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COL3A1
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  • STRUCT & INT

  • COL3A1
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.

COL3A1 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.

: 465.9
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 625.6
Number of samples 254
Samples
Sample Description pTPM
TCGA-WS-AB45-01A 52 years, female, black or african american, stage:Stage IIA, alive, 2130 days 9756.4
TCGA-A6-2674-01A 71 years, male, white, stage:Stage IV, alive, 1331 days 6496.0
TCGA-A6-6781-01A 43 years, male, white, stage:Stage IIIC, alive, 598 days 6144.3
TCGA-AZ-6607-01A 69 years, male, white, stage:Stage IV, dead, 97 days 5218.3
TCGA-F4-6703-01A 64 years, male, white, stage:Stage IIA, alive, 1456 days 4591.9
TCGA-F4-6569-01A 60 years, male, white, stage:Stage I, alive, 1087 days 3652.9
TCGA-A6-A566-01A 55 years, female, black or african american, stage:Stage IIIB, dead, 758 days 3232.1
TCGA-D5-6926-01A 65 years, male, white, stage:Stage IIIB, alive, 275 days 2543.1
TCGA-D5-6923-01A 57 years, male, white, stage:Stage I, alive, 378 days 2359.8
TCGA-CM-6162-01A 48 years, female, white, stage:Stage IIIB, alive, 365 days 2276.4
TCGA-A6-6654-01A 65 years, female, white, stage:Stage IIIB, alive, 726 days 1968.1
TCGA-G4-6297-01A 55 years, female, white, stage:Stage IV, alive, 2506 days 1935.8
TCGA-D5-6534-01A 62 years, female, white, stage:Stage IIA, alive, 1316 days 1865.2
TCGA-CM-6167-01A 57 years, female, black or african american, stage:Stage IIIC, alive, 456 days 1863.5
TCGA-F4-6855-01A 70 years, female, white, stage:Stage IIA, alive, 1442 days 1833.4
TCGA-D5-6924-01A 68 years, male, white, stage:Stage IIA, alive, 435 days 1802.0
TCGA-AA-3489-01A 75 years, male, stage:Stage II, dead, 214 days 1799.8
TCGA-A6-3810-01A 62 years, male, white, stage:Stage IIA, alive, 1111 days 1731.8
TCGA-AZ-6605-01A 77 years, male, white, stage:Stage IIIB, dead, 159 days 1553.3
TCGA-AY-6196-01A 47 years, male, white, stage:Stage IIIC, alive, 6 days 1446.2
TCGA-5M-AAT6-01A 40 years, female, black or african american, stage:Stage IV, dead, 290 days 1416.3
TCGA-A6-6142-01A 56 years, female, white, stage:Stage IVA, alive, 763 days 1404.6
TCGA-F4-6805-01A 58 years, female, white, stage:Stage IIA, alive, 1047 days 1401.8
TCGA-G4-6314-01A 76 years, female, white, stage:Stage IV, alive, 1093 days 1384.0
TCGA-AD-6901-01A 78 years, male, white, stage:'--, dead, 682 days 1377.8
TCGA-A6-5664-01A 80 years, male, black or african american, stage:Stage IIIC, alive, 672 days 1367.2
TCGA-CM-6168-01A 84 years, female, black or african american, stage:Stage IIA, alive, 395 days 1283.2
TCGA-AD-6964-01A 58 years, male, white, stage:'--, dead, 331 days 1256.4
TCGA-D5-6529-01A 69 years, male, white, stage:Stage IIA, alive, 614 days 1249.7
TCGA-CM-5860-01A 44 years, male, white, stage:Stage IIA, alive, 974 days 1248.2
TCGA-F4-6570-01A 78 years, female, white, stage:Stage IIA, dead, 188 days 1242.0
TCGA-F4-6704-01A 60 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days 1219.9
TCGA-CM-5348-01A 72 years, male, white, stage:Stage IIIB, alive, 699 days 1187.7
TCGA-CK-6748-01A 45 years, female, white, stage:Stage IV, alive, 61 days 1187.6
TCGA-G4-6311-01A 80 years, male, white, stage:Stage III, alive, 1199 days 1182.5
TCGA-D5-6927-01A 34 years, male, white, stage:Stage IIA, alive, 287 days 1157.0
TCGA-CM-6679-01A 58 years, male, white, stage:Stage IIA, alive, 306 days 1120.1
TCGA-A6-2675-01A 78 years, male, white, stage:Stage IIA, alive, 1321 days 1077.0
TCGA-A6-6651-01A 55 years, female, white, stage:Stage IIIB, alive, 662 days 1072.5
TCGA-F4-6807-01A 51 years, female, white, stage:Stage IIIC, alive, 1309 days 1056.5
TCGA-A6-5657-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 962 days 1041.4
TCGA-AD-6899-01A 84 years, male, white, stage:Stage IIIC, dead, 176 days 1037.9
TCGA-D5-6928-01A 80 years, male, white, stage:Stage IIA, alive, 354 days 1026.9
TCGA-D5-6922-01A 76 years, male, white, stage:Stage IIIA, alive, 308 days 989.7
TCGA-D5-6929-01A 49 years, female, white, stage:Stage IV, alive, 408 days 983.2
TCGA-F4-6459-01A 61 years, female, white, stage:Stage IIIB, dead, 262 days 950.6
TCGA-A6-A56B-01A 57 years, male, black or african american, stage:Stage IIIB, dead, 1711 days 838.6
TCGA-D5-6541-01A 49 years, male, white, stage:Stage IIA, alive, 474 days 835.6
TCGA-D5-7000-01A 79 years, female, white, stage:Stage I, alive, 312 days 817.9
TCGA-AU-6004-01A 69 years, female, white, stage:Stage I, alive, 824 days 788.4
TCGA-G4-6299-01A 69 years, male, white, stage:Stage IIIC, alive, 2268 days 770.8
TCGA-D5-6536-01A 73 years, male, white, stage:Stage IIA, alive, 543 days 767.9
TCGA-D5-6540-01A 66 years, male, white, stage:Stage I, alive, 491 days 767.8
TCGA-CM-5344-01A 39 years, female, white, stage:Stage IIIB, alive, 670 days 729.3
TCGA-AD-6548-01A 81 years, female, white, stage:Stage I, alive, 650 days 709.2
TCGA-A6-A5ZU-01A 59 years, male, black or african american, stage:Stage IIIB, alive, 293 days 700.1
TCGA-CA-6718-01A 46 years, male, asian, stage:Stage IIA, dead, 306 days 676.2
TCGA-CM-6169-01A 67 years, male, black or african american, stage:Stage IIA, alive, 396 days 671.0
TCGA-AZ-6600-01A 64 years, male, black or african american, stage:Stage IV, dead, 368 days 669.6
TCGA-CA-6719-01A 77 years, male, asian, stage:Stage IIA, alive, 435 days 669.5
TCGA-CM-6170-01A 73 years, female, white, stage:Stage I, alive, 457 days 669.2
TCGA-AA-3511-01A 64 years, male, stage:Stage II, alive, 212 days 663.0
TCGA-DM-A28A-01A 78 years, male, white, stage:Stage IIIC, dead, 805 days 658.0
TCGA-AA-3655-01A 68 years, male, stage:Stage II, alive, 1856 days 650.0
TCGA-NH-A6GC-01A 66 years, female, black or african american, stage:Stage IVB, alive, 389 days 646.4
TCGA-CA-6716-01A 65 years, male, asian, stage:Stage IIA, alive, 371 days 645.6
TCGA-F4-6463-01A 51 years, male, white, stage:Stage IIA, alive, 1087 days 643.5
TCGA-A6-3809-01A 71 years, female, white, stage:Stage IIB, alive, 996 days 637.4
TCGA-D5-6931-01A 77 years, male, white, stage:Stage IIIC, alive, 365 days 630.5
TCGA-AA-3496-01A 83 years, female, stage:Stage II, alive, 31 days 629.9
TCGA-CK-6751-01A 88 years, female, white, stage:Stage I, alive, 518 days 625.3
TCGA-AZ-6603-01A 77 years, female, white, stage:'--, dead, 899 days 622.3
TCGA-D5-5538-01A 60 years, female, white, stage:Stage IIIB, dead, 1661 days 616.1
TCGA-D5-6930-01A 67 years, male, white, stage:Stage IIA, alive, 406 days 613.6
TCGA-CK-5913-01A 58 years, female, white, stage:Stage IIA, alive, 1561 days 611.2
TCGA-AD-6895-01A 84 years, male, white, stage:Stage IIIB, alive, 763 days 601.6
TCGA-CM-6674-01A 39 years, male, white, stage:Stage IIA, alive, 394 days 561.8
TCGA-D5-6932-01A 69 years, male, white, stage:Stage IIA, alive, 346 days 553.3
TCGA-AM-5821-01A 68 years, female, white, stage:Stage IIA, alive, 28 days 551.9
TCGA-A6-6782-01A 82 years, male, white, stage:Stage IIB, alive, 617 days 547.2
TCGA-AZ-5403-01A 43 years, male, white, stage:Stage II, dead, 1910 days 545.4
TCGA-CM-5863-01A 60 years, female, white, stage:Stage IIIB, alive, 457 days 542.3
TCGA-CA-6717-01A 57 years, male, asian, stage:Stage IIA, alive, 388 days 536.8
TCGA-F4-6461-01A 41 years, female, white, stage:Stage IIIC, dead, 338 days 536.2
TCGA-D5-5539-01A 60 years, male, white, stage:Stage IIIA, alive, 596 days 534.3
TCGA-CM-6675-01A 35 years, male, black or african american, stage:Stage IVB, alive, 397 days 529.4
TCGA-D5-5537-01A 83 years, male, white, stage:'--, dead, 1381 days 525.7
TCGA-D5-6535-01A 80 years, female, white, stage:Stage IIIB, alive, 460 days 520.8
TCGA-AZ-6601-01A 68 years, male, white, stage:Stage II, dead, 3042 days 518.3
TCGA-G4-6303-01A 54 years, female, white, stage:Stage IV, dead, 2003 days 510.7
TCGA-CM-6677-01A 75 years, female, white, stage:Stage IIA, alive, 337 days 509.2
TCGA-A6-4105-01A 79 years, male, white, stage:Stage IIA, dead, 442 days 504.8
TCGA-CA-5797-01A 56 years, male, asian, stage:Stage IIA, alive, 383 days 499.8
TCGA-CK-5914-01A 81 years, male, white, stage:Stage IIIB, alive, 669 days 494.4
TCGA-G4-6627-01A 84 years, male, white, stage:Stage IIA, alive, 2175 days 493.4
TCGA-DM-A285-01A 71 years, female, white, stage:Stage IV, dead, 179 days 493.0
TCGA-CM-6172-01A 70 years, female, white, stage:Stage IIIB, alive, 335 days 486.5
TCGA-A6-A565-01A 34 years, female, black or african american, stage:Stage IIIC, dead, 494 days 483.6
TCGA-CM-6165-01A 74 years, male, white, stage:Stage IIA, alive, 488 days 479.9
TCGA-F4-6460-01A 51 years, female, white, stage:Stage IIIB, dead, 972 days 478.8
TCGA-AZ-4323-01A 37 years, male, white, stage:Stage IV, dead, 43 days 465.9
TCGA-D5-6898-01A 51 years, female, white, stage:Stage I, alive, 229 days 464.6
TCGA-D5-6533-01A 68 years, female, white, stage:'--, alive, 775 days 455.7
TCGA-CA-5254-01A 42 years, female, asian, stage:Stage IIA, alive, 386 days 454.2
TCGA-CM-6680-01A 78 years, female, white, stage:Stage IIIB, alive, 366 days 444.3
TCGA-A6-6653-01A 82 years, male, white, stage:Stage I, alive, 742 days 435.3
TCGA-F4-6854-01A 77 years, female, white, stage:Stage IIA, alive, 16 days 430.0
TCGA-A6-6138-01A 61 years, male, white, stage:Stage I, alive, 685 days 426.6
TCGA-A6-5656-01A 74 years, male, white, stage:Stage I, alive, 1001 days 420.6
TCGA-NH-A50V-01A 69 years, male, black or african american, stage:Stage IIIB, alive, 588 days 410.1
TCGA-AD-5900-01A 67 years, male, white, stage:Stage I, alive, 370 days 409.0
TCGA-CK-5916-01A 71 years, female, white, stage:Stage I, dead, 643 days 402.5
TCGA-G4-6588-01A 58 years, female, white, stage:Stage IIA, alive, 796 days 401.0
TCGA-CM-6161-01A 36 years, female, white, stage:Stage I, alive, 457 days 389.6
TCGA-CM-5349-01A 68 years, female, white, stage:Stage IIA, alive, 915 days 388.1
TCGA-AY-A69D-01A 55 years, female, black or african american, stage:Stage IIA, alive, 543 days 385.5
TCGA-AA-3526-01A 57 years, male, stage:Stage I, alive, 580 days 381.3
TCGA-CM-5868-01A 59 years, female, white, stage:Stage IVA, alive, 518 days 377.4
TCGA-A6-6649-01A 66 years, male, white, stage:Stage IIIB, alive, 735 days 371.8
TCGA-AD-6890-01A 65 years, male, white, stage:'--, alive, 746 days 370.5
TCGA-AU-3779-01A 80 years, female, white, stage:Stage IIA, alive, 441 days 370.3
TCGA-G4-6625-01A 77 years, female, white, stage:Stage IIA, alive, 2792 days 369.6
TCGA-NH-A8F8-01A 79 years, male, black or african american, stage:Stage IV, dead, 511 days 369.3
TCGA-CM-6163-01A 74 years, male, white, stage:Stage I, alive, 427 days 366.2
TCGA-AM-5820-01A 59 years, female, white, stage:Stage IVA, alive, 14 days 360.2
TCGA-AD-6965-01A 62 years, male, white, stage:Stage IIIC, alive, 805 days 357.8
TCGA-NH-A6GA-01A 58 years, male, black or african american, stage:Stage IIIC, dead, 302 days 352.3
