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  • COX5B
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.

COX5B 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.

: 380.23
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 352.7
Number of samples 254
Samples
Sample Description pTPM
TCGA-T9-A92H-01A 82 years, male, black or african american, stage:Stage IIA, alive, 362 days 819.7
TCGA-4N-A93T-01A 67 years, male, black or african american, stage:Stage IIIB, alive, 146 days 705.7
TCGA-RU-A8FL-01A 51 years, male, black or african american, stage:Stage IIIB, alive, 1177 days 668.6
TCGA-G4-6626-01A 90 years, male, white, stage:Stage IIA, dead, 1 days 667.8
TCGA-AA-3685-01A 69 years, male, stage:Stage II, alive, 1127 days 633.8
TCGA-AA-3526-01A 57 years, male, stage:Stage I, alive, 580 days 629.2
TCGA-AA-A02K-01A 50 years, male, stage:Stage IV, dead, 426 days 618.3
TCGA-A6-2686-01A 81 years, female, white, stage:Stage IIA, dead, 1126 days 617.5
TCGA-QG-A5YX-01A 61 years, female, black or african american, stage:Stage IIA, alive, 1003 days 605.8
TCGA-G4-6317-01A 51 years, female, white, stage:Stage IIIC, alive, 1095 days 601.8
TCGA-A6-5662-01A 46 years, male, white, stage:Stage IVA, alive, 718 days 595.2
TCGA-AA-3663-01A 42 years, male, stage:Stage II, alive, 212 days 585.7
TCGA-5M-AAT4-01A 74 years, male, black or african american, stage:Stage IV, dead, 49 days 581.5
TCGA-AY-5543-01A 65 years, female, black or african american, stage:Stage IVA, alive, 1004 days 579.8
TCGA-D5-6537-01A 64 years, male, white, stage:Stage IIIB, dead, 146 days 577.2
TCGA-NH-A50T-01A 68 years, female, black or african american, stage:Stage IIA, alive, 553 days 564.6
TCGA-AU-3779-01A 80 years, female, white, stage:Stage IIA, alive, 441 days 563.0
TCGA-D5-6533-01A 68 years, female, white, stage:'--, alive, 775 days 551.0
TCGA-DM-A1HA-01A 82 years, male, white, stage:Stage IIIC, alive, 2600 days 534.7
TCGA-NH-A50U-01A 42 years, male, black or african american, stage:Stage IVA, dead, 334 days 534.3
TCGA-G4-6315-01A 66 years, male, white, stage:Stage IV, alive, 1883 days 530.8
TCGA-DM-A1D0-01A 79 years, female, white, stage:Stage IIA, alive, 3974 days 529.2
TCGA-G4-6295-01A 70 years, female, white, stage:Stage II, alive, 254 days 520.6
TCGA-CM-5344-01A 39 years, female, white, stage:Stage IIIB, alive, 670 days 514.4
TCGA-CM-4743-01A 69 years, male, white, stage:Stage IIA, alive, 701 days 512.0
TCGA-AZ-4616-01A 82 years, female, white, stage:Stage IV, dead, 156 days 511.9
TCGA-AY-A8YK-01A 44 years, male, black or african american, stage:Stage IVA, alive, 573 days 511.0
TCGA-AY-A69D-01A 55 years, female, black or african american, stage:Stage IIA, alive, 543 days 507.6
TCGA-QG-A5YW-01A 55 years, female, black or african american, stage:Stage IIIC, alive, 896 days 506.2
TCGA-D5-6932-01A 69 years, male, white, stage:Stage IIA, alive, 346 days 500.5
TCGA-AZ-6601-01A 68 years, male, white, stage:Stage II, dead, 3042 days 495.6
TCGA-A6-5666-01A 78 years, male, white, stage:Stage IIC, alive, 995 days 494.3
TCGA-A6-6653-01A 82 years, male, white, stage:Stage I, alive, 742 days 493.8
TCGA-NH-A6GA-01A 58 years, male, black or african american, stage:Stage IIIC, dead, 302 days 487.5
TCGA-CM-6164-01A 46 years, female, white, stage:Stage IIA, alive, 883 days 484.3
TCGA-DM-A28C-01A 74 years, male, white, stage:Stage IIA, dead, 2475 days 480.0
TCGA-AA-3697-01A 77 years, male, stage:Stage II, alive, 2587 days 479.5
TCGA-CM-6677-01A 75 years, female, white, stage:Stage IIA, alive, 337 days 478.7
TCGA-D5-6535-01A 80 years, female, white, stage:Stage IIIB, alive, 460 days 477.6
TCGA-AA-3675-01A 84 years, male, stage:Stage II, alive, 1431 days 477.5
TCGA-DM-A28F-01A 73 years, male, white, stage:Stage IIIB, dead, 1094 days 476.0
TCGA-AZ-5407-01A 51 years, female, white, stage:Stage I, alive, 2683 days 474.7
TCGA-D5-5537-01A 83 years, male, white, stage:'--, dead, 1381 days 470.3
TCGA-G4-6586-01A 73 years, female, white, stage:Stage IIA, alive, 1089 days 463.5
TCGA-DM-A28A-01A 78 years, male, white, stage:Stage IIIC, dead, 805 days 462.4
TCGA-AD-6963-01A 58 years, male, white, stage:'--, alive, 834 days 461.8
TCGA-NH-A8F7-01A 53 years, female, black or african american, stage:Stage IIA, alive, 543 days 459.8
TCGA-A6-6780-01A 74 years, male, white, stage:Stage IIA, alive, 612 days 454.6
TCGA-F4-6854-01A 77 years, female, white, stage:Stage IIA, alive, 16 days 450.6
TCGA-F4-6808-01A 54 years, female, white, stage:Stage I, alive, 1024 days 445.3
TCGA-G4-6307-01A 37 years, female, white, stage:Stage IIIB, alive, 1674 days 443.7
TCGA-NH-A8F8-01A 79 years, male, black or african american, stage:Stage IV, dead, 511 days 443.0
TCGA-D5-6927-01A 34 years, male, white, stage:Stage IIA, alive, 287 days 441.0
TCGA-AZ-6608-01A 55 years, female, white, stage:Stage IIIA, dead, 59 days 438.2
TCGA-CK-4950-01A 68 years, female, black or african american, stage:Stage IIIB, alive, 2599 days 437.8
TCGA-A6-5665-01A 84 years, female, white, stage:Stage IIA, alive, 671 days 436.8
TCGA-SS-A7HO-01A 44 years, female, black or african american, stage:Stage IIB, alive, 1829 days 436.6
TCGA-A6-3810-01A 62 years, male, white, stage:Stage IIA, alive, 1111 days 436.0
TCGA-A6-5667-01A 40 years, female, white, stage:Stage IIIB, alive, 887 days 428.5
TCGA-AZ-6606-01A 81 years, male, white, stage:Stage IV, dead, 357 days 426.7
TCGA-F4-6809-01A 52 years, female, white, stage:Stage IVA, dead, 403 days 426.5
TCGA-AD-6890-01A 65 years, male, white, stage:'--, alive, 746 days 424.6
TCGA-QL-A97D-01A 84 years, female, black or african american, stage:Stage I, alive, 666 days 423.7
TCGA-QG-A5YV-01A 64 years, female, black or african american, stage:Stage IIIC, alive, 1301 days 419.4
TCGA-G4-6588-01A 58 years, female, white, stage:Stage IIA, alive, 796 days 418.1
TCGA-G4-6304-01A 66 years, female, white, stage:Stage IIB, alive, 1631 days 416.6
TCGA-G4-6311-01A 80 years, male, white, stage:Stage III, alive, 1199 days 414.9
TCGA-AD-6888-01A 73 years, male, white, stage:Stage IIIB, dead, 472 days 414.5
TCGA-DM-A1DA-01A 71 years, female, white, stage:Stage IIIC, dead, 228 days 412.2
TCGA-AA-A02Y-01A 73 years, male, stage:Stage I, alive, 1216 days 411.0
TCGA-4T-AA8H-01A 42 years, female, black or african american, stage:Stage IIA, alive, 385 days 409.9
TCGA-CM-6166-01A 48 years, female, white, stage:Stage I, alive, 669 days 408.6
TCGA-5M-AATE-01A 76 years, male, black or african american, stage:Stage IIA, alive, 1200 days 408.3
TCGA-D5-6898-01A 51 years, female, white, stage:Stage I, alive, 229 days 408.2
TCGA-A6-6650-01A 69 years, female, black or african american, stage:Stage IIA, alive, 627 days 408.0
TCGA-CA-6715-01A 63 years, male, asian, stage:Stage IIIB, alive, 383 days 407.3
TCGA-AZ-5403-01A 43 years, male, white, stage:Stage II, dead, 1910 days 406.4
TCGA-CM-6170-01A 73 years, female, white, stage:Stage I, alive, 457 days 405.1
TCGA-CM-4744-01A 69 years, male, white, stage:Stage I, alive, 609 days 404.4
TCGA-AZ-6599-01A 72 years, male, white, stage:Stage I, dead, 206 days 396.4
TCGA-DM-A280-01A 70 years, female, white, stage:Stage IIA, dead, 236 days 393.9
TCGA-A6-6652-01A 59 years, male, black or african american, stage:Stage IVA, alive, 751 days 392.5
TCGA-CM-5868-01A 59 years, female, white, stage:Stage IVA, alive, 518 days 392.5
TCGA-AD-6899-01A 84 years, male, white, stage:Stage IIIC, dead, 176 days 391.5
TCGA-NH-A6GC-01A 66 years, female, black or african american, stage:Stage IVB, alive, 389 days 387.4
TCGA-AM-5820-01A 59 years, female, white, stage:Stage IVA, alive, 14 days 385.0
TCGA-CM-6172-01A 70 years, female, white, stage:Stage IIIB, alive, 335 days 383.6
TCGA-AY-A71X-01A 54 years, female, black or african american, stage:Stage I, alive, 588 days 383.1
TCGA-D5-6532-01A 61 years, male, white, stage:Stage IIA, alive, 555 days 381.1
TCGA-DM-A1D8-01A 50 years, female, white, stage:'--, dead, 383 days 380.2
TCGA-CA-6716-01A 65 years, male, asian, stage:Stage IIA, alive, 371 days 380.0
TCGA-D5-6929-01A 49 years, female, white, stage:Stage IV, alive, 408 days 376.9
TCGA-G4-6628-01A 78 years, male, white, stage:Stage I, alive, 2424 days 376.6
TCGA-F4-6856-01A 45 years, male, white, stage:Stage I, alive, 1074 days 374.2
TCGA-CM-6680-01A 78 years, female, white, stage:Stage IIIB, alive, 366 days 372.7
TCGA-D5-6536-01A 73 years, male, white, stage:Stage IIA, alive, 543 days 371.9
TCGA-DM-A1D9-01A 67 years, female, white, stage:Stage IIA, alive, 4270 days 371.5
TCGA-F4-6806-01A 59 years, female, white, stage:Stage I, alive, 1260 days 370.8
TCGA-CK-5912-01A 81 years, male, white, stage:Stage I, dead, 1493 days 370.3
TCGA-DM-A28E-01A 72 years, female, white, stage:Stage IIA, alive, 3648 days 368.4
TCGA-DM-A1D7-01A 82 years, male, white, stage:Stage IIA, dead, 405 days 366.5
TCGA-F4-6807-01A 51 years, female, white, stage:Stage IIIC, alive, 1309 days 366.4
TCGA-CK-6747-01A 87 years, female, white, stage:Stage IIA, alive, 820 days 365.7
TCGA-D5-6920-01A 77 years, female, white, stage:Stage IIA, alive, 377 days 365.1
TCGA-DM-A1DB-01A 68 years, male, white, stage:Stage IIA, dead, 1348 days 363.8
TCGA-DM-A1HB-01A 75 years, male, white, stage:Stage IIIB, alive, 4126 days 362.7
TCGA-A6-5660-01A 73 years, male, black or african american, stage:Stage IIIC, alive, 888 days 362.4
TCGA-G4-6293-01A 49 years, female, white, stage:Stage III, alive, 4051 days 362.3
TCGA-A6-6654-01A 65 years, female, white, stage:Stage IIIB, alive, 726 days 359.5
TCGA-CK-5914-01A 81 years, male, white, stage:Stage IIIB, alive, 669 days 358.9
TCGA-CM-6676-01A 82 years, male, white, stage:Stage I, alive, 337 days 357.3
TCGA-A6-6141-01A 31 years, male, black or african american, stage:Stage IIA, alive, 255 days 354.1
TCGA-AY-6197-01A 60 years, male, white, stage:Stage IIA, alive, 652 days 352.3
TCGA-F4-6460-01A 51 years, female, white, stage:Stage IIIB, dead, 972 days 351.6
TCGA-NH-A50V-01A 69 years, male, black or african american, stage:Stage IIIB, alive, 588 days 351.2
TCGA-G4-6306-01A 71 years, male, white, stage:'--, alive, 1359 days 348.7
TCGA-A6-5661-01A 80 years, female, black or african american, stage:Stage IIA, alive, 1020 days 348.6
TCGA-A6-6137-01A 55 years, male, white, stage:Stage IIIB, alive, 824 days 348.2
TCGA-AZ-6600-01A 64 years, male, black or african american, stage:Stage IV, dead, 368 days 348.1
TCGA-AY-6386-01A 66 years, female, black or african american, stage:Stage IIIB, alive, 542 days 347.9
TCGA-A6-6140-01A 62 years, male, white, stage:Stage IIA, alive, 734 days 346.4
TCGA-A6-6781-01A 43 years, male, white, stage:Stage IIIC, alive, 598 days 345.8
TCGA-G4-6625-01A 77 years, female, white, stage:Stage IIA, alive, 2792 days 345.6
TCGA-DM-A0XF-01A 68 years, female, white, stage:Stage IIIC, dead, 1162 days 342.3
