40 days 3138.9
U2842 60 years, female, NA, stage:T4N2M0, alive, 675 days 3126.3
U1145 74 years, female, NA, stage:T3N0M0, dead, 445 days 3120.4
U0297 67 years, female, NA, stage:T3N2M0, alive, 1196 days 3100.5
U0100 85 years, female, NA, stage:T3N0M0, dead, 1920 days 3045.1
U0453 46 years, male, NA, stage:T3N0M0, alive, 2859 days 3012.6
U0210 75 years, male, NA, stage:T3N0M0, dead, 1800 days 3002.5
U0357 64 years, female, NA, stage:T3N0M0, alive, 2285 days 2963.4
U0133 85 years, female, NA, stage:T3N0M0, alive, 773 days 2909.9
U0309 68 years, female, NA, stage:T3N0M0, dead, 1898 days 2857.9
U1257 71 years, male, NA, stage:T3N0M0, alive, 833 days 2797.9
U0392 64 years, male, NA, stage:T3N2M0, alive, 489 days 2792.6
U3050 61 years, female, NA, stage:T3N0M0, alive, 407 days 2758.6
U0898 90 years, female, NA, stage:T4aN0M0, dead, 340 days 2747.2
U1253 68 years, female, NA, stage:T3N0M0, dead, 165 days 2740.2
U0236 72 years, male, NA, stage:T3N1M0, alive, 1842 days 2737.1
U1074 77 years, male, NA, stage:T3N0M0, dead, 1043 days 2722.6
U1252 70 years, female, NA, stage:T4N2M0, alive, 1309 days 2711.4
U0214 72 years, male, NA, stage:T4N1M1, alive, 788 days 2691.7
U1204 71 years, male, NA, stage:T4N2M0, alive, 2214 days 2639.8
U0424 56 years, male, NA, stage:T3N0M0, alive, 2192 days 2631.0
U0191 80 years, male, NA, stage:T3N1M0, alive, 900 days 2622.7
U1246 70 years, female, NA, stage:T3N0M0, alive, 1441 days 2621.4
U1304 69 years, female, NA, stage:TXNXM0, alive, 1081 days 2565.1
U0254 75 years, female, NA, stage:T3N1M0, alive, 659 days 2549.1
U1059 77 years, male, NA, stage:T3N1M0, alive, 2790 days 2526.2
U1046 78 years, female, NA, stage:T4N2M1, dead, 697 days 2501.9
U0302 73 years, male, NA, stage:T1N0M0, alive, 892 days 2500.8
U0095 86 years, male, NA, stage:T4N1M0, dead, 1034 days 2488.5
U3018 67 years, male, NA, stage:T4N1M0, alive, 463 days 2486.5
U0360 67 years, female, NA, stage:T3N0M0, dead, 1016 days 2441.2
U0933 85 years, male, NA, stage:T3N2M0, dead, 1960 days 2436.0
U1446 53 years, female, NA, stage:T3N0M0, alive, 2314 days 2415.7
U1401 60 years, female, NA, stage:T3N0M0, alive, 1482 days 2356.1
U0152 82 years, male, NA, stage:T3N1M0, alive, 989 days 2346.5
U1396 62 years, female, NA, stage:T4N0M0, alive, 1168 days 2320.2
U1472 47 years, female, NA, stage:T3N1M0, alive, 1316 days 2314.6
U0387 65 years, male, NA, stage:T2N0M0, alive, 1327 days 2310.4
U0256 74 years, male, NA, stage:T3N0M0, alive, 738 days 2305.4
U0131 81 years, female, NA, stage:T4N2M1, alive, 238 days 2289.7
U0123 83 years, male, NA, stage:T3N0M0, dead, 1880 days 2289.3
U0440 51 years, female, NA, stage:T4N0M0, dead, 2743 days 2288.2
U0403 60 years, male, NA, stage:T3N1M1, dead, 1809 days 2280.1
U1321 65 years, male, NA, stage:T3N1M0, alive, 2578 days 2253.4
U0289 66 years, female, NA, stage:T3N0M0, alive, 3511 days 2251.6
U1240 70 years, male, NA, stage:T4N0M0, alive, 765 days 2250.5
U0450 52 years, female, NA, stage:T3N1M0, alive, 763 days 2224.5
U0149 82 years, female, NA, stage:T3N2M0, alive, 1715 days 2217.5
U2947 77 years, female, NA, stage:T3N0M0, alive, 543 days 2215.4
U1258 70 years, male, NA, stage:T3N1M0, alive, 1373 days 2205.6
U1374 66 years, male, NA, stage:T4N0M0, alive, 827 days 2202.2
U1049 82 years, female, NA, stage:T3N1M0, alive, 1200 days 2193.1
U0315 65 years, female, NA, stage:T2N0M0, alive, 1973 days 2187.4
U3039 74 years, male, NA, stage:T4N1M1, dead, 366 days 2143.5
U0354 69 years, male, NA, stage:T3N1M0, alive, 430 days 2139.7
U0253 74 years, female, NA, stage:T3N0M0, alive, 958 days 2129.1
U0207 73 years, female, NA, stage:T3N0M0, dead, 2593 days 2120.6
U1235 71 years, female, NA, stage:T2N0M0, alive, 1319 days 2089.9
U0396 59 years, male, NA, stage:T4N2M0, alive, 2243 days 2089.4
U2848 67 years, female, NA, stage:T4N2M0, alive, 669 days 2079.8
U0222 72 years, female, NA, stage:T3N2M1, alive, 1779 days 2076.0
U2927 51 years, male, NA, stage:T3N1M0, alive, 564 days 2064.1
U1162 73 years, male, NA, stage:T2N1M0, dead, 354 days 2057.9
U0092 84 years, male, NA, stage:T3N0M0, alive, 2779 days 2056.2
U0427 59 years, male, NA, stage:T2N0M0, alive, 1193 days 2050.2
U0270 70 years, female, NA, stage:T1N0M0, alive, 2187 days 2046.1
U1332 65 years, male, NA, stage:T3N0M0, alive, 1672 days 2044.0
U0338 68 years, female, NA, stage:T3N0M0, alive, 1016 days 2036.5
U1241 70 years, male, NA, stage:T3N1M0, dead, 49 days 2030.4
U1107 80 years, male, NA, stage:T3N0M0, alive, 329 days 2014.5
U1160 74 years, male, NA, stage:T3N1M0, alive, 1557 days 2005.1
U0200 73 years, female, NA, stage:T3N0M0, alive, 2614 days 1988.3
U0312 65 years, female, NA, stage:T4N2M1, alive, 499 days 1956.3
U3048 57 years, male, NA, stage:T4N2M0, alive, 535 days 1953.7
U0471 38 years, female, NA, stage:T3N1M0, alive, 1673 days 1937.3
U0170 77 years, male, NA, stage:T4N1M0, dead, 832 days 1925.9
U0179 75 years, male, NA, stage:T3N1M0, dead, 1043 days 1919.7
U0204 78 years, male, NA, stage:T3N0M0, dead, 770 days 1910.5
U1454 54 years, female, NA, stage:T3N0M0, alive, 393 days 1898.6
U0067 92 years, female, NA, stage:T3N0M0, alive, 2180 days 1895.8
U0368 67 years, male, NA, stage:T2N0M0, alive, 801 days 1885.0
U0249 75 years, female, NA, stage:T4N2M0, dead, 874 days 1872.9
U0345 65 years, female, NA, stage:T3N0M0, alive, 2127 days 1870.6
U1448 53 years, male, NA, stage:T3N0M1, dead, 1512 days 1868.0
U2782 79 years, male, NA, stage:T3N1M1, alive, 773 days 1860.2
U0176 76 years, male, NA, stage:T3N1M0, alive, 2600 days 1858.5
U0365 68 years, female, NA, stage:T4N1M0, dead, 313 days 1833.8
U0413 61 years, male, NA, stage:T2N0M0, alive, 1228 days 1824.7
U0124 81 years, female, NA, stage:T1N0M0, alive, 2430 days 1820.0
U0590 75 years, female, NA, stage:T3N0M0, alive, 661 days 1816.6
U1366 63 years, male, NA, stage:T3N1M0, alive, 2010 days 1811.6
U0398 63 years, female, NA, stage:T3N0M0, alive, 721 days 1803.6
U0942 88 years, male, NA, stage:T3N0M0, alive, 665 days 1797.8
U1228 71 years, male, NA, stage:T3N0M0, alive, 1333 days 1776.7
U1349 63 years, female, NA, stage:T3N1M0, alive, 1899 days 1776.2
U2861 78 years, male, NA, stage:T3N0M0, alive, 652 days 1771.1
U1032 80 years, male, NA, stage:T3N1M0, alive, 2113 days 1770.9
U2747 85 years, female, NA, stage:T4N1M0, dead, 54 days 1768.4
U0196 75 years, male, NA, stage:T3N0M0, alive, 2086 days 1755.7
U0993 83 years, male, NA, stage:T4N2M0, alive, 1267 days 1749.0
U1352 61 years, male, NA, stage:T3N2M1, dead, 741 days 1746.2
