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GABARAP
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  • SUMMARY

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  • GABARAP
CANCER LIVER 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
LIHC TCGA LIHC VALIDATION PROTEIN LIHC CPTAC
Dictionary
Liver cancer
Human cancer
Liver hepatocellular carcinoma
LIVER HEPATOCELLULAR CARCINOMA (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.

GABARAP is not prognostic in Liver Hepatocellular Carcinoma (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.

: 469.32
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 484.4
Number of samples 362
Samples
Sample Description pTPM
TCGA-CC-A3M9-01A 45 years, male, asian, stage:Stage IIIA, dead, 300 days 1850.7
TCGA-DD-A3A6-01A 72 years, female, white, stage:Stage II, dead, 3258 days 1441.4
TCGA-UB-A7MA-01A 62 years, female, white, stage:Stage II, alive, 848 days 1233.6
TCGA-DD-AAC8-01A 72 years, male, asian, stage:Stage I, dead, 16 days 1123.9
TCGA-DD-AAE4-01A 49 years, female, asian, stage:Stage I, alive, 608 days 1052.8
TCGA-DD-AACI-01A 69 years, male, asian, stage:Stage II, alive, 1618 days 1052.7
TCGA-DD-AADI-01A 43 years, female, asian, stage:Stage I, alive, 1085 days 1042.8
TCGA-CC-A7IJ-01A 56 years, male, asian, stage:Stage II, alive, 382 days 1040.7
TCGA-G3-A25T-01A 45 years, female, white, stage:Stage IIIA, alive, 1553 days 1033.4
TCGA-DD-AADO-01A 55 years, male, asian, stage:Stage I, alive, 453 days 1021.7
TCGA-BC-A10Q-01A 72 years, female, white, stage:'--, dead, 1135 days 1012.5
TCGA-CC-A7IG-01A 47 years, male, asian, stage:Stage II, dead, 299 days 1006.0
TCGA-DD-AACO-01A 40 years, male, asian, stage:Stage I, alive, 1876 days 998.0
TCGA-FV-A4ZP-01A 78 years, male, white, stage:Stage IIIA, dead, 2486 days 978.7
TCGA-2Y-A9GY-01A 64 years, female, white, stage:Stage II, dead, 757 days 953.5
TCGA-DD-AA3A-01A 81 years, female, white, stage:Stage I, dead, 410 days 905.4
TCGA-ED-A82E-01A 60 years, female, asian, stage:Stage IIIA, alive, 408 days 881.2
TCGA-CC-A9FW-01A 68 years, male, asian, stage:Stage IIIA, alive, 248 days 863.6
TCGA-CC-A5UD-01A 45 years, male, asian, stage:Stage IIIA, dead, 304 days 860.3
TCGA-KR-A7K7-01A 61 years, female, white, stage:Stage II, alive, 951 days 853.5
TCGA-DD-AAD5-01A 54 years, male, asian, stage:Stage I, alive, 1345 days 830.1
TCGA-WX-AA44-01A 64 years, female, white, stage:Stage I, alive, 615 days 813.0
TCGA-CC-5260-01A 61 years, female, asian, stage:Stage IIIC, dead, 87 days 788.8
TCGA-DD-A3A1-01A 65 years, male, stage:Stage IIIA, dead, 233 days 785.0
TCGA-KR-A7K8-01A 57 years, male, stage:Stage I, alive, 906 days 770.7
TCGA-CC-A1HT-01A 50 years, male, asian, stage:Stage IIIA, dead, 101 days 763.9
TCGA-DD-A39X-01A 78 years, female, white, stage:Stage I, dead, 1694 days 755.5
TCGA-EP-A2KB-01A 46 years, female, white, stage:Stage I, dead, 596 days 735.5
TCGA-WQ-A9G7-01A 71 years, female, white, stage:'--, alive, 30 days 730.9
TCGA-G3-A25S-01A 64 years, male, white, stage:Stage I, dead, 416 days 727.2
TCGA-G3-AAV2-01A 50 years, male, white, stage:Stage I, alive, 372 days 725.5
TCGA-BC-A10S-01A 81 years, male, white, stage:'--, dead, 1423 days 724.7
TCGA-CC-5264-01A 71 years, male, asian, stage:Stage IIIA, dead, 102 days 723.6
TCGA-DD-A39Z-01A 43 years, female, stage:Stage II, dead, 601 days 722.6
TCGA-G3-AAV7-01A 38 years, male, asian, stage:Stage II, alive, 361 days 721.2
TCGA-G3-AAV6-01A 53 years, female, white, stage:Stage IIIA, dead, 65 days 713.1
TCGA-EP-A3RK-01A 73 years, male, white, stage:Stage IIIA, alive, 363 days 709.1
TCGA-GJ-A9DB-01A 68 years, male, white, stage:Stage I, dead, 67 days 704.7
TCGA-BC-A217-01A 75 years, female, white, stage:Stage II, dead, 1397 days 704.6
TCGA-3K-AAZ8-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 396 days 700.3
TCGA-DD-AACN-01A 32 years, male, asian, stage:Stage I, alive, 1302 days 688.0
TCGA-DD-AADJ-01A 70 years, female, asian, stage:Stage I, alive, 1066 days 680.9
TCGA-ZP-A9CZ-01A 72 years, male, asian, stage:'--, alive, 706 days 680.2
TCGA-2Y-A9H1-01A 58 years, male, white, stage:Stage I, dead, 1229 days 676.3
TCGA-G3-A3CJ-01A 52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days 675.4
TCGA-FV-A3I0-01A 76 years, female, white, stage:Stage II, alive, 848 days 674.7
TCGA-ED-A5KG-01A 60 years, female, asian, stage:Stage II, alive, 854 days 672.3
TCGA-MI-A75H-01A 77 years, male, white, stage:'--, alive, 747 days 671.6
TCGA-DD-A4NN-01A 56 years, female, white, stage:Stage I, dead, 899 days 670.7
TCGA-DD-AAE3-01A 50 years, male, asian, stage:Stage I, alive, 566 days 669.6
TCGA-DD-A1EC-01A 20 years, female, white, stage:Stage I, alive, 602 days 666.9
TCGA-G3-A25X-01A 73 years, male, asian, stage:Stage II, alive, 1779 days 666.4
TCGA-5R-AA1C-01A 57 years, male, white, stage:Stage II, alive, 520 days 666.4
TCGA-DD-A73G-01A 73 years, female, white, stage:Stage I, alive, 3478 days 666.1
TCGA-DD-AAE0-01A 45 years, female, asian, stage:Stage IIIA, alive, 555 days 663.4
TCGA-YA-A8S7-01A 68 years, male, white, stage:Stage IIIA, dead, 412 days 659.9
TCGA-DD-A1EF-01A 57 years, female, white, stage:Stage I, dead, 394 days 658.6
TCGA-DD-A113-01A 55 years, female, white, stage:Stage II, alive, 2425 days 649.6
TCGA-DD-A39V-01A 77 years, male, white, stage:Stage II, dead, 643 days 645.3
TCGA-2Y-A9H3-01A 45 years, male, white, stage:Stage II, alive, 1516 days 642.5
TCGA-DD-AACL-01A 66 years, female, asian, stage:Stage I, dead, 107 days 641.8
TCGA-G3-A7M9-01A 70 years, male, white, stage:Stage IIIB, dead, 56 days 638.6
TCGA-DD-AAVS-01A 56 years, male, asian, stage:Stage I, alive, 1823 days 637.0
TCGA-UB-A7MF-01A 56 years, male, white, stage:Stage IIIA, dead, 214 days 631.5
TCGA-LG-A9QC-01A 48 years, male, white, stage:Stage I, alive, 425 days 628.5
TCGA-DD-AACZ-01A 63 years, female, asian, stage:Stage I, dead, 171 days 627.2
