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CD63
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  • CD63
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.

CD63 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.

: 614.73
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 647.3
Number of samples 362
Samples
Sample Description pTPM
TCGA-DD-A3A6-01A 72 years, female, white, stage:Stage II, dead, 3258 days 3964.6
TCGA-ED-A7PX-01A 48 years, female, asian, stage:Stage II, alive, 6 days 2697.3
TCGA-DD-A4NH-01A 65 years, female, white, stage:Stage IIIB, alive, 917 days 2286.5
TCGA-G3-A25T-01A 45 years, female, white, stage:Stage IIIA, alive, 1553 days 2126.1
TCGA-CC-A3M9-01A 45 years, male, asian, stage:Stage IIIA, dead, 300 days 1982.6
TCGA-DD-A3A7-01A 67 years, male, stage:Stage IIIB, dead, 419 days 1956.3
TCGA-WQ-A9G7-01A 71 years, female, white, stage:'--, alive, 30 days 1935.3
TCGA-DD-A73G-01A 73 years, female, white, stage:Stage I, alive, 3478 days 1910.0
TCGA-DD-AACI-01A 69 years, male, asian, stage:Stage II, alive, 1618 days 1907.6
TCGA-CC-A7IJ-01A 56 years, male, asian, stage:Stage II, alive, 382 days 1905.2
TCGA-YA-A8S7-01A 68 years, male, white, stage:Stage IIIA, dead, 412 days 1768.5
TCGA-CC-A5UD-01A 45 years, male, asian, stage:Stage IIIA, dead, 304 days 1686.8
TCGA-FV-A3I0-01A 76 years, female, white, stage:Stage II, alive, 848 days 1672.2
TCGA-G3-A25X-01A 73 years, male, asian, stage:Stage II, alive, 1779 days 1659.8
TCGA-G3-AAV7-01A 38 years, male, asian, stage:Stage II, alive, 361 days 1628.5
TCGA-CC-A7IG-01A 47 years, male, asian, stage:Stage II, dead, 299 days 1586.5
TCGA-FV-A4ZP-01A 78 years, male, white, stage:Stage IIIA, dead, 2486 days 1552.0
TCGA-CC-A1HT-01A 50 years, male, asian, stage:Stage IIIA, dead, 101 days 1523.5
TCGA-K7-AAU7-01A 61 years, male, white, stage:Stage II, alive, 359 days 1520.7
TCGA-CC-5259-01A 60 years, female, asian, stage:Stage IIIC, alive, 250 days 1461.4
TCGA-DD-AACL-01A 66 years, female, asian, stage:Stage I, dead, 107 days 1414.3
TCGA-DD-AAD5-01A 54 years, male, asian, stage:Stage I, alive, 1345 days 1408.9
TCGA-CC-5260-01A 61 years, female, asian, stage:Stage IIIC, dead, 87 days 1366.8
TCGA-DD-A3A9-01A 64 years, female, white, stage:Stage IVB, dead, 931 days 1363.1
TCGA-GJ-A6C0-01A 75 years, female, white, stage:Stage II, dead, 31 days 1344.4
TCGA-DD-A4NA-01A 67 years, female, white, stage:Stage IIIC, alive, 1008 days 1309.9
TCGA-DD-AADI-01A 43 years, female, asian, stage:Stage I, alive, 1085 days 1297.5
TCGA-DD-AADN-01A 59 years, male, asian, stage:Stage I, alive, 898 days 1235.8
TCGA-DD-A114-01A 42 years, male, black or african american, stage:Stage II, dead, 1149 days 1231.0
TCGA-ED-A97K-01A 54 years, male, asian, stage:Stage IIIA, alive, 6 days 1223.4
TCGA-DD-A116-01A 68 years, male, asian, stage:Stage IIIA, dead, 1622 days 1213.7
TCGA-2Y-A9H0-01A 49 years, male, white, stage:Stage IIIA, alive, 3675 days 1213.3
TCGA-CC-5264-01A 71 years, male, asian, stage:Stage IIIA, dead, 102 days 1195.5
TCGA-CC-5263-01A 35 years, male, asian, stage:Stage IIIA, dead, 129 days 1187.8
TCGA-G3-A5SJ-01A 59 years, male, white, stage:Stage I, alive, 698 days 1185.0
TCGA-DD-AAE0-01A 45 years, female, asian, stage:Stage IIIA, alive, 555 days 1184.1
TCGA-CC-A123-01A 24 years, female, asian, stage:Stage IIIA, alive, 219 days 1169.1
TCGA-RC-A6M6-01A 75 years, male, white, stage:Stage II, alive, 9 days 1151.1
TCGA-BC-A10Q-01A 72 years, female, white, stage:'--, dead, 1135 days 1148.0
TCGA-2Y-A9H3-01A 45 years, male, white, stage:Stage II, alive, 1516 days 1140.8
TCGA-DD-A3A1-01A 65 years, male, stage:Stage IIIA, dead, 233 days 1136.0
TCGA-DD-A4NQ-01A 60 years, male, white, stage:Stage II, dead, 373 days 1102.6
TCGA-BC-A69H-01A 64 years, male, white, stage:Stage II, alive, 444 days 1101.8
TCGA-DD-A39Z-01A 43 years, female, stage:Stage II, dead, 601 days 1088.8
TCGA-CC-A8HU-01A 39 years, female, asian, stage:Stage IIIA, dead, 344 days 1064.4
TCGA-DD-AADO-01A 55 years, male, asian, stage:Stage I, alive, 453 days 1051.5
TCGA-CC-5262-01A 67 years, male, asian, stage:Stage IIIC, dead, 103 days 1031.5
TCGA-ZP-A9D2-01A 51 years, male, white, stage:'--, dead, 765 days 1025.9
TCGA-DD-AA3A-01A 81 years, female, white, stage:Stage I, dead, 410 days 1016.9
TCGA-DD-A1EC-01A 20 years, female, white, stage:Stage I, alive, 602 days 1006.6
TCGA-G3-A25S-01A 64 years, male, white, stage:Stage I, dead, 416 days 1001.2
TCGA-G3-AAV4-01A 83 years, female, white, stage:Stage I, dead, 27 days 995.1
TCGA-ED-A82E-01A 60 years, female, asian, stage:Stage IIIA, alive, 408 days 953.5
TCGA-MI-A75I-01A 61 years, male, black or african american, stage:'--, alive, 630 days 942.7
TCGA-ED-A7PY-01A 20 years, female, asian, stage:Stage II, alive, 390 days 940.4
TCGA-UB-A7MD-01A 67 years, male, black or african american, stage:Stage I, dead, 52 days 926.4
TCGA-GJ-A3OU-01A 59 years, male, white, stage:Stage I, alive, 879 days 903.7
TCGA-PD-A5DF-01A 58 years, female, white, stage:Stage IIIB, dead, 639 days 903.2
TCGA-DD-AACZ-01A 63 years, female, asian, stage:Stage I, dead, 171 days 900.5
TCGA-KR-A7K0-01A 65 years, male, white, stage:Stage I, dead, 65 days 899.1
TCGA-DD-A1EI-01A 46 years, male, asian, stage:Stage I, alive, 183 days 898.5
TCGA-DD-A1EJ-01A 71 years, female, white, stage:Stage IIIC, dead, 1005 days 889.9
TCGA-DD-AAC8-01A 72 years, male, asian, stage:Stage I, dead, 16 days 887.7
TCGA-DD-A4NR-01A 85 years, female, white, stage:Stage I, dead, 9 days 878.3
TCGA-DD-AAEB-01A 60 years, male, asian, stage:Stage I, alive, 478 days 875.7
TCGA-UB-A7MA-01A 62 years, female, white, stage:Stage II, alive, 848 days 872.5
TCGA-DD-AADB-01A 51 years, male, asian, stage:Stage I, alive, 1242 days 853.2
TCGA-DD-A39V-01A 77 years, male, white, stage:Stage II, dead, 643 days 849.3
