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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.

AMBP is not prognostic in Liver Hepatocellular Carcinoma (TCGA)


Stage:


Survival analysis
Current cut offi

Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.

:
Best expression cut offi

Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .

When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.

: 3444.81
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 5486.1
Number of samples 362
Samples
Sample Description pTPM
TCGA-DD-AADJ-01A 70 years, female, asian, stage:Stage I, alive, 1066 days 18786.1
TCGA-DD-A3A1-01A 65 years, male, stage:Stage IIIA, dead, 233 days 16452.0
TCGA-ED-A7PY-01A 20 years, female, asian, stage:Stage II, alive, 390 days 13728.0
TCGA-ES-A2HS-01A 80 years, male, white, stage:Stage I, dead, 688 days 13463.0
TCGA-G3-AAV0-01A 58 years, male, asian, stage:Stage I, alive, 476 days 12913.9
TCGA-FV-A495-01A 51 years, female, white, stage:Stage II, alive, 1 days 12767.3
TCGA-2Y-A9H3-01A 45 years, male, white, stage:Stage II, alive, 1516 days 12458.7
TCGA-LG-A9QC-01A 48 years, male, white, stage:Stage I, alive, 425 days 12370.8
TCGA-2Y-A9H4-01A 68 years, male, black or african american, stage:Stage I, alive, 1452 days 12347.9
TCGA-DD-AAE3-01A 50 years, male, asian, stage:Stage I, alive, 566 days 11729.0
TCGA-DD-AADM-01A 58 years, male, asian, stage:Stage II, dead, 12 days 11565.5
TCGA-HP-A5N0-01A 90 years, female, stage:'--, dead, 752 days 11417.0
TCGA-G3-A3CJ-01A 52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days 11334.1
TCGA-2Y-A9HB-01A 66 years, male, stage:Stage I, alive, 260 days 11147.8
TCGA-DD-A3A5-01A 66 years, female, white, stage:Stage III, dead, 3125 days 10965.1
TCGA-QA-A7B7-01A 48 years, male, black or african american, stage:Stage II, alive, 94 days 10940.6
TCGA-RC-A6M4-01A 74 years, female, white, stage:Stage IIIA, alive, 22 days 10438.4
TCGA-DD-AADS-01A 63 years, male, asian, stage:Stage I, alive, 474 days 10403.5
TCGA-ZP-A9D1-01A 56 years, female, white, stage:'--, alive, 21 days 10387.9
TCGA-DD-AAE4-01A 49 years, female, asian, stage:Stage I, alive, 608 days 10383.6
TCGA-G3-A6UC-01A 65 years, male, white, stage:Stage IIIB, alive, 671 days 10252.2
TCGA-BC-A10Y-01A 76 years, male, white, stage:'--, dead, 711 days 10138.4
TCGA-DD-AAVS-01A 56 years, male, asian, stage:Stage I, alive, 1823 days 9971.6
TCGA-ZS-A9CE-01A 79 years, female, white, stage:Stage II, alive, 1241 days 9928.5
TCGA-ES-A2HT-01A 54 years, male, black or african american, stage:Stage I, dead, 438 days 9794.1
TCGA-CC-5259-01A 60 years, female, asian, stage:Stage IIIC, alive, 250 days 9704.6
TCGA-BD-A2L6-01A 69 years, male, white, stage:'--, alive, 1363 days 9696.6
TCGA-DD-AAE1-01A 52 years, male, asian, stage:Stage I, alive, 552 days 9677.8
TCGA-DD-AACV-01A 53 years, male, asian, stage:Stage I, alive, 1531 days 9636.5
TCGA-KR-A7K2-01A 64 years, male, white, stage:Stage I, alive, 829 days 9588.3
TCGA-DD-AACO-01A 40 years, male, asian, stage:Stage I, alive, 1876 days 9530.7
TCGA-DD-AADP-01A 45 years, male, asian, stage:Stage I, alive, 458 days 9514.8
TCGA-BC-A69I-01A 69 years, male, white, stage:Stage I, alive, 387 days 9511.4
TCGA-DD-A115-01A 53 years, male, white, stage:Stage IIIA, dead, 2542 days 9424.7
TCGA-DD-AADF-01A 64 years, female, asian, stage:Stage I, dead, 115 days 9417.6
TCGA-5R-AA1C-01A 57 years, male, white, stage:Stage II, alive, 520 days 9412.5
TCGA-BC-A8YO-01A 66 years, female, white, stage:Stage IIIC, alive, 562 days 9404.3
TCGA-MI-A75C-01A 64 years, male, white, stage:Stage I, alive, 291 days 9220.2
TCGA-DD-A118-01A 77 years, female, white, stage:Stage II, alive, 3437 days 9139.1
TCGA-2Y-A9H1-01A 58 years, male, white, stage:Stage I, dead, 1229 days 9103.6
TCGA-MI-A75E-01A 61 years, male, white, stage:Stage IIIC, alive, 507 days 8943.5
TCGA-G3-A25U-01A 63 years, female, asian, stage:Stage I, alive, 1636 days 8933.0
TCGA-DD-AACY-01A 61 years, male, asian, stage:Stage I, alive, 1450 days 8845.2
TCGA-G3-A25Y-01A 52 years, female, asian, stage:Stage I, dead, 452 days 8801.8
TCGA-ED-A7XO-01A 29 years, male, asian, stage:Stage IIIA, alive, 427 days 8726.5
TCGA-BC-A5W4-01A 69 years, male, white, stage:Stage IIIA, dead, 547 days 8701.7
TCGA-UB-A7MF-01A 56 years, male, white, stage:Stage IIIA, dead, 214 days 8684.8
TCGA-XR-A8TC-01A 43 years, female, white, stage:Stage I, alive, 1339 days 8656.7
TCGA-DD-AADI-01A 43 years, female, asian, stage:Stage I, alive, 1085 days 8622.8
TCGA-G3-A5SI-01A 44 years, male, asian, stage:Stage II, dead, 768 days 8610.7
TCGA-K7-A5RF-01A 64 years, male, white, stage:Stage I, alive, 631 days 8558.6
TCGA-DD-A73G-01A 73 years, female, white, stage:Stage I, alive, 3478 days 8550.3
TCGA-DD-AAVR-01A 44 years, male, asian, stage:Stage I, alive, 2513 days 8502.6
TCGA-DD-A4NK-01A 80 years, female, white, stage:Stage IIIA, dead, 1210 days 8496.1
TCGA-DD-AAC9-01A 51 years, male, asian, stage:Stage I, alive, 347 days 8483.8
TCGA-ED-A8O5-01A 59 years, female, asian, stage:Stage IIIA, alive, 406 days 8462.1
TCGA-DD-A3A4-01A 37 years, male, white, stage:Stage IIIA, dead, 612 days 8436.8
TCGA-DD-AACK-01A 70 years, male, asian, stage:Stage I, alive, 9 days 8381.1
TCGA-DD-AADY-01A 55 years, female, asian, stage:Stage I, alive, 555 days 8326.5
TCGA-G3-AAV2-01A 50 years, male, white, stage:Stage I, alive, 372 days 8326.0
TCGA-DD-A39Z-01A 43 years, female, stage:Stage II, dead, 601 days 8325.9
TCGA-CC-5262-01A 67 years, male, asian, stage:Stage IIIC, dead, 103 days 8298.3
TCGA-2Y-A9H7-01A 81 years, female, white, stage:Stage I, alive, 1168 days 8147.7
TCGA-MI-A75G-01A 63 years, male, white, stage:Stage II, alive, 698 days 8133.4
TCGA-G3-AAUZ-01A 48 years, male, stage:Stage I, alive, 480 days 8093.0
TCGA-DD-AADG-01A 70 years, male, asian, stage:Stage IIIA, alive, 1145 days 8074.4
TCGA-2Y-A9GY-01A 64 years, female, white, stage:Stage II, dead, 757 days 8055.6