TCGA-EP-A26S-01A 70 years, male, white, stage:Stage I, alive, 608 days 626.9
TCGA-ZP-A9D2-01A 51 years, male, white, stage:'--, dead, 765 days 625.3
TCGA-ED-A66X-01A 35 years, male, asian, stage:Stage IIIA, alive, 406 days 621.9
TCGA-BC-A10W-01A 50 years, male, asian, stage:'--, dead, 91 days 621.7
TCGA-XR-A8TF-01A 74 years, male, white, stage:Stage I, dead, 693 days 620.5
TCGA-DD-A4NP-01A 32 years, male, white, stage:Stage I, alive, 3308 days 613.3
TCGA-DD-AADM-01A 58 years, male, asian, stage:Stage II, dead, 12 days 607.9
TCGA-DD-AACB-01A 74 years, female, asian, stage:Stage I, alive, 2324 days 605.2
TCGA-DD-A39W-01A 29 years, female, white, stage:Stage III, dead, 827 days 604.6
TCGA-DD-A114-01A 42 years, male, black or african american, stage:Stage II, dead, 1149 days 602.2
TCGA-DD-AADQ-01A 59 years, male, asian, stage:Stage II, alive, 436 days 596.0
TCGA-5C-A9VH-01A 70 years, male, white, stage:Stage I, alive, 322 days 593.8
TCGA-G3-A3CK-01A 61 years, male, asian, stage:Stage I, alive, 585 days 592.2
TCGA-DD-AACK-01A 70 years, male, asian, stage:Stage I, alive, 9 days 589.4
TCGA-DD-AADS-01A 63 years, male, asian, stage:Stage I, alive, 474 days 587.3
TCGA-DD-A4NS-01A 61 years, female, white, stage:Stage I, dead, 2456 days 581.8
TCGA-CC-A123-01A 24 years, female, asian, stage:Stage IIIA, alive, 219 days 578.7
TCGA-CC-A7IH-01A 58 years, male, asian, stage:Stage IIIA, alive, 365 days 578.5
TCGA-ED-A7PZ-01A 61 years, male, asian, stage:Stage II, alive, 6 days 573.4
TCGA-CC-5263-01A 35 years, male, asian, stage:Stage IIIA, dead, 129 days 569.6
TCGA-CC-A3MA-01A 61 years, male, asian, stage:Stage IIIA, dead, 303 days 569.4
TCGA-ZS-A9CD-01A 73 years, male, white, stage:Stage II, dead, 1386 days 568.5
TCGA-FV-A495-01A 51 years, female, white, stage:Stage II, alive, 1 days 567.9
TCGA-GJ-A3OU-01A 59 years, male, white, stage:Stage I, alive, 879 days 562.1
TCGA-ED-A7PX-01A 48 years, female, asian, stage:Stage II, alive, 6 days 556.8
TCGA-DD-AAW3-01A 69 years, male, asian, stage:Stage I, alive, 1633 days 552.3
TCGA-DD-AADP-01A 45 years, male, asian, stage:Stage I, alive, 458 days 550.8
TCGA-CC-A8HU-01A 39 years, female, asian, stage:Stage IIIA, dead, 344 days 549.4
TCGA-DD-AAEG-01A 59 years, female, asian, stage:Stage I, alive, 719 days 548.7
TCGA-BC-A3KG-01A 68 years, female, white, stage:Stage II, alive, 680 days 548.4
TCGA-WQ-AB4B-01A 62 years, male, white, stage:Stage II, alive, 395 days 546.6
TCGA-MI-A75C-01A 64 years, male, white, stage:Stage I, alive, 291 days 543.3
TCGA-DD-AACD-01A 48 years, male, asian, stage:Stage I, dead, 381 days 542.7
TCGA-DD-A1EE-01A 73 years, male, white, stage:Stage IIIA, dead, 349 days 542.4
TCGA-FV-A2QQ-01A 80 years, male, white, stage:Stage I, alive, 729 days 539.3
TCGA-2Y-A9H6-01A 68 years, female, white, stage:Stage I, alive, 357 days 538.7
TCGA-ED-A7PY-01A 20 years, female, asian, stage:Stage II, alive, 390 days 538.1
TCGA-DD-A4NF-01A 72 years, male, white, stage:Stage I, alive, 942 days 537.8
TCGA-2Y-A9GX-01A 68 years, male, white, stage:Stage I, alive, 2442 days 535.1
TCGA-DD-A4NR-01A 85 years, female, white, stage:Stage I, dead, 9 days 533.6
TCGA-ED-A627-01A 74 years, male, white, stage:Stage I, alive, 423 days 532.5
TCGA-DD-AAW2-01A 69 years, male, asian, stage:Stage I, alive, 1855 days 530.8
TCGA-5C-A9VG-01A 58 years, male, white, stage:Stage II, alive, 328 days 530.4
TCGA-G3-AAV0-01A 58 years, male, asian, stage:Stage I, alive, 476 days 528.4
TCGA-ED-A97K-01A 54 years, male, asian, stage:Stage IIIA, alive, 6 days 527.3
TCGA-FV-A4ZQ-01A 52 years, male, white, stage:Stage I, alive, 12 days 527.2
TCGA-DD-AAE9-01A 69 years, male, asian, stage:Stage I, alive, 722 days 527.1
TCGA-5R-AA1D-01A 17 years, female, white, stage:Stage IIIA, alive, 449 days 526.1
TCGA-DD-A1EJ-01A 71 years, female, white, stage:Stage IIIC, dead, 1005 days 525.4
TCGA-G3-A25Y-01A 52 years, female, asian, stage:Stage I, dead, 452 days 525.2
TCGA-DD-AACP-01A 64 years, male, asian, stage:Stage I, alive, 415 days 524.7
TCGA-UB-A7MD-01A 67 years, male, black or african american, stage:Stage I, dead, 52 days 519.7
TCGA-BC-A69H-01A 64 years, male, white, stage:Stage II, alive, 444 days 517.6
TCGA-DD-AAVY-01A 56 years, male, asian, stage:Stage IIIA, alive, 1970 days 516.6
TCGA-DD-AACW-01A 43 years, male, asian, stage:Stage I, alive, 1424 days 515.3
TCGA-DD-AACU-01A 59 years, male, asian, stage:Stage I, alive, 1567 days 515.2
TCGA-FV-A3R3-01A 38 years, female, white, stage:Stage I, dead, 366 days 513.0
TCGA-G3-AAV3-01A 58 years, female, white, stage:Stage II, alive, 412 days 512.1
TCGA-G3-A7M6-01A 60 years, female, white, stage:Stage I, alive, 632 days 511.8
TCGA-CC-5262-01A 67 years, male, asian, stage:Stage IIIC, dead, 103 days 511.4
TCGA-BC-A10T-01A 76 years, male, white, stage:'--, dead, 837 days 511.2
TCGA-BW-A5NO-01A 50 years, male, black or african american, stage:Stage IIIA, alive, 20 days 511.1
TCGA-CC-A8HV-01A 51 years, female, asian, stage:Stage II, dead, 279 days 510.8
TCGA-2Y-A9H7-01A 81 years, female, white, stage:Stage I, alive, 1168 days 509.5
TCGA-CC-A3MB-01A 36 years, male, asian, stage:Stage IIIA, dead, 315 days 508.9
TCGA-ED-A66Y-01A 51 years, female, asian, stage:Stage IIIA, dead, 296 days 508.8
TCGA-G3-A3CI-01A 71 years, male, white, stage:Stage I, alive, 180 days 508.6
TCGA-XR-A8TE-01A 16 years, male, white, stage:Stage IIIA, alive, 925 days 507.4
TCGA-2Y-A9HB-01A 66 years, male, stage:Stage I, alive, 260 days 506.5
TCGA-DD-AADF-01A 64 years, female, asian, stage:Stage I, dead, 115 days 505.3
TCGA-5C-AAPD-01A 61 years, male, asian, stage:Stage II, alive, 20 days 505.1
TCGA-DD-A73E-01A 66 years, male, white, stage:Stage I, alive, 44 days 504.2
TCGA-EP-A2KA-01A 52 years, female, white, stage:Stage IIIA, dead, 627 days 503.6
TCGA-RC-A7S9-01A 47 years, female, asian, stage:Stage I, alive, 640 days 502.5
TCGA-G3-A3CG-01A 80 years, male, white, stage:Stage I, alive, 673 days 501.6