TCGA-BC-A10S-01A 81 years, male, white, stage:'--, dead, 1423 days 840.5
TCGA-DD-AACO-01A 40 years, male, asian, stage:Stage I, alive, 1876 days 838.9
TCGA-CC-A8HT-01A 74 years, male, asian, stage:Stage IIIA, dead, 140 days 837.4
TCGA-WQ-AB4B-01A 62 years, male, white, stage:Stage II, alive, 395 days 836.9
TCGA-UB-A7MF-01A 56 years, male, white, stage:Stage IIIA, dead, 214 days 834.3
TCGA-DD-AAED-01A 51 years, male, asian, stage:Stage I, alive, 763 days 833.6
TCGA-DD-A11D-01A 57 years, female, white, stage:Stage I, dead, 1560 days 832.4
TCGA-G3-AAV6-01A 53 years, female, white, stage:Stage IIIA, dead, 65 days 828.0
TCGA-ES-A2HS-01A 80 years, male, white, stage:Stage I, dead, 688 days 822.2
TCGA-DD-A39Y-01A 67 years, male, asian, stage:Stage I, dead, 171 days 792.7
TCGA-CC-A5UC-01A 63 years, male, asian, stage:Stage IIIA, dead, 347 days 790.8
TCGA-ED-A66Y-01A 51 years, female, asian, stage:Stage IIIA, dead, 296 days 790.5
TCGA-DD-AAVP-01A 48 years, male, asian, stage:Stage I, alive, 2752 days 789.6
TCGA-2Y-A9H2-01A 64 years, female, white, stage:Stage I, alive, 1731 days 789.4
TCGA-BC-A10W-01A 50 years, male, asian, stage:'--, dead, 91 days 788.6
TCGA-CC-A9FW-01A 68 years, male, asian, stage:Stage IIIA, alive, 248 days 785.6
TCGA-T1-A6J8-01A 68 years, male, white, stage:'--, alive, 23 days 783.2
TCGA-RC-A7SK-01A 59 years, male, asian, stage:Stage I, alive, 472 days 780.4
TCGA-KR-A7K2-01A 64 years, male, white, stage:Stage I, alive, 829 days 769.5
TCGA-G3-A25Y-01A 52 years, female, asian, stage:Stage I, dead, 452 days 767.9
TCGA-DD-AACC-01A 61 years, male, asian, stage:Stage I, dead, 1685 days 765.2
TCGA-DD-AACA-01A 65 years, male, asian, stage:Stage I, alive, 2301 days 764.9
TCGA-DD-AACK-01A 70 years, male, asian, stage:Stage I, alive, 9 days 762.8
TCGA-WX-AA44-01A 64 years, female, white, stage:Stage I, alive, 615 days 751.1
TCGA-DD-A4NB-01A 25 years, male, white, stage:Stage I, alive, 989 days 750.1
TCGA-DD-A1EF-01A 57 years, female, white, stage:Stage I, dead, 394 days 747.2
TCGA-DD-AACB-01A 74 years, female, asian, stage:Stage I, alive, 2324 days 744.4
TCGA-DD-AADS-01A 63 years, male, asian, stage:Stage I, alive, 474 days 741.7
TCGA-DD-AACG-01A 52 years, male, asian, stage:Stage II, dead, 469 days 741.4
TCGA-FV-A3R3-01A 38 years, female, white, stage:Stage I, dead, 366 days 737.0
TCGA-DD-A4NN-01A 56 years, female, white, stage:Stage I, dead, 899 days 721.1
TCGA-RC-A7S9-01A 47 years, female, asian, stage:Stage I, alive, 640 days 716.2
TCGA-CC-A7II-01A 54 years, male, asian, stage:Stage IIIA, alive, 399 days 713.1
TCGA-BC-A112-01A 80 years, male, white, stage:'--, dead, 153 days 709.9
TCGA-CC-A3MB-01A 36 years, male, asian, stage:Stage IIIA, dead, 315 days 709.2
TCGA-ED-A7PZ-01A 61 years, male, asian, stage:Stage II, alive, 6 days 708.7
TCGA-FV-A495-01A 51 years, female, white, stage:Stage II, alive, 1 days 698.1
TCGA-DD-A119-01A 40 years, male, asian, stage:Stage IV, dead, 223 days 697.7
TCGA-EP-A3RK-01A 73 years, male, white, stage:Stage IIIA, alive, 363 days 695.2
TCGA-BC-A3KF-01A 66 years, female, white, stage:Stage I, alive, 8 days 695.1
TCGA-MI-A75C-01A 64 years, male, white, stage:Stage I, alive, 291 days 694.6
TCGA-DD-AAD8-01A 73 years, female, asian, stage:Stage I, alive, 1219 days 692.6
TCGA-DD-AAE9-01A 69 years, male, asian, stage:Stage I, alive, 722 days 692.5
TCGA-BC-A10U-01A 69 years, male, white, stage:'--, dead, 837 days 689.1
TCGA-CC-A8HS-01A 18 years, male, asian, stage:Stage IIIC, dead, 300 days 688.5
TCGA-BC-A3KG-01A 68 years, female, white, stage:Stage II, alive, 680 days 684.5
TCGA-G3-A25V-01A 68 years, male, white, stage:Stage I, alive, 860 days 683.5
TCGA-DD-AADJ-01A 70 years, female, asian, stage:Stage I, alive, 1066 days 683.5
TCGA-5C-A9VH-01A 70 years, male, white, stage:Stage I, alive, 322 days 679.0
TCGA-ED-A5KG-01A 60 years, female, asian, stage:Stage II, alive, 854 days 675.9
TCGA-DD-A4NJ-01A 54 years, female, white, stage:Stage II, alive, 928 days 672.9
TCGA-DD-AACH-01A 69 years, male, asian, stage:Stage II, dead, 195 days 672.5
TCGA-DD-AAE4-01A 49 years, female, asian, stage:Stage I, alive, 608 days 658.4
TCGA-DD-AADU-01A 60 years, male, asian, stage:Stage II, alive, 554 days 653.9
TCGA-KR-A7K7-01A 61 years, female, white, stage:Stage II, alive, 951 days 652.8
TCGA-GJ-A9DB-01A 68 years, male, white, stage:Stage I, dead, 67 days 652.8
TCGA-BC-A10R-01A 66 years, female, white, stage:'--, dead, 308 days 650.3
TCGA-G3-A7M6-01A 60 years, female, white, stage:Stage I, alive, 632 days 648.1
TCGA-DD-AAVR-01A 44 years, male, asian, stage:Stage I, alive, 2513 days 647.6
TCGA-DD-A73E-01A 66 years, male, white, stage:Stage I, alive, 44 days 646.7
TCGA-G3-A7M9-01A 70 years, male, white, stage:Stage IIIB, dead, 56 days 639.8
TCGA-CC-A5UE-01A 48 years, male, asian, stage:Stage IIIB, dead, 272 days 639.5
TCGA-2Y-A9H1-01A 58 years, male, white, stage:Stage I, dead, 1229 days 630.6
TCGA-FV-A3R2-01A 75 years, male, white, stage:Stage I, dead, 194 days 625.5
TCGA-2Y-A9GY-01A 64 years, female, white, stage:Stage II, dead, 757 days 625.0
TCGA-ED-A66X-01A 35 years, male, asian, stage:Stage IIIA, alive, 406 days 624.1
TCGA-CC-5261-01A 44 years, male, asian, stage:Stage II, dead, 97 days 623.6
TCGA-EP-A2KA-01A 52 years, female, white, stage:Stage IIIA, dead, 627 days 614.8
TCGA-DD-AADC-01A 53 years, male, asian, stage:Stage I, dead, 425 days 614.7
TCGA-FV-A496-01A 84 years, female, white, stage:Stage I, alive, 10 days 614.6
TCGA-DD-A4ND-01A 56 years, female, white, stage:Stage I, alive, 2746 days 612.6
TCGA-ED-A627-01A 74 years, male, white, stage:Stage I, alive, 423 days 611.9
TCGA-BC-A5W4-01A 69 years, male, white, stage:Stage IIIA, dead, 547 days 605.3
TCGA-DD-AADW-01A 48 years, male, asian, stage:Stage I, alive, 587 days 604.0
TCGA-DD-AACP-01A 64 years, male, asian, stage:Stage I, alive, 415 days 600.8