TCGA-G4-6323-01A 50 years, male, black or african american, stage:Stage IA, alive, 419 days 341.2
TCGA-A6-4105-01A 79 years, male, white, stage:Stage IIA, dead, 442 days 339.7
TCGA-DM-A282-01A 60 years, female, white, stage:Stage IIA, alive, 4233 days 336.3
TCGA-F4-6459-01A 61 years, female, white, stage:Stage IIIB, dead, 262 days 335.3
TCGA-A6-6648-01A 56 years, male, white, stage:Stage IVA, alive, 766 days 333.1
TCGA-G4-6322-01A 65 years, male, white, stage:Stage IIIB, alive, 792 days 332.5
TCGA-AD-6889-01A 76 years, male, asian, stage:Stage IIA, dead, 2532 days 330.2
TCGA-CM-5862-01A 80 years, male, white, stage:Stage IVA, dead, 153 days 329.7
TCGA-CK-6748-01A 45 years, female, white, stage:Stage IV, alive, 61 days 328.7
TCGA-CK-6751-01A 88 years, female, white, stage:Stage I, alive, 518 days 327.2
TCGA-D5-6922-01A 76 years, male, white, stage:Stage IIIA, alive, 308 days 326.2
TCGA-CM-6161-01A 36 years, female, white, stage:Stage I, alive, 457 days 325.7
TCGA-AD-6964-01A 58 years, male, white, stage:'--, dead, 331 days 324.4
TCGA-AA-3662-01A 80 years, female, stage:Stage IV, alive, 184 days 322.9
TCGA-AD-6895-01A 84 years, male, white, stage:Stage IIIB, alive, 763 days 322.1
TCGA-G4-6309-01A 40 years, female, black or african american, stage:Stage IIIB, alive, 2600 days 321.8
TCGA-3L-AA1B-01A 61 years, female, black or african american, stage:Stage I, alive, 475 days 321.2
TCGA-A6-6138-01A 61 years, male, white, stage:Stage I, alive, 685 days 320.1
TCGA-NH-A6GB-01A 71 years, female, black or african american, stage:Stage IIIC, alive, 476 days 319.8
TCGA-A6-5656-01A 74 years, male, white, stage:Stage I, alive, 1001 days 319.0
TCGA-CM-6675-01A 35 years, male, black or african american, stage:Stage IVB, alive, 397 days 317.8
TCGA-D5-6930-01A 67 years, male, white, stage:Stage IIA, alive, 406 days 316.6
TCGA-AD-6965-01A 62 years, male, white, stage:Stage IIIC, alive, 805 days 315.0
TCGA-CM-5861-01A 63 years, female, white, stage:Stage IIA, alive, 457 days 314.9
TCGA-D5-6531-01A 75 years, male, white, stage:Stage IIA, alive, 540 days 314.6
TCGA-AD-A5EK-01A 51 years, male, black or african american, stage:Stage I, alive, 500 days 314.4
TCGA-CM-6163-01A 74 years, male, white, stage:Stage I, alive, 427 days 313.2
TCGA-D5-6926-01A 65 years, male, white, stage:Stage IIIB, alive, 275 days 312.7
TCGA-AZ-6603-01A 77 years, female, white, stage:'--, dead, 899 days 312.4
TCGA-CA-6718-01A 46 years, male, asian, stage:Stage IIA, dead, 306 days 312.0
TCGA-CM-6678-01A 63 years, female, white, stage:Stage IVA, alive, 335 days 309.9
TCGA-F4-6463-01A 51 years, male, white, stage:Stage IIA, alive, 1087 days 309.2
TCGA-CM-5349-01A 68 years, female, white, stage:Stage IIA, alive, 915 days 308.8
TCGA-5M-AAT6-01A 40 years, female, black or african american, stage:Stage IV, dead, 290 days 306.5
TCGA-A6-A567-01A 56 years, male, black or african american, stage:Stage IV, dead, 1881 days 306.2
TCGA-CM-4751-01A 62 years, male, white, stage:Stage IIIB, alive, 822 days 306.1
TCGA-CM-5864-01A 60 years, male, white, stage:Stage I, alive, 457 days 305.8
TCGA-DM-A28M-01A 63 years, male, white, stage:Stage IIA, alive, 2895 days 304.9
TCGA-WS-AB45-01A 52 years, female, black or african american, stage:Stage IIA, alive, 2130 days 303.9
TCGA-D5-6924-01A 68 years, male, white, stage:Stage IIA, alive, 435 days 303.7
TCGA-CK-5916-01A 71 years, female, white, stage:Stage I, dead, 643 days 302.9
TCGA-AA-3496-01A 83 years, female, stage:Stage II, alive, 31 days 302.8
TCGA-QG-A5Z2-01A 61 years, male, black or african american, stage:Stage I, alive, 952 days 301.9
TCGA-G4-6310-01A 69 years, male, white, stage:Stage IIIB, alive, 1935 days 301.8
TCGA-A6-6649-01A 66 years, male, white, stage:Stage IIIB, alive, 735 days 301.7
TCGA-A6-6142-01A 56 years, female, white, stage:Stage IVA, alive, 763 days 298.4
TCGA-CM-6679-01A 58 years, male, white, stage:Stage IIA, alive, 306 days 298.1
TCGA-CA-5254-01A 42 years, female, asian, stage:Stage IIA, alive, 386 days 297.2
TCGA-G4-6299-01A 69 years, male, white, stage:Stage IIIC, alive, 2268 days 295.8
TCGA-G4-6320-01A 73 years, male, white, stage:Stage III, alive, 804 days 293.6
TCGA-CM-6171-01A 77 years, female, white, stage:Stage I, alive, 427 days 292.8
TCGA-G4-6321-01A 60 years, female, white, stage:Stage III, alive, 672 days 290.2
TCGA-DM-A1D6-01A 88 years, male, white, stage:Stage IIA, dead, 570 days 288.8
TCGA-CM-6674-01A 39 years, male, white, stage:Stage IIA, alive, 394 days 287.0
TCGA-A6-5657-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 962 days 286.3
TCGA-D5-6923-01A 57 years, male, white, stage:Stage I, alive, 378 days 281.9
TCGA-D5-6539-01A 45 years, female, white, stage:'--, alive, 380 days 280.7
TCGA-AU-6004-01A 69 years, female, white, stage:Stage I, alive, 824 days 278.2
TCGA-D5-7000-01A 79 years, female, white, stage:Stage I, alive, 312 days 276.8
TCGA-D5-6529-01A 69 years, male, white, stage:Stage IIA, alive, 614 days 273.9
TCGA-CM-6167-01A 57 years, female, black or african american, stage:Stage IIIC, alive, 456 days 270.3
TCGA-F4-6461-01A 41 years, female, white, stage:Stage IIIC, dead, 338 days 269.3
TCGA-DM-A28G-01A 75 years, male, white, stage:Stage IIA, dead, 1849 days 268.3
TCGA-DM-A0X9-01A 71 years, female, white, stage:Stage IIA, alive, 3641 days 267.0
TCGA-DM-A285-01A 71 years, female, white, stage:Stage IV, dead, 179 days 266.8
TCGA-CA-6719-01A 77 years, male, asian, stage:Stage IIA, alive, 435 days 266.4
TCGA-AD-6901-01A 78 years, male, white, stage:'--, dead, 682 days 265.8
TCGA-D5-6530-01A 53 years, male, white, stage:Stage I, alive, 621 days 265.5
TCGA-DM-A0XD-01A 65 years, male, white, stage:Stage IIA, dead, 743 days 264.2
TCGA-CM-6165-01A 74 years, male, white, stage:Stage IIA, alive, 488 days 264.2
TCGA-F4-6570-01A 78 years, female, white, stage:Stage IIA, dead, 188 days 263.3
TCGA-CM-6168-01A 84 years, female, black or african american, stage:Stage IIA, alive, 395 days 258.4
TCGA-F4-6855-01A 70 years, female, white, stage:Stage IIA, alive, 1442 days 258.1
TCGA-D5-6540-01A 66 years, male, white, stage:Stage I, alive, 491 days 256.0
TCGA-AA-3511-01A 64 years, male, stage:Stage II, alive, 212 days 254.9
TCGA-DM-A1D4-01A 80 years, male, white, stage:Stage IIA, dead, 2821 days 252.5
TCGA-A6-6782-01A 82 years, male, white, stage:Stage IIB, alive, 617 days 252.1
TCGA-DM-A288-01A 68 years, male, white, stage:Stage IIIC, dead, 427 days 252.0
TCGA-D5-5538-01A 60 years, female, white, stage:Stage IIIB, dead, 1661 days 251.9
TCGA-G4-6297-01A 55 years, female, white, stage:Stage IV, alive, 2506 days 249.1
TCGA-D5-6534-01A 62 years, female, white, stage:Stage IIA, alive, 1316 days 247.3
TCGA-G4-6303-01A 54 years, female, white, stage:Stage IV, dead, 2003 days 246.5
TCGA-G4-6314-01A 76 years, female, white, stage:Stage IV, alive, 1093 days 246.2
TCGA-CK-5913-01A 58 years, female, white, stage:Stage IIA, alive, 1561 days 245.9
TCGA-DM-A28H-01A 50 years, male, white, stage:Stage IIIC, alive, 3561 days 245.1
TCGA-CA-6717-01A 57 years, male, asian, stage:Stage IIA, alive, 388 days 244.4
TCGA-D5-6538-01A 79 years, female, white, stage:Stage IIIB, alive, 521 days 243.6
TCGA-DM-A28K-01A 75 years, male, white, stage:Stage IIA, alive, 2988 days 240.6
TCGA-AZ-6605-01A 77 years, male, white, stage:Stage IIIB, dead, 159 days 236.5
TCGA-CA-5797-01A 56 years, male, asian, stage:Stage IIA, alive, 383 days 234.7
TCGA-QG-A5Z1-01A 71 years, male, black or african american, stage:Stage IIIB, dead, 256 days 233.5
TCGA-AA-3655-01A 68 years, male, stage:Stage II, alive, 1856 days 232.1
TCGA-CM-5863-01A 60 years, female, white, stage:Stage IIIB, alive, 457 days 231.1
TCGA-CM-5860-01A 44 years, male, white, stage:Stage IIA, alive, 974 days 230.6
TCGA-D5-6541-01A 49 years, male, white, stage:Stage IIA, alive, 474 days 228.8
TCGA-AA-3713-01A 68 years, male, stage:Stage IV, alive, 579 days 228.7
TCGA-A6-2675-01A 78 years, male, white, stage:Stage IIA, alive, 1321 days 224.1
TCGA-CA-5255-01A 45 years, male, asian, stage:Stage IIA, alive, 376 days 223.8
TCGA-D5-6931-01A 77 years, male, white, stage:Stage IIIC, alive, 365 days 222.8
TCGA-D5-5539-01A 60 years, male, white, stage:Stage IIIA, alive, 596 days 220.4
TCGA-G4-6627-01A 84 years, male, white, stage:Stage IIA, alive, 2175 days 217.1
TCGA-AD-5900-01A 67 years, male, white, stage:Stage I, alive, 370 days 216.1
TCGA-AD-6548-01A 81 years, female, white, stage:Stage I, alive, 650 days 215.0
TCGA-CM-6162-01A 48 years, female, white, stage:Stage IIIB, alive, 365 days 211.3
TCGA-CK-4952-01A 48 years, female, white, stage:Stage IIIC, alive, 475 days 210.5
TCGA-A6-2674-01A 71 years, male, white, stage:Stage IV, alive, 1331 days 204.8
TCGA-F4-6569-01A 60 years, male, white, stage:Stage I, alive, 1087 days 204.2
TCGA-D5-6928-01A 80 years, male, white, stage:Stage IIA, alive, 354 days 203.0
TCGA-A6-5659-01A 82 years, male, white, stage:Stage I, alive, 926 days 197.6
TCGA-A6-A565-01A 34 years, female, black or african american, stage:Stage IIIC, dead, 494 days 196.0
TCGA-AY-A54L-01A 74 years, female, black or african american, stage:Stage I, alive, 525 days 195.7
TCGA-AM-5821-01A 68 years, female, white, stage:Stage IIA, alive, 28 days 190.7
TCGA-A6-5664-01A 80 years, male, black or african american, stage:Stage IIIC, alive, 672 days 188.7
TCGA-F4-6703-01A 64 years, male, white, stage:Stage IIA, alive, 1456 days 187.7
TCGA-AZ-4323-01A 37 years, male, white, stage:Stage IV, dead, 43 days 186.4
TCGA-AA-3660-01A 51 years, female, stage:Stage II, alive, 2375 days 185.9
TCGA-A6-3809-01A 71 years, female, white, stage:Stage IIB, alive, 996 days 185.7
TCGA-F4-6805-01A 58 years, female, white, stage:Stage IIA, alive, 1047 days 184.1
TCGA-A6-6651-01A 55 years, female, white, stage:Stage IIIB, alive, 662 days 183.3
TCGA-CM-6169-01A 67 years, male, black or african american, stage:Stage IIA, alive, 396 days 182.1
TCGA-CM-5348-01A 72 years, male, white, stage:Stage IIIB, alive, 699 days 180.5
TCGA-AZ-6607-01A 69 years, male, white, stage:Stage IV, dead, 97 days 179.0
TCGA-G4-6294-01A 75 years, male, white, stage:Stage IV, dead, 858 days 178.6
TCGA-AZ-6598-01A 77 years, female, white, stage:Stage II, dead, 1503 days 174.5
TCGA-A6-A566-01A 55 years, female, black or african american, stage:Stage IIIB, dead, 758 days 172.8
TCGA-AA-3489-01A 75 years, male, stage:Stage II, dead, 214 days 158.3
TCGA-A6-A5ZU-01A 59 years, male, black or african american, stage:Stage IIIB, alive, 293 days 155.3
TCGA-F4-6704-01A 60 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days 136.1
TCGA-A6-A56B-01A 57 years, male, black or african american, stage:Stage IIIB, dead, 1711 days 126.7
TCGA-AY-6196-01A 47 years, male, white, stage:Stage IIIC, alive, 6 days 98.3
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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.