TCGA-DD-AAEH-01A 73 years, male, asian, stage:Stage I, alive, 784 days 499.3
TCGA-G3-A7M8-01A 31 years, male, asian, stage:Stage I, alive, 430 days 499.1
TCGA-DD-A39Y-01A 67 years, male, asian, stage:Stage I, dead, 171 days 498.8
TCGA-DD-AAVV-01A 56 years, male, asian, stage:Stage II, alive, 2455 days 498.6
TCGA-DD-A73D-01A 68 years, female, white, stage:Stage II, alive, 693 days 494.7
TCGA-DD-A73C-01A 65 years, female, white, stage:Stage IIIA, alive, 701 days 493.9
TCGA-DD-AACG-01A 52 years, male, asian, stage:Stage II, dead, 469 days 492.0
TCGA-DD-A1EL-01A 23 years, male, black or african american, stage:Stage II, dead, 415 days 491.1
TCGA-2Y-A9GW-01A 64 years, male, white, stage:Stage I, dead, 1271 days 491.0
TCGA-CC-A7IE-01A 57 years, male, asian, stage:Stage IIIA, dead, 217 days 489.2
TCGA-ZS-A9CG-01A 55 years, male, white, stage:Stage II, alive, 341 days 485.9
TCGA-G3-A7M7-01A 65 years, male, white, stage:Stage I, alive, 361 days 485.0
TCGA-ZP-A9CY-01A 66 years, female, white, stage:'--, alive, 782 days 481.4
TCGA-ZP-A9CV-01A 59 years, male, white, stage:'--, dead, 1088 days 478.0
TCGA-BC-A216-01A 62 years, female, white, stage:Stage IIIA, alive, 1351 days 477.6
TCGA-ED-A8O5-01A 59 years, female, asian, stage:Stage IIIA, alive, 406 days 476.1
TCGA-2Y-A9GU-01A 55 years, female, white, stage:Stage I, alive, 1939 days 474.9
TCGA-K7-AAU7-01A 61 years, male, white, stage:Stage II, alive, 359 days 474.7
TCGA-CC-5261-01A 44 years, male, asian, stage:Stage II, dead, 97 days 474.3
TCGA-BC-A69I-01A 69 years, male, white, stage:Stage I, alive, 387 days 473.9
TCGA-BC-A10R-01A 66 years, female, white, stage:'--, dead, 308 days 470.6
TCGA-BC-A112-01A 80 years, male, white, stage:'--, dead, 153 days 469.5
TCGA-DD-AAVU-01A 46 years, male, asian, stage:Stage II, alive, 2202 days 469.1
TCGA-EP-A12J-01A 62 years, male, black or african american, stage:Stage I, alive, 570 days 466.9
TCGA-K7-A6G5-01A 66 years, male, white, stage:Stage I, alive, 512 days 466.4
TCGA-2Y-A9H0-01A 49 years, male, white, stage:Stage IIIA, alive, 3675 days 465.8
TCGA-DD-A4NV-01A 61 years, male, white, stage:Stage IIIA, alive, 2398 days 465.5
TCGA-MR-A8JO-01A 34 years, male, white, stage:Stage I, alive, 330 days 463.2
TCGA-DD-A4NE-01A 75 years, female, white, stage:Stage IIIA, dead, 660 days 462.3
TCGA-DD-A1EG-01A 76 years, male, white, stage:Stage I, dead, 1372 days 461.5
TCGA-2Y-A9H2-01A 64 years, female, white, stage:Stage I, alive, 1731 days 460.8
TCGA-RC-A6M5-01A 20 years, female, white, stage:Stage IVA, alive, 15 days 457.4
TCGA-DD-A118-01A 77 years, female, white, stage:Stage II, alive, 3437 days 457.3
TCGA-DD-A3A8-01A 75 years, male, white, stage:Stage II, dead, 11 days 456.8
TCGA-DD-AADN-01A 59 years, male, asian, stage:Stage I, alive, 898 days 456.7
TCGA-DD-AAD2-01A 66 years, male, asian, stage:Stage I, alive, 658 days 456.6
TCGA-DD-A4NH-01A 65 years, female, white, stage:Stage IIIB, alive, 917 days 456.6
TCGA-BC-A10X-01A 52 years, female, white, stage:Stage IIIA, dead, 770 days 456.5
TCGA-KR-A7K2-01A 64 years, male, white, stage:Stage I, alive, 829 days 456.5
TCGA-DD-AADK-01A 68 years, female, asian, stage:Stage II, alive, 1049 days 446.4
TCGA-DD-AAVQ-01A 38 years, male, asian, stage:Stage I, alive, 2728 days 445.9
TCGA-EP-A3JL-01A 76 years, male, white, stage:Stage I, alive, 303 days 445.5
TCGA-DD-A3A2-01A 76 years, female, white, stage:Stage I, dead, 2131 days 445.1
TCGA-UB-A7MC-01A 59 years, male, white, stage:Stage IIIA, alive, 500 days 443.3
TCGA-CC-A7IK-01A 59 years, male, asian, stage:Stage IIIA, dead, 262 days 442.1
TCGA-DD-A11B-01A 73 years, male, white, stage:Stage I, dead, 14 days 442.1
TCGA-G3-A6UC-01A 65 years, male, white, stage:Stage IIIB, alive, 671 days 441.4
TCGA-CC-5259-01A 60 years, female, asian, stage:Stage IIIC, alive, 250 days 439.7
TCGA-2Y-A9GS-01A 58 years, male, white, stage:'--, dead, 724 days 439.2
TCGA-DD-AACT-01A 69 years, female, asian, stage:Stage I, alive, 1562 days 438.8
TCGA-DD-A1ED-01A 68 years, male, white, stage:Stage I, alive, 2301 days 438.4
TCGA-ED-A4XI-01A 58 years, male, asian, stage:Stage II, alive, 819 days 437.7
TCGA-WX-AA47-01A 33 years, female, white, stage:Stage IIIA, dead, 556 days 437.2
TCGA-DD-A4NB-01A 25 years, male, white, stage:Stage I, alive, 989 days 435.5
TCGA-HP-A5MZ-01A 78 years, male, stage:Stage I, dead, 91 days 435.3
TCGA-2Y-A9H5-01A 59 years, female, white, stage:Stage I, dead, 555 days 435.2
TCGA-DD-AAVZ-01A 38 years, male, asian, stage:Stage I, alive, 1900 days 434.4
TCGA-BC-A10U-01A 69 years, male, white, stage:'--, dead, 837 days 432.5
TCGA-RC-A7SH-01A 42 years, male, asian, stage:Stage II, alive, 468 days 431.6
TCGA-G3-AAV4-01A 83 years, female, white, stage:Stage I, dead, 27 days 429.9
TCGA-DD-AADV-01A 50 years, male, asian, stage:Stage I, alive, 574 days 428.6
TCGA-CC-A5UE-01A 48 years, male, asian, stage:Stage IIIB, dead, 272 days 425.9
TCGA-DD-AAVX-01A 38 years, male, asian, stage:Stage II, alive, 1718 days 425.7
TCGA-DD-AAVP-01A 48 years, male, asian, stage:Stage I, alive, 2752 days 425.6
TCGA-DD-AAEE-01A 55 years, male, asian, stage:Stage I, alive, 810 days 425.5
TCGA-DD-A4ND-01A 56 years, female, white, stage:Stage I, alive, 2746 days 424.3
TCGA-MI-A75G-01A 63 years, male, white, stage:Stage II, alive, 698 days 422.2
TCGA-DD-AACS-01A 39 years, male, asian, stage:Stage I, alive, 1804 days 421.8
TCGA-BD-A3ER-01A 62 years, male, white, stage:Stage II, alive, 1115 days 420.8
TCGA-ED-A7XO-01A 29 years, male, asian, stage:Stage IIIA, alive, 427 days 420.6
TCGA-DD-AACH-01A 69 years, male, asian, stage:Stage II, dead, 195 days 419.7
TCGA-DD-AAVR-01A 44 years, male, asian, stage:Stage I, alive, 2513 days 418.1
TCGA-DD-AACC-01A 61 years, male, asian, stage:Stage I, dead, 1685 days 418.0
TCGA-DD-AAW0-01A 54 years, male, asian, stage:Stage I, alive, 2015 days 417.6
TCGA-DD-AADA-01A 66 years, female, asian, stage:Stage I, alive, 1233 days 416.8