TCGA-DD-A1EL-01A 23 years, male, black or african american, stage:Stage II, dead, 415 days 596.5
TCGA-BD-A3EP-01A 75 years, female, black or african american, stage:Stage I, alive, 409 days 593.3
TCGA-DD-A4NS-01A 61 years, female, white, stage:Stage I, dead, 2456 days 593.2
TCGA-BD-A2L6-01A 69 years, male, white, stage:'--, alive, 1363 days 589.0
TCGA-G3-A7M7-01A 65 years, male, white, stage:Stage I, alive, 361 days 582.2
TCGA-G3-A5SM-01A 58 years, male, white, stage:Stage II, alive, 520 days 582.1
TCGA-DD-AADL-01A 58 years, male, asian, stage:Stage I, alive, 636 days 579.5
TCGA-FV-A2QQ-01A 80 years, male, white, stage:Stage I, alive, 729 days 574.1
TCGA-CC-A8HV-01A 51 years, female, asian, stage:Stage II, dead, 279 days 572.8
TCGA-DD-AACX-01A 66 years, male, asian, stage:Stage II, alive, 170 days 571.7
TCGA-DD-AAEA-01A 65 years, male, asian, stage:Stage I, alive, 575 days 570.6
TCGA-DD-AACY-01A 61 years, male, asian, stage:Stage I, alive, 1450 days 565.5
TCGA-DD-AAD6-01A 66 years, male, asian, stage:Stage IIIA, alive, 672 days 564.8
TCGA-DD-A1EH-01A 23 years, male, white, stage:Stage III, alive, 1495 days 563.4
TCGA-ED-A459-01A 47 years, male, asian, stage:Stage II, alive, 910 days 563.3
TCGA-UB-A7ME-01A 51 years, male, asian, stage:Stage I, alive, 486 days 561.0
TCGA-DD-A3A3-01A 45 years, male, asian, stage:Stage I, dead, 535 days 561.0
TCGA-2Y-A9GW-01A 64 years, male, white, stage:Stage I, dead, 1271 days 556.3
TCGA-DD-AAVQ-01A 38 years, male, asian, stage:Stage I, alive, 2728 days 555.0
TCGA-FV-A2QR-01A 75 years, male, white, stage:Stage I, dead, 581 days 554.2
TCGA-G3-A5SI-01A 44 years, male, asian, stage:Stage II, dead, 768 days 548.5
TCGA-DD-AAVW-01A 35 years, male, asian, stage:Stage I, alive, 2317 days 547.4
TCGA-KR-A7K8-01A 57 years, male, stage:Stage I, alive, 906 days 546.8
TCGA-BC-A8YO-01A 66 years, female, white, stage:Stage IIIC, alive, 562 days 545.8
TCGA-MI-A75H-01A 77 years, male, white, stage:'--, alive, 747 days 544.2
TCGA-DD-AAD0-01A 73 years, female, asian, stage:Stage I, alive, 137 days 541.8
TCGA-DD-AAVS-01A 56 years, male, asian, stage:Stage I, alive, 1823 days 538.8
TCGA-XR-A8TE-01A 16 years, male, white, stage:Stage IIIA, alive, 925 days 536.3
TCGA-BC-A217-01A 75 years, female, white, stage:Stage II, dead, 1397 days 534.5
TCGA-DD-AAVV-01A 56 years, male, asian, stage:Stage II, alive, 2455 days 533.4
TCGA-CC-A7IE-01A 57 years, male, asian, stage:Stage IIIA, dead, 217 days 533.1
TCGA-DD-A1EG-01A 76 years, male, white, stage:Stage I, dead, 1372 days 531.4
TCGA-CC-A7IF-01A 59 years, male, asian, stage:Stage IIIA, dead, 649 days 530.9
TCGA-DD-AADM-01A 58 years, male, asian, stage:Stage II, dead, 12 days 529.9
TCGA-G3-AAV5-01A 67 years, male, white, stage:Stage II, alive, 354 days 529.8
TCGA-NI-A4U2-01A 71 years, male, white, stage:Stage IIIA, dead, 1791 days 529.5
TCGA-DD-AACU-01A 59 years, male, asian, stage:Stage I, alive, 1567 days 529.3
TCGA-5C-AAPD-01A 61 years, male, asian, stage:Stage II, alive, 20 days 528.5
TCGA-ED-A8O6-01A 50 years, female, asian, stage:Stage IIIA, dead, 56 days 526.8
TCGA-DD-AAD1-01A 51 years, female, asian, stage:Stage I, alive, 564 days 526.6
TCGA-FV-A4ZQ-01A 52 years, male, white, stage:Stage I, alive, 12 days 525.9
TCGA-2Y-A9GX-01A 68 years, male, white, stage:Stage I, alive, 2442 days 525.7
TCGA-BC-A110-01A 51 years, female, black or african american, stage:'--, dead, 2116 days 517.5
TCGA-G3-A3CJ-01A 52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days 516.6
TCGA-2Y-A9H6-01A 68 years, female, white, stage:Stage I, alive, 357 days 515.5
TCGA-CC-5258-01A 48 years, male, asian, stage:Stage II, dead, 129 days 512.9
TCGA-DD-A113-01A 55 years, female, white, stage:Stage II, alive, 2425 days 512.8
TCGA-CC-A7IK-01A 59 years, male, asian, stage:Stage IIIA, dead, 262 days 512.0
TCGA-DD-AAEI-01A 72 years, male, asian, stage:Stage I, alive, 1531 days 510.2
TCGA-DD-AADA-01A 66 years, female, asian, stage:Stage I, alive, 1233 days 509.8
TCGA-DD-A118-01A 77 years, female, white, stage:Stage II, alive, 3437 days 504.8
TCGA-XR-A8TF-01A 74 years, male, white, stage:Stage I, dead, 693 days 504.7
TCGA-RC-A7SB-01A 53 years, male, asian, stage:Stage II, alive, 588 days 503.9
TCGA-DD-A39W-01A 29 years, female, white, stage:Stage III, dead, 827 days 503.4
TCGA-FV-A23B-01A 70 years, female, white, stage:Stage II, dead, 1852 days 503.1
TCGA-DD-AAEE-01A 55 years, male, asian, stage:Stage I, alive, 810 days 499.7
TCGA-BW-A5NO-01A 50 years, male, black or african american, stage:Stage IIIA, alive, 20 days 499.5
TCGA-CC-A7IH-01A 58 years, male, asian, stage:Stage IIIA, alive, 365 days 496.4
TCGA-2Y-A9H7-01A 81 years, female, white, stage:Stage I, alive, 1168 days 495.8
TCGA-DD-A1EE-01A 73 years, male, white, stage:Stage IIIA, dead, 349 days 494.9
TCGA-RC-A7SH-01A 42 years, male, asian, stage:Stage II, alive, 468 days 493.8
TCGA-CC-A3MA-01A 61 years, male, asian, stage:Stage IIIA, dead, 303 days 493.6
TCGA-MI-A75E-01A 61 years, male, white, stage:Stage IIIC, alive, 507 days 493.6
TCGA-G3-A7M5-01A 76 years, male, asian, stage:Stage I, alive, 447 days 488.0
TCGA-DD-A1EK-01A 64 years, female, white, stage:Stage IVB, dead, 558 days 485.5
TCGA-NI-A8LF-01A 74 years, male, white, stage:Stage I, alive, 799 days 485.0
TCGA-ED-A7XO-01A 29 years, male, asian, stage:Stage IIIA, alive, 427 days 484.4
TCGA-BC-A69I-01A 69 years, male, white, stage:Stage I, alive, 387 days 475.1
TCGA-DD-AADV-01A 50 years, male, asian, stage:Stage I, alive, 574 days 474.8
TCGA-ZP-A9CZ-01A 72 years, male, asian, stage:'--, alive, 706 days 474.1
TCGA-DD-A4NF-01A 72 years, male, white, stage:Stage I, alive, 942 days 473.5
TCGA-DD-AADF-01A 64 years, female, asian, stage:Stage I, dead, 115 days 473.3
TCGA-G3-AAV3-01A 58 years, female, white, stage:Stage II, alive, 412 days 473.2
TCGA-HP-A5MZ-01A 78 years, male, stage:Stage I, dead, 91 days 466.3