COX5B 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.

: 247.85
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 313.0
Number of samples 486
Samples
Sample Description pTPM
U2956 86 years, female, NA, stage:T3N0M0, alive, 540 days 779.8
U0203 77 years, male, NA, stage:T3N0M0, dead, 827 days 713.2
U2928 52 years, male, NA, stage:T2N0M0, alive, 563 days 664.1
U2979 73 years, male, NA, stage:T3N2M0, alive, 616 days 650.6
U3051 48 years, male, NA, stage:T3N2M0, alive, 415 days 629.5
U0394 65 years, male, NA, stage:T2N1M0, alive, 969 days 619.1
U3032 61 years, female, NA, stage:T3N1M0, alive, 449 days 608.5
U0389 64 years, female, NA, stage:T3N1M0, dead, 927 days 593.1
U3008 82 years, female, NA, stage:T2N0M0, alive, 473 days 571.6
U0186 73 years, female, NA, stage:T2N0M0, alive, 3726 days 555.3
U2942 74 years, male, NA, stage:T2N0M0, alive, 549 days 550.3
U3005 74 years, male, NA, stage:T3N0M0, alive, 478 days 530.1
U2798 68 years, male, NA, stage:T3N0M0, alive, 751 days 527.7
U0149 82 years, female, NA, stage:T3N2M0, alive, 1715 days 517.2
U3012 66 years, male, NA, stage:T3N0M0, alive, 472 days 516.4
U1447 57 years, male, NA, stage:T4N1M0, alive, 988 days 515.0
U1041 81 years, male, NA, stage:T2N0M0, alive, 1108 days 514.9
U0217 76 years, female, NA, stage:T3N0M0, dead, 538 days 512.0
U2995 81 years, female, NA, stage:T3N1M0, alive, 491 days 511.2
U2747 85 years, female, NA, stage:T4N1M0, dead, 54 days 496.1
U0181 74 years, female, NA, stage:T1N0M0, alive, 3623 days 492.5
U0949 84 years, female, NA, stage:T3N0M1, dead, 594 days 481.5
U0063 95 years, male, NA, stage:T1N0M0, dead, 1779 days 478.9
U0323 69 years, male, NA, stage:T2N0M0, dead, 1016 days 476.8
U3034 64 years, female, NA, stage:T3N1M0, alive, 443 days 476.2
U1392 61 years, male, NA, stage:T3N0M0, alive, 1513 days 475.9
U1301 66 years, female, NA, stage:T4N2M0, dead, 877 days 471.5
U1095 76 years, female, NA, stage:T3N1M1, alive, 2425 days 471.0
U0103 88 years, female, NA, stage:T3N1M0, alive, 1197 days 467.5
U0165 81 years, female, NA, stage:T2N0M0, alive, 1702 days 459.6
U0404 57 years, female, NA, stage:T3N2M0, dead, 204 days 456.4
U0335 65 years, female, NA, stage:T3N1M0, alive, 2464 days 453.8
U0104 87 years, female, NA, stage:T4N0M0, dead, 1639 days 450.5
U2953 55 years, female, NA, stage:T4aN0M0, alive, 541 days 448.6
U1040 83 years, male, NA, stage:T2N0M0, alive, 1029 days 447.9
U2856 71 years, female, NA, stage:T4N1M1, alive, 660 days 447.0
U3022 77 years, male, NA, stage:T2N0M0, alive, 484 days 446.9
U1303 66 years, male, NA, stage:T4N1M0, alive, 2283 days 445.4
U0231 77 years, female, NA, stage:T2N0M0, alive, 991 days 438.8
U1321 65 years, male, NA, stage:T3N1M0, alive, 2578 days 438.5
U1102 77 years, male, NA, stage:T2N0M0, alive, 1354 days 435.9
U0067 92 years, female, NA, stage:T3N0M0, alive, 2180 days 434.5
U1047 75 years, female, NA, stage:T4N2M0, alive, 3592 days 433.0
U0387 65 years, male, NA, stage:T2N0M0, alive, 1327 days 432.7
U2948 74 years, female, NA, stage:T3N1M0, alive, 543 days 431.8
U1291 68 years, female, NA, stage:T3N0M0, alive, 2000 days 430.4
U3050 61 years, female, NA, stage:T3N0M0, alive, 407 days 429.1
U0464 49 years, male, NA, stage:T3N0M0, alive, 918 days 428.8
U0098 84 years, male, NA, stage:T3N0M0, dead, 2473 days 427.6
U1155 75 years, male, NA, stage:T4N1M0, alive, 1815 days 426.1
U1032 80 years, male, NA, stage:T3N1M0, alive, 2113 days 425.7
U0179 75 years, male, NA, stage:T3N1M0, dead, 1043 days 425.1
U2971 62 years, male, NA, stage:T4aN0M0, alive, 629 days 424.7
U1122 75 years, female, NA, stage:T3N2M0, alive, 1675 days 424.2
U0215 77 years, male, NA, stage:T3N0M0, alive, 1269 days 423.8
U0970 86 years, female, NA, stage:T4N1M0, alive, 939 days 423.2
U0392 64 years, male, NA, stage:T3N2M0, alive, 489 days 422.4
U0414 60 years, male, NA, stage:T3N0M0, alive, 1691 days 419.9
U1158 76 years, female, NA, stage:T3N1M0, alive, 721 days 419.6
U0352 62 years, female, NA, stage:T4N2M0, dead, 385 days 418.8
U0328 66 years, male, NA, stage:T4N0M0, dead, 1362 days 418.1
U1366 63 years, male, NA, stage:T3N1M0, alive, 2010 days 417.0
U0302 73 years, male, NA, stage:T1N0M0, alive, 892 days 416.1
U2843 89 years, female, NA, stage:T3N0M0, alive, 674 days 414.2
U3043 68 years, female, NA, stage:T3N2M0, alive, 287 days 414.2
U0191 80 years, male, NA, stage:T3N1M0, alive, 900 days 413.4
U0413 61 years, male, NA, stage:T2N0M0, alive, 1228 days 413.4
U1162 73 years, male, NA, stage:T2N1M0, dead, 354 days 413.3
U0004 61 years, female, NA, stage:T4N0M0, alive, 3649 days 410.7
U0474 30 years, male, NA, stage:T3N1M0, alive, 1017 days 410.6
U0115 84 years, female, NA, stage:T3N0M0, dead, 1738 days 410.0
U0933 85 years, male, NA, stage:T3N2M0, dead, 1960 days 408.1
U0183 74 years, male, NA, stage:T3N1M1, dead, 2957 days 407.7
U3024 76 years, female, NA, stage:T3N0M0, alive, 463 days 406.4
U0236 72 years, male, NA, stage:T3N1M0, alive, 1842 days 405.8
U2837 76 years, female, NA, stage:T4N1M0, alive, 681 days 404.5
U0898 90 years, female, NA, stage:T4aN0M0, dead, 340 days 402.8
U0260 69 years, male, NA, stage:T1N0M1, alive, 2928 days 402.4
U0078 91 years, female, NA, stage:T3N0M0, alive, 1183 days 400.8
U1017 82 years, male, NA, stage:T3N0M0, alive, 615 days 400.3
U2959 63 years, male, NA, stage:T3N2M0, alive, 536 days 399.8
U0263 69 years, female, NA, stage:T3N0M1, alive, 362 days 399.6
U1421 59 years, female, NA, stage:T3N1M0, alive, 1905 days 398.7
U0141 81 years, male, NA, stage:T3N2M0, alive, 2079 days 396.7
U1241 70 years, male, NA, stage:T3N1M0, dead, 49 days 395.1
U1474 45 years, female, NA, stage:T1N0MX, alive, 2012 days 394.3
U0977 84 years, female, NA, stage:T4N2M0, dead, 140 days 393.4
U0363 61 years, male, NA, stage:T3N1M0, alive, 3601 days 392.2
U0390 64 years, male, NA, stage:T3N1M0, alive, 871 days 391.5
U0105 82 years, female, NA, stage:T2N0M0, dead, 2158 days 390.8
U0397 62 years, male, NA, stage:T4N0M0, alive, 1663 days 389.8
U0358 64 years, female, NA, stage:T4N1M0, alive, 2290 days 388.4
U0082 85 years, female, NA, stage:T3N1M0, dead, 2339 days 388.1
U0170 77 years, male, NA, stage:T4N1M0, dead, 832 days 387.8
U0348 69 years, female, NA, stage:T3N0M0, alive, 533 days 386.7
U0195 73 years, male, NA, stage:T3N0M0, alive, 3326 days 386.3
U1448 53 years, male, NA, stage:T3N0M1, dead, 1512 days 386.0
U0225 77 years, male, NA, stage:T3N1M0, alive, 581 days 385.5
U0207 73 years, female, NA, stage:T3N0M0, dead, 2593 days 384.2
U2782 79 years, male, NA, stage:T3N1M1, alive, 773 days 380.1
U1304 69 years, female, NA, stage:TXNXM0, alive, 1081 days 379.4
U3029 84 years, male, NA, stage:T2N0M0, alive, 475 days 379.2
U1204 71 years, male, NA, stage:T4N2M0, alive, 2214 days 378.6
U0136 79 years, female, NA, stage:T3N0M0, dead, 2795 days 376.5
U0254 75 years, female, NA, stage:T3N1M0, alive, 659 days 376.1
U2999 79 years, female, NA, stage:T2N0M0, alive, 581 days 374.7
U0966 84 years, male, NA, stage:T4N0M0, dead, 1513 days 374.4
U2803 66 years, male, NA, stage:T3N1M0, alive, 744 days 373.6
U0268 67 years, male, NA, stage:T3N0M0, alive, 2978 days 373.0
U0361 63 years, male, NA, stage:T3N0M0, alive, 686 days 371.1
U1343 62 years, female, NA, stage:T4N2M0, alive, 3178 days 370.8
U0976 82 years, female, NA, stage:T3N2M0, dead, 97 days 369.2
U1436 56 years, female, NA, stage:T3N0M0, alive, 1745 days 368.7
U0199 78 years, female, NA, stage:T4N2M0, alive, 1372 days 368.6
U1074 77 years, male, NA, stage:T3N0M0, dead, 1043 days 368.3
U0368 67 years, male, NA, stage:T2N0M0, alive, 801 days 368.1
U0950 86 years, female, NA, stage:T4N1M0, alive, 1834 days 368.0
U2780 75 years, male, NA, stage:T3N0M0, alive, 778 days 367.4
U2819 86 years, female, NA, stage:T3N0M0, alive, 708 days 367.2
U2935 70 years, male, NA, stage:T4N1M0, alive, 555 days 366.2
U3000 69 years, female, NA, stage:T3N0M0, alive, 584 days 364.7
U0244 69 years, female, NA, stage:T3N1M0, alive, 3184 days 364.5
U0239 76 years, male, NA, stage:T2N0M0, alive, 67 days 364.1
U2774 66 years, female, NA, stage:T3N0M0, alive, 783 days 363.0
U2958 84 years, female, NA, stage:T1N0M0, alive, 536 days 362.6
U0439 56 years, male, NA, stage:T3N1M0, alive, 1418 days 360.9
U0112 86 years, female, NA, stage:T3N0M1, alive, 551 days 360.6
U2815 82 years, female, NA, stage:T3N0M0, alive, 717 days 359.6
U0938 86 years, female, NA, stage:T3N0M0, dead, 1231 days 358.9
U2975 85 years, male, NA, stage:T4N1M0, alive, 514 days 358.7
U1386 62 years, male, NA, stage:T3N1M0, alive, 1518 days 358.6
U0384 64 years, male, NA, stage:T2N1M1, alive, 1024 days 358.0
U0134 82 years, male, NA, stage:T3N0M0, alive, 2009 days 356.1
U0117 83 years, female, NA, stage:T2N0M0, dead, 1078 days 355.9
U1208 74 years, female, NA, stage:T1N0M0, alive, 834 days 355.1
U0300 71 years, male, NA, stage:T2N0M0, alive, 974 days 355.1
U3039 74 years, male, NA, stage:T4N1M1, dead, 366 days 354.0
U0292 71 years, male, NA, stage:T4N1M0, alive, 1666 days 353.8
U0354 69 years, male, NA, stage:T3N1M0, alive, 430 days 353.7
U0440 51 years, female, NA, stage:T4N0M0, dead, 2743 days 353.4
U0185 80 years, male, NA, stage:T1N0M0, alive, 1248 days 352.8
U0379 63 years, male, NA, stage:T2N0M0, alive, 1819 days 352.5
U0915 88 years, female, NA, stage:T3N0M0, alive, 1613 days 350.5
U0073 87 years, male, NA, stage:T4N0MX, dead, 318 days 350.2
U0908 89 years, female, NA, stage:T3N0M1, dead, 40 days 347.9
U0471 38 years, female, NA, stage:T3N1M0, alive, 1673 days 347.7
U2753 81 years, female, NA, stage:T2N0M0, alive, 813 days 347.4
U1130 78 years, male, NA, stage:T2N1M0, alive, 913 days 345.6
U3018 67 years, male, NA, stage:T4N1M0, alive, 463 days 344.8
U1251 69 years, male, NA, stage:T4N2M0, alive, 126 days 343.1
U2882 65 years, female, NA, stage:T3N1M0, alive, 637 days 343.0
U0107 82 years, male, NA, stage:T3N0M0, dead, 2354 days 342.7
U3100 89 years, male, NA, stage:T3N1M0, dead, 1608 days 342.3
U1188 72 years, female, NA, stage:T3N0M0, dead, 967 days 341.7
U1078 80 years, female, NA, stage:T3N0M0, alive, 1016 days 341.3
U0099 85 years, female, NA, stage:T3N0M0, dead, 986 days 341.0
U0967 84 years, male, NA, stage:T2N0M0, dead, 1691 days 340.2
U0110 87 years, female, NA, stage:T3N1M1, dead, 878 days 338.6
U0234 75 years, male, NA, stage:T1N1M0, alive, 990 days 338.4
U0396 59 years, male, NA, stage:T4N2M0, alive, 2243 days 336.7
U3122 85 years, female, NA, stage:T3N0M1, dead, 91 days 336.3
U0002 82 years, female, NA, stage:T3N2M0, alive, 3691 days 335.9
U1049 82 years, female, NA, stage:T3N1M0, alive, 1200 days 335.8