TCGA-CM-4751-01A 62 years, male, white, stage:Stage IIIB, alive, 822 days 349.9
TCGA-AA-3662-01A 80 years, female, stage:Stage IV, alive, 184 days 348.1
TCGA-A6-5667-01A 40 years, female, white, stage:Stage IIIB, alive, 887 days 342.8
TCGA-QG-A5Z1-01A 71 years, male, black or african american, stage:Stage IIIB, dead, 256 days 339.7
TCGA-AA-3660-01A 51 years, female, stage:Stage II, alive, 2375 days 336.4
TCGA-CM-6676-01A 82 years, male, white, stage:Stage I, alive, 337 days 332.9
TCGA-CK-6747-01A 87 years, female, white, stage:Stage IIA, alive, 820 days 331.4
TCGA-D5-6531-01A 75 years, male, white, stage:Stage IIA, alive, 540 days 330.7
TCGA-A6-5660-01A 73 years, male, black or african american, stage:Stage IIIC, alive, 888 days 330.6
TCGA-F4-6856-01A 45 years, male, white, stage:Stage I, alive, 1074 days 324.6
TCGA-A6-5662-01A 46 years, male, white, stage:Stage IVA, alive, 718 days 323.1
TCGA-AZ-6598-01A 77 years, female, white, stage:Stage II, dead, 1503 days 321.1
TCGA-A6-A567-01A 56 years, male, black or african american, stage:Stage IV, dead, 1881 days 312.9
TCGA-F4-6806-01A 59 years, female, white, stage:Stage I, alive, 1260 days 310.9
TCGA-NH-A6GB-01A 71 years, female, black or african american, stage:Stage IIIC, alive, 476 days 308.3
TCGA-DM-A280-01A 70 years, female, white, stage:Stage IIA, dead, 236 days 306.1
TCGA-AA-3675-01A 84 years, male, stage:Stage II, alive, 1431 days 296.9
TCGA-D5-6920-01A 77 years, female, white, stage:Stage IIA, alive, 377 days 295.0
TCGA-CA-6715-01A 63 years, male, asian, stage:Stage IIIB, alive, 383 days 289.8
TCGA-A6-6780-01A 74 years, male, white, stage:Stage IIA, alive, 612 days 284.6
TCGA-A6-5661-01A 80 years, female, black or african american, stage:Stage IIA, alive, 1020 days 282.7
TCGA-DM-A282-01A 60 years, female, white, stage:Stage IIA, alive, 4233 days 275.8
TCGA-AD-A5EK-01A 51 years, male, black or african american, stage:Stage I, alive, 500 days 273.9
TCGA-CK-4950-01A 68 years, female, black or african american, stage:Stage IIIB, alive, 2599 days 265.7
TCGA-CM-6171-01A 77 years, female, white, stage:Stage I, alive, 427 days 257.8
TCGA-D5-6530-01A 53 years, male, white, stage:Stage I, alive, 621 days 255.2
TCGA-NH-A50U-01A 42 years, male, black or african american, stage:Stage IVA, dead, 334 days 253.5
TCGA-DM-A0XF-01A 68 years, female, white, stage:Stage IIIC, dead, 1162 days 253.2
TCGA-DM-A1HB-01A 75 years, male, white, stage:Stage IIIB, alive, 4126 days 249.8
TCGA-AA-3713-01A 68 years, male, stage:Stage IV, alive, 579 days 246.8
TCGA-F4-6809-01A 52 years, female, white, stage:Stage IVA, dead, 403 days 244.3
TCGA-D5-6532-01A 61 years, male, white, stage:Stage IIA, alive, 555 days 238.2
TCGA-AY-6197-01A 60 years, male, white, stage:Stage IIA, alive, 652 days 232.0
TCGA-CM-6164-01A 46 years, female, white, stage:Stage IIA, alive, 883 days 223.7
TCGA-G4-6310-01A 69 years, male, white, stage:Stage IIIB, alive, 1935 days 221.1
TCGA-A6-5659-01A 82 years, male, white, stage:Stage I, alive, 926 days 216.3
TCGA-AY-6386-01A 66 years, female, black or african american, stage:Stage IIIB, alive, 542 days 215.5
TCGA-3L-AA1B-01A 61 years, female, black or african american, stage:Stage I, alive, 475 days 214.4
TCGA-G4-6628-01A 78 years, male, white, stage:Stage I, alive, 2424 days 214.3
TCGA-CM-6166-01A 48 years, female, white, stage:Stage I, alive, 669 days 211.1
TCGA-G4-6293-01A 49 years, female, white, stage:Stage III, alive, 4051 days 209.0
TCGA-D5-6539-01A 45 years, female, white, stage:'--, alive, 380 days 205.6
TCGA-QG-A5YW-01A 55 years, female, black or african american, stage:Stage IIIC, alive, 896 days 199.4
TCGA-CM-5862-01A 80 years, male, white, stage:Stage IVA, dead, 153 days 189.4
TCGA-A6-2686-01A 81 years, female, white, stage:Stage IIA, dead, 1126 days 189.1
TCGA-A6-6141-01A 31 years, male, black or african american, stage:Stage IIA, alive, 255 days 189.1
TCGA-AD-6963-01A 58 years, male, white, stage:'--, alive, 834 days 187.8
TCGA-AY-A8YK-01A 44 years, male, black or african american, stage:Stage IVA, alive, 573 days 183.4
TCGA-CK-5912-01A 81 years, male, white, stage:Stage I, dead, 1493 days 181.1
TCGA-5M-AATE-01A 76 years, male, black or african american, stage:Stage IIA, alive, 1200 days 177.2
TCGA-A6-6137-01A 55 years, male, white, stage:Stage IIIB, alive, 824 days 174.8
TCGA-DM-A0XD-01A 65 years, male, white, stage:Stage IIA, dead, 743 days 174.4
TCGA-G4-6309-01A 40 years, female, black or african american, stage:Stage IIIB, alive, 2600 days 170.6
TCGA-NH-A50T-01A 68 years, female, black or african american, stage:Stage IIA, alive, 553 days 159.2
TCGA-A6-6652-01A 59 years, male, black or african american, stage:Stage IVA, alive, 751 days 158.6
TCGA-AA-3697-01A 77 years, male, stage:Stage II, alive, 2587 days 155.5
TCGA-G4-6295-01A 70 years, female, white, stage:Stage II, alive, 254 days 155.4
TCGA-A6-6140-01A 62 years, male, white, stage:Stage IIA, alive, 734 days 154.1
TCGA-T9-A92H-01A 82 years, male, black or african american, stage:Stage IIA, alive, 362 days 153.7
TCGA-CK-4952-01A 48 years, female, white, stage:Stage IIIC, alive, 475 days 151.9
TCGA-A6-6650-01A 69 years, female, black or african american, stage:Stage IIA, alive, 627 days 151.3
TCGA-CM-6678-01A 63 years, female, white, stage:Stage IVA, alive, 335 days 149.4
TCGA-G4-6626-01A 90 years, male, white, stage:Stage IIA, dead, 1 days 148.4
TCGA-G4-6322-01A 65 years, male, white, stage:Stage IIIB, alive, 792 days 145.1
TCGA-DM-A28F-01A 73 years, male, white, stage:Stage IIIB, dead, 1094 days 142.8
TCGA-AD-6889-01A 76 years, male, asian, stage:Stage IIA, dead, 2532 days 142.8
TCGA-AZ-4616-01A 82 years, female, white, stage:Stage IV, dead, 156 days 141.1
TCGA-D5-6537-01A 64 years, male, white, stage:Stage IIIB, dead, 146 days 141.0
TCGA-DM-A1D9-01A 67 years, female, white, stage:Stage IIA, alive, 4270 days 140.1
TCGA-D5-6538-01A 79 years, female, white, stage:Stage IIIB, alive, 521 days 137.7
TCGA-CM-4743-01A 69 years, male, white, stage:Stage IIA, alive, 701 days 128.6
TCGA-AA-3685-01A 69 years, male, stage:Stage II, alive, 1127 days 127.8
TCGA-A6-6648-01A 56 years, male, white, stage:Stage IVA, alive, 766 days 126.3
TCGA-DM-A0X9-01A 71 years, female, white, stage:Stage IIA, alive, 3641 days 124.2
TCGA-SS-A7HO-01A 44 years, female, black or african american, stage:Stage IIB, alive, 1829 days 121.9
TCGA-CM-5861-01A 63 years, female, white, stage:Stage IIA, alive, 457 days 120.0
TCGA-F4-6808-01A 54 years, female, white, stage:Stage I, alive, 1024 days 117.1
TCGA-5M-AAT4-01A 74 years, male, black or african american, stage:Stage IV, dead, 49 days 114.3
TCGA-DM-A28C-01A 74 years, male, white, stage:Stage IIA, dead, 2475 days 111.8
TCGA-AZ-6606-01A 81 years, male, white, stage:Stage IV, dead, 357 days 106.0
TCGA-A6-5666-01A 78 years, male, white, stage:Stage IIC, alive, 995 days 103.3
TCGA-QG-A5YV-01A 64 years, female, black or african american, stage:Stage IIIC, alive, 1301 days 101.3
TCGA-DM-A1D7-01A 82 years, male, white, stage:Stage IIA, dead, 405 days 99.8
TCGA-G4-6294-01A 75 years, male, white, stage:Stage IV, dead, 858 days 97.5
TCGA-DM-A288-01A 68 years, male, white, stage:Stage IIIC, dead, 427 days 96.2
TCGA-DM-A1D8-01A 50 years, female, white, stage:'--, dead, 383 days 95.1
TCGA-DM-A28H-01A 50 years, male, white, stage:Stage IIIC, alive, 3561 days 91.5
TCGA-AA-3663-01A 42 years, male, stage:Stage II, alive, 212 days 90.9
TCGA-CA-5255-01A 45 years, male, asian, stage:Stage IIA, alive, 376 days 87.5
TCGA-CM-5864-01A 60 years, male, white, stage:Stage I, alive, 457 days 86.6
TCGA-AA-A02K-01A 50 years, male, stage:Stage IV, dead, 426 days 85.4
TCGA-DM-A1DA-01A 71 years, female, white, stage:Stage IIIC, dead, 228 days 85.3
TCGA-NH-A8F7-01A 53 years, female, black or african american, stage:Stage IIA, alive, 543 days 84.6
TCGA-G4-6315-01A 66 years, male, white, stage:Stage IV, alive, 1883 days 74.4
TCGA-DM-A28K-01A 75 years, male, white, stage:Stage IIA, alive, 2988 days 71.8
TCGA-QL-A97D-01A 84 years, female, black or african american, stage:Stage I, alive, 666 days 70.5
TCGA-DM-A28G-01A 75 years, male, white, stage:Stage IIA, dead, 1849 days 69.0
TCGA-QG-A5Z2-01A 61 years, male, black or african american, stage:Stage I, alive, 952 days 67.1
TCGA-QG-A5YX-01A 61 years, female, black or african american, stage:Stage IIA, alive, 1003 days 66.8
TCGA-A6-5665-01A 84 years, female, white, stage:Stage IIA, alive, 671 days 64.2
TCGA-AY-5543-01A 65 years, female, black or african american, stage:Stage IVA, alive, 1004 days 63.2
TCGA-G4-6320-01A 73 years, male, white, stage:Stage III, alive, 804 days 61.4
TCGA-G4-6586-01A 73 years, female, white, stage:Stage IIA, alive, 1089 days 58.6
TCGA-DM-A1D6-01A 88 years, male, white, stage:Stage IIA, dead, 570 days 57.1
TCGA-G4-6317-01A 51 years, female, white, stage:Stage IIIC, alive, 1095 days 56.8
TCGA-G4-6307-01A 37 years, female, white, stage:Stage IIIB, alive, 1674 days 49.8
TCGA-G4-6304-01A 66 years, female, white, stage:Stage IIB, alive, 1631 days 48.8
TCGA-DM-A28M-01A 63 years, male, white, stage:Stage IIA, alive, 2895 days 46.3
TCGA-4T-AA8H-01A 42 years, female, black or african american, stage:Stage IIA, alive, 385 days 44.2
TCGA-AZ-5407-01A 51 years, female, white, stage:Stage I, alive, 2683 days 41.7
TCGA-4N-A93T-01A 67 years, male, black or african american, stage:Stage IIIB, alive, 146 days 38.3
TCGA-G4-6321-01A 60 years, female, white, stage:Stage III, alive, 672 days 36.6
TCGA-AY-A54L-01A 74 years, female, black or african american, stage:Stage I, alive, 525 days 35.9
TCGA-G4-6323-01A 50 years, male, black or african american, stage:Stage IA, alive, 419 days 35.8
TCGA-DM-A28E-01A 72 years, female, white, stage:Stage IIA, alive, 3648 days 35.6
TCGA-DM-A1D0-01A 79 years, female, white, stage:Stage IIA, alive, 3974 days 33.0
TCGA-DM-A1DB-01A 68 years, male, white, stage:Stage IIA, dead, 1348 days 31.1
TCGA-G4-6306-01A 71 years, male, white, stage:'--, alive, 1359 days 31.0
TCGA-CM-4744-01A 69 years, male, white, stage:Stage I, alive, 609 days 30.6
TCGA-AD-6888-01A 73 years, male, white, stage:Stage IIIB, dead, 472 days 30.3
TCGA-DM-A1HA-01A 82 years, male, white, stage:Stage IIIC, alive, 2600 days 21.8
TCGA-AY-A71X-01A 54 years, female, black or african american, stage:Stage I, alive, 588 days 21.2
TCGA-DM-A1D4-01A 80 years, male, white, stage:Stage IIA, dead, 2821 days 20.5
TCGA-AZ-6608-01A 55 years, female, white, stage:Stage IIIA, dead, 59 days 19.3
TCGA-AZ-6599-01A 72 years, male, white, stage:Stage I, dead, 206 days 12.3
TCGA-RU-A8FL-01A 51 years, male, black or african american, stage:Stage IIIB, alive, 1177 days 11.0
TCGA-AA-A02Y-01A 73 years, male, stage:Stage I, alive, 1216 days 10.3
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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.

