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RPL8
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  • SUMMARY

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  • RPL8
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
AND
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.

RPL8 is validated prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (TCGA)


Stage:


Survival analysis
Current cut offi

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

:
Best expression cut offi

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

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

: 577.54
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 808.8
Number of samples 362
Samples
Sample Description pTPM
TCGA-CC-A7II-01A 54 years, male, asian, stage:Stage IIIA, alive, 399 days 8122.3
TCGA-RC-A6M6-01A 75 years, male, white, stage:Stage II, alive, 9 days 5329.3
TCGA-ED-A8O6-01A 50 years, female, asian, stage:Stage IIIA, dead, 56 days 3395.0
TCGA-CC-5258-01A 48 years, male, asian, stage:Stage II, dead, 129 days 3075.8
TCGA-DD-A3A3-01A 45 years, male, asian, stage:Stage I, dead, 535 days 2422.4
TCGA-YA-A8S7-01A 68 years, male, white, stage:Stage IIIA, dead, 412 days 2412.4
TCGA-BC-A69H-01A 64 years, male, white, stage:Stage II, alive, 444 days 2403.7
TCGA-DD-A39Y-01A 67 years, male, asian, stage:Stage I, dead, 171 days 2402.6
TCGA-DD-A39X-01A 78 years, female, white, stage:Stage I, dead, 1694 days 2268.1
TCGA-ED-A66X-01A 35 years, male, asian, stage:Stage IIIA, alive, 406 days 2142.8
TCGA-5C-A9VG-01A 58 years, male, white, stage:Stage II, alive, 328 days 2070.4
TCGA-FV-A4ZQ-01A 52 years, male, white, stage:Stage I, alive, 12 days 2046.2
TCGA-CC-A7IE-01A 57 years, male, asian, stage:Stage IIIA, dead, 217 days 1962.0
TCGA-CC-A5UE-01A 48 years, male, asian, stage:Stage IIIB, dead, 272 days 1957.9
TCGA-G3-A7M9-01A 70 years, male, white, stage:Stage IIIB, dead, 56 days 1901.4
TCGA-DD-AACA-01A 65 years, male, asian, stage:Stage I, alive, 2301 days 1876.5
TCGA-G3-AAV5-01A 67 years, male, white, stage:Stage II, alive, 354 days 1840.7
TCGA-DD-A1EF-01A 57 years, female, white, stage:Stage I, dead, 394 days 1834.5
TCGA-FV-A3I0-01A 76 years, female, white, stage:Stage II, alive, 848 days 1832.8
TCGA-KR-A7K7-01A 61 years, female, white, stage:Stage II, alive, 951 days 1808.5
TCGA-DD-AACN-01A 32 years, male, asian, stage:Stage I, alive, 1302 days 1770.8
TCGA-DD-AAW2-01A 69 years, male, asian, stage:Stage I, alive, 1855 days 1762.4
TCGA-K7-AAU7-01A 61 years, male, white, stage:Stage II, alive, 359 days 1700.0
TCGA-ZS-A9CG-01A 55 years, male, white, stage:Stage II, alive, 341 days 1699.5
TCGA-CC-5260-01A 61 years, female, asian, stage:Stage IIIC, dead, 87 days 1667.8
TCGA-DD-AAEI-01A 72 years, male, asian, stage:Stage I, alive, 1531 days 1653.0
TCGA-DD-AAVU-01A 46 years, male, asian, stage:Stage II, alive, 2202 days 1644.0
TCGA-G3-AAV6-01A 53 years, female, white, stage:Stage IIIA, dead, 65 days 1607.6
TCGA-G3-A7M7-01A 65 years, male, white, stage:Stage I, alive, 361 days 1604.8
TCGA-DD-AACY-01A 61 years, male, asian, stage:Stage I, alive, 1450 days 1579.0
TCGA-RC-A7SF-01A 66 years, male, asian, stage:Stage I, alive, 579 days 1566.8
TCGA-CC-A1HT-01A 50 years, male, asian, stage:Stage IIIA, dead, 101 days 1556.8
TCGA-RG-A7D4-01A 69 years, male, black or african american, stage:Stage II, alive, 1098 days 1540.3
TCGA-DD-AAD1-01A 51 years, female, asian, stage:Stage I, alive, 564 days 1534.3
TCGA-GJ-A3OU-01A 59 years, male, white, stage:Stage I, alive, 879 days 1526.2