U0290 72 years, male, NA, stage:T4N2M0, dead, 593 days 335.6
U0240 75 years, female, NA, stage:T3N1M0, dead, 800 days 334.4
U1213 73 years, female, NA, stage:T2N0M0, alive, 560 days 333.0
U0109 82 years, female, NA, stage:T4N2M1, alive, 144 days 332.5
U1072 80 years, male, NA, stage:T1N0M0, alive, 1446 days 331.9
U1060 78 years, male, NA, stage:T3N0M0, alive, 2442 days 331.9
U0441 50 years, female, NA, stage:T2N1M0, alive, 2738 days 331.9
U0111 88 years, male, NA, stage:T2N0M0, alive, 1117 days 331.7
U0270 70 years, female, NA, stage:T1N0M0, alive, 2187 days 331.6
U0473 33 years, male, NA, stage:T3N1M0, alive, 786 days 329.5
U0222 72 years, female, NA, stage:T3N2M1, alive, 1779 days 328.9
U0350 68 years, female, NA, stage:T4N0M0, alive, 770 days 328.6
U1013 82 years, female, NA, stage:T2N1M0, alive, 1439 days 327.7
U2792 68 years, male, NA, stage:T2N1M0, alive, 758 days 327.0
U0456 46 years, male, NA, stage:T4N0M0, dead, 2222 days 326.7
U0446 53 years, male, NA, stage:T2N0M0, alive, 1446 days 326.3
U0987 82 years, female, NA, stage:T3N0M0, alive, 2482 days 326.2
U1228 71 years, male, NA, stage:T3N0M0, alive, 1333 days 326.2
U0455 47 years, female, NA, stage:T3N2M0, alive, 2445 days 325.2
U0356 68 years, male, NA, stage:T4N1M0, alive, 536 days 325.1
U0167 79 years, male, NA, stage:T3N1M0, alive, 1820 days 324.9
U0342 68 years, male, NA, stage:T4N2M0, alive, 305 days 324.6
U0257 69 years, male, NA, stage:T3N1M0, dead, 2508 days 324.4
U0072 88 years, male, NA, stage:T3N0M0, alive, 2772 days 324.2
U1473 46 years, female, NA, stage:T3N0M0, alive, 1553 days 322.9
U2927 51 years, male, NA, stage:T3N1M0, alive, 564 days 322.7
U0307 65 years, male, NA, stage:T3N0M0, alive, 2921 days 322.1
U1396 62 years, female, NA, stage:T4N0M0, alive, 1168 days 322.0
U0122 85 years, female, NA, stage:T2N0M0, dead, 159 days 321.9
U1486 39 years, female, NA, stage:T4N0M0, alive, 1606 days 321.5
U0163 81 years, male, NA, stage:T4N0M0, alive, 697 days 320.6
U1239 69 years, male, NA, stage:T2N0M0, dead, 1998 days 320.5
U0224 72 years, female, NA, stage:T3N0M0, alive, 2367 days 320.1
U0280 68 years, male, NA, stage:T3N1M1, alive, 2731 days 319.5
U0288 72 years, male, NA, stage:T1N0M0, alive, 1513 days 319.5
U0429 58 years, female, NA, stage:T3N0M1, alive, 1099 days 319.2
U0451 47 years, female, NA, stage:T4N2M0, alive, 3023 days 318.8
U0198 77 years, male, NA, stage:T3N1M0, alive, 1272 days 318.2
U0250 74 years, female, NA, stage:T4N0M0, dead, 906 days 317.9
U1429 58 years, female, NA, stage:T3N0M0, alive, 1660 days 317.0
U0129 82 years, male, NA, stage:T4N0M0, dead, 1265 days 316.1
U0262 69 years, female, NA, stage:T2N0M0, alive, 2534 days 315.5
U1374 66 years, male, NA, stage:T4N0M0, alive, 827 days 314.3
U1276 66 years, male, NA, stage:T3N0M0, alive, 2474 days 314.1
U0182 79 years, female, NA, stage:T4N1M0, dead, 260 days 313.9
U0589 56 years, female, NA, stage:T3N0M0, alive, 1176 days 313.1
U0332 66 years, female, NA, stage:T3N0M0, alive, 2101 days 312.0
U2947 77 years, female, NA, stage:T3N0M0, alive, 543 days 311.8
U0460 43 years, female, NA, stage:T3N0M0, dead, 2069 days 311.2
U2848 67 years, female, NA, stage:T4N2M0, alive, 669 days 310.3
U3048 57 years, male, NA, stage:T4N2M0, alive, 535 days 310.2
U0069 94 years, female, NA, stage:T4N2M0, dead, 135 days 309.7
U1472 47 years, female, NA, stage:T3N1M0, alive, 1316 days 309.6
U0411 59 years, female, NA, stage:T3N1M0, alive, 1868 days 309.5
U1253 68 years, female, NA, stage:T3N0M0, dead, 165 days 309.4
U0106 82 years, female, NA, stage:T3N1M0, dead, 653 days 308.7
U1401 60 years, female, NA, stage:T3N0M0, alive, 1482 days 308.4
U3030 77 years, female, NA, stage:T3N0M0, alive, 380 days 307.5
U0275 69 years, female, NA, stage:T3N2M0, alive, 549 days 307.5
U1258 70 years, male, NA, stage:T3N1M0, alive, 1373 days 307.2
U0447 51 years, male, NA, stage:T4N1M0, dead, 1819 days 306.7
U0340 69 years, female, NA, stage:T4N2M1, dead, 438 days 306.5
U1129 74 years, male, NA, stage:T3N0M0, dead, 118 days 306.2
U1344 65 years, female, NA, stage:T3N1M0, alive, 1450 days 306.1
U3038 82 years, male, NA, stage:T3N0M0, alive, 328 days 306.0
U1454 54 years, female, NA, stage:T3N0M0, alive, 393 days 305.4
U1235 71 years, female, NA, stage:T2N0M0, alive, 1319 days 305.1
U0336 68 years, female, NA, stage:T3N0M0, alive, 1100 days 304.8
U0162 82 years, female, NA, stage:T3N0M0, alive, 1488 days 304.3
U1369 63 years, male, NA, stage:T3N0M0, dead, 1604 days 303.7
U1346 66 years, female, NA, stage:T3N0M0, alive, 1137 days 303.7
U2754 81 years, male, NA, stage:T4N0M0, alive, 809 days 303.5
U0378 66 years, female, NA, stage:T4N1M0, dead, 815 days 302.9
U0317 64 years, female, NA, stage:T3N2M0, alive, 3209 days 302.5
U0274 70 years, male, NA, stage:T3N0M0, dead, 1570 days 301.6
U0208 76 years, female, NA, stage:T3N1M0, dead, 1233 days 301.4
U0367 61 years, female, NA, stage:T3N1M0, alive, 3075 days 301.2
U0427 59 years, male, NA, stage:T2N0M0, alive, 1193 days 301.1
U0253 74 years, female, NA, stage:T3N0M0, alive, 958 days 301.1
U0171 78 years, female, NA, stage:T3N1M0, dead, 1920 days 300.1
U0428 60 years, male, NA, stage:T4N1M1, alive, 1016 days 300.0
U1252 70 years, female, NA, stage:T4N2M0, alive, 1309 days 299.6
U1160 74 years, male, NA, stage:T3N1M0, alive, 1557 days 298.4
U0370 67 years, female, NA, stage:T3N0M0, alive, 1047 days 298.1
U0435 52 years, female, NA, stage:T2N0M0, alive, 3616 days 297.3
U1069 77 years, female, NA, stage:T3N0M0, dead, 2187 days 296.6
U2981 74 years, male, NA, stage:T3N0M0, alive, 508 days 296.1
U0408 56 years, female, NA, stage:T4N0M0, dead, 2100 days 296.0
U1250 70 years, male, NA, stage:T2N0M0, alive, 597 days 295.7
U0166 82 years, female, NA, stage:T3N0M0, alive, 763 days 295.6
U1147 73 years, male, NA, stage:T3N0M0, dead, 282 days 295.5
U1257 71 years, male, NA, stage:T3N0M0, alive, 833 days 294.0
U3037 63 years, male, NA, stage:T3N1M0, alive, 405 days 293.5
U0344 69 years, male, NA, stage:T2N1M0, dead, 818 days 293.3
U0357 64 years, female, NA, stage:T3N0M0, alive, 2285 days 293.2
U1022 81 years, male, NA, stage:T4N2M0, dead, 61 days 293.2
U1094 79 years, female, NA, stage:T4N1M0, alive, 1267 days 292.6
U0121 86 years, male, NA, stage:T4N2M0, alive, 655 days 292.5
U0091 90 years, male, NA, stage:T3N0M0, alive, 520 days 291.7
U0444 52 years, female, NA, stage:T4N1M0, alive, 1841 days 291.4
U0309 68 years, female, NA, stage:T3N0M0, dead, 1898 days 291.4
U0180 74 years, male, NA, stage:T3N0M1, dead, 965 days 289.6
U0467 38 years, female, NA, stage:T3N0M0, alive, 1848 days 289.5
U0075 88 years, male, NA, stage:T3N0M0, dead, 3 days 288.6
U0319 65 years, male, NA, stage:T3N0M0, alive, 2801 days 288.6
U0070 89 years, male, NA, stage:T1N0M0, dead, 1319 days 288.3
U2861 78 years, male, NA, stage:T3N0M0, alive, 652 days 288.0
U0102 87 years, female, NA, stage:T4N2M0, dead, 670 days 288.0
U0156 82 years, female, NA, stage:T4N1M0, alive, 1573 days 287.6
U0227 72 years, female, NA, stage:T4N2M0, alive, 291 days 287.6
U0327 70 years, male, NA, stage:T4N0M0, alive, 833 days 287.4
U0972 83 years, female, NA, stage:T1N0M0, alive, 2473 days 287.3
U0937 86 years, male, NA, stage:T2N0M0, dead, 1558 days 286.8
U1212 74 years, female, NA, stage:T2N0M0, alive, 69 days 285.6
U1141 71 years, female, NA, stage:T4N1M1, dead, 596 days 284.7
U0101 84 years, male, NA, stage:T3N1M1, alive, 1878 days 284.7
U2889 77 years, male, NA, stage:T4N0M0, alive, 623 days 283.6
U3025 68 years, male, NA, stage:T4N2M1, alive, 377 days 283.1
U0303 67 years, female, NA, stage:T3N0M0, alive, 2847 days 282.8
U0256 74 years, male, NA, stage:T3N0M0, alive, 738 days 282.2
U0142 80 years, female, NA, stage:T4N1M0, alive, 2340 days 282.0
U1062 78 years, female, NA, stage:T4N0M0, alive, 1689 days 282.0
U0991 83 years, male, NA, stage:T4N2M0, dead, 534 days 281.9
U0178 76 years, female, NA, stage:T3N1M0, dead, 2096 days 281.7
U0376 66 years, male, NA, stage:T2N1M0, alive, 965 days 281.4
U1274 69 years, male, NA, stage:T2N1M0, alive, 1198 days 280.8
U0399 63 years, female, NA, stage:T4N2M0, dead, 547 days 280.8
U0126 79 years, male, NA, stage:T3N0M0, dead, 2876 days 280.2
U0308 72 years, male, NA, stage:T4N1M0, alive, 1075 days 279.9
U0436 59 years, male, NA, stage:T4N1M1, alive, 960 days 279.3
U1267 65 years, male, NA, stage:T3N1M0, dead, 2869 days 278.9
U1338 67 years, female, NA, stage:T4N1M0, dead, 716 days 278.5
U0443 54 years, male, NA, stage:T3N0M0, alive, 1677 days 277.5
U0355 67 years, male, NA, stage:T4N1M0, dead, 1038 days 276.6
U0133 85 years, female, NA, stage:T3N0M0, alive, 773 days 276.6
U0459 49 years, female, NA, stage:T3N0M0, alive, 966 days 276.3
U0081 87 years, male, NA, stage:T3N2M0, dead, 248 days 275.6
U0385 65 years, male, NA, stage:T3N0M0, alive, 902 days 275.4
U0338 68 years, female, NA, stage:T3N0M0, alive, 1016 days 275.0
U0449 50 years, female, NA, stage:T3N0M0, alive, 1851 days 274.1
U1446 53 years, female, NA, stage:T3N0M0, alive, 2314 days 274.1
U2902 86 years, female, NA, stage:T2N0M0, alive, 596 days 273.9
U0127 80 years, female, NA, stage:T3N0M0, dead, 2753 days 273.6
U0362 66 years, male, NA, stage:T3N0M0, alive, 1148 days 273.5
U0426 59 years, male, NA, stage:T3N0M0, dead, 976 days 271.9
U2891 81 years, male, NA, stage:T3N1M0, alive, 619 days 271.6
U0381 60 years, male, NA, stage:T3N1M0, dead, 71 days 271.5
U0143 80 years, male, NA, stage:T3N2M0, alive, 2313 days 270.9
U0113 88 years, male, NA, stage:T4N2M0, alive, 1102 days 270.9
U0211 76 years, female, NA, stage:T3N1M0, alive, 1236 days 270.8
U0287 69 years, female, NA, stage:T2N0M0, alive, 1897 days 270.8
U0420 56 years, male, NA, stage:T4N1M1, alive, 417 days 270.6
U0465 43 years, male, NA, stage:T3N0M0, alive, 2383 days 270.3
U0382 61 years, female, NA, stage:T3N0M0, alive, 2550 days 270.3
U1044 76 years, male, NA, stage:T4N0M0, alive, 3146 days 270.2
U0318 71 years, male, NA, stage:T3N0M0, alive, 762 days 269.5
U1107 80 years, male, NA, stage:T3N0M0, alive, 329 days 269.3
U0386 60 years, female, NA, stage:T4N1M1, alive, 2592 days 269.0
U0314 67 years, female, NA, stage:T1N0M0, dead, 2436 days 269.0
U1292 69 years, female, NA, stage:T4N1M0, alive, 1147 days 269.0
U1065 75 years, female, NA, stage:T3N2M0, alive, 2954 days 268.9
U0172 78 years, male, NA, stage:T4N0M0, dead, 678 days 267.9
U1120 76 years, male, NA, stage:T4N1M1, alive, 823 days 267.4
U1432 60 years, female, NA, stage:T3N1M0, alive, 577 days 267.3
U2964 84 years, male, NA, stage:T3N1M0, alive, 637 days 267.2
