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  • RPS4X
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.

RPS4X 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.

: 853.99
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 642.6
Number of samples 362
Samples
Sample Description pTPM
TCGA-FV-A3I0-01A 76 years, female, white, stage:Stage II, alive, 848 days 2748.0
TCGA-G3-AAV6-01A 53 years, female, white, stage:Stage IIIA, dead, 65 days 2098.6
TCGA-DD-AA3A-01A 81 years, female, white, stage:Stage I, dead, 410 days 2050.2
TCGA-EP-A2KA-01A 52 years, female, white, stage:Stage IIIA, dead, 627 days 2027.3
TCGA-DD-AACP-01A 64 years, male, asian, stage:Stage I, alive, 415 days 2027.1
TCGA-CC-A7II-01A 54 years, male, asian, stage:Stage IIIA, alive, 399 days 1989.6
TCGA-UB-A7MA-01A 62 years, female, white, stage:Stage II, alive, 848 days 1983.0
TCGA-DD-AADI-01A 43 years, female, asian, stage:Stage I, alive, 1085 days 1961.4
TCGA-CC-A123-01A 24 years, female, asian, stage:Stage IIIA, alive, 219 days 1953.6
TCGA-CC-5260-01A 61 years, female, asian, stage:Stage IIIC, dead, 87 days 1901.3
TCGA-ED-A5KG-01A 60 years, female, asian, stage:Stage II, alive, 854 days 1891.2
TCGA-DD-AAVU-01A 46 years, male, asian, stage:Stage II, alive, 2202 days 1854.6
TCGA-G3-A25T-01A 45 years, female, white, stage:Stage IIIA, alive, 1553 days 1785.9
TCGA-ED-A8O5-01A 59 years, female, asian, stage:Stage IIIA, alive, 406 days 1729.3
TCGA-CC-A3M9-01A 45 years, male, asian, stage:Stage IIIA, dead, 300 days 1728.1
TCGA-CC-5264-01A 71 years, male, asian, stage:Stage IIIA, dead, 102 days 1690.4
TCGA-CC-A8HU-01A 39 years, female, asian, stage:Stage IIIA, dead, 344 days 1555.5
TCGA-DD-AAE0-01A 45 years, female, asian, stage:Stage IIIA, alive, 555 days 1490.8
TCGA-G3-A25Y-01A 52 years, female, asian, stage:Stage I, dead, 452 days 1459.1
TCGA-ED-A66Y-01A 51 years, female, asian, stage:Stage IIIA, dead, 296 days 1412.6
TCGA-DD-A39V-01A 77 years, male, white, stage:Stage II, dead, 643 days 1411.2
TCGA-EP-A2KB-01A 46 years, female, white, stage:Stage I, dead, 596 days 1365.3
TCGA-2Y-A9H2-01A 64 years, female, white, stage:Stage I, alive, 1731 days 1362.9
TCGA-KR-A7K7-01A 61 years, female, white, stage:Stage II, alive, 951 days 1299.2
TCGA-ES-A2HS-01A 80 years, male, white, stage:Stage I, dead, 688 days 1286.4
TCGA-2Y-A9GY-01A 64 years, female, white, stage:Stage II, dead, 757 days 1278.3
TCGA-ED-A82E-01A 60 years, female, asian, stage:Stage IIIA, alive, 408 days 1223.0
TCGA-DD-AAC8-01A 72 years, male, asian, stage:Stage I, dead, 16 days 1215.3
TCGA-BW-A5NO-01A 50 years, male, black or african american, stage:Stage IIIA, alive, 20 days 1215.0
TCGA-G3-A7M6-01A 60 years, female, white, stage:Stage I, alive, 632 days 1202.5
TCGA-DD-AADO-01A 55 years, male, asian, stage:Stage I, alive, 453 days 1200.6
TCGA-DD-AACF-01A 68 years, male, asian, stage:Stage I, dead, 365 days 1193.9
TCGA-DD-AACN-01A 32 years, male, asian, stage:Stage I, alive, 1302 days 1185.0
TCGA-CC-A7IE-01A 57 years, male, asian, stage:Stage IIIA, dead, 217 days 1184.2
TCGA-XR-A8TF-01A 74 years, male, white, stage:Stage I, dead, 693 days 1179.0
TCGA-CC-A3MA-01A 61 years, male, asian, stage:Stage IIIA, dead, 303 days 1174.8
TCGA-DD-AACB-01A 74 years, female, asian, stage:Stage I, alive, 2324 days 1157.4
TCGA-BC-A112-01A 80 years, male, white, stage:'--, dead, 153 days 1148.7
TCGA-DD-AAW2-01A 69 years, male, asian, stage:Stage I, alive, 1855 days 1139.1
TCGA-DD-AADY-01A 55 years, female, asian, stage:Stage I, alive, 555 days 1116.9
TCGA-DD-A39Z-01A 43 years, female, stage:Stage II, dead, 601 days 1114.1
TCGA-DD-A1EL-01A 23 years, male, black or african american, stage:Stage II, dead, 415 days 1104.9
TCGA-CC-5258-01A 48 years, male, asian, stage:Stage II, dead, 129 days 1101.4
TCGA-RG-A7D4-01A 69 years, male, black or african american, stage:Stage II, alive, 1098 days 1077.7
TCGA-DD-A73G-01A 73 years, female, white, stage:Stage I, alive, 3478 days 1066.9
TCGA-DD-A1EJ-01A 71 years, female, white, stage:Stage IIIC, dead, 1005 days 1059.1
TCGA-CC-A8HV-01A 51 years, female, asian, stage:Stage II, dead, 279 days 1043.4
TCGA-DD-AACL-01A 66 years, female, asian, stage:Stage I, dead, 107 days 1041.2
TCGA-CC-A9FW-01A 68 years, male, asian, stage:Stage IIIA, alive, 248 days 1034.8
TCGA-G3-A25X-01A 73 years, male, asian, stage:Stage II, alive, 1779 days 1029.6
TCGA-BC-A217-01A 75 years, female, white, stage:Stage II, dead, 1397 days 1025.5
TCGA-CC-A7IJ-01A 56 years, male, asian, stage:Stage II, alive, 382 days 1024.5
TCGA-DD-A4NN-01A 56 years, female, white, stage:Stage I, dead, 899 days 1016.5
TCGA-RC-A6M4-01A 74 years, female, white, stage:Stage IIIA, alive, 22 days 1008.5
TCGA-DD-AAVQ-01A 38 years, male, asian, stage:Stage I, alive, 2728 days 1007.5
TCGA-DD-AACA-01A 65 years, male, asian, stage:Stage I, alive, 2301 days 1000.8
TCGA-FV-A23B-01A 70 years, female, white, stage:Stage II, dead, 1852 days 980.8
TCGA-G3-A7M9-01A 70 years, male, white, stage:Stage IIIB, dead, 56 days 980.5
TCGA-CC-5261-01A 44 years, male, asian, stage:Stage II, dead, 97 days 970.7
TCGA-YA-A8S7-01A 68 years, male, white, stage:Stage IIIA, dead, 412 days 947.6
TCGA-DD-AACD-01A 48 years, male, asian, stage:Stage I, dead, 381 days 945.2
TCGA-DD-AAD1-01A 51 years, female, asian, stage:Stage I, alive, 564 days 941.4
TCGA-CC-A7IG-01A 47 years, male, asian, stage:Stage II, dead, 299 days 906.1
TCGA-5C-A9VG-01A 58 years, male, white, stage:Stage II, alive, 328 days 898.1
TCGA-DD-AADJ-01A 70 years, female, asian, stage:Stage I, alive, 1066 days 896.7
TCGA-DD-A1EH-01A 23 years, male, white, stage:Stage III, alive, 1495 days 895.9
TCGA-CC-A5UE-01A 48 years, male, asian, stage:Stage IIIB, dead, 272 days 888.6
TCGA-DD-A3A9-01A 64 years, female, white, stage:Stage IVB, dead, 931 days 885.9
TCGA-ED-A459-01A 47 years, male, asian, stage:Stage II, alive, 910 days 877.9