TCGA-DD-A1EI-01A 46 years, male, asian, stage:Stage I, alive, 183 days 1524.9
TCGA-UB-A7MA-01A 62 years, female, white, stage:Stage II, alive, 848 days 1509.7
TCGA-CC-A7IK-01A 59 years, male, asian, stage:Stage IIIA, dead, 262 days 1495.7
TCGA-ED-A82E-01A 60 years, female, asian, stage:Stage IIIA, alive, 408 days 1494.1
TCGA-G3-A5SJ-01A 59 years, male, white, stage:Stage I, alive, 698 days 1477.2
TCGA-UB-A7MB-01A 24 years, male, white, stage:Stage II, alive, 601 days 1456.8
TCGA-DD-AADP-01A 45 years, male, asian, stage:Stage I, alive, 458 days 1439.5
TCGA-CC-A9FS-01A 55 years, male, asian, stage:Stage II, alive, 211 days 1437.1
TCGA-MI-A75I-01A 61 years, male, black or african american, stage:'--, alive, 630 days 1432.8
TCGA-G3-A7M6-01A 60 years, female, white, stage:Stage I, alive, 632 days 1431.5
TCGA-CC-A7IJ-01A 56 years, male, asian, stage:Stage II, alive, 382 days 1418.5
TCGA-ED-A8O5-01A 59 years, female, asian, stage:Stage IIIA, alive, 406 days 1417.8
TCGA-DD-AA3A-01A 81 years, female, white, stage:Stage I, dead, 410 days 1388.0
TCGA-CC-A7IG-01A 47 years, male, asian, stage:Stage II, dead, 299 days 1358.8
TCGA-DD-AACB-01A 74 years, female, asian, stage:Stage I, alive, 2324 days 1349.6
TCGA-DD-AADD-01A 51 years, male, asian, stage:Stage I, alive, 1231 days 1347.8
TCGA-MI-A75C-01A 64 years, male, white, stage:Stage I, alive, 291 days 1347.4
TCGA-DD-AACP-01A 64 years, male, asian, stage:Stage I, alive, 415 days 1332.7
TCGA-UB-A7ME-01A 51 years, male, asian, stage:Stage I, alive, 486 days 1330.6
TCGA-CC-5262-01A 67 years, male, asian, stage:Stage IIIC, dead, 103 days 1313.5
TCGA-DD-AADB-01A 51 years, male, asian, stage:Stage I, alive, 1242 days 1304.0
TCGA-CC-A9FW-01A 68 years, male, asian, stage:Stage IIIA, alive, 248 days 1293.5
TCGA-CC-A3M9-01A 45 years, male, asian, stage:Stage IIIA, dead, 300 days 1284.7
TCGA-DD-AACJ-01A 75 years, male, asian, stage:Stage II, alive, 2102 days 1280.8
TCGA-CC-A3MA-01A 61 years, male, asian, stage:Stage IIIA, dead, 303 days 1280.2
TCGA-ED-A66Y-01A 51 years, female, asian, stage:Stage IIIA, dead, 296 days 1279.9
TCGA-G3-A25T-01A 45 years, female, white, stage:Stage IIIA, alive, 1553 days 1271.5
TCGA-DD-A1EE-01A 73 years, male, white, stage:Stage IIIA, dead, 349 days 1256.8
TCGA-2Y-A9GW-01A 64 years, male, white, stage:Stage I, dead, 1271 days 1253.7
TCGA-2Y-A9H1-01A 58 years, male, white, stage:Stage I, dead, 1229 days 1251.8
TCGA-DD-AADN-01A 59 years, male, asian, stage:Stage I, alive, 898 days 1234.9
TCGA-5C-A9VH-01A 70 years, male, white, stage:Stage I, alive, 322 days 1231.8
TCGA-RC-A6M4-01A 74 years, female, white, stage:Stage IIIA, alive, 22 days 1222.8
TCGA-DD-AAEG-01A 59 years, female, asian, stage:Stage I, alive, 719 days 1212.7
TCGA-2Y-A9HA-01A 70 years, male, white, stage:Stage II, dead, 36 days 1210.4
TCGA-DD-AAC8-01A 72 years, male, asian, stage:Stage I, dead, 16 days 1206.8
TCGA-BC-A10W-01A 50 years, male, asian, stage:'--, dead, 91 days 1205.2
TCGA-UB-A7MD-01A 67 years, male, black or african american, stage:Stage I, dead, 52 days 1203.0
TCGA-DD-AAVS-01A 56 years, male, asian, stage:Stage I, alive, 1823 days 1195.2
TCGA-EP-A3JL-01A 76 years, male, white, stage:Stage I, alive, 303 days 1189.4
TCGA-G3-AAV7-01A 38 years, male, asian, stage:Stage II, alive, 361 days 1163.8
TCGA-O8-A75V-01A 54 years, male, stage:Stage I, alive, 538 days 1147.7
TCGA-DD-AAVZ-01A 38 years, male, asian, stage:Stage I, alive, 1900 days 1142.8
TCGA-EP-A2KC-01A 62 years, male, black or african american, stage:Stage I, dead, 19 days 1132.9
TCGA-DD-AAVY-01A 56 years, male, asian, stage:Stage IIIