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  • SUMMARY

  • TISSUE

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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 PROTEIN EXPRESSION
ANTIBODIES
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VALIDATION
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.

PSAP is potential prognostic, high expression is unfavorable 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.

: 709.4
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 651.2
Number of samples 362
Samples
Sample Description pTPM
TCGA-CC-A7IJ-01A 56 years, male, asian, stage:Stage II, alive, 382 days 3276.8
TCGA-ZP-A9D2-01A 51 years, male, white, stage:'--, dead, 765 days 2589.7
TCGA-GJ-A3OU-01A 59 years, male, white, stage:Stage I, alive, 879 days 2409.0
TCGA-G3-AAV7-01A 38 years, male, asian, stage:Stage II, alive, 361 days 2164.0
TCGA-CC-A3M9-01A 45 years, male, asian, stage:Stage IIIA, dead, 300 days 2111.4
TCGA-CC-A3MA-01A 61 years, male, asian, stage:Stage IIIA, dead, 303 days 1841.9
TCGA-ED-A66X-01A 35 years, male, asian, stage:Stage IIIA, alive, 406 days 1672.1
TCGA-YA-A8S7-01A 68 years, male, white, stage:Stage IIIA, dead, 412 days 1594.0
TCGA-DD-A3A6-01A 72 years, female, white, stage:Stage II, dead, 3258 days 1441.3
TCGA-MI-A75I-01A 61 years, male, black or african american, stage:'--, alive, 630 days 1362.9
TCGA-ED-A7PX-01A 48 years, female, asian, stage:Stage II, alive, 6 days 1312.3
TCGA-FV-A3I1-01A 81 years, female, white, stage:Stage II, dead, 247 days 1312.0
TCGA-DD-AAEK-01A 51 years, male, asian, stage:Stage II, alive, 1067 days 1294.9
TCGA-DD-A4NR-01A 85 years, female, white, stage:Stage I, dead, 9 days 1293.2
TCGA-DD-A1EI-01A 46 years, male, asian, stage:Stage I, alive, 183 days 1276.9
TCGA-DD-AACZ-01A 63 years, female, asian, stage:Stage I, dead, 171 days 1264.6
TCGA-DD-A114-01A 42 years, male, black or african american, stage:Stage II, dead, 1149 days 1254.6
TCGA-BC-A8YO-01A 66 years, female, white, stage:Stage IIIC, alive, 562 days 1228.7
TCGA-FV-A3I0-01A 76 years, female, white, stage:Stage II, alive, 848 days 1194.5
TCGA-DD-A4NH-01A 65 years, female, white, stage:Stage IIIB, alive, 917 days 1187.0
TCGA-GJ-A6C0-01A 75 years, female, white, stage:Stage II, dead, 31 days 1173.8
TCGA-ED-A5KG-01A 60 years, female, asian, stage:Stage II, alive, 854 days 1129.3
TCGA-DD-A3A9-01A 64 years, female, white, stage:Stage IVB, dead, 931 days 1111.5
TCGA-DD-AADB-01A 51 years, male, asian, stage:Stage I, alive, 1242 days 1102.6
TCGA-DD-A4NQ-01A 60 years, male, white, stage:Stage II, dead, 373 days 1094.6
TCGA-DD-A4NA-01A 67 years, female, white, stage:Stage IIIC, alive, 1008 days 1086.4
TCGA-CC-A1HT-01A 50 years, male, asian, stage:Stage IIIA, dead, 101 days 1057.2
TCGA-BC-A10U-01A 69 years, male, white, stage:'--, dead, 837 days 1048.1
TCGA-DD-A73C-01A 65 years, female, white, stage:Stage IIIA, alive, 701 days 1036.6
TCGA-K7-AAU7-01A 61 years, male, white, stage:Stage II, alive, 359 days 1007.2
TCGA-CC-A9FW-01A 68 years, male, asian, stage:Stage IIIA, alive, 248 days 1003.8
TCGA-DD-A1EF-01A 57 years, female, white, stage:Stage I, dead, 394 days 999.1
TCGA-2Y-A9GX-01A 68 years, male, white, stage:Stage I, alive, 2442 days 988.8
TCGA-5R-AA1C-01A 57 years, male, white, stage:Stage II, alive, 520 days 985.7
TCGA-CC-5263-01A 35 years, male, asian, stage:Stage IIIA, dead, 129 days 983.0
TCGA-DD-A3A1-01A 65 years, male, stage:Stage IIIA, dead, 233 days 978.9
TCGA-DD-AA3A-01A 81 years, female, white, stage:Stage I, dead, 410 days 966.5
TCGA-DD-AADW-01A 48 years, male, asian, stage:Stage I, alive, 587 days 957.6
TCGA-FV-A4ZQ-01A 52 years, male, white, stage:Stage I, alive, 12 days 953.4
TCGA-2Y-A9HA-01A 70 years, male, white, stage:Stage II, dead, 36 days 950.4
TCGA-G3-A7M6-01A 60 years, female, white, stage:Stage I, alive, 632 days 946.8
TCGA-CC-5261-01A 44 years, male, asian, stage:Stage II, dead, 97 days 941.0
TCGA-FV-A3R3-01A 38 years, female, white, stage:Stage I, dead, 366 days 928.3
TCGA-DD-AACL-01A 66 years, female, asian, stage:Stage I, dead, 107 days 917.3
TCGA-CC-5262-01A 67 years, male, asian, stage:Stage IIIC, dead, 103 days 915.4
TCGA-2Y-A9GY-01A 64 years, female, white, stage:Stage II, dead, 757 days 914.9
TCGA-XR-A8TC-01A 43 years, female, white, stage:Stage I, alive, 1339 days 910.8
TCGA-G3-AAV3-01A 58 years, female, white, stage:Stage II, alive, 412 days 909.3
TCGA-CC-A7IK-01A 59 years, male, asian, stage:Stage IIIA, dead, 262 days 904.9
TCGA-ED-A82E-01A 60 years, female, asian, stage:Stage IIIA, alive, 408 days 892.6
TCGA-FV-A3R2-01A 75 years, male, white, stage:Stage I, dead, 194 days 890.4
TCGA-CC-5260-01A 61 years, female, asian, stage:Stage IIIC, dead, 87 days 887.9
TCGA-WX-AA44-01A 64 years, female, white, stage:Stage I, alive, 615 days 884.6
TCGA-UB-A7MC-01A 59 years, male, white, stage:Stage IIIA, alive, 500 days 877.0
TCGA-ZP-A9D0-01A 67 years, female, black or african american, stage:'--, alive, 1091 days 877.0
TCGA-DD-A1EG-01A 76 years, male, white, stage:Stage I, dead, 1372 days 867.3
TCGA-DD-A1EB-01A 72 years, female, stage:Stage I, alive, 2017 days 847.8
TCGA-T1-A6J8-01A 68 years, male, white, stage:'--, alive, 23 days 845.1
TCGA-DD-A1EH-01A 23 years, male, white, stage:Stage III, alive, 1495 days 838.0
TCGA-DD-AACH-01A 69 years, male, asian, stage:Stage II, dead, 195 days 834.0
TCGA-DD-A113-01A 55 years, female, white, stage:Stage II, alive, 2425 days 828.3
TCGA-DD-A4NJ-01A 54 years, female, white, stage:Stage II, alive, 928 days 823.6
TCGA-DD-AAVV-01A 56 years, male, asian, stage:Stage II, alive, 2455 days 823.5
TCGA-EP-A2KB-01A 46 years, female, white, stage:Stage I, dead, 596 days 819.7
TCGA-DD-A4NB-01A 25 years, male, white, stage:Stage I, alive, 989 days 818.8
TCGA-2Y-A9GV-01A 54 years, female, white, stage:Stage I, dead, 2532 days 818.5