TCGA-DD-AADP-01A 45 years, male, asian, stage:Stage I, alive, 458 days 868.4
TCGA-DD-AAVY-01A 56 years, male, asian, stage:Stage IIIA, alive, 1970 days 856.1
TCGA-WQ-A9G7-01A 71 years, female, white, stage:'--, alive, 30 days 856.1
TCGA-G3-AAV4-01A 83 years, female, white, stage:Stage I, dead, 27 days 854.9
TCGA-DD-AAW1-01A 55 years, male, asian, stage:Stage IIIA, alive, 1989 days 854.4
TCGA-DD-AADA-01A 66 years, female, asian, stage:Stage I, alive, 1233 days 853.6
TCGA-DD-AACW-01A 43 years, male, asian, stage:Stage I, alive, 1424 days 846.5
TCGA-FV-A4ZQ-01A 52 years, male, white, stage:Stage I, alive, 12 days 835.6
TCGA-DD-AADN-01A 59 years, male, asian, stage:Stage I, alive, 898 days 827.9
TCGA-G3-AAV2-01A 50 years, male, white, stage:Stage I, alive, 372 days 825.8
TCGA-DD-AAE4-01A 49 years, female, asian, stage:Stage I, alive, 608 days 824.2
TCGA-DD-A1EF-01A 57 years, female, white, stage:Stage I, dead, 394 days 823.3
TCGA-DD-A39W-01A 29 years, female, white, stage:Stage III, dead, 827 days 823.3
TCGA-DD-AACG-01A 52 years, male, asian, stage:Stage II, dead, 469 days 823.3
TCGA-DD-AAED-01A 51 years, male, asian, stage:Stage I, alive, 763 days 822.7
TCGA-DD-A118-01A 77 years, female, white, stage:Stage II, alive, 3437 days 809.5
TCGA-CC-A1HT-01A 50 years, male, asian, stage:Stage IIIA, dead, 101 days 803.3
TCGA-DD-A4NJ-01A 54 years, female, white, stage:Stage II, alive, 928 days 801.2
TCGA-DD-AACZ-01A 63 years, female, asian, stage:Stage I, dead, 171 days 799.2
TCGA-RC-A6M6-01A 75 years, male, white, stage:Stage II, alive, 9 days 789.0
TCGA-ED-A7PY-01A 20 years, female, asian, stage:Stage II, alive, 390 days 781.7
TCGA-DD-AAD5-01A 54 years, male, asian, stage:Stage I, alive, 1345 days 778.0
TCGA-ED-A7PX-01A 48 years, female, asian, stage:Stage II, alive, 6 days 774.8
TCGA-2Y-A9GZ-01A 82 years, female, white, stage:Stage II, dead, 848 days 769.0
TCGA-MI-A75E-01A 61 years, male, white, stage:Stage IIIC, alive, 507 days 763.0
TCGA-DD-A39X-01A 78 years, female, white, stage:Stage I, dead, 1694 days 753.7
TCGA-CC-A7IH-01A 58 years, male, asian, stage:Stage IIIA, alive, 365 days 751.9
TCGA-BC-A10U-01A 69 years, male, white, stage:'--, dead, 837 days 747.5
TCGA-BC-A10Q-01A 72 years, female, white, stage:'--, dead, 1135 days 747.2
TCGA-HP-A5N0-01A 90 years, female, stage:'--, dead, 752 days 744.7
TCGA-DD-AAVP-01A 48 years, male, asian, stage:Stage I, alive, 2752 days 740.4
TCGA-DD-AACS-01A 39 years, male, asian, stage:Stage I, alive, 1804 days 735.7
TCGA-DD-A4NS-01A 61 years, female, white, stage:Stage I, dead, 2456 days 731.3
TCGA-ZS-A9CG-01A 55 years, male, white, stage:Stage II, alive, 341 days 730.1
TCGA-5C-AAPD-01A 61 years, male, asian, stage:Stage II, alive, 20 days 728.8
TCGA-G3-AAV3-01A 58 years, female, white, stage:Stage II, alive, 412 days 722.7
TCGA-DD-A114-01A 42 years, male, black or african american, stage:Stage II, dead, 1149 days 721.6
TCGA-EP-A3RK-01A 73 years, male, white, stage:Stage IIIA, alive, 363 days 718.8
TCGA-ED-A7PZ-01A 61 years, male, asian, stage:Stage II, alive, 6 days 716.8
TCGA-UB-A7ME-01A 51 years, male, asian, stage:Stage I, alive, 486 days 713.1
TCGA-FV-A3I1-01A 81 years, female, white, stage:Stage II, dead, 247 days 710.7
TCGA-DD-A4NA-01A 67 years, female, white, stage:Stage IIIC, alive, 1008 days 708.5
TCGA-ED-A8O6-01A 50 years, female, asian, stage:Stage IIIA, dead, 56 days 701.6
TCGA-RC-A7S9-01A 47 years, female, asian, stage:Stage I, alive, 640 days 701.3
TCGA-ED-A66X-01A 35 years, male, asian, stage:Stage IIIA, alive, 406 days 697.9
TCGA-MI-A75H-01A 77 years, male, white, stage:'--, alive, 747 days 686.0
TCGA-XR-A8TC-01A 43 years, female, white, stage:Stage I, alive, 1339 days 681.9
TCGA-MI-A75G-01A 63 years, male, white, stage:Stage II, alive, 698 days 677.6
TCGA-DD-A4NF-01A 72 years, male, white, stage:Stage I, alive, 942 days 677.1
TCGA-2Y-A9GS-01A 58 years, male, white, stage:'--, dead, 724 days 674.0
TCGA-DD-AAVS-01A 56 years, male, asian, stage:Stage I, alive, 1823 days 669.6
TCGA-DD-AADB-01A 51 years, male, asian, stage:Stage I, alive, 1242 days 668.0
TCGA-DD-AADW-01A 48 years, male, asian, stage:Stage I, alive, 587 days 667.3
TCGA-FV-A495-01A 51 years, female, white, stage:Stage II, alive, 1 days 662.2
TCGA-DD-A4NR-01A 85 years, female, white, stage:Stage I, dead, 9 days 659.5
TCGA-G3-A25U-01A 63 years, female, asian, stage:Stage I, alive, 1636 days 655.6
TCGA-BC-A110-01A 51 years, female, black or african american, stage:'--, dead, 2116 days 654.1
TCGA-DD-A73D-01A 68 years, female, white, stage:Stage II, alive, 693 days 648.1
TCGA-BC-A3KG-01A 68 years, female, white, stage:Stage II, alive, 680 days 647.4
TCGA-G3-AAV5-01A 67 years, male, white, stage:Stage II, alive, 354 days 647.1
TCGA-ZP-A9D1-01A 56 years, female, white, stage:'--, alive, 21 days 643.5
TCGA-DD-A1EE-01A 73 years, male, white, stage:Stage IIIA, dead, 349 days 639.8
TCGA-BD-A3EP-01A 75 years, female, black or african american, stage:Stage I, alive, 409 days 634.2
TCGA-DD-A73E-01A 66 years, male, white, stage:Stage I, alive, 44 days 631.0
TCGA-ZP-A9D0-01A 67 years, female, black or african american, stage:'--, alive, 1091 days 629.6
TCGA-EP-A2KC-01A 62 years, male, black or african american, stage:Stage I, dead, 19 days 627.6
TCGA-DD-AAE9-01A 69 years, male, asian, stage:Stage I, alive, 722 days 625.1
TCGA-CC-5263-01A 35 years, male, asian, stage:Stage IIIA, dead, 129 days 624.7
TCGA-RC-A6M5-01A 20 years, female, white, stage:Stage IVA, alive, 15 days 622.5
TCGA-CC-A3MB-01A 36 years, male, asian, stage:Stage IIIA, dead, 315 days 620.5
TCGA-DD-AACU-01A 59 years, male, asian, stage:Stage I, alive, 1567 days 618.4
TCGA-2Y-A9H4-01A 68 years, male, black or african american, stage:Stage I, alive, 1452 days 612.8
TCGA-CC-5262-01A 67 years, male, asian, stage:Stage IIIC, dead, 103 days 612.4