COL3A1 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.

: 1076.62
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 1173.1
Number of samples 486
Samples
Sample Description pTPM
U0421 60 years, male, NA, stage:T3N1M0, alive, 674 days 8304.5
U0463 49 years, male, NA, stage:T3N0M0, alive, 946 days 6068.0
U0214 72 years, male, NA, stage:T4N1M1, alive, 788 days 5893.6
U0209 74 years, male, NA, stage:T3N1M0, alive, 2109 days 5219.4
U1045 80 years, female, NA, stage:T4N2M0, alive, 1239 days 5198.6
U1338 67 years, female, NA, stage:T4N1M0, dead, 716 days 4968.1
U0267 73 years, male, NA, stage:T4N0M0, dead, 445 days 4650.4
U3038 82 years, male, NA, stage:T3N0M0, alive, 328 days 4115.6
U1094 79 years, female, NA, stage:T4N1M0, alive, 1267 days 4053.3
U0987 82 years, female, NA, stage:T3N0M0, alive, 2482 days 3933.3
U0145 81 years, male, NA, stage:T3N1M1, alive, 623 days 3719.8
U2964 84 years, male, NA, stage:T3N1M0, alive, 637 days 3709.4
U0256 74 years, male, NA, stage:T3N0M0, alive, 738 days 3590.8
U0955 83 years, female, NA, stage:T3N0M0, alive, 2170 days 3513.2
U3043 68 years, female, NA, stage:T3N2M0, alive, 287 days 3471.2
U0131 81 years, female, NA, stage:T4N2M1, alive, 238 days 3448.9
U2896 81 years, female, NA, stage:T3N1M0, alive, 609 days 3409.7
U0146 79 years, female, NA, stage:T3N2M0, dead, 733 days 3328.5
U0069 94 years, female, NA, stage:T4N2M0, dead, 135 days 3324.0
U1065 75 years, female, NA, stage:T3N2M0, alive, 2954 days 3252.6
U1321 65 years, male, NA, stage:T3N1M0, alive, 2578 days 3227.5
U0303 67 years, female, NA, stage:T3N0M0, alive, 2847 days 3162.7
U0223 71 years, male, NA, stage:T4N1M0, alive, 1812 days 3152.8
U1436 56 years, female, NA, stage:T3N0M0, alive, 1745 days 3113.7
U1060 78 years, male, NA, stage:T3N0M0, alive, 2442 days 3108.5
U0977 84 years, female, NA, stage:T4N2M0, dead, 140 days 3002.2
U0196 75 years, male, NA, stage:T3N0M0, alive, 2086 days 2999.0
U3030 77 years, female, NA, stage:T3N0M0, alive, 380 days 2954.5
U0161 78 years, male, NA, stage:T4N2M1, alive, 42 days 2889.1
U3122 85 years, female, NA, stage:T3N0M1, dead, 91 days 2871.2
U0144 84 years, male, NA, stage:T3N0M0, alive, 1218 days 2803.8
U2782 79 years, male, NA, stage:T3N1M1, alive, 773 days 2758.5
U0106 82 years, female, NA, stage:T3N1M0, dead, 653 days 2752.7
U1075 78 years, female, NA, stage:T3N0M0, alive, 1290 days 2720.0
U1007 82 years, male, NA, stage:T3N0M0, alive, 1333 days 2644.2
U0420 56 years, male, NA, stage:T4N1M1, alive, 417 days 2643.5
U0259 68 years, female, NA, stage:T4N2M0, alive, 76 days 2629.1
U1013 82 years, female, NA, stage:T2N1M0, alive, 1439 days 2576.6
U0115 84 years, female, NA, stage:T3N0M0, dead, 1738 days 2551.8
U0358 64 years, female, NA, stage:T4N1M0, alive, 2290 days 2543.3
U3025 68 years, male, NA, stage:T4N2M1, alive, 377 days 2542.3
U3037 63 years, male, NA, stage:T3N1M0, alive, 405 days 2526.6
U0939 82 years, male, NA, stage:T3N1M0, alive, 2960 days 2495.2
U0439 56 years, male, NA, stage:T3N1M0, alive, 1418 days 2492.1
U0908 89 years, female, NA, stage:T3N0M1, dead, 40 days 2484.1
U1078 80 years, female, NA, stage:T3N0M0, alive, 1016 days 2467.9
U0340 69 years, female, NA, stage:T4N2M1, dead, 438 days 2453.7
U2882 65 years, female, NA, stage:T3N1M0, alive, 637 days 2418.3
U2999 79 years, female, NA, stage:T2N0M0, alive, 581 days 2397.6
U0113 88 years, male, NA, stage:T4N2M0, alive, 1102 days 2329.2
U0370 67 years, female, NA, stage:T3N0M0, alive, 1047 days 2292.5
U0307 65 years, male, NA, stage:T3N0M0, alive, 2921 days 2279.8
U1239 69 years, male, NA, stage:T2N0M0, dead, 1998 days 2224.2
U1213 73 years, female, NA, stage:T2N0M0, alive, 560 days 2182.2
U0453 46 years, male, NA, stage:T3N0M0, alive, 2859 days 2166.4
U1034 80 years, male, NA, stage:T4N0M0, alive, 1575 days 2152.0
U1253 68 years, female, NA, stage:T3N0M0, dead, 165 days 2126.8
U3050 61 years, female, NA, stage:T3N0M0, alive, 407 days 2123.1
U0111 88 years, male, NA, stage:T2N0M0, alive, 1117 days 2106.8
U2947 77 years, female, NA, stage:T3N0M0, alive, 543 days 2104.0
U0348 69 years, female, NA, stage:T3N0M0, alive, 533 days 2098.5
U0122 85 years, female, NA, stage:T2N0M0, dead, 159 days 2085.7
U0456 46 years, male, NA, stage:T4N0M0, dead, 2222 days 2081.9
U1332 65 years, male, NA, stage:T3N0M0, alive, 1672 days 2051.8
U2981 74 years, male, NA, stage:T3N0M0, alive, 508 days 2047.0
U1228 71 years, male, NA, stage:T3N0M0, alive, 1333 days 2042.3
U0084 86 years, male, NA, stage:T3N0M0, dead, 1662 days 2021.2
U0363 61 years, male, NA, stage:T3N1M0, alive, 3601 days 2017.3
U2935 70 years, male, NA, stage:T4N1M0, alive, 555 days 2013.3
U1292 69 years, female, NA, stage:T4N1M0, alive, 1147 days 1983.5
U1145 74 years, female, NA, stage:T3N0M0, dead, 445 days 1962.5
U1147 73 years, male, NA, stage:T3N0M0, dead, 282 days 1927.4
U0378 66 years, female, NA, stage:T4N1M0, dead, 815 days 1915.0
U0438 53 years, female, NA, stage:T3N0M0, alive, 2009 days 1895.4
U3051 48 years, male, NA, stage:T3N2M0, alive, 415 days 1882.3
U0218 77 years, female, NA, stage:T3N0M0, alive, 714 days 1872.7
U0153 80 years, female, NA, stage:T3N0M0, dead, 1718 days 1869.9
U0297 67 years, female, NA, stage:T3N2M0, alive, 1196 days 1865.6
U1240 70 years, male, NA, stage:T4N0M0, alive, 765 days 1864.5
U1386 62 years, male, NA, stage:T3N1M0, alive, 1518 days 1855.4
U0898 90 years, female, NA, stage:T4aN0M0, dead, 340 days 1837.4
U1129 74 years, male, NA, stage:T3N0M0, dead, 118 days 1801.8
U3029 84 years, male, NA, stage:T2N0M0, alive, 475 days 1798.5
U0151 80 years, female, NA, stage:T3N0M0, alive, 2014 days 1787.9
U1188 72 years, female, NA, stage:T3N0M0, dead, 967 days 1775.1
U1069 77 years, female, NA, stage:T3N0M0, dead, 2187 days 1763.6
U1448 53 years, male, NA, stage:T3N0M1, dead, 1512 days 1760.3
U0162 82 years, female, NA, stage:T3N0M0, alive, 1488 days 1749.7
U1044 76 years, male, NA, stage:T4N0M0, alive, 3146 days 1738.4
U0199 78 years, female, NA, stage:T4N2M0, alive, 1372 days 1729.3
U0070 89 years, male, NA, stage:T1N0M0, dead, 1319 days 1715.3
U3034 64 years, female, NA, stage:T3N1M0, alive, 443 days 1709.2
U0176 76 years, male, NA, stage:T3N1M0, alive, 2600 days 1697.4
U0448 46 years, male, NA, stage:T3N2M0, alive, 3615 days 1694.0
U2753 81 years, female, NA, stage:T2N0M0, alive, 813 days 1688.1
U0357 64 years, female, NA, stage:T3N0M0, alive, 2285 days 1673.5
U0221 77 years, male, NA, stage:T3N0M0, alive, 569 days 1664.4
U2891 81 years, male, NA, stage:T3N1M0, alive, 619 days 1660.7
U0399 63 years, female, NA, stage:T4N2M0, dead, 547 days 1653.5
U0345 65 years, female, NA, stage:T3N0M0, alive, 2127 days 1651.1
U0231 77 years, female, NA, stage:T2N0M0, alive, 991 days 1645.2
U1111 76 years, female, NA, stage:T3N0M0, dead, 1631 days 1634.6
U0269 69 years, female, NA, stage:T3N0M0, alive, 2530 days 1630.7
U0149 82 years, female, NA, stage:T3N2M0, alive, 1715 days 1609.3
U0389 64 years, female, NA, stage:T3N1M0, dead, 927 days 1608.2
U0383 60 years, male, NA, stage:T3N2M1, dead, 595 days 1606.7
U0335 65 years, female, NA, stage:T3N1M0, alive, 2464 days 1591.7
U0474 30 years, male, NA, stage:T3N1M0, alive, 1017 days 1587.9
U0472 32 years, male, NA, stage:TXN2M0, alive, 542 days 1587.7
U0068 92 years, female, NA, stage:T3N1M0, alive, 1991 days 1587.0
U0938 86 years, female, NA, stage:T3N0M0, dead, 1231 days 1581.3
U0460 43 years, female, NA, stage:T3N0M0, dead, 2069 days 1577.7
U1184 70 years, male, NA, stage:T4N1M0, alive, 290 days 1574.0
U0313 70 years, male, NA, stage:T4N1M0, dead, 1142 days 1571.2
U0143 80 years, male, NA, stage:T3N2M0, alive, 2313 days 1568.5
U2792 68 years, male, NA, stage:T2N1M0, alive, 758 days 1568.4
U1122 75 years, female, NA, stage:T3N2M0, alive, 1675 days 1564.3
U1446 53 years, female, NA, stage:T3N0M0, alive, 2314 days 1558.8
U1241 70 years, male, NA, stage:T3N1M0, dead, 49 days 1554.4
U0091 90 years, male, NA, stage:T3N0M0, alive, 520 days 1542.5
U0182 79 years, female, NA, stage:T4N1M0, dead, 260 days 1535.7
U0119 81 years, female, NA, stage:T3N0M0, alive, 3259 days 1513.2
U3039 74 years, male, NA, stage:T4N1M1, dead, 366 days 1505.0
U0882 93 years, male, NA, stage:T3N0M0, alive, 1675 days 1500.1
U1047 75 years, female, NA, stage:T4N2M0, alive, 3592 days 1496.3
U0215 77 years, male, NA, stage:T3N0M0, alive, 1269 days 1489.5
U0066 93 years, male, NA, stage:T3N0M0, dead, 2486 days 1489.0
U0338 68 years, female, NA, stage:T3N0M0, alive, 1016 days 1486.6
U1162 73 years, male, NA, stage:T2N1M0, dead, 354 days 1483.8
U0170 77 years, male, NA, stage:T4N1M0, dead, 832 days 1474.9
U0355 67 years, male, NA, stage:T4N1M0, dead, 1038 days 1462.4
U2774 66 years, female, NA, stage:T3N0M0, alive, 783 days 1460.9
U0183 74 years, male, NA, stage:T3N1M1, dead, 2957 days 1460.5
U0459 49 years, female, NA, stage:T3N0M0, alive, 966 days 1444.6
U0187 77 years, male, NA, stage:T3N2M0, alive, 1632 days 1440.3
U0136 79 years, female, NA, stage:T3N0M0, dead, 2795 days 1427.4
U0245 71 years, female, NA, stage:T3N1M0, dead, 564 days 1417.8
U0081 87 years, male, NA, stage:T3N2M0, dead, 248 days 1416.4
U0158 76 years, male, NA, stage:T1N0M0, dead, 3101 days 1403.2
U0473 33 years, male, NA, stage:T3N1M0, alive, 786 days 1398.4
U0316 68 years, male, NA, stage:T3N2M0, alive, 2012 days 1396.6
U0102 87 years, female, NA, stage:T4N2M0, dead, 670 days 1392.7
U0129 82 years, male, NA, stage:T4N0M0, dead, 1265 days 1382.7
U0072 88 years, male, NA, stage:T3N0M0, alive, 2772 days 1362.4
U2971 62 years, male, NA, stage:T4aN0M0, alive, 629 days 1361.2
U0268 67 years, male, NA, stage:T3N0M0, alive, 2978 days 1360.8
U0443 54 years, male, NA, stage:T3N0M0, alive, 1677 days 1358.4
U0257 69 years, male, NA, stage:T3N1M0, dead, 2508 days 1357.9
U0455 47 years, female, NA, stage:T3N2M0, alive, 2445 days 1352.5
U0156 82 years, female, NA, stage:T4N1M0, alive, 1573 days 1344.6
U0254 75 years, female, NA, stage:T3N1M0, alive, 659 days 1340.1
U0154 83 years, male, NA, stage:T3N0M0, alive, 820 days 1338.3
U2927 51 years, male, NA, stage:T3N1M0, alive, 564 days 1337.0
U0260 69 years, male, NA, stage:T1N0M1, alive, 2928 days 1324.4
U0186 73 years, female, NA, stage:T2N0M0, alive, 3726 days 1321.7
U0217 76 years, female, NA, stage:T3N0M0, dead, 538 days 1313.9
U1392 61 years, male, NA, stage:T3N0M0, alive, 1513 days 1308.9
U1301 66 years, female, NA, stage:T4N2M0, dead, 877 days 1307.1
U0163 81 years, male, NA, stage:T4N0M0, alive, 697 days 1306.6