TCGA-G3-A7M8-01A 31 years, male, asian, stage:Stage I, alive, 430 days 8020.9
TCGA-3K-AAZ8-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 396 days 8019.8
TCGA-DD-AACW-01A 43 years, male, asian, stage:Stage I, alive, 1424 days 8016.0
TCGA-G3-A5SK-01A 58 years, male, white, stage:Stage I, alive, 744 days 7918.6
TCGA-ZP-A9CV-01A 59 years, male, white, stage:'--, dead, 1088 days 7908.7
TCGA-DD-AACC-01A 61 years, male, asian, stage:Stage I, dead, 1685 days 7901.3
TCGA-EP-A26S-01A 70 years, male, white, stage:Stage I, alive, 608 days 7846.8
TCGA-DD-AAEB-01A 60 years, male, asian, stage:Stage I, alive, 478 days 7841.7
TCGA-EP-A2KB-01A 46 years, female, white, stage:Stage I, dead, 596 days 7782.5
TCGA-XR-A8TG-01A 58 years, male, white, stage:Stage I, alive, 898 days 7759.1
TCGA-DD-A39W-01A 29 years, female, white, stage:Stage III, dead, 827 days 7743.8
TCGA-DD-AACH-01A 69 years, male, asian, stage:Stage II, dead, 195 days 7716.2
TCGA-DD-A3A8-01A 75 years, male, white, stage:Stage II, dead, 11 days 7705.5
TCGA-DD-A11D-01A 57 years, female, white, stage:Stage I, dead, 1560 days 7695.6
TCGA-4R-AA8I-01A 66 years, male, white, stage:Stage II, dead, 262 days 7604.3
TCGA-DD-AACF-01A 68 years, male, asian, stage:Stage I, dead, 365 days 7589.5
TCGA-DD-AAE7-01A 72 years, male, asian, stage:Stage I, alive, 644 days 7553.2
TCGA-T1-A6J8-01A 68 years, male, white, stage:'--, alive, 23 days 7526.3
TCGA-ED-A4XI-01A 58 years, male, asian, stage:Stage II, alive, 819 days 7489.6
TCGA-DD-AAD0-01A 73 years, female, asian, stage:Stage I, alive, 137 days 7469.6
TCGA-G3-A25Z-01A 58 years, male, asian, stage:Stage I, alive, 655 days 7367.2
TCGA-ZP-A9CY-01A 66 years, female, white, stage:'--, alive, 782 days 7357.5
TCGA-RC-A7SF-01A 66 years, male, asian, stage:Stage I, alive, 579 days 7340.4
TCGA-DD-AAEE-01A 55 years, male, asian, stage:Stage I, alive, 810 days 7308.3
TCGA-DD-AAEH-01A 73 years, male, asian, stage:Stage I, alive, 784 days 7230.0
TCGA-FV-A23B-01A 70 years, female, white, stage:Stage II, dead, 1852 days 7208.2
TCGA-2Y-A9GT-01A 51 years, male, white, stage:Stage I, dead, 1624 days 7204.1
TCGA-DD-AAEI-01A 72 years, male, asian, stage:Stage I, alive, 1531 days 7173.6
TCGA-CC-A7IK-01A 59 years, male, asian, stage:Stage IIIA, dead, 262 days 7168.4
TCGA-DD-A73F-01A 77 years, female, white, stage:Stage I, alive, 1085 days 7149.3
TCGA-LG-A6GG-01A 79 years, female, white, stage:Stage II, alive, 387 days 7147.0
TCGA-DD-AAVY-01A 56 years, male, asian, stage:Stage IIIA, alive, 1970 days 7127.8
TCGA-BC-A10T-01A 76 years, male, white, stage:'--, dead, 837 days 7104.7
TCGA-RC-A7SK-01A 59 years, male, asian, stage:Stage I, alive, 472 days 7098.4
TCGA-DD-AADA-01A 66 years, female, asian, stage:Stage I, alive, 1233 days 7062.0
TCGA-WX-AA46-01A 61 years, male, white, stage:Stage II, alive, 756 days 7042.3
TCGA-DD-AAE2-01A 51 years, male, asian, stage:Stage I, alive, 638 days 6995.0
TCGA-MI-A75H-01A 77 years, male, white, stage:'--, alive, 747 days 6986.6
TCGA-DD-A73B-01A 72 years, female, white, stage:Stage I, dead, 283 days 6984.8
TCGA-FV-A2QR-01A 75 years, male, white, stage:Stage I, dead, 581 days 6949.7
TCGA-EP-A12J-01A 62 years, male, black or african american, stage:Stage I, alive, 570 days 6914.0
TCGA-DD-AACQ-01A 50 years, male, asian, stage:Stage II, dead, 432 days 6890.0
TCGA-DD-A4NV-01A 61 years, male, white, stage:Stage IIIA, alive, 2398 days 6886.8
TCGA-DD-AADD-01A 51 years, male, asian, stage:Stage I, alive, 1231 days 6844.4
TCGA-CC-A123-01A 24 years, female, asian, stage:Stage IIIA, alive, 219 days 6832.9
TCGA-BD-A3EP-01A 75 years, female, black or african american, stage:Stage I, alive, 409 days 6821.1
TCGA-KR-A7K0-01A 65 years, male, white, stage:Stage I, dead, 65 days 6815.7
TCGA-CC-A7IH-01A 58 years, male, asian, stage:Stage IIIA, alive, 365 days 6784.2
TCGA-K7-A6G5-01A 66 years, male, white, stage:Stage I, alive, 512 days 6737.5
TCGA-DD-AACZ-01A 63 years, female, asian, stage:Stage I, dead, 171 days 6726.9
TCGA-DD-AAW1-01A 55 years, male, asian, stage:Stage IIIA, alive, 1989 days 6677.2
TCGA-DD-AACG-01A 52 years, male, asian, stage:Stage II, dead, 469 days 6659.2
TCGA-FV-A2QQ-01A 80 years, male, white, stage:Stage I, alive, 729 days 6596.4
TCGA-DD-AAW2-01A 69 years, male, asian, stage:Stage I, alive, 1855 days 6572.7
TCGA-XR-A8TF-01A 74 years, male, white, stage:Stage I, dead, 693 days 6556.8
TCGA-MR-A520-01A 58 years, male, white, stage:Stage I, alive, 229 days 6548.1
TCGA-DD-AAD6-01A 66 years, male, asian, stage:Stage IIIA, alive, 672 days 6495.4
TCGA-DD-A4NO-01A 65 years, male, white, stage:Stage I, alive, 2245 days 6493.4
TCGA-BD-A3ER-01A 62 years, male, white, stage:Stage II, alive, 1115 days 6469.8
TCGA-DD-A4NL-01A 46 years, male, white, stage:Stage I, alive, 1711 days 6453.9
TCGA-DD-A3A7-01A 67 years, male, stage:Stage IIIB, dead, 419 days 6359.9
TCGA-DD-AAE6-01A 59 years, female, asian, stage:Stage I, alive, 141 days 6312.8
TCGA-EP-A2KA-01A 52 years, female, white, stage:Stage IIIA, dead, 627 days 6310.8
TCGA-UB-A7ME-01A 51 years, male, asian, stage:Stage I, alive, 486 days 6298.2
TCGA-BW-A5NO-01A 50 years, male, black or african american, stage:Stage IIIA, alive, 20 days 6284.8
TCGA-DD-A113-01A 55 years, female, white, stage:Stage II, alive, 2425 days 6275.0
TCGA-CC-A9FS-01A 55 years, male, asian, stage:Stage II, alive, 211 days 6236.2
TCGA-DD-A1EG-01A 76 years, male, white, stage:Stage I, dead, 1372 days 6215.3
TCGA-2Y-A9GX-01A 68 years, male, white, stage:Stage I, alive, 2442 days 6185.8
TCGA-UB-AA0V-01A 69 years, female, white, stage:Stage I, alive, 314 days 6171.4
TCGA-DD-A73A-01A 71 years, male, white, stage:Stage I, alive, 728 days 6161.9
TCGA-DD-AACN-01A 32 years, male, asian, stage:Stage I, alive, 1302 days 6150.2
TCGA-DD-AAVV-01A 56 years, male, asian, stage:Stage II, alive, 2455 days 6141.1
TCGA-BC-A3KF-01A 66 years, female, white, stage:Stage I, alive, 8 days 6132.4
TCGA-DD-A39Y-01A 67 years, male, asian, stage:Stage I, dead, 171 days 6106.3
TCGA-CC-A7IL-01A 61 years, male, asian, stage:Stage IIIA, dead, 278 days 6098.5
TCGA-DD-A4NF-01A 72 years, male, white, stage:Stage I, alive, 942 days 6091.7
TCGA-G3-A25V-01A 68 years, male, white, stage:Stage I, alive, 860 days 6089.6
TCGA-DD-A4ND-01A 56 years, female, white, stage:Stage I, alive, 2746 days 6081.2
TCGA-G3-A5SM-01A 58 years, male, white, stage:Stage II, alive, 520 days 6064.2
TCGA-UB-A7MD-01A 67 years, male, black or african american, stage:Stage I, dead, 52 days 6054.3
TCGA-G3-A3CG-01A 80 years, male, white, stage:Stage I, alive, 673 days 6031.7
TCGA-2Y-A9H0-01A 49 years, male, white, stage:Stage IIIA, alive, 3675 days 6010.0
TCGA-ZS-A9CF-01A 64 years, male, white, stage:Stage II, alive, 2412 days 5989.5
TCGA-DD-AADC-01A 53 years, male, asian, stage:Stage I, dead, 425 days 5987.9
TCGA-5R-AAAM-01A 65 years, female, white, stage:Stage II, dead, 46 days 5967.2
TCGA-ZS-A9CD-01A 73 years, male, white, stage:Stage II, dead, 1386 days 5955.8
TCGA-2Y-A9GZ-01A 82 years, female, white, stage:Stage II, dead, 848 days 5941.9
TCGA-2Y-A9GV-01A 54 years, female, white, stage:Stage I, dead, 2532 days 5941.1
TCGA-BC-A110-01A 51 years, female, black or african american, stage:'--, dead, 2116 days 5937.1
TCGA-G3-AAV3-01A 58 years, female, white, stage:Stage II, alive, 412 days 5922.6
TCGA-2Y-A9H9-01A 70 years, male, white, stage:Stage I, alive, 697 days 5887.2
TCGA-CC-A8HT-01A 74 years, male, asian, stage:Stage IIIA, dead, 140 days 5871.1
TCGA-DD-AACJ-01A 75 years, male, asian, stage:Stage II, alive, 2102 days 5841.2
TCGA-RC-A7S9-01A 47 years, female, asian, stage:Stage I, alive, 640 days 5825.3
TCGA-DD-A4NI-01A 67 years, male, white, stage:Stage II, alive, 816 days 5760.4
TCGA-CC-A5UC-01A 63 years, male, asian, stage:Stage IIIA, dead, 347 days 5642.1
TCGA-BC-A10X-01A 52 years, female, white, stage:Stage IIIA, dead, 770 days 5639.1
TCGA-O8-A75V-01A 54 years, male, stage:Stage I, alive, 538 days 5617.5
TCGA-G3-A3CI-01A 71 years, male, white, stage:Stage I, alive, 180 days 5558.9
TCGA-DD-AADU-01A 60 years, male, asian, stage:Stage II, alive, 554 days 5548.9
TCGA-DD-AAEG-01A 59 years, female, asian, stage:Stage I, alive, 719 days 5538.1
TCGA-BC-A217-01A 75 years, female, white, stage:Stage II, dead, 1397 days 5520.5
TCGA-WQ-AB4B-01A 62 years, male, white, stage:Stage II, alive, 395 days 5439.3
TCGA-G3-A3CH-01A 53 years, male, asian, stage:Stage IIIA, alive, 780 days 5412.9
TCGA-G3-A25S-01A 64 years, male, white, stage:Stage I, dead, 416 days 5370.7
TCGA-G3-A7M7-01A 65 years, male, white, stage:Stage I, alive, 361 days 5369.6
TCGA-ZP-A9D4-01A 64 years, female, white, stage:'--, alive, 395 days 5366.0
TCGA-2Y-A9H6-01A 68 years, female, white, stage:Stage I, alive, 357 days 5284.4
TCGA-FV-A496-01A 84 years, female, white, stage:Stage I, alive, 10 days 5267.4
TCGA-DD-AAD2-01A 66 years, male, asian, stage:Stage I, alive, 658 days 5254.7
TCGA-WX-AA44-01A 64 years, female, white, stage:Stage I, alive, 615 days 5184.2
TCGA-KR-A7K8-01A 57 years, male, stage:Stage I, alive, 906 days 5178.3
TCGA-G3-A7M5-01A 76 years, male, asian, stage:Stage I, alive, 447 days 5168.1
TCGA-DD-AADB-01A 51 years, male, asian, stage:Stage I, alive, 1242 days 5099.7
TCGA-G3-A5SL-01A 70 years, male, white, stage:Stage II, alive, 621 days 5089.9
TCGA-2Y-A9H8-01A 85 years, female, white, stage:'--, dead, 633 days 5084.2
TCGA-DD-AADV-01A 50 years, male, asian, stage:Stage I, alive, 574 days 5081.6
TCGA-DD-A3A9-01A 64 years, female, white, stage:Stage IVB, dead, 931 days 5077.7
TCGA-DD-AADN-01A 59 years, male, asian, stage:Stage I, alive, 898 days 5071.4
TCGA-BC-A10S-01A 81 years, male, white, stage:'--, dead, 1423 days 5038.8
TCGA-DD-AADO-01A 55 years, male, asian, stage:Stage I, alive, 453 days 4990.7
TCGA-DD-AAW3-01A 69 years, male, asian, stage:Stage I, alive, 1633 days 4973.5
TCGA-EP-A2KC-01A 62 years, male, black or african american, stage:Stage I, dead, 19 days 4946.2
TCGA-CC-A3MC-01A 54 years, male, asian, stage:Stage IIIA, alive, 363 days 4861.2
TCGA-DD-AADR-01A 58 years, male, asian, stage:Stage I, alive, 2028 days 4841.9
TCGA-DD-AACU-01A 59 years, male, asian, stage:Stage I, alive, 1567 days 4831.6
TCGA-DD-A73D-01A 68 years, female, white, stage:Stage II, alive, 693 days 4816.5
TCGA-DD-A1EI-01A 46 years, male, asian, stage:Stage I, alive, 183 days 4808.6
TCGA-FV-A3I1-01A 81 years, female, white, stage:Stage II, dead, 247 days 4803.4
TCGA-BC-A10W-01A 50 years, male, asian, stage:'--, dead, 91 days 4798.7
TCGA-CC-A7IF-01A 59 years, male, asian, stage:Stage IIIA, dead, 649 days 4744.5
TCGA-DD-A4NS-01A 61 years, female, white, stage:Stage I, dead, 2456 days 4697.9
TCGA-ZS-A9CG-01A 55 years, male, white, stage:Stage II, alive, 341 days 4677.8
TCGA-DD-A119-01A 40 years, male, asian, stage:Stage IV, dead, 223 days 4646.6
TCGA-G3-AAV5-01A 67 years, male, white, stage:Stage II, alive, 354 days 4625.8
TCGA-ED-A627-01A 74 years, male, white, stage:Stage I, alive, 423 days 4612.2
TCGA-EP-A3JL-01A 76 years, male, white, stage:Stage I, alive, 303 days 4589.7
TCGA-ED-A8O6-01A 50 years, female, asian, stage:Stage IIIA, dead, 56 days 4586.4
TCGA-DD-A1EJ-01A 71 years, female, white, stage:Stage IIIC, dead, 1005 days 4557.8
TCGA-HP-A5MZ-01A 78 years, male, stage:Stage I, dead, 91 days 4548.0
TCGA-DD-AAVP-01A 48 years, male, asian, stage:Stage I, alive, 2752 days 4541.5
TCGA-DD-A1EE-01A 73 years, male, white, stage:Stage IIIA, dead, 349 days 4491.0
TCGA-DD-A73E-01A 66 years, male, white, stage:Stage I, alive, 44 days 4482.8
TCGA-2Y-A9GW-01A 64 years, male, white, stage:Stage I, dead, 1271 days 4477.7
TCGA-DD-A4NR-01A 85 years, female, white, stage:Stage I, dead, 9 days 4439.3
TCGA-DD-A11C-01A 69 years, male, white, stage:Stage I, alive, 662 days 4426.6
TCGA-2Y-A9H5-01A 59 years, female, white, stage:Stage I, dead, 555 days 4412.5
TCGA-G3-A3CK-01A 61 years, male, asian, stage:Stage I, alive, 585 days 4398.0
TCGA-DD-AACS-01A 39 years, male, asian, stage:Stage I, alive, 1804 days 4376.1
TCGA-DD-A11B-01A 73 years, male, white, stage:Stage I, dead, 14 days 4365.4
TCGA-BC-A10Z-01A 62 years, female, white, stage:Stage I, dead, 34 days 4357.2
TCGA-NI-A8LF-01A 74 years, male, white, stage:Stage I, alive, 799 days 4331.0
TCGA-DD-AAD3-01A 43 years, male, asian, stage:Stage I, alive, 1295 days 4321.9
TCGA-DD-AADQ-01A 59 years, male, asian, stage:Stage II, alive, 436 days 4315.8
TCGA-MI-A75I-01A 61 years, male, black or african american, stage:'--, alive, 630 days 4283.0
TCGA-DD-A39X-01A 78 years, female, white, stage:Stage I, dead, 1694 days 4257.3
TCGA-2Y-A9GU-01A 55 years, female, white, stage:Stage I, alive, 1939 days 4251.8
TCGA-DD-A3A3-01A 45 years, male, asian, stage:Stage I, dead, 535 days 4249.5
TCGA-ED-A66Y-01A 51 years, female, asian, stage:Stage IIIA, dead, 296 days 4242.1
TCGA-UB-A7MA-01A 62 years, female, white, stage:Stage II, alive, 848 days 4222.0
TCGA-K7-A5RG-01A 66 years, male, black or african american, stage:Stage I, alive, 519 days 4216.4
TCGA-GJ-A6C0-01A 75 years, female, white, stage:Stage II, dead, 31 days 4189.0
TCGA-DD-A1EL-01A 23 years, male, black or african american, stage:Stage II, dead, 415 days 4184.8
TCGA-KR-A7K7-01A 61 years, female, white, stage:Stage II, alive, 951 days 4165.4
TCGA-XR-A8TE-01A 16 years, male, white, stage:Stage IIIA, alive, 925 days 4080.6
TCGA-DD-A1EB-01A 72 years, female, stage:Stage I, alive, 2017 days 4076.9
TCGA-BC-A69H-01A 64 years, male, white, stage:Stage II, alive, 444 days 4062.9
TCGA-DD-AADL-01A 58 years, male, asian, stage:Stage I, alive, 636 days 3994.4
TCGA-DD-AAVZ-01A 38 years, male, asian, stage:Stage I, alive, 1900 days 3985.0
TCGA-DD-AACL-01A 66 years, female, asian, stage:Stage I, dead, 107 days 3972.9
TCGA-5C-A9VH-01A 70 years, male, white, stage:Stage I, alive, 322 days 3952.3
TCGA-ZP-A9D0-01A 67 years, female, black or african american, stage:'--, alive, 1091 days 3935.6
TCGA-CC-A3MB-01A 36 years, male, asian, stage:Stage IIIA, dead, 315 days 3932.2
TCGA-BC-A3KG-01A 68 years, female, white, stage:Stage II, alive, 680 days 3931.7
TCGA-DD-A1EA-01A 68 years, male, asian, stage:Stage II, alive, 2415 days 3931.3
TCGA-DD-AACB-01A 74 years, female, asian, stage:Stage I, alive, 2324 days 3928.3
TCGA-BC-A216-01A 62 years, female, white, stage:Stage IIIA, alive, 1351 days 3918.4
TCGA-DD-AADW-01A 48 years, male, asian, stage:Stage I, alive, 587 days 3907.4
TCGA-ZP-A9CZ-01A 72 years, male, asian, stage:'--, alive, 706 days 3882.9
TCGA-DD-AAD1-01A 51 years, female, asian, stage:Stage I, alive, 564 days 3874.0
TCGA-DD-A1EH-01A 23 years, male, white, stage:Stage III, alive, 1495 days 3862.3
TCGA-DD-AAD8-01A 73 years, female, asian, stage:Stage I, alive, 1219 days 3847.7
TCGA-DD-A4NB-01A 25 years, male, white, stage:Stage I, alive, 989 days 3847.3
TCGA-CC-5264-01A 71 years, male, asian, stage:Stage IIIA, dead, 102 days 3820.0
TCGA-CC-A7IG-01A 47 years, male, asian, stage:Stage II, dead, 299 days 3811.7
TCGA-DD-A1ED-01A 68 years, male, white, stage:Stage I, alive, 2301 days 3811.6
TCGA-CC-A5UE-01A 48 years, male, asian, stage:Stage IIIB, dead, 272 days 3780.1
TCGA-G3-AAV6-01A 53 years, female, white, stage:Stage IIIA, dead, 65 days 3773.3
TCGA-DD-A1EF-01A 57 years, female, white, stage:Stage I, dead, 394 days 3695.5
TCGA-DD-AAVX-01A 38 years, male, asian, stage:Stage II, alive, 1718 days 3695.4
TCGA-G3-A5SJ-01A 59 years, male, white, stage:Stage I, alive, 698 days 3683.9
TCGA-LG-A9QD-01A 68 years, male, white, stage:Stage IIIA, alive, 366 days 3673.4
TCGA-DD-AAVW-01A 35 years, male, asian, stage:Stage I, alive, 2317 days 3661.8
TCGA-DD-AAVQ-01A 38 years, male, asian, stage:Stage I, alive, 2728 days 3653.1
TCGA-DD-A3A2-01A 76 years, female, white, stage:Stage I, dead, 2131 days 3628.1
TCGA-GJ-A9DB-01A 68 years, male, white, stage:Stage I, dead, 67 days 3623.6
TCGA-DD-AAEK-01A 51 years, male, asian, stage:Stage II, alive, 1067 days 3619.5
TCGA-FV-A3R3-01A 38 years, female, white, stage:Stage I, dead, 366 days 3617.2
TCGA-DD-AACE-01A 62 years, male, asian, stage:Stage I, alive, 2184 days 3583.6
TCGA-2Y-A9HA-01A 70 years, male, white, stage:Stage II, dead, 36 days 3575.4
TCGA-DD-A39V-01A 77 years, male, white, stage:Stage II, dead, 643 days 3560.3
TCGA-DD-AAW0-01A 54 years, male, asian, stage:Stage I, alive, 2015 days 3558.2
TCGA-CC-A8HS-01A 18 years, male, asian, stage:Stage IIIC, dead, 300 days 3553.4
TCGA-DD-A4NP-01A 32 years, male, white, stage:Stage I, alive, 3308 days 3551.8
TCGA-G3-A25X-01A 73 years, male, asian, stage:Stage II, alive, 1779 days 3521.2
TCGA-G3-AAV1-01A 51 years, male, asian, stage:Stage IIIC, dead, 359 days 3506.8
TCGA-DD-AAVU-01A 46 years, male, asian, stage:Stage II, alive, 2202 days 3478.6
TCGA-DD-A4NH-01A 65 years, female, white, stage:Stage IIIB, alive, 917 days 3469.1
TCGA-DD-AACI-01A 69 years, male, asian, stage:Stage II, alive, 1618 days 3448.8
TCGA-G3-AAV4-01A 83 years, female, white, stage:Stage I, dead, 27 days 3440.8
TCGA-CC-5263-01A 35 years, male, asian, stage:Stage IIIA, dead, 129 days 3413.3
TCGA-RC-A6M5-01A 20 years, female, white, stage:Stage IVA, alive, 15 days 3408.4
TCGA-DD-A4NQ-01A 60 years, male, white, stage:Stage II, dead, 373 days 3381.5
TCGA-CC-A7IE-01A 57 years, male, asian, stage:Stage IIIA, dead, 217 days 3313.7
TCGA-FV-A3R2-01A 75 years, male, white, stage:Stage I, dead, 194 days 3297.0
TCGA-BC-A10R-01A 66 years, female, white, stage:'--, dead, 308 days 3296.8
TCGA-5C-AAPD-01A 61 years, male, asian, stage:Stage II, alive, 20 days 3284.7
TCGA-ED-A66X-01A 35 years, male, asian, stage:Stage IIIA, alive, 406 days 3230.2
TCGA-UB-A7MC-01A 59 years, male, white, stage:Stage IIIA, alive, 500 days 3214.6
TCGA-CC-A9FW-01A 68 years, male, asian, stage:Stage IIIA, alive, 248 days 3203.1
TCGA-DD-AACT-01A 69 years, female, asian, stage:Stage I, alive, 1562 days 3188.3
TCGA-DD-A116-01A 68 years, male, asian, stage:Stage IIIA, dead, 1622 days 3157.1