TCGA-FV-A3R3-01A 38 years, female, white, stage:Stage I, dead, 366 days 609.4
TCGA-DD-AADK-01A 68 years, female, asian, stage:Stage II, alive, 1049 days 607.4
TCGA-G3-AAV1-01A 51 years, male, asian, stage:Stage IIIC, dead, 359 days 600.9
TCGA-G3-A5SJ-01A 59 years, male, white, stage:Stage I, alive, 698 days 600.8
TCGA-DD-AADC-01A 53 years, male, asian, stage:Stage I, dead, 425 days 600.2
TCGA-3K-AAZ8-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 396 days 599.7
TCGA-2Y-A9H5-01A 59 years, female, white, stage:Stage I, dead, 555 days 596.7
TCGA-G3-AAUZ-01A 48 years, male, stage:Stage I, alive, 480 days 591.0
TCGA-PD-A5DF-01A 58 years, female, white, stage:Stage IIIB, dead, 639 days 588.6
TCGA-DD-AAE6-01A 59 years, female, asian, stage:Stage I, alive, 141 days 588.3
TCGA-ZS-A9CE-01A 79 years, female, white, stage:Stage II, alive, 1241 days 581.7
TCGA-5R-AA1D-01A 17 years, female, white, stage:Stage IIIA, alive, 449 days 571.1
TCGA-ED-A7XP-01A 53 years, female, asian, stage:Stage II, alive, 400 days 570.8
TCGA-ZP-A9D4-01A 64 years, female, white, stage:'--, alive, 395 days 570.7
TCGA-DD-AADD-01A 51 years, male, asian, stage:Stage I, alive, 1231 days 569.2
TCGA-CC-5259-01A 60 years, female, asian, stage:Stage IIIC, alive, 250 days 567.9
TCGA-DD-AAW3-01A 69 years, male, asian, stage:Stage I, alive, 1633 days 566.5
TCGA-DD-AADF-01A 64 years, female, asian, stage:Stage I, dead, 115 days 564.8
TCGA-DD-AAE1-01A 52 years, male, asian, stage:Stage I, alive, 552 days 564.3
TCGA-5R-AA1C-01A 57 years, male, white, stage:Stage II, alive, 520 days 559.2
TCGA-XR-A8TE-01A 16 years, male, white, stage:Stage IIIA, alive, 925 days 557.2
TCGA-K7-AAU7-01A 61 years, male, white, stage:Stage II, alive, 359 days 554.7
TCGA-2Y-A9H7-01A 81 years, female, white, stage:Stage I, alive, 1168 days 551.6
TCGA-G3-AAV7-01A 38 years, male, asian, stage:Stage II, alive, 361 days 550.3
TCGA-DD-A1EA-01A 68 years, male, asian, stage:Stage II, alive, 2415 days 548.9
TCGA-DD-AACJ-01A 75 years, male, asian, stage:Stage II, alive, 2102 days 548.4
TCGA-BC-A3KF-01A 66 years, female, white, stage:Stage I, alive, 8 days 547.6
TCGA-EP-A26S-01A 70 years, male, white, stage:Stage I, alive, 608 days 543.9
TCGA-BC-A10X-01A 52 years, female, white, stage:Stage IIIA, dead, 770 days 543.8
TCGA-DD-A3A5-01A 66 years, female, white, stage:Stage III, dead, 3125 days 543.0
TCGA-DD-AACC-01A 61 years, male, asian, stage:Stage I, dead, 1685 days 540.8
TCGA-DD-AADV-01A 50 years, male, asian, stage:Stage I, alive, 574 days 540.4
TCGA-ZS-A9CD-01A 73 years, male, white, stage:Stage II, dead, 1386 days 538.2
TCGA-BC-A10S-01A 81 years, male, white, stage:'--, dead, 1423 days 533.2
TCGA-CC-A5UC-01A 63 years, male, asian, stage:Stage IIIA, dead, 347 days 531.8
TCGA-WX-AA44-01A 64 years, female, white, stage:Stage I, alive, 615 days 531.6
TCGA-2Y-A9H0-01A 49 years, male, white, stage:Stage IIIA, alive, 3675 days 526.6
TCGA-DD-AACO-01A 40 years, male, asian, stage:Stage I, alive, 1876 days 524.6
TCGA-DD-A1EI-01A 46 years, male, asian, stage:Stage I, alive, 183 days 523.6
TCGA-DD-AADR-01A 58 years, male, asian, stage:Stage I, alive, 2028 days 523.2
TCGA-UB-A7MC-01A 59 years, male, white, stage:Stage IIIA, alive, 500 days 518.4
TCGA-DD-AAEE-01A 55 years, male, asian, stage:Stage I, alive, 810 days 513.8
TCGA-BC-A10T-01A 76 years, male, white, stage:'--, dead, 837 days 512.4
TCGA-DD-A1EC-01A 20 years, female, white, stage:Stage I, alive, 602 days 510.0
TCGA-DD-A4NE-01A 75 years, female, white, stage:Stage IIIA, dead, 660 days 509.5
TCGA-DD-AAEH-01A 73 years, male, asian, stage:Stage I, alive, 784 days 509.3
TCGA-2Y-A9GW-01A 64 years, male, white, stage:Stage I, dead, 1271 days 508.0
TCGA-ED-A627-01A 74 years, male, white, stage:Stage I, alive, 423 days 507.2
TCGA-DD-AAD3-01A 43 years, male, asian, stage:Stage I, alive, 1295 days 501.9
TCGA-XR-A8TD-01A 49 years, female, white, stage:Stage IIIB, alive, 1030 days 498.9
TCGA-BC-A5W4-01A 69 years, male, white, stage:Stage IIIA, dead, 547 days 498.1
TCGA-CC-A7IK-01A 59 years, male, asian, stage:Stage IIIA, dead, 262 days 497.9
TCGA-5C-A9VH-01A 70 years, male, white, stage:Stage I, alive, 322 days 496.6
TCGA-G3-A25S-01A 64 years, male, white, stage:Stage I, dead, 416 days 494.9
TCGA-DD-AAD0-01A 73 years, female, asian, stage:Stage I, alive, 137 days 490.1
TCGA-DD-A4NO-01A 65 years, male, white, stage:Stage I, alive, 2245 days 490.1
TCGA-DD-A4NH-01A 65 years, female, white, stage:Stage IIIB, alive, 917 days 488.0
TCGA-DD-A39Y-01A 67 years, male, asian, stage:Stage I, dead, 171 days 487.7
TCGA-MI-A75C-01A 64 years, male, white, stage:Stage I, alive, 291 days 486.8
TCGA-DD-AAVZ-01A 38 years, male, asian, stage:Stage I, alive, 1900 days 486.6
TCGA-DD-AAD6-01A 66 years, male, asian, stage:Stage IIIA, alive, 672 days 485.4
TCGA-ED-A7XO-01A 29 years, male, asian, stage:Stage IIIA, alive, 427 days 485.3
TCGA-DD-AADM-01A 58 years, male, asian, stage:Stage II, dead, 12 days 484.4
TCGA-5R-AAAM-01A 65 years, female, white, stage:Stage II, dead, 46 days 484.4
TCGA-FV-A4ZP-01A 78 years, male, white, stage:Stage IIIA, dead, 2486 days 482.5
TCGA-BC-A10Z-01A 62 years, female, white, stage:Stage I, dead, 34 days 482.4
TCGA-DD-A116-01A 68 years, male, asian, stage:Stage IIIA, dead, 1622 days 480.0
TCGA-G3-A7M5-01A 76 years, male, asian, stage:Stage I, alive, 447 days 479.4
TCGA-G3-A3CK-01A 61 years, male, asian, stage:Stage I, alive, 585 days 479.3
TCGA-DD-AACI-01A 69 years, male, asian, stage:Stage II, alive, 1618 days 478.1
TCGA-DD-A3A6-01A 72 years, female, white, stage:Stage II, dead, 3258 days 477.4
TCGA-DD-AACH-01A 69 years, male, asian, stage:Stage II, dead, 195 days 477.0
TCGA-G3-A3CG-01A 80 years, male, white, stage:Stage I, alive, 673 days 475.3
TCGA-UB-AA0V-01A 69 years, female, white, stage:Stage I, alive, 314 days 474.5