U0066 93 years, male, NA, stage:T3N0M0, dead, 2486 days 1744.0
U0335 65 years, female, NA, stage:T3N1M0, alive, 2464 days 1729.5
U0984 84 years, female, NA, stage:T4N0M0, alive, 1287 days 1729.4
U1276 66 years, male, NA, stage:T3N0M0, alive, 2474 days 1724.7
U0121 86 years, male, NA, stage:T4N2M0, alive, 655 days 1721.3
U1018 81 years, male, NA, stage:T4N1M1, dead, 1693 days 1719.1
U0460 43 years, female, NA, stage:T3N0M0, dead, 2069 days 1712.1
U2948 74 years, female, NA, stage:T3N1M0, alive, 543 days 1702.7
U0394 65 years, male, NA, stage:T2N1M0, alive, 969 days 1691.6
U1208 74 years, female, NA, stage:T1N0M0, alive, 834 days 1676.5
U0273 68 years, male, NA, stage:T2N1M0, alive, 2641 days 1662.0
U0950 86 years, female, NA, stage:T4N1M0, alive, 1834 days 1656.8
U0002 82 years, female, NA, stage:T3N2M0, alive, 3691 days 1634.9
U0069 94 years, female, NA, stage:T4N2M0, dead, 135 days 1602.8
U0987 82 years, female, NA, stage:T3N0M0, alive, 2482 days 1600.1
U0399 63 years, female, NA, stage:T4N2M0, dead, 547 days 1592.6
U0421 60 years, male, NA, stage:T3N1M0, alive, 674 days 1584.9
U0063 95 years, male, NA, stage:T1N0M0, dead, 1779 days 1558.8
U1062 78 years, female, NA, stage:T4N0M0, alive, 1689 days 1555.1
U1292 69 years, female, NA, stage:T4N1M0, alive, 1147 days 1553.7
U0162 82 years, female, NA, stage:T3N0M0, alive, 1488 days 1547.2
U1432 60 years, female, NA, stage:T3N1M0, alive, 577 days 1546.0
U0269 69 years, female, NA, stage:T3N0M0, alive, 2530 days 1527.3
U0168 81 years, male, NA, stage:T3N0M0, dead, 948 days 1525.5
U1220 70 years, male, NA, stage:T3N2M0, dead, 1953 days 1502.4
U0090 85 years, female, NA, stage:T3N0M0, dead, 1258 days 1495.1
U0939 82 years, male, NA, stage:T3N1M0, alive, 2960 days 1492.9
U0211 76 years, female, NA, stage:T3N1M0, alive, 1236 days 1483.7
U2792 68 years, male, NA, stage:T2N1M0, alive, 758 days 1479.9
U1104 78 years, female, NA, stage:T4N0M0, alive, 1109 days 1478.5
U0094 89 years, female, NA, stage:T3N2M0, alive, 741 days 1474.7
U0375 66 years, male, NA, stage:T3N0M0, dead, 666 days 1472.7
U0099 85 years, female, NA, stage:T3N0M0, dead, 986 days 1472.7
U0134 82 years, male, NA, stage:T3N0M0, alive, 2009 days 1465.4
U0445 51 years, female, NA, stage:T3N0M0, alive, 1851 days 1453.3
U0290 72 years, male, NA, stage:T4N2M0, dead, 593 days 1452.6
U0929 85 years, male, NA, stage:T4N1M0, alive, 436 days 1421.5
U0229 70 years, female, NA, stage:TXN2M1, dead, 2115 days 1413.6
U0136 79 years, female, NA, stage:T3N0M0, dead, 2795 days 1409.8
U0383 60 years, male, NA, stage:T3N2M1, dead, 595 days 1409.3
U0259 68 years, female, NA, stage:T4N2M0, alive, 76 days 1404.2
U0141 81 years, male, NA, stage:T3N2M0, alive, 2079 days 1397.1
U0439 56 years, male, NA, stage:T3N1M0, alive, 1418 days 1394.0
U0068 92 years, female, NA, stage:T3N1M0, alive, 1991 days 1363.9
U0142 80 years, female, NA, stage:T4N1M0, alive, 2340 days 1334.6
U2902 86 years, female, NA, stage:T2N0M0, alive, 596 days 1331.6
U0390 64 years, male, NA, stage:T3N1M0, alive, 871 days 1330.4
U1274 69 years, male, NA, stage:T2N1M0, alive, 1198 days 1325.3
U1392 61 years, male, NA, stage:T3N0M0, alive, 1513 days 1312.2
U0182 79 years, female, NA, stage:T4N1M0, dead, 260 days 1309.5
U1075 78 years, female, NA, stage:T3N0M0, alive, 1290 days 1295.8
U3025 68 years, male, NA, stage:T4N2M1, alive, 377 days 1294.4
U2953 55 years, female, NA, stage:T4aN0M0, alive, 541 days 1282.1
U0381 60 years, male, NA, stage:T3N1M0, dead, 71 days 1272.6
U0171 78 years, female, NA, stage:T3N1M0, dead, 1920 days 1255.4
U0285 69 years, female, NA, stage:T3N0M0, alive, 2165 days 1226.8
U1303 66 years, male, NA, stage:T4N1M0, alive, 2283 days 1223.9
U1213 73 years, female, NA, stage:T2N0M0, alive, 560 days 1222.7
U1343 62 years, female, NA, stage:T4N2M0, alive, 3178 days 1213.9
U0347 68 years, female, NA, stage:T4N1M1, alive, 628 days 1206.4
U1421 59 years, female, NA, stage:T3N1M0, alive, 1905 days 1205.2
U0161 78 years, male, NA, stage:T4N2M1, alive, 42 days 1200.4
U1188 72 years, female, NA, stage:T3N0M0, dead, 967 days 1187.9
U1344 65 years, female, NA, stage:T3N1M0, alive, 1450 days 1185.5
U0178 76 years, female, NA, stage:T3N1M0, dead, 2096 days 1182.5
U1067 79 years, male, NA, stage:T3N0M0, alive, 1570 days 1180.4
U0448 46 years, male, NA, stage:T3N2M0, alive, 3615 days 1178.8
U0376 66 years, male, NA, stage:T2N1M0, alive, 965 days 1175.8
U0344 69 years, male, NA, stage:T2N1M0, dead, 818 days 1175.0
U0126 79 years, male, NA, stage:T3N0M0, dead, 2876 days 1169.7
U0991 83 years, male, NA, stage:T4N2M0, dead, 534 days 1167.2
U0459 49 years, female, NA, stage:T3N0M0, alive, 966 days 1157.1
U0075 88 years, male, NA, stage:T3N0M0, dead, 3 days 1141.0
U1034 80 years, male, NA, stage:T4N0M0, alive, 1575 days 1136.5
U1251 69 years, male, NA, stage:T4N2M0, alive, 126 days 1131.6
U0916 88 years, female, NA, stage:T3N0M0, alive, 1578 days 1124.8
U0444 52 years, female, NA, stage:T4N1M0, alive, 1841 days 1121.9
U0472 32 years, male, NA, stage:TXN2M0, alive, 542 days 1115.9
U0180 74 years, male, NA, stage:T3N0M1, dead, 965 days 1106.9
U0328 66 years, male, NA, stage:T4N0M0, dead, 1362 days 1104.5
U0223 71 years, male, NA, stage:T4N1M0, alive, 1812 days 1103.9
U1069 77 years, female, NA, stage:T3N0M0, dead, 2187 days 1095.5
U0303 67 years, female, NA, stage:T3N0M0, alive, 2847 days 1094.0
U0382 61 years, female, NA, stage:T3N0M0, alive, 2550 days 1082.2
U0937 86 years, male, NA, stage:T2N0M0, dead, 1558 days 1073.3
U2856 71 years, female, NA, stage:T4N1M1, alive, 660 days 1070.6
U0323 69 years, male, NA, stage:T2N0M0, dead, 1016 days 1044.4
U0169 82 years, male, NA, stage:T4N2M0, alive, 616 days 1042.8
U0111 88 years, male, NA, stage:T2N0M0, alive, 1117 days 1034.6
U1346 66 years, female, NA, stage:T3N0M0, alive, 1137 days 1030.3
U0072 88 years, male, NA, stage:T3N0M0, alive, 2772 days 1021.8
U1017 82 years, male, NA, stage:T3N0M0, alive, 615 days 1005.2
U0260 69 years, male, NA, stage:T1N0M1, alive, 2928 days 999.3
U0356 68 years, male, NA, stage:T4N1M0, alive, 536 days 977.6
U0244 69 years, female, NA, stage:T3N1M0, alive, 3184 days 976.7
U0277 72 years, male, NA, stage:T2N1M0, alive, 270 days 970.2
U0349 63 years, male, NA, stage:T3N1M0, alive, 2682 days 960.5
U2803 66 years, male, NA, stage:T3N1M0, alive, 744 days 948.8
U0117 83 years, female, NA, stage:T2N0M0, dead, 1078 days 948.3
U0231 77 years, female, NA, stage:T2N0M0, alive, 991 days 947.9