TCGA-DD-AACX-01A 66 years, male, asian, stage:Stage II, alive, 170 days 3148.4
TCGA-FV-A4ZQ-01A 52 years, male, white, stage:Stage I, alive, 12 days 3004.8
TCGA-RG-A7D4-01A 69 years, male, black or african american, stage:Stage II, alive, 1098 days 2933.0
TCGA-GJ-A3OU-01A 59 years, male, white, stage:Stage I, alive, 879 days 2927.8
TCGA-BC-A10U-01A 69 years, male, white, stage:'--, dead, 837 days 2888.2
TCGA-DD-AAD5-01A 54 years, male, asian, stage:Stage I, alive, 1345 days 2798.2
TCGA-5C-A9VG-01A 58 years, male, white, stage:Stage II, alive, 328 days 2792.8
TCGA-CC-A8HU-01A 39 years, female, asian, stage:Stage IIIA, dead, 344 days 2771.0
TCGA-PD-A5DF-01A 58 years, female, white, stage:Stage IIIB, dead, 639 days 2748.9
TCGA-DD-AAE9-01A 69 years, male, asian, stage:Stage I, alive, 722 days 2729.2
TCGA-DD-AACA-01A 65 years, male, asian, stage:Stage I, alive, 2301 days 2714.0
TCGA-WJ-A86L-01A 68 years, female, white, stage:Stage I, alive, 345 days 2709.8
TCGA-CC-A7II-01A 54 years, male, asian, stage:Stage IIIA, alive, 399 days 2655.4
TCGA-UB-AA0U-01A 60 years, male, white, stage:Stage II, alive, 327 days 2647.7
TCGA-CC-5258-01A 48 years, male, asian, stage:Stage II, dead, 129 days 2537.5
TCGA-ED-A7PZ-01A 61 years, male, asian, stage:Stage II, alive, 6 days 2505.4
TCGA-DD-AACP-01A 64 years, male, asian, stage:Stage I, alive, 415 days 2489.7
TCGA-CC-5261-01A 44 years, male, asian, stage:Stage II, dead, 97 days 2401.9
TCGA-ED-A7XP-01A 53 years, female, asian, stage:Stage II, alive, 400 days 2336.7
TCGA-FV-A4ZP-01A 78 years, male, white, stage:Stage IIIA, dead, 2486 days 2265.7
TCGA-CC-A8HV-01A 51 years, female, asian, stage:Stage II, dead, 279 days 2262.0
TCGA-DD-AAEA-01A 65 years, male, asian, stage:Stage I, alive, 575 days 2239.4
TCGA-RC-A7SB-01A 53 years, male, asian, stage:Stage II, alive, 588 days 2210.2
TCGA-XR-A8TD-01A 49 years, female, white, stage:Stage IIIB, alive, 1030 days 2197.7
TCGA-DD-AAE0-01A 45 years, female, asian, stage:Stage IIIA, alive, 555 days 2182.9
TCGA-NI-A4U2-01A 71 years, male, white, stage:Stage IIIA, dead, 1791 days 2160.4
TCGA-G3-A7M6-01A 60 years, female, white, stage:Stage I, alive, 632 days 2144.1
TCGA-WX-AA47-01A 33 years, female, white, stage:Stage IIIA, dead, 556 days 2105.7
TCGA-DD-AACD-01A 48 years, male, asian, stage:Stage I, dead, 381 days 2104.2
TCGA-BC-A112-01A 80 years, male, white, stage:'--, dead, 153 days 2085.7
TCGA-G3-AAV7-01A 38 years, male, asian, stage:Stage II, alive, 361 days 2027.6
TCGA-DD-AADK-01A 68 years, female, asian, stage:Stage II, alive, 1049 days 1992.6
TCGA-RC-A6M6-01A 75 years, male, white, stage:Stage II, alive, 9 days 1951.0
TCGA-5R-AA1D-01A 17 years, female, white, stage:Stage IIIA, alive, 449 days 1933.4
TCGA-DD-A1EK-01A 64 years, female, white, stage:Stage IVB, dead, 558 days 1932.2
TCGA-DD-A4NG-01A 77 years, male, white, stage:Stage IIIA, dead, 802 days 1918.7
TCGA-UB-A7MB-01A 24 years, male, white, stage:Stage II, alive, 601 days 1889.9
TCGA-DD-A73C-01A 65 years, female, white, stage:Stage IIIA, alive, 701 days 1843.9
TCGA-DD-A4NN-01A 56 years, female, white, stage:Stage I, dead, 899 days 1817.4
TCGA-K7-AAU7-01A 61 years, male, white, stage:Stage II, alive, 359 days 1743.0
TCGA-DD-A114-01A 42 years, male, black or african american, stage:Stage II, dead, 1149 days 1741.6
TCGA-G3-A25T-01A 45 years, female, white, stage:Stage IIIA, alive, 1553 days 1736.9
TCGA-RC-A7SH-01A 42 years, male, asian, stage:Stage II, alive, 468 days 1720.1
TCGA-G3-A7M9-01A 70 years, male, white, stage:Stage IIIB, dead, 56 days 1684.5
TCGA-DD-A4NE-01A 75 years, female, white, stage:Stage IIIA, dead, 660 days 1668.8
TCGA-ED-A5KG-01A 60 years, female, asian, stage:Stage II, alive, 854 days 1529.1
TCGA-MR-A8JO-01A 34 years, male, white, stage:Stage I, alive, 330 days 1484.8
TCGA-EP-A3RK-01A 73 years, male, white, stage:Stage IIIA, alive, 363 days 1477.3
TCGA-ZP-A9D2-01A 51 years, male, white, stage:'--, dead, 765 days 1403.6
TCGA-DD-A4NJ-01A 54 years, female, white, stage:Stage II, alive, 928 days 1382.3
TCGA-DD-AAED-01A 51 years, male, asian, stage:Stage I, alive, 763 days 1370.3
TCGA-ED-A97K-01A 54 years, male, asian, stage:Stage IIIA, alive, 6 days 1321.0
TCGA-DD-A4NA-01A 67 years, female, white, stage:Stage IIIC, alive, 1008 days 1279.7
TCGA-ED-A459-01A 47 years, male, asian, stage:Stage II, alive, 910 days 1263.3
TCGA-ED-A7PX-01A 48 years, female, asian, stage:Stage II, alive, 6 days 1171.6
TCGA-2Y-A9H2-01A 64 years, female, white, stage:Stage I, alive, 1731 days 1007.0
TCGA-YA-A8S7-01A 68 years, male, white, stage:Stage IIIA, dead, 412 days 963.4
TCGA-WQ-A9G7-01A 71 years, female, white, stage:'--, alive, 30 days 879.2
TCGA-ED-A82E-01A 60 years, female, asian, stage:Stage IIIA, alive, 408 days 696.9
TCGA-DD-AAC8-01A 72 years, male, asian, stage:Stage I, dead, 16 days 661.1
TCGA-CC-A3MA-01A 61 years, male, asian, stage:Stage IIIA, dead, 303 days 599.6
TCGA-CC-A5UD-01A 45 years, male, asian, stage:Stage IIIA, dead, 304 days 586.5
TCGA-CC-A1HT-01A 50 years, male, asian, stage:Stage IIIA, dead, 101 days 535.0
TCGA-FV-A3I0-01A 76 years, female, white, stage:Stage II, alive, 848 days 452.7
TCGA-DD-A1EC-01A 20 years, female, white, stage:Stage I, alive, 602 days 314.8
TCGA-DD-AA3A-01A 81 years, female, white, stage:Stage I, dead, 410 days 274.5
TCGA-CC-A7IJ-01A 56 years, male, asian, stage:Stage II, alive, 382 days 139.2
TCGA-2Y-A9GS-01A 58 years, male, white, stage:'--, dead, 724 days 51.9
TCGA-CC-5260-01A 61 years, female, asian, stage:Stage IIIC, dead, 87 days 11.4
TCGA-BC-A10Q-01A 72 years, female, white, stage:'--, dead, 1135 days 10.7
TCGA-DD-A3A6-01A 72 years, female, white, stage:Stage II, dead, 3258 days 9.1
TCGA-CC-A3M9-01A 45 years, male, asian, stage:Stage IIIA, dead, 300 days 1.2
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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.

AMBP 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.