TCGA-ZP-A9CV-01A 59 years, male, white, stage:'--, dead, 1088 days 817.1
TCGA-DD-A73E-01A 66 years, male, white, stage:Stage I, alive, 44 days 812.0
TCGA-G3-A25X-01A 73 years, male, asian, stage:Stage II, alive, 1779 days 809.3
TCGA-5R-AAAM-01A 65 years, female, white, stage:Stage II, dead, 46 days 809.1
TCGA-UB-AA0U-01A 60 years, male, white, stage:Stage II, alive, 327 days 809.1
TCGA-DD-AAVW-01A 35 years, male, asian, stage:Stage I, alive, 2317 days 803.7
TCGA-UB-A7MF-01A 56 years, male, white, stage:Stage IIIA, dead, 214 days 798.5
TCGA-DD-A1EJ-01A 71 years, female, white, stage:Stage IIIC, dead, 1005 days 796.6
TCGA-DD-A11B-01A 73 years, male, white, stage:Stage I, dead, 14 days 795.8
TCGA-CC-A3MC-01A 54 years, male, asian, stage:Stage IIIA, alive, 363 days 795.1
TCGA-EP-A12J-01A 62 years, male, black or african american, stage:Stage I, alive, 570 days 792.5
TCGA-DD-AAD5-01A 54 years, male, asian, stage:Stage I, alive, 1345 days 790.8
TCGA-FV-A4ZP-01A 78 years, male, white, stage:Stage IIIA, dead, 2486 days 790.7
TCGA-UB-A7MA-01A 62 years, female, white, stage:Stage II, alive, 848 days 789.7
TCGA-UB-A7MD-01A 67 years, male, black or african american, stage:Stage I, dead, 52 days 787.1
TCGA-2Y-A9H8-01A 85 years, female, white, stage:'--, dead, 633 days 784.6
TCGA-4R-AA8I-01A 66 years, male, white, stage:Stage II, dead, 262 days 782.8
TCGA-XR-A8TD-01A 49 years, female, white, stage:Stage IIIB, alive, 1030 days 780.1
TCGA-ED-A97K-01A 54 years, male, asian, stage:Stage IIIA, alive, 6 days 777.3
TCGA-CC-A7IH-01A 58 years, male, asian, stage:Stage IIIA, alive, 365 days 774.0
TCGA-DD-AACS-01A 39 years, male, asian, stage:Stage I, alive, 1804 days 773.7
TCGA-NI-A8LF-01A 74 years, male, white, stage:Stage I, alive, 799 days 771.0
TCGA-DD-A1EC-01A 20 years, female, white, stage:Stage I, alive, 602 days 769.0
TCGA-DD-AACN-01A 32 years, male, asian, stage:Stage I, alive, 1302 days 761.8
TCGA-CC-A8HS-01A 18 years, male, asian, stage:Stage IIIC, dead, 300 days 757.7
TCGA-GJ-A9DB-01A 68 years, male, white, stage:Stage I, dead, 67 days 756.4
TCGA-DD-AACX-01A 66 years, male, asian, stage:Stage II, alive, 170 days 752.9
TCGA-G3-A5SM-01A 58 years, male, white, stage:Stage II, alive, 520 days 747.9
TCGA-CC-5258-01A 48 years, male, asian, stage:Stage II, dead, 129 days 746.4
TCGA-DD-AACC-01A 61 years, male, asian, stage:Stage I, dead, 1685 days 745.2
TCGA-2Y-A9H2-01A 64 years, female, white, stage:Stage I, alive, 1731 days 742.5
TCGA-G3-A25Y-01A 52 years, female, asian, stage:Stage I, dead, 452 days 737.9
TCGA-DD-AADV-01A 50 years, male, asian, stage:Stage I, alive, 574 days 737.4
TCGA-CC-A5UD-01A 45 years, male, asian, stage:Stage IIIA, dead, 304 days 733.7
TCGA-O8-A75V-01A 54 years, male, stage:Stage I, alive, 538 days 732.4
TCGA-ED-A4XI-01A 58 years, male, asian, stage:Stage II, alive, 819 days 728.7
TCGA-DD-AAW0-01A 54 years, male, asian, stage:Stage I, alive, 2015 days 725.6
TCGA-FV-A2QR-01A 75 years, male, white, stage:Stage I, dead, 581 days 722.4
TCGA-BC-A69H-01A 64 years, male, white, stage:Stage II, alive, 444 days 721.6
TCGA-DD-AAC8-01A 72 years, male, asian, stage:Stage I, dead, 16 days 715.5
TCGA-ED-A627-01A 74 years, male, white, stage:Stage I, alive, 423 days 713.0
TCGA-CC-5264-01A 71 years, male, asian, stage:Stage IIIA, dead, 102 days 711.6
TCGA-DD-A39W-01A 29 years, female, white, stage:Stage III, dead, 827 days 710.8
TCGA-CC-A8HU-01A 39 years, female, asian, stage:Stage IIIA, dead, 344 days 709.4
TCGA-DD-A1EA-01A 68 years, male, asian, stage:Stage II, alive, 2415 days 709.3
TCGA-G3-A5SL-01A 70 years, male, white, stage:Stage II, alive, 621 days 707.2
TCGA-DD-AAD1-01A 51 years, female, asian, stage:Stage I, alive, 564 days 707.1
TCGA-DD-AAE0-01A 45 years, female, asian, stage:Stage IIIA, alive, 555 days 704.0
TCGA-2Y-A9H6-01A 68 years, female, white, stage:Stage I, alive, 357 days 701.8
TCGA-DD-AACW-01A 43 years, male, asian, stage:Stage I, alive, 1424 days 701.6
TCGA-G3-AAV5-01A 67 years, male, white, stage:Stage II, alive, 354 days 701.2
TCGA-G3-A6UC-01A 65 years, male, white, stage:Stage IIIB, alive, 671 days 693.7
TCGA-BC-A10W-01A 50 years, male, asian, stage:'--, dead, 91 days 693.1
TCGA-EP-A3RK-01A 73 years, male, white, stage:Stage IIIA, alive, 363 days 691.5
TCGA-DD-AAW1-01A 55 years, male, asian, stage:Stage IIIA, alive, 1989 days 691.3
TCGA-DD-AAEI-01A 72 years, male, asian, stage:Stage I, alive, 1531 days 691.1
TCGA-RC-A6M6-01A 75 years, male, white, stage:Stage II, alive, 9 days 688.5
TCGA-DD-AAD3-01A 43 years, male, asian, stage:Stage I, alive, 1295 days 685.4
TCGA-2Y-A9GS-01A 58 years, male, white, stage:'--, dead, 724 days 684.6
TCGA-DD-A11D-01A 57 years, female, white, stage:Stage I, dead, 1560 days 684.4
TCGA-CC-A5UC-01A 63 years, male, asian, stage:Stage IIIA, dead, 347 days 683.7
TCGA-2Y-A9H3-01A 45 years, male, white, stage:Stage II, alive, 1516 days 682.7
TCGA-DD-A39X-01A 78 years, female, white, stage:Stage I, dead, 1694 days 681.4
TCGA-DD-A3A4-01A 37 years, male, white, stage:Stage IIIA, dead, 612 days 681.3
TCGA-DD-AACU-01A 59 years, male, asian, stage:Stage I, alive, 1567 days 678.1
TCGA-DD-A73B-01A 72 years, female, white, stage:Stage I, dead, 283 days 677.9
TCGA-DD-AACB-01A 74 years, female, asian, stage:Stage I, alive, 2324 days 677.3
TCGA-G3-AAV4-01A 83 years, female, white, stage:Stage I, dead, 27 days 675.0
TCGA-LG-A9QC-01A 48 years, male, white, stage:Stage I, alive, 425 days 673.8
TCGA-DD-A4ND-01A 56 years, female, white, stage:Stage I, alive, 2746 days 672.6
TCGA-G3-A7M8-01A 31 years, male, asian, stage:Stage I, alive, 430 days 671.6
TCGA-DD-AAVY-01A 56 years, male, asian, stage:Stage IIIA, alive, 1970 days 664.2
TCGA-RC-A7SH-01A 42 years, male, asian, stage:Stage II, alive, 468 days 659.1
TCGA-KR-A7K0-01A 65 years, male, white, stage:Stage I, dead, 65 days 659.0
TCGA-DD-A1EL-01A 23 years, male, black or african american, stage:Stage II, dead, 415 days 655.5