TCGA-DD-A73B-01A 72 years, female, white, stage:Stage I, dead, 283 days 464.8
TCGA-DD-AACV-01A 53 years, male, asian, stage:Stage I, alive, 1531 days 462.4
TCGA-DD-AACJ-01A 75 years, male, asian, stage:Stage II, alive, 2102 days 462.0
TCGA-O8-A75V-01A 54 years, male, stage:Stage I, alive, 538 days 461.8
TCGA-RC-A6M5-01A 20 years, female, white, stage:Stage IVA, alive, 15 days 461.6
TCGA-G3-AAV1-01A 51 years, male, asian, stage:Stage IIIC, dead, 359 days 461.2
TCGA-K7-A5RG-01A 66 years, male, black or african american, stage:Stage I, alive, 519 days 460.3
TCGA-RC-A7SF-01A 66 years, male, asian, stage:Stage I, alive, 579 days 460.2
TCGA-BC-A216-01A 62 years, female, white, stage:Stage IIIA, alive, 1351 days 455.9
TCGA-DD-AAC9-01A 51 years, male, asian, stage:Stage I, alive, 347 days 454.1
TCGA-5R-AA1C-01A 57 years, male, white, stage:Stage II, alive, 520 days 453.2
TCGA-XR-A8TG-01A 58 years, male, white, stage:Stage I, alive, 898 days 453.1
TCGA-2Y-A9H5-01A 59 years, female, white, stage:Stage I, dead, 555 days 450.5
TCGA-DD-A3A8-01A 75 years, male, white, stage:Stage II, dead, 11 days 446.8
TCGA-RG-A7D4-01A 69 years, male, black or african american, stage:Stage II, alive, 1098 days 446.7
TCGA-ED-A7XP-01A 53 years, female, asian, stage:Stage II, alive, 400 days 445.1
TCGA-LG-A6GG-01A 79 years, female, white, stage:Stage II, alive, 387 days 444.9
TCGA-5C-A9VG-01A 58 years, male, white, stage:Stage II, alive, 328 days 444.8
TCGA-DD-AAE3-01A 50 years, male, asian, stage:Stage I, alive, 566 days 444.4
TCGA-DD-A73A-01A 71 years, male, white, stage:Stage I, alive, 728 days 442.7
TCGA-G3-AAV2-01A 50 years, male, white, stage:Stage I, alive, 372 days 441.1
TCGA-DD-AACQ-01A 50 years, male, asian, stage:Stage II, dead, 432 days 440.0
TCGA-ZS-A9CF-01A 64 years, male, white, stage:Stage II, alive, 2412 days 437.3
TCGA-5R-AA1D-01A 17 years, female, white, stage:Stage IIIA, alive, 449 days 436.6
TCGA-EP-A2KB-01A 46 years, female, white, stage:Stage I, dead, 596 days 435.5
TCGA-ES-A2HT-01A 54 years, male, black or african american, stage:Stage I, dead, 438 days 435.4
TCGA-DD-A4NE-01A 75 years, female, white, stage:Stage IIIA, dead, 660 days 434.5
TCGA-DD-AAD3-01A 43 years, male, asian, stage:Stage I, alive, 1295 days 434.3
TCGA-MR-A8JO-01A 34 years, male, white, stage:Stage I, alive, 330 days 433.1
TCGA-MI-A75G-01A 63 years, male, white, stage:Stage II, alive, 698 days 432.9
TCGA-DD-A39X-01A 78 years, female, white, stage:Stage I, dead, 1694 days 431.5
TCGA-DD-AADY-01A 55 years, female, asian, stage:Stage I, alive, 555 days 427.3
TCGA-DD-AAE1-01A 52 years, male, asian, stage:Stage I, alive, 552 days 426.3
TCGA-FV-A3I1-01A 81 years, female, white, stage:Stage II, dead, 247 days 424.3
TCGA-ZP-A9CY-01A 66 years, female, white, stage:'--, alive, 782 days 424.1
TCGA-DD-AACD-01A 48 years, male, asian, stage:Stage I, dead, 381 days 423.9
TCGA-CC-A3MC-01A 54 years, male, asian, stage:Stage IIIA, alive, 363 days 423.2
TCGA-G3-AAV0-01A 58 years, male, asian, stage:Stage I, alive, 476 days 422.3
TCGA-G3-AAUZ-01A 48 years, male, stage:Stage I, alive, 480 days 422.1
TCGA-XR-A8TD-01A 49 years, female, white, stage:Stage IIIB, alive, 1030 days 418.3
TCGA-EP-A3JL-01A 76 years, male, white, stage:Stage I, alive, 303 days 411.1
TCGA-G3-A5SL-01A 70 years, male, white, stage:Stage II, alive, 621 days 409.8
TCGA-DD-AAW0-01A 54 years, male, asian, stage:Stage I, alive, 2015 days 406.0
TCGA-DD-AAE6-01A 59 years, female, asian, stage:Stage I, alive, 141 days 405.1
TCGA-ZP-A9D0-01A 67 years, female, black or african american, stage:'--, alive, 1091 days 404.4
TCGA-K7-A6G5-01A 66 years, male, white, stage:Stage I, alive, 512 days 404.0
TCGA-ZS-A9CG-01A 55 years, male, white, stage:Stage II, alive, 341 days 401.6
TCGA-DD-AAEG-01A 59 years, female, asian, stage:Stage I, alive, 719 days 401.3
TCGA-DD-AADK-01A 68 years, female, asian, stage:Stage II, alive, 1049 days 400.6
TCGA-DD-AADR-01A 58 years, male, asian, stage:Stage I, alive, 2028 days 399.7
TCGA-BC-A10X-01A 52 years, female, white, stage:Stage IIIA, dead, 770 days 399.0
TCGA-DD-A11B-01A 73 years, male, white, stage:Stage I, dead, 14 days 398.1
TCGA-DD-AADP-01A 45 years, male, asian, stage:Stage I, alive, 458 days 397.9
TCGA-2Y-A9GS-01A 58 years, male, white, stage:'--, dead, 724 days 395.2
TCGA-DD-A115-01A 53 years, male, white, stage:Stage IIIA, dead, 2542 days 393.6
TCGA-ED-A4XI-01A 58 years, male, asian, stage:Stage II, alive, 819 days 392.7
TCGA-DD-A3A4-01A 37 years, male, white, stage:Stage IIIA, dead, 612 days 392.7
TCGA-DD-AAD2-01A 66 years, male, asian, stage:Stage I, alive, 658 days 388.6
TCGA-HP-A5N0-01A 90 years, female, stage:'--, dead, 752 days 384.9
TCGA-BD-A3ER-01A 62 years, male, white, stage:Stage II, alive, 1115 days 384.8
TCGA-ZS-A9CD-01A 73 years, male, white, stage:Stage II, dead, 1386 days 383.9
TCGA-EP-A2KC-01A 62 years, male, black or african american, stage:Stage I, dead, 19 days 382.3
TCGA-XR-A8TC-01A 43 years, female, white, stage:Stage I, alive, 1339 days 381.8
TCGA-DD-AACW-01A 43 years, male, asian, stage:Stage I, alive, 1424 days 381.6
TCGA-DD-AACF-01A 68 years, male, asian, stage:Stage I, dead, 365 days 381.4
TCGA-UB-AA0U-01A 60 years, male, white, stage:Stage II, alive, 327 days 380.3
TCGA-DD-AAE7-01A 72 years, male, asian, stage:Stage I, alive, 644 days 377.6
TCGA-CC-A9FS-01A 55 years, male, asian, stage:Stage II, alive, 211 days 376.6
TCGA-G3-A5SK-01A 58 years, male, white, stage:Stage I, alive, 744 days 375.7
TCGA-DD-A4NG-01A 77 years, male, white, stage:Stage IIIA, dead, 802 days 372.4
TCGA-G3-A25Z-01A 58 years, male, asian, stage:Stage I, alive, 655 days 365.8
TCGA-RC-A6M4-01A 74 years, female, white, stage:Stage IIIA, alive, 22 days 364.3
TCGA-DD-AAEH-01A 73 years, male, asian, stage:Stage I, alive, 784 days 363.1