U0447 51 years, male, NA, stage:T4N1M0, dead, 1819 days 941.3
U0146 79 years, female, NA, stage:T3N2M0, dead, 733 days 939.3
U0112 86 years, female, NA, stage:T3N0M1, alive, 551 days 932.1
U3032 61 years, female, NA, stage:T3N1M0, alive, 449 days 928.9
U0105 82 years, female, NA, stage:T2N0M0, dead, 2158 days 908.7
U3024 76 years, female, NA, stage:T3N0M0, alive, 463 days 907.8
U0474 30 years, male, NA, stage:T3N1M0, alive, 1017 days 905.0
U1150 75 years, female, NA, stage:T3N0M0, alive, 15 days 902.8
U0135 82 years, female, NA, stage:T3N0M0, alive, 1738 days 890.3
U0275 69 years, female, NA, stage:T3N2M0, alive, 549 days 890.1
U0091 90 years, male, NA, stage:T3N0M0, alive, 520 days 876.7
U0186 73 years, female, NA, stage:T2N0M0, alive, 3726 days 875.7
U0122 85 years, female, NA, stage:T2N0M0, dead, 159 days 868.1
U0187 77 years, male, NA, stage:T3N2M0, alive, 1632 days 868.0
U1250 70 years, male, NA, stage:T2N0M0, alive, 597 days 856.6
U0336 68 years, female, NA, stage:T3N0M0, alive, 1100 days 842.9
U1040 83 years, male, NA, stage:T2N0M0, alive, 1029 days 837.8
U0004 61 years, female, NA, stage:T4N0M0, alive, 3649 days 834.7
U0342 68 years, male, NA, stage:T4N2M0, alive, 305 days 826.0
U3051 48 years, male, NA, stage:T3N2M0, alive, 415 days 817.3
U0972 83 years, female, NA, stage:T1N0M0, alive, 2473 days 815.2
U0442 56 years, male, NA, stage:T3N0M0, alive, 619 days 811.2
U1122 75 years, female, NA, stage:T3N2M0, alive, 1675 days 810.6
U1386 62 years, male, NA, stage:T3N1M0, alive, 1518 days 808.6
U0308 72 years, male, NA, stage:T4N1M0, alive, 1075 days 800.5
U0373 64 years, female, NA, stage:T3N0M0, alive, 1822 days 800.1
U0217 76 years, female, NA, stage:T3N0M0, dead, 538 days 793.0
U0949 84 years, female, NA, stage:T3N0M1, dead, 594 days 789.9
U0977 84 years, female, NA, stage:T4N2M0, dead, 140 days 788.2
U0280 68 years, male, NA, stage:T3N1M1, alive, 2731 days 776.1
U0384 64 years, male, NA, stage:T2N1M1, alive, 1024 days 773.7
U1022 81 years, male, NA, stage:T4N2M0, dead, 61 days 769.2
U3100 89 years, male, NA, stage:T3N1M0, dead, 1608 days 752.0
U0266 70 years, female, NA, stage:T3N1M0, dead, 2221 days 748.3
U0441 50 years, female, NA, stage:T2N1M0, alive, 2738 days 744.9
U0246 74 years, female, NA, stage:T4N0M0, dead, 1192 days 741.0
U0073 87 years, male, NA, stage:T4N0MX, dead, 318 days 738.4
U0355 67 years, male, NA, stage:T4N1M0, dead, 1038 days 731.3
U1429 58 years, female, NA, stage:T3N0M0, alive, 1660 days 729.3
U0385 65 years, male, NA, stage:T3N0M0, alive, 902 days 720.7
U0081 87 years, male, NA, stage:T3N2M0, dead, 248 days 710.9
U0464 49 years, male, NA, stage:T3N0M0, alive, 918 days 710.6
U0263 69 years, female, NA, stage:T3N0M1, alive, 362 days 706.2
U1436 56 years, female, NA, stage:T3N0M0, alive, 1745 days 703.8
U0426 59 years, male, NA, stage:T3N0M0, dead, 976 days 701.3
U2843 89 years, female, NA, stage:T3N0M0, alive, 674 days 690.0
U3022 77 years, male, NA, stage:T2N0M0, alive, 484 days 673.1
U0098 84 years, male, NA, stage:T3N0M0, dead, 2473 days 659.5
U0240 75 years, female, NA, stage:T3N1M0, dead, 800 days 651.8
U0127 80 years, female, NA, stage:T3N0M0, dead, 2753 days 647.5
U0163 81 years, male, NA, stage:T4N0M0, alive, 697 days 645.5
U0103 88 years, female, NA, stage:T3N1M0, alive, 1197 days 642.3
U1045 80 years, female, NA, stage:T4N2M0, alive, 1239 days 642.3
U0227 72 years, female, NA, stage:T4N2M0, alive, 291 days 637.8
U0446 53 years, male, NA, stage:T2N0M0, alive, 1446 days 620.8
U1141 71 years, female, NA, stage:T4N1M1, dead, 596 days 618.9
U1447 57 years, male, NA, stage:T4N1M0, alive, 988 days 617.0
U0455 47 years, female, NA, stage:T3N2M0, alive, 2445 days 611.6
U0401 60 years, male, NA, stage:T4N1M0, alive, 1715 days 606.9
U0157 83 years, male, NA, stage:T4N0M0, dead, 131 days 601.6
U1184 70 years, male, NA, stage:T4N1M0, alive, 290 days 601.5
U0257 69 years, male, NA, stage:T3N1M0, dead, 2508 days 594.3
U0314 67 years, female, NA, stage:T1N0M0, dead, 2436 days 580.7
U1099 77 years, female, NA, stage:T3N0M0, alive, 2068 days 580.2
U0348 69 years, female, NA, stage:T3N0M0, alive, 533 days 578.9
U0189 74 years, female, NA, stage:T3N0M0, dead, 1823 days 577.5
U2928 52 years, male, NA, stage:T2N0M0, alive, 563 days 570.8
U2971 62 years, male, NA, stage:T4aN0M0, alive, 629 days 570.1
U0208 76 years, female, NA, stage:T3N1M0, dead, 1233 days 564.2
U0268 67 years, male, NA, stage:T3N0M0, alive, 2978 days 556.0
U0175 77 years, male, NA, stage:T3N2M0, alive, 1875 days 546.2
U0300 71 years, male, NA, stage:T2N0M0, alive, 974 days 535.2
U0377 59 years, female, NA, stage:T3N2M0, alive, 3720 days 521.9
U0429 58 years, female, NA, stage:T3N0M1, alive, 1099 days 516.0
U0245 71 years, female, NA, stage:T3N1M0, dead, 564 days 514.9
U0209 74 years, male, NA, stage:T3N1M0, alive, 2109 days 508.2
U0287 69 years, female, NA, stage:T2N0M0, alive, 1897 days 502.6
U2958 84 years, female, NA, stage:T1N0M0, alive, 536 days 500.3
U1044 76 years, male, NA, stage:T4N0M0, alive, 3146 days 494.7
U0307 65 years, male, NA, stage:T3N0M0, alive, 2921 days 493.1
U0262 69 years, female, NA, stage:T2N0M0, alive, 2534 days 489.2
U0462 45 years, female, NA, stage:T4N1M0, alive, 1017 days 484.7
U2896 81 years, female, NA, stage:T3N1M0, alive, 609 days 482.7
U0999 84 years, male, NA, stage:T3N2M0, alive, 860 days 481.3
U0083 88 years, male, NA, stage:T4N0M0, dead, 731 days 474.4
U0438 53 years, female, NA, stage:T3N0M0, alive, 2009 days 474.4
U0250 74 years, female, NA, stage:T4N0M0, dead, 906 days 472.9
U0352 62 years, female, NA, stage:T4N2M0, dead, 385 days 467.0
U2891 81 years, male, NA, stage:T3N1M0, alive, 619 days 464.7
U0144 84 years, male, NA, stage:T3N0M0, alive, 1218 days 460.8
U3012 66 years, male, NA, stage:T3N0M0, alive, 472 days 458.6
U0084 86 years, male, NA, stage:T3N0M0, dead, 1662 days 452.5
U0106 82 years, female, NA, stage:T3N1M0, dead, 653 days 451.7
U0938 86 years, female, NA, stage:T3N0M0, dead, 1231 days 447.6
U1327 66 years, female, NA, stage:T3N0M0, alive, 1613 days 434.2
U0195 73 years, male, NA, stage:T3N0M0, alive, 3326 days 425.7
U0358 64 years, female, NA, stage:T4N1M0, alive, 2290 days 422.9
U0198 77 years, male, NA, stage:T3N1M0, alive, 1272 days 419.3
U0416 61 years, male, NA, stage:T1N1M0, alive, 1228 days 402.4
U0151 80 years, female, NA, stage:T3N0M0, alive, 2014 days 398.5
U1102 77 years, male, NA, stage:T2N0M0, alive, 1354 days 397.6
U0154 83 years, male, NA, stage:T3N0M0, alive, 820 days 395.4