TCGA-UB-A7ME-01A 51 years, male, asian, stage:Stage I, alive, 486 days 651.9
TCGA-G3-A3CI-01A 71 years, male, white, stage:Stage I, alive, 180 days 651.8
TCGA-DD-A73G-01A 73 years, female, white, stage:Stage I, alive, 3478 days 648.5
TCGA-BC-A3KF-01A 66 years, female, white, stage:Stage I, alive, 8 days 644.2
TCGA-DD-AAD2-01A 66 years, male, asian, stage:Stage I, alive, 658 days 643.0
TCGA-KR-A7K8-01A 57 years, male, stage:Stage I, alive, 906 days 642.5
TCGA-G3-AAV6-01A 53 years, female, white, stage:Stage IIIA, dead, 65 days 640.2
TCGA-PD-A5DF-01A 58 years, female, white, stage:Stage IIIB, dead, 639 days 637.0
TCGA-DD-A1EK-01A 64 years, female, white, stage:Stage IVB, dead, 558 days 636.2
TCGA-G3-A25V-01A 68 years, male, white, stage:Stage I, alive, 860 days 634.5
TCGA-DD-AADJ-01A 70 years, female, asian, stage:Stage I, alive, 1066 days 634.4
TCGA-2Y-A9GT-01A 51 years, male, white, stage:Stage I, dead, 1624 days 634.1
TCGA-2Y-A9HB-01A 66 years, male, stage:Stage I, alive, 260 days 632.7
TCGA-DD-A39Y-01A 67 years, male, asian, stage:Stage I, dead, 171 days 630.6
TCGA-DD-A4NS-01A 61 years, female, white, stage:Stage I, dead, 2456 days 630.6
TCGA-2Y-A9GW-01A 64 years, male, white, stage:Stage I, dead, 1271 days 630.0
TCGA-DD-AACI-01A 69 years, male, asian, stage:Stage II, alive, 1618 days 628.7
TCGA-FV-A23B-01A 70 years, female, white, stage:Stage II, dead, 1852 days 626.1
TCGA-DD-AAVS-01A 56 years, male, asian, stage:Stage I, alive, 1823 days 624.7
TCGA-2Y-A9GU-01A 55 years, female, white, stage:Stage I, alive, 1939 days 624.5
TCGA-G3-A25T-01A 45 years, female, white, stage:Stage IIIA, alive, 1553 days 623.5
TCGA-DD-A4NN-01A 56 years, female, white, stage:Stage I, dead, 899 days 623.1
TCGA-DD-AAVU-01A 46 years, male, asian, stage:Stage II, alive, 2202 days 622.0
TCGA-ED-A7PZ-01A 61 years, male, asian, stage:Stage II, alive, 6 days 620.0
TCGA-DD-AAVQ-01A 38 years, male, asian, stage:Stage I, alive, 2728 days 618.5
TCGA-K7-A5RG-01A 66 years, male, black or african american, stage:Stage I, alive, 519 days 614.3
TCGA-CC-A8HV-01A 51 years, female, asian, stage:Stage II, dead, 279 days 614.0
TCGA-DD-A73F-01A 77 years, female, white, stage:Stage I, alive, 1085 days 613.5
TCGA-CC-A7IG-01A 47 years, male, asian, stage:Stage II, dead, 299 days 613.2
TCGA-DD-AAE3-01A 50 years, male, asian, stage:Stage I, alive, 566 days 612.4
TCGA-DD-AADC-01A 53 years, male, asian, stage:Stage I, dead, 425 days 612.3
TCGA-ED-A7XP-01A 53 years, female, asian, stage:Stage II, alive, 400 days 607.3
TCGA-BC-A10Z-01A 62 years, female, white, stage:Stage I, dead, 34 days 605.9
TCGA-G3-AAV2-01A 50 years, male, white, stage:Stage I, alive, 372 days 605.8
TCGA-CC-A5UE-01A 48 years, male, asian, stage:Stage IIIB, dead, 272 days 604.9
TCGA-3K-AAZ8-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 396 days 604.8
TCGA-FV-A496-01A 84 years, female, white, stage:Stage I, alive, 10 days 602.8
TCGA-DD-AAE9-01A 69 years, male, asian, stage:Stage I, alive, 722 days 600.0
TCGA-DD-A4NF-01A 72 years, male, white, stage:Stage I, alive, 942 days 599.0
TCGA-G3-AAV1-01A 51 years, male, asian, stage:Stage IIIC, dead, 359 days 597.2
TCGA-5C-AAPD-01A 61 years, male, asian, stage:Stage II, alive, 20 days 593.9
TCGA-UB-A7MB-01A 24 years, male, white, stage:Stage II, alive, 601 days 592.4
TCGA-DD-A116-01A 68 years, male, asian, stage:Stage IIIA, dead, 1622 days 591.5
TCGA-DD-AADD-01A 51 years, male, asian, stage:Stage I, alive, 1231 days 590.3
TCGA-ZP-A9CY-01A 66 years, female, white, stage:'--, alive, 782 days 589.0
TCGA-K7-A5RF-01A 64 years, male, white, stage:Stage I, alive, 631 days 585.8
TCGA-HP-A5MZ-01A 78 years, male, stage:Stage I, dead, 91 days 585.6
TCGA-2Y-A9H5-01A 59 years, female, white, stage:Stage I, dead, 555 days 584.7
TCGA-DD-AADO-01A 55 years, male, asian, stage:Stage I, alive, 453 days 583.5
TCGA-ED-A8O5-01A 59 years, female, asian, stage:Stage IIIA, alive, 406 days 582.9
TCGA-DD-A1EE-01A 73 years, male, white, stage:Stage IIIA, dead, 349 days 582.8
TCGA-MR-A520-01A 58 years, male, white, stage:Stage I, alive, 229 days 582.1
TCGA-LG-A6GG-01A 79 years, female, white, stage:Stage II, alive, 387 days 576.5
TCGA-DD-A118-01A 77 years, female, white, stage:Stage II, alive, 3437 days 576.2
TCGA-ZS-A9CD-01A 73 years, male, white, stage:Stage II, dead, 1386 days 575.9
TCGA-DD-AACA-01A 65 years, male, asian, stage:Stage I, alive, 2301 days 575.1
TCGA-DD-A4NV-01A 61 years, male, white, stage:Stage IIIA, alive, 2398 days 573.1
TCGA-MI-A75G-01A 63 years, male, white, stage:Stage II, alive, 698 days 573.0
TCGA-BC-A10S-01A 81 years, male, white, stage:'--, dead, 1423 days 568.5
TCGA-ES-A2HT-01A 54 years, male, black or african american, stage:Stage I, dead, 438 days 565.5
TCGA-CC-A3MB-01A 36 years, male, asian, stage:Stage IIIA, dead, 315 days 559.3
TCGA-DD-AACP-01A 64 years, male, asian, stage:Stage I, alive, 415 days 558.7
TCGA-5C-A9VG-01A 58 years, male, white, stage:Stage II, alive, 328 days 558.3
TCGA-G3-A7M9-01A 70 years, male, white, stage:Stage IIIB, dead, 56 days 557.9
TCGA-ZS-A9CG-01A 55 years, male, white, stage:Stage II, alive, 341 days 556.5
TCGA-DD-AADL-01A 58 years, male, asian, stage:Stage I, alive, 636 days 556.4
TCGA-DD-AAVR-01A 44 years, male, asian, stage:Stage I, alive, 2513 days 554.3
TCGA-RC-A6M4-01A 74 years, female, white, stage:Stage IIIA, alive, 22 days 553.0
TCGA-DD-AACY-01A 61 years, male, asian, stage:Stage I, alive, 1450 days 550.2
TCGA-DD-A115-01A 53 years, male, white, stage:Stage IIIA, dead, 2542 days 549.7
TCGA-DD-A4NK-01A 80 years, female, white, stage:Stage IIIA, dead, 1210 days 548.0
TCGA-DD-AAEE-01A 55 years, male, asian, stage:Stage I, alive, 810 days 547.8
TCGA-DD-AACF-01A 68 years, male, asian, stage:Stage I, dead, 365 days 547.4
TCGA-DD-AAC9-01A 51 years, male, asian, stage:Stage I, alive, 347 days 544.2