TCGA-DD-AADB-01A 51 years, male, asian, stage:Stage I, alive, 1242 days 416.4
TCGA-GJ-A6C0-01A 75 years, female, white, stage:Stage II, dead, 31 days 413.9
TCGA-CC-A8HT-01A 74 years, male, asian, stage:Stage IIIA, dead, 140 days 413.5
TCGA-BD-A3EP-01A 75 years, female, black or african american, stage:Stage I, alive, 409 days 412.1
TCGA-G3-A5SJ-01A 59 years, male, white, stage:Stage I, alive, 698 days 411.2
TCGA-BC-A110-01A 51 years, female, black or african american, stage:'--, dead, 2116 days 410.0
TCGA-UB-AA0V-01A 69 years, female, white, stage:Stage I, alive, 314 days 409.4
TCGA-DD-AADU-01A 60 years, male, asian, stage:Stage II, alive, 554 days 408.5
TCGA-K7-A5RF-01A 64 years, male, white, stage:Stage I, alive, 631 days 406.1
TCGA-DD-AADL-01A 58 years, male, asian, stage:Stage I, alive, 636 days 403.7
TCGA-PD-A5DF-01A 58 years, female, white, stage:Stage IIIB, dead, 639 days 402.6
TCGA-DD-AADD-01A 51 years, male, asian, stage:Stage I, alive, 1231 days 401.9
TCGA-DD-AAE7-01A 72 years, male, asian, stage:Stage I, alive, 644 days 401.0
TCGA-DD-A1EI-01A 46 years, male, asian, stage:Stage I, alive, 183 days 400.2
TCGA-DD-A4NA-01A 67 years, female, white, stage:Stage IIIC, alive, 1008 days 400.1
TCGA-DD-AAE6-01A 59 years, female, asian, stage:Stage I, alive, 141 days 393.9
TCGA-T1-A6J8-01A 68 years, male, white, stage:'--, alive, 23 days 393.7
TCGA-DD-AADC-01A 53 years, male, asian, stage:Stage I, dead, 425 days 393.5
TCGA-UB-A7ME-01A 51 years, male, asian, stage:Stage I, alive, 486 days 390.8
TCGA-ES-A2HT-01A 54 years, male, black or african american, stage:Stage I, dead, 438 days 390.1
TCGA-G3-A25V-01A 68 years, male, white, stage:Stage I, alive, 860 days 388.3
TCGA-LG-A9QD-01A 68 years, male, white, stage:Stage IIIA, alive, 366 days 384.7
TCGA-DD-AACY-01A 61 years, male, asian, stage:Stage I, alive, 1450 days 383.4
TCGA-DD-AAD1-01A 51 years, female, asian, stage:Stage I, alive, 564 days 383.4
TCGA-DD-AACV-01A 53 years, male, asian, stage:Stage I, alive, 1531 days 382.2
TCGA-MI-A75I-01A 61 years, male, black or african american, stage:'--, alive, 630 days 381.7
TCGA-MI-A75E-01A 61 years, male, white, stage:Stage IIIC, alive, 507 days 380.8
TCGA-DD-AADY-01A 55 years, female, asian, stage:Stage I, alive, 555 days 380.3
TCGA-DD-AADW-01A 48 years, male, asian, stage:Stage I, alive, 587 days 379.0
TCGA-2Y-A9H4-01A 68 years, male, black or african american, stage:Stage I, alive, 1452 days 377.4
TCGA-XR-A8TD-01A 49 years, female, white, stage:Stage IIIB, alive, 1030 days 376.8
TCGA-MR-A520-01A 58 years, male, white, stage:Stage I, alive, 229 days 376.1
TCGA-FV-A3R2-01A 75 years, male, white, stage:Stage I, dead, 194 days 375.7
TCGA-KR-A7K0-01A 65 years, male, white, stage:Stage I, dead, 65 days 374.7
TCGA-G3-A25Z-01A 58 years, male, asian, stage:Stage I, alive, 655 days 374.2
TCGA-DD-A73F-01A 77 years, female, white, stage:Stage I, alive, 1085 days 372.8
TCGA-ED-A459-01A 47 years, male, asian, stage:Stage II, alive, 910 days 370.0
TCGA-DD-AAEK-01A 51 years, male, asian, stage:Stage II, alive, 1067 days 368.8
TCGA-UB-AA0U-01A 60 years, male, white, stage:Stage II, alive, 327 days 367.9
TCGA-UB-A7MB-01A 24 years, male, white, stage:Stage II, alive, 601 days 365.7
TCGA-O8-A75V-01A 54 years, male, stage:Stage I, alive, 538 days 365.4
TCGA-RC-A6M6-01A 75 years, male, white, stage:Stage II, alive, 9 days 365.2
TCGA-CC-A8HS-01A 18 years, male, asian, stage:Stage IIIC, dead, 300 days 362.1
TCGA-DD-AAC9-01A 51 years, male, asian, stage:Stage I, alive, 347 days 361.8
TCGA-RC-A7SK-01A 59 years, male, asian, stage:Stage I, alive, 472 days 361.3
TCGA-BC-A8YO-01A 66 years, female, white, stage:Stage IIIC, alive, 562 days 360.4
TCGA-4R-AA8I-01A 66 years, male, white, stage:Stage II, dead, 262 days 360.4
TCGA-DD-A116-01A 68 years, male, asian, stage:Stage IIIA, dead, 1622 days 360.0
TCGA-DD-A1EH-01A 23 years, male, white, stage:Stage III, alive, 1495 days 353.1
TCGA-ZP-A9D0-01A 67 years, female, black or african american, stage:'--, alive, 1091 days 352.2
TCGA-2Y-A9HA-01A 70 years, male, white, stage:Stage II, dead, 36 days 351.0
TCGA-RG-A7D4-01A 69 years, male, black or african american, stage:Stage II, alive, 1098 days 350.8
TCGA-WX-AA46-01A 61 years, male, white, stage:Stage II, alive, 756 days 350.8
TCGA-DD-AADR-01A 58 years, male, asian, stage:Stage I, alive, 2028 days 350.3
TCGA-DD-A115-01A 53 years, male, white, stage:Stage IIIA, dead, 2542 days 349.1
TCGA-BC-A3KF-01A 66 years, female, white, stage:Stage I, alive, 8 days 347.0
TCGA-ZS-A9CF-01A 64 years, male, white, stage:Stage II, alive, 2412 days 346.9
TCGA-ZP-A9D1-01A 56 years, female, white, stage:'--, alive, 21 days 346.2
TCGA-G3-AAUZ-01A 48 years, male, stage:Stage I, alive, 480 days 345.1
TCGA-FV-A3I1-01A 81 years, female, white, stage:Stage II, dead, 247 days 344.2
TCGA-DD-A11D-01A 57 years, female, white, stage:Stage I, dead, 1560 days 344.2
TCGA-DD-AACX-01A 66 years, male, asian, stage:Stage II, alive, 170 days 342.6
TCGA-XR-A8TG-01A 58 years, male, white, stage:Stage I, alive, 898 days 342.5
TCGA-DD-A4NJ-01A 54 years, female, white, stage:Stage II, alive, 928 days 339.9
TCGA-DD-A73B-01A 72 years, female, white, stage:Stage I, dead, 283 days 337.9
TCGA-DD-A3A7-01A 67 years, male, stage:Stage IIIB, dead, 419 days 337.8
TCGA-RC-A6M4-01A 74 years, female, white, stage:Stage IIIA, alive, 22 days 337.8
TCGA-CC-5258-01A 48 years, male, asian, stage:Stage II, dead, 129 days 336.2
TCGA-QA-A7B7-01A 48 years, male, black or african american, stage:Stage II, alive, 94 days 334.7
TCGA-DD-A1EK-01A 64 years, female, white, stage:Stage IVB, dead, 558 days 333.1
TCGA-DD-AACJ-01A 75 years, male, asian, stage:Stage II, alive, 2102 days 331.1
TCGA-DD-A3A5-01A 66 years, female, white, stage:Stage III, dead, 3125 days 331.0
TCGA-2Y-A9H8-01A 85 years, female, white, stage:'--, dead, 633 days 330.4
TCGA-DD-A119-01A 40 years, male, asian, stage:Stage IV, dead, 223 days 330.1