U0199 78 years, female, NA, stage:T4N2M0, alive, 1372 days 393.5
U0967 84 years, male, NA, stage:T2N0M0, dead, 1691 days 387.8
U2959 63 years, male, NA, stage:T3N2M0, alive, 536 days 384.0
U0369 66 years, female, NA, stage:T3N0M0, dead, 1095 days 374.5
U3122 85 years, female, NA, stage:T3N0M1, dead, 91 days 369.3
U2995 81 years, female, NA, stage:T3N1M0, alive, 491 days 366.2
U0239 76 years, male, NA, stage:T2N0M0, alive, 67 days 360.0
U1094 79 years, female, NA, stage:T4N1M0, alive, 1267 days 359.0
U0350 68 years, female, NA, stage:T4N0M0, alive, 770 days 350.0
U1060 78 years, male, NA, stage:T3N0M0, alive, 2442 days 344.0
U2999 79 years, female, NA, stage:T2N0M0, alive, 581 days 343.3
U0379 63 years, male, NA, stage:T2N0M0, alive, 1819 days 341.1
U1264 69 years, female, NA, stage:T3N0M0, dead, 1583 days 339.1
U0203 77 years, male, NA, stage:T3N0M0, dead, 827 days 336.2
U3008 82 years, female, NA, stage:T2N0M0, alive, 473 days 335.9
U0370 67 years, female, NA, stage:T3N0M0, alive, 1047 days 333.1
U1041 81 years, male, NA, stage:T2N0M0, alive, 1108 days 332.2
U0340 69 years, female, NA, stage:T4N2M1, dead, 438 days 331.0
U0070 89 years, male, NA, stage:T1N0M0, dead, 1319 days 324.4
U2964 84 years, male, NA, stage:T3N1M0, alive, 637 days 316.3
U1095 76 years, female, NA, stage:T3N1M1, alive, 2425 days 312.5
U0306 71 years, male, NA, stage:T3N1M0, dead, 717 days 312.1
U0411 59 years, female, NA, stage:T3N1M0, alive, 1868 days 291.9
U0104 87 years, female, NA, stage:T4N0M0, dead, 1639 days 289.5
U0215 77 years, male, NA, stage:T3N0M0, alive, 1269 days 288.3
U0183 74 years, male, NA, stage:T3N1M1, dead, 2957 days 282.8
U0110 87 years, female, NA, stage:T3N1M1, dead, 878 days 282.5
U0934 87 years, female, NA, stage:T3N0M0, alive, 1185 days 277.6
U0292 71 years, male, NA, stage:T4N1M0, alive, 1666 days 275.7
U1317 68 years, male, NA, stage:T4N1M0, alive, 965 days 275.1
U1483 43 years, female, NA, stage:T3N0M0, alive, 1094 days 268.5
U0408 56 years, female, NA, stage:T4N0M0, dead, 2100 days 263.6
U0915 88 years, female, NA, stage:T3N0M0, alive, 1613 days 262.3
U0085 88 years, male, NA, stage:T4N1M0, dead, 1698 days 261.4
U1103 76 years, female, NA, stage:T4N2M0, alive, 975 days 255.8
U3000 69 years, female, NA, stage:T3N0M0, alive, 584 days 255.4
U0202 73 years, male, NA, stage:T3N0M0, dead, 2670 days 253.4
U0087 87 years, female, NA, stage:T3N2M0, dead, 337 days 246.8
U0148 80 years, male, NA, stage:T3N0M0, alive, 1780 days 238.2
U0278 73 years, female, NA, stage:T2N0M0, alive, 763 days 237.0
U2889 77 years, male, NA, stage:T4N0M0, alive, 623 days 225.0
U1065 75 years, female, NA, stage:T3N2M0, alive, 2954 days 224.1
U1212 74 years, female, NA, stage:T2N0M0, alive, 69 days 216.4
U0248 72 years, male, NA, stage:T3N0M0, alive, 1870 days 215.9
U1473 46 years, female, NA, stage:T3N0M0, alive, 1553 days 211.0
U1291 68 years, female, NA, stage:T3N0M0, alive, 2000 days 207.7
U0400 62 years, male, NA, stage:T4N0M0, dead, 1073 days 206.2
U1078 80 years, female, NA, stage:T3N0M0, alive, 1016 days 205.8
U1201 72 years, male, NA, stage:T3N2M0, alive, 1484 days 195.9
U0218 77 years, female, NA, stage:T3N0M0, alive, 714 days 194.7
U2882 65 years, female, NA, stage:T3N1M0, alive, 637 days 193.0
U0451 47 years, female, NA, stage:T4N2M0, alive, 3023 days 184.9
U0955 83 years, female, NA, stage:T3N0M0, alive, 2170 days 182.4
U0463 49 years, male, NA, stage:T3N0M0, alive, 946 days 179.9
U0389 64 years, female, NA, stage:T3N1M0, dead, 927 days 173.5
U0108 84 years, female, NA, stage:T3N0M1, alive, 535 days 168.0
U0143 80 years, male, NA, stage:T3N2M0, alive, 2313 days 166.6
U0234 75 years, male, NA, stage:T1N1M0, alive, 990 days 161.0
U0145 81 years, male, NA, stage:T3N1M1, alive, 623 days 150.2
U1047 75 years, female, NA, stage:T4N2M0, alive, 3592 days 140.0
U3030 77 years, female, NA, stage:T3N0M0, alive, 380 days 135.0
U0074 89 years, female, NA, stage:T3N0M0, dead, 1438 days 134.8
U0363 61 years, male, NA, stage:T3N1M0, alive, 3601 days 130.3
U3043 68 years, female, NA, stage:T3N2M0, alive, 287 days 127.6
U0960 86 years, male, NA, stage:T3N0M0, alive, 1009 days 125.7
U0317 64 years, female, NA, stage:T3N2M0, alive, 3209 days 122.9
U0433 58 years, male, NA, stage:T4N1M1, dead, 440 days 107.6
U1384 62 years, male, NA, stage:T4N1M0, alive, 1319 days 106.0
U0089 85 years, female, NA, stage:T1NXM0, dead, 2365 days 98.6
U0185 80 years, male, NA, stage:T1N0M0, alive, 1248 days 95.2
U0224 72 years, female, NA, stage:T3N0M0, alive, 2367 days 92.2
U0193 76 years, male, NA, stage:T3N1M0, dead, 876 days 87.0
U0318 71 years, male, NA, stage:T3N0M0, alive, 762 days 85.0
U1129 74 years, male, NA, stage:T3N0M0, dead, 118 days 83.0
U0320 66 years, female, NA, stage:T4N2M1, alive, 188 days 78.0
U3038 82 years, male, NA, stage:T3N0M0, alive, 328 days 76.1
U0420 56 years, male, NA, stage:T4N1M1, alive, 417 days 75.5
U1369 63 years, male, NA, stage:T3N0M0, dead, 1604 days 73.6
U0167 79 years, male, NA, stage:T3N1M0, alive, 1820 days 71.4
U0267 73 years, male, NA, stage:T4N0M0, dead, 445 days 68.9
U2942 74 years, male, NA, stage:T2N0M0, alive, 549 days 66.0
U1013 82 years, female, NA, stage:T2N1M0, alive, 1439 days 63.0
U0316 68 years, male, NA, stage:T3N2M0, alive, 2012 days 60.8
U0225 77 years, male, NA, stage:T3N1M0, alive, 581 days 60.4
U2935 70 years, male, NA, stage:T4N1M0, alive, 555 days 56.3
U0313 70 years, male, NA, stage:T4N1M0, dead, 1142 days 48.6
U1155 75 years, male, NA, stage:T4N1M0, alive, 1815 days 46.7
U3034 64 years, female, NA, stage:T3N1M0, alive, 443 days 37.8
U1158 76 years, female, NA, stage:T3N1M0, alive, 721 days 35.2
U0235 75 years, female, NA, stage:T3N0M0, alive, 1327 days 26.4
U1338 67 years, female, NA, stage:T4N1M0, dead, 716 days 26.1
U1114 76 years, female, NA, stage:TXNXM1, dead, 473 days 24.0
U1007 82 years, male, NA, stage:T3N0M0, alive, 1333 days 20.6
U0436 59 years, male, NA, stage:T4N1M1, alive, 960 days 17.7
U3037 63 years, male, NA, stage:T3N1M0, alive, 405 days 15.5
U0326 64 years, female, NA, stage:T3N0M0, alive, 3178 days 15.2
U0378 66 years, female, NA, stage:T4N1M0, dead, 815 days 13.6
U2815 82 years, female, NA, stage:T3N0M0, alive, 717 days 10.4
U0166 82 years, female, NA, stage:T3N0M0, alive, 763 days 9.6
U0221 77 years, male, NA, stage:T3N0M0, alive, 569 days 5.8
U0119 81 years, female, NA, stage:T3N0M0, alive, 3259 days 3.1
Show allShow less
RECTUM ADENOCARCINOMA (TCGA) - Interactive survival scatter ploti