TCGA-K7-A6G5-01A 66 years, male, white, stage:Stage I, alive, 512 days 543.8
TCGA-ED-A8O6-01A 50 years, female, asian, stage:Stage IIIA, dead, 56 days 542.2
TCGA-ZP-A9CZ-01A 72 years, male, asian, stage:'--, alive, 706 days 539.3
TCGA-DD-AAW2-01A 69 years, male, asian, stage:Stage I, alive, 1855 days 537.3
TCGA-BC-A10R-01A 66 years, female, white, stage:'--, dead, 308 days 537.2
TCGA-CC-A7IL-01A 61 years, male, asian, stage:Stage IIIA, dead, 278 days 537.0
TCGA-CC-A123-01A 24 years, female, asian, stage:Stage IIIA, alive, 219 days 533.4
TCGA-EP-A2KC-01A 62 years, male, black or african american, stage:Stage I, dead, 19 days 529.6
TCGA-2Y-A9H0-01A 49 years, male, white, stage:Stage IIIA, alive, 3675 days 529.0
TCGA-DD-AADP-01A 45 years, male, asian, stage:Stage I, alive, 458 days 524.6
TCGA-DD-AACK-01A 70 years, male, asian, stage:Stage I, alive, 9 days 524.1
TCGA-DD-AADI-01A 43 years, female, asian, stage:Stage I, alive, 1085 days 523.2
TCGA-DD-A119-01A 40 years, male, asian, stage:Stage IV, dead, 223 days 521.7
TCGA-G3-A3CH-01A 53 years, male, asian, stage:Stage IIIA, alive, 780 days 521.2
TCGA-DD-AAE6-01A 59 years, female, asian, stage:Stage I, alive, 141 days 520.8
TCGA-BC-A10X-01A 52 years, female, white, stage:Stage IIIA, dead, 770 days 520.7
TCGA-BC-A112-01A 80 years, male, white, stage:'--, dead, 153 days 516.3
TCGA-5C-A9VH-01A 70 years, male, white, stage:Stage I, alive, 322 days 514.7
TCGA-G3-A7M7-01A 65 years, male, white, stage:Stage I, alive, 361 days 513.2
TCGA-DD-AACT-01A 69 years, female, asian, stage:Stage I, alive, 1562 days 510.1
TCGA-RG-A7D4-01A 69 years, male, black or african american, stage:Stage II, alive, 1098 days 505.7
TCGA-2Y-A9H1-01A 58 years, male, white, stage:Stage I, dead, 1229 days 505.1
TCGA-BC-A110-01A 51 years, female, black or african american, stage:'--, dead, 2116 days 504.6
TCGA-G3-A25S-01A 64 years, male, white, stage:Stage I, dead, 416 days 503.5
TCGA-XR-A8TE-01A 16 years, male, white, stage:Stage IIIA, alive, 925 days 502.9
TCGA-BW-A5NO-01A 50 years, male, black or african american, stage:Stage IIIA, alive, 20 days 502.5
TCGA-RC-A6M5-01A 20 years, female, white, stage:Stage IVA, alive, 15 days 499.2
TCGA-DD-A4NO-01A 65 years, male, white, stage:Stage I, alive, 2245 days 499.0
TCGA-MI-A75E-01A 61 years, male, white, stage:Stage IIIC, alive, 507 days 498.5
TCGA-DD-AAE7-01A 72 years, male, asian, stage:Stage I, alive, 644 days 497.0
TCGA-DD-AACE-01A 62 years, male, asian, stage:Stage I, alive, 2184 days 493.6
TCGA-DD-AAVZ-01A 38 years, male, asian, stage:Stage I, alive, 1900 days 492.3
TCGA-2Y-A9H9-01A 70 years, male, white, stage:Stage I, alive, 697 days 492.3
TCGA-ZP-A9D4-01A 64 years, female, white, stage:'--, alive, 395 days 491.9
TCGA-XR-A8TF-01A 74 years, male, white, stage:Stage I, dead, 693 days 490.6
TCGA-EP-A3JL-01A 76 years, male, white, stage:Stage I, alive, 303 days 487.0
TCGA-G3-A7M5-01A 76 years, male, asian, stage:Stage I, alive, 447 days 486.9
TCGA-DD-A39Z-01A 43 years, female, stage:Stage II, dead, 601 days 486.1
TCGA-BD-A3EP-01A 75 years, female, black or african american, stage:Stage I, alive, 409 days 485.6
TCGA-DD-AAVP-01A 48 years, male, asian, stage:Stage I, alive, 2752 days 485.4
TCGA-BC-A10Q-01A 72 years, female, white, stage:'--, dead, 1135 days 483.8
TCGA-DD-A11C-01A 69 years, male, white, stage:Stage I, alive, 662 days 483.0
TCGA-XR-A8TG-01A 58 years, male, white, stage:Stage I, alive, 898 days 480.6
TCGA-DD-AAD6-01A 66 years, male, asian, stage:Stage IIIA, alive, 672 days 480.1
TCGA-DD-AAE1-01A 52 years, male, asian, stage:Stage I, alive, 552 days 477.3
TCGA-FV-A495-01A 51 years, female, white, stage:Stage II, alive, 1 days 476.9
TCGA-ES-A2HS-01A 80 years, male, white, stage:Stage I, dead, 688 days 476.8
TCGA-G3-A3CK-01A 61 years, male, asian, stage:Stage I, alive, 585 days 465.9
TCGA-BC-A217-01A 75 years, female, white, stage:Stage II, dead, 1397 days 465.0
TCGA-DD-A39V-01A 77 years, male, white, stage:Stage II, dead, 643 days 463.7
TCGA-DD-A73A-01A 71 years, male, white, stage:Stage I, alive, 728 days 462.0
TCGA-DD-AAEG-01A 59 years, female, asian, stage:Stage I, alive, 719 days 461.9
TCGA-MI-A75H-01A 77 years, male, white, stage:'--, alive, 747 days 461.7
TCGA-ZS-A9CF-01A 64 years, male, white, stage:Stage II, alive, 2412 days 459.3
TCGA-2Y-A9GZ-01A 82 years, female, white, stage:Stage II, dead, 848 days 458.6
TCGA-CC-A7IE-01A 57 years, male, asian, stage:Stage IIIA, dead, 217 days 456.8
TCGA-WQ-A9G7-01A 71 years, female, white, stage:'--, alive, 30 days 456.2
TCGA-CC-A7II-01A 54 years, male, asian, stage:Stage IIIA, alive, 399 days 453.4
TCGA-DD-A4NE-01A 75 years, female, white, stage:Stage IIIA, dead, 660 days 448.7
TCGA-BC-A10Y-01A 76 years, male, white, stage:'--, dead, 711 days 444.5
TCGA-DD-A4NG-01A 77 years, male, white, stage:Stage IIIA, dead, 802 days 444.0
TCGA-DD-AAEA-01A 65 years, male, asian, stage:Stage I, alive, 575 days 439.4
TCGA-KR-A7K7-01A 61 years, female, white, stage:Stage II, alive, 951 days 439.3
TCGA-CC-A9FS-01A 55 years, male, asian, stage:Stage II, alive, 211 days 438.4
TCGA-DD-AADU-01A 60 years, male, asian, stage:Stage II, alive, 554 days 437.6
TCGA-DD-A3A2-01A 76 years, female, white, stage:Stage I, dead, 2131 days 435.3
TCGA-DD-AACG-01A 52 years, male, asian, stage:Stage II, dead, 469 days 431.3
TCGA-DD-AAEH-01A 73 years, male, asian, stage:Stage I, alive, 784 days 431.2
TCGA-G3-A25Z-01A 58 years, male, asian, stage:Stage I, alive, 655 days 430.7
TCGA-WJ-A86L-01A 68 years, female, white, stage:Stage I, alive, 345 days 428.9
TCGA-DD-A3A8-01A 75 years, male, white, stage:Stage II, dead, 11 days 427.1
TCGA-G3-A3CG-01A 80 years, male, white, stage:Stage I, alive, 673 days 426.7
TCGA-G3-AAUZ-01A 48 years, male, stage:Stage I, alive, 480 days 425.7
TCGA-DD-AACJ-01A 75 years, male, asian, stage:Stage II, alive, 2102 days 424.8
TCGA-RC-A7SB-01A 53 years, male, asian, stage:Stage II, alive, 588 days 416.9