TCGA-DD-AADQ-01A 59 years, male, asian, stage:Stage II, alive, 436 days 360.9
TCGA-DD-AAEK-01A 51 years, male, asian, stage:Stage II, alive, 1067 days 360.3
TCGA-2Y-A9HA-01A 70 years, male, white, stage:Stage II, dead, 36 days 359.7
TCGA-DD-A4NP-01A 32 years, male, white, stage:Stage I, alive, 3308 days 356.4
TCGA-2Y-A9H8-01A 85 years, female, white, stage:'--, dead, 633 days 354.9
TCGA-DD-AAW3-01A 69 years, male, asian, stage:Stage I, alive, 1633 days 353.3
TCGA-DD-AACT-01A 69 years, female, asian, stage:Stage I, alive, 1562 days 350.2
TCGA-DD-A11C-01A 69 years, male, white, stage:Stage I, alive, 662 days 347.6
TCGA-LG-A9QC-01A 48 years, male, white, stage:Stage I, alive, 425 days 345.1
TCGA-EP-A26S-01A 70 years, male, white, stage:Stage I, alive, 608 days 345.1
TCGA-G3-A3CH-01A 53 years, male, asian, stage:Stage IIIA, alive, 780 days 344.9
TCGA-K7-A5RF-01A 64 years, male, white, stage:Stage I, alive, 631 days 341.1
TCGA-5R-AAAM-01A 65 years, female, white, stage:Stage II, dead, 46 days 339.7
TCGA-QA-A7B7-01A 48 years, male, black or african american, stage:Stage II, alive, 94 days 337.5
TCGA-DD-AADD-01A 51 years, male, asian, stage:Stage I, alive, 1231 days 336.7
TCGA-G3-A3CI-01A 71 years, male, white, stage:Stage I, alive, 180 days 336.7
TCGA-ZP-A9CV-01A 59 years, male, white, stage:'--, dead, 1088 days 330.9
TCGA-UB-AA0V-01A 69 years, female, white, stage:Stage I, alive, 314 days 324.5
TCGA-WX-AA46-01A 61 years, male, white, stage:Stage II, alive, 756 days 322.6
TCGA-4R-AA8I-01A 66 years, male, white, stage:Stage II, dead, 262 days 321.1
TCGA-DD-AAVZ-01A 38 years, male, asian, stage:Stage I, alive, 1900 days 320.3
TCGA-DD-AAW1-01A 55 years, male, asian, stage:Stage IIIA, alive, 1989 days 316.6
TCGA-DD-AADG-01A 70 years, male, asian, stage:Stage IIIA, alive, 1145 days 315.9
TCGA-2Y-A9H4-01A 68 years, male, black or african american, stage:Stage I, alive, 1452 days 314.6
TCGA-G3-A3CK-01A 61 years, male, asian, stage:Stage I, alive, 585 days 314.1
TCGA-DD-A4NO-01A 65 years, male, white, stage:Stage I, alive, 2245 days 314.0
TCGA-BC-A10T-01A 76 years, male, white, stage:'--, dead, 837 days 311.5
TCGA-DD-A1EB-01A 72 years, female, stage:Stage I, alive, 2017 days 307.4
TCGA-CC-A7IL-01A 61 years, male, asian, stage:Stage IIIA, dead, 278 days 305.5
TCGA-2Y-A9HB-01A 66 years, male, stage:Stage I, alive, 260 days 302.2
TCGA-UB-A7MB-01A 24 years, male, white, stage:Stage II, alive, 601 days 299.7
TCGA-ZP-A9D1-01A 56 years, female, white, stage:'--, alive, 21 days 299.2
TCGA-DD-AACS-01A 39 years, male, asian, stage:Stage I, alive, 1804 days 298.3
TCGA-G3-A3CG-01A 80 years, male, white, stage:Stage I, alive, 673 days 297.7
TCGA-DD-A4NV-01A 61 years, male, white, stage:Stage IIIA, alive, 2398 days 294.8
TCGA-3K-AAZ8-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 396 days 293.4
TCGA-DD-AAVY-01A 56 years, male, asian, stage:Stage IIIA, alive, 1970 days 291.7
TCGA-2Y-A9GT-01A 51 years, male, white, stage:Stage I, dead, 1624 days 290.0
TCGA-ED-A8O5-01A 59 years, female, asian, stage:Stage IIIA, alive, 406 days 289.4
TCGA-DD-AACN-01A 32 years, male, asian, stage:Stage I, alive, 1302 days 288.6
TCGA-2Y-A9GU-01A 55 years, female, white, stage:Stage I, alive, 1939 days 288.4
TCGA-WX-AA47-01A 33 years, female, white, stage:Stage IIIA, dead, 556 days 288.4
TCGA-2Y-A9H9-01A 70 years, male, white, stage:Stage I, alive, 697 days 288.3
TCGA-DD-A3A5-01A 66 years, female, white, stage:Stage III, dead, 3125 days 286.0
TCGA-UB-A7MC-01A 59 years, male, white, stage:Stage IIIA, alive, 500 days 285.5
TCGA-DD-A3A2-01A 76 years, female, white, stage:Stage I, dead, 2131 days 284.0
TCGA-DD-A1ED-01A 68 years, male, white, stage:Stage I, alive, 2301 days 282.4
TCGA-WJ-A86L-01A 68 years, female, white, stage:Stage I, alive, 345 days 276.3
TCGA-LG-A9QD-01A 68 years, male, white, stage:Stage IIIA, alive, 366 days 265.7
TCGA-DD-A1EA-01A 68 years, male, asian, stage:Stage II, alive, 2415 days 264.8
TCGA-BC-A10Y-01A 76 years, male, white, stage:'--, dead, 711 days 261.3
TCGA-DD-A73C-01A 65 years, female, white, stage:Stage IIIA, alive, 701 days 260.2
TCGA-2Y-A9GV-01A 54 years, female, white, stage:Stage I, dead, 2532 days 260.2
TCGA-DD-AAE2-01A 51 years, male, asian, stage:Stage I, alive, 638 days 259.0
TCGA-ZP-A9D4-01A 64 years, female, white, stage:'--, alive, 395 days 256.4
TCGA-DD-AAW2-01A 69 years, male, asian, stage:Stage I, alive, 1855 days 248.4
TCGA-EP-A12J-01A 62 years, male, black or african american, stage:Stage I, alive, 570 days 239.7
TCGA-DD-A4NI-01A 67 years, male, white, stage:Stage II, alive, 816 days 237.9
TCGA-DD-A73D-01A 68 years, female, white, stage:Stage II, alive, 693 days 237.0
TCGA-DD-AACE-01A 62 years, male, asian, stage:Stage I, alive, 2184 days 231.2
TCGA-BC-A10Z-01A 62 years, female, white, stage:Stage I, dead, 34 days 230.0
TCGA-DD-A73F-01A 77 years, female, white, stage:Stage I, alive, 1085 days 229.0
TCGA-DD-A4NL-01A 46 years, male, white, stage:Stage I, alive, 1711 days 228.3
TCGA-G3-A25U-01A 63 years, female, asian, stage:Stage I, alive, 1636 days 227.8
TCGA-DD-AAVU-01A 46 years, male, asian, stage:Stage II, alive, 2202 days 220.8
TCGA-G3-A6UC-01A 65 years, male, white, stage:Stage IIIB, alive, 671 days 209.0
TCGA-DD-AAVX-01A 38 years, male, asian, stage:Stage II, alive, 1718 days 202.9
TCGA-G3-A7M8-01A 31 years, male, asian, stage:Stage I, alive, 430 days 190.7
TCGA-DD-A4NK-01A 80 years, female, white, stage:Stage IIIA, dead, 1210 days 180.9
TCGA-ZS-A9CE-01A 79 years, female, white, stage:Stage II, alive, 1241 days 168.8
TCGA-MR-A520-01A 58 years, male, white, stage:Stage I, alive, 229 days 159.1
TCGA-2Y-A9GZ-01A 82 years, female, white, stage:Stage II, dead, 848 days 129.3
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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.

CD63 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.