The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.

The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".

Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.

Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.

& Survival analysisi

Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.

IGHA1 is not prognostic in Rectum Adenocarcinoma (TCGA)


Stage:


Survival analysis
Current cut offi

Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.

:
Best expression cut offi

Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .

When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.

: 59.83
Median expressioni

Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.

: N/A
Median follow up timei

Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.

: N/A
P scorei

Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.

N/A
5-year survival highi

5-year survival for patients with higher expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
5-year survival lowi

5-year survival for patients with lower expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
TCGA RNA samplesi

RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .

Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.

Average pTPM 696.1
Number of samples 88
Samples
Sample Description pTPM
TCGA-AH-6547-01A 79 years, female, white, stage:'--, dead, 76 days 7937.9
TCGA-AF-4110-01A 77 years, male, white, stage:Stage IVA, alive, 912 days 7678.8
TCGA-EI-6506-01A 78 years, female, white, stage:Stage IIA, alive, 625 days 5597.1
TCGA-EI-6511-01A 52 years, male, white, stage:Stage IIIB, alive, 482 days 2503.7
TCGA-EI-6884-01A 71 years, male, white, stage:Stage IIIA, alive, 328 days 2402.3
TCGA-DC-6160-01A 68 years, male, white, stage:Stage I, alive, 1339 days 2177.5
TCGA-AF-2693-01A 75 years, male, white, stage:Stage I, alive, 1155 days 1946.0
TCGA-EI-6882-01A 59 years, male, white, stage:Stage IIA, alive, 262 days 1892.4
TCGA-AG-3902-01A 61 years, male, stage:Stage IIA, alive, 974 days 1663.9
TCGA-EI-6510-01A 77 years, female, white, stage:'--, alive, 556 days 1422.7
TCGA-AG-3732-01A 78 years, female, stage:Stage I, alive, 1003 days 1413.1
TCGA-F5-6811-01A 72 years, female, white, stage:Stage IIA, alive, 979 days 1338.2
TCGA-DC-6158-01A 70 years, male, white, stage:Stage I, dead, 334 days 1279.3
TCGA-AG-3731-01A 65 years, male, stage:Stage IV, alive, 1126 days 1235.9
TCGA-AG-3592-01A 68 years, male, stage:Stage IIA, alive, 1035 days 1223.5
TCGA-F5-6465-01A 64 years, female, white, stage:Stage IIA, alive, 1506 days 1183.8
TCGA-EI-6508-01A 48 years, female, white, stage:Stage IIIB, alive, 636 days 1132.4
TCGA-AF-6136-01A 72 years, female, white, stage:Stage IIIB, alive, 741 days 1076.3
TCGA-F5-6464-01A 77 years, female, white, stage:Stage IIIC, dead, 303 days 1035.7
TCGA-BM-6198-01A 73 years, male, white, stage:Stage IIIB, alive, 646 days 1022.8
TCGA-AF-2690-01A 76 years, female, white, stage:Stage IIIC, dead, 524 days 770.3
TCGA-AH-6897-01A 48 years, male, white, stage:Stage I, alive, 804 days 715.7
TCGA-CI-6621-01A 63 years, male, white, stage:Stage IIIB, alive, 419 days 691.8
TCGA-F5-6702-01A 71 years, male, white, stage:Stage IVA, dead, 869 days 658.4
TCGA-AH-6903-01A 46 years, male, white, stage:Stage IIIB, alive, 592 days 642.0
TCGA-AF-6655-01A 66 years, male, white, stage:Stage IIIA, alive, 609 days 573.5
TCGA-CI-6620-01A 41 years, female, white, stage:Stage IVA, alive, 1009 days 561.1
TCGA-EI-6512-01A 64 years, female, white, stage:Stage IIIB, alive, 538 days 503.1
TCGA-CI-6622-01A 74 years, male, white, stage:Stage IIB, alive, 1362 days 466.1
TCGA-F5-6812-01A 67 years, male, white, stage:Stage IIA, alive, 1110 days 465.9
TCGA-DC-6681-01A 70 years, female, white, stage:Stage IVA, alive, 790 days 442.7
TCGA-EI-6881-01A 60 years, male, white, stage:Stage IIIA, alive, 499 days 419.2
TCGA-AF-A56K-01A 56 years, male, black or african american, stage:Stage IIA, alive, 2635 days 385.6
TCGA-AF-2687-01A 57 years, male, white, stage:Stage IIIC, alive, 1427 days 364.4
TCGA-AG-4022-01A 59 years, female, stage:Stage II, alive, 1400 days 362.7
TCGA-F5-6813-01A 70 years, male, white, stage:Stage IIIC, dead, 598 days 350.0
TCGA-DC-5337-01A 69 years, male, white, stage:Stage I, alive, 792 days 306.2
TCGA-G5-6233-01A 74 years, male, white, stage:'--, dead, 556 days 295.3
TCGA-AF-6672-01A 43 years, male, white, stage:Stage IV, alive, 748 days 278.3
TCGA-DC-4749-01A 57 years, male, white, stage:Stage I, alive, 762 days 262.3
TCGA-EI-6917-01A 33 years, male, white, stage:Stage IIIA, alive, 531 days 255.2
TCGA-G5-6641-01A 67 years, male, white, stage:Stage IIIA, alive, 804 days 234.5
TCGA-AF-A56L-01A 48 years, female, black or african american, stage:Stage IIIC, alive, 2007 days 229.6
TCGA-AG-3591-01A 66 years, female, stage:Stage IIA, alive, 1035 days 226.8
TCGA-EI-6507-01A 60 years, male, white, stage:Stage IIA, alive, 607 days 217.2
TCGA-F5-6571-01A 62 years, female, white, stage:Stage IIA, alive, 1288 days 212.0
TCGA-F5-6864-01A 74 years, female, white, stage:Stage IIIB, alive, 379 days 209.8
TCGA-DC-6155-01A 31 years, female, white, stage:Stage IIIA, alive, 425 days 190.7
TCGA-EI-7004-01A 37 years, female, white, stage:'--, alive, 257 days 178.5
TCGA-EI-6883-01A 63 years, male, white, stage:Stage IIC, alive, 350 days 169.0
TCGA-DY-A0XA-01A 57 years, female, white, stage:Stage IIA, alive, 3846 days 164.3
TCGA-DC-6156-01A 62 years, male, white, stage:Stage IVA, alive, 943 days 162.2
TCGA-DY-A1DC-01A 72 years, female, white, stage:Stage IIA, dead, 1258 days 159.5
TCGA-AF-A56N-01A 47 years, female, black or african american, stage:Stage IIA, alive, 360 days 147.7
TCGA-AF-5654-01A 73 years, female, white, stage:Stage I, dead, 512 days 142.5
TCGA-CL-4957-01A 79 years, female, stage:'--, dead, 425 days 133.6
TCGA-EI-6885-01A 57 years, female, white, stage:Stage IV, alive, 415 days 127.4
TCGA-F5-6814-01A 57 years, male, white, stage:Stage IIA, alive, 1131 days 126.4
TCGA-DC-4745-01A 49 years, female, white, stage:Stage IIIB, alive, 639 days 112.5
TCGA-DC-5869-01A 62 years, female, black or african american, stage:Stage IIIB, alive, 943 days 103.2
TCGA-EI-7002-01A 58 years, male, white, stage:Stage IV, alive, 364 days 100.0
TCGA-EF-5831-01A 72 years, male, white, stage:Stage IIA, alive, 127 days 92.0
TCGA-AH-6549-01A 66 years, male, white, stage:'--, alive, 532 days 83.9
TCGA-DC-6154-01A 57 years, female, white, stage:Stage IVA, alive, 365 days 81.1
TCGA-AH-6644-01A 73 years, male, white, stage:'--, alive, 838 days 80.9
TCGA-G5-6235-01A 72 years, male, white, stage:Stage IIIB, alive, 1696 days 74.9
TCGA-AF-3911-01A 48 years, male, white, stage:Stage IIIC, alive, 1148 days 67.6
TCGA-F5-6861-01A 60 years, female, white, stage:Stage IIA, alive, 1160 days 67.4
TCGA-DY-A1DE-01A 56 years, female, white, stage:Stage IIA, alive, 3932 days 62.9
TCGA-DC-6157-01A 48 years, male, black or african american, stage:Stage I, alive, 1581 days 59.8
TCGA-DC-6683-01A 43 years, male, white, stage:Stage IIIB, alive, 762 days 58.3
TCGA-DC-6682-01A 57 years, male, white, stage:Stage IIA, alive, 762 days 53.3
TCGA-CL-5917-01A 71 years, female, white, stage:Stage IIIC, alive, 2376 days 36.0
TCGA-EI-6514-01A 59 years, female, white, stage:Stage IIA, alive, 496 days 25.6
TCGA-F5-6863-01A 71 years, female, white, stage:Stage IIIB, dead, 361 days 20.6
TCGA-AH-6544-01A 60 years, male, white, stage:'--, alive, 1173 days 19.8
TCGA-AG-4021-01A 84 years, female, stage:Stage IV, dead, 121 days 18.5
TCGA-AG-3742-01A 85 years, female, stage:Stage I, alive, 30 days 16.2
TCGA-DT-5265-01A 51 years, male, asian, stage:Stage II, alive, 384 days 13.5
TCGA-G5-6572-01A 56 years, male, white, stage:'--, dead, 1432 days 9.3
TCGA-DY-A1DD-01A 77 years, female, white, stage:Stage IIIB, dead, 1741 days 8.5
TCGA-DY-A1DG-01A 75 years, male, white, stage:Stage IVA, dead, 1566 days 8.3
TCGA-DY-A1DF-01A 73 years, female, white, stage:Stage IIIC, dead, 734 days 5.2
TCGA-EF-5830-01A 54 years, male, white, stage:Stage IIB, alive, 106 days 5.0
TCGA-AH-6643-01A 50 years, male, white, stage:Stage IIIC, dead, 1314 days 4.4
TCGA-EI-6509-01A 53 years, male, white, stage:Stage IIIC, alive, 517 days 3.8
TCGA-DY-A1H8-01A 77 years, female, white, stage:Stage IIIA, dead, 992 days 1.5
TCGA-EI-6513-01A 59 years, male, white, stage:Stage IIIB, alive, 497 days 0.5
Show allShow less
RECTUM ADENOCARCINOMA (VALIDATION) - Interactive survival scatter ploti

The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.

The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".

Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.

Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.

& Survival analysisi

Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.

IGHA1 is not prognostic in Rectum Adenocarcinoma (validation)


Stage:




Survival analysis
Current cut offi

Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.

:
Best expression cut offi

Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .

When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.

: 3301.24
Median expressioni

Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.

: N/A
Median follow up timei

Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.

: N/A
P scorei

Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.

N/A
5-year survival highi

5-year survival for patients with higher expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
5-year survival lowi

5-year survival for patients with lower expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
TCGA RNA samplesi

RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .

Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.