TCGA-2Y-A9H7-01A 81 years, female, white, stage:Stage I, alive, 1168 days 415.6
TCGA-EP-A2KA-01A 52 years, female, white, stage:Stage IIIA, dead, 627 days 415.4
TCGA-ED-A7XO-01A 29 years, male, asian, stage:Stage IIIA, alive, 427 days 415.4
TCGA-FV-A2QQ-01A 80 years, male, white, stage:Stage I, alive, 729 days 415.0
TCGA-RC-A7SK-01A 59 years, male, asian, stage:Stage I, alive, 472 days 413.6
TCGA-DD-AADS-01A 63 years, male, asian, stage:Stage I, alive, 474 days 412.0
TCGA-BC-A69I-01A 69 years, male, white, stage:Stage I, alive, 387 days 411.7
TCGA-ED-A66Y-01A 51 years, female, asian, stage:Stage IIIA, dead, 296 days 411.3
TCGA-ZP-A9D1-01A 56 years, female, white, stage:'--, alive, 21 days 406.4
TCGA-DD-AAE4-01A 49 years, female, asian, stage:Stage I, alive, 608 days 405.6
TCGA-BD-A3ER-01A 62 years, male, white, stage:Stage II, alive, 1115 days 403.4
TCGA-DD-AADG-01A 70 years, male, asian, stage:Stage IIIA, alive, 1145 days 400.1
TCGA-BC-A10T-01A 76 years, male, white, stage:'--, dead, 837 days 399.6
TCGA-UB-AA0V-01A 69 years, female, white, stage:Stage I, alive, 314 days 396.1
TCGA-DD-A1ED-01A 68 years, male, white, stage:Stage I, alive, 2301 days 392.4
TCGA-5R-AA1D-01A 17 years, female, white, stage:Stage IIIA, alive, 449 days 392.3
TCGA-DD-AADM-01A 58 years, male, asian, stage:Stage II, dead, 12 days 391.6
TCGA-DD-AACO-01A 40 years, male, asian, stage:Stage I, alive, 1876 days 386.1
TCGA-G3-A5SJ-01A 59 years, male, white, stage:Stage I, alive, 698 days 379.1
TCGA-DD-AADK-01A 68 years, female, asian, stage:Stage II, alive, 1049 days 378.3
TCGA-WX-AA46-01A 61 years, male, white, stage:Stage II, alive, 756 days 376.9
TCGA-DD-AADN-01A 59 years, male, asian, stage:Stage I, alive, 898 days 376.0
TCGA-DD-A4NL-01A 46 years, male, white, stage:Stage I, alive, 1711 days 374.8
TCGA-HP-A5N0-01A 90 years, female, stage:'--, dead, 752 days 374.5
TCGA-DD-AAVX-01A 38 years, male, asian, stage:Stage II, alive, 1718 days 373.9
TCGA-DD-AADY-01A 55 years, female, asian, stage:Stage I, alive, 555 days 369.6
TCGA-EP-A26S-01A 70 years, male, white, stage:Stage I, alive, 608 days 367.6
TCGA-ED-A459-01A 47 years, male, asian, stage:Stage II, alive, 910 days 364.7
TCGA-DD-A3A5-01A 66 years, female, white, stage:Stage III, dead, 3125 days 362.3
TCGA-ZS-A9CE-01A 79 years, female, white, stage:Stage II, alive, 1241 days 360.8
TCGA-DD-AADR-01A 58 years, male, asian, stage:Stage I, alive, 2028 days 360.3
TCGA-DD-A3A3-01A 45 years, male, asian, stage:Stage I, dead, 535 days 355.7
TCGA-CC-A8HT-01A 74 years, male, asian, stage:Stage IIIA, dead, 140 days 354.9
TCGA-ED-A7PY-01A 20 years, female, asian, stage:Stage II, alive, 390 days 354.0
TCGA-KR-A7K2-01A 64 years, male, white, stage:Stage I, alive, 829 days 349.8
TCGA-DD-AAW3-01A 69 years, male, asian, stage:Stage I, alive, 1633 days 349.6
TCGA-DD-AAE2-01A 51 years, male, asian, stage:Stage I, alive, 638 days 347.5
TCGA-WQ-AB4B-01A 62 years, male, white, stage:Stage II, alive, 395 days 346.4
TCGA-DD-A3A7-01A 67 years, male, stage:Stage IIIB, dead, 419 days 341.6
TCGA-MR-A8JO-01A 34 years, male, white, stage:Stage I, alive, 330 days 339.2
TCGA-DD-A4NI-01A 67 years, male, white, stage:Stage II, alive, 816 days 333.2
TCGA-DD-AAEB-01A 60 years, male, asian, stage:Stage I, alive, 478 days 329.3
TCGA-DD-AACQ-01A 50 years, male, asian, stage:Stage II, dead, 432 days 326.0
TCGA-DD-A4NP-01A 32 years, male, white, stage:Stage I, alive, 3308 days 318.9
TCGA-DD-AACD-01A 48 years, male, asian, stage:Stage I, dead, 381 days 318.8
TCGA-NI-A4U2-01A 71 years, male, white, stage:Stage IIIA, dead, 1791 days 315.8
TCGA-2Y-A9H4-01A 68 years, male, black or african american, stage:Stage I, alive, 1452 days 312.1
TCGA-MI-A75C-01A 64 years, male, white, stage:Stage I, alive, 291 days 306.8
TCGA-G3-A3CJ-01A 52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days 306.5
TCGA-DD-AAD0-01A 73 years, female, asian, stage:Stage I, alive, 137 days 292.5
TCGA-DD-AADQ-01A 59 years, male, asian, stage:Stage II, alive, 436 days 292.1
TCGA-CC-A7IF-01A 59 years, male, asian, stage:Stage IIIA, dead, 649 days 290.2
TCGA-G3-A5SI-01A 44 years, male, asian, stage:Stage II, dead, 768 days 287.3
TCGA-LG-A9QD-01A 68 years, male, white, stage:Stage IIIA, alive, 366 days 286.2
TCGA-RC-A7SF-01A 66 years, male, asian, stage:Stage I, alive, 579 days 286.0
TCGA-CC-5259-01A 60 years, female, asian, stage:Stage IIIC, alive, 250 days 285.6
TCGA-BC-A5W4-01A 69 years, male, white, stage:Stage IIIA, dead, 547 days 276.5
TCGA-DD-AADA-01A 66 years, female, asian, stage:Stage I, alive, 1233 days 276.4
TCGA-DD-A73D-01A 68 years, female, white, stage:Stage II, alive, 693 days 272.3
TCGA-G3-AAV0-01A 58 years, male, asian, stage:Stage I, alive, 476 days 270.9
TCGA-BC-A216-01A 62 years, female, white, stage:Stage IIIA, alive, 1351 days 270.2
TCGA-G3-A5SK-01A 58 years, male, white, stage:Stage I, alive, 744 days 260.7
TCGA-DD-AAED-01A 51 years, male, asian, stage:Stage I, alive, 763 days 258.7
TCGA-BC-A3KG-01A 68 years, female, white, stage:Stage II, alive, 680 days 256.9
TCGA-DD-AACV-01A 53 years, male, asian, stage:Stage I, alive, 1531 days 251.7
TCGA-QA-A7B7-01A 48 years, male, black or african american, stage:Stage II, alive, 94 days 239.9
TCGA-RC-A7S9-01A 47 years, female, asian, stage:Stage I, alive, 640 days 222.4
TCGA-DD-AADF-01A 64 years, female, asian, stage:Stage I, dead, 115 days 212.2
TCGA-G3-A25U-01A 63 years, female, asian, stage:Stage I, alive, 1636 days 207.9
TCGA-BD-A2L6-01A 69 years, male, white, stage:'--, alive, 1363 days 207.2
TCGA-DD-AAD8-01A 73 years, female, asian, stage:Stage I, alive, 1219 days 183.7
TCGA-WX-AA47-01A 33 years, female, white, stage:Stage IIIA, dead, 556 days 105.6
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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.

PSAP 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.