: 1103.29
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 863.6
Number of samples 231
Samples
Sample Description pTPM
DO45275 65 years, male, NA, stage:3, dead, 10 days 3990.2
DO23523 52 years, male, NA, stage:3, alive, 1080 days 3262.4
DO45245 75 years, female, NA, stage:2, dead, 240 days 3200.2
DO50829 78 years, male, NA, stage:3, alive, 570 days 2862.4
DO45277 64 years, male, NA, stage:3, alive, 600 days 2358.2
DO45305 66 years, male, NA, stage:4, alive, 300 days 2312.1
DO23524 71 years, female, NA, stage:2, alive, 1050 days 2299.7
DO45289 78 years, female, NA, stage:3, alive, 360 days 2238.0
DO48747 62 years, male, NA, stage:3, alive, 540 days 2185.6
DO45307 54 years, female, NA, stage:4, dead, 240 days 2183.5
DO45303 62 years, female, NA, stage:3, alive, 990 days 2163.1
DO45263 67 years, male, NA, stage:3, dead, 270 days 2102.7
DO45185 89 years, male, NA, stage:2, alive, 600 days 2020.7
DO45283 60 years, male, NA, stage:3, alive, 510 days 1996.0
DO45127 73 years, male, NA, stage:3, dead, 420 days 1921.0
DO45205 67 years, female, NA, stage:2, dead, 90 days 1785.5
DO45285 59 years, male, NA, stage:3, alive, 480 days 1737.4
DO45279 67 years, male, NA, stage:3, alive, 1290 days 1710.4
DO23547 74 years, male, NA, stage:1, alive, 1020 days 1709.7
DO45092 62 years, male, NA, stage:4, dead, 1200 days 1675.0
DO45297 61 years, female, NA, stage:4, dead, 1260 days 1673.0
DO45287 74 years, male, NA, stage:1, alive, 390 days 1660.9
DO45139 63 years, male, NA, stage:3, alive, 1320 days 1620.3
DO45145 78 years, male, NA, stage:3, dead, 60 days 1608.0
DO23515 71 years, male, NA, stage:2, alive, 1230 days 1529.0
DO45119 74 years, male, NA, stage:3, dead, 510 days 1498.9
DO45259 65 years, male, NA, stage:3, alive, 330 days 1477.5
DO23519 65 years, male, NA, stage:3, alive, 630 days 1462.8
DO45249 57 years, male, NA, stage:1, alive, 630 days 1400.5
DO45251 57 years, female, NA, stage:2, alive, 900 days 1392.6
DO45301 56 years, male, NA, stage:2, dead, 1440 days 1378.6
DO23530 53 years, male, NA, stage:4, dead, 180 days 1344.2
DO45269 59 years, male, NA, stage:3, alive, 750 days 1320.3
DO45157 62 years, male, NA, stage:2, alive, 1980 days 1270.1
DO45223 67 years, male, NA, stage:4, alive, 1020 days 1252.9
DO45135 77 years, male, NA, stage:1, alive, 1410 days 1247.1
DO23535 67 years, male, NA, stage:1, alive, 960 days 1189.4
DO50778 60 years, male, NA, stage:4, alive, 630 days 1188.6
DO48761 55 years, male, NA, stage:2, alive, 870 days 1184.8
DO45183 72 years, female, NA, stage:2, dead, 570 days 1170.5
DO45299 70 years, female, NA, stage:1, alive, 1440 days 1169.3
DO48723 73 years, male, NA, stage:1, alive, 600 days 1156.6
DO48697 64 years, female, NA, stage:2, dead, 810 days 1155.8
DO48741 64 years, male, NA, stage:3, alive, 240 days 1150.7
DO45189 85 years, female, NA, stage:2, alive, 1200 days 1148.8
DO23539 77 years, male, NA, stage:1, alive, 1110 days 1138.8
DO45191 61 years, female, NA, stage:2, alive, 1200 days 1134.4
DO45267 73 years, male, NA, stage:3, dead, 570 days 1127.3
DO45155 69 years, male, NA, stage:2, alive, 2160 days 1124.0
DO48717 54 years, male, NA, stage:4, dead, 180 days 1122.5
DO48720 62 years, female, NA, stage:2, alive, 570 days 1119.9
DO45131 53 years, male, NA, stage:4, dead, 360 days 1104.2
DO48681 57 years, male, NA, stage:2, alive, 900 days 1102.4
DO45187 32 years, female, NA, stage:1, alive, 1260 days 1075.1
DO48728 74 years, female, NA, stage:2, alive, 150 days 1068.0
DO23526 66 years, male, NA, stage:3, alive, 1050 days 1058.5
DO48730 73 years, female, NA, stage:2, alive, 630 days 1035.4
DO50855 47 years, male, NA, stage:2, alive, 570 days 1035.1
DO45231 84 years, male, NA, stage:2, alive, 930 days 1022.9
DO45143 69 years, male, NA, stage:3, alive, 1290 days 1016.3
DO45115 81 years, male, NA, stage:2, alive, 840 days 1014.2
DO45265 73 years, male, NA, stage:3, alive, 1020 days 1001.6
DO50785 37 years, male, NA, stage:4, dead, 90 days 996.6
DO48751 68 years, male, NA, stage:2, dead, 480 days 990.4
DO45241 49 years, male, NA, stage:1, alive, 1080 days 979.5
DO48732 73 years, male, NA, stage:3, alive, 630 days 971.4
DO50809 56 years, male, NA, stage:3, dead, 720 days 962.0
DO50800 74 years, male, NA, stage:2, alive, 510 days 961.6
DO23549 74 years, male, NA, stage:3, alive, 990 days 953.8
DO50813 56 years, male, NA, stage:2, alive, 420 days 939.3
DO45103 47 years, male, NA, stage:3, alive, 450 days 936.8
DO50819 72 years, female, NA, stage:2, alive, 510 days 933.4
DO50806 70 years, male, NA, stage:4, alive, 540 days 932.5
DO50789 73 years, female, NA, stage:2, alive, 570 days 919.6
DO45273 62 years, male, NA, stage:2, alive, 480 days 907.2
DO23508 79 years, female, NA, stage:2, alive, 390 days 906.8
DO45243 74 years, female, NA, stage:3, alive, 930 days 897.2
DO23513 76 years, male, NA, stage:3, alive, 1200 days 895.0
DO23542 66 years, male, NA, stage:3, alive, 960 days 892.7
DO50808 68 years, male, NA, stage:2, alive, 570 days 874.7
DO45149 70 years, female, NA, stage:2, alive, 1260 days 862.2
DO23529 72 years, male, NA, stage:4, alive, 930 days 860.3
DO45173 63 years, male, NA, stage:3, alive, 1170 days 854.3
DO50805 72 years, male, NA, stage:2, alive, 690 days 830.9
DO48682 72 years, female, NA, stage:3, dead, 120 days 819.3
DO48743 69 years, female, NA, stage:2, alive, 570 days 818.1
DO50787 63 years, male, NA, stage:3, alive, 480 days 810.6
DO48672 81 years, male, NA, stage:2, alive, 450 days 797.1
DO45239 42 years, male, NA, stage:2, alive, 870 days 795.8
DO45153 77 years, female, NA, stage:2, alive, 1380 days 793.4
DO48737 52 years, male, NA, stage:1, alive, 720 days 782.3
DO45121 61 years, male, NA, stage:3, alive, 1530 days 777.8
DO45213 58 years, male, NA, stage:1, alive, 1200 days 776.1
DO45221 75 years, female, NA, stage:4, dead, 390 days 766.8
DO23545 67 years, male, NA, stage:2, dead, 570 days 766.1
DO48715 58 years, female, NA, stage:2, dead, 690 days 763.9
DO50822 66 years, male, NA, stage:2, alive, 510 days 754.5
DO45105 61 years, male, NA, stage:1, alive, 1680 days 754.3
DO23512 60 years, male, NA, stage:1, alive, 1260 days 752.9
DO48712 50 years, male, NA, stage:2, alive, 810 days 751.8
DO45141 73 years, male, NA, stage:2, alive, 1320 days 747.2
DO48679 72 years, male, NA, stage:2, alive, 1200 days 745.2
DO45093 71 years, male, NA, stage:2, dead, 720 days 737.8
DO45165 75 years, male, NA, stage:2, alive, 690 days 735.3
DO23537 79 years, male, NA, stage:2, dead, 900 days 730.2