U0333 66 years, female, NA, stage:T3N2M0, dead, 1959 days 266.6
U0090 85 years, female, NA, stage:T3N0M0, dead, 1258 days 266.2
U0445 51 years, female, NA, stage:T3N0M0, alive, 1851 days 265.6
U0202 73 years, male, NA, stage:T3N0M0, dead, 2670 days 265.5
U0373 64 years, female, NA, stage:T3N0M0, alive, 1822 days 265.4
U0297 67 years, female, NA, stage:T3N2M0, alive, 1196 days 264.8
U0152 82 years, male, NA, stage:T3N1M0, alive, 989 days 264.7
U1067 79 years, male, NA, stage:T3N0M0, alive, 1570 days 264.3
U1349 63 years, female, NA, stage:T3N1M0, alive, 1899 days 264.0
U0403 60 years, male, NA, stage:T3N1M1, dead, 1809 days 264.0
U0347 68 years, female, NA, stage:T4N1M1, alive, 628 days 263.5
U0416 61 years, male, NA, stage:T1N1M0, alive, 1228 days 262.8
U0108 84 years, female, NA, stage:T3N0M1, alive, 535 days 262.3
U2896 81 years, female, NA, stage:T3N1M0, alive, 609 days 262.0
U0326 64 years, female, NA, stage:T3N0M0, alive, 3178 days 261.9
U0285 69 years, female, NA, stage:T3N0M0, alive, 2165 days 260.9
U0590 75 years, female, NA, stage:T3N0M0, alive, 661 days 259.8
U0209 74 years, male, NA, stage:T3N1M0, alive, 2109 days 259.6
U1007 82 years, male, NA, stage:T3N0M0, alive, 1333 days 259.3
U0168 81 years, male, NA, stage:T3N0M0, dead, 948 days 258.9
U0273 68 years, male, NA, stage:T2N1M0, alive, 2641 days 257.6
U0229 70 years, female, NA, stage:TXN2M1, dead, 2115 days 257.1
U0161 78 years, male, NA, stage:T4N2M1, alive, 42 days 256.1
U1086 73 years, female, NA, stage:T1N0M0, alive, 2907 days 255.5
U1246 70 years, female, NA, stage:T3N0M0, alive, 1441 days 255.3
U0223 71 years, male, NA, stage:T4N1M0, alive, 1812 days 254.6
U0960 86 years, male, NA, stage:T3N0M0, alive, 1009 days 254.6
U0999 84 years, male, NA, stage:T3N2M0, alive, 860 days 254.5
U0123 83 years, male, NA, stage:T3N0M0, dead, 1880 days 254.1
U1114 76 years, female, NA, stage:TXNXM1, dead, 473 days 253.8
U0269 69 years, female, NA, stage:T3N0M0, alive, 2530 days 253.1
U1347 65 years, female, NA, stage:T3N0M0, alive, 1401 days 253.0
U0124 81 years, female, NA, stage:T1N0M0, alive, 2430 days 252.6
U0469 42 years, male, NA, stage:T3N0M0, dead, 409 days 252.4
U0462 45 years, female, NA, stage:T4N1M0, alive, 1017 days 251.7
U0154 83 years, male, NA, stage:T3N0M0, alive, 820 days 251.7
U0377 59 years, female, NA, stage:T3N2M0, alive, 3720 days 251.5
U0087 87 years, female, NA, stage:T3N2M0, dead, 337 days 251.1
U0158 76 years, male, NA, stage:T1N0M0, dead, 3101 days 250.7
U0448 46 years, male, NA, stage:T3N2M0, alive, 3615 days 250.7
U0315 65 years, female, NA, stage:T2N0M0, alive, 1973 days 250.6
U1201 72 years, male, NA, stage:T3N2M0, alive, 1484 days 249.7
U0438 53 years, female, NA, stage:T3N0M0, alive, 2009 days 248.4
U1240 70 years, male, NA, stage:T4N0M0, alive, 765 days 248.2
U0942 88 years, male, NA, stage:T3N0M0, alive, 665 days 247.9
U1352 61 years, male, NA, stage:T3N2M1, dead, 741 days 247.4
U0100 85 years, female, NA, stage:T3N0M0, dead, 1920 days 247.1
U0277 72 years, male, NA, stage:T2N1M0, alive, 270 days 246.9
U0144 84 years, male, NA, stage:T3N0M0, alive, 1218 days 246.7
U1145 74 years, female, NA, stage:T3N0M0, dead, 445 days 246.1
U0939 82 years, male, NA, stage:T3N1M0, alive, 2960 days 246.1
U1103 76 years, female, NA, stage:T4N2M0, alive, 975 days 246.1
U1031 80 years, male, NA, stage:T1N1M0, alive, 1625 days 246.0
U1111 76 years, female, NA, stage:T3N0M0, dead, 1631 days 245.7
U1034 80 years, male, NA, stage:T4N0M0, alive, 1575 days 245.6
U0084 86 years, male, NA, stage:T3N0M0, dead, 1662 days 245.1
U0369 66 years, female, NA, stage:T3N0M0, dead, 1095 days 244.8
U0066 93 years, male, NA, stage:T3N0M0, dead, 2486 days 244.7
U0204 78 years, male, NA, stage:T3N0M0, dead, 770 days 244.5
U0463 49 years, male, NA, stage:T3N0M0, alive, 946 days 244.4
U0177 81 years, female, NA, stage:T3N0M0, alive, 355 days 244.2
U0312 65 years, female, NA, stage:T4N2M1, alive, 499 days 243.8
U0233 71 years, female, NA, stage:T3N1M0, alive, 975 days 243.4
U0235 75 years, female, NA, stage:T3N0M0, alive, 1327 days 243.0
U0365 68 years, female, NA, stage:T4N1M0, dead, 313 days 241.9
U0095 86 years, male, NA, stage:T4N1M0, dead, 1034 days 240.9
U0259 68 years, female, NA, stage:T4N2M0, alive, 76 days 240.1
U0450 52 years, female, NA, stage:T3N1M0, alive, 763 days 237.8
U0955 83 years, female, NA, stage:T3N0M0, alive, 2170 days 237.7
U0442 56 years, male, NA, stage:T3N0M0, alive, 619 days 237.1
U1264 69 years, female, NA, stage:T3N0M0, dead, 1583 days 236.4
U0125 86 years, female, NA, stage:T1N0M0, dead, 668 days 235.8
U0316 68 years, male, NA, stage:T3N2M0, alive, 2012 days 235.7
U0252 70 years, male, NA, stage:T3N1M0, dead, 1761 days 235.5
U0349 63 years, male, NA, stage:T3N1M0, alive, 2682 days 234.6
U0176 76 years, male, NA, stage:T3N1M0, alive, 2600 days 233.9
U1073 79 years, female, NA, stage:T3N1M0, alive, 1359 days 233.8
U0916 88 years, female, NA, stage:T3N0M0, alive, 1578 days 233.7
U0146 79 years, female, NA, stage:T3N2M0, dead, 733 days 232.5
U2842 60 years, female, NA, stage:T4N2M0, alive, 675 days 232.3
U0135 82 years, female, NA, stage:T3N0M0, alive, 1738 days 230.9
U3042 62 years, male, NA, stage:T3N0M0, alive, 324 days 230.9
U0360 67 years, female, NA, stage:T3N0M0, dead, 1016 days 230.2
U1220 70 years, male, NA, stage:T3N2M0, dead, 1953 days 228.4
U0398 63 years, female, NA, stage:T3N0M0, alive, 721 days 228.4
U0289 66 years, female, NA, stage:T3N0M0, alive, 3511 days 227.5
U0196 75 years, male, NA, stage:T3N0M0, alive, 2086 days 227.4
U0281 72 years, male, NA, stage:T3N2M0, alive, 933 days 227.1
U0221 77 years, male, NA, stage:T3N0M0, alive, 569 days 226.8
U0400 62 years, male, NA, stage:T4N0M0, dead, 1073 days 226.5
U0321 70 years, female, NA, stage:T3N0M0, alive, 1029 days 226.4
U1127 71 years, female, NA, stage:T3N0M0, alive, 3465 days 226.3
U0375 66 years, male, NA, stage:T3N0M0, dead, 666 days 225.8
U0278 73 years, female, NA, stage:T2N0M0, alive, 763 days 225.7
U1184 70 years, male, NA, stage:T4N1M0, alive, 290 days 224.5
U0345 65 years, female, NA, stage:T3N0M0, alive, 2127 days 223.8
U0306 71 years, male, NA, stage:T3N1M0, dead, 717 days 223.5
U0119 81 years, female, NA, stage:T3N0M0, alive, 3259 days 222.9
U0421 60 years, male, NA, stage:T3N1M0, alive, 674 days 221.6
U0169 82 years, male, NA, stage:T4N2M0, alive, 616 days 221.4
U0092 84 years, male, NA, stage:T3N0M0, alive, 2779 days 220.9
U1332 65 years, male, NA, stage:T3N0M0, alive, 1672 days 220.9
U0083 88 years, male, NA, stage:T4N0M0, dead, 731 days 219.8
U0245 71 years, female, NA, stage:T3N1M0, dead, 564 days 215.1
U0433 58 years, male, NA, stage:T4N1M1, dead, 440 days 213.8
U0383 60 years, male, NA, stage:T3N2M1, dead, 595 days 213.2
U0175 77 years, male, NA, stage:T3N2M0, alive, 1875 days 212.6
U0882 93 years, male, NA, stage:T3N0M0, alive, 1675 days 211.0
U0984 84 years, female, NA, stage:T4N0M0, alive, 1287 days 210.6
U0218 77 years, female, NA, stage:T3N0M0, alive, 714 days 209.5
U0453 46 years, male, NA, stage:T3N0M0, alive, 2859 days 209.4
U0151 80 years, female, NA, stage:T3N0M0, alive, 2014 days 208.7
U0153 80 years, female, NA, stage:T3N0M0, dead, 1718 days 208.4
U0320 66 years, female, NA, stage:T4N2M1, alive, 188 days 206.9
U0929 85 years, male, NA, stage:T4N1M0, alive, 436 days 205.6
U0295 67 years, male, NA, stage:T3N0M0, dead, 2572 days 205.2
U1327 66 years, female, NA, stage:T3N0M0, alive, 1613 days 205.2
U0267 73 years, male, NA, stage:T4N0M0, dead, 445 days 200.5
U0247 70 years, female, NA, stage:T3N1M0, alive, 2538 days 199.9
U0131 81 years, female, NA, stage:T4N2M1, alive, 238 days 196.5
U0145 81 years, male, NA, stage:T3N1M1, alive, 623 days 196.0
U0068 92 years, female, NA, stage:T3N1M0, alive, 1991 days 193.2
U0157 83 years, male, NA, stage:T4N0M0, dead, 131 days 192.7
U0266 70 years, female, NA, stage:T3N1M0, dead, 2221 days 192.7
U0200 73 years, female, NA, stage:T3N0M0, alive, 2614 days 192.2
U0934 87 years, female, NA, stage:T3N0M0, alive, 1185 days 191.8
U1483 43 years, female, NA, stage:T3N0M0, alive, 1094 days 191.2
U0193 76 years, male, NA, stage:T3N1M0, dead, 876 days 190.9
U1099 77 years, female, NA, stage:T3N0M0, alive, 2068 days 188.7
U1018 81 years, male, NA, stage:T4N1M1, dead, 1693 days 187.2
U1104 78 years, female, NA, stage:T4N0M0, alive, 1109 days 186.9
U0210 75 years, male, NA, stage:T3N0M0, dead, 1800 days 186.8
U1150 75 years, female, NA, stage:T3N0M0, alive, 15 days 184.0
U1045 80 years, female, NA, stage:T4N2M0, alive, 1239 days 180.8
U0148 80 years, male, NA, stage:T3N0M0, alive, 1780 days 180.3
U0094 89 years, female, NA, stage:T3N2M0, alive, 741 days 180.2
U0089 85 years, female, NA, stage:T1NXM0, dead, 2365 days 179.6
U0313 70 years, male, NA, stage:T4N1M0, dead, 1142 days 175.0
U1317 68 years, male, NA, stage:T4N1M0, alive, 965 days 173.0
U1071 78 years, female, NA, stage:T4N0M1, alive, 1514 days 172.3
U0249 75 years, female, NA, stage:T4N2M0, dead, 874 days 171.7
U0472 32 years, male, NA, stage:TXN2M0, alive, 542 days 170.1
U1059 77 years, male, NA, stage:T3N1M0, alive, 2790 days 169.5
U0401 60 years, male, NA, stage:T4N1M0, alive, 1715 days 169.3
U0187 77 years, male, NA, stage:T3N2M0, alive, 1632 days 167.2
U0189 74 years, female, NA, stage:T3N0M0, dead, 1823 days 166.7
U0246 74 years, female, NA, stage:T4N0M0, dead, 1192 days 165.6
U1046 78 years, female, NA, stage:T4N2M1, dead, 697 days 163.4
U0085 88 years, male, NA, stage:T4N1M0, dead, 1698 days 162.7
U0993 83 years, male, NA, stage:T4N2M0, alive, 1267 days 160.2
U1075 78 years, female, NA, stage:T3N0M0, alive, 1290 days 155.4
U1037 80 years, male, NA, stage:T4N0M0, alive, 1658 days 147.2
U0214 72 years, male, NA, stage:T4N1M1, alive, 788 days 146.5
U0424 56 years, male, NA, stage:T3N0M0, alive, 2192 days 144.9
U1183 73 years, male, NA, stage:T4N2M0, alive, 959 days 124.2
U0248 72 years, male, NA, stage:T3N0M0, alive, 1870 days 79.3
U1384 62 years, male, NA, stage:T4N1M0, alive, 1319 days 62.0
U0074 89 years, female, NA, stage:T3N0M0, dead, 1438 days 26.1
Show allShow less
RECTUM ADENOCARCINOMA (TCGA) - Interactive survival scatter ploti

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

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

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

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

& Survival analysisi

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

COX5B 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.