U0350 68 years, female, NA, stage:T4N0M0, alive, 770 days 1303.0
U1062 78 years, female, NA, stage:T4N0M0, alive, 1689 days 1302.9
U0222 72 years, female, NA, stage:T3N2M1, alive, 1779 days 1302.8
U0207 73 years, female, NA, stage:T3N0M0, dead, 2593 days 1299.9
U0590 75 years, female, NA, stage:T3N0M0, alive, 661 days 1297.6
U0181 74 years, female, NA, stage:T1N0M0, alive, 3623 days 1296.3
U0289 66 years, female, NA, stage:T3N0M0, alive, 3511 days 1294.3
U1220 70 years, male, NA, stage:T3N2M0, dead, 1953 days 1294.1
U0123 83 years, male, NA, stage:T3N0M0, dead, 1880 days 1290.8
U0915 88 years, female, NA, stage:T3N0M0, alive, 1613 days 1281.0
U0202 73 years, male, NA, stage:T3N0M0, dead, 2670 days 1278.2
U0236 72 years, male, NA, stage:T3N1M0, alive, 1842 days 1274.8
U3012 66 years, male, NA, stage:T3N0M0, alive, 472 days 1274.0
U0172 78 years, male, NA, stage:T4N0M0, dead, 678 days 1271.8
U1276 66 years, male, NA, stage:T3N0M0, alive, 2474 days 1248.4
U1204 71 years, male, NA, stage:T4N2M0, alive, 2214 days 1239.5
U0004 61 years, female, NA, stage:T4N0M0, alive, 3649 days 1236.8
U0295 67 years, male, NA, stage:T3N0M0, dead, 2572 days 1234.7
U0112 86 years, female, NA, stage:T3N0M1, alive, 551 days 1211.2
U0464 49 years, male, NA, stage:T3N0M0, alive, 918 days 1207.4
U0002 82 years, female, NA, stage:T3N2M0, alive, 3691 days 1204.9
U0950 86 years, female, NA, stage:T4N1M0, alive, 1834 days 1200.6
U0252 70 years, male, NA, stage:T3N1M0, dead, 1761 days 1193.6
U0168 81 years, male, NA, stage:T3N0M0, dead, 948 days 1187.4
U1374 66 years, male, NA, stage:T4N0M0, alive, 827 days 1171.8
U0390 64 years, male, NA, stage:T3N1M0, alive, 871 days 1170.6
U0249 75 years, female, NA, stage:T4N2M0, dead, 874 days 1158.1
U0403 60 years, male, NA, stage:T3N1M1, dead, 1809 days 1142.1
U0233 71 years, female, NA, stage:T3N1M0, alive, 975 days 1138.3
U0110 87 years, female, NA, stage:T3N1M1, dead, 878 days 1135.4
U0099 85 years, female, NA, stage:T3N0M0, dead, 986 days 1134.9
U1150 75 years, female, NA, stage:T3N0M0, alive, 15 days 1133.6
U2889 77 years, male, NA, stage:T4N0M0, alive, 623 days 1131.4
U0312 65 years, female, NA, stage:T4N2M1, alive, 499 days 1128.8
U1212 74 years, female, NA, stage:T2N0M0, alive, 69 days 1126.2
U0235 75 years, female, NA, stage:T3N0M0, alive, 1327 days 1121.2
U0075 88 years, male, NA, stage:T3N0M0, dead, 3 days 1118.6
U1141 71 years, female, NA, stage:T4N1M1, dead, 596 days 1117.9
U1074 77 years, male, NA, stage:T3N0M0, dead, 1043 days 1109.3
U0281 72 years, male, NA, stage:T3N2M0, alive, 933 days 1104.2
U0204 78 years, male, NA, stage:T3N0M0, dead, 770 days 1097.4
U0105 82 years, female, NA, stage:T2N0M0, dead, 2158 days 1091.8
U0424 56 years, male, NA, stage:T3N0M0, alive, 2192 days 1091.5
U0101 84 years, male, NA, stage:T3N1M1, alive, 1878 days 1085.8
U0246 74 years, female, NA, stage:T4N0M0, dead, 1192 days 1082.7
U1352 61 years, male, NA, stage:T3N2M1, dead, 741 days 1076.6
U0411 59 years, female, NA, stage:T3N1M0, alive, 1868 days 1074.4
U0321 70 years, female, NA, stage:T3N0M0, alive, 1029 days 1067.1
U0449 50 years, female, NA, stage:T3N0M0, alive, 1851 days 1066.5
U1183 73 years, male, NA, stage:T4N2M0, alive, 959 days 1061.7
U3018 67 years, male, NA, stage:T4N1M0, alive, 463 days 1060.7
U0433 58 years, male, NA, stage:T4N1M1, dead, 440 days 1056.9
U0247 70 years, female, NA, stage:T3N1M0, alive, 2538 days 1056.9
U1346 66 years, female, NA, stage:T3N0M0, alive, 1137 days 1050.0
U0117 83 years, female, NA, stage:T2N0M0, dead, 1078 days 1047.3
U0446 53 years, male, NA, stage:T2N0M0, alive, 1446 days 1030.8
U0451 47 years, female, NA, stage:T4N2M0, alive, 3023 days 1030.5
U0589 56 years, female, NA, stage:T3N0M0, alive, 1176 days 1029.9
U0285 69 years, female, NA, stage:T3N0M0, alive, 2165 days 1022.2
U0253 74 years, female, NA, stage:T3N0M0, alive, 958 days 1021.9
U0171 78 years, female, NA, stage:T3N1M0, dead, 1920 days 1015.8
U1251 69 years, male, NA, stage:T4N2M0, alive, 126 days 1015.1
U0445 51 years, female, NA, stage:T3N0M0, alive, 1851 days 1013.1
U1454 54 years, female, NA, stage:T3N0M0, alive, 393 days 1008.9
U0092 84 years, male, NA, stage:T3N0M0, alive, 2779 days 1001.5
U0450 52 years, female, NA, stage:T3N1M0, alive, 763 days 999.8
U1429 58 years, female, NA, stage:T3N0M0, alive, 1660 days 994.0
U1396 62 years, female, NA, stage:T4N0M0, alive, 1168 days 990.9
U0198 77 years, male, NA, stage:T3N1M0, alive, 1272 days 987.5
U1344 65 years, female, NA, stage:T3N1M0, alive, 1450 days 986.8
U1032 80 years, male, NA, stage:T3N1M0, alive, 2113 days 986.6
U0287 69 years, female, NA, stage:T2N0M0, alive, 1897 days 983.7
U0394 65 years, male, NA, stage:T2N1M0, alive, 969 days 982.6
U0189 74 years, female, NA, stage:T3N0M0, dead, 1823 days 975.2
U1103 76 years, female, NA, stage:T4N2M0, alive, 975 days 970.4
U0976 82 years, female, NA, stage:T3N2M0, dead, 97 days 961.3
U1421 59 years, female, NA, stage:T3N1M0, alive, 1905 days 956.1
U0447 51 years, male, NA, stage:T4N1M0, dead, 1819 days 951.5
U0444 52 years, female, NA, stage:T4N1M0, alive, 1841 days 949.1
U1022 81 years, male, NA, stage:T4N2M0, dead, 61 days 948.0
U2837 76 years, female, NA, stage:T4N1M0, alive, 681 days 947.5
U1102 77 years, male, NA, stage:T2N0M0, alive, 1354 days 942.5
U0133 85 years, female, NA, stage:T3N0M0, alive, 773 days 934.9
U0306 71 years, male, NA, stage:T3N1M0, dead, 717 days 934.6
U3005 74 years, male, NA, stage:T3N0M0, alive, 478 days 931.4
U0386 60 years, female, NA, stage:T4N1M1, alive, 2592 days 927.3
U1049 82 years, female, NA, stage:T3N1M0, alive, 1200 days 927.0
U3100 89 years, male, NA, stage:T3N1M0, dead, 1608 days 926.1
U1257 71 years, male, NA, stage:T3N0M0, alive, 833 days 924.8
U0467 38 years, female, NA, stage:T3N0M0, alive, 1848 days 922.8
U1127 71 years, female, NA, stage:T3N0M0, alive, 3465 days 915.4
U1067 79 years, male, NA, stage:T3N0M0, alive, 1570 days 914.9
U1037 80 years, male, NA, stage:T4N0M0, alive, 1658 days 913.4
U0382 61 years, female, NA, stage:T3N0M0, alive, 2550 days 896.5
U1401 60 years, female, NA, stage:T3N0M0, alive, 1482 days 896.1
U0949 84 years, female, NA, stage:T3N0M1, dead, 594 days 894.6
U1071 78 years, female, NA, stage:T4N0M1, alive, 1514 days 887.6
U0333 66 years, female, NA, stage:T3N2M0, dead, 1959 days 885.5
U0937 86 years, male, NA, stage:T2N0M0, dead, 1558 days 881.1
U0275 69 years, female, NA, stage:T3N2M0, alive, 549 days 880.7
U3048 57 years, male, NA, stage:T4N2M0, alive, 535 days 878.8
U0440 51 years, female, NA, stage:T4N0M0, dead, 2743 days 873.5
U1252 70 years, female, NA, stage:T4N2M0, alive, 1309 days 871.8
U0428 60 years, male, NA, stage:T4N1M1, alive, 1016 days 866.5
U0141 81 years, male, NA, stage:T3N2M0, alive, 2079 days 865.2
U0933 85 years, male, NA, stage:T3N2M0, dead, 1960 days 857.3
U0178 76 years, female, NA, stage:T3N1M0, dead, 2096 days 855.8
U0429 58 years, female, NA, stage:T3N0M1, alive, 1099 days 854.2
U3008 82 years, female, NA, stage:T2N0M0, alive, 473 days 853.6
U0308 72 years, male, NA, stage:T4N1M0, alive, 1075 days 847.4
U2842 60 years, female, NA, stage:T4N2M0, alive, 675 days 842.8
U1369 63 years, male, NA, stage:T3N0M0, dead, 1604 days 832.4
U0396 59 years, male, NA, stage:T4N2M0, alive, 2243 days 825.6
U0126 79 years, male, NA, stage:T3N0M0, dead, 2876 days 825.5
U1095 76 years, female, NA, stage:T3N1M1, alive, 2425 days 824.6
U1473 46 years, female, NA, stage:T3N0M0, alive, 1553 days 824.1
U0167 79 years, male, NA, stage:T3N1M0, alive, 1820 days 819.8
U0315 65 years, female, NA, stage:T2N0M0, alive, 1973 days 817.4
U1018 81 years, male, NA, stage:T4N1M1, dead, 1693 days 815.5
U2902 86 years, female, NA, stage:T2N0M0, alive, 596 days 814.7
U0195 73 years, male, NA, stage:T3N0M0, alive, 3326 days 800.2
U0360 67 years, female, NA, stage:T3N0M0, dead, 1016 days 798.8
U0148 80 years, male, NA, stage:T3N0M0, alive, 1780 days 798.6
U0401 60 years, male, NA, stage:T4N1M0, alive, 1715 days 793.5
U3032 61 years, female, NA, stage:T3N1M0, alive, 449 days 792.2
U2928 52 years, male, NA, stage:T2N0M0, alive, 563 days 786.1
U1099 77 years, female, NA, stage:T3N0M0, alive, 2068 days 785.8
U1107 80 years, male, NA, stage:T3N0M0, alive, 329 days 784.0
U3042 62 years, male, NA, stage:T3N0M0, alive, 324 days 782.8
U0392 64 years, male, NA, stage:T3N2M0, alive, 489 days 781.7
U2942 74 years, male, NA, stage:T2N0M0, alive, 549 days 768.4
U3024 76 years, female, NA, stage:T3N0M0, alive, 463 days 763.2
U0317 64 years, female, NA, stage:T3N2M0, alive, 3209 days 760.2
U0381 60 years, male, NA, stage:T3N1M0, dead, 71 days 758.9
U0375 66 years, male, NA, stage:T3N0M0, dead, 666 days 756.4
U0377 59 years, female, NA, stage:T3N2M0, alive, 3720 days 755.1
U0179 75 years, male, NA, stage:T3N1M0, dead, 1043 days 752.9
U0090 85 years, female, NA, stage:T3N0M0, dead, 1258 days 752.6
U2953 55 years, female, NA, stage:T4aN0M0, alive, 541 days 752.5
U0290 72 years, male, NA, stage:T4N2M0, dead, 593 days 742.5
U0277 72 years, male, NA, stage:T2N1M0, alive, 270 days 741.7
U0100 85 years, female, NA, stage:T3N0M0, dead, 1920 days 739.2
U1158 76 years, female, NA, stage:T3N1M0, alive, 721 days 738.3
U2815 82 years, female, NA, stage:T3N0M0, alive, 717 days 738.2
U1160 74 years, male, NA, stage:T3N1M0, alive, 1557 days 734.9
U0441 50 years, female, NA, stage:T2N1M0, alive, 2738 days 726.0
U0142 80 years, female, NA, stage:T4N1M0, alive, 2340 days 725.0
U0362 66 years, male, NA, stage:T3N0M0, alive, 1148 days 721.5
U2995 81 years, female, NA, stage:T3N1M0, alive, 491 days 714.3
U1366 63 years, male, NA, stage:T3N1M0, alive, 2010 days 714.3
U0280 68 years, male, NA, stage:T3N1M1, alive, 2731 days 713.0
U1201 72 years, male, NA, stage:T3N2M0, alive, 1484 days 708.4
U1114 76 years, female, NA, stage:TXNXM1, dead, 473 days 707.1
U2843 89 years, female, NA, stage:T3N0M0, alive, 674 days 689.5
U2861 78 years, male, NA, stage:T3N0M0, alive, 652 days 683.4
U0203 77 years, male, NA, stage:T3N0M0, dead, 827 days 680.0
U1303 66 years, male, NA, stage:T4N1M0, alive, 2283 days 676.5
U0436 59 years, male, NA, stage:T4N1M1, alive, 960 days 676.3
U0984 84 years, female, NA, stage:T4N0M0, alive, 1287 days 674.8
U1349 63 years, female, NA, stage:T3N1M0, alive, 1899 days 674.0
U1086 73 years, female, NA, stage:T1N0M0, alive, 2907 days 673.2
U0352 62 years, female, NA, stage:T4N2M0, dead, 385 days 667.8
U0970 86 years, female, NA, stage:T4N1M0, alive, 939 days 662.2
U0234 75 years, male, NA, stage:T1N1M0, alive, 990 days 661.1
U0262 69 years, female, NA, stage:T2N0M0, alive, 2534 days 652.6
U1267 65 years, male, NA, stage:T3N1M0, dead, 2869 days 637.6
U0292 71 years, male, NA, stage:T4N1M0, alive, 1666 days 637.3
U0095 86 years, male, NA, stage:T4N1M0, dead, 1034 days 636.6
U0087 87 years, female, NA, stage:T3N2M0, dead, 337 days 636.4
U0398 63 years, female, NA, stage:T3N0M0, alive, 721 days 635.9
U0266 70 years, female, NA, stage:T3N1M0, dead, 2221 days 633.1
U0993 83 years, male, NA, stage:T4N2M0, alive, 1267 days 630.8
U0414 60 years, male, NA, stage:T3N0M0, alive, 1691 days 630.1
U0240 75 years, female, NA, stage:T3N1M0, dead, 800 days 626.4
U0376 66 years, male, NA, stage:T2N1M0, alive, 965 days 620.8
U1250 70 years, male, NA, stage:T2N0M0, alive, 597 days 620.1
U0368 67 years, male, NA, stage:T2N0M0, alive, 801 days 616.6
U1327 66 years, female, NA, stage:T3N0M0, alive, 1613 days 614.4
U0239 76 years, male, NA, stage:T2N0M0, alive, 67 days 612.3
U0354 69 years, male, NA, stage:T3N1M0, alive, 430 days 599.0
U0135 82 years, female, NA, stage:T3N0M0, alive, 1738 days 591.8
U0327 70 years, male, NA, stage:T4N0M0, alive, 833 days 591.5
U0435 52 years, female, NA, stage:T2N0M0, alive, 3616 days 591.2
U0332 66 years, female, NA, stage:T3N0M0, alive, 2101 days 590.6
U1486 39 years, female, NA, stage:T4N0M0, alive, 1606 days 589.1
U0200 73 years, female, NA, stage:T3N0M0, alive, 2614 days 578.6
U0397 62 years, male, NA, stage:T4N0M0, alive, 1663 days 578.4
U0244 69 years, female, NA, stage:T3N1M0, alive, 3184 days 574.7
U0274 70 years, male, NA, stage:T3N0M0, dead, 1570 days 570.7
U0175 77 years, male, NA, stage:T3N2M0, alive, 1875 days 554.7
U0373 64 years, female, NA, stage:T3N0M0, alive, 1822 days 554.1
U0408 56 years, female, NA, stage:T4N0M0, dead, 2100 days 553.3
U2959 63 years, male, NA, stage:T3N2M0, alive, 536 days 553.0
U0210 75 years, male, NA, stage:T3N0M0, dead, 1800 days 549.2
U0165 81 years, female, NA, stage:T2N0M0, alive, 1702 days 549.2
U1274 69 years, male, NA, stage:T2N1M0, alive, 1198 days 547.0
U0318 71 years, male, NA, stage:T3N0M0, alive, 762 days 546.4
U0369 66 years, female, NA, stage:T3N0M0, dead, 1095 days 543.3
U0180 74 years, male, NA, stage:T3N0M1, dead, 965 days 543.0
U0426 59 years, male, NA, stage:T3N0M0, dead, 976 days 543.0
U0103 88 years, female, NA, stage:T3N1M0, alive, 1197 days 539.6
U0384 64 years, male, NA, stage:T2N1M1, alive, 1024 days 532.8
U3000 69 years, female, NA, stage:T3N0M0, alive, 584 days 532.5
U1120 76 years, male, NA, stage:T4N1M1, alive, 823 days 529.4
U0309 68 years, female, NA, stage:T3N0M0, dead, 1898 days 528.9
U0379 63 years, male, NA, stage:T2N0M0, alive, 1819 days 528.7
U0121 86 years, male, NA, stage:T4N2M0, alive, 655 days 525.5
U0085 88 years, male, NA, stage:T4N1M0, dead, 1698 days 517.6
U0999 84 years, male, NA, stage:T3N2M0, alive, 860 days 515.5
U0191 80 years, male, NA, stage:T3N1M0, alive, 900 days 514.1
U0127 80 years, female, NA, stage:T3N0M0, dead, 2753 days 512.7
U1017 82 years, male, NA, stage:T3N0M0, alive, 615 days 510.5
U0314 67 years, female, NA, stage:T1N0M0, dead, 2436 days 506.7
U2975 85 years, male, NA, stage:T4N1M0, alive, 514 days 505.7
U0273 68 years, male, NA, stage:T2N1M0, alive, 2641 days 505.6
U1384 62 years, male, NA, stage:T4N1M0, alive, 1319 days 499.7
U0344 69 years, male, NA, stage:T2N1M0, dead, 818 days 497.9
U0063 95 years, male, NA, stage:T1N0M0, dead, 1779 days 497.3
U0083 88 years, male, NA, stage:T4N0M0, dead, 731 days 490.7
U0073 87 years, male, NA, stage:T4N0MX, dead, 318 days 488.3
U2780 75 years, male, NA, stage:T3N0M0, alive, 778 days 485.9
U0082 85 years, female, NA, stage:T3N1M0, dead, 2339 days 485.6
U1041 81 years, male, NA, stage:T2N0M0, alive, 1108 days 485.5
U0991 83 years, male, NA, stage:T4N2M0, dead, 534 days 484.7
U0416 61 years, male, NA, stage:T1N1M0, alive, 1228 days 475.6
U2754 81 years, male, NA, stage:T4N0M0, alive, 809 days 470.1
U0365 68 years, female, NA, stage:T4N1M0, dead, 313 days 467.1
U0098 84 years, male, NA, stage:T3N0M0, dead, 2473 days 465.9
U0427 59 years, male, NA, stage:T2N0M0, alive, 1193 days 465.7
U1155 75 years, male, NA, stage:T4N1M0, alive, 1815 days 457.1
U0193 76 years, male, NA, stage:T3N1M0, dead, 876 days 434.5
U0270 70 years, female, NA, stage:T1N0M0, alive, 2187 days 433.5
U0469 42 years, male, NA, stage:T3N0M0, dead, 409 days 431.7
U1343 62 years, female, NA, stage:T4N2M0, alive, 3178 days 431.4
U2747 85 years, female, NA, stage:T4N1M0, dead, 54 days 430.3
U0465 43 years, male, NA, stage:T3N0M0, alive, 2383 days 427.5
U0263 69 years, female, NA, stage:T3N0M1, alive, 362 days 422.9
U0349 63 years, male, NA, stage:T3N1M0, alive, 2682 days 408.8
U0356 68 years, male, NA, stage:T4N1M0, alive, 536 days 395.7
U0104 87 years, female, NA, stage:T4N0M0, dead, 1639 days 390.4
U0225 77 years, male, NA, stage:T3N1M0, alive, 581 days 389.9
U2803 66 years, male, NA, stage:T3N1M0, alive, 744 days 387.2
U1246 70 years, female, NA, stage:T3N0M0, alive, 1441 days 381.7
U2848 67 years, female, NA, stage:T4N2M0, alive, 669 days 381.7
U0208 76 years, female, NA, stage:T3N1M0, dead, 1233 days 381.7
U0328 66 years, male, NA, stage:T4N0M0, dead, 1362 days 379.9
U0108 84 years, female, NA, stage:T3N0M1, alive, 535 days 377.9
U0916 88 years, female, NA, stage:T3N0M0, alive, 1578 days 377.3
U2956 86 years, female, NA, stage:T3N0M0, alive, 540 days 375.2
U0385 65 years, male, NA, stage:T3N0M0, alive, 902 days 367.3
U2856 71 years, female, NA, stage:T4N1M1, alive, 660 days 364.2
U0089 85 years, female, NA, stage:T1NXM0, dead, 2365 days 363.5
U1304 69 years, female, NA, stage:TXNXM0, alive, 1081 days 359.8
U0442 56 years, male, NA, stage:T3N0M0, alive, 619 days 358.8
U0387 65 years, male, NA, stage:T2N0M0, alive, 1327 days 358.4
U0361 63 years, male, NA, stage:T3N0M0, alive, 686 days 356.8
U0942 88 years, male, NA, stage:T3N0M0, alive, 665 days 346.0
U0413 61 years, male, NA, stage:T2N0M0, alive, 1228 days 345.0
U0967 84 years, male, NA, stage:T2N0M0, dead, 1691 days 338.5
U1059 77 years, male, NA, stage:T3N1M0, alive, 2790 days 335.7
U1291 68 years, female, NA, stage:T3N0M0, alive, 2000 days 335.3
U0177 81 years, female, NA, stage:T3N0M0, alive, 355 days 334.4
U1347 65 years, female, NA, stage:T3N0M0, alive, 1401 days 322.4
U0342 68 years, male, NA, stage:T4N2M0, alive, 305 days 321.9
U0067 92 years, female, NA, stage:T3N0M0, alive, 2180 days 312.8
U0109 82 years, female, NA, stage:T4N2M1, alive, 144 days 310.2
U2798 68 years, male, NA, stage:T3N0M0, alive, 751 days 303.5
U0078 91 years, female, NA, stage:T3N0M0, alive, 1183 days 299.6
U1031 80 years, male, NA, stage:T1N1M0, alive, 1625 days 294.7
U0094 89 years, female, NA, stage:T3N2M0, alive, 741 days 294.7
U1258 70 years, male, NA, stage:T3N1M0, alive, 1373 days 279.5
U1317 68 years, male, NA, stage:T4N1M0, alive, 965 days 279.1
U3022 77 years, male, NA, stage:T2N0M0, alive, 484 days 278.9
U0934 87 years, female, NA, stage:T3N0M0, alive, 1185 days 278.7
U2979 73 years, male, NA, stage:T3N2M0, alive, 616 days 275.2
U0367 61 years, female, NA, stage:T3N1M0, alive, 3075 days 270.9
U1483 43 years, female, NA, stage:T3N0M0, alive, 1094 days 269.1
U0157 83 years, male, NA, stage:T4N0M0, dead, 131 days 268.6
U0250 74 years, female, NA, stage:T4N0M0, dead, 906 days 267.8
U0404 57 years, female, NA, stage:T3N2M0, dead, 204 days 267.1
U0323 69 years, male, NA, stage:T2N0M0, dead, 1016 days 259.9
U0211 76 years, female, NA, stage:T3N1M0, alive, 1236 days 254.8
U0471 38 years, female, NA, stage:T3N1M0, alive, 1673 days 250.7
U0169 82 years, male, NA, stage:T4N2M0, alive, 616 days 249.3
U1264 69 years, female, NA, stage:T3N0M0, dead, 1583 days 246.3
U1040 83 years, male, NA, stage:T2N0M0, alive, 1029 days 246.1
U0320 66 years, female, NA, stage:T4N2M1, alive, 188 days 245.8
U1432 60 years, female, NA, stage:T3N1M0, alive, 577 days 245.0
U0229 70 years, female, NA, stage:TXN2M1, dead, 2115 days 241.4
U0166 82 years, female, NA, stage:T3N0M0, alive, 763 days 238.8
U1235 71 years, female, NA, stage:T2N0M0, alive, 1319 days 236.2
U0960 86 years, male, NA, stage:T3N0M0, alive, 1009 days 235.7
U0278 73 years, female, NA, stage:T2N0M0, alive, 763 days 234.7
U1073 79 years, female, NA, stage:T3N1M0, alive, 1359 days 227.4
U0336 68 years, female, NA, stage:T3N0M0, alive, 1100 days 214.4
U1447 57 years, male, NA, stage:T4N1M0, alive, 988 days 211.6
U1208 74 years, female, NA, stage:T1N0M0, alive, 834 days 206.7
U1130 78 years, male, NA, stage:T2N1M0, alive, 913 days 206.1
U0224 72 years, female, NA, stage:T3N0M0, alive, 2367 days 203.2
U0125 86 years, female, NA, stage:T1N0M0, dead, 668 days 200.1
U0227 72 years, female, NA, stage:T4N2M0, alive, 291 days 198.2
U1104 78 years, female, NA, stage:T4N0M0, alive, 1109 days 194.9
U0929 85 years, male, NA, stage:T4N1M0, alive, 436 days 186.6
U0107 82 years, male, NA, stage:T3N0M0, dead, 2354 days 186.6
U0319 65 years, male, NA, stage:T3N0M0, alive, 2801 days 186.5
U0462 45 years, female, NA, stage:T4N1M0, alive, 1017 days 185.8
U0288 72 years, male, NA, stage:T1N0M0, alive, 1513 days 185.5
U2948 74 years, female, NA, stage:T3N1M0, alive, 543 days 169.5
U0966 84 years, male, NA, stage:T4N0M0, dead, 1513 days 160.2
U0400 62 years, male, NA, stage:T4N0M0, dead, 1073 days 159.8
U1072 80 years, male, NA, stage:T1N0M0, alive, 1446 days 158.8
U0300 71 years, male, NA, stage:T2N0M0, alive, 974 days 155.8
U1474 45 years, female, NA, stage:T1N0MX, alive, 2012 days 154.4
U0248 72 years, male, NA, stage:T3N0M0, alive, 1870 days 153.2
U0185 80 years, male, NA, stage:T1N0M0, alive, 1248 days 143.1
U0134 82 years, male, NA, stage:T3N0M0, alive, 2009 days 142.2
U0302 73 years, male, NA, stage:T1N0M0, alive, 892 days 139.5
U0152 82 years, male, NA, stage:T3N1M0, alive, 989 days 136.8
U0347 68 years, female, NA, stage:T4N1M1, alive, 628 days 115.7
U2958 84 years, female, NA, stage:T1N0M0, alive, 536 days 114.4
U1472 47 years, female, NA, stage:T3N1M0, alive, 1316 days 106.3
U0972 83 years, female, NA, stage:T1N0M0, alive, 2473 days 103.2
U2819 86 years, female, NA, stage:T3N0M0, alive, 708 days 102.4
U0074 89 years, female, NA, stage:T3N0M0, dead, 1438 days 92.4
U0124 81 years, female, NA, stage:T1N0M0, alive, 2430 days 83.1
U1046 78 years, female, NA, stage:T4N2M1, dead, 697 days 77.2
U0326 64 years, female, NA, stage:T3N0M0, alive, 3178 days 57.5
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.