TCGA-DD-AAVV-01A 56 years, male, asian, stage:Stage II, alive, 2455 days 473.7
TCGA-HP-A5MZ-01A 78 years, male, stage:Stage I, dead, 91 days 472.1
TCGA-DD-AAVR-01A 44 years, male, asian, stage:Stage I, alive, 2513 days 469.4
TCGA-DD-AACK-01A 70 years, male, asian, stage:Stage I, alive, 9 days 466.6
TCGA-ED-A97K-01A 54 years, male, asian, stage:Stage IIIA, alive, 6 days 465.0
TCGA-BC-A69H-01A 64 years, male, white, stage:Stage II, alive, 444 days 463.8
TCGA-WX-AA47-01A 33 years, female, white, stage:Stage IIIA, dead, 556 days 463.7
TCGA-BC-A216-01A 62 years, female, white, stage:Stage IIIA, alive, 1351 days 463.0
TCGA-DD-A4NV-01A 61 years, male, white, stage:Stage IIIA, alive, 2398 days 461.1
TCGA-DD-A4ND-01A 56 years, female, white, stage:Stage I, alive, 2746 days 457.1
TCGA-CC-A9FS-01A 55 years, male, asian, stage:Stage II, alive, 211 days 456.1
TCGA-CC-A8HT-01A 74 years, male, asian, stage:Stage IIIA, dead, 140 days 446.2
TCGA-G3-A3CJ-01A 52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days 446.1
TCGA-FV-A2QQ-01A 80 years, male, white, stage:Stage I, alive, 729 days 444.2
TCGA-UB-A7MB-01A 24 years, male, white, stage:Stage II, alive, 601 days 443.9
TCGA-BC-A10R-01A 66 years, female, white, stage:'--, dead, 308 days 443.1
TCGA-KR-A7K2-01A 64 years, male, white, stage:Stage I, alive, 829 days 442.6
TCGA-LG-A6GG-01A 79 years, female, white, stage:Stage II, alive, 387 days 439.5
TCGA-GJ-A3OU-01A 59 years, male, white, stage:Stage I, alive, 879 days 437.2
TCGA-BC-A10W-01A 50 years, male, asian, stage:'--, dead, 91 days 436.6
TCGA-DD-AACX-01A 66 years, male, asian, stage:Stage II, alive, 170 days 432.3
TCGA-EP-A3JL-01A 76 years, male, white, stage:Stage I, alive, 303 days 432.0
TCGA-DD-A113-01A 55 years, female, white, stage:Stage II, alive, 2425 days 425.4
TCGA-DD-AADQ-01A 59 years, male, asian, stage:Stage II, alive, 436 days 423.0
TCGA-DD-A119-01A 40 years, male, asian, stage:Stage IV, dead, 223 days 420.0
TCGA-2Y-A9H3-01A 45 years, male, white, stage:Stage II, alive, 1516 days 419.1
TCGA-KR-A7K8-01A 57 years, male, stage:Stage I, alive, 906 days 417.5
TCGA-DD-AACY-01A 61 years, male, asian, stage:Stage I, alive, 1450 days 417.4
TCGA-BC-A69I-01A 69 years, male, white, stage:Stage I, alive, 387 days 415.8
TCGA-DD-A3A3-01A 45 years, male, asian, stage:Stage I, dead, 535 days 415.6
TCGA-CC-A8HS-01A 18 years, male, asian, stage:Stage IIIC, dead, 300 days 411.1
TCGA-G3-A5SI-01A 44 years, male, asian, stage:Stage II, dead, 768 days 409.5
TCGA-2Y-A9GX-01A 68 years, male, white, stage:Stage I, alive, 2442 days 404.9
TCGA-DD-AADS-01A 63 years, male, asian, stage:Stage I, alive, 474 days 403.3
TCGA-MR-A8JO-01A 34 years, male, white, stage:Stage I, alive, 330 days 403.3
TCGA-DD-AAE3-01A 50 years, male, asian, stage:Stage I, alive, 566 days 403.2
TCGA-2Y-A9H8-01A 85 years, female, white, stage:'--, dead, 633 days 400.9
TCGA-2Y-A9H6-01A 68 years, female, white, stage:Stage I, alive, 357 days 400.2
TCGA-MI-A75I-01A 61 years, male, black or african american, stage:'--, alive, 630 days 399.2
TCGA-2Y-A9H1-01A 58 years, male, white, stage:Stage I, dead, 1229 days 394.8
TCGA-DD-AACQ-01A 50 years, male, asian, stage:Stage II, dead, 432 days 391.0
TCGA-DD-AADG-01A 70 years, male, asian, stage:Stage IIIA, alive, 1145 days 389.6
TCGA-RC-A7SH-01A 42 years, male, asian, stage:Stage II, alive, 468 days 386.8
TCGA-DD-AAE2-01A 51 years, male, asian, stage:Stage I, alive, 638 days 386.7
TCGA-DD-AAVX-01A 38 years, male, asian, stage:Stage II, alive, 1718 days 386.3
TCGA-DD-A1EG-01A 76 years, male, white, stage:Stage I, dead, 1372 days 384.5
TCGA-UB-A7MF-01A 56 years, male, white, stage:Stage IIIA, dead, 214 days 383.2
TCGA-BC-A8YO-01A 66 years, female, white, stage:Stage IIIC, alive, 562 days 380.9
TCGA-CC-A5UD-01A 45 years, male, asian, stage:Stage IIIA, dead, 304 days 380.5
TCGA-G3-A25Z-01A 58 years, male, asian, stage:Stage I, alive, 655 days 380.2
TCGA-DD-AAD2-01A 66 years, male, asian, stage:Stage I, alive, 658 days 378.1
TCGA-BC-A10Y-01A 76 years, male, white, stage:'--, dead, 711 days 376.6
TCGA-T1-A6J8-01A 68 years, male, white, stage:'--, alive, 23 days 375.7
TCGA-XR-A8TG-01A 58 years, male, white, stage:Stage I, alive, 898 days 374.5
TCGA-DD-A73C-01A 65 years, female, white, stage:Stage IIIA, alive, 701 days 373.4
TCGA-DD-A3A7-01A 67 years, male, stage:Stage IIIB, dead, 419 days 372.7
TCGA-ZP-A9CZ-01A 72 years, male, asian, stage:'--, alive, 706 days 372.4
TCGA-ZP-A9D2-01A 51 years, male, white, stage:'--, dead, 765 days 371.3
TCGA-G3-A3CH-01A 53 years, male, asian, stage:Stage IIIA, alive, 780 days 370.2
TCGA-2Y-A9GT-01A 51 years, male, white, stage:Stage I, dead, 1624 days 367.4
TCGA-2Y-A9GV-01A 54 years, female, white, stage:Stage I, dead, 2532 days 367.0
TCGA-DD-AAEI-01A 72 years, male, asian, stage:Stage I, alive, 1531 days 366.2
TCGA-FV-A496-01A 84 years, female, white, stage:Stage I, alive, 10 days 365.3
TCGA-WQ-AB4B-01A 62 years, male, white, stage:Stage II, alive, 395 days 363.9
TCGA-DD-AAW0-01A 54 years, male, asian, stage:Stage I, alive, 2015 days 359.5
TCGA-ES-A2HT-01A 54 years, male, black or african american, stage:Stage I, dead, 438 days 358.8
TCGA-DD-A11D-01A 57 years, female, white, stage:Stage I, dead, 1560 days 357.1
TCGA-G3-A25V-01A 68 years, male, white, stage:Stage I, alive, 860 days 355.3
TCGA-G3-A6UC-01A 65 years, male, white, stage:Stage IIIB, alive, 671 days 353.5
TCGA-DD-AAEG-01A 59 years, female, asian, stage:Stage I, alive, 719 days 353.1
TCGA-DD-AACV-01A 53 years, male, asian, stage:Stage I, alive, 1531 days 351.7
TCGA-DD-A3A2-01A 76 years, female, white, stage:Stage I, dead, 2131 days 351.5
TCGA-DD-A3A1-01A 65 years, male, stage:Stage IIIA, dead, 233 days 349.7
TCGA-EP-A12J-01A 62 years, male, black or african american, stage:Stage I, alive, 570 days 349.2