Average pTPM 2345.3
Number of samples 207
Samples
Sample Description pTPM
U0470 39 years, female, NA, stage:T2N2M0, alive, 961 days 17672.6
U0437 57 years, male, NA, stage:T1N1M0, alive, 849 days 10056.5
U0511 92 years, female, NA, stage:T3N0M0, dead, 2387 days 9844.5
U2960 52 years, male, NA, stage:T3N1M0, alive, 176 days 9239.2
U0343 69 years, female, NA, stage:T2N0M0, alive, 701 days 9055.3
U0279 74 years, male, NA, stage:T2N1M0, dead, 176 days 8687.0
U0656 68 years, male, NA, stage:T3N2M0, alive, 1150 days 8257.0
U0388 61 years, male, NA, stage:T2N1M0, alive, 2186 days 8207.7
U0097 83 years, male, NA, stage:T3N0M1, dead, 2903 days 8164.7
U0205 72 years, female, NA, stage:T3N2M0, alive, 2984 days 7764.4
U0159 79 years, female, NA, stage:T3N1M0, alive, 1517 days 7605.9
U0155 77 years, male, NA, stage:T2N0M0, dead, 1672 days 7382.0
U0592 90 years, female, NA, stage:T2N0M0, dead, 670 days 6888.2
U0190 75 years, male, NA, stage:T3N0M0, alive, 2367 days 6265.8
U0862 75 years, male, NA, stage:T4N2M1, dead, 1064 days 5948.2
U0666 59 years, male, NA, stage:T3N1M0, alive, 709 days 5936.8
U0671 93 years, male, NA, stage:T3N1M0, dead, 785 days 5817.4
U0407 59 years, male, NA, stage:T3N1M0, dead, 2027 days 5786.7
U0557 51 years, female, NA, stage:T3N2M0, alive, 2009 days 5568.7
U0334 64 years, male, NA, stage:T3N1M0, alive, 3171 days 5534.0
U0600 72 years, male, NA, stage:T3N1M0, alive, 1659 days 5122.6
U0402 58 years, female, NA, stage:T3N1M0, dead, 2487 days 5064.5
U0405 63 years, male, NA, stage:T3N1M0, alive, 829 days 4866.2
U0658 75 years, male, NA, stage:T3N2M0, alive, 1108 days 4861.8
U0604 67 years, male, NA, stage:T3N1M0, alive, 1522 days 4858.4
U0485 74 years, male, NA, stage:T3N0M0, dead, 2737 days 4736.1
U2779 74 years, male, NA, stage:T3N0M0, alive, 419 days 4708.2
U0255 68 years, female, NA, stage:T3N2M0, dead, 1079 days 4686.3
U0603 73 years, male, NA, stage:T2N1M0, alive, 1904 days 4676.6
U0264 69 years, male, NA, stage:T4N2M0, alive, 2020 days 4605.7
U0232 71 years, female, NA, stage:T2N0M0, dead, 994 days 4286.6
U0568 59 years, male, NA, stage:T4N1M0, alive, 1287 days 4276.2
U0663 78 years, female, NA, stage:T3N1M0, alive, 762 days 4249.0
U2943 79 years, male, NA, stage:T3N0M0, alive, 189 days 4058.9
U0640 64 years, male, NA, stage:T2N0M0, alive, 1696 days 4052.9
U0088 86 years, male, NA, stage:T3N1M1, dead, 260 days 4036.2
U0242 69 years, male, NA, stage:T3N0M0, alive, 2950 days 3970.2
U0542 68 years, male, NA, stage:T3N2M0, dead, 1482 days 3857.1
U0497 66 years, female, NA, stage:T3N1M0, alive, 1414 days 3826.4
U0552 67 years, male, NA, stage:T3N2M0, alive, 1701 days 3793.8
U0213 71 years, male, NA, stage:T3N1M0, alive, 3018 days 3687.0
U0793 80 years, male, NA, stage:T3N1M1, dead, 195 days 3665.8
U0258 73 years, male, NA, stage:T4N1M2, dead, 195 days 3574.7
U0814 80 years, female, NA, stage:T3N1M1, dead, 482 days 3537.8
U0508 70 years, male, NA, stage:T3N1M0, alive, 1120 days 3485.3
U0304 68 years, male, NA, stage:T3N2M0, alive, 2065 days 3451.6
U0077 86 years, female, NA, stage:T2N0M0, dead, 588 days 3361.7
U0601 75 years, female, NA, stage:T4N1M0, alive, 1368 days 3240.8
U0192 76 years, male, NA, stage:T3N0M0, alive, 2081 days 3220.6
U0194 79 years, male, NA, stage:T3N1M0, alive, 680 days 3186.2
U0230 70 years, female, NA, stage:T1N1M0, alive, 3152 days 3176.0
U0339 64 years, male, NA, stage:T3N2M0, alive, 2155 days 3152.4
U0532 72 years, male, NA, stage:T3N0M0, dead, 730 days 3150.8
U2994 70 years, female, NA, stage:T4N1M0, alive, 132 days 3078.5
U0534 69 years, female, NA, stage:T3N2M0, alive, 1361 days 3058.1
U0593 74 years, male, NA, stage:T4bN0M0, alive, 876 days 2995.6
U0305 66 years, male, NA, stage:T3N1M0, alive, 2676 days 2979.8
U0643 58 years, female, NA, stage:T2N1M0, dead, 1583 days 2956.2
U0311 70 years, female, NA, stage:T3N1M0, alive, 1176 days 2903.3
U0545 62 years, male, NA, stage:T3N0M0, alive, 2340 days 2887.0
U0096 88 years, female, NA, stage:T4N2M1, dead, 257 days 2885.5
U0430 55 years, male, NA, stage:T3N2M0, dead, 2472 days 2880.9
U0561 68 years, female, NA, stage:T3N2M0, alive, 1577 days 2742.7
U0637 56 years, male, NA, stage:T3N1M0, alive, 1997 days 2739.3
U0707 59 years, male, NA, stage:T3N1M0, alive, 518 days 2712.6
U0001 69 years, female, NA, stage:T3N0M0, alive, 3188 days 2711.8
U0409 61 years, female, NA, stage:T3N1M0, alive, 934 days 2696.6
U2991 77 years, female, NA, stage:T1N0M0, alive, 135 days 2688.3
U0594 71 years, male, NA, stage:T3N0M0, alive, 2852 days 2630.5
U0296 67 years, male, NA, stage:T3N0M0, alive, 2610 days 2610.0
U0803 68 years, female, NA, stage:T3N1M1, dead, 495 days 2542.5
U0380 62 years, male, NA, stage:T2N0M0, alive, 2155 days 2536.6
U0648 65 years, female, NA, stage:T3N0M0, alive, 1415 days 2503.0
U0809 85 years, female, NA, stage:T3N1M1, dead, 275 days 2453.2
U0535 54 years, female, NA, stage:T4N1M0, alive, 2473 days 2423.9
U0299 71 years, female, NA, stage:T4N2M0, alive, 43426 days 2391.2
U0434 54 years, male, NA, stage:T2N0M0, alive, 2558 days 2336.1
U0584 66 years, male, NA, stage:T3N2M0, alive, 2705 days 2327.3
U0238 73 years, male, NA, stage:T3N0M0, dead, 868 days 2327.1
U0417 54 years, female, NA, stage:T3N2M1, dead, 893 days 2322.7
U0519 69 years, male, NA, stage:T4N2M0, dead, 519 days 2290.9
U0553 68 years, female, NA, stage:T3N2M0, alive, 1704 days 2274.9
U0457 50 years, male, NA, stage:T3N0M0, alive, 833 days 2268.8
U0498 72 years, female, NA, stage:T4N1M0, alive, 1906 days 2247.9
U0492 63 years, male, NA, stage:T3N2M0, alive, 1114 days 2205.7
U0466 40 years, male, NA, stage:T3N0M0, alive, 1381 days 2174.2
U0137 80 years, male, NA, stage:T3N1M0, dead, 1799 days 2084.4
U0423 55 years, female, NA, stage:T4N2M0, alive, 2735 days 2041.7
U0805 65 years, male, NA, stage:T3N1M1, dead, 731 days 2005.9
U0140 80 years, male, NA, stage:T3N2M0, alive, 2655 days 1970.0
U0802 70 years, male, NA, stage:T3N2M1, dead, 338 days 1898.2
U0654 72 years, male, NA, stage:T3N2M0, alive, 1220 days 1841.6
U0086 86 years, female, NA, stage:T3N1M0, dead, 594 days 1827.6
U0651 70 years, male, NA, stage:T3N0M0, alive, 1354 days 1824.6
U0132 82 years, male, NA, stage:T3N1M0, alive, 1798 days 1819.9
U0325 67 years, male, NA, stage:T3N0M0, dead, 1947 days 1810.9
U0353 62 years, female, NA, stage:T1N0M0, alive, 2912 days 1800.4
U0212 77 years, male, NA, stage:T3N0M1, alive, 1330 days 1768.1
U0581 66 years, female, NA, stage:T3N2M0, alive, 1660 days 1765.5
U0324 70 years, female, NA, stage:T4N1M0, alive, 938 days 1754.5
U0602 79 years, male, NA, stage:T2N0M0, alive, 1385 days 1742.0
U0848 86 years, male, NA, stage:T3N1M1, dead, 1185 days 1672.1
U0694 85 years, male, NA, stage:T4N0M0, dead, 489 days 1668.0
U0331 64 years, male, NA, stage:T3N1M1, dead, 906 days 1664.8
U0641 61 years, female, NA, stage:T3N0M0, dead, 1626 days 1656.8
U0415 56 years, male, NA, stage:T3N1M0, alive, 2526 days 1643.2
U0138 80 years, male, NA, stage:T3N1M0, dead, 2472 days 1640.9
U0578 42 years, male, NA, stage:T2N2M0, alive, 1724 days 1635.6
U0556 66 years, male, NA, stage:T3N2M0, alive, 2037 days 1610.5
U0243 69 years, female, NA, stage:T3N2M0, alive, 2975 days 1579.2
U0865 72 years, female, NA, stage:T3N1M1, dead, 856 days 1577.9
U0374 65 years, female, NA, stage:T2N0M0, alive, 1067 days 1558.7
U0776 62 years, male, NA, stage:T4N2M0, alive, 1702 days 1543.7
U3047 70 years, male, NA, stage:T3N2M0, alive, 205 days 1521.7
U0645 60 years, male, NA, stage:T3N0M0, alive, 1567 days 1520.4
U0322 67 years, male, NA, stage:T4N2M0, alive, 1694 days 1507.8
U0514 52 years, female, NA, stage:T2N2M0, alive, 2799 days 1458.0
U0220 76 years, male, NA, stage:T2N0M0, alive, 1066 days 1443.2
U0030 82 years, female, NA, stage:T2N0M0, dead, 987 days 1424.5
U0120 80 years, female, NA, stage:T3N0M0, alive, 3233 days 1406.0
U2834 70 years, male, NA, stage:T3N1M0, alive, 323 days 1380.4
U0650 57 years, female, NA, stage:T2N2M0, alive, 1331 days 1342.3