: 503.65
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 895.1
Number of samples 231
Samples
Sample Description pTPM
DO50829 78 years, male, NA, stage:3, alive, 570 days 6337.0
DO23523 52 years, male, NA, stage:3, alive, 1080 days 6043.7
DO48720 62 years, female, NA, stage:2, alive, 570 days 3669.4
DO45275 65 years, male, NA, stage:3, dead, 10 days 3358.6
DO23535 67 years, male, NA, stage:1, alive, 960 days 2943.0
DO50778 60 years, male, NA, stage:4, alive, 630 days 2791.2
DO45139 63 years, male, NA, stage:3, alive, 1320 days 2173.6
DO45283 60 years, male, NA, stage:3, alive, 510 days 2146.7
DO45155 69 years, male, NA, stage:2, alive, 2160 days 2120.6
DO23547 74 years, male, NA, stage:1, alive, 1020 days 2102.4
DO45092 62 years, male, NA, stage:4, dead, 1200 days 2014.6
DO45277 64 years, male, NA, stage:3, alive, 600 days 1889.2
DO45287 74 years, male, NA, stage:1, alive, 390 days 1875.1
DO50819 72 years, female, NA, stage:2, alive, 510 days 1832.1
DO23530 53 years, male, NA, stage:4, dead, 180 days 1724.0
DO45127 73 years, male, NA, stage:3, dead, 420 days 1681.3
DO48747 62 years, male, NA, stage:3, alive, 540 days 1654.8
DO45303 62 years, female, NA, stage:3, alive, 990 days 1634.5
DO50787 63 years, male, NA, stage:3, alive, 480 days 1563.5
DO23524 71 years, female, NA, stage:2, alive, 1050 days 1538.6
DO45225 69 years, male, NA, stage:1, alive, 1050 days 1524.7
DO45141 73 years, male, NA, stage:2, alive, 1320 days 1493.2
DO48730 73 years, female, NA, stage:2, alive, 630 days 1481.0
DO45135 77 years, male, NA, stage:1, alive, 1410 days 1474.5
DO45223 67 years, male, NA, stage:4, alive, 1020 days 1469.3
DO45115 81 years, male, NA, stage:2, alive, 840 days 1444.6
DO45159 65 years, male, NA, stage:3, alive, 1470 days 1437.0
DO45171 56 years, male, NA, stage:3, alive, 600 days 1434.6
DO45259 65 years, male, NA, stage:3, alive, 330 days 1431.7
DO45157 62 years, male, NA, stage:2, alive, 1980 days 1396.8
DO48732 73 years, male, NA, stage:3, alive, 630 days 1366.6
DO45119 74 years, male, NA, stage:3, dead, 510 days 1335.3
DO23508 79 years, female, NA, stage:2, alive, 390 days 1326.6
DO45197 51 years, male, NA, stage:2, alive, 1170 days 1316.4
DO45165 75 years, male, NA, stage:2, alive, 690 days 1280.0
DO45189 85 years, female, NA, stage:2, alive, 1200 days 1246.1
DO50800 74 years, male, NA, stage:2, alive, 510 days 1240.3
DO23542 66 years, male, NA, stage:3, alive, 960 days 1216.2
DO45305 66 years, male, NA, stage:4, alive, 300 days 1184.8
DO48728 74 years, female, NA, stage:2, alive, 150 days 1173.0
DO45249 57 years, male, NA, stage:1, alive, 630 days 1155.9
DO45245 75 years, female, NA, stage:2, dead, 240 days 1142.4
DO45153 77 years, female, NA, stage:2, alive, 1380 days 1141.5
DO45261 74 years, male, NA, stage:3, alive, 990 days 1139.9
DO23519 65 years, male, NA, stage:3, alive, 630 days 1129.9
DO48679 72 years, male, NA, stage:2, alive, 1200 days 1124.8
DO45131 53 years, male, NA, stage:4, dead, 360 days 1108.0
DO23514 64 years, male, NA, stage:2, alive, 1290 days 1107.2
DO23515 71 years, male, NA, stage:2, alive, 1230 days 1106.4
DO45307 54 years, female, NA, stage:4, dead, 240 days 1098.8
DO45231 84 years, male, NA, stage:2, alive, 930 days 1091.6
DO50799 66 years, female, NA, stage:2, alive, 540 days 1087.7
DO45121 61 years, male, NA, stage:3, alive, 1530 days 1085.0
DO50803 62 years, female, NA, stage:1, alive, 540 days 1083.8
DO23549 74 years, male, NA, stage:3, alive, 990 days 1074.0
DO50818 65 years, male, NA, stage:2, alive, 510 days 1071.5
DO45219 78 years, male, NA, stage:2, alive, 1080 days 1065.1
DO50844 75 years, male, NA, stage:4, alive, 300 days 1055.8
DO45173 63 years, male, NA, stage:3, alive, 1170 days 1044.1
DO48743 69 years, female, NA, stage:2, alive, 570 days 1043.8
DO45279 67 years, male, NA, stage:3, alive, 1290 days 1035.4
DO48723 73 years, male, NA, stage:1, alive, 600 days 1017.2
DO45205 67 years, female, NA, stage:2, dead, 90 days 1000.5
DO45227 57 years, female, NA, stage:2, alive, 1020 days 999.5
DO45235 68 years, female, NA, stage:1, alive, 900 days 986.5
DO45299 70 years, female, NA, stage:1, alive, 1440 days 968.0
DO45267 73 years, male, NA, stage:3, dead, 570 days 961.5
DO48697 64 years, female, NA, stage:2, dead, 810 days 952.9
DO45093 71 years, male, NA, stage:2, dead, 720 days 941.3
DO50809 56 years, male, NA, stage:3, dead, 720 days 934.1
DO23510 80 years, female, NA, stage:2, alive, 870 days 927.0
DO48712 50 years, male, NA, stage:2, alive, 810 days 926.1
DO48757 68 years, female, NA, stage:3, alive, 480 days 923.6
DO45257 46 years, male, NA, stage:3, alive, 810 days 921.4
DO45179 78 years, female, NA, stage:2, alive, 600 days 918.1
DO23527 72 years, male, NA, stage:1, alive, 1050 days 912.0
DO23529 72 years, male, NA, stage:4, alive, 930 days 910.7
DO50806 70 years, male, NA, stage:4, alive, 540 days 906.5
DO45177 81 years, female, NA, stage:3, alive, 1260 days 905.6
DO48761 55 years, male, NA, stage:2, alive, 870 days 904.2
DO50850 74 years, male, NA, stage:3, alive, 720 days 891.3
DO48704 68 years, female, NA, stage:3, alive, 750 days 877.0
DO23525 71 years, male, NA, stage:4, alive, 1050 days 867.0
DO48716 71 years, male, NA, stage:2, alive, 720 days 865.4
DO45239 42 years, male, NA, stage:2, alive, 870 days 860.8
DO45221 75 years, female, NA, stage:4, dead, 390 days 860.6
DO48695 77 years, male, NA, stage:2, alive, 720 days 859.2
DO45201 49 years, male, NA, stage:1, alive, 900 days 856.5
DO48719 80 years, male, NA, stage:2, alive, 690 days 854.9
DO48700 78 years, female, NA, stage:2, alive, 810 days 852.1
DO23511 83 years, female, NA, stage:3, dead, 180 days 850.8
DO23509 60 years, male, NA, stage:3, dead, 780 days 849.4
DO50832 73 years, male, NA, stage:3, alive, 90 days 837.8
DO45096 69 years, male, NA, stage:2, dead, 1290 days 831.4
DO45233 83 years, male, NA, stage:3, alive, 900 days 831.1
DO50820 77 years, female, NA, stage:3, alive, 510 days 829.8
DO45269 59 years, male, NA, stage:3, alive, 750 days 819.7
DO45117 73 years, female, NA, stage:2, dead, 1110 days 812.5
DO45183 72 years, female, NA, stage:2, dead, 570 days 806.1
DO50805 72 years, male, NA, stage:2, alive, 690 days 801.9
DO45203 71 years, female, NA, stage:2, alive, 1170 days 790.6
DO45137 38 years, male, NA, stage:1, alive, 1320 days 779.6
DO45263 67 years, male, NA, stage:3, dead, 270 days 776.7
DO45143 69 years, male, NA, stage:3, alive, 1290 days 775.6
DO23537 79 years, male, NA, stage:2, dead, 900 days 768.0
DO48725 66 years, male, NA, stage:1, alive, 780 days 767.5