: 245.85
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 335.8
Number of samples 88
Samples
Sample Description pTPM
TCGA-DY-A1DE-01A 56 years, female, white, stage:Stage IIA, alive, 3932 days 1351.8
TCGA-DC-6155-01A 31 years, female, white, stage:Stage IIIA, alive, 425 days 819.8
TCGA-DY-A1DG-01A 75 years, male, white, stage:Stage IVA, dead, 1566 days 716.6
TCGA-DC-5337-01A 69 years, male, white, stage:Stage I, alive, 792 days 690.6
TCGA-DC-4749-01A 57 years, male, white, stage:Stage I, alive, 762 days 591.8
TCGA-EF-5831-01A 72 years, male, white, stage:Stage IIA, alive, 127 days 575.6
TCGA-AH-6897-01A 48 years, male, white, stage:Stage I, alive, 804 days 549.0
TCGA-DC-4745-01A 49 years, female, white, stage:Stage IIIB, alive, 639 days 539.7
TCGA-F5-6863-01A 71 years, female, white, stage:Stage IIIB, dead, 361 days 495.4
TCGA-CI-6620-01A 41 years, female, white, stage:Stage IVA, alive, 1009 days 454.4
TCGA-AF-5654-01A 73 years, female, white, stage:Stage I, dead, 512 days 449.7
TCGA-AH-6544-01A 60 years, male, white, stage:'--, alive, 1173 days 449.6
TCGA-DC-5869-01A 62 years, female, black or african american, stage:Stage IIIB, alive, 943 days 444.7
TCGA-BM-6198-01A 73 years, male, white, stage:Stage IIIB, alive, 646 days 428.2
TCGA-EI-6881-01A 60 years, male, white, stage:Stage IIIA, alive, 499 days 421.3
TCGA-DC-6154-01A 57 years, female, white, stage:Stage IVA, alive, 365 days 417.9
TCGA-AH-6903-01A 46 years, male, white, stage:Stage IIIB, alive, 592 days 406.7
TCGA-AF-3911-01A 48 years, male, white, stage:Stage IIIC, alive, 1148 days 403.2
TCGA-DY-A1DC-01A 72 years, female, white, stage:Stage IIA, dead, 1258 days 397.6
TCGA-DY-A1H8-01A 77 years, female, white, stage:Stage IIIA, dead, 992 days 394.8
TCGA-EI-6513-01A 59 years, male, white, stage:Stage IIIB, alive, 497 days 394.6
TCGA-G5-6572-01A 56 years, male, white, stage:'--, dead, 1432 days 387.0
TCGA-F5-6861-01A 60 years, female, white, stage:Stage IIA, alive, 1160 days 386.4
TCGA-AF-A56L-01A 48 years, female, black or african american, stage:Stage IIIC, alive, 2007 days 384.4
TCGA-EI-6883-01A 63 years, male, white, stage:Stage IIC, alive, 350 days 384.2
TCGA-G5-6233-01A 74 years, male, white, stage:'--, dead, 556 days 380.0
TCGA-DC-6160-01A 68 years, male, white, stage:Stage I, alive, 1339 days 365.4
TCGA-EI-6884-01A 71 years, male, white, stage:Stage IIIA, alive, 328 days 362.1
TCGA-EI-6882-01A 59 years, male, white, stage:Stage IIA, alive, 262 days 361.9
TCGA-EI-6510-01A 77 years, female, white, stage:'--, alive, 556 days 352.2
TCGA-G5-6641-01A 67 years, male, white, stage:Stage IIIA, alive, 804 days 349.8
TCGA-CL-4957-01A 79 years, female, stage:'--, dead, 425 days 347.1
TCGA-AF-A56N-01A 47 years, female, black or african american, stage:Stage IIA, alive, 360 days 344.3
TCGA-AG-4021-01A 84 years, female, stage:Stage IV, dead, 121 days 339.8
TCGA-DC-6681-01A 70 years, female, white, stage:Stage IVA, alive, 790 days 334.0
TCGA-EF-5830-01A 54 years, male, white, stage:Stage IIB, alive, 106 days 333.4
TCGA-AF-2693-01A 75 years, male, white, stage:Stage I, alive, 1155 days 333.0
TCGA-AF-6136-01A 72 years, female, white, stage:Stage IIIB, alive, 741 days 323.1
TCGA-CL-5917-01A 71 years, female, white, stage:Stage IIIC, alive, 2376 days 322.1
TCGA-F5-6814-01A 57 years, male, white, stage:Stage IIA, alive, 1131 days 317.3
TCGA-AG-3591-01A 66 years, female, stage:Stage IIA, alive, 1035 days 316.6
TCGA-EI-6511-01A 52 years, male, white, stage:Stage IIIB, alive, 482 days 309.9
TCGA-EI-6508-01A 48 years, female, white, stage:Stage IIIB, alive, 636 days 302.7
TCGA-AG-3742-01A 85 years, female, stage:Stage I, alive, 30 days 298.8
TCGA-AG-3592-01A 68 years, male, stage:Stage IIA, alive, 1035 days 294.8
TCGA-EI-6514-01A 59 years, female, white, stage:Stage IIA, alive, 496 days 294.1
TCGA-DC-6682-01A 57 years, male, white, stage:Stage IIA, alive, 762 days 289.4
TCGA-EI-6917-01A 33 years, male, white, stage:Stage IIIA, alive, 531 days 289.2
TCGA-AF-A56K-01A 56 years, male, black or african american, stage:Stage IIA, alive, 2635 days 284.9
TCGA-F5-6864-01A 74 years, female, white, stage:Stage IIIB, alive, 379 days 280.2
TCGA-EI-6512-01A 64 years, female, white, stage:Stage IIIB, alive, 538 days 278.9
TCGA-EI-7002-01A 58 years, male, white, stage:Stage IV, alive, 364 days 277.2
TCGA-CI-6621-01A 63 years, male, white, stage:Stage IIIB, alive, 419 days 275.9
TCGA-AG-3902-01A 61 years, male, stage:Stage IIA, alive, 974 days 275.1
TCGA-DC-6683-01A 43 years, male, white, stage:Stage IIIB, alive, 762 days 274.7
TCGA-DC-6157-01A 48 years, male, black or african american, stage:Stage I, alive, 1581 days 273.3
TCGA-AH-6547-01A 79 years, female, white, stage:'--, dead, 76 days 270.1
TCGA-DY-A0XA-01A 57 years, female, white, stage:Stage IIA, alive, 3846 days 266.8
TCGA-AH-6549-01A 66 years, male, white, stage:'--, alive, 532 days 266.4
TCGA-F5-6465-01A 64 years, female, white, stage:Stage IIA, alive, 1506 days 264.1
TCGA-F5-6812-01A 67 years, male, white, stage:Stage IIA, alive, 1110 days 261.2
TCGA-AF-4110-01A 77 years, male, white, stage:Stage IVA, alive, 912 days 255.1
TCGA-CI-6622-01A 74 years, male, white, stage:Stage IIB, alive, 1362 days 254.0
TCGA-F5-6811-01A 72 years, female, white, stage:Stage IIA, alive, 979 days 253.4
TCGA-AG-3731-01A 65 years, male, stage:Stage IV, alive, 1126 days 245.9
TCGA-F5-6464-01A 77 years, female, white, stage:Stage IIIC, dead, 303 days 241.0
TCGA-AF-6672-01A 43 years, male, white, stage:Stage IV, alive, 748 days 238.1
TCGA-AF-6655-01A 66 years, male, white, stage:Stage IIIA, alive, 609 days 237.2
TCGA-EI-6507-01A 60 years, male, white, stage:Stage IIA, alive, 607 days 235.2
TCGA-DC-6156-01A 62 years, male, white, stage:Stage IVA, alive, 943 days 233.8
TCGA-F5-6813-01A 70 years, male, white, stage:Stage IIIC, dead, 598 days 230.5
TCGA-DY-A1DF-01A 73 years, female, white, stage:Stage IIIC, dead, 734 days 228.5
TCGA-EI-6506-01A 78 years, female, white, stage:Stage IIA, alive, 625 days 214.5
TCGA-AF-2690-01A 76 years, female, white, stage:Stage IIIC, dead, 524 days 208.4
TCGA-DC-6158-01A 70 years, male, white, stage:Stage I, dead, 334 days 206.2
TCGA-DT-5265-01A 51 years, male, asian, stage:Stage II, alive, 384 days 199.0
TCGA-AG-4022-01A 59 years, female, stage:Stage II, alive, 1400 days 191.8
TCGA-EI-6509-01A 53 years, male, white, stage:Stage IIIC, alive, 517 days 189.3
TCGA-DY-A1DD-01A 77 years, female, white, stage:Stage IIIB, dead, 1741 days 188.4
TCGA-F5-6702-01A 71 years, male, white, stage:Stage IVA, dead, 869 days 183.7
TCGA-G5-6235-01A 72 years, male, white, stage:Stage IIIB, alive, 1696 days 180.2
TCGA-EI-7004-01A 37 years, female, white, stage:'--, alive, 257 days 180.0
TCGA-AG-3732-01A 78 years, female, stage:Stage I, alive, 1003 days 179.5
TCGA-AH-6643-01A 50 years, male, white, stage:Stage IIIC, dead, 1314 days 179.1
TCGA-AH-6644-01A 73 years, male, white, stage:'--, alive, 838 days 175.1
TCGA-EI-6885-01A 57 years, female, white, stage:Stage IV, alive, 415 days 144.6
TCGA-AF-2687-01A 57 years, male, white, stage:Stage IIIC, alive, 1427 days 125.8
TCGA-F5-6571-01A 62 years, female, white, stage:Stage IIA, alive, 1288 days 110.6
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.

COX5B 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.