: 2960.17
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 5554.5
Number of samples 231
Samples
Sample Description pTPM
DO50789 73 years, female, NA, stage:2, alive, 570 days 16479.6
DO45265 73 years, male, NA, stage:3, alive, 1020 days 15060.0
DO45096 69 years, male, NA, stage:2, dead, 1290 days 14728.7
DO48721 58 years, female, NA, stage:1, alive, 900 days 13935.0
DO50840 49 years, male, NA, stage:2, alive, 330 days 13010.3
DO48706 72 years, male, NA, stage:2, alive, 870 days 12750.5
DO23552 80 years, female, NA, stage:1, alive, 810 days 12564.8
DO48681 57 years, male, NA, stage:2, alive, 900 days 12541.5
DO50818 65 years, male, NA, stage:2, alive, 510 days 12537.2
DO23509 60 years, male, NA, stage:3, dead, 780 days 11571.8
DO23525 71 years, male, NA, stage:4, alive, 1050 days 11546.7
DO48715 58 years, female, NA, stage:2, dead, 690 days 11426.3
DO45227 57 years, female, NA, stage:2, alive, 1020 days 11406.8
DO50807 67 years, male, NA, stage:1, alive, 540 days 11310.1
DO48742 76 years, male, NA, stage:2, alive, 600 days 11177.7
DO45115 81 years, male, NA, stage:2, alive, 840 days 11054.3
DO23538 67 years, male, NA, stage:2, alive, 450 days 11005.9
DO48760 70 years, female, NA, stage:2, alive, 690 days 10843.2
DO48674 80 years, male, NA, stage:2, alive, 1260 days 10730.4
DO50839 47 years, female, NA, stage:3, alive, 330 days 10488.9
DO45183 72 years, female, NA, stage:2, dead, 570 days 10340.5
DO45099 46 years, male, NA, stage:3, alive, 1590 days 10311.6
DO45094 76 years, male, NA, stage:3, alive, 1650 days 10270.3
DO45129 61 years, male, NA, stage:3, alive, 1470 days 10223.0
DO48693 71 years, male, NA, stage:2, alive, 900 days 10211.1
DO50804 81 years, male, NA, stage:2, alive, 720 days 10183.3
DO48736 76 years, female, NA, stage:1, alive, 600 days 10050.3
DO23517 62 years, male, NA, stage:2, alive, 1200 days 10001.4
DO45255 81 years, male, NA, stage:3, alive, 720 days 9977.1
DO48725 66 years, male, NA, stage:1, alive, 780 days 9972.4
DO23550 69 years, male, NA, stage:1, alive, 990 days 9810.6
DO45137 38 years, male, NA, stage:1, alive, 1320 days 9794.5
DO48682 72 years, female, NA, stage:3, dead, 120 days 9731.2
DO23527 72 years, male, NA, stage:1, alive, 1050 days 9170.0
DO227643 79 years, male, NA, stage:2, alive, 1260 days 9147.9
DO45097 69 years, male, NA, stage:3, alive, 1620 days 9141.0
DO50859 77 years, male, NA, stage:2, alive, 180 days 9100.1
DO50844 75 years, male, NA, stage:4, alive, 300 days 8995.8
DO48761 55 years, male, NA, stage:2, alive, 870 days 8978.0
DO50857 72 years, male, NA, stage:2, alive, 210 days 8837.8
DO48677 58 years, male, NA, stage:3, alive, 1140 days 8710.4
DO50820 77 years, female, NA, stage:3, alive, 510 days 8430.6
DO45109 63 years, male, NA, stage:2, alive, 1590 days 8398.6
DO45123 78 years, female, NA, stage:2, dead, 570 days 8376.6
DO23508 79 years, female, NA, stage:2, alive, 390 days 8325.8
DO45261 74 years, male, NA, stage:3, alive, 990 days 8198.7
DO50808 68 years, male, NA, stage:2, alive, 570 days 8090.3
DO50783 62 years, male, NA, stage:3, alive, 480 days 8062.9
DO23534 60 years, male, NA, stage:2, alive, 840 days 8048.0
DO23539 77 years, male, NA, stage:1, alive, 1110 days 7975.4
DO45257 46 years, male, NA, stage:3, alive, 810 days 7904.7
DO45213 58 years, male, NA, stage:1, alive, 1200 days 7799.8
DO45133 64 years, male, NA, stage:3, dead, 660 days 7644.1
DO45197 51 years, male, NA, stage:2, alive, 1170 days 7642.5
DO45143 69 years, male, NA, stage:3, alive, 1290 days 7634.3
DO45167 67 years, male, NA, stage:2, dead, 1440 days 7613.6
DO45235 68 years, female, NA, stage:1, alive, 900 days 7510.2
DO50787 63 years, male, NA, stage:3, alive, 480 days 7470.1
DO45195 62 years, male, NA, stage:1, alive, 390 days 7431.5
DO45159 65 years, male, NA, stage:3, alive, 1470 days 7376.1
DO45173 63 years, male, NA, stage:3, alive, 1170 days 7278.1
DO45215 65 years, male, NA, stage:2, alive, 1170 days 7225.1
DO48719 80 years, male, NA, stage:2, alive, 690 days 7190.6
DO23536 56 years, male, NA, stage:2, alive, 930 days 7187.6
DO45149 70 years, female, NA, stage:2, alive, 1260 days 7075.6
DO48751 68 years, male, NA, stage:2, dead, 480 days 7063.4
DO50813 56 years, male, NA, stage:2, alive, 420 days 7010.1
DO45199 86 years, female, NA, stage:2, alive, 1350 days 6990.1
DO45177 81 years, female, NA, stage:3, alive, 1260 days 6989.6
DO45191 61 years, female, NA, stage:2, alive, 1200 days 6981.2
DO45187 32 years, female, NA, stage:1, alive, 1260 days 6976.3
DO45193 68 years, female, NA, stage:4, dead, 120 days 6965.1
DO45181 84 years, female, NA, stage:2, alive, 1200 days 6895.8
DO50816 63 years, male, NA, stage:2, alive, 390 days 6883.4
DO50832 73 years, male, NA, stage:3, alive, 90 days 6863.4
DO23511 83 years, female, NA, stage:3, dead, 180 days 6821.5
DO45247 31 years, female, NA, stage:2, alive, 210 days 6710.0
DO45233 83 years, male, NA, stage:3, alive, 900 days 6698.3
DO45253 50 years, male, NA, stage:2, alive, 870 days 6697.3
DO23545 67 years, male, NA, stage:2, dead, 570 days 6663.8
DO48701 78 years, male, NA, stage:2, alive, 780 days 6647.6
DO23533 61 years, male, NA, stage:2, alive, 900 days 6598.5
DO23531 78 years, female, NA, stage:3, alive, 900 days 6550.5
DO23518 67 years, male, NA, stage:2, alive, 1320 days 6529.7
DO23544 67 years, male, NA, stage:2, alive, 960 days 6520.9
DO48743 69 years, female, NA, stage:2, alive, 570 days 6512.1
DO48757 68 years, female, NA, stage:3, alive, 480 days 6505.6
DO48741 64 years, male, NA, stage:3, alive, 240 days 6481.4
DO45207 68 years, male, NA, stage:1, alive, 1050 days 6416.9
DO50793 76 years, male, NA, stage:4, alive, 540 days 6410.7
DO48695 77 years, male, NA, stage:2, alive, 720 days 6392.0
DO227801 77 years, female, NA, stage:1, alive, 660 days 6361.1
DO45111 74 years, male, NA, stage:2, alive, 1590 days 6354.4
DO48759 73 years, male, NA, stage:3, alive, 720 days 6302.6
DO50799 66 years, female, NA, stage:2, alive, 540 days 6295.7
DO23515 71 years, male, NA, stage:2, alive, 1230 days 6282.9
DO45171 56 years, male, NA, stage:3, alive, 600 days 6281.6
DO50802 49 years, male, NA, stage:2, alive, 930 days 6248.1
DO50774 68 years, female, NA, stage:2, alive, 720 days 6207.9
DO50785 37 years, male, NA, stage:4, dead, 90 days 6180.1
DO50822 66 years, male, NA, stage:2, alive, 510 days 6166.1
DO45163 76 years, male, NA, stage:2, alive, 960 days 6138.1
DO45117 73 years, female, NA, stage:2, dead, 1110 days 6111.0
DO45101 63 years, male, NA, stage:2, alive, 1680 days 6068.7
DO50811 62 years, male, NA, stage:1, alive, 450 days 5813.2