DO50774 68 years, female, NA, stage:2, alive, 720 days 765.5
DO45253 50 years, male, NA, stage:2, alive, 870 days 752.2
DO45161 74 years, male, NA, stage:2, dead, 540 days 747.7
DO23536 56 years, male, NA, stage:2, alive, 930 days 743.6
DO45209 70 years, male, NA, stage:4, alive, 1350 days 741.7
DO45123 78 years, female, NA, stage:2, dead, 570 days 736.2
DO23539 77 years, male, NA, stage:1, alive, 1110 days 734.5
DO23550 69 years, male, NA, stage:1, alive, 990 days 732.1
DO48733 72 years, male, NA, stage:2, alive, 600 days 731.1
DO50807 67 years, male, NA, stage:1, alive, 540 days 730.6
DO45281 83 years, male, NA, stage:4, alive, 750 days 728.3
DO45301 56 years, male, NA, stage:2, dead, 1440 days 714.5
DO23521 63 years, male, NA, stage:3, alive, 1110 days 712.3
DO45129 61 years, male, NA, stage:3, alive, 1470 days 711.8
DO45191 61 years, female, NA, stage:2, alive, 1200 days 708.8
DO50859 77 years, male, NA, stage:2, alive, 180 days 706.5
DO48706 72 years, male, NA, stage:2, alive, 870 days 702.3
DO50822 66 years, male, NA, stage:2, alive, 510 days 698.7
DO48672 81 years, male, NA, stage:2, alive, 450 days 698.7
DO48742 76 years, male, NA, stage:2, alive, 600 days 697.5
DO48677 58 years, male, NA, stage:3, alive, 1140 days 696.4
DO45213 58 years, male, NA, stage:1, alive, 1200 days 695.0
DO45187 32 years, female, NA, stage:1, alive, 1260 days 693.8
DO45207 68 years, male, NA, stage:1, alive, 1050 days 689.4
DO45113 58 years, male, NA, stage:3, alive, 1560 days 688.5
DO48682 72 years, female, NA, stage:3, dead, 120 days 684.6
DO45091 56 years, male, NA, stage:2, dead, 1320 days 683.1
DO45265 73 years, male, NA, stage:3, alive, 1020 days 682.2
DO45217 69 years, female, NA, stage:3, dead, 270 days 678.9
DO45094 76 years, male, NA, stage:3, alive, 1650 days 675.7
DO50825 70 years, male, NA, stage:2, alive, 390 days 675.5
DO48736 76 years, female, NA, stage:1, alive, 600 days 672.5
DO50840 49 years, male, NA, stage:2, alive, 330 days 670.1
DO45229 74 years, male, NA, stage:1, alive, 990 days 665.1
DO45273 62 years, male, NA, stage:2, alive, 480 days 660.8
DO45133 64 years, male, NA, stage:3, dead, 660 days 659.8
DO45193 68 years, female, NA, stage:4, dead, 120 days 659.7
DO50855 47 years, male, NA, stage:2, alive, 570 days 659.3
DO50789 73 years, female, NA, stage:2, alive, 570 days 642.7
DO50776 75 years, male, NA, stage:1, alive, 690 days 642.0
DO23526 66 years, male, NA, stage:3, alive, 1050 days 641.8
DO45103 47 years, male, NA, stage:3, alive, 450 days 639.5
DO23531 78 years, female, NA, stage:3, alive, 900 days 639.2
DO23516 69 years, male, NA, stage:3, dead, 20 days 624.4
DO45211 76 years, male, NA, stage:3, alive, 240 days 622.9
DO45255 81 years, male, NA, stage:3, alive, 720 days 606.0
DO45111 74 years, male, NA, stage:2, alive, 1590 days 599.0
DO23538 67 years, male, NA, stage:2, alive, 450 days 598.7
DO48715 58 years, female, NA, stage:2, dead, 690 days 595.0
DO45097 69 years, male, NA, stage:3, alive, 1620 days 584.6
DO50785 37 years, male, NA, stage:4, dead, 90 days 579.3
DO50802 49 years, male, NA, stage:2, alive, 930 days 577.0
DO45167 67 years, male, NA, stage:2, dead, 1440 days 575.5
DO48751 68 years, male, NA, stage:2, dead, 480 days 572.0
DO45285 59 years, male, NA, stage:3, alive, 480 days 570.0
DO50783 62 years, male, NA, stage:3, alive, 480 days 568.8
DO45163 76 years, male, NA, stage:2, alive, 960 days 568.5
DO48760 70 years, female, NA, stage:2, alive, 690 days 566.9
DO45169 74 years, male, NA, stage:3, alive, 1350 days 566.3
DO45297 61 years, female, NA, stage:4, dead, 1260 days 565.5
DO48759 73 years, male, NA, stage:3, alive, 720 days 561.3
DO50798 77 years, male, NA, stage:3, dead, 30 days 557.7
DO45237 58 years, male, NA, stage:2, alive, 900 days 545.0
DO23518 67 years, male, NA, stage:2, alive, 1320 days 544.5
DO45095 66 years, male, NA, stage:2, alive, 1620 days 539.3
DO48717 54 years, male, NA, stage:4, dead, 180 days 527.0
DO45181 84 years, female, NA, stage:2, alive, 1200 days 526.3
DO45185 89 years, male, NA, stage:2, alive, 600 days 522.9
DO48727 81 years, female, NA, stage:2, dead, 390 days 519.9
DO48746 76 years, male, NA, stage:3, alive, 570 days 514.1
DO23541 65 years, male, NA, stage:2, alive, 930 days 513.6
DO45199 86 years, female, NA, stage:2, alive, 1350 days 512.5
DO50815 62 years, male, NA, stage:3, alive, 150 days 511.3
DO45251 57 years, female, NA, stage:2, alive, 900 days 510.9
DO45145 78 years, male, NA, stage:3, dead, 60 days 509.4
DO23552 80 years, female, NA, stage:1, alive, 810 days 497.8
DO50808 68 years, male, NA, stage:2, alive, 570 days 496.9
DO23546 63 years, male, NA, stage:2, alive, 1050 days 489.3
DO45149 70 years, female, NA, stage:2, alive, 1260 days 481.4
DO45215 65 years, male, NA, stage:2, alive, 1170 days 479.6
DO227801 77 years, female, NA, stage:1, alive, 660 days 471.1
DO23512 60 years, male, NA, stage:1, alive, 1260 days 465.7
DO50816 63 years, male, NA, stage:2, alive, 390 days 458.7
DO50791 79 years, female, NA, stage:1, dead, 480 days 458.4
DO45247 31 years, female, NA, stage:2, alive, 210 days 451.4
DO48681 57 years, male, NA, stage:2, alive, 900 days 444.1
DO50804 81 years, male, NA, stage:2, alive, 720 days 442.0
DO23543 63 years, male, NA, stage:2, alive, 1020 days 441.0
DO45289 78 years, female, NA, stage:3, alive, 360 days 426.4
DO23540 73 years, male, NA, stage:1, alive, 750 days 420.3
DO23528 45 years, female, NA, stage:2, alive, 1020 days 418.1
DO23533 61 years, male, NA, stage:2, alive, 900 days 416.0
DO50813 56 years, male, NA, stage:2, alive, 420 days 411.4
DO45101 63 years, male, NA, stage:2, alive, 1680 days 403.7
DO45099 46 years, male, NA, stage:3, alive, 1590 days 393.1
DO48737 52 years, male, NA, stage:1, alive, 720 days 391.3
DO23545 67 years, male, NA, stage:2, dead, 570 days 380.2
DO23513 76 years, male, NA, stage:3, alive, 1200 days 376.4
DO23551 73 years, male, NA, stage:3, dead, 150 days 373.5
DO45109 63 years, male, NA, stage:2, alive, 1590 days 368.6
DO50857 72 years, male, NA, stage:2, alive, 210 days 360.3
DO45243 74 years, female, NA, stage:3, alive, 930 days 358.7
DO50845 72 years, male, NA, stage:3, alive, 210 days 351.3
DO45241 49 years, male, NA, stage:1, alive, 1080 days 347.2
DO48701 78 years, male, NA, stage:2, alive, 780 days 341.1
DO45175 74 years, male, NA, stage:2, alive, 1140 days 334.6
DO23517 62 years, male, NA, stage:2, alive, 1200 days 326.8
DO48721 58 years, female, NA, stage:1, alive, 900 days 325.8
DO50793 76 years, male, NA, stage:4, alive, 540 days 317.6
DO50811 62 years, male, NA, stage:1, alive, 450 days 314.7
DO48693 71 years, male, NA, stage:2, alive, 900 days 314.0
DO45107 63 years, female, NA, stage:2, alive, 1710 days 312.7
DO50839 47 years, female, NA, stage:3, alive, 330 days 304.5
DO48674 80 years, male, NA, stage:2, alive, 1260 days 304.3
DO48741 64 years, male, NA, stage:3, alive, 240 days 286.3
DO23532 71 years, female, NA, stage:1, alive, 960 days 273.5
DO23548 78 years, female, NA, stage:1, alive, 840 days 266.1
DO45195 62 years, male, NA, stage:1, alive, 390 days 265.0
DO50814 83 years, male, NA, stage:3, alive, 420 days 263.5
DO23534 60 years, male, NA, stage:2, alive, 840 days 258.5
DO45125 58 years, male, NA, stage:3, alive, 1680 days 258.0
DO50817 75 years, male, NA, stage:2, alive, 390 days 254.1
DO227643 79 years, male, NA, stage:2, alive, 1260 days 222.7
DO45105 61 years, male, NA, stage:1, alive, 1680 days 193.4
DO23544 67 years, male, NA, stage:2, alive, 960 days 178.8
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LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples 330
Samples
Sample ID Sample type nRPX
363 Tumor 1.3
1025 Tumor 1.1
715 Tumor 0.9
395 Tumor 0.8
975 Tumor 0.7
745 Tumor 0.7
211 Tumor 0.7
661 Tumor 0.7
538 Normal 0.7
713 Tumor 0.6
937 Tumor 0.6
697 Tumor 0.6
533 Tumor 0.6
554 Normal 0.6
471 Tumor 0.6
1043 Tumor 0.6
223 Tumor 0.5
525 Tumor 0.5
925 Tumor 0.5
257 Tumor 0.5
911 Tumor 0.4
755 Tumor 0.4
817 Tumor 0.4
921 Tumor 0.4
124 Normal 0.4
537 Tumor 0.4
1031 Tumor 0.4
227 Tumor 0.4
965 Tumor 0.4
851 Tumor 0.4
385 Tumor 0.4
744 Normal 0.4
716 Normal 0.4
823 Tumor 0.4
343 Tumor 0.4
1041 Tumor 0.4
492 Normal 0.3
617 Tumor 0.3
861 Tumor 0.3
535 Tumor 0.3
1015 Tumor 0.3
983 Tumor 0.3
135 Tumor 0.3
883 Tumor 0.3
951 Tumor 0.3
1021 Tumor 0.3
743 Tumor 0.3
878 Normal 0.3
685 Tumor 0.2
483 Tumor 0.2
952 Normal 0.2
746 Normal 0.2
917 Tumor 0.2
147 Tumor 0.2
557 Tumor 0.2
914 Normal 0.2
545 Tumor 0.2
311 Tumor 0.2
375 Tumor 0.2
553 Tumor 0.2
125 Tumor 0.2
567 Tumor 0.2
966 Normal 0.2
721 Tumor 0.1
963 Tumor 0.1
955 Tumor 0.1
131 Tumor 0.1
451 Tumor 0.1
915 Tumor 0.1
1028 Normal 0.1
141 Tumor 0.1
881 Tumor 0.1
344 Normal 0.1
473 Tumor 0.1
342 Normal 0.0
957 Tumor 0.0
493 Tumor 0.0
185 Tumor 0.0
434 Normal 0.0
778 Normal 0.0
283 Tumor 0.0
491 Tumor 0.0
517 Tumor 0.0
1027 Tumor 0.0
953 Tumor 0.0
421 Tumor 0.0
515 Tumor 0.0
477 Tumor 0.0
461 Tumor 0.0
813 Tumor 0.0
815 Tumor 0.0
874 Normal 0.0
367 Tumor 0.0
393 Tumor 0.0
467 Tumor -0.1
137 Tumor -0.1
224 Normal -0.1
387 Tumor -0.1
443 Tumor -0.1
161 Tumor -0.1
816 Normal -0.1
814 Normal -0.1
474 Normal -0.1
727 Tumor -0.1
724 Normal -0.1
518 Normal -0.1
857 Tumor -0.1
355 Tumor -0.1
452 Normal -0.1
112 Tumor -0.2
142 Normal -0.2
967 Tumor -0.2
738 Normal -0.2
365 Tumor -0.2
111 Normal -0.2
1026 Normal -0.2
427 Tumor -0.2
867 Tumor -0.2
722 Normal -0.2
976 Normal -0.2
686 Normal -0.2
714 Normal -0.2
271 Tumor -0.2
913 Tumor -0.2
728 Normal -0.2
425 Tumor -0.2
114 Normal -0.2
858 Normal -0.2
877 Tumor -0.2
981 Tumor -0.2
824 Normal -0.2
868 Normal -0.2
364 Normal -0.2
977 Tumor -0.2
145 Tumor -0.2
526 Normal -0.2
497 Tumor -0.2
261 Tumor -0.2
463 Tumor -0.3
284 Normal -0.3
415 Tumor -0.3
128 Normal -0.3
573 Tumor -0.3
394 Normal -0.3
1022 Normal -0.3
864 Normal -0.3
742 Normal -0.3
267 Tumor -0.3
462 Normal -0.3
956 Normal -0.3
862 Normal -0.3
923 Tumor -0.3
1045 Tumor -0.3
516 Normal -0.3
172 Normal -0.3
498 Normal -0.3
466 Normal -0.3
221 Tumor -0.3
327 Tumor -0.3
866 Normal -0.3
741 Tumor -0.3
212 Normal -0.3
873 Tumor -0.3
213 Tumor -0.3
447 Tumor -0.3
943 Tumor -0.3
698 Normal -0.4
362 Normal -0.4
863 Tumor -0.4
865 Tumor -0.4
546 Normal -0.4
286 Normal -0.4
1016 Normal -0.4
968 Normal -0.4
455 Tumor -0.4
392 Normal -0.4
412 Normal -0.4
494 Normal -0.4
136 Normal -0.4
488 Normal -0.4
222 Normal -0.4
231 Tumor -0.4
1042 Normal -0.4
376 Normal -0.4
1032 Normal -0.4
696 Normal -0.4
297 Tumor -0.4
356 Normal -0.4
258 Normal -0.4
954 Normal -0.4
786 Normal -0.4
396 Normal -0.4
756 Normal -0.4
984 Normal -0.4
391 Tumor -0.4
916 Normal -0.4
884 Normal -0.4
148 Normal -0.4
785 Tumor -0.4
818 Normal -0.4
328 Normal -0.4
187 Tumor -0.4
366 Normal -0.4
123 Tumor -0.5
938 Normal -0.5
423 Tumor -0.5
411 Tumor -0.5
416 Normal -0.5
272 Normal -0.5
388 Normal -0.5
723 Tumor -0.5
232 Normal -0.5
228 Normal -0.5
478 Normal -0.5
964 Normal -0.5
482 Normal -0.5
285 Tumor -0.5
852 Normal -0.5
357 Tumor -0.5
737 Tumor -0.5
523 Tumor -0.5
277 Tumor -0.5
534 Normal -0.5
262 Normal -0.5
918 Normal -0.5
944 Normal -0.5
472 Normal -0.5
188 Normal -0.5
386 Normal -0.5
146 Normal -0.5
912 Normal -0.5
126 Normal -0.5
536 Normal -0.5
113 Tumor -0.5
186 Normal -0.5
527 Tumor -0.5
1044 Normal -0.5
313 Tumor -0.5
924 Normal -0.5
922 Normal -0.5
171 Tumor -0.5
514 Normal -0.5
882 Normal -0.5
777 Tumor -0.5
268 Normal -0.5
484 Normal -0.6
278 Normal -0.6
982 Normal -0.6
958 Normal -0.6
1014 Normal -0.6
162 Normal -0.6
353 Tumor -0.6
524 Normal -0.6
195 Tumor -0.6
138 Normal -0.6
528 Normal -0.6
448 Normal -0.6
384 Normal -0.6
341 Tumor -0.6
352 Normal -0.6
978 Normal -0.6
481 Tumor -0.6
132 Normal -0.6
695 Tumor -0.6
926 Normal -0.6
331 Tumor -0.6
464 Normal -0.6
383 Tumor -0.6
298 Normal -0.6
1046 Normal -0.7
444 Normal -0.7
456 Normal -0.7
368 Normal -0.7
214 Normal -0.7
436 Normal -0.7
358 Normal -0.7
445 Tumor -0.7
563 Tumor -0.7
433 Tumor -0.7
217 Tumor -0.7
468 Normal -0.7
127 Tumor -0.7
426 Normal -0.7
361 Tumor -0.7
422 Normal -0.7
432 Normal -0.7
424 Normal -0.7
354 Normal -0.8
312 Normal -0.8
465 Tumor -0.8
218 Normal -0.8
314 Normal -0.8
428 Normal -0.8
413 Tumor -0.8
662 Normal -0.8
487 Tumor -0.8
616 Normal -0.8
446 Normal -0.9
196 Normal -0.9
664 Normal -0.9
332 Normal -0.9
571 Tumor -0.9
672 Normal -0.9
513 Tumor -0.9
568 Normal -0.9
351 Tumor -0.9
648 Normal -0.9
635 Tumor -0.9
435 Tumor -0.9
414 Normal -0.9
574 Normal -0.9
647 Tumor -0.9
572 Normal -0.9
1013 Tumor -0.9
636 Normal -1.0
671 Tumor -1.0
628 Normal -1.0
663 Tumor -1.0
558 Normal -1.0
192 Normal -1.0
564 Normal -1.0
618 Normal -1.1
666 Normal -1.1
191 Tumor -1.1
642 Normal -1.1
615 Tumor -1.2
641 Tumor -1.2
431 Tumor -1.3
627 Tumor -1.3
665 Tumor -1.5
Show allShow less
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.

 

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 HPA004426

Antibody CAB004647
 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
Cholangiocarcinoma
Carcinoma, Hepatocellular, NOS

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