U0494 73 years, male, NA, stage:T4N2M0, alive, 1290 days 1321.3
U0647 85 years, female, NA, stage:T3N0M0, alive, 1476 days 1317.7
U2955 50 years, male, NA, stage:T3N1M0, alive, 181 days 1295.0
U0533 68 years, male, NA, stage:T3N2M0, alive, 2248 days 1294.1
U0298 72 years, male, NA, stage:T3N1M0, alive, 513 days 1274.8
U0713 63 years, male, NA, stage:T2N0M0, alive, 359 days 1271.8
U0079 86 years, male, NA, stage:T4N2M0, dead, 1891 days 1264.0
U0329 70 years, male, NA, stage:T3N1M0, dead, 805 days 1252.1
U0371 62 years, female, NA, stage:T3N0M0, alive, 2688 days 1203.9
U0391 64 years, female, NA, stage:T3N0M0, alive, 1179 days 1186.9
U0657 46 years, female, NA, stage:T2N0M0, dead, 1109 days 1025.7
U0454 46 years, male, NA, stage:T3N1M0, alive, 2997 days 1018.5
U0642 87 years, male, NA, stage:T3N0M0, alive, 1603 days 943.6
U0572 67 years, female, NA, stage:T3N1M0, alive, 2621 days 908.5
U0346 67 years, male, NA, stage:T4N2M0, alive, 1148 days 901.0
U0649 67 years, male, NA, stage:T2N0M0, alive, 1424 days 891.3
U0539 66 years, male, NA, stage:T4N2M0, alive, 2017 days 881.5
U0359 64 years, male, NA, stage:T3N2M0, dead, 2443 days 858.3
U0558 63 years, female, NA, stage:T3N2M0, alive, 2011 days 841.9
U0502 65 years, male, NA, stage:T4N1M0, alive, 1065 days 829.1
U0174 81 years, male, NA, stage:T3N0M0, alive, 450 days 816.5
U0251 71 years, male, NA, stage:T2N0M0, alive, 1906 days 813.1
U0596 61 years, male, NA, stage:T3N0M0, alive, 2233 days 805.5
U0652 76 years, male, NA, stage:T3N0M0, alive, 1319 days 803.4
U0271 69 years, female, NA, stage:T3N1M0, alive, 2414 days 787.2
U0216 72 years, male, NA, stage:T2N0M0, alive, 2684 days 784.8
U0293 67 years, male, NA, stage:T3N1M0, alive, 2717 days 780.9
U0686 77 years, female, NA, stage:T4bN0M0, dead, 123 days 773.3
U0675 84 years, female, NA, stage:T4N1M0, dead, 89 days 772.9
U0577 59 years, female, NA, stage:T3N2M0, alive, 2474 days 711.6
U0282 70 years, male, NA, stage:T3N2M0, dead, 1869 days 665.1
U0366 67 years, male, NA, stage:T3NXM1, alive, 895 days 652.0
U2761 74 years, female, NA, stage:T3N1M0, alive, 447 days 636.9
U0422 56 years, female, NA, stage:T3N2M1, dead, 1710 days 635.4
U3049 72 years, male, NA, stage:T2N0M0, alive, 533 days 628.7
U3023 63 years, female, NA, stage:T2N0M0, alive, 404 days 622.8
U0116 85 years, male, NA, stage:T3N1M0, dead, 930 days 595.7
U0351 63 years, female, NA, stage:T3N2M0, alive, 2886 days 557.0
U0538 73 years, female, NA, stage:T3N1M0, alive, 1308 days 544.5
U0550 43 years, male, NA, stage:T3N2M0, alive, 2191 days 543.5
U0188 76 years, female, NA, stage:T3N1M0, alive, 2134 days 539.4
U0431 59 years, female, NA, stage:T3N1M0, alive, 695 days 500.7
U0241 76 years, female, NA, stage:T2N1M0, alive, 552 days 460.8
U0750 64 years, female, NA, stage:T3N2M0, dead, 1393 days 446.9
U0555 60 years, male, NA, stage:T3N2M0, alive, 2043 days 442.7
U2972 91 years, male, NA, stage:T3N0M0, alive, 161 days 433.5
U2764 65 years, male, NA, stage:T3N2M0, alive, 440 days 430.9
U0820 74 years, male, NA, stage:T3NXM1, dead, 622 days 419.3
U0173 77 years, male, NA, stage:T2N0M0, dead, 2375 days 396.6
U0512 65 years, male, NA, stage:T3N0M0, alive, 2550 days 384.4
U0804 66 years, female, NA, stage:T3N2M1, dead, 380 days 376.0
U0484 55 years, male, NA, stage:T4N2M0, alive, 1275 days 363.9
U0605 74 years, male, NA, stage:T2N0M0, alive, 952 days 350.1
U0147 78 years, female, NA, stage:T3N0M0, dead, 2085 days 332.9
U0591 81 years, male, NA, stage:T2N0M0, alive, 1023 days 318.7
U0364 67 years, female, NA, stage:T4N2M1, dead, 151 days 305.7
U0800 74 years, male, NA, stage:T3N2M1, dead, 411 days 299.5
U2836 87 years, male, NA, stage:T3N0M0, alive, 322 days 288.2
U0638 52 years, male, NA, stage:T2N0M0, alive, 1801 days 288.1
U0080 86 years, female, NA, stage:T3N0M0, dead, 489 days 280.7
U0478 75 years, male, NA, stage:T4N2M0, alive, 2051 days 279.7
U0128 86 years, female, NA, stage:T3N1M0, alive, 449 days 279.3
U0406 58 years, female, NA, stage:T4N2M1, dead, 778 days 265.2
U0595 71 years, male, NA, stage:T2N0M0, alive, 2535 days 263.3
U0294 73 years, male, NA, stage:T4N0M1, alive, 561 days 249.7
U0852 36 years, male, NA, stage:T3N2M1, alive, 1651 days 227.1
U0276 73 years, male, NA, stage:T3N1M1, alive, 934 days 221.8
U0237 71 years, male, NA, stage:T3N1M0, alive, 2492 days 196.1
U0562 58 years, female, NA, stage:T3N1M0, alive, 3092 days 189.8
U0468 38 years, female, NA, stage:T3N0M0, alive, 1921 days 179.2
U0857 76 years, male, NA, stage:T4N2M1, dead, 954 days 172.8
U0418 60 years, male, NA, stage:T4N1M0, alive, 1246 days 169.4
U0114 84 years, male, NA, stage:T3N0M0, alive, 1910 days 166.7
U0579 65 years, female, NA, stage:T4aN0M0, alive, 2845 days 146.5
U0228 76 years, male, NA, stage:T2N0M0, alive, 963 days 134.5
U0118 81 years, female, NA, stage:T3N2M0, dead, 350 days 133.7
U0849 81 years, female, NA, stage:T4N0M1, dead, 267 days 86.6
U0695 85 years, male, NA, stage:T3N0M0, alive, 566 days 86.5
U0861 62 years, female, NA, stage:T4N2M1, dead, 184 days 77.4
U0587 47 years, male, NA, stage:T3N1M0, alive, 2107 days 62.5
U0093 85 years, male, NA, stage:T3N2M0, dead, 1118 days 62.2
U0576 69 years, male, NA, stage:T3N2M0, alive, 2540 days 57.1
U0284 73 years, male, NA, stage:T3N2M0, alive, 581 days 27.2
U0565 84 years, male, NA, stage:T4N1M0, alive, 1452 days 10.6
U0458 49 years, male, NA, stage:T3N2M0, alive, 1073 days 7.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples 197
Samples
Sample ID Sample type nRPX
bd67de01-ad7d-431a-9ad6-4dd5a1 Tumor 2.9
799893aa-d523-4a08-9ea7-611cca_D3 Tumor 2.6
515040a4-bbfb-4a15-9e53-e7b6e6_D2 Normal 1.9
067db520-1b1f-4569-9414-e37a6e_D2 Normal 1.7
8960a27e-69d8-4ec8-a795-c6cf8a_D3 Tumor 1.7
8c73f3a5-fea8-4942-90c0-966f66_D3 Tumor 1.6
7478980a-60fb-4f5e-aa1c-2d7941_D2 Normal 1.3
b4e91300-405e-4239-b8da-5e1a42_D2 Tumor 1.2
c307b7b0-534a-45fa-a420-35f773_D2 Normal 1.2
b605fafc-f7dd-44cc-9c86-da04e3_D2 Tumor 1.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3 Tumor 1.1
ea6df59d-5240-4927-b19d-d44590_D2 Tumor 1.1
8cc7e656-0152-4359-8566-0581c3 Tumor 1.0
e3c012aa-51c2-42b0-a478-bd620f_D2 Normal 1.0
2cc46aec-6142-4fb9-aca5-c442b9_D2 Normal 0.9
e8faa3a7-9fc7-428e-9334-a0afd0_D3 Tumor 0.9
46dfc1e4-0110-4d9f-888e-6a29ab_D2 Normal 0.9
47d2a435-b203-4438-ae72-53c424_D2 Normal 0.8
9bf309bc-0fb6-4060-aba2-888eb3_D2 Tumor 0.8
71b2c1cc-0a31-4ca8-8beb-251e17_D2 Normal 0.8
0630ecb0-b664-4e75-bb3c-fb62ee_D3 Tumor 0.8
974e136f-7020-4a38-b9c1-094df9_D2 Normal 0.7
88c621d7-7fb3-4825-abbe-82ae4c_D2 Normal 0.7
b2400046-1d25-429d-a821-6040a6 Tumor 0.6
f6b1079b-9d67-4c63-b3d0-d562b5_D2 Tumor 0.6
2f8b02e4-1848-4abc-a95e-dd9eb5_D3 Tumor 0.6
e14c2cbe-eca0-4745-97f6-8f27bd_D2 Normal 0.6
d8805fa4-30f9-4417-907e-fdc50c_D2 Normal 0.6
21cab01c-e968-42cc-9651-1e53c0_D3 Tumor 0.6
0aef1fe8-ca61-4113-81d0-d82ee7_D2 Tumor 0.5
01d1ffca-4235-4dfe-bf62-56f71d_D3 Tumor 0.5
1425a1a1-c835-47a2-a9b9-4db5d0_D8 Tumor 0.5
722378ea-d1a7-4cfc-aca5-ba45f9_D8 Tumor 0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2 Normal 0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2 Tumor 0.4
372c900a-fced-4eef-9dc4-7282ec_D2 Tumor 0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3 Tumor 0.4
bed27f66-ef3b-4868-b4ad-205018_D2 Normal 0.4
8af80ae9-2088-4124-91fb-8d6c17_D3 Tumor 0.4
c2c53076-b5db-4b7d-983c-a35740_D3 Tumor 0.4
e515eb5c-8005-416a-9b42-59de9d_D8 Tumor 0.3
79097be1-cd36-4a23-99d1-3d744f_D2 Tumor 0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2 Normal 0.3
411d9597-c785-4de5-b449-29a80d_D2 Normal 0.3
3765c09a-fff7-4b37-bf2b-452b23_D2 Normal 0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2 Normal 0.2
62627b73-1763-48bc-8eea-e5bd76_D2 Normal 0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2 Normal 0.2
695b0b00-a86b-43c0-a6c8-50a840_D3 Tumor 0.2
e74089a9-f78c-4ffe-8174-aef71b_D2 Normal 0.2
c1b66358-d103-493c-b8ec-92c43b_D1 Tumor 0.2