TCGA-DD-A4NK-01A 80 years, female, white, stage:Stage IIIA, dead, 1210 days 346.2
TCGA-DD-AAEB-01A 60 years, male, asian, stage:Stage I, alive, 478 days 345.2
TCGA-DD-A73F-01A 77 years, female, white, stage:Stage I, alive, 1085 days 341.1
TCGA-K7-A5RG-01A 66 years, male, black or african american, stage:Stage I, alive, 519 days 339.8
TCGA-ED-A4XI-01A 58 years, male, asian, stage:Stage II, alive, 819 days 338.5
TCGA-G3-AAV0-01A 58 years, male, asian, stage:Stage I, alive, 476 days 337.1
TCGA-QA-A7B7-01A 48 years, male, black or african american, stage:Stage II, alive, 94 days 334.3
TCGA-DD-A11C-01A 69 years, male, white, stage:Stage I, alive, 662 days 332.9
TCGA-DD-AADL-01A 58 years, male, asian, stage:Stage I, alive, 636 days 330.5
TCGA-GJ-A6C0-01A 75 years, female, white, stage:Stage II, dead, 31 days 325.7
TCGA-RC-A7SF-01A 66 years, male, asian, stage:Stage I, alive, 579 days 325.1
TCGA-ZS-A9CF-01A 64 years, male, white, stage:Stage II, alive, 2412 days 323.9
TCGA-DD-A4NB-01A 25 years, male, white, stage:Stage I, alive, 989 days 320.8
TCGA-WX-AA46-01A 61 years, male, white, stage:Stage II, alive, 756 days 315.5
TCGA-DD-A1EK-01A 64 years, female, white, stage:Stage IVB, dead, 558 days 313.9
TCGA-ZP-A9CY-01A 66 years, female, white, stage:'--, alive, 782 days 313.8
TCGA-DD-AAE7-01A 72 years, male, asian, stage:Stage I, alive, 644 days 313.7
TCGA-FV-A3R2-01A 75 years, male, white, stage:Stage I, dead, 194 days 312.4
TCGA-2Y-A9HB-01A 66 years, male, stage:Stage I, alive, 260 days 311.5
TCGA-UB-A7MD-01A 67 years, male, black or african american, stage:Stage I, dead, 52 days 310.8
TCGA-DD-AAD8-01A 73 years, female, asian, stage:Stage I, alive, 1219 days 307.4
TCGA-DD-AAC9-01A 51 years, male, asian, stage:Stage I, alive, 347 days 303.2
TCGA-G3-A5SL-01A 70 years, male, white, stage:Stage II, alive, 621 days 303.2
TCGA-O8-A75V-01A 54 years, male, stage:Stage I, alive, 538 days 302.1
TCGA-DD-A4NQ-01A 60 years, male, white, stage:Stage II, dead, 373 days 301.2
TCGA-DD-A1EB-01A 72 years, female, stage:Stage I, alive, 2017 days 300.8
TCGA-G3-A5SK-01A 58 years, male, white, stage:Stage I, alive, 744 days 297.5
TCGA-KR-A7K0-01A 65 years, male, white, stage:Stage I, dead, 65 days 296.4
TCGA-DD-A73B-01A 72 years, female, white, stage:Stage I, dead, 283 days 290.7
TCGA-DD-A4NG-01A 77 years, male, white, stage:Stage IIIA, dead, 802 days 289.5
TCGA-DD-AAEK-01A 51 years, male, asian, stage:Stage II, alive, 1067 days 289.2
TCGA-CC-A7IL-01A 61 years, male, asian, stage:Stage IIIA, dead, 278 days 286.4
TCGA-K7-A6G5-01A 66 years, male, white, stage:Stage I, alive, 512 days 285.4
TCGA-G3-A7M8-01A 31 years, male, asian, stage:Stage I, alive, 430 days 283.2
TCGA-G3-A3CI-01A 71 years, male, white, stage:Stage I, alive, 180 days 282.9
TCGA-G3-A5SM-01A 58 years, male, white, stage:Stage II, alive, 520 days 281.2
TCGA-DD-A3A8-01A 75 years, male, white, stage:Stage II, dead, 11 days 279.3
TCGA-LG-A9QC-01A 48 years, male, white, stage:Stage I, alive, 425 days 276.9
TCGA-NI-A8LF-01A 74 years, male, white, stage:Stage I, alive, 799 days 272.5
TCGA-DD-A4NP-01A 32 years, male, white, stage:Stage I, alive, 3308 days 269.8
TCGA-ZP-A9CV-01A 59 years, male, white, stage:'--, dead, 1088 days 269.2
TCGA-G3-A7M7-01A 65 years, male, white, stage:Stage I, alive, 361 days 268.5
TCGA-CC-A7IF-01A 59 years, male, asian, stage:Stage IIIA, dead, 649 days 264.2
TCGA-DD-AACT-01A 69 years, female, asian, stage:Stage I, alive, 1562 days 263.8
TCGA-2Y-A9HA-01A 70 years, male, white, stage:Stage II, dead, 36 days 261.4
TCGA-DD-A1ED-01A 68 years, male, white, stage:Stage I, alive, 2301 days 261.0
TCGA-GJ-A9DB-01A 68 years, male, white, stage:Stage I, dead, 67 days 259.9
TCGA-4R-AA8I-01A 66 years, male, white, stage:Stage II, dead, 262 days 259.5
TCGA-DD-A3A4-01A 37 years, male, white, stage:Stage IIIA, dead, 612 days 252.9
TCGA-CC-A3MC-01A 54 years, male, asian, stage:Stage IIIA, alive, 363 days 251.5
TCGA-DD-AAEA-01A 65 years, male, asian, stage:Stage I, alive, 575 days 250.2
TCGA-BD-A2L6-01A 69 years, male, white, stage:'--, alive, 1363 days 248.9
TCGA-UB-AA0U-01A 60 years, male, white, stage:Stage II, alive, 327 days 239.7
TCGA-RC-A7SB-01A 53 years, male, asian, stage:Stage II, alive, 588 days 235.2
TCGA-DD-A115-01A 53 years, male, white, stage:Stage IIIA, dead, 2542 days 234.6
TCGA-DD-A4NL-01A 46 years, male, white, stage:Stage I, alive, 1711 days 232.7
TCGA-WJ-A86L-01A 68 years, female, white, stage:Stage I, alive, 345 days 229.9
TCGA-DD-AACE-01A 62 years, male, asian, stage:Stage I, alive, 2184 days 228.8
TCGA-2Y-A9GU-01A 55 years, female, white, stage:Stage I, alive, 1939 days 227.9
TCGA-RC-A7SK-01A 59 years, male, asian, stage:Stage I, alive, 472 days 224.5
TCGA-DD-A11B-01A 73 years, male, white, stage:Stage I, dead, 14 days 222.4
TCGA-2Y-A9H9-01A 70 years, male, white, stage:Stage I, alive, 697 days 221.8
TCGA-BD-A3ER-01A 62 years, male, white, stage:Stage II, alive, 1115 days 218.9
TCGA-FV-A2QR-01A 75 years, male, white, stage:Stage I, dead, 581 days 215.9
TCGA-LG-A9QD-01A 68 years, male, white, stage:Stage IIIA, alive, 366 days 213.8
TCGA-K7-A5RF-01A 64 years, male, white, stage:Stage I, alive, 631 days 212.3
TCGA-MR-A520-01A 58 years, male, white, stage:Stage I, alive, 229 days 208.7
TCGA-NI-A4U2-01A 71 years, male, white, stage:Stage IIIA, dead, 1791 days 208.4
TCGA-DD-A73A-01A 71 years, male, white, stage:Stage I, alive, 728 days 202.7
TCGA-DD-AADU-01A 60 years, male, asian, stage:Stage II, alive, 554 days 200.6
TCGA-DD-A4NI-01A 67 years, male, white, stage:Stage II, alive, 816 days 193.6
TCGA-DD-AAVW-01A 35 years, male, asian, stage:Stage I, alive, 2317 days 142.8
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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.

RPS4X is potential prognostic, high expression is unfavorable 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.