COL3A1 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.

: 670.79
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 601.1
Number of samples 88
Samples
Sample Description pTPM
TCGA-F5-6702-01A 71 years, male, white, stage:Stage IVA, dead, 869 days 5373.7
TCGA-EI-7004-01A 37 years, female, white, stage:'--, alive, 257 days 3636.2
TCGA-AF-6655-01A 66 years, male, white, stage:Stage IIIA, alive, 609 days 2259.4
TCGA-DC-6158-01A 70 years, male, white, stage:Stage I, dead, 334 days 1927.8
TCGA-F5-6811-01A 72 years, female, white, stage:Stage IIA, alive, 979 days 1881.2
TCGA-DC-6156-01A 62 years, male, white, stage:Stage IVA, alive, 943 days 1879.3
TCGA-AF-2687-01A 57 years, male, white, stage:Stage IIIC, alive, 1427 days 1748.6
TCGA-EI-6507-01A 60 years, male, white, stage:Stage IIA, alive, 607 days 1630.2
TCGA-AG-3731-01A 65 years, male, stage:Stage IV, alive, 1126 days 1516.9
TCGA-F5-6464-01A 77 years, female, white, stage:Stage IIIC, dead, 303 days 1459.0
TCGA-F5-6465-01A 64 years, female, white, stage:Stage IIA, alive, 1506 days 1388.5
TCGA-EI-6885-01A 57 years, female, white, stage:Stage IV, alive, 415 days 1121.3
TCGA-F5-6864-01A 74 years, female, white, stage:Stage IIIB, alive, 379 days 1073.6
TCGA-AH-6644-01A 73 years, male, white, stage:'--, alive, 838 days 1061.2
TCGA-AH-6549-01A 66 years, male, white, stage:'--, alive, 532 days 893.2
TCGA-DT-5265-01A 51 years, male, asian, stage:Stage II, alive, 384 days 860.8
TCGA-AF-A56N-01A 47 years, female, black or african american, stage:Stage IIA, alive, 360 days 854.6
TCGA-AG-4021-01A 84 years, female, stage:Stage IV, dead, 121 days 847.7
TCGA-EI-6917-01A 33 years, male, white, stage:Stage IIIA, alive, 531 days 806.1
TCGA-G5-6572-01A 56 years, male, white, stage:'--, dead, 1432 days 794.7
TCGA-EI-6511-01A 52 years, male, white, stage:Stage IIIB, alive, 482 days 723.4
TCGA-AF-2690-01A 76 years, female, white, stage:Stage IIIC, dead, 524 days 676.2
TCGA-EI-6884-01A 71 years, male, white, stage:Stage IIIA, alive, 328 days 665.3
TCGA-DC-6681-01A 70 years, female, white, stage:Stage IVA, alive, 790 days 608.7
TCGA-AF-A56K-01A 56 years, male, black or african american, stage:Stage IIA, alive, 2635 days 563.5
TCGA-EI-6508-01A 48 years, female, white, stage:Stage IIIB, alive, 636 days 534.3
TCGA-CL-5917-01A 71 years, female, white, stage:Stage IIIC, alive, 2376 days 533.1
TCGA-EF-5831-01A 72 years, male, white, stage:Stage IIA, alive, 127 days 531.6
TCGA-EI-6512-01A 64 years, female, white, stage:Stage IIIB, alive, 538 days 528.8
TCGA-EI-7002-01A 58 years, male, white, stage:Stage IV, alive, 364 days 524.7
TCGA-F5-6571-01A 62 years, female, white, stage:Stage IIA, alive, 1288 days 508.2
TCGA-AG-3742-01A 85 years, female, stage:Stage I, alive, 30 days 484.3
TCGA-AG-4022-01A 59 years, female, stage:Stage II, alive, 1400 days 475.7
TCGA-CI-6621-01A 63 years, male, white, stage:Stage IIIB, alive, 419 days 461.2
TCGA-F5-6812-01A 67 years, male, white, stage:Stage IIA, alive, 1110 days 458.2
TCGA-EI-6509-01A 53 years, male, white, stage:Stage IIIC, alive, 517 days 438.8
TCGA-AH-6547-01A 79 years, female, white, stage:'--, dead, 76 days 435.8
TCGA-DC-5869-01A 62 years, female, black or african american, stage:Stage IIIB, alive, 943 days 414.9
TCGA-AF-3911-01A 48 years, male, white, stage:Stage IIIC, alive, 1148 days 414.6
TCGA-DC-6683-01A 43 years, male, white, stage:Stage IIIB, alive, 762 days 403.9
TCGA-CL-4957-01A 79 years, female, stage:'--, dead, 425 days 399.4
TCGA-AF-A56L-01A 48 years, female, black or african american, stage:Stage IIIC, alive, 2007 days 385.7
TCGA-AF-4110-01A 77 years, male, white, stage:Stage IVA, alive, 912 days 384.8
TCGA-EI-6513-01A 59 years, male, white, stage:Stage IIIB, alive, 497 days 361.3
TCGA-BM-6198-01A 73 years, male, white, stage:Stage IIIB, alive, 646 days 352.6
TCGA-CI-6620-01A 41 years, female, white, stage:Stage IVA, alive, 1009 days 349.1
TCGA-EI-6882-01A 59 years, male, white, stage:Stage IIA, alive, 262 days 336.4
TCGA-F5-6814-01A 57 years, male, white, stage:Stage IIA, alive, 1131 days 311.2
TCGA-F5-6861-01A 60 years, female, white, stage:Stage IIA, alive, 1160 days 299.9
TCGA-DC-6154-01A 57 years, female, white, stage:Stage IVA, alive, 365 days 298.6
TCGA-DY-A0XA-01A 57 years, female, white, stage:Stage IIA, alive, 3846 days 297.7
TCGA-AH-6643-01A 50 years, male, white, stage:Stage IIIC, dead, 1314 days 289.5
TCGA-EI-6506-01A 78 years, female, white, stage:Stage IIA, alive, 625 days 278.2
TCGA-F5-6863-01A 71 years, female, white, stage:Stage IIIB, dead, 361 days 271.1
TCGA-DC-4749-01A 57 years, male, white, stage:Stage I, alive, 762 days 265.2
TCGA-F5-6813-01A 70 years, male, white, stage:Stage IIIC, dead, 598 days 264.8
TCGA-DC-6157-01A 48 years, male, black or african american, stage:Stage I, alive, 1581 days 262.0
TCGA-AG-3592-01A 68 years, male, stage:Stage IIA, alive, 1035 days 245.2
TCGA-AF-2693-01A 75 years, male, white, stage:Stage I, alive, 1155 days 244.7
TCGA-DY-A1DC-01A 72 years, female, white, stage:Stage IIA, dead, 1258 days 238.0
TCGA-AH-6897-01A 48 years, male, white, stage:Stage I, alive, 804 days 229.7
TCGA-CI-6622-01A 74 years, male, white, stage:Stage IIB, alive, 1362 days 218.1
TCGA-G5-6233-01A 74 years, male, white, stage:'--, dead, 556 days 202.2
TCGA-EI-6883-01A 63 years, male, white, stage:Stage IIC, alive, 350 days 192.7
TCGA-EI-6514-01A 59 years, female, white, stage:Stage IIA, alive, 496 days 186.9
TCGA-EF-5830-01A 54 years, male, white, stage:Stage IIB, alive, 106 days 180.4
TCGA-AF-6672-01A 43 years, male, white, stage:Stage IV, alive, 748 days 172.8
TCGA-DC-6160-01A 68 years, male, white, stage:Stage I, alive, 1339 days 169.5
TCGA-DY-A1DE-01A 56 years, female, white, stage:Stage IIA, alive, 3932 days 168.1
TCGA-AF-6136-01A 72 years, female, white, stage:Stage IIIB, alive, 741 days 156.1
TCGA-EI-6881-01A 60 years, male, white, stage:Stage IIIA, alive, 499 days 153.7
TCGA-DC-5337-01A 69 years, male, white, stage:Stage I, alive, 792 days 152.2
TCGA-DC-4745-01A 49 years, female, white, stage:Stage IIIB, alive, 639 days 152.2
TCGA-AG-3902-01A 61 years, male, stage:Stage IIA, alive, 974 days 137.9
TCGA-AF-5654-01A 73 years, female, white, stage:Stage I, dead, 512 days 127.6
TCGA-AH-6544-01A 60 years, male, white, stage:'--, alive, 1173 days 109.0
TCGA-AH-6903-01A 46 years, male, white, stage:Stage IIIB, alive, 592 days 108.7
TCGA-DC-6682-01A 57 years, male, white, stage:Stage IIA, alive, 762 days 92.7
TCGA-AG-3732-01A 78 years, female, stage:Stage I, alive, 1003 days 91.0
TCGA-DY-A1DF-01A 73 years, female, white, stage:Stage IIIC, dead, 734 days 77.0
TCGA-DY-A1DD-01A 77 years, female, white, stage:Stage IIIB, dead, 1741 days 70.7
TCGA-G5-6235-01A 72 years, male, white, stage:Stage IIIB, alive, 1696 days 51.6
TCGA-AG-3591-01A 66 years, female, stage:Stage IIA, alive, 1035 days 47.8
TCGA-EI-6510-01A 77 years, female, white, stage:'--, alive, 556 days 31.9
TCGA-DC-6155-01A 31 years, female, white, stage:Stage IIIA, alive, 425 days 28.6
TCGA-G5-6641-01A 67 years, male, white, stage:Stage IIIA, alive, 804 days 26.8
TCGA-DY-A1DG-01A 75 years, male, white, stage:Stage IVA, dead, 1566 days 21.1
TCGA-DY-A1H8-01A 77 years, female, white, stage:Stage IIIA, dead, 992 days 12.0
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.

COL3A1 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.