b2978e90-cd2a-4665-b1bf-508a99_D2 Normal 0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2 Tumor 0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2 Normal 0.2
1bf00d93-240f-47e8-8055-f546b0_D2 Normal 0.2
1136008b-97ce-49b0-bf24-abbea6_D2 Normal 0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2 Tumor 0.1
a27cf22d-836e-49a7-802f-47c1db_D2 Normal 0.1
0d5554d1-1653-4589-a44f-43113e_D2 Normal 0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2 Normal 0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2 Tumor 0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3 Tumor 0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3 Tumor 0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2 Tumor 0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3 Tumor 0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3 Tumor -0.1
2666323d-522f-4f0a-823c-ff8866_D2 Normal -0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2 Normal -0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3 Tumor -0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2 Normal -0.1
359f5c81-2575-497e-8630-e4866f_D2 Normal -0.1
26acb513-3ffe-49ad-8581-9dfc97_D2 Normal -0.2
cbd0e774-c741-4753-9c9e-391a7d_D2 Normal -0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3 Tumor -0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2 Normal -0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2 Normal -0.2
bda3787a-1397-4716-bb17-4992a8_D2 Normal -0.2
233ec093-9a30-4ef4-a12c-91757e_D2 Normal -0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2 Normal -0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2 Tumor -0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2 Normal -0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2 Normal -0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2 Tumor -0.3
059a7065-3a5f-4eea-97e5-85ab01_D2 Normal -0.3
591fb460-703a-437d-8d9a-ff2a35_D3 Tumor -0.3
23e938d0-92b8-4aea-90c1-4385df_D2 Normal -0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3 Tumor -0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2 Normal -0.4
41a04113-2061-4923-bca5-da586c_D2 Normal -0.4
37219a7c-6fe2-4684-a494-d0be08_D2 Tumor -0.4
df479b07-bbf6-472d-a580-c3fd0c_D2 Normal -0.4
526c3664-5b9b-4a2b-a00e-a14623_D2 Tumor -0.4
2167c594-c33f-4795-b95b-69bd07_D2 Tumor -0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2 Normal -0.4
6797a69d-2f74-44b9-8147-cd4fac_D2 Normal -0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3 Tumor -0.5
f635496c-0046-4ecd-89bc-7a4f33_D2 Tumor -0.5
a5c8bf1d-776c-406f-82a3-2d9ce6_D2 Normal -0.5
019cd0c0-733d-4b25-90e3-d54ce0_D2 Normal -0.5
b3696374-c6c0-49dd-833e-596e26_D2 Normal -0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2 Tumor -0.5
8b9e4266-7754-4f2c-ac9e-329905_D2 Tumor -0.5
a243b765-61ab-4aa6-88e1-226896_D2 Normal -0.5
e2e83b72-b14b-4b06-9461-1115d6_D2 Tumor -0.6
f9d6fb1b-988e-4D88-9272-cc672f_D8 Tumor -0.6
e070ff10-058b-4733-93ab-bdd702_D2 Normal -0.6
76498650-fdbf-4f5d-a19a-cce9a2_D2 Normal -0.6
1563ef63-d2e6-406f-adc1-255949_D3 Tumor -0.6
154115ac-2ec2-439d-b55e-0464ee_D2 Normal -0.6
f6173181-0993-4a5f-a4cd-5f30b1_D2 Tumor -0.6
8980bb9d-65c1-41cb-9f90-dddd5f_D2 Normal -0.7
5347d2ce-df0c-4d81-a3e2-22db11_D2 Normal -0.7
9a6879b1-4f78-4ac6-9fca-dad049_D2 Normal -0.7
cc271b3d-ed33-481f-9d23-15f2f6_D2 Normal -0.7
f6afe41c-111d-4818-8485-fe95e0_D2 Tumor -0.7
9a48cf57-e1f0-4ea1-9804-d563f2_D2 Normal -0.8
b4dd4a04-5eda-43dd-8298-215b07_D3 Tumor -0.8
3a17283c-a0f4-4514-956b-080d11_D2 Normal -0.8
5557e478-3e6f-475b-8acc-1b4159_D8 Tumor -0.8
6d9f8b06-f28c-4e9b-823b-33ebb7_D2 Normal -0.8
d0511ea6-43c3-4c61-b08e-cf49b7_D3 Tumor -0.8
e196a0b4-2a05-43de-bb30-ceb761_D2 Tumor -0.9
1fbb1add-4660-4ec1-b8c2-360f9f_D2 Normal -0.9
211cbcef-cb1f-4c80-a1c8-a76d3c_D2 Normal -0.9
cd3a9d59-bf13-48f3-ae97-bdbca4_D2 Normal -0.9
5de06adb-e00d-4114-8d76-04bd30_D2 Normal -0.9
1c070992-647b-4173-a481-904c4d_D2 Normal -0.9
6b0a3188-d8ca-4d50-a377-a8fe4c_D2 Normal -0.9
6e20c8e9-ab75-4996-9296-445b00_D2 Tumor -1.0
377cdd37-d1bd-4042-997e-478a0f_D2 Normal -1.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8 Tumor -1.0
5c70e654-583c-4dd3-ad42-0d9b39_D2 Normal -1.0
573048dd-2502-40e0-8e8c-c41bb8_D3 Tumor -1.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2 Tumor -1.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2 Normal -1.0
cd89ffbb-574a-4052-bd9a-00c890_D2 Tumor -1.0
0c330883-ab58-4a5a-bff7-07d283_D2 Normal -1.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3 Tumor -1.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2 Tumor -1.1
5271982c-5de1-4d6e-b414-b1f3ef_D2 Tumor -1.1
3d797911-d476-436f-9cce-33e20c_D8 Tumor -1.1
a313f6ef-5994-4d49-9e66-c26911_D2 Normal -1.1
4b263734-430f-41dc-a296-8691f0_D3 Tumor -1.1
d80408d6-598d-4411-ab34-eb2545_D2 Normal -1.1
e0068ac5-f557-443a-bd4b-bdfcef_D3 Tumor -1.1
0f238226-864c-4de0-8c61-01e729_D2 Tumor -1.2
64ed43a2-f083-43cb-9d0d-118495_D2 Normal -1.2
853ecf90-71e6-4156-a56f-a34b65_D2 Normal -1.2
3e8019e8-125f-4615-a1fa-a448e9_D2 Normal -1.2
903d5fe0-970a-47be-a97f-3cc914_D2 Normal -1.2
54565eae-05c5-4dae-bde9-ae4874_D2 Normal -1.2
65867ab1-5eab-44a8-b2bb-d27263_D2 Normal -1.2
b871c0c1-a97b-4ac1-887c-0317b6_D2 Normal -1.2
66b57abc-0d49-46bb-a390-0e11a9_D2 Tumor -1.3
a467b905-fc0b-427b-8753-6d38dd_D3 Tumor -1.3
87408d9e-4029-4e8f-b14c-8efc04_D3 Tumor -1.3
82157a70-12f1-4913-b548-d98881_D2 Normal -1.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8 Tumor -1.3
348f6009-e1be-44d2-a093-9ca844_D2 Normal -1.3
42216d99-e8ff-43c9-b6db-28c3a6_D3 Tumor -1.3
d3078fa8-0692-411f-8441-0c7c48_D8 Tumor -1.3
321fb3b2-ebb6-4ea5-b737-081264_D2 Tumor -1.3
c7aeb685-31b3-445e-8177-a3e729_D3 Tumor -1.4
e1cd3d70-132b-452f-ba10-026721_D2 Tumor -1.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3 Tumor -1.4
02cde0c0-6840-495b-9b11-007d82_D2 Normal -1.5
43bc845e-d22e-4c10-b3e8-bc54e6_D2 Normal -1.5
5a3aa99d-ca10-45f6-939f-12392a_D2 Normal -1.6
04ded2cd-3b57-4aec-9c11-48f58e_D2 Normal -1.6
c9f0f144-47f3-4d64-b29f-bcedfa_D2 Normal -1.7
5f823547-ee16-45b7-a6a0-ef25d6_D3 Tumor -1.7
db3f5ad9-d14d-4126-a3e7-d80faa_D3 Tumor -1.7
092c5a37-325b-4181-b230-2d8fff_D2 Tumor -1.7
f5ed5ebc-881d-456a-80d7-42c9e7_D2 Normal -1.9
da747cee-5026-4923-af63-ad9f81_D2 Normal -1.9
f4bccfe4-98d0-466b-a6d7-44341b_D3 Tumor -1.9
0065bfd9-e1b9-43a8-9379-9658ba_D3 Tumor -2.1
820a3f08-5bb1-44b3-a133-ee167e_D2 Tumor -2.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2 Tumor -2.2
58a92726-4d1f-4e44-8938-52b97d_D3 Tumor N/A
16ac8458-5200-4302-9ad0-b311df_D2 Normal N/A
963fc8db-f412-4427-a198-23f660_D2 Normal N/A
bc574f73-89ba-44d7-992e-82622c_D3 Tumor N/A
2b810478-7956-4a8b-870d-184859_D2 Tumor N/A
87b0e853-43ea-4efb-8a22-dd221f_D2 Normal N/A
5e886f1c-8165-4232-9591-d80799_D2 Normal N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2 Normal N/A
176d1b96-8c6e-44fe-8a32-e15194_D2 Normal N/A
a84149b1-8453-45f0-8400-d7b12f_D2 Normal N/A
efee6bb9-69dd-46c2-85b3-b55962_D2 Normal N/A
694e8df1-d9ee-473b-bec1-4f9237_D2 Normal N/A
43192517-085e-450e-9481-0a6713_D3 Tumor N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3 Tumor N/A
c65afd57-530c-4366-b2c8-463a46_D2 Tumor N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3 Tumor N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3 Tumor N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3 Tumor N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni

A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.

Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.

 

Antibody stainingi

Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.

Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.


Antibody HPA001217

Antibody HPA006013
 Staining
  High
  Medium
  Low
  Not detected
 Intensity
  Strong
  Moderate
  Weak
  Negative
 Quantity
  >75%
  75%-25%
  <25%
  None
 Location
  Nuclear
  Cytoplasmic/membranous
  Cytoplasmic/membranous,nuclear
  None
Adenocarcinoma, NOS

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