TCGA-DD-AAD3-01A 43 years, male, asian, stage:Stage I, alive, 1295 days 327.7
TCGA-ED-A8O6-01A 50 years, female, asian, stage:Stage IIIA, dead, 56 days 326.9
TCGA-DD-AACQ-01A 50 years, male, asian, stage:Stage II, dead, 432 days 325.9
TCGA-BC-A10Y-01A 76 years, male, white, stage:'--, dead, 711 days 325.8
TCGA-HP-A5N0-01A 90 years, female, stage:'--, dead, 752 days 322.9
TCGA-K7-A5RG-01A 66 years, male, black or african american, stage:Stage I, alive, 519 days 320.7
TCGA-RC-A7SF-01A 66 years, male, asian, stage:Stage I, alive, 579 days 320.6
TCGA-G3-AAV1-01A 51 years, male, asian, stage:Stage IIIC, dead, 359 days 318.7
TCGA-FV-A2QR-01A 75 years, male, white, stage:Stage I, dead, 581 days 315.7
TCGA-DD-A3A3-01A 45 years, male, asian, stage:Stage I, dead, 535 days 314.6
TCGA-G3-A5SM-01A 58 years, male, white, stage:Stage II, alive, 520 days 313.4
TCGA-DD-AACF-01A 68 years, male, asian, stage:Stage I, dead, 365 days 312.6
TCGA-DD-AAE1-01A 52 years, male, asian, stage:Stage I, alive, 552 days 311.5
TCGA-ED-A7XP-01A 53 years, female, asian, stage:Stage II, alive, 400 days 311.3
TCGA-DD-A4NK-01A 80 years, female, white, stage:Stage IIIA, dead, 1210 days 309.7
TCGA-CC-A5UC-01A 63 years, male, asian, stage:Stage IIIA, dead, 347 days 308.9
TCGA-CC-A3MC-01A 54 years, male, asian, stage:Stage IIIA, alive, 363 days 308.3
TCGA-NI-A4U2-01A 71 years, male, white, stage:Stage IIIA, dead, 1791 days 307.5
TCGA-RC-A7SB-01A 53 years, male, asian, stage:Stage II, alive, 588 days 304.6
TCGA-DD-A4NI-01A 67 years, male, white, stage:Stage II, alive, 816 days 304.6
TCGA-G3-AAV5-01A 67 years, male, white, stage:Stage II, alive, 354 days 303.3
TCGA-DD-A3A9-01A 64 years, female, white, stage:Stage IVB, dead, 931 days 303.3
TCGA-G3-A5SI-01A 44 years, male, asian, stage:Stage II, dead, 768 days 303.0
TCGA-FV-A23B-01A 70 years, female, white, stage:Stage II, dead, 1852 days 301.4
TCGA-DD-AAVW-01A 35 years, male, asian, stage:Stage I, alive, 2317 days 298.8
TCGA-DD-AAE2-01A 51 years, male, asian, stage:Stage I, alive, 638 days 298.7
TCGA-DD-A11C-01A 69 years, male, white, stage:Stage I, alive, 662 days 298.2
TCGA-DD-A1EA-01A 68 years, male, asian, stage:Stage II, alive, 2415 days 297.9
TCGA-DD-A4NL-01A 46 years, male, white, stage:Stage I, alive, 1711 days 296.8
TCGA-DD-AADG-01A 70 years, male, asian, stage:Stage IIIA, alive, 1145 days 294.4
TCGA-BC-A10Z-01A 62 years, female, white, stage:Stage I, dead, 34 days 294.2
TCGA-DD-AAD8-01A 73 years, female, asian, stage:Stage I, alive, 1219 days 291.2
TCGA-5R-AAAM-01A 65 years, female, white, stage:Stage II, dead, 46 days 290.9
TCGA-DD-A4NQ-01A 60 years, male, white, stage:Stage II, dead, 373 days 289.3
TCGA-DD-A4NG-01A 77 years, male, white, stage:Stage IIIA, dead, 802 days 286.0
TCGA-DD-AACA-01A 65 years, male, asian, stage:Stage I, alive, 2301 days 285.1
TCGA-2Y-A9GZ-01A 82 years, female, white, stage:Stage II, dead, 848 days 280.0
TCGA-2Y-A9H9-01A 70 years, male, white, stage:Stage I, alive, 697 days 279.6
TCGA-DD-AAEB-01A 60 years, male, asian, stage:Stage I, alive, 478 days 279.4
TCGA-NI-A8LF-01A 74 years, male, white, stage:Stage I, alive, 799 days 278.3
TCGA-BD-A2L6-01A 69 years, male, white, stage:'--, alive, 1363 days 277.5
TCGA-CC-A7II-01A 54 years, male, asian, stage:Stage IIIA, alive, 399 days 274.9
TCGA-DD-AAED-01A 51 years, male, asian, stage:Stage I, alive, 763 days 273.1
TCGA-G3-A7M5-01A 76 years, male, asian, stage:Stage I, alive, 447 days 270.5
TCGA-BC-A5W4-01A 69 years, male, white, stage:Stage IIIA, dead, 547 days 269.0
TCGA-LG-A6GG-01A 79 years, female, white, stage:Stage II, alive, 387 days 265.5
TCGA-DD-AAD0-01A 73 years, female, asian, stage:Stage I, alive, 137 days 264.2
TCGA-DD-AAEA-01A 65 years, male, asian, stage:Stage I, alive, 575 days 261.9
TCGA-DD-A4NO-01A 65 years, male, white, stage:Stage I, alive, 2245 days 257.2
TCGA-2Y-A9GV-01A 54 years, female, white, stage:Stage I, dead, 2532 days 254.8
TCGA-EP-A2KC-01A 62 years, male, black or african american, stage:Stage I, dead, 19 days 253.4
TCGA-XR-A8TC-01A 43 years, female, white, stage:Stage I, alive, 1339 days 252.2
TCGA-DD-AAEI-01A 72 years, male, asian, stage:Stage I, alive, 1531 days 251.8
TCGA-ES-A2HS-01A 80 years, male, white, stage:Stage I, dead, 688 days 248.0
TCGA-2Y-A9GT-01A 51 years, male, white, stage:Stage I, dead, 1624 days 247.9
TCGA-DD-AAW1-01A 55 years, male, asian, stage:Stage IIIA, alive, 1989 days 246.7
TCGA-G3-A3CH-01A 53 years, male, asian, stage:Stage IIIA, alive, 780 days 246.3
TCGA-DD-A1EB-01A 72 years, female, stage:Stage I, alive, 2017 days 243.5
TCGA-G3-A25U-01A 63 years, female, asian, stage:Stage I, alive, 1636 days 231.8
TCGA-ZP-A9D4-01A 64 years, female, white, stage:'--, alive, 395 days 231.1
TCGA-DD-A3A4-01A 37 years, male, white, stage:Stage IIIA, dead, 612 days 230.9
TCGA-G3-A5SL-01A 70 years, male, white, stage:Stage II, alive, 621 days 228.0
TCGA-CC-A9FS-01A 55 years, male, asian, stage:Stage II, alive, 211 days 227.4
TCGA-FV-A496-01A 84 years, female, white, stage:Stage I, alive, 10 days 227.1
TCGA-CC-A7IL-01A 61 years, male, asian, stage:Stage IIIA, dead, 278 days 217.3
TCGA-DD-A73A-01A 71 years, male, white, stage:Stage I, alive, 728 days 213.6
TCGA-ZS-A9CE-01A 79 years, female, white, stage:Stage II, alive, 1241 days 203.3
TCGA-G3-A5SK-01A 58 years, male, white, stage:Stage I, alive, 744 days 198.6
TCGA-WJ-A86L-01A 68 years, female, white, stage:Stage I, alive, 345 days 195.2
TCGA-DD-AACE-01A 62 years, male, asian, stage:Stage I, alive, 2184 days 183.3
TCGA-DD-AAD6-01A 66 years, male, asian, stage:Stage IIIA, alive, 672 days 170.1
TCGA-CC-A7IF-01A 59 years, male, asian, stage:Stage IIIA, dead, 649 days 129.4
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LIVER HEPATOCELLULAR CARCINOMA (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.

GABARAP is not prognostic in Liver Hepatocellular Carcinoma (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.