: 631.26
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 1192.4
Number of samples 207
Samples
Sample Description pTPM
U0118 81 years, female, NA, stage:T3N2M0, dead, 350 days 10017.9
U0457 50 years, male, NA, stage:T3N0M0, alive, 833 days 9096.6
U0271 69 years, female, NA, stage:T3N1M0, alive, 2414 days 8004.9
U0454 46 years, male, NA, stage:T3N1M0, alive, 2997 days 5293.3
U0409 61 years, female, NA, stage:T3N1M0, alive, 934 days 4671.8
U2834 70 years, male, NA, stage:T3N1M0, alive, 323 days 4128.3
U0478 75 years, male, NA, stage:T4N2M0, alive, 2051 days 4077.5
U0325 67 years, male, NA, stage:T3N0M0, dead, 1947 days 3985.1
U0190 75 years, male, NA, stage:T3N0M0, alive, 2367 days 3867.9
U0322 67 years, male, NA, stage:T4N2M0, alive, 1694 days 3752.3
U0604 67 years, male, NA, stage:T3N1M0, alive, 1522 days 3579.5
U0086 86 years, female, NA, stage:T3N1M0, dead, 594 days 3314.8
U0572 67 years, female, NA, stage:T3N1M0, alive, 2621 days 3160.6
U0120 80 years, female, NA, stage:T3N0M0, alive, 3233 days 3036.6
U0242 69 years, male, NA, stage:T3N0M0, alive, 2950 days 2896.7
U0657 46 years, female, NA, stage:T2N0M0, dead, 1109 days 2850.3
U0423 55 years, female, NA, stage:T4N2M0, alive, 2735 days 2811.9
U0329 70 years, male, NA, stage:T3N1M0, dead, 805 days 2808.7
U0138 80 years, male, NA, stage:T3N1M0, dead, 2472 days 2786.8
U0713 63 years, male, NA, stage:T2N0M0, alive, 359 days 2779.9
U0654 72 years, male, NA, stage:T3N2M0, alive, 1220 days 2774.9
U2972 91 years, male, NA, stage:T3N0M0, alive, 161 days 2730.2
U0402 58 years, female, NA, stage:T3N1M0, dead, 2487 days 2716.9
U0173 77 years, male, NA, stage:T2N0M0, dead, 2375 days 2701.2
U0637 56 years, male, NA, stage:T3N1M0, alive, 1997 days 2660.7
U3047 70 years, male, NA, stage:T3N2M0, alive, 205 days 2642.7
U0001 69 years, female, NA, stage:T3N0M0, alive, 3188 days 2540.4
U0849 81 years, female, NA, stage:T4N0M1, dead, 267 days 2441.7
U0137 80 years, male, NA, stage:T3N1M0, dead, 1799 days 2437.3
U0415 56 years, male, NA, stage:T3N1M0, alive, 2526 days 2403.3
U0534 69 years, female, NA, stage:T3N2M0, alive, 1361 days 2364.1
U0351 63 years, female, NA, stage:T3N2M0, alive, 2886 days 2300.1
U0535 54 years, female, NA, stage:T4N1M0, alive, 2473 days 2291.9
U0371 62 years, female, NA, stage:T3N0M0, alive, 2688 days 2232.6
U0216 72 years, male, NA, stage:T2N0M0, alive, 2684 days 2226.9
U0857 76 years, male, NA, stage:T4N2M1, dead, 954 days 2165.1
U0584 66 years, male, NA, stage:T3N2M0, alive, 2705 days 2155.4
U0861 62 years, female, NA, stage:T4N2M1, dead, 184 days 1983.7
U0800 74 years, male, NA, stage:T3N2M1, dead, 411 days 1963.3
U0159 79 years, female, NA, stage:T3N1M0, alive, 1517 days 1934.6
U2764 65 years, male, NA, stage:T3N2M0, alive, 440 days 1906.3
U0255 68 years, female, NA, stage:T3N2M0, dead, 1079 days 1853.0
U0602 79 years, male, NA, stage:T2N0M0, alive, 1385 days 1809.8
U0264 69 years, male, NA, stage:T4N2M0, alive, 2020 days 1783.9
U0282 70 years, male, NA, stage:T3N2M0, dead, 1869 days 1647.5
U2836 87 years, male, NA, stage:T3N0M0, alive, 322 days 1646.6
U0228 76 years, male, NA, stage:T2N0M0, alive, 963 days 1590.2
U0422 56 years, female, NA, stage:T3N2M1, dead, 1710 days 1542.1
U0648 65 years, female, NA, stage:T3N0M0, alive, 1415 days 1512.1
U0241 76 years, female, NA, stage:T2N1M0, alive, 552 days 1391.2
U0512 65 years, male, NA, stage:T3N0M0, alive, 2550 days 1366.8
U0600 72 years, male, NA, stage:T3N1M0, alive, 1659 days 1365.9
U0647 85 years, female, NA, stage:T3N0M0, alive, 1476 days 1362.2
U0284 73 years, male, NA, stage:T3N2M0, alive, 581 days 1341.6
U0305 66 years, male, NA, stage:T3N1M0, alive, 2676 days 1248.8
U0192 76 years, male, NA, stage:T3N0M0, alive, 2081 days 1237.7
U0407 59 years, male, NA, stage:T3N1M0, dead, 2027 days 1222.0
U0587 47 years, male, NA, stage:T3N1M0, alive, 2107 days 1211.0
U2943 79 years, male, NA, stage:T3N0M0, alive, 189 days 1210.3
U0581 66 years, female, NA, stage:T3N2M0, alive, 1660 days 1193.0
U0492 63 years, male, NA, stage:T3N2M0, alive, 1114 days 1178.0
U3049 72 years, male, NA, stage:T2N0M0, alive, 533 days 1177.4
U0502 65 years, male, NA, stage:T4N1M0, alive, 1065 days 1166.5
U0577 59 years, female, NA, stage:T3N2M0, alive, 2474 days 1164.2
U0638 52 years, male, NA, stage:T2N0M0, alive, 1801 days 1164.0
U0707 59 years, male, NA, stage:T3N1M0, alive, 518 days 1150.8
U0405 63 years, male, NA, stage:T3N1M0, alive, 829 days 1102.2
U0220 76 years, male, NA, stage:T2N0M0, alive, 1066 days 1097.4
U0213 71 years, male, NA, stage:T3N1M0, alive, 3018 days 1097.3
U0116 85 years, male, NA, stage:T3N1M0, dead, 930 days 1092.1
U0174 81 years, male, NA, stage:T3N0M0, alive, 450 days 1062.2
U0251 71 years, male, NA, stage:T2N0M0, alive, 1906 days 1045.8
U0237 71 years, male, NA, stage:T3N1M0, alive, 2492 days 1038.0
U0776 62 years, male, NA, stage:T4N2M0, alive, 1702 days 1032.9
U2994 70 years, female, NA, stage:T4N1M0, alive, 132 days 1017.0
U0494 73 years, male, NA, stage:T4N2M0, alive, 1290 days 1016.2
U2779 74 years, male, NA, stage:T3N0M0, alive, 419 days 1013.8
U0565 84 years, male, NA, stage:T4N1M0, alive, 1452 days 1012.6
U0643 58 years, female, NA, stage:T2N1M0, dead, 1583 days 1011.6
U0596 61 years, male, NA, stage:T3N0M0, alive, 2233 days 1007.0
U0649 67 years, male, NA, stage:T2N0M0, alive, 1424 days 974.7
U0430 55 years, male, NA, stage:T3N2M0, dead, 2472 days 965.2
U0380 62 years, male, NA, stage:T2N0M0, alive, 2155 days 963.0
U0468 38 years, female, NA, stage:T3N0M0, alive, 1921 days 944.5
U0804 66 years, female, NA, stage:T3N2M1, dead, 380 days 937.5
U0140 80 years, male, NA, stage:T3N2M0, alive, 2655 days 927.4
U0434 54 years, male, NA, stage:T2N0M0, alive, 2558 days 923.0
U2761 74 years, female, NA, stage:T3N1M0, alive, 447 days 918.4
U0296 67 years, male, NA, stage:T3N0M0, alive, 2610 days 914.7
U0650 57 years, female, NA, stage:T2N2M0, alive, 1331 days 913.4
U0339 64 years, male, NA, stage:T3N2M0, alive, 2155 days 897.5
U0230 70 years, female, NA, stage:T1N1M0, alive, 3152 days 882.0
U0324 70 years, female, NA, stage:T4N1M0, alive, 938 days 877.3
U0645 60 years, male, NA, stage:T3N0M0, alive, 1567 days 859.9
U0079 86 years, male, NA, stage:T4N2M0, dead, 1891 days 856.8
U0601 75 years, female, NA, stage:T4N1M0, alive, 1368 days 848.6
U0097 83 years, male, NA, stage:T3N0M1, dead, 2903 days 825.3
U0388 61 years, male, NA, stage:T2N1M0, alive, 2186 days 809.7
U0642 87 years, male, NA, stage:T3N0M0, alive, 1603 days 796.2
U0243 69 years, female, NA, stage:T3N2M0, alive, 2975 days 779.4
U0406 58 years, female, NA, stage:T4N2M1, dead, 778 days 779.2
U0417 54 years, female, NA, stage:T3N2M1, dead, 893 days 760.1
U3023 63 years, female, NA, stage:T2N0M0, alive, 404 days 759.3
U2955 50 years, male, NA, stage:T3N1M0, alive, 181 days 751.0
U0311 70 years, female, NA, stage:T3N1M0, alive, 1176 days 741.4
U0695 85 years, male, NA, stage:T3N0M0, alive, 566 days 717.5
U0579 65 years, female, NA, stage:T4aN0M0, alive, 2845 days 689.1
U0820 74 years, male, NA, stage:T3NXM1, dead, 622 days 680.9
U0593 74 years, male, NA, stage:T4bN0M0, alive, 876 days 679.2
U0561 68 years, female, NA, stage:T3N2M0, alive, 1577 days 677.3
U0852 36 years, male, NA, stage:T3N2M1, alive, 1651 days 648.6
U0576 69 years, male, NA, stage:T3N2M0, alive, 2540 days 643.4
U0519 69 years, male, NA, stage:T4N2M0, dead, 519 days 641.0
U0484 55 years, male, NA, stage:T4N2M0, alive, 1275 days 637.4
U0533 68 years, male, NA, stage:T3N2M0, alive, 2248 days 635.9
U0188 76 years, female, NA, stage:T3N1M0, alive, 2134 days 634.7
U0096 88 years, female, NA, stage:T4N2M1, dead, 257 days 627.8
U0294 73 years, male, NA, stage:T4N0M1, alive, 561 days 626.3
U0205 72 years, female, NA, stage:T3N2M0, alive, 2984 days 622.4
U0805 65 years, male, NA, stage:T3N1M1, dead, 731 days 614.6
U0132 82 years, male, NA, stage:T3N1M0, alive, 1798 days 614.4
U0675 84 years, female, NA, stage:T4N1M0, dead, 89 days 608.5
U0542 68 years, male, NA, stage:T3N2M0, dead, 1482 days 605.3
U0809 85 years, female, NA, stage:T3N1M1, dead, 275 days 601.8
U0814 80 years, female, NA, stage:T3N1M1, dead, 482 days 599.1
U0803 68 years, female, NA, stage:T3N1M1, dead, 495 days 593.1
U0592 90 years, female, NA, stage:T2N0M0, dead, 670 days 580.9
U0532 72 years, male, NA, stage:T3N0M0, dead, 730 days 578.5
U0030 82 years, female, NA, stage:T2N0M0, dead, 987 days 560.1
U0793 80 years, male, NA, stage:T3N1M1, dead, 195 days 540.6
U0591 81 years, male, NA, stage:T2N0M0, alive, 1023 days 538.7
U0666 59 years, male, NA, stage:T3N1M0, alive, 709 days 520.7
U0498 72 years, female, NA, stage:T4N1M0, alive, 1906 days 508.8
U0558 63 years, female, NA, stage:T3N2M0, alive, 2011 days 504.9
U0331 64 years, male, NA, stage:T3N1M1, dead, 906 days 499.8
U0553 68 years, female, NA, stage:T3N2M0, alive, 1704 days 492.1
U0088 86 years, male, NA, stage:T3N1M1, dead, 260 days 490.8
U0578 42 years, male, NA, stage:T2N2M0, alive, 1724 days 488.6
U0497 66 years, female, NA, stage:T3N1M0, alive, 1414 days 484.7
U0651 70 years, male, NA, stage:T3N0M0, alive, 1354 days 461.6
U0232 71 years, female, NA, stage:T2N0M0, dead, 994 days 455.8
U0594 71 years, male, NA, stage:T3N0M0, alive, 2852 days 449.5
U0238 73 years, male, NA, stage:T3N0M0, dead, 868 days 441.3
U0466 40 years, male, NA, stage:T3N0M0, alive, 1381 days 437.5
U0656 68 years, male, NA, stage:T3N2M0, alive, 1150 days 435.2
U0364 67 years, female, NA, stage:T4N2M1, dead, 151 days 432.5
U0555 60 years, male, NA, stage:T3N2M0, alive, 2043 days 428.7
U0514 52 years, female, NA, stage:T2N2M0, alive, 2799 days 425.7
U0562 58 years, female, NA, stage:T3N1M0, alive, 3092 days 425.3
U0545 62 years, male, NA, stage:T3N0M0, alive, 2340 days 416.6
U0848 86 years, male, NA, stage:T3N1M1, dead, 1185 days 414.1
U0595 71 years, male, NA, stage:T2N0M0, alive, 2535 days 410.1
U0391 64 years, female, NA, stage:T3N0M0, alive, 1179 days 409.9
U0147 78 years, female, NA, stage:T3N0M0, dead, 2085 days 400.1
U0093 85 years, male, NA, stage:T3N2M0, dead, 1118 days 399.6
U0374 65 years, female, NA, stage:T2N0M0, alive, 1067 days 398.4
U0865 72 years, female, NA, stage:T3N1M1, dead, 856 days 393.1
U0212 77 years, male, NA, stage:T3N0M1, alive, 1330 days 392.6
U0663 78 years, female, NA, stage:T3N1M0, alive, 762 days 391.5
U0539 66 years, male, NA, stage:T4N2M0, alive, 2017 days 378.2