DO23543 63 years, male, NA, stage:2, alive, 1020 days 727.1
DO23510 80 years, female, NA, stage:2, alive, 870 days 724.6
DO50850 74 years, male, NA, stage:3, alive, 720 days 722.2
DO50783 62 years, male, NA, stage:3, alive, 480 days 714.8
DO45179 78 years, female, NA, stage:2, alive, 600 days 714.3
DO23548 78 years, female, NA, stage:1, alive, 840 days 708.0
DO48725 66 years, male, NA, stage:1, alive, 780 days 700.7
DO48700 78 years, female, NA, stage:2, alive, 810 days 697.9
DO50776 75 years, male, NA, stage:1, alive, 690 days 694.9
DO45281 83 years, male, NA, stage:4, alive, 750 days 692.6
DO23546 63 years, male, NA, stage:2, alive, 1050 days 690.4
DO45091 56 years, male, NA, stage:2, dead, 1320 days 683.5
DO45109 63 years, male, NA, stage:2, alive, 1590 days 680.3
DO23533 61 years, male, NA, stage:2, alive, 900 days 672.9
DO50839 47 years, female, NA, stage:3, alive, 330 days 672.9
DO48736 76 years, female, NA, stage:1, alive, 600 days 671.2
DO45161 74 years, male, NA, stage:2, dead, 540 days 668.9
DO45209 70 years, male, NA, stage:4, alive, 1350 days 667.3
DO45171 56 years, male, NA, stage:3, alive, 600 days 666.5
DO45201 49 years, male, NA, stage:1, alive, 900 days 665.8
DO45133 64 years, male, NA, stage:3, dead, 660 days 665.7
DO50774 68 years, female, NA, stage:2, alive, 720 days 662.0
DO45225 69 years, male, NA, stage:1, alive, 1050 days 648.9
DO50803 62 years, female, NA, stage:1, alive, 540 days 642.7
DO45197 51 years, male, NA, stage:2, alive, 1170 days 642.5
DO45095 66 years, male, NA, stage:2, alive, 1620 days 636.1
DO23550 69 years, male, NA, stage:1, alive, 990 days 632.6
DO50814 83 years, male, NA, stage:3, alive, 420 days 620.8
DO45177 81 years, female, NA, stage:3, alive, 1260 days 618.3
DO48701 78 years, male, NA, stage:2, alive, 780 days 618.1
DO23509 60 years, male, NA, stage:3, dead, 780 days 616.7
DO23541 65 years, male, NA, stage:2, alive, 930 days 613.4
DO45217 69 years, female, NA, stage:3, dead, 270 days 609.4
DO23514 64 years, male, NA, stage:2, alive, 1290 days 609.3
DO50859 77 years, male, NA, stage:2, alive, 180 days 608.7
DO45097 69 years, male, NA, stage:3, alive, 1620 days 607.6
DO48742 76 years, male, NA, stage:2, alive, 600 days 601.5
DO45233 83 years, male, NA, stage:3, alive, 900 days 595.4
DO45207 68 years, male, NA, stage:1, alive, 1050 days 593.6
DO48719 80 years, male, NA, stage:2, alive, 690 days 590.8
DO45219 78 years, male, NA, stage:2, alive, 1080 days 581.9
DO48759 73 years, male, NA, stage:3, alive, 720 days 581.2
DO50818 65 years, male, NA, stage:2, alive, 510 days 578.6
DO50825 70 years, male, NA, stage:2, alive, 390 days 577.5
DO50820 77 years, female, NA, stage:3, alive, 510 days 575.3
DO23536 56 years, male, NA, stage:2, alive, 930 days 572.6
DO45159 65 years, male, NA, stage:3, alive, 1470 days 569.2
DO45181 84 years, female, NA, stage:2, alive, 1200 days 565.2
DO45169 74 years, male, NA, stage:3, alive, 1350 days 563.5
DO23525 71 years, male, NA, stage:4, alive, 1050 days 561.8
DO45211 76 years, male, NA, stage:3, alive, 240 days 559.9
DO45137 38 years, male, NA, stage:1, alive, 1320 days 555.1
DO23534 60 years, male, NA, stage:2, alive, 840 days 554.4
DO48693 71 years, male, NA, stage:2, alive, 900 days 551.9
DO48733 72 years, male, NA, stage:2, alive, 600 days 551.1
DO50802 49 years, male, NA, stage:2, alive, 930 days 545.9
DO45203 71 years, female, NA, stage:2, alive, 1170 days 545.4
DO227801 77 years, female, NA, stage:1, alive, 660 days 540.3
DO23527 72 years, male, NA, stage:1, alive, 1050 days 540.0
DO50845 72 years, male, NA, stage:3, alive, 210 days 539.1
DO23511 83 years, female, NA, stage:3, dead, 180 days 536.5
DO48757 68 years, female, NA, stage:3, alive, 480 days 532.9
DO45227 57 years, female, NA, stage:2, alive, 1020 days 532.3
DO48695 77 years, male, NA, stage:2, alive, 720 days 531.0
DO50840 49 years, male, NA, stage:2, alive, 330 days 528.6
DO45255 81 years, male, NA, stage:3, alive, 720 days 525.3
DO45113 58 years, male, NA, stage:3, alive, 1560 days 521.2
DO23521 63 years, male, NA, stage:3, alive, 1110 days 520.5
DO45235 68 years, female, NA, stage:1, alive, 900 days 519.5
DO45129 61 years, male, NA, stage:3, alive, 1470 days 519.4
DO45247 31 years, female, NA, stage:2, alive, 210 days 514.1
DO45229 74 years, male, NA, stage:1, alive, 990 days 497.5
DO50811 62 years, male, NA, stage:1, alive, 450 days 494.0
DO23518 67 years, male, NA, stage:2, alive, 1320 days 492.6
DO45099 46 years, male, NA, stage:3, alive, 1590 days 489.2
DO45163 76 years, male, NA, stage:2, alive, 960 days 485.4
DO45215 65 years, male, NA, stage:2, alive, 1170 days 484.7
DO48704 68 years, female, NA, stage:3, alive, 750 days 481.1
DO45257 46 years, male, NA, stage:3, alive, 810 days 480.9
DO45261 74 years, male, NA, stage:3, alive, 990 days 480.5
DO45175 74 years, male, NA, stage:2, alive, 1140 days 477.4
DO45111 74 years, male, NA, stage:2, alive, 1590 days 475.7
DO48677 58 years, male, NA, stage:3, alive, 1140 days 472.6
DO50832 73 years, male, NA, stage:3, alive, 90 days 469.4
DO48746 76 years, male, NA, stage:3, alive, 570 days 463.4
DO48716 71 years, male, NA, stage:2, alive, 720 days 461.5
DO48760 70 years, female, NA, stage:2, alive, 690 days 460.9
DO23517 62 years, male, NA, stage:2, alive, 1200 days 455.7
DO50815 62 years, male, NA, stage:3, alive, 150 days 454.6
DO50798 77 years, male, NA, stage:3, dead, 30 days 453.3
DO50791 79 years, female, NA, stage:1, dead, 480 days 450.6
DO23551 73 years, male, NA, stage:3, dead, 150 days 448.1
DO50799 66 years, female, NA, stage:2, alive, 540 days 447.1
DO45096 69 years, male, NA, stage:2, dead, 1290 days 443.5
DO23516 69 years, male, NA, stage:3, dead, 20 days 433.4
DO50804 81 years, male, NA, stage:2, alive, 720 days 433.3
DO23544 67 years, male, NA, stage:2, alive, 960 days 432.1
DO23552 80 years, female, NA, stage:1, alive, 810 days 431.2
DO227643 79 years, male, NA, stage:2, alive, 1260 days 427.7
DO45117 73 years, female, NA, stage:2, dead, 1110 days 423.0
DO45094 76 years, male, NA, stage:3, alive, 1650 days 422.8
DO23531 78 years, female, NA, stage:3, alive, 900 days 422.2
DO45101 63 years, male, NA, stage:2, alive, 1680 days 420.9
DO45123 78 years, female, NA, stage:2, dead, 570 days 409.8
DO45193 68 years, female, NA, stage:4, dead, 120 days 398.2
DO50807 67 years, male, NA, stage:1, alive, 540 days 384.7
DO48674 80 years, male, NA, stage:2, alive, 1260 days 375.0
DO45237 58 years, male, NA, stage:2, alive, 900 days 368.4