: 286.19
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 268.8
Number of samples 207
Samples
Sample Description pTPM
U0030 82 years, female, NA, stage:T2N0M0, dead, 987 days 652.8
U2943 79 years, male, NA, stage:T3N0M0, alive, 189 days 562.1
U0776 62 years, male, NA, stage:T4N2M0, alive, 1702 days 561.1
U0638 52 years, male, NA, stage:T2N0M0, alive, 1801 days 519.4
U3049 72 years, male, NA, stage:T2N0M0, alive, 533 days 476.8
U0243 69 years, female, NA, stage:T3N2M0, alive, 2975 days 454.2
U2764 65 years, male, NA, stage:T3N2M0, alive, 440 days 444.9
U0230 70 years, female, NA, stage:T1N1M0, alive, 3152 days 431.7
U0174 81 years, male, NA, stage:T3N0M0, alive, 450 days 429.0
U0656 68 years, male, NA, stage:T3N2M0, alive, 1150 days 419.0
U2972 91 years, male, NA, stage:T3N0M0, alive, 161 days 417.9
U0814 80 years, female, NA, stage:T3N1M1, dead, 482 days 416.9
U0557 51 years, female, NA, stage:T3N2M0, alive, 2009 days 415.8
U0695 85 years, male, NA, stage:T3N0M0, alive, 566 days 413.7
U0296 67 years, male, NA, stage:T3N0M0, alive, 2610 days 404.8
U0637 56 years, male, NA, stage:T3N1M0, alive, 1997 days 401.1
U2960 52 years, male, NA, stage:T3N1M0, alive, 176 days 395.5
U0001 69 years, female, NA, stage:T3N0M0, alive, 3188 days 389.8
U2994 70 years, female, NA, stage:T4N1M0, alive, 132 days 382.1
U0238 73 years, male, NA, stage:T3N0M0, dead, 868 days 381.8
U2955 50 years, male, NA, stage:T3N1M0, alive, 181 days 378.3
U0228 76 years, male, NA, stage:T2N0M0, alive, 963 days 367.5
U0343 69 years, female, NA, stage:T2N0M0, alive, 701 days 367.2
U0430 55 years, male, NA, stage:T3N2M0, dead, 2472 days 362.0
U0391 64 years, female, NA, stage:T3N0M0, alive, 1179 days 352.7
U3023 63 years, female, NA, stage:T2N0M0, alive, 404 days 347.4
U0334 64 years, male, NA, stage:T3N1M0, alive, 3171 days 345.0
U0232 71 years, female, NA, stage:T2N0M0, dead, 994 days 344.9
U0096 88 years, female, NA, stage:T4N2M1, dead, 257 days 343.7
U0519 69 years, male, NA, stage:T4N2M0, dead, 519 days 339.6
U0147 78 years, female, NA, stage:T3N0M0, dead, 2085 days 336.4
U2834 70 years, male, NA, stage:T3N1M0, alive, 323 days 331.3
U2761 74 years, female, NA, stage:T3N1M0, alive, 447 days 331.0
U0077 86 years, female, NA, stage:T2N0M0, dead, 588 days 330.0
U0555 60 years, male, NA, stage:T3N2M0, alive, 2043 days 329.8
U0649 67 years, male, NA, stage:T2N0M0, alive, 1424 days 329.0
U2991 77 years, female, NA, stage:T1N0M0, alive, 135 days 328.0
U0484 55 years, male, NA, stage:T4N2M0, alive, 1275 days 326.1
U0553 68 years, female, NA, stage:T3N2M0, alive, 1704 days 326.0
U0374 65 years, female, NA, stage:T2N0M0, alive, 1067 days 325.7
U0508 70 years, male, NA, stage:T3N1M0, alive, 1120 days 322.7
U0255 68 years, female, NA, stage:T3N2M0, dead, 1079 days 321.7
U0258 73 years, male, NA, stage:T4N1M2, dead, 195 days 319.3
U0671 93 years, male, NA, stage:T3N1M0, dead, 785 days 316.9
U0466 40 years, male, NA, stage:T3N0M0, alive, 1381 days 315.0
U2779 74 years, male, NA, stage:T3N0M0, alive, 419 days 314.9
U0251 71 years, male, NA, stage:T2N0M0, alive, 1906 days 314.5
U0216 72 years, male, NA, stage:T2N0M0, alive, 2684 days 314.3
U3047 70 years, male, NA, stage:T3N2M0, alive, 205 days 312.4
U0351 63 years, female, NA, stage:T3N2M0, alive, 2886 days 311.1
U0657 46 years, female, NA, stage:T2N0M0, dead, 1109 days 310.6
U0650 57 years, female, NA, stage:T2N2M0, alive, 1331 days 309.5
U0080 86 years, female, NA, stage:T3N0M0, dead, 489 days 309.5
U0849 81 years, female, NA, stage:T4N0M1, dead, 267 days 308.3
U0137 80 years, male, NA, stage:T3N1M0, dead, 1799 days 307.8
U0423 55 years, female, NA, stage:T4N2M0, alive, 2735 days 302.7
U0550 43 years, male, NA, stage:T3N2M0, alive, 2191 days 301.9
U0417 54 years, female, NA, stage:T3N2M1, dead, 893 days 299.5
U0415 56 years, male, NA, stage:T3N1M0, alive, 2526 days 297.4
U0422 56 years, female, NA, stage:T3N2M1, dead, 1710 days 296.5
U0800 74 years, male, NA, stage:T3N2M1, dead, 411 days 294.3
U0686 77 years, female, NA, stage:T4bN0M0, dead, 123 days 293.4
U0138 80 years, male, NA, stage:T3N1M0, dead, 2472 days 292.6
U0294 73 years, male, NA, stage:T4N0M1, alive, 561 days 292.1
U0652 76 years, male, NA, stage:T3N0M0, alive, 1319 days 290.9
U0802 70 years, male, NA, stage:T3N2M1, dead, 338 days 290.7
U0750 64 years, female, NA, stage:T3N2M0, dead, 1393 days 289.3
U0173 77 years, male, NA, stage:T2N0M0, dead, 2375 days 289.2
U0539 66 years, male, NA, stage:T4N2M0, alive, 2017 days 286.6
U0407 59 years, male, NA, stage:T3N1M0, dead, 2027 days 286.3
U0213 71 years, male, NA, stage:T3N1M0, alive, 3018 days 286.1
U0494 73 years, male, NA, stage:T4N2M0, alive, 1290 days 285.6
U0132 82 years, male, NA, stage:T3N1M0, alive, 1798 days 284.8
U0325 67 years, male, NA, stage:T3N0M0, dead, 1947 days 284.6
U0663 78 years, female, NA, stage:T3N1M0, alive, 762 days 284.3
U0593 74 years, male, NA, stage:T4bN0M0, alive, 876 days 281.9
U0514 52 years, female, NA, stage:T2N2M0, alive, 2799 days 281.1
U0284 73 years, male, NA, stage:T3N2M0, alive, 581 days 281.0
U0654 72 years, male, NA, stage:T3N2M0, alive, 1220 days 279.2
U0793 80 years, male, NA, stage:T3N1M1, dead, 195 days 278.6
U0366 67 years, male, NA, stage:T3NXM1, alive, 895 days 277.6
U0311 70 years, female, NA, stage:T3N1M0, alive, 1176 days 277.0
U0339 64 years, male, NA, stage:T3N2M0, alive, 2155 days 273.4
U0605 74 years, male, NA, stage:T2N0M0, alive, 952 days 270.7
U0282 70 years, male, NA, stage:T3N2M0, dead, 1869 days 270.6
U0331 64 years, male, NA, stage:T3N1M1, dead, 906 days 270.5
U0120 80 years, female, NA, stage:T3N0M0, alive, 3233 days 269.5
U0545 62 years, male, NA, stage:T3N0M0, alive, 2340 days 269.4
U0601 75 years, female, NA, stage:T4N1M0, alive, 1368 days 269.3
U0434 54 years, male, NA, stage:T2N0M0, alive, 2558 days 268.9
U0405 63 years, male, NA, stage:T3N1M0, alive, 829 days 267.4
U0276 73 years, male, NA, stage:T3N1M1, alive, 934 days 266.2
U0353 62 years, female, NA, stage:T1N0M0, alive, 2912 days 265.1
U0128 86 years, female, NA, stage:T3N1M0, alive, 449 days 264.7
U0558 63 years, female, NA, stage:T3N2M0, alive, 2011 days 264.0
U0305 66 years, male, NA, stage:T3N1M0, alive, 2676 days 262.7
U0380 62 years, male, NA, stage:T2N0M0, alive, 2155 days 261.6
U0645 60 years, male, NA, stage:T3N0M0, alive, 1567 days 260.7
U0114 84 years, male, NA, stage:T3N0M0, alive, 1910 days 258.1
U0640 64 years, male, NA, stage:T2N0M0, alive, 1696 days 257.1
U0304 68 years, male, NA, stage:T3N2M0, alive, 2065 days 256.4
U0651 70 years, male, NA, stage:T3N0M0, alive, 1354 days 254.0
U0562 58 years, female, NA, stage:T3N1M0, alive, 3092 days 254.0
U0293 67 years, male, NA, stage:T3N1M0, alive, 2717 days 252.2
U0862 75 years, male, NA, stage:T4N2M1, dead, 1064 days 251.0
U0079 86 years, male, NA, stage:T4N2M0, dead, 1891 days 250.4
U0809 85 years, female, NA, stage:T3N1M1, dead, 275 days 249.4
U0865 72 years, female, NA, stage:T3N1M1, dead, 856 days 249.1
U0388 61 years, male, NA, stage:T2N1M0, alive, 2186 days 248.4
U0406 58 years, female, NA, stage:T4N2M1, dead, 778 days 247.0
U0468 38 years, female, NA, stage:T3N0M0, alive, 1921 days 246.5
U0140 80 years, male, NA, stage:T3N2M0, alive, 2655 days 245.7
U0431 59 years, female, NA, stage:T3N1M0, alive, 695 days 245.5
U0595 71 years, male, NA, stage:T2N0M0, alive, 2535 days 245.4
U0220 76 years, male, NA, stage:T2N0M0, alive, 1066 days 245.3
U0264 69 years, male, NA, stage:T4N2M0, alive, 2020 days 244.7
U0155 77 years, male, NA, stage:T2N0M0, dead, 1672 days 244.4
U0498 72 years, female, NA, stage:T4N1M0, alive, 1906 days 244.3
U0371 62 years, female, NA, stage:T3N0M0, alive, 2688 days 244.0
U0561 68 years, female, NA, stage:T3N2M0, alive, 1577 days 243.1
U0592 90 years, female, NA, stage:T2N0M0, dead, 670 days 243.0
U0511 92 years, female, NA, stage:T3N0M0, dead, 2387 days 242.7
U0803 68 years, female, NA, stage:T3N1M1, dead, 495 days 242.1
U0535 54 years, female, NA, stage:T4N1M0, alive, 2473 days 240.4
U0648 65 years, female, NA, stage:T3N0M0, alive, 1415 days 239.7
U0118 81 years, female, NA, stage:T3N2M0, dead, 350 days 237.6
U0097 83 years, male, NA, stage:T3N0M1, dead, 2903 days 237.0
U0086 86 years, female, NA, stage:T3N1M0, dead, 594 days 237.0
U0591 81 years, male, NA, stage:T2N0M0, alive, 1023 days 236.1
U0458 49 years, male, NA, stage:T3N2M0, alive, 1073 days 236.1
U0116 85 years, male, NA, stage:T3N1M0, dead, 930 days 235.4
U0470 39 years, female, NA, stage:T2N2M0, alive, 961 days 235.0
U0568 59 years, male, NA, stage:T4N1M0, alive, 1287 days 234.5
U0565 84 years, male, NA, stage:T4N1M0, alive, 1452 days 233.8
U0492 63 years, male, NA, stage:T3N2M0, alive, 1114 days 233.4
U0194 79 years, male, NA, stage:T3N1M0, alive, 680 days 233.3
U0532 72 years, male, NA, stage:T3N0M0, dead, 730 days 232.6
U0542 68 years, male, NA, stage:T3N2M0, dead, 1482 days 232.5
U0359 64 years, male, NA, stage:T3N2M0, dead, 2443 days 232.5
U0643 58 years, female, NA, stage:T2N1M0, dead, 1583 days 231.7
U0581 66 years, female, NA, stage:T3N2M0, alive, 1660 days 231.1
U0604 67 years, male, NA, stage:T3N1M0, alive, 1522 days 230.0
U0485 74 years, male, NA, stage:T3N0M0, dead, 2737 days 230.0
U0192 76 years, male, NA, stage:T3N0M0, alive, 2081 days 228.3
U0454 46 years, male, NA, stage:T3N1M0, alive, 2997 days 226.9
U0159 79 years, female, NA, stage:T3N1M0, alive, 1517 days 225.7
U0852 36 years, male, NA, stage:T3N2M1, alive, 1651 days 225.5
U0861 62 years, female, NA, stage:T4N2M1, dead, 184 days 224.1
U0658 75 years, male, NA, stage:T3N2M0, alive, 1108 days 223.7
U0346 67 years, male, NA, stage:T4N2M0, alive, 1148 days 223.7
U0299 71 years, female, NA, stage:T4N2M0, alive, 43426 days 223.4
U0212 77 years, male, NA, stage:T3N0M1, alive, 1330 days 222.3
U0600 72 years, male, NA, stage:T3N1M0, alive, 1659 days 221.2
U0279 74 years, male, NA, stage:T2N1M0, dead, 176 days 219.0
U0409 61 years, female, NA, stage:T3N1M0, alive, 934 days 218.2
U0437 57 years, male, NA, stage:T1N1M0, alive, 849 days 216.4
U0577 59 years, female, NA, stage:T3N2M0, alive, 2474 days 215.7
U0602 79 years, male, NA, stage:T2N0M0, alive, 1385 days 215.6
U0242 69 years, male, NA, stage:T3N0M0, alive, 2950 days 213.9
U0857 76 years, male, NA, stage:T4N2M1, dead, 954 days 212.7
U0418 60 years, male, NA, stage:T4N1M0, alive, 1246 days 212.6
U0587 47 years, male, NA, stage:T3N1M0, alive, 2107 days 212.0
U0502 65 years, male, NA, stage:T4N1M0, alive, 1065 days 211.6
U0298 72 years, male, NA, stage:T3N1M0, alive, 513 days 209.5
U0237 71 years, male, NA, stage:T3N1M0, alive, 2492 days 208.9
U0641 61 years, female, NA, stage:T3N0M0, dead, 1626 days 208.7
U0805 65 years, male, NA, stage:T3N1M1, dead, 731 days 206.9
U0707 59 years, male, NA, stage:T3N1M0, alive, 518 days 206.3
U0088 86 years, male, NA, stage:T3N1M1, dead, 260 days 206.1
U0820 74 years, male, NA, stage:T3NXM1, dead, 622 days 204.5
U0578 42 years, male, NA, stage:T2N2M0, alive, 1724 days 203.9
U0642 87 years, male, NA, stage:T3N0M0, alive, 1603 days 203.7
U0556 66 years, male, NA, stage:T3N2M0, alive, 2037 days 200.3
U0457 50 years, male, NA, stage:T3N0M0, alive, 833 days 196.7
U0666 59 years, male, NA, stage:T3N1M0, alive, 709 days 196.5
U0603 73 years, male, NA, stage:T2N1M0, alive, 1904 days 195.2
U2836 87 years, male, NA, stage:T3N0M0, alive, 322 days 193.8
U0534 69 years, female, NA, stage:T3N2M0, alive, 1361 days 192.4
U0324 70 years, female, NA, stage:T4N1M0, alive, 938 days 191.6
U0538 73 years, female, NA, stage:T3N1M0, alive, 1308 days 191.0
U0694 85 years, male, NA, stage:T4N0M0, dead, 489 days 191.0
U0579 65 years, female, NA, stage:T4aN0M0, alive, 2845 days 190.8
U0594 71 years, male, NA, stage:T3N0M0, alive, 2852 days 190.3
U0584 66 years, male, NA, stage:T3N2M0, alive, 2705 days 187.0
U0675 84 years, female, NA, stage:T4N1M0, dead, 89 days 185.0
U0713 63 years, male, NA, stage:T2N0M0, alive, 359 days 182.7