U0538 73 years, female, NA, stage:T3N1M0, alive, 1308 days 375.7
U0293 67 years, male, NA, stage:T3N1M0, alive, 2717 days 374.7
U0128 86 years, female, NA, stage:T3N1M0, alive, 449 days 370.2
U0437 57 years, male, NA, stage:T1N1M0, alive, 849 days 365.6
U0671 93 years, male, NA, stage:T3N1M0, dead, 785 days 345.8
U0802 70 years, male, NA, stage:T3N2M1, dead, 338 days 345.4
U0343 69 years, female, NA, stage:T2N0M0, alive, 701 days 339.8
U0194 79 years, male, NA, stage:T3N1M0, alive, 680 days 330.9
U0640 64 years, male, NA, stage:T2N0M0, alive, 1696 days 330.0
U0508 70 years, male, NA, stage:T3N1M0, alive, 1120 days 294.6
U0686 77 years, female, NA, stage:T4bN0M0, dead, 123 days 292.9
U0511 92 years, female, NA, stage:T3N0M0, dead, 2387 days 292.2
U0279 74 years, male, NA, stage:T2N1M0, dead, 176 days 288.8
U0114 84 years, male, NA, stage:T3N0M0, alive, 1910 days 278.1
U0485 74 years, male, NA, stage:T3N0M0, dead, 2737 days 276.2
U0077 86 years, female, NA, stage:T2N0M0, dead, 588 days 252.0
U2960 52 years, male, NA, stage:T3N1M0, alive, 176 days 250.7
U0603 73 years, male, NA, stage:T2N1M0, alive, 1904 days 249.0
U0568 59 years, male, NA, stage:T4N1M0, alive, 1287 days 247.0
U0862 75 years, male, NA, stage:T4N2M1, dead, 1064 days 246.9
U0334 64 years, male, NA, stage:T3N1M0, alive, 3171 days 237.1
U0557 51 years, female, NA, stage:T3N2M0, alive, 2009 days 236.7
U0552 67 years, male, NA, stage:T3N2M0, alive, 1701 days 236.0
U0550 43 years, male, NA, stage:T3N2M0, alive, 2191 days 227.3
U0276 73 years, male, NA, stage:T3N1M1, alive, 934 days 226.9
U2991 77 years, female, NA, stage:T1N0M0, alive, 135 days 218.0
U0298 72 years, male, NA, stage:T3N1M0, alive, 513 days 217.4
U0304 68 years, male, NA, stage:T3N2M0, alive, 2065 days 211.6
U0080 86 years, female, NA, stage:T3N0M0, dead, 489 days 207.3
U0652 76 years, male, NA, stage:T3N0M0, alive, 1319 days 199.2
U0155 77 years, male, NA, stage:T2N0M0, dead, 1672 days 179.6
U0694 85 years, male, NA, stage:T4N0M0, dead, 489 days 177.6
U0359 64 years, male, NA, stage:T3N2M0, dead, 2443 days 177.5
U0556 66 years, male, NA, stage:T3N2M0, alive, 2037 days 160.9
U0353 62 years, female, NA, stage:T1N0M0, alive, 2912 days 160.2
U0258 73 years, male, NA, stage:T4N1M2, dead, 195 days 152.9
U0431 59 years, female, NA, stage:T3N1M0, alive, 695 days 146.9
U0641 61 years, female, NA, stage:T3N0M0, dead, 1626 days 132.9
U0418 60 years, male, NA, stage:T4N1M0, alive, 1246 days 128.5
U0658 75 years, male, NA, stage:T3N2M0, alive, 1108 days 121.4
U0299 71 years, female, NA, stage:T4N2M0, alive, 43426 days 121.1
U0458 49 years, male, NA, stage:T3N2M0, alive, 1073 days 107.5
U0750 64 years, female, NA, stage:T3N2M0, dead, 1393 days 103.3
U0470 39 years, female, NA, stage:T2N2M0, alive, 961 days 94.6
U0346 67 years, male, NA, stage:T4N2M0, alive, 1148 days 87.7
U0366 67 years, male, NA, stage:T3NXM1, alive, 895 days 87.5
U0605 74 years, male, NA, stage:T2N0M0, alive, 952 days 64.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples 197
Samples
Sample ID Sample type nRPX
233ec093-9a30-4ef4-a12c-91757e_D2 Normal 1.5
b2978e90-cd2a-4665-b1bf-508a99_D2 Normal 1.0
02cde0c0-6840-495b-9b11-007d82_D2 Normal 1.0
1136008b-97ce-49b0-bf24-abbea6_D2 Normal 1.0
206f3bd9-f62c-4663-8fdb-5b731b_D2 Normal 1.0
176d1b96-8c6e-44fe-8a32-e15194_D2 Normal 1.0
98742d96-cc2f-43f0-9de2-bc7afe_D3 Tumor 0.9
3765c09a-fff7-4b37-bf2b-452b23_D2 Normal 0.7
e74089a9-f78c-4ffe-8174-aef71b_D2 Normal 0.7
853ecf90-71e6-4156-a56f-a34b65_D2 Normal 0.7
974e136f-7020-4a38-b9c1-094df9_D2 Normal 0.7
377cdd37-d1bd-4042-997e-478a0f_D2 Normal 0.6
9a6879b1-4f78-4ac6-9fca-dad049_D2 Normal 0.6
1f79fed9-f0d4-4c45-acd2-ea1441_D2 Normal 0.6
1c070992-647b-4173-a481-904c4d_D2 Normal 0.6
c8694e31-2c8f-4eb6-a7ef-a137d9_D3 Tumor 0.6
2666323d-522f-4f0a-823c-ff8866_D2 Normal 0.6
a5c8bf1d-776c-406f-82a3-2d9ce6_D2 Normal 0.6
bc574f73-89ba-44d7-992e-82622c_D3 Tumor 0.6
21cab01c-e968-42cc-9651-1e53c0_D3 Tumor 0.5
8c73f3a5-fea8-4942-90c0-966f66_D3 Tumor 0.5
a27cf22d-836e-49a7-802f-47c1db_D2 Normal 0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2 Normal 0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2 Normal 0.5
e8faa3a7-9fc7-428e-9334-a0afd0_D3 Tumor 0.5
1563ef63-d2e6-406f-adc1-255949_D3 Tumor 0.5
c307b7b0-534a-45fa-a420-35f773_D2 Normal 0.5
16ac8458-5200-4302-9ad0-b311df_D2 Normal 0.5
e2e83b72-b14b-4b06-9461-1115d6_D2 Tumor 0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2 Normal 0.5
5a3aa99d-ca10-45f6-939f-12392a_D2 Normal 0.5
5de06adb-e00d-4114-8d76-04bd30_D2 Normal 0.5
359f5c81-2575-497e-8630-e4866f_D2 Normal 0.5
5c70e654-583c-4dd3-ad42-0d9b39_D2 Normal 0.5
154115ac-2ec2-439d-b55e-0464ee_D2 Normal 0.5
2cc46aec-6142-4fb9-aca5-c442b9_D2 Normal 0.5
411d9597-c785-4de5-b449-29a80d_D2 Normal 0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2 Normal 0.4
3a17283c-a0f4-4514-956b-080d11_D2 Normal 0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3 Tumor 0.4
da747cee-5026-4923-af63-ad9f81_D2 Normal 0.4
a243b765-61ab-4aa6-88e1-226896_D2 Normal 0.4
694e8df1-d9ee-473b-bec1-4f9237_D2 Normal 0.4
62627b73-1763-48bc-8eea-e5bd76_D2 Normal 0.4
e1cd3d70-132b-452f-ba10-026721_D2 Tumor 0.4
4cdeecb5-19fb-493c-91f5-eb0efc_D3 Tumor 0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2 Normal 0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2 Normal 0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2 Normal 0.4
526c3664-5b9b-4a2b-a00e-a14623_D2 Tumor 0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2 Normal 0.3
87b0e853-43ea-4efb-8a22-dd221f_D2 Normal 0.3
bed27f66-ef3b-4868-b4ad-205018_D2 Normal 0.3
4b263734-430f-41dc-a296-8691f0_D3 Tumor 0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2 Normal 0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2 Normal 0.3
cbd0e774-c741-4753-9c9e-391a7d_D2 Normal 0.3
efee6bb9-69dd-46c2-85b3-b55962_D2 Normal 0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2 Normal 0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2 Tumor 0.3
1bf00d93-240f-47e8-8055-f546b0_D2 Normal 0.3
067db520-1b1f-4569-9414-e37a6e_D2 Normal 0.2
82157a70-12f1-4913-b548-d98881_D2 Normal 0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2 Tumor 0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8 Tumor 0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2 Normal 0.2
d8805fa4-30f9-4417-907e-fdc50c_D2 Normal 0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2 Normal 0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2 Normal 0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3 Tumor 0.2
df479b07-bbf6-472d-a580-c3fd0c_D2 Normal 0.2
903d5fe0-970a-47be-a97f-3cc914_D2 Normal 0.2
41a04113-2061-4923-bca5-da586c_D2 Normal 0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2 Normal 0.2
b3696374-c6c0-49dd-833e-596e26_D2 Normal 0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2 Normal 0.2
bda3787a-1397-4716-bb17-4992a8_D2 Normal 0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2 Normal 0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2 Normal 0.1
47d2a435-b203-4438-ae72-53c424_D2 Normal 0.1
65867ab1-5eab-44a8-b2bb-d27263_D2 Normal 0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3 Tumor 0.1
591fb460-703a-437d-8d9a-ff2a35_D3 Tumor 0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2 Tumor 0.1
d80408d6-598d-4411-ab34-eb2545_D2 Normal 0.1
6797a69d-2f74-44b9-8147-cd4fac_D2 Normal 0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2 Normal 0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2 Normal 0.1
64ed43a2-f083-43cb-9d0d-118495_D2 Normal 0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3 Tumor 0.1
26acb513-3ffe-49ad-8581-9dfc97_D2 Normal 0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2 Normal 0.1
0d5554d1-1653-4589-a44f-43113e_D2 Normal 0.1
963fc8db-f412-4427-a198-23f660_D2 Normal 0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3 Tumor 0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2 Tumor 0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2 Normal 0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3 Tumor 0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2 Normal 0.0
d3078fa8-0692-411f-8441-0c7c48_D8 Tumor 0.0
e515eb5c-8005-416a-9b42-59de9d_D8 Tumor 0.0
a313f6ef-5994-4d49-9e66-c26911_D2 Normal 0.0
b2400046-1d25-429d-a821-6040a6 Tumor 0.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3 Tumor 0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3 Tumor 0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2 Tumor 0.0
2b810478-7956-4a8b-870d-184859_D2 Tumor 0.0
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c1b66358-d103-493c-b8ec-92c43b_D1 Tumor -0.1
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b871c0c1-a97b-4ac1-887c-0317b6_D2 Normal -0.1
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cc271b3d-ed33-481f-9d23-15f2f6_D2 Normal -0.1
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5557e478-3e6f-475b-8acc-1b4159_D8 Tumor -0.2
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348f6009-e1be-44d2-a093-9ca844_D2 Normal -0.2
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e070ff10-058b-4733-93ab-bdd702_D2 Normal -0.4
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0aef1fe8-ca61-4113-81d0-d82ee7_D2 Tumor -0.9
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1ab06c24-ffc0-4323-a0cc-e9f5c5_D2 Tumor -1.4
05a33362-82bb-48ac-8feb-ad2ea1_D2 Tumor -1.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3 Tumor -1.4
372c900a-fced-4eef-9dc4-7282ec_D2 Tumor -1.4
b4e91300-405e-4239-b8da-5e1a42_D2 Tumor -1.5
58a92726-4d1f-4e44-8938-52b97d_D3 Tumor -1.5
cd89ffbb-574a-4052-bd9a-00c890_D2 Tumor -1.5
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8cc7e656-0152-4359-8566-0581c3 Tumor -1.5
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41ee934e-f7a3-4ef5-8a83-e2ac56_D2 Tumor -1.7
c7aeb685-31b3-445e-8177-a3e729_D3 Tumor -1.8
c9730cb4-b52c-4ca8-9652-4509d0_D2 Tumor -1.8
5271982c-5de1-4d6e-b414-b1f3ef_D2 Tumor -1.8
ea6df59d-5240-4927-b19d-d44590_D2 Tumor -1.8
f69deaeb-6b6f-4c61-8900-fd0f26_D3 Tumor -1.9
e0068ac5-f557-443a-bd4b-bdfcef_D3 Tumor -1.9
66b57abc-0d49-46bb-a390-0e11a9_D2 Tumor -1.9
43192517-085e-450e-9481-0a6713_D3 Tumor -2.3
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 HPA007583

Antibody CAB016766

Antibody CAB059993
 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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