: 1440.01
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 1538.1
Number of samples 231
Samples
Sample Description pTPM
DO45303 62 years, female, NA, stage:3, alive, 990 days 5699.8
DO45289 78 years, female, NA, stage:3, alive, 360 days 5323.2
DO48682 72 years, female, NA, stage:3, dead, 120 days 4965.2
DO45299 70 years, female, NA, stage:1, alive, 1440 days 4949.0
DO45307 54 years, female, NA, stage:4, dead, 240 days 4422.5
DO45097 69 years, male, NA, stage:3, alive, 1620 days 4201.4
DO45285 59 years, male, NA, stage:3, alive, 480 days 4069.5
DO45259 65 years, male, NA, stage:3, alive, 330 days 3986.4
DO45193 68 years, female, NA, stage:4, dead, 120 days 3685.6
DO45217 69 years, female, NA, stage:3, dead, 270 days 3629.0
DO48697 64 years, female, NA, stage:2, dead, 810 days 3602.1
DO45287 74 years, male, NA, stage:1, alive, 390 days 3588.8
DO45251 57 years, female, NA, stage:2, alive, 900 days 3539.2
DO48757 68 years, female, NA, stage:3, alive, 480 days 3417.1
DO50785 37 years, male, NA, stage:4, dead, 90 days 3397.0
DO50799 66 years, female, NA, stage:2, alive, 540 days 3119.4
DO45305 66 years, male, NA, stage:4, alive, 300 days 3099.5
DO23528 45 years, female, NA, stage:2, alive, 1020 days 3093.8
DO45297 61 years, female, NA, stage:4, dead, 1260 days 3001.6
DO45199 86 years, female, NA, stage:2, alive, 1350 days 2921.8
DO23530 53 years, male, NA, stage:4, dead, 180 days 2846.2
DO48736 76 years, female, NA, stage:1, alive, 600 days 2827.8
DO48737 52 years, male, NA, stage:1, alive, 720 days 2758.3
DO50855 47 years, male, NA, stage:2, alive, 570 days 2753.5
DO45203 71 years, female, NA, stage:2, alive, 1170 days 2653.6
DO45187 32 years, female, NA, stage:1, alive, 1260 days 2633.9
DO45283 60 years, male, NA, stage:3, alive, 510 days 2603.7
DO45249 57 years, male, NA, stage:1, alive, 630 days 2577.9
DO45221 75 years, female, NA, stage:4, dead, 390 days 2532.7
DO50783 62 years, male, NA, stage:3, alive, 480 days 2517.4
DO45205 67 years, female, NA, stage:2, dead, 90 days 2509.7
DO48715 58 years, female, NA, stage:2, dead, 690 days 2437.6
DO45093 71 years, male, NA, stage:2, dead, 720 days 2413.8
DO23545 67 years, male, NA, stage:2, dead, 570 days 2411.5
DO45127 73 years, male, NA, stage:3, dead, 420 days 2386.3
DO45189 85 years, female, NA, stage:2, alive, 1200 days 2385.0
DO45183 72 years, female, NA, stage:2, dead, 570 days 2357.3
DO50859 77 years, male, NA, stage:2, alive, 180 days 2319.8
DO50820 77 years, female, NA, stage:3, alive, 510 days 2297.1
DO45279 67 years, male, NA, stage:3, alive, 1290 days 2138.0
DO48747 62 years, male, NA, stage:3, alive, 540 days 2118.2
DO50832 73 years, male, NA, stage:3, alive, 90 days 2075.5
DO23515 71 years, male, NA, stage:2, alive, 1230 days 2070.8
DO48728 74 years, female, NA, stage:2, alive, 150 days 2050.3
DO45095 66 years, male, NA, stage:2, alive, 1620 days 2023.4
DO45239 42 years, male, NA, stage:2, alive, 870 days 2018.2
DO48720 62 years, female, NA, stage:2, alive, 570 days 1992.9
DO45161 74 years, male, NA, stage:2, dead, 540 days 1991.9
DO50806 70 years, male, NA, stage:4, alive, 540 days 1987.6
DO45219 78 years, male, NA, stage:2, alive, 1080 days 1987.1
DO45171 56 years, male, NA, stage:3, alive, 600 days 1985.0
DO48727 81 years, female, NA, stage:2, dead, 390 days 1980.0
DO23516 69 years, male, NA, stage:3, dead, 20 days 1960.8
DO45211 76 years, male, NA, stage:3, alive, 240 days 1948.1
DO23513 76 years, male, NA, stage:3, alive, 1200 days 1906.2
DO48706 72 years, male, NA, stage:2, alive, 870 days 1883.8
DO23537 79 years, male, NA, stage:2, dead, 900 days 1883.0
DO48721 58 years, female, NA, stage:1, alive, 900 days 1876.7
DO45191 61 years, female, NA, stage:2, alive, 1200 days 1873.1
DO23521 63 years, male, NA, stage:3, alive, 1110 days 1797.5
DO50814 83 years, male, NA, stage:3, alive, 420 days 1792.3
DO50805 72 years, male, NA, stage:2, alive, 690 days 1742.0
DO45247 31 years, female, NA, stage:2, alive, 210 days 1739.4
DO45149 70 years, female, NA, stage:2, alive, 1260 days 1738.7
DO45273 62 years, male, NA, stage:2, alive, 480 days 1722.6
DO23514 64 years, male, NA, stage:2, alive, 1290 days 1721.6
DO48730 73 years, female, NA, stage:2, alive, 630 days 1708.8
DO48723 73 years, male, NA, stage:1, alive, 600 days 1706.3
DO45243 74 years, female, NA, stage:3, alive, 930 days 1704.2
DO45275 65 years, male, NA, stage:3, dead, 10 days 1703.9
DO50839 47 years, female, NA, stage:3, alive, 330 days 1697.7
DO45135 77 years, male, NA, stage:1, alive, 1410 days 1689.8
DO50825 70 years, male, NA, stage:2, alive, 390 days 1681.4
DO48751 68 years, male, NA, stage:2, dead, 480 days 1677.6
DO50844 75 years, male, NA, stage:4, alive, 300 days 1670.2
DO23519 65 years, male, NA, stage:3, alive, 630 days 1653.4
DO45145 78 years, male, NA, stage:3, dead, 60 days 1650.8
DO23511 83 years, female, NA, stage:3, dead, 180 days 1632.2
DO45179 78 years, female, NA, stage:2, alive, 600 days 1612.4
DO45265 73 years, male, NA, stage:3, alive, 1020 days 1603.4
DO50817 75 years, male, NA, stage:2, alive, 390 days 1588.1
DO23510 80 years, female, NA, stage:2, alive, 870 days 1578.4
DO45173 63 years, male, NA, stage:3, alive, 1170 days 1571.7
DO23548 78 years, female, NA, stage:1, alive, 840 days 1553.2
DO50793 76 years, male, NA, stage:4, alive, 540 days 1544.2
DO23508 79 years, female, NA, stage:2, alive, 390 days 1539.5
DO45117 73 years, female, NA, stage:2, dead, 1110 days 1532.0
DO45261 74 years, male, NA, stage:3, alive, 990 days 1525.9
DO45277 64 years, male, NA, stage:3, alive, 600 days 1505.2
DO23523 52 years, male, NA, stage:3, alive, 1080 days 1501.2
DO50798 77 years, male, NA, stage:3, dead, 30 days 1497.3
DO50857 72 years, male, NA, stage:2, alive, 210 days 1495.7
DO45301 56 years, male, NA, stage:2, dead, 1440 days 1484.5
DO23547 74 years, male, NA, stage:1, alive, 1020 days 1476.7
DO45267 73 years, male, NA, stage:3, dead, 570 days 1470.2
DO50791 79 years, female, NA, stage:1, dead, 480 days 1446.1
DO48712 50 years, male, NA, stage:2, alive, 810 days 1433.9
DO48681 57 years, male, NA, stage:2, alive, 900 days 1432.7
DO50802 49 years, male, NA, stage:2, alive, 930 days 1420.6
DO45141 73 years, male, NA, stage:2, alive, 1320 days 1389.8
DO45231 84 years, male, NA, stage:2, alive, 930 days 1386.1
DO45103 47 years, male, NA, stage:3, alive, 450 days 1378.2
DO45213 58 years, male, NA, stage:1, alive, 1200 days 1364.2
DO45225 69 years, male, NA, stage:1, alive, 1050 days 1364.2