DO23538 67 years, male, NA, stage:2, alive, 450 days 357.9
DO48727 81 years, female, NA, stage:2, dead, 390 days 348.3
DO50816 63 years, male, NA, stage:2, alive, 390 days 346.9
DO50817 75 years, male, NA, stage:2, alive, 390 days 340.2
DO45253 50 years, male, NA, stage:2, alive, 870 days 338.2
DO50844 75 years, male, NA, stage:4, alive, 300 days 336.9
DO50793 76 years, male, NA, stage:4, alive, 540 days 333.4
DO48706 72 years, male, NA, stage:2, alive, 870 days 322.5
DO50857 72 years, male, NA, stage:2, alive, 210 days 311.8
DO48721 58 years, female, NA, stage:1, alive, 900 days 311.6
DO23528 45 years, female, NA, stage:2, alive, 1020 days 311.4
DO45167 67 years, male, NA, stage:2, dead, 1440 days 310.1
DO45199 86 years, female, NA, stage:2, alive, 1350 days 308.9
DO23540 73 years, male, NA, stage:1, alive, 750 days 300.9
DO45195 62 years, male, NA, stage:1, alive, 390 days 284.0
DO45107 63 years, female, NA, stage:2, alive, 1710 days 262.8
DO23532 71 years, female, NA, stage:1, alive, 960 days 233.0
DO45125 58 years, male, NA, stage:3, alive, 1680 days 181.7
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LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples 330
Samples
Sample ID Sample type nRPX
125 Tumor 1.8
983 Tumor 1.7
943 Tumor 1.5
917 Tumor 1.5
697 Tumor 1.4
617 Tumor 1.4
573 Tumor 1.4
147 Tumor 1.3
283 Tumor 1.3
363 Tumor 1.2
385 Tumor 1.2
545 Tumor 1.2
713 Tumor 1.1
527 Tumor 1.1
745 Tumor 1.1
343 Tumor 1.0
715 Tumor 1.0
737 Tumor 0.9
421 Tumor 0.9
851 Tumor 0.9
311 Tumor 0.8
211 Tumor 0.8
817 Tumor 0.8
478 Normal 0.7
492 Normal 0.7
671 Tumor 0.6
724 Normal 0.6
257 Tumor 0.6
536 Normal 0.6
517 Tumor 0.6
355 Tumor 0.6
135 Tumor 0.6
524 Normal 0.6
223 Tumor 0.6
661 Tumor 0.6
823 Tumor 0.5
498 Normal 0.5
857 Tumor 0.5
491 Tumor 0.5
877 Tumor 0.4
494 Normal 0.4
297 Tumor 0.4
444 Normal 0.4
384 Normal 0.4
425 Tumor 0.4
916 Normal 0.4
493 Tumor 0.4
471 Tumor 0.3
395 Tumor 0.3
124 Normal 0.3
516 Normal 0.3
923 Tumor 0.3
863 Tumor 0.3
535 Tumor 0.3
447 Tumor 0.3
538 Normal 0.3
224 Normal 0.3
284 Normal 0.3
672 Normal 0.3
852 Normal 0.3
467 Tumor 0.3
497 Tumor 0.3
192 Normal 0.2
455 Tumor 0.2
868 Normal 0.2
434 Normal 0.2
331 Tumor 0.2
393 Tumor 0.2
488 Normal 0.2
816 Normal 0.2
563 Tumor 0.2
554 Normal 0.2
1043 Tumor 0.2
744 Normal 0.2
958 Normal 0.2
221 Tumor 0.2
824 Normal 0.2
966 Normal 0.2
952 Normal 0.2
567 Tumor 0.2
728 Normal 0.2
976 Normal 0.2
878 Normal 0.2
195 Tumor 0.2
1041 Tumor 0.2
145 Tumor 0.1
716 Normal 0.1
778 Normal 0.1
815 Tumor 0.1
921 Tumor 0.1
268 Normal 0.1
354 Normal 0.1
957 Tumor 0.1
413 Tumor 0.1
146 Normal 0.1
1044 Normal 0.1
142 Normal 0.1
188 Normal 0.1
698 Normal 0.1
364 Normal 0.1
277 Tumor 0.1
864 Normal 0.1
571 Tumor 0.1
514 Normal 0.1
922 Normal 0.1
212 Normal 0.1
383 Tumor 0.1
483 Tumor 0.0
572 Normal 0.0
956 Normal 0.0
686 Normal 0.0
954 Normal 0.0
463 Tumor 0.0
727 Tumor 0.0
461 Tumor 0.0
228 Normal 0.0
813 Tumor 0.0
918 Normal 0.0
862 Normal 0.0
187 Tumor 0.0
443 Tumor 0.0
415 Tumor 0.0
448 Normal 0.0
874 Normal 0.0
312 Normal 0.0
984 Normal 0.0
474 Normal 0.0
484 Normal 0.0
953 Tumor 0.0
742 Normal 0.0
1045 Tumor 0.0
131 Tumor 0.0
738 Normal 0.0
553 Tumor 0.0
938 Normal 0.0
137 Tumor 0.0
1046 Normal 0.0
814 Normal 0.0
1028 Normal -0.1
367 Tumor -0.1
546 Normal -0.1
185 Tumor -0.1
746 Normal -0.1
432 Normal -0.1
1014 Normal -0.1
351 Tumor -0.1
365 Tumor -0.1
262 Normal -0.1
227 Tumor -0.1
126 Normal -0.1
1026 Normal -0.1
1015 Tumor -0.1
975 Tumor -0.1
285 Tumor -0.1
978 Normal -0.1
272 Normal -0.1
968 Normal -0.1
558 Normal -0.1
136 Normal -0.1
663 Tumor -0.1
525 Tumor -0.1
696 Normal -0.1
433 Tumor -0.1
743 Tumor -0.1
662 Normal -0.1
1016 Normal -0.1
515 Tumor -0.1
352 Normal -0.1
924 Normal -0.1
642 Normal -0.1
213 Tumor -0.1
342 Normal -0.1
162 Normal -0.1
955 Tumor -0.1
616 Normal -0.1
881 Tumor -0.1
564 Normal -0.1
286 Normal -0.1
362 Normal -0.1
278 Normal -0.2
574 Normal -0.2
386 Normal -0.2
883 Tumor -0.2
313 Tumor -0.2
911 Tumor -0.2
1025 Tumor -0.2
387 Tumor -0.2
344 Normal -0.2
786 Normal -0.2
534 Normal -0.2
464 Normal -0.2
222 Normal -0.2
723 Tumor -0.2
138 Normal -0.2
721 Tumor -0.2
537 Tumor -0.2
1042 Normal -0.2
1022 Normal -0.2
951 Tumor -0.2
217 Tumor -0.2
777 Tumor -0.2
375 Tumor -0.2
982 Normal -0.2
452 Normal -0.2
392 Normal -0.2
388 Normal -0.2
391 Tumor -0.2
526 Normal -0.2
858 Normal -0.2
944 Normal -0.2
926 Normal -0.2
196 Normal -0.2
394 Normal -0.2
148 Normal -0.2
913 Tumor -0.3
636 Normal -0.3
528 Normal -0.3
866 Normal -0.3
328 Normal -0.3
818 Normal -0.3
422 Normal -0.3
628 Normal -0.3
664 Normal -0.3
513 Tumor -0.3
964 Normal -0.3
412 Normal -0.3
214 Normal -0.3
428 Normal -0.3
618 Normal -0.3
882 Normal -0.3
111 Normal -0.3
722 Normal -0.3
861 Tumor -0.3
191 Tumor -0.3
366 Normal -0.3
963 Tumor -0.3
258 Normal -0.3
396 Normal -0.3
357 Tumor -0.3
112 Tumor -0.3
161 Tumor -0.3
376 Normal -0.3
925 Tumor -0.3
132 Normal -0.3
666 Normal -0.3
1031 Tumor -0.3
141 Tumor -0.3
172 Normal -0.3
568 Normal -0.3
332 Normal -0.4
462 Normal -0.4
427 Tumor -0.4
456 Normal -0.4
361 Tumor -0.4
912 Normal -0.4
914 Normal -0.4
468 Normal -0.4
114 Normal -0.4
218 Normal -0.4
186 Normal -0.4
967 Tumor -0.4
873 Tumor -0.4
665 Tumor -0.4
685 Tumor -0.4
298 Normal -0.4
436 Normal -0.4
232 Normal -0.4
937 Tumor -0.4
977 Tumor -0.4
641 Tumor -0.4
648 Normal -0.4
477 Tumor -0.4
647 Tumor -0.4
368 Normal -0.5
965 Tumor -0.5
1032 Normal -0.5
128 Normal -0.5
695 Tumor -0.5
356 Normal -0.5
482 Normal -0.5
416 Normal -0.5
314 Normal -0.5
446 Normal -0.5
435 Tumor -0.5
426 Normal -0.5
424 Normal -0.5
271 Tumor -0.5
261 Tumor -0.5
518 Normal -0.5
915 Tumor -0.5
451 Tumor -0.5
785 Tumor -0.5
414 Normal -0.5
714 Normal -0.5
466 Normal -0.5
756 Normal -0.5
358 Normal -0.5
884 Normal -0.6
1021 Tumor -0.6
123 Tumor -0.6
472 Normal -0.6
1027 Tumor -0.6
411 Tumor -0.6
341 Tumor -0.7
1013 Tumor -0.7
557 Tumor -0.7
127 Tumor -0.7
353 Tumor -0.7
523 Tumor -0.7
867 Tumor -0.8
171 Tumor -0.8
615 Tumor -0.8
741 Tumor -0.8
231 Tumor -0.8
445 Tumor -0.8
865 Tumor -0.9
423 Tumor -0.9
627 Tumor -0.9
481 Tumor -0.9
533 Tumor -1.0
465 Tumor -1.0
755 Tumor -1.0
473 Tumor -1.1
431 Tumor -1.1
267 Tumor -1.1
327 Tumor -1.1
487 Tumor -1.1
113 Tumor -1.3
981 Tumor -1.4
635 Tumor -1.4
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 HPA010088

Antibody CAB026356
 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

Contact

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