: 500.16
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 432.1
Number of samples 231
Samples
Sample Description pTPM
DO23523 52 years, male, NA, stage:3, alive, 1080 days 1377.0
DO45303 62 years, female, NA, stage:3, alive, 990 days 1173.0
DO45289 78 years, female, NA, stage:3, alive, 360 days 1166.9
DO45277 64 years, male, NA, stage:3, alive, 600 days 1141.5
DO23508 79 years, female, NA, stage:2, alive, 390 days 1122.0
DO45249 57 years, male, NA, stage:1, alive, 630 days 1037.3
DO45285 59 years, male, NA, stage:3, alive, 480 days 1023.3
DO48747 62 years, male, NA, stage:3, alive, 540 days 999.9
DO45119 74 years, male, NA, stage:3, dead, 510 days 940.7
DO45299 70 years, female, NA, stage:1, alive, 1440 days 903.6
DO45307 54 years, female, NA, stage:4, dead, 240 days 894.2
DO50802 49 years, male, NA, stage:2, alive, 930 days 848.4
DO45139 63 years, male, NA, stage:3, alive, 1320 days 826.9
DO50829 78 years, male, NA, stage:3, alive, 570 days 826.4
DO45287 74 years, male, NA, stage:1, alive, 390 days 812.7
DO23547 74 years, male, NA, stage:1, alive, 1020 days 792.9
DO45259 65 years, male, NA, stage:3, alive, 330 days 791.2
DO45305 66 years, male, NA, stage:4, alive, 300 days 778.5
DO50839 47 years, female, NA, stage:3, alive, 330 days 754.4
DO45155 69 years, male, NA, stage:2, alive, 2160 days 750.2
DO23526 66 years, male, NA, stage:3, alive, 1050 days 741.6
DO45185 89 years, male, NA, stage:2, alive, 600 days 688.7
DO48717 54 years, male, NA, stage:4, dead, 180 days 686.2
DO48737 52 years, male, NA, stage:1, alive, 720 days 685.2
DO23542 66 years, male, NA, stage:3, alive, 960 days 682.0
DO23530 53 years, male, NA, stage:4, dead, 180 days 668.7
DO45279 67 years, male, NA, stage:3, alive, 1290 days 667.3
DO45209 70 years, male, NA, stage:4, alive, 1350 days 660.3
DO50800 74 years, male, NA, stage:2, alive, 510 days 644.9
DO45103 47 years, male, NA, stage:3, alive, 450 days 641.3
DO45251 57 years, female, NA, stage:2, alive, 900 days 634.5
DO45301 56 years, male, NA, stage:2, dead, 1440 days 630.0
DO48719 80 years, male, NA, stage:2, alive, 690 days 625.8
DO50825 70 years, male, NA, stage:2, alive, 390 days 615.9
DO50805 72 years, male, NA, stage:2, alive, 690 days 615.7
DO48695 77 years, male, NA, stage:2, alive, 720 days 614.3
DO45179 78 years, female, NA, stage:2, alive, 600 days 610.6
DO45205 67 years, female, NA, stage:2, dead, 90 days 604.9
DO45131 53 years, male, NA, stage:4, dead, 360 days 593.4
DO45273 62 years, male, NA, stage:2, alive, 480 days 590.1
DO23514 64 years, male, NA, stage:2, alive, 1290 days 580.8
DO50783 62 years, male, NA, stage:3, alive, 480 days 580.5
DO50809 56 years, male, NA, stage:3, dead, 720 days 578.5
DO48759 73 years, male, NA, stage:3, alive, 720 days 573.7
DO45141 73 years, male, NA, stage:2, alive, 1320 days 569.6
DO50778 60 years, male, NA, stage:4, alive, 630 days 568.5
DO45095 66 years, male, NA, stage:2, alive, 1620 days 568.3
DO23521 63 years, male, NA, stage:3, alive, 1110 days 564.9
DO45097 69 years, male, NA, stage:3, alive, 1620 days 558.7
DO45231 84 years, male, NA, stage:2, alive, 930 days 549.7
DO48741 64 years, male, NA, stage:3, alive, 240 days 548.0
DO50776 75 years, male, NA, stage:1, alive, 690 days 547.5
DO23516 69 years, male, NA, stage:3, dead, 20 days 542.6
DO45261 74 years, male, NA, stage:3, alive, 990 days 538.5
DO45135 77 years, male, NA, stage:1, alive, 1410 days 530.5
DO45257 46 years, male, NA, stage:3, alive, 810 days 530.1
DO50811 62 years, male, NA, stage:1, alive, 450 days 525.2
DO50806 70 years, male, NA, stage:4, alive, 540 days 523.1
DO48700 78 years, female, NA, stage:2, alive, 810 days 522.3
DO50818 65 years, male, NA, stage:2, alive, 510 days 520.1
DO45109 63 years, male, NA, stage:2, alive, 1590 days 507.2
DO48720 62 years, female, NA, stage:2, alive, 570 days 503.1
DO45283 60 years, male, NA, stage:3, alive, 510 days 502.9
DO45191 61 years, female, NA, stage:2, alive, 1200 days 502.7
DO50859 77 years, male, NA, stage:2, alive, 180 days 500.9
DO45171 56 years, male, NA, stage:3, alive, 600 days 500.7
DO45145 78 years, male, NA, stage:3, dead, 60 days 499.7
DO50813 56 years, male, NA, stage:2, alive, 420 days 498.9
DO45297 61 years, female, NA, stage:4, dead, 1260 days 496.1
DO50822 66 years, male, NA, stage:2, alive, 510 days 495.7
DO45092 62 years, male, NA, stage:4, dead, 1200 days 492.6
DO45161 74 years, male, NA, stage:2, dead, 540 days 488.6
DO48736 76 years, female, NA, stage:1, alive, 600 days 488.2
DO48697 64 years, female, NA, stage:2, dead, 810 days 486.5
DO45211 76 years, male, NA, stage:3, alive, 240 days 482.4
DO23548 78 years, female, NA, stage:1, alive, 840 days 472.2
DO23535 67 years, male, NA, stage:1, alive, 960 days 470.1
DO45275 65 years, male, NA, stage:3, dead, 10 days 465.9
DO48723 73 years, male, NA, stage:1, alive, 600 days 465.8
DO48732 73 years, male, NA, stage:3, alive, 630 days 465.1
DO45199 86 years, female, NA, stage:2, alive, 1350 days 460.5
DO50819 72 years, female, NA, stage:2, alive, 510 days 458.4
DO23528 45 years, female, NA, stage:2, alive, 1020 days 456.7
DO50817 75 years, male, NA, stage:2, alive, 390 days 446.9
DO23529 72 years, male, NA, stage:4, alive, 930 days 446.7
DO45263 67 years, male, NA, stage:3, dead, 270 days 445.9
DO45129 61 years, male, NA, stage:3, alive, 1470 days 444.7
DO48677 58 years, male, NA, stage:3, alive, 1140 days 444.3
DO23519 65 years, male, NA, stage:3, alive, 630 days 439.4
DO45189 85 years, female, NA, stage:2, alive, 1200 days 436.1
DO45183 72 years, female, NA, stage:2, dead, 570 days 434.6
DO23536 56 years, male, NA, stage:2, alive, 930 days 429.2
DO48728 74 years, female, NA, stage:2, alive, 150 days 427.7
DO45233 83 years, male, NA, stage:3, alive, 900 days 422.2
DO45121 61 years, male, NA, stage:3, alive, 1530 days 419.6
DO45159 65 years, male, NA, stage:3, alive, 1470 days 418.5
DO45094 76 years, male, NA, stage:3, alive, 1650 days 417.8
DO227801 77 years, female, NA, stage:1, alive, 660 days 416.4
DO23541 65 years, male, NA, stage:2, alive, 930 days 413.6
DO45177 81 years, female, NA, stage:3, alive, 1260 days 411.8
DO45221 75 years, female, NA, stage:4, dead, 390 days 409.7
DO50814 83 years, male, NA, stage:3, alive, 420 days 407.3
DO45267 73 years, male, NA, stage:3, dead, 570 days 402.3
DO45165 75 years, male, NA, stage:2, alive, 690 days 401.8
DO48761 55 years, male, NA, stage:2, alive, 870 days 400.2
DO50791 79 years, female, NA, stage:1, dead, 480 days 398.9