DO48700 78 years, female, NA, stage:2, alive, 810 days 1362.3
DO45185 89 years, male, NA, stage:2, alive, 600 days 1355.3
DO45175 74 years, male, NA, stage:2, alive, 1140 days 1354.6
DO23536 56 years, male, NA, stage:2, alive, 930 days 1349.4
DO45177 81 years, female, NA, stage:3, alive, 1260 days 1347.3
DO45165 75 years, male, NA, stage:2, alive, 690 days 1330.9
DO23526 66 years, male, NA, stage:3, alive, 1050 days 1320.5
DO50815 62 years, male, NA, stage:3, alive, 150 days 1315.1
DO50811 62 years, male, NA, stage:1, alive, 450 days 1313.4
DO50778 60 years, male, NA, stage:4, alive, 630 days 1310.9
DO23542 66 years, male, NA, stage:3, alive, 960 days 1305.1
DO45139 63 years, male, NA, stage:3, alive, 1320 days 1303.2
DO50809 56 years, male, NA, stage:3, dead, 720 days 1298.7
DO45123 78 years, female, NA, stage:2, dead, 570 days 1277.1
DO45281 83 years, male, NA, stage:4, alive, 750 days 1276.3
DO48672 81 years, male, NA, stage:2, alive, 450 days 1271.0
DO45209 70 years, male, NA, stage:4, alive, 1350 days 1260.9
DO48732 73 years, male, NA, stage:3, alive, 630 days 1252.2
DO227801 77 years, female, NA, stage:1, alive, 660 days 1251.1
DO50774 68 years, female, NA, stage:2, alive, 720 days 1243.7
DO48733 72 years, male, NA, stage:2, alive, 600 days 1243.2
DO50800 74 years, male, NA, stage:2, alive, 510 days 1241.8
DO45181 84 years, female, NA, stage:2, alive, 1200 days 1228.9
DO45159 65 years, male, NA, stage:3, alive, 1470 days 1225.3
DO45245 75 years, female, NA, stage:2, dead, 240 days 1220.0
DO50789 73 years, female, NA, stage:2, alive, 570 days 1217.2
DO45091 56 years, male, NA, stage:2, dead, 1320 days 1212.0
DO45153 77 years, female, NA, stage:2, alive, 1380 days 1207.9
DO48677 58 years, male, NA, stage:3, alive, 1140 days 1204.1
DO23543 63 years, male, NA, stage:2, alive, 1020 days 1187.8
DO45155 69 years, male, NA, stage:2, alive, 2160 days 1173.8
DO45157 62 years, male, NA, stage:2, alive, 1980 days 1169.4
DO48725 66 years, male, NA, stage:1, alive, 780 days 1154.3
DO48704 68 years, female, NA, stage:3, alive, 750 days 1153.1
DO50819 72 years, female, NA, stage:2, alive, 510 days 1139.4
DO45269 59 years, male, NA, stage:3, alive, 750 days 1136.7
DO50822 66 years, male, NA, stage:2, alive, 510 days 1134.6
DO23552 80 years, female, NA, stage:1, alive, 810 days 1132.5
DO45237 58 years, male, NA, stage:2, alive, 900 days 1132.2
DO45235 68 years, female, NA, stage:1, alive, 900 days 1128.6
DO45253 50 years, male, NA, stage:2, alive, 870 days 1117.3
DO50803 62 years, female, NA, stage:1, alive, 540 days 1105.1
DO45099 46 years, male, NA, stage:3, alive, 1590 days 1088.8
DO45229 74 years, male, NA, stage:1, alive, 990 days 1083.9
DO23533 61 years, male, NA, stage:2, alive, 900 days 1080.6
DO50845 72 years, male, NA, stage:3, alive, 210 days 1076.3
DO45121 61 years, male, NA, stage:3, alive, 1530 days 1053.8
DO50829 78 years, male, NA, stage:3, alive, 570 days 1051.2
DO48759 73 years, male, NA, stage:3, alive, 720 days 1047.2
DO48741 64 years, male, NA, stage:3, alive, 240 days 1032.9
DO45255 81 years, male, NA, stage:3, alive, 720 days 1029.0
DO45233 83 years, male, NA, stage:3, alive, 900 days 1028.9
DO45201 49 years, male, NA, stage:1, alive, 900 days 1021.8
DO23531 78 years, female, NA, stage:3, alive, 900 days 990.8
DO23524 71 years, female, NA, stage:2, alive, 1050 days 988.2
DO45113 58 years, male, NA, stage:3, alive, 1560 days 965.8
DO50776 75 years, male, NA, stage:1, alive, 690 days 964.5
DO45241 49 years, male, NA, stage:1, alive, 1080 days 964.5
DO48719 80 years, male, NA, stage:2, alive, 690 days 962.2
DO23549 74 years, male, NA, stage:3, alive, 990 days 951.6
DO45109 63 years, male, NA, stage:2, alive, 1590 days 947.0
DO48746 76 years, male, NA, stage:3, alive, 570 days 942.3
DO45223 67 years, male, NA, stage:4, alive, 1020 days 941.4
DO45137 38 years, male, NA, stage:1, alive, 1320 days 929.1
DO48743 69 years, female, NA, stage:2, alive, 570 days 925.2
DO45119 74 years, male, NA, stage:3, dead, 510 days 923.6
DO23518 67 years, male, NA, stage:2, alive, 1320 days 916.8
DO48693 71 years, male, NA, stage:2, alive, 900 days 915.0
DO50816 63 years, male, NA, stage:2, alive, 390 days 909.4
DO45163 76 years, male, NA, stage:2, alive, 960 days 900.7
DO23535 67 years, male, NA, stage:1, alive, 960 days 900.1
DO45092 62 years, male, NA, stage:4, dead, 1200 days 899.3
DO45257 46 years, male, NA, stage:3, alive, 810 days 887.1
DO48695 77 years, male, NA, stage:2, alive, 720 days 877.7
DO45143 69 years, male, NA, stage:3, alive, 1290 days 858.8
DO48717 54 years, male, NA, stage:4, dead, 180 days 858.4
DO23525 71 years, male, NA, stage:4, alive, 1050 days 846.3
DO50804 81 years, male, NA, stage:2, alive, 720 days 835.8
DO23546 63 years, male, NA, stage:2, alive, 1050 days 830.9
DO23538 67 years, male, NA, stage:2, alive, 450 days 825.8
DO50850 74 years, male, NA, stage:3, alive, 720 days 822.5
DO45131 53 years, male, NA, stage:4, dead, 360 days 820.0
DO23529 72 years, male, NA, stage:4, alive, 930 days 816.6
DO23534 60 years, male, NA, stage:2, alive, 840 days 810.7
DO23541 65 years, male, NA, stage:2, alive, 930 days 804.9
DO48760 70 years, female, NA, stage:2, alive, 690 days 799.7
DO45227 57 years, female, NA, stage:2, alive, 1020 days 792.1
DO50787 63 years, male, NA, stage:3, alive, 480 days 769.3
DO45263 67 years, male, NA, stage:3, dead, 270 days 767.2
DO45207 68 years, male, NA, stage:1, alive, 1050 days 752.2
DO50813 56 years, male, NA, stage:2, alive, 420 days 737.2
DO45115 81 years, male, NA, stage:2, alive, 840 days 734.0
DO48679 72 years, male, NA, stage:2, alive, 1200 days 729.6
DO50808 68 years, male, NA, stage:2, alive, 570 days 722.7
DO45096 69 years, male, NA, stage:2, dead, 1290 days 715.6
DO45169 74 years, male, NA, stage:3, alive, 1350 days 714.3
DO23544 67 years, male, NA, stage:2, alive, 960 days 705.7
DO23527 72 years, male, NA, stage:1, alive, 1050 days 682.6
DO50818 65 years, male, NA, stage:2, alive, 510 days 680.5
DO50807 67 years, male, NA, stage:1, alive, 540 days 677.2
DO48761 55 years, male, NA, stage:2, alive, 870 days 673.9
DO23551 73 years, male, NA, stage:3, dead, 150 days 672.6
DO227643 79 years, male, NA, stage:2, alive, 1260 days 672.2
DO23539 77 years, male, NA, stage:1, alive, 1110 days 670.9
DO23509 60 years, male, NA, stage:3, dead, 780 days 665.2
DO48742 76 years, male, NA, stage:2, alive, 600 days 656.9