U0205 72 years, female, NA, stage:T3N2M0, alive, 2984 days 182.5
U0402 58 years, female, NA, stage:T3N1M0, dead, 2487 days 179.8
U0478 75 years, male, NA, stage:T4N2M0, alive, 2051 days 178.0
U0241 76 years, female, NA, stage:T2N1M0, alive, 552 days 177.5
U0848 86 years, male, NA, stage:T3N1M1, dead, 1185 days 173.5
U0271 69 years, female, NA, stage:T3N1M0, alive, 2414 days 172.9
U0364 67 years, female, NA, stage:T4N2M1, dead, 151 days 172.0
U0322 67 years, male, NA, stage:T4N2M0, alive, 1694 days 169.8
U0533 68 years, male, NA, stage:T3N2M0, alive, 2248 days 168.6
U0512 65 years, male, NA, stage:T3N0M0, alive, 2550 days 164.2
U0497 66 years, female, NA, stage:T3N1M0, alive, 1414 days 155.6
U0190 75 years, male, NA, stage:T3N0M0, alive, 2367 days 155.0
U0572 67 years, female, NA, stage:T3N1M0, alive, 2621 days 154.0
U0552 67 years, male, NA, stage:T3N2M0, alive, 1701 days 150.7
U0188 76 years, female, NA, stage:T3N1M0, alive, 2134 days 149.1
U0596 61 years, male, NA, stage:T3N0M0, alive, 2233 days 146.6
U0647 85 years, female, NA, stage:T3N0M0, alive, 1476 days 145.5
U0804 66 years, female, NA, stage:T3N2M1, dead, 380 days 145.2
U0329 70 years, male, NA, stage:T3N1M0, dead, 805 days 142.9
U0576 69 years, male, NA, stage:T3N2M0, alive, 2540 days 107.1
U0093 85 years, male, NA, stage:T3N2M0, dead, 1118 days 52.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples 197
Samples
Sample ID Sample type nRPX
8cc7e656-0152-4359-8566-0581c3 Tumor 1.1
b2400046-1d25-429d-a821-6040a6 Tumor 0.9
43bc845e-d22e-4c10-b3e8-bc54e6_D2 Normal 0.9
a84149b1-8453-45f0-8400-d7b12f_D2 Normal 0.9
0784c7b3-e6a4-42a8-9288-eb4ba0_D2 Normal 0.8
515040a4-bbfb-4a15-9e53-e7b6e6_D2 Normal 0.8
9a48cf57-e1f0-4ea1-9804-d563f2_D2 Normal 0.7
bd67de01-ad7d-431a-9ad6-4dd5a1 Tumor 0.7
05a33362-82bb-48ac-8feb-ad2ea1_D2 Tumor 0.6
3e8019e8-125f-4615-a1fa-a448e9_D2 Normal 0.6
5e886f1c-8165-4232-9591-d80799_D2 Normal 0.6
5c70e654-583c-4dd3-ad42-0d9b39_D2 Normal 0.5
154115ac-2ec2-439d-b55e-0464ee_D2 Normal 0.5
8fab37a4-cdf9-4ce8-9081-7b9148_D2 Normal 0.5
54565eae-05c5-4dae-bde9-ae4874_D2 Normal 0.5
e3c012aa-51c2-42b0-a478-bd620f_D2 Normal 0.5
47d2a435-b203-4438-ae72-53c424_D2 Normal 0.5
82157a70-12f1-4913-b548-d98881_D2 Normal 0.5
5347d2ce-df0c-4d81-a3e2-22db11_D2 Normal 0.5
c307b7b0-534a-45fa-a420-35f773_D2 Normal 0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3 Tumor 0.5
26acb513-3ffe-49ad-8581-9dfc97_D2 Normal 0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2 Normal 0.4
1136008b-97ce-49b0-bf24-abbea6_D2 Normal 0.4
e74089a9-f78c-4ffe-8174-aef71b_D2 Normal 0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3 Tumor 0.4
348f6009-e1be-44d2-a093-9ca844_D2 Normal 0.4
bc574f73-89ba-44d7-992e-82622c_D3 Tumor 0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2 Normal 0.4
cd89ffbb-574a-4052-bd9a-00c890_D2 Tumor 0.4
059a7065-3a5f-4eea-97e5-85ab01_D2 Normal 0.4
820a3f08-5bb1-44b3-a133-ee167e_D2 Tumor 0.4
211cbcef-cb1f-4c80-a1c8-a76d3c_D2 Normal 0.4
c2c53076-b5db-4b7d-983c-a35740_D3 Tumor 0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2 Normal 0.3
359f5c81-2575-497e-8630-e4866f_D2 Normal 0.3
62627b73-1763-48bc-8eea-e5bd76_D2 Normal 0.3
16ac8458-5200-4302-9ad0-b311df_D2 Normal 0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2 Normal 0.3
e515eb5c-8005-416a-9b42-59de9d_D8 Tumor 0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2 Normal 0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2 Normal 0.3
64ed43a2-f083-43cb-9d0d-118495_D2 Normal 0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2 Normal 0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3 Tumor 0.3
321fb3b2-ebb6-4ea5-b737-081264_D2 Tumor 0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2 Normal 0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2 Normal 0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2 Normal 0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3 Tumor 0.3
87b0e853-43ea-4efb-8a22-dd221f_D2 Normal 0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2 Normal 0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2 Normal 0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2 Normal 0.2
3765c09a-fff7-4b37-bf2b-452b23_D2 Normal 0.2
963fc8db-f412-4427-a198-23f660_D2 Normal 0.2
1bf00d93-240f-47e8-8055-f546b0_D2 Normal 0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2 Normal 0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3 Tumor 0.2
23e938d0-92b8-4aea-90c1-4385df_D2 Normal 0.2
c65afd57-530c-4366-b2c8-463a46_D2 Tumor 0.2
5de06adb-e00d-4114-8d76-04bd30_D2 Normal 0.2
853ecf90-71e6-4156-a56f-a34b65_D2 Normal 0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2 Normal 0.2
377cdd37-d1bd-4042-997e-478a0f_D2 Normal 0.2
a243b765-61ab-4aa6-88e1-226896_D2 Normal 0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2 Normal 0.2
41a04113-2061-4923-bca5-da586c_D2 Normal 0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2 Normal 0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3 Tumor 0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3 Tumor 0.2
0c330883-ab58-4a5a-bff7-07d283_D2 Normal 0.2
65867ab1-5eab-44a8-b2bb-d27263_D2 Normal 0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3 Tumor 0.1
6797a69d-2f74-44b9-8147-cd4fac_D2 Normal 0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2 Normal 0.1
5557e478-3e6f-475b-8acc-1b4159_D8 Tumor 0.1
0d5554d1-1653-4589-a44f-43113e_D2 Normal 0.1
b3696374-c6c0-49dd-833e-596e26_D2 Normal 0.1
411d9597-c785-4de5-b449-29a80d_D2 Normal 0.1
176d1b96-8c6e-44fe-8a32-e15194_D2 Normal 0.1
87408d9e-4029-4e8f-b14c-8efc04_D3 Tumor 0.1
694e8df1-d9ee-473b-bec1-4f9237_D2 Normal 0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2 Normal 0.1
b2978e90-cd2a-4665-b1bf-508a99_D2 Normal 0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2 Normal 0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2 Tumor 0.1
d80408d6-598d-4411-ab34-eb2545_D2 Normal 0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8 Tumor 0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2 Normal 0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2 Normal 0.1
a27cf22d-836e-49a7-802f-47c1db_D2 Normal 0.1
c1b66358-d103-493c-b8ec-92c43b_D1 Tumor 0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3 Tumor 0.0
372c900a-fced-4eef-9dc4-7282ec_D2 Tumor 0.0
d8805fa4-30f9-4417-907e-fdc50c_D2 Normal 0.0
799893aa-d523-4a08-9ea7-611cca_D3 Tumor 0.0
e070ff10-058b-4733-93ab-bdd702_D2 Normal 0.0
067db520-1b1f-4569-9414-e37a6e_D2 Normal 0.0
974e136f-7020-4a38-b9c1-094df9_D2 Normal 0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2 Normal 0.0
df479b07-bbf6-472d-a580-c3fd0c_D2 Normal 0.0
ea6df59d-5240-4927-b19d-d44590_D2 Tumor 0.0
233ec093-9a30-4ef4-a12c-91757e_D2 Normal 0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2 Tumor 0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2 Normal 0.0
1563ef63-d2e6-406f-adc1-255949_D3 Tumor 0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2 Tumor 0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2 Normal 0.0
bda3787a-1397-4716-bb17-4992a8_D2 Normal 0.0
1c070992-647b-4173-a481-904c4d_D2 Normal -0.1
526c3664-5b9b-4a2b-a00e-a14623_D2 Tumor -0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8 Tumor -0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2 Normal -0.1
4b263734-430f-41dc-a296-8691f0_D3 Tumor -0.1
2167c594-c33f-4795-b95b-69bd07_D2 Tumor -0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2 Tumor -0.1
58a92726-4d1f-4e44-8938-52b97d_D3 Tumor -0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3 Tumor -0.1
092c5a37-325b-4181-b230-2d8fff_D2 Tumor -0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2 Normal -0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2 Tumor -0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2 Normal -0.1
02cde0c0-6840-495b-9b11-007d82_D2 Normal -0.1
43192517-085e-450e-9481-0a6713_D3 Tumor -0.1
efee6bb9-69dd-46c2-85b3-b55962_D2 Normal -0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3 Tumor -0.1
79097be1-cd36-4a23-99d1-3d744f_D2 Tumor -0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3 Tumor -0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3 Tumor -0.2
5a3aa99d-ca10-45f6-939f-12392a_D2 Normal -0.2
cbd0e774-c741-4753-9c9e-391a7d_D2 Normal -0.2
8c73f3a5-fea8-4942-90c0-966f66_D3 Tumor -0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2 Normal -0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2 Normal -0.2
573048dd-2502-40e0-8e8c-c41bb8_D3 Tumor -0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2 Normal -0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3 Tumor -0.2
bed27f66-ef3b-4868-b4ad-205018_D2 Normal -0.2
591fb460-703a-437d-8d9a-ff2a35_D3 Tumor -0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3 Tumor -0.3
903d5fe0-970a-47be-a97f-3cc914_D2 Normal -0.3
8b9e4266-7754-4f2c-ac9e-329905_D2 Tumor -0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2 Tumor -0.3
a313f6ef-5994-4d49-9e66-c26911_D2 Normal -0.3
b4e91300-405e-4239-b8da-5e1a42_D2 Tumor -0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2 Normal -0.3
3a17283c-a0f4-4514-956b-080d11_D2 Normal -0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2 Normal -0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3 Tumor -0.3
2b810478-7956-4a8b-870d-184859_D2 Tumor -0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2 Tumor -0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2 Tumor -0.3
6e20c8e9-ab75-4996-9296-445b00_D2 Tumor -0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3 Tumor -0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2 Tumor -0.4
f6afe41c-111d-4818-8485-fe95e0_D2 Tumor -0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3 Tumor -0.4
f4bccfe4-98d0-466b-a6d7-44341b_D3 Tumor -0.4
d3078fa8-0692-411f-8441-0c7c48_D8 Tumor -0.4
0f238226-864c-4de0-8c61-01e729_D2 Tumor -0.4
f635496c-0046-4ecd-89bc-7a4f33_D2 Tumor -0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3 Tumor -0.4
da747cee-5026-4923-af63-ad9f81_D2 Normal -0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2 Tumor -0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2 Tumor -0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2 Normal -0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3 Tumor -0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3 Tumor -0.4
37219a7c-6fe2-4684-a494-d0be08_D2 Tumor -0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2 Tumor -0.4
66b57abc-0d49-46bb-a390-0e11a9_D2 Tumor -0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2 Tumor -0.5
3d797911-d476-436f-9cce-33e20c_D8 Tumor -0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2 Normal -0.5
e1cd3d70-132b-452f-ba10-026721_D2 Tumor -0.5
2666323d-522f-4f0a-823c-ff8866_D2 Normal -0.6
ec9afcc4-ccf7-4226-b0e8-d6897d_D3 Tumor -0.6
695b0b00-a86b-43c0-a6c8-50a840_D3 Tumor -0.6
b4dd4a04-5eda-43dd-8298-215b07_D3 Tumor -0.6
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8 Tumor -0.6
a467b905-fc0b-427b-8753-6d38dd_D3 Tumor -0.6
1425a1a1-c835-47a2-a9b9-4db5d0_D8 Tumor -0.6
c7aeb685-31b3-445e-8177-a3e729_D3 Tumor -0.7
21cab01c-e968-42cc-9651-1e53c0_D3 Tumor -0.7
b605fafc-f7dd-44cc-9c86-da04e3_D2 Tumor -0.7
dffcac99-9eac-4717-aeb6-f4a2e7_D8 Tumor -0.7
d0511ea6-43c3-4c61-b08e-cf49b7_D3 Tumor -0.7
4cdeecb5-19fb-493c-91f5-eb0efc_D3 Tumor -0.8
e2e83b72-b14b-4b06-9461-1115d6_D2 Tumor -0.8
d7608884-a0d6-4e9e-aac7-6cd813_D3 Tumor -0.9
e196a0b4-2a05-43de-bb30-ceb761_D2 Tumor -0.9
4bb08fad-fa5e-471e-978b-6b09ab_D2 Tumor -1.0
8af80ae9-2088-4124-91fb-8d6c17_D3 Tumor -1.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3 Tumor -1.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2 Tumor -1.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3 Tumor -1.2
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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 HPA034517
 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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