DO23513 76 years, male, NA, stage:3, alive, 1200 days 396.0
DO48721 58 years, female, NA, stage:1, alive, 900 days 393.1
DO45203 71 years, female, NA, stage:2, alive, 1170 days 390.6
DO50844 75 years, male, NA, stage:4, alive, 300 days 390.2
DO50804 81 years, male, NA, stage:2, alive, 720 days 389.4
DO45181 84 years, female, NA, stage:2, alive, 1200 days 388.9
DO45215 65 years, male, NA, stage:2, alive, 1170 days 388.6
DO45099 46 years, male, NA, stage:3, alive, 1590 days 388.5
DO45255 81 years, male, NA, stage:3, alive, 720 days 385.1
DO23515 71 years, male, NA, stage:2, alive, 1230 days 373.3
DO23549 74 years, male, NA, stage:3, alive, 990 days 372.0
DO48674 80 years, male, NA, stage:2, alive, 1260 days 372.0
DO48730 73 years, female, NA, stage:2, alive, 630 days 371.3
DO48733 72 years, male, NA, stage:2, alive, 600 days 370.6
DO23524 71 years, female, NA, stage:2, alive, 1050 days 369.2
DO45153 77 years, female, NA, stage:2, alive, 1380 days 364.8
DO23511 83 years, female, NA, stage:3, dead, 180 days 360.2
DO45157 62 years, male, NA, stage:2, alive, 1980 days 359.4
DO50816 63 years, male, NA, stage:2, alive, 390 days 354.9
DO50857 72 years, male, NA, stage:2, alive, 210 days 353.7
DO23545 67 years, male, NA, stage:2, dead, 570 days 353.5
DO23525 71 years, male, NA, stage:4, alive, 1050 days 350.6
DO48712 50 years, male, NA, stage:2, alive, 810 days 349.9
DO23551 73 years, male, NA, stage:3, dead, 150 days 348.1
DO23510 80 years, female, NA, stage:2, alive, 870 days 347.3
DO48701 78 years, male, NA, stage:2, alive, 780 days 346.3
DO48679 72 years, male, NA, stage:2, alive, 1200 days 340.4
DO50855 47 years, male, NA, stage:2, alive, 570 days 339.9
DO45143 69 years, male, NA, stage:3, alive, 1290 days 338.0
DO45219 78 years, male, NA, stage:2, alive, 1080 days 337.9
DO48672 81 years, male, NA, stage:2, alive, 450 days 333.5
DO45217 69 years, female, NA, stage:3, dead, 270 days 333.4
DO23537 79 years, male, NA, stage:2, dead, 900 days 331.3
DO45247 31 years, female, NA, stage:2, alive, 210 days 328.6
DO45229 74 years, male, NA, stage:1, alive, 990 days 327.8
DO48760 70 years, female, NA, stage:2, alive, 690 days 327.2
DO23544 67 years, male, NA, stage:2, alive, 960 days 326.3
DO45223 67 years, male, NA, stage:4, alive, 1020 days 323.7
DO50787 63 years, male, NA, stage:3, alive, 480 days 323.4
DO50840 49 years, male, NA, stage:2, alive, 330 days 322.2
DO48757 68 years, female, NA, stage:3, alive, 480 days 321.5
DO45093 71 years, male, NA, stage:2, dead, 720 days 320.2
DO50815 62 years, male, NA, stage:3, alive, 150 days 315.7
DO227643 79 years, male, NA, stage:2, alive, 1260 days 315.7
DO23543 63 years, male, NA, stage:2, alive, 1020 days 314.8
DO45127 73 years, male, NA, stage:3, dead, 420 days 311.5
DO45269 59 years, male, NA, stage:3, alive, 750 days 311.3
DO50799 66 years, female, NA, stage:2, alive, 540 days 310.4
DO45243 74 years, female, NA, stage:3, alive, 930 days 309.9
DO50793 76 years, male, NA, stage:4, alive, 540 days 306.1
DO48742 76 years, male, NA, stage:2, alive, 600 days 304.0
DO48715 58 years, female, NA, stage:2, dead, 690 days 301.8
DO45201 49 years, male, NA, stage:1, alive, 900 days 299.5
DO45173 63 years, male, NA, stage:3, alive, 1170 days 299.5
DO23512 60 years, male, NA, stage:1, alive, 1260 days 299.5
DO50785 37 years, male, NA, stage:4, dead, 90 days 298.0
DO45096 69 years, male, NA, stage:2, dead, 1290 days 296.2
DO45213 58 years, male, NA, stage:1, alive, 1200 days 294.4
DO50808 68 years, male, NA, stage:2, alive, 570 days 294.2
DO23538 67 years, male, NA, stage:2, alive, 450 days 294.1
DO23531 78 years, female, NA, stage:3, alive, 900 days 292.5
DO45245 75 years, female, NA, stage:2, dead, 240 days 290.8
DO45207 68 years, male, NA, stage:1, alive, 1050 days 289.5
DO45265 73 years, male, NA, stage:3, alive, 1020 days 288.9
DO45281 83 years, male, NA, stage:4, alive, 750 days 287.8
DO45115 81 years, male, NA, stage:2, alive, 840 days 286.7
DO48725 66 years, male, NA, stage:1, alive, 780 days 286.1
DO48682 72 years, female, NA, stage:3, dead, 120 days 284.4
DO45105 61 years, male, NA, stage:1, alive, 1680 days 283.2
DO45235 68 years, female, NA, stage:1, alive, 900 days 278.1
DO48716 71 years, male, NA, stage:2, alive, 720 days 275.1
DO45187 32 years, female, NA, stage:1, alive, 1260 days 274.7
DO45253 50 years, male, NA, stage:2, alive, 870 days 274.4
DO50845 72 years, male, NA, stage:3, alive, 210 days 274.1
DO50803 62 years, female, NA, stage:1, alive, 540 days 273.5
DO45167 67 years, male, NA, stage:2, dead, 1440 days 273.1
DO23539 77 years, male, NA, stage:1, alive, 1110 days 270.8
DO23527 72 years, male, NA, stage:1, alive, 1050 days 269.0
DO45107 63 years, female, NA, stage:2, alive, 1710 days 268.9
DO45193 68 years, female, NA, stage:4, dead, 120 days 267.0
DO48681 57 years, male, NA, stage:2, alive, 900 days 265.9
DO48751 68 years, male, NA, stage:2, dead, 480 days 265.7
DO48746 76 years, male, NA, stage:3, alive, 570 days 264.3
DO23509 60 years, male, NA, stage:3, dead, 780 days 263.1
DO45195 62 years, male, NA, stage:1, alive, 390 days 260.1
DO50774 68 years, female, NA, stage:2, alive, 720 days 260.0
DO50798 77 years, male, NA, stage:3, dead, 30 days 258.3
DO23533 61 years, male, NA, stage:2, alive, 900 days 257.9
DO45237 58 years, male, NA, stage:2, alive, 900 days 255.9
DO45137 38 years, male, NA, stage:1, alive, 1320 days 255.0
DO45149 70 years, female, NA, stage:2, alive, 1260 days 254.4
DO48693 71 years, male, NA, stage:2, alive, 900 days 252.6
DO45091 56 years, male, NA, stage:2, dead, 1320 days 252.6
DO23550 69 years, male, NA, stage:1, alive, 990 days 245.3
DO23540 73 years, male, NA, stage:1, alive, 750 days 243.0
DO45225 69 years, male, NA, stage:1, alive, 1050 days 240.6
DO45133 64 years, male, NA, stage:3, dead, 660 days 239.9
DO48743 69 years, female, NA, stage:2, alive, 570 days 236.9
DO23546 63 years, male, NA, stage:2, alive, 1050 days 235.9
DO48704 68 years, female, NA, stage:3, alive, 750 days 235.2
DO45227 57 years, female, NA, stage:2, alive, 1020 days 231.4
DO45241 49 years, male, NA, stage:1, alive, 1080 days 228.3
DO45101 63 years, male, NA, stage:2, alive, 1680 days 226.2
DO23552 80 years, female, NA, stage:1, alive, 810 days 218.5
DO50850 74 years, male, NA, stage:3, alive, 720 days 214.5
DO45117 73 years, female, NA, stage:2, dead, 1110 days 213.2
DO45163 76 years, male, NA, stage:2, alive, 960 days 211.7