DO45129 61 years, male, NA, stage:3, alive, 1470 days 655.0
DO45107 63 years, female, NA, stage:2, alive, 1710 days 642.3
DO48674 80 years, male, NA, stage:2, alive, 1260 days 620.7
DO48716 71 years, male, NA, stage:2, alive, 720 days 617.3
DO50840 49 years, male, NA, stage:2, alive, 330 days 605.8
DO48701 78 years, male, NA, stage:2, alive, 780 days 604.7
DO23540 73 years, male, NA, stage:1, alive, 750 days 598.1
DO23550 69 years, male, NA, stage:1, alive, 990 days 592.8
DO45094 76 years, male, NA, stage:3, alive, 1650 days 571.4
DO23517 62 years, male, NA, stage:2, alive, 1200 days 568.4
DO45111 74 years, male, NA, stage:2, alive, 1590 days 543.9
DO23512 60 years, male, NA, stage:1, alive, 1260 days 541.7
DO23532 71 years, female, NA, stage:1, alive, 960 days 539.4
DO45215 65 years, male, NA, stage:2, alive, 1170 days 514.1
DO45197 51 years, male, NA, stage:2, alive, 1170 days 511.8
DO45133 64 years, male, NA, stage:3, dead, 660 days 500.9
DO45195 62 years, male, NA, stage:1, alive, 390 days 459.9
DO45125 58 years, male, NA, stage:3, alive, 1680 days 450.1
DO45105 61 years, male, NA, stage:1, alive, 1680 days 420.7
DO45101 63 years, male, NA, stage:2, alive, 1680 days 368.5
DO45167 67 years, male, NA, stage:2, dead, 1440 days 282.8
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LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples 330
Samples
Sample ID Sample type nRPX
557 Tumor 0.7
567 Tumor 0.5
537 Tumor 0.5
367 Tumor 0.5
815 Tumor 0.4
1021 Tumor 0.4
965 Tumor 0.4
661 Tumor 0.4
393 Tumor 0.4
223 Tumor 0.4
851 Tumor 0.4
327 Tumor 0.4
481 Tumor 0.4
685 Tumor 0.3
743 Tumor 0.3
1027 Tumor 0.3
285 Tumor 0.3
745 Tumor 0.3
331 Tumor 0.3
738 Normal 0.3
955 Tumor 0.3
636 Normal 0.3
727 Tumor 0.3
385 Tumor 0.3
395 Tumor 0.2
713 Tumor 0.2
467 Tumor 0.2
135 Tumor 0.2
724 Normal 0.2
1025 Tumor 0.2
967 Tumor 0.2
387 Tumor 0.2
113 Tumor 0.2
777 Tumor 0.2
723 Tumor 0.2
218 Normal 0.2
617 Tumor 0.2
746 Normal 0.2
865 Tumor 0.2
413 Tumor 0.2
527 Tumor 0.2
131 Tumor 0.2
497 Tumor 0.2
573 Tumor 0.2
616 Normal 0.2
227 Tumor 0.2
937 Tumor 0.2
554 Normal 0.2
571 Tumor 0.2
983 Tumor 0.2
443 Tumor 0.2
277 Tumor 0.2
923 Tumor 0.2
217 Tumor 0.2
697 Tumor 0.2
214 Normal 0.2
545 Tumor 0.2
313 Tumor 0.2
671 Tumor 0.2
1026 Normal 0.2
353 Tumor 0.2
647 Tumor 0.2
778 Normal 0.2
191 Tumor 0.2
648 Normal 0.2
546 Normal 0.2
267 Tumor 0.2
968 Normal 0.2
484 Normal 0.2
698 Normal 0.2
1044 Normal 0.2
314 Normal 0.2
665 Tumor 0.2
195 Tumor 0.2
957 Tumor 0.2
332 Normal 0.1
231 Tumor 0.1
533 Tumor 0.1
172 Normal 0.1
136 Normal 0.1
1028 Normal 0.1
257 Tumor 0.1
824 Normal 0.1
278 Normal 0.1
523 Tumor 0.1
488 Normal 0.1
858 Normal 0.1
222 Normal 0.1
852 Normal 0.1
922 Normal 0.1
187 Tumor 0.1
742 Normal 0.1
696 Normal 0.1
425 Tumor 0.1
535 Tumor 0.1
421 Tumor 0.1
431 Tumor 0.1
212 Normal 0.1
426 Normal 0.1
737 Tumor 0.1
924 Normal 0.1
147 Tumor 0.1
635 Tumor 0.1
926 Normal 0.1
171 Tumor 0.1
434 Normal 0.1
966 Normal 0.1
213 Tumor 0.1
462 Normal 0.1
186 Normal 0.1
528 Normal 0.1
728 Normal 0.1
445 Tumor 0.1
433 Tumor 0.1
312 Normal 0.1
534 Normal 0.1
663 Tumor 0.1
518 Normal 0.1
1022 Normal 0.1
756 Normal 0.1
1043 Tumor 0.1
981 Tumor 0.1
494 Normal 0.1
628 Normal 0.1
817 Tumor 0.1
918 Normal 0.1
286 Normal 0.1
232 Normal 0.1
964 Normal 0.1
524 Normal 0.1
818 Normal 0.1
351 Tumor 0.1
185 Tumor 0.1
944 Normal 0.1
452 Normal 0.1
298 Normal 0.1
952 Normal 0.1
714 Normal 0.1
786 Normal 0.1
228 Normal 0.1
448 Normal 0.1
526 Normal 0.1
664 Normal 0.1
864 Normal 0.1
913 Tumor 0.1
114 Normal 0.1
132 Normal 0.1
392 Normal 0.1
451 Tumor 0.1
137 Tumor 0.1
915 Tumor 0.1
686 Normal 0.1
472 Normal 0.1
196 Normal 0.1
128 Normal 0.1
722 Normal 0.1
342 Normal 0.1
951 Tumor 0.1
873 Tumor 0.1
414 Normal 0.1
447 Tumor 0.1
572 Normal 0.1
344 Normal 0.1
525 Tumor 0.1
436 Normal 0.1
162 Normal 0.1
553 Tumor 0.1
211 Tumor 0.1
568 Normal 0.1
1015 Tumor 0.1
956 Normal 0.1
394 Normal 0.1
463 Tumor 0.1
984 Normal 0.1
642 Normal 0.1
721 Tumor 0.1
112 Tumor 0.1
816 Normal 0.0
963 Tumor 0.0
1031 Tumor 0.0
958 Normal 0.0
221 Tumor 0.0
615 Tumor 0.0
432 Normal 0.0
755 Tumor 0.0
564 Normal 0.0
474 Normal 0.0
145 Tumor 0.0
978 Normal 0.0
1032 Normal 0.0
422 Normal 0.0
427 Tumor 0.0
536 Normal 0.0
363 Tumor 0.0
558 Normal 0.0
111 Normal 0.0
715 Tumor 0.0
1014 Normal 0.0
126 Normal 0.0
138 Normal 0.0
482 Normal 0.0
912 Normal 0.0
982 Normal 0.0
271 Tumor 0.0
411 Tumor 0.0
618 Normal 0.0
1042 Normal 0.0
1016 Normal 0.0
455 Tumor 0.0
258 Normal 0.0
862 Normal 0.0
412 Normal 0.0
435 Tumor 0.0
375 Tumor 0.0
376 Normal 0.0
492 Normal 0.0
328 Normal 0.0
857 Tumor 0.0
466 Normal 0.0
362 Normal 0.0
487 Tumor 0.0
861 Tumor 0.0
866 Normal 0.0
356 Normal 0.0
386 Normal 0.0
446 Normal 0.0
666 Normal 0.0
142 Normal 0.0
357 Tumor 0.0
925 Tumor 0.0
538 Normal 0.0
514 Normal 0.0
1046 Normal 0.0
515 Tumor 0.0
695 Tumor 0.0
358 Normal 0.0
662 Normal 0.0
148 Normal 0.0
516 Normal 0.0
916 Normal 0.0
388 Normal 0.0
284 Normal 0.0
396 Normal 0.0
464 Normal 0.0
391 Tumor 0.0
272 Normal 0.0
343 Tumor 0.0
882 Normal 0.0
355 Tumor 0.0
785 Tumor 0.0
352 Normal 0.0
424 Normal 0.0
262 Normal 0.0
283 Tumor 0.0
493 Tumor 0.0
513 Tumor 0.0
744 Normal 0.0
124 Normal 0.0
921 Tumor 0.0
716 Normal 0.0
938 Normal 0.0
672 Normal 0.0
953 Tumor 0.0
423 Tumor 0.0
477 Tumor 0.0
125 Tumor 0.0
468 Normal 0.0
478 Normal 0.0
188 Normal 0.0
268 Normal 0.0
461 Tumor 0.0
878 Normal 0.0
976 Normal 0.0
146 Normal 0.0
456 Normal 0.0
877 Tumor 0.0
881 Tumor 0.0
361 Tumor 0.0
641 Tumor -0.1
884 Normal -0.1
943 Tumor -0.1
813 Tumor -0.1
428 Normal -0.1
823 Tumor -0.1
161 Tumor -0.1
297 Tumor -0.1
224 Normal -0.1
123 Tumor -0.1
354 Normal -0.1
883 Tumor -0.1
483 Tumor -0.1
975 Tumor -0.1
341 Tumor -0.1
365 Tumor -0.1
192 Normal -0.1
814 Normal -0.1
574 Normal -0.1
471 Tumor -0.1
563 Tumor -0.1
141 Tumor -0.1
127 Tumor -0.1
954 Normal -0.1
874 Normal -0.1
917 Tumor -0.1
261 Tumor -0.1
473 Tumor -0.1
465 Tumor -0.1
914 Normal -0.1
364 Normal -0.1
491 Tumor -0.1
1013 Tumor -0.1
368 Normal -0.1
868 Normal -0.1
366 Normal -0.1
444 Normal -0.1
1041 Tumor -0.1
415 Tumor -0.2
498 Normal -0.2
627 Tumor -0.2
517 Tumor -0.2
384 Normal -0.2
416 Normal -0.2
867 Tumor -0.2
383 Tumor -0.2
977 Tumor -0.2
911 Tumor -0.2
311 Tumor -0.2
741 Tumor -0.2
863 Tumor -0.2
1045 Tumor -0.3
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 HPA000857
 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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