DO45281 83 years, male, NA, stage:4, alive, 750 days 5772.2
DO45243 74 years, female, NA, stage:3, alive, 930 days 5761.9
DO45179 78 years, female, NA, stage:2, alive, 600 days 5740.2
DO45095 66 years, male, NA, stage:2, alive, 1620 days 5709.8
DO23529 72 years, male, NA, stage:4, alive, 930 days 5623.0
DO23516 69 years, male, NA, stage:3, dead, 20 days 5591.0
DO45237 58 years, male, NA, stage:2, alive, 900 days 5585.1
DO50855 47 years, male, NA, stage:2, alive, 570 days 5550.3
DO50814 83 years, male, NA, stage:3, alive, 420 days 5514.6
DO50850 74 years, male, NA, stage:3, alive, 720 days 5439.0
DO50845 72 years, male, NA, stage:3, alive, 210 days 5433.2
DO50798 77 years, male, NA, stage:3, dead, 30 days 5368.4
DO45175 74 years, male, NA, stage:2, alive, 1140 days 5269.0
DO45201 49 years, male, NA, stage:1, alive, 900 days 5235.1
DO48746 76 years, male, NA, stage:3, alive, 570 days 5091.2
DO45269 59 years, male, NA, stage:3, alive, 750 days 5084.1
DO45091 56 years, male, NA, stage:2, dead, 1320 days 5007.2
DO45113 58 years, male, NA, stage:3, alive, 1560 days 5005.3
DO50805 72 years, male, NA, stage:2, alive, 690 days 4986.9
DO50791 79 years, female, NA, stage:1, dead, 480 days 4940.1
DO45093 71 years, male, NA, stage:2, dead, 720 days 4762.9
DO45107 63 years, female, NA, stage:2, alive, 1710 days 4761.4
DO23524 71 years, female, NA, stage:2, alive, 1050 days 4754.4
DO50819 72 years, female, NA, stage:2, alive, 510 days 4745.2
DO23551 73 years, male, NA, stage:3, dead, 150 days 4735.1
DO45239 42 years, male, NA, stage:2, alive, 870 days 4711.5
DO48723 73 years, male, NA, stage:1, alive, 600 days 4695.0
DO23548 78 years, female, NA, stage:1, alive, 840 days 4686.7
DO45165 75 years, male, NA, stage:2, alive, 690 days 4685.7
DO48704 68 years, female, NA, stage:3, alive, 750 days 4679.9
DO50825 70 years, male, NA, stage:2, alive, 390 days 4663.4
DO45225 69 years, male, NA, stage:1, alive, 1050 days 4604.5
DO45221 75 years, female, NA, stage:4, dead, 390 days 4443.9
DO23537 79 years, male, NA, stage:2, dead, 900 days 4387.5
DO48700 78 years, female, NA, stage:2, alive, 810 days 4309.5
DO23541 65 years, male, NA, stage:2, alive, 930 days 4301.8
DO48727 81 years, female, NA, stage:2, dead, 390 days 4214.5
DO45135 77 years, male, NA, stage:1, alive, 1410 days 4169.5
DO23540 73 years, male, NA, stage:1, alive, 750 days 4121.2
DO50803 62 years, female, NA, stage:1, alive, 540 days 4116.6
DO45092 62 years, male, NA, stage:4, dead, 1200 days 4088.7
DO48730 73 years, female, NA, stage:2, alive, 630 days 4031.3
DO23510 80 years, female, NA, stage:2, alive, 870 days 4004.0
DO45157 62 years, male, NA, stage:2, alive, 1980 days 3985.7
DO45203 71 years, female, NA, stage:2, alive, 1170 days 3981.0
DO50800 74 years, male, NA, stage:2, alive, 510 days 3967.9
DO23521 63 years, male, NA, stage:3, alive, 1110 days 3966.4
DO48717 54 years, male, NA, stage:4, dead, 180 days 3950.6
DO48733 72 years, male, NA, stage:2, alive, 600 days 3921.5
DO48672 81 years, male, NA, stage:2, alive, 450 days 3840.5
DO45229 74 years, male, NA, stage:1, alive, 990 days 3806.1
DO45153 77 years, female, NA, stage:2, alive, 1380 days 3709.4
DO45241 49 years, male, NA, stage:1, alive, 1080 days 3584.9
DO48728 74 years, female, NA, stage:2, alive, 150 days 3557.2
DO48716 71 years, male, NA, stage:2, alive, 720 days 3524.0
DO23549 74 years, male, NA, stage:3, alive, 990 days 3503.8
DO50776 75 years, male, NA, stage:1, alive, 690 days 3437.6
DO23528 45 years, female, NA, stage:2, alive, 1020 days 3399.0
DO23514 64 years, male, NA, stage:2, alive, 1290 days 3373.8
DO23512 60 years, male, NA, stage:1, alive, 1260 days 3357.8
DO23535 67 years, male, NA, stage:1, alive, 960 days 3313.2
DO23513 76 years, male, NA, stage:3, alive, 1200 days 3293.7
DO45219 78 years, male, NA, stage:2, alive, 1080 days 3293.2
DO50809 56 years, male, NA, stage:3, dead, 720 days 3235.5
DO45141 73 years, male, NA, stage:2, alive, 1320 days 3226.8
DO45267 73 years, male, NA, stage:3, dead, 570 days 3191.4
DO23546 63 years, male, NA, stage:2, alive, 1050 days 3186.9
DO45103 47 years, male, NA, stage:3, alive, 450 days 3133.8
DO50817 75 years, male, NA, stage:2, alive, 390 days 3095.7
DO23532 71 years, female, NA, stage:1, alive, 960 days 3067.1
DO45223 67 years, male, NA, stage:4, alive, 1020 days 3067.0
DO45121 61 years, male, NA, stage:3, alive, 1530 days 2960.2
DO45205 67 years, female, NA, stage:2, dead, 90 days 2958.1
DO23543 63 years, male, NA, stage:2, alive, 1020 days 2947.6
DO48712 50 years, male, NA, stage:2, alive, 810 days 2825.1
DO48737 52 years, male, NA, stage:1, alive, 720 days 2822.3
DO45145 78 years, male, NA, stage:3, dead, 60 days 2815.3
DO45105 61 years, male, NA, stage:1, alive, 1680 days 2810.6
DO45185 89 years, male, NA, stage:2, alive, 600 days 2757.1
DO23519 65 years, male, NA, stage:3, alive, 630 days 2661.4
DO48679 72 years, male, NA, stage:2, alive, 1200 days 2599.9
DO45125 58 years, male, NA, stage:3, alive, 1680 days 2559.3
DO45231 84 years, male, NA, stage:2, alive, 930 days 2552.5
DO45169 74 years, male, NA, stage:3, alive, 1350 days 2461.9
DO48697 64 years, female, NA, stage:2, dead, 810 days 2414.4
DO45161 74 years, male, NA, stage:2, dead, 540 days 2375.3
DO45131 53 years, male, NA, stage:4, dead, 360 days 2343.4
DO50806 70 years, male, NA, stage:4, alive, 540 days 2296.9
DO23542 66 years, male, NA, stage:3, alive, 960 days 2118.2
DO45217 69 years, female, NA, stage:3, dead, 270 days 2001.1
DO45127 73 years, male, NA, stage:3, dead, 420 days 1988.2
DO45273 62 years, male, NA, stage:2, alive, 480 days 1806.7
DO45119 74 years, male, NA, stage:3, dead, 510 days 1605.2
DO45259 65 years, male, NA, stage:3, alive, 330 days 1602.4
DO45189 85 years, female, NA, stage:2, alive, 1200 days 1577.9
DO45155 69 years, male, NA, stage:2, alive, 2160 days 1528.0
DO45209 70 years, male, NA, stage:4, alive, 1350 days 1504.3
DO45275 65 years, male, NA, stage:3, dead, 10 days 1498.0
DO45139 63 years, male, NA, stage:3, alive, 1320 days 1380.0
DO45283 60 years, male, NA, stage:3, alive, 510 days 1332.3
DO45263 67 years, male, NA, stage:3, dead, 270 days 1310.5
DO50829 78 years, male, NA, stage:3, alive, 570 days 1225.9
DO23530 53 years, male, NA, stage:4, dead, 180 days 1209.2
DO48747 62 years, male, NA, stage:3, alive, 540 days 1202.7
DO50815 62 years, male, NA, stage:3, alive, 150 days 1102.9
DO23547 74 years, male, NA, stage:1, alive, 1020 days 1045.4
DO50778 60 years, male, NA, stage:4, alive, 630 days 984.9
DO48732 73 years, male, NA, stage:3, alive, 630 days 949.9
DO23526 66 years, male, NA, stage:3, alive, 1050 days 879.5