DO50820 77 years, female, NA, stage:3, alive, 510 days 205.2
DO45123 78 years, female, NA, stage:2, dead, 570 days 204.8
DO23534 60 years, male, NA, stage:2, alive, 840 days 204.7
DO45125 58 years, male, NA, stage:3, alive, 1680 days 202.5
DO23518 67 years, male, NA, stage:2, alive, 1320 days 202.5
DO23532 71 years, female, NA, stage:1, alive, 960 days 202.4
DO45113 58 years, male, NA, stage:3, alive, 1560 days 199.7
DO45175 74 years, male, NA, stage:2, alive, 1140 days 198.0
DO48727 81 years, female, NA, stage:2, dead, 390 days 197.4
DO50832 73 years, male, NA, stage:3, alive, 90 days 197.2
DO45197 51 years, male, NA, stage:2, alive, 1170 days 194.5
DO50807 67 years, male, NA, stage:1, alive, 540 days 190.6
DO45111 74 years, male, NA, stage:2, alive, 1590 days 189.6
DO45239 42 years, male, NA, stage:2, alive, 870 days 189.5
DO48706 72 years, male, NA, stage:2, alive, 870 days 184.7
DO50789 73 years, female, NA, stage:2, alive, 570 days 182.3
DO23517 62 years, male, NA, stage:2, alive, 1200 days 181.8
DO45169 74 years, male, NA, stage:3, alive, 1350 days 163.9
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LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples 330
Samples
Sample ID Sample type nRPX
573 Tumor 0.8
375 Tumor 0.8
1027 Tumor 0.6
467 Tumor 0.6
978 Normal 0.6
463 Tumor 0.6
912 Normal 0.5
492 Normal 0.5
1043 Tumor 0.5
857 Tumor 0.5
125 Tumor 0.5
926 Normal 0.5
363 Tumor 0.5
428 Normal 0.5
343 Tumor 0.4
661 Tumor 0.4
536 Normal 0.4
862 Normal 0.4
723 Tumor 0.4
954 Normal 0.4
498 Normal 0.4
851 Tumor 0.4
422 Normal 0.4
1042 Normal 0.4
426 Normal 0.4
482 Normal 0.4
227 Tumor 0.4
432 Normal 0.4
162 Normal 0.4
868 Normal 0.4
724 Normal 0.4
1016 Normal 0.4
314 Normal 0.4
436 Normal 0.4
721 Tumor 0.4
111 Normal 0.4
424 Normal 0.4
462 Normal 0.4
858 Normal 0.4
172 Normal 0.4
124 Normal 0.4
425 Tumor 0.4
528 Normal 0.4
943 Tumor 0.4
956 Normal 0.4
283 Tumor 0.3
456 Normal 0.3
135 Tumor 0.3
738 Normal 0.3
262 Normal 0.3
332 Normal 0.3
488 Normal 0.3
1044 Normal 0.3
1014 Normal 0.3
356 Normal 0.3
824 Normal 0.3
742 Normal 0.3
278 Normal 0.3
484 Normal 0.3
716 Normal 0.3
286 Normal 0.3
186 Normal 0.3
494 Normal 0.3
414 Normal 0.3
984 Normal 0.3
212 Normal 0.3
284 Normal 0.3
364 Normal 0.3
146 Normal 0.3
955 Tumor 0.3
228 Normal 0.3
138 Normal 0.3
114 Normal 0.3
944 Normal 0.3
434 Normal 0.3
188 Normal 0.3
686 Normal 0.3
722 Normal 0.3
223 Tumor 0.3
392 Normal 0.3
914 Normal 0.3
211 Tumor 0.3
148 Normal 0.3
938 Normal 0.3
411 Tumor 0.3
224 Normal 0.3
126 Normal 0.3
493 Tumor 0.3
354 Normal 0.3
816 Normal 0.3
698 Normal 0.3
714 Normal 0.3
385 Tumor 0.3
685 Tumor 0.3
1026 Normal 0.2
416 Normal 0.2
884 Normal 0.2
217 Tumor 0.2
866 Normal 0.2
222 Normal 0.2
982 Normal 0.2
852 Normal 0.2
574 Normal 0.2
298 Normal 0.2
514 Normal 0.2
342 Normal 0.2
557 Tumor 0.2
728 Normal 0.2
516 Normal 0.2
618 Normal 0.2
285 Tumor 0.2
564 Normal 0.2
464 Normal 0.2
818 Normal 0.2
727 Tumor 0.2
713 Tumor 0.2
351 Tumor 0.2
924 Normal 0.2
968 Normal 0.2
922 Normal 0.2
447 Tumor 0.2
1028 Normal 0.2
526 Normal 0.2
412 Normal 0.2
136 Normal 0.2
672 Normal 0.2
448 Normal 0.2
352 Normal 0.2
568 Normal 0.2
214 Normal 0.2
937 Tumor 0.2
786 Normal 0.2
312 Normal 0.2
648 Normal 0.2
662 Normal 0.2
394 Normal 0.2
1046 Normal 0.2
746 Normal 0.2
1022 Normal 0.2
524 Normal 0.2
388 Normal 0.2
386 Normal 0.2
272 Normal 0.2
966 Normal 0.2
362 Normal 0.2
744 Normal 0.2
572 Normal 0.2
446 Normal 0.2
628 Normal 0.2
756 Normal 0.2
413 Tumor 0.2
642 Normal 0.2
474 Normal 0.2
196 Normal 0.2
571 Tumor 0.1
918 Normal 0.1
981 Tumor 0.1
328 Normal 0.1
131 Tumor 0.1
737 Tumor 0.1
952 Normal 0.1
261 Tumor 0.1
616 Normal 0.1
518 Normal 0.1
664 Normal 0.1
1032 Normal 0.1
964 Normal 0.1
452 Normal 0.1
358 Normal 0.1
466 Normal 0.1
558 Normal 0.1
864 Normal 0.1
916 Normal 0.1
882 Normal 0.1
444 Normal 0.1
258 Normal 0.1
451 Tumor 0.1
1015 Tumor 0.1
534 Normal 0.1
481 Tumor 0.1
132 Normal 0.1
344 Normal 0.1
218 Normal 0.1
472 Normal 0.1
384 Normal 0.1
877 Tumor 0.1
468 Normal 0.1
421 Tumor 0.1
128 Normal 0.1
636 Normal 0.1
917 Tumor 0.1
958 Normal 0.1
545 Tumor 0.1
478 Normal 0.0
487 Tumor 0.0
778 Normal 0.0
696 Normal 0.0
878 Normal 0.0
461 Tumor 0.0
863 Tumor 0.0
815 Tumor 0.0
142 Normal 0.0
874 Normal 0.0
366 Normal 0.0
814 Normal 0.0
976 Normal 0.0
145 Tumor 0.0
415 Tumor 0.0
755 Tumor 0.0
268 Normal 0.0
192 Normal 0.0
396 Normal 0.0
455 Tumor 0.0
983 Tumor 0.0
535 Tumor 0.0
187 Tumor 0.0
393 Tumor 0.0
538 Normal 0.0
277 Tumor 0.0
546 Normal 0.0
921 Tumor 0.0
881 Tumor 0.0
113 Tumor 0.0
213 Tumor 0.0
873 Tumor -0.1
232 Normal -0.1
743 Tumor -0.1
537 Tumor -0.1
823 Tumor -0.1
327 Tumor -0.1
697 Tumor -0.1
391 Tumor -0.1
554 Normal -0.1
137 Tumor -0.1
975 Tumor -0.1
953 Tumor -0.1
666 Normal -0.1
1031 Tumor -0.1
185 Tumor -0.1
861 Tumor -0.1
376 Normal -0.1
387 Tumor -0.1
647 Tumor -0.1
915 Tumor -0.1
141 Tumor -0.1
865 Tumor -0.1
695 Tumor -0.2
191 Tumor -0.2
745 Tumor -0.2
883 Tumor -0.2
313 Tumor -0.2
383 Tumor -0.2
365 Tumor -0.2
445 Tumor -0.2
627 Tumor -0.2
367 Tumor -0.2
491 Tumor -0.2
563 Tumor -0.2
963 Tumor -0.2
368 Normal -0.2
715 Tumor -0.2
663 Tumor -0.2
355 Tumor -0.2
923 Tumor -0.2
483 Tumor -0.2
311 Tumor -0.2
221 Tumor -0.2
665 Tumor -0.2
813 Tumor -0.2
913 Tumor -0.2
195 Tumor -0.2
785 Tumor -0.3
231 Tumor -0.3
497 Tumor -0.3
513 Tumor -0.3
525 Tumor -0.3
1021 Tumor -0.3
423 Tumor -0.3
777 Tumor -0.3
1013 Tumor -0.3
161 Tumor -0.3
171 Tumor -0.3
957 Tumor -0.3
353 Tumor -0.3
567 Tumor -0.4
1025 Tumor -0.4
515 Tumor -0.4
361 Tumor -0.4
615 Tumor -0.4
431 Tumor -0.4
433 Tumor -0.4
977 Tumor -0.4
523 Tumor -0.4
517 Tumor -0.4
395 Tumor -0.4
1045 Tumor -0.4
271 Tumor -0.4
147 Tumor -0.4
671 Tumor -0.4
297 Tumor -0.4
443 Tumor -0.5
427 Tumor -0.5
925 Tumor -0.5
867 Tumor -0.5
817 Tumor -0.5
641 Tumor -0.5
967 Tumor -0.5
477 Tumor -0.5
741 Tumor -0.5
471 Tumor -0.5
357 Tumor -0.5
553 Tumor -0.5
267 Tumor -0.5
951 Tumor -0.6
112 Tumor -0.6
965 Tumor -0.6
127 Tumor -0.6
465 Tumor -0.7
331 Tumor -0.7
341 Tumor -0.7
635 Tumor -0.7
617 Tumor -0.7
435 Tumor -0.8
527 Tumor -0.8
257 Tumor -0.9
533 Tumor -1.0
473 Tumor -1.0
911 Tumor -1.0
123 Tumor -1.1
1041 Tumor -1.2
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LIVER 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.

Pending cancer tissue analysis

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The Human Protein Atlas project is funded
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