DO45249 57 years, male, NA, stage:1, alive, 630 days 864.0
DO48720 62 years, female, NA, stage:2, alive, 570 days 850.1
DO45251 57 years, female, NA, stage:2, alive, 900 days 742.6
DO45277 64 years, male, NA, stage:3, alive, 600 days 223.5
DO45301 56 years, male, NA, stage:2, dead, 1440 days 144.8
DO45305 66 years, male, NA, stage:4, alive, 300 days 77.7
DO45287 74 years, male, NA, stage:1, alive, 390 days 75.0
DO45289 78 years, female, NA, stage:3, alive, 360 days 49.9
DO45279 67 years, male, NA, stage:3, alive, 1290 days 24.8
DO45303 62 years, female, NA, stage:3, alive, 990 days 19.6
DO23523 52 years, male, NA, stage:3, alive, 1080 days 12.2
DO45307 54 years, female, NA, stage:4, dead, 240 days 11.2
DO45245 75 years, female, NA, stage:2, dead, 240 days 10.7
DO45285 59 years, male, NA, stage:3, alive, 480 days 8.4
DO45299 70 years, female, NA, stage:1, alive, 1440 days 6.8
DO45297 61 years, female, NA, stage:4, dead, 1260 days 4.8
DO45211 76 years, male, NA, stage:3, alive, 240 days 1.9
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LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples 330
Samples
Sample ID Sample type nRPX
877 Tumor 1.4
343 Tumor 1.3
425 Tumor 1.3
817 Tumor 1.1
921 Tumor 1.1
471 Tumor 1.1
375 Tumor 1.1
815 Tumor 0.9
745 Tumor 0.9
355 Tumor 0.9
863 Tumor 0.9
385 Tumor 0.8
635 Tumor 0.8
227 Tumor 0.7
975 Tumor 0.7
135 Tumor 0.7
697 Tumor 0.7
391 Tumor 0.7
573 Tumor 0.7
567 Tumor 0.7
823 Tumor 0.6
363 Tumor 0.6
313 Tumor 0.6
671 Tumor 0.6
192 Normal 0.6
223 Tumor 0.6
517 Tumor 0.6
277 Tumor 0.5
1045 Tumor 0.5
125 Tumor 0.5
951 Tumor 0.5
141 Tumor 0.5
1025 Tumor 0.5
571 Tumor 0.5
743 Tumor 0.5
112 Tumor 0.5
257 Tumor 0.4
131 Tumor 0.4
983 Tumor 0.4
393 Tumor 0.4
713 Tumor 0.4
553 Tumor 0.4
523 Tumor 0.4
455 Tumor 0.3
663 Tumor 0.3
411 Tumor 0.3
367 Tumor 0.3
113 Tumor 0.3
535 Tumor 0.3
641 Tumor 0.3
515 Tumor 0.3
487 Tumor 0.3
147 Tumor 0.3
137 Tumor 0.3
461 Tumor 0.3
744 Normal 0.2
881 Tumor 0.2
741 Tumor 0.2
342 Normal 0.2
142 Normal 0.2
777 Tumor 0.2
785 Tumor 0.2
545 Tumor 0.2
923 Tumor 0.2
271 Tumor 0.2
365 Tumor 0.2
376 Normal 0.2
221 Tumor 0.1
865 Tumor 0.1
963 Tumor 0.1
217 Tumor 0.1
527 Tumor 0.1
533 Tumor 0.1
423 Tumor 0.1
938 Normal 0.1
435 Tumor 0.1
1041 Tumor 0.1
742 Normal 0.1
392 Normal 0.1
383 Tumor 0.1
715 Tumor 0.1
297 Tumor 0.1
1043 Tumor 0.1
387 Tumor 0.1
477 Tumor 0.1
755 Tumor 0.1
615 Tumor 0.1
883 Tumor 0.1
421 Tumor 0.1
746 Normal 0.1
574 Normal 0.1
436 Normal 0.1
554 Normal 0.1
353 Tumor 0.1
463 Tumor 0.1
452 Normal 0.1
187 Tumor 0.1
538 Normal 0.1
384 Normal 0.1
737 Tumor 0.1
145 Tumor 0.1
862 Normal 0.1
267 Tumor 0.1
445 Tumor 0.1
224 Normal 0.1
161 Tumor 0.1
546 Normal 0.0
695 Tumor 0.0
132 Normal 0.0
283 Tumor 0.0
913 Tumor 0.0
111 Normal 0.0
422 Normal 0.0
618 Normal 0.0
647 Tumor 0.0
914 Normal 0.0
878 Normal 0.0
341 Tumor 0.0
474 Normal 0.0
314 Normal 0.0
958 Normal 0.0
368 Normal 0.0
124 Normal 0.0
386 Normal 0.0
388 Normal 0.0
128 Normal 0.0
196 Normal 0.0
813 Tumor 0.0
298 Normal 0.0
138 Normal 0.0
426 Normal 0.0
228 Normal 0.0
366 Normal 0.0
627 Tumor 0.0
937 Tumor 0.0
186 Normal 0.0
448 Normal 0.0
617 Tumor 0.0
354 Normal 0.0
364 Normal -0.1
851 Tumor -0.1
953 Tumor -0.1
976 Normal -0.1
483 Tumor -0.1
214 Normal -0.1
114 Normal -0.1
222 Normal -0.1
362 Normal -0.1
967 Tumor -0.1
915 Tumor -0.1
185 Tumor -0.1
126 Normal -0.1
431 Tumor -0.1
636 Normal -0.1
396 Normal -0.1
716 Normal -0.1
218 Normal -0.1
922 Normal -0.1
537 Tumor -0.1
394 Normal -0.1
738 Normal -0.1
358 Normal -0.1
146 Normal -0.1
864 Normal -0.1
957 Tumor -0.1
444 Normal -0.1
424 Normal -0.1
433 Tumor -0.1
952 Normal -0.1
432 Normal -0.1
258 Normal -0.1
494 Normal -0.1
518 Normal -0.1
924 Normal -0.1
428 Normal -0.1
446 Normal -0.1
982 Normal -0.1
312 Normal -0.1
728 Normal -0.1
272 Normal -0.1
331 Tumor -0.1
261 Tumor -0.1
525 Tumor -0.1
642 Normal -0.1
564 Normal -0.2
1027 Tumor -0.2
232 Normal -0.2
465 Tumor -0.2
534 Normal -0.2
148 Normal -0.2
568 Normal -0.2
352 Normal -0.2
162 Normal -0.2
414 Normal -0.2
497 Tumor -0.2
466 Normal -0.2
956 Normal -0.2
464 Normal -0.2
484 Normal -0.2
866 Normal -0.2
468 Normal -0.2
925 Tumor -0.2
1031 Tumor -0.2
172 Normal -0.2
462 Normal -0.2
964 Normal -0.2
412 Normal -0.2
344 Normal -0.2
434 Normal -0.2
648 Normal -0.2
136 Normal -0.2
727 Tumor -0.2
918 Normal -0.2
285 Tumor -0.2
723 Tumor -0.2
563 Tumor -0.2
472 Normal -0.2
955 Tumor -0.2
492 Normal -0.2
977 Tumor -0.2
356 Normal -0.2
416 Normal -0.2
212 Normal -0.2
278 Normal -0.2
572 Normal -0.2
874 Normal -0.2
1028 Normal -0.2
662 Normal -0.2
286 Normal -0.2
516 Normal -0.2
816 Normal -0.2
628 Normal -0.2
284 Normal -0.3
1044 Normal -0.3
1016 Normal -0.3
171 Tumor -0.3
536 Normal -0.3
188 Normal -0.3
616 Normal -0.3
127 Tumor -0.3
361 Tumor -0.3
488 Normal -0.3
328 Normal -0.3
456 Normal -0.3
778 Normal -0.3
664 Normal -0.3
262 Normal -0.3
558 Normal -0.3
818 Normal -0.3
965 Tumor -0.3
696 Normal -0.3
332 Normal -0.3
327 Tumor -0.3
268 Normal -0.3
482 Normal -0.3
447 Tumor -0.3
911 Tumor -0.3
514 Normal -0.3
857 Tumor -0.3
861 Tumor -0.3
868 Normal -0.3
882 Normal -0.3
528 Normal -0.3
1021 Tumor -0.3
722 Normal -0.3
415 Tumor -0.3
968 Normal -0.3
191 Tumor -0.3
916 Normal -0.3
1022 Normal -0.3
981 Tumor -0.3
786 Normal -0.4
1026 Normal -0.4
714 Normal -0.4
1014 Normal -0.4
481 Tumor -0.4
966 Normal -0.4
478 Normal -0.4
526 Normal -0.4
984 Normal -0.4
672 Normal -0.4
443 Tumor -0.4
954 Normal -0.4
498 Normal -0.4
195 Tumor -0.4
557 Tumor -0.4
213 Tumor -0.4
524 Normal -0.4
944 Normal -0.4
493 Tumor -0.4
686 Normal -0.4
311 Tumor -0.4
1015 Tumor -0.4
698 Normal -0.4
756 Normal -0.5
926 Normal -0.5
491 Tumor -0.5
721 Tumor -0.5
1046 Normal -0.5
1032 Normal -0.5
473 Tumor -0.5
395 Tumor -0.5
413 Tumor -0.5
824 Normal -0.5
852 Normal -0.5
357 Tumor -0.5
873 Tumor -0.5
467 Tumor -0.6
858 Normal -0.6
123 Tumor -0.6
884 Normal -0.6
513 Tumor -0.6
1042 Normal -0.6
917 Tumor -0.6
451 Tumor -0.6
867 Tumor -0.6
665 Tumor -0.7
666 Normal -0.7
978 Normal -0.7
427 Tumor -0.7
943 Tumor -0.7
661 Tumor -0.7
685 Tumor -0.7
231 Tumor -0.8
814 Normal -0.8
351 Tumor -0.8
724 Normal -0.9
912 Normal -0.9
1013 Tumor -1.0
211 Tumor -1.1
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 HPA001497

Antibody CAB069436
 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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The Human Protein Atlas

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The Human Protein Atlas project is funded
by the Knut & Alice Wallenberg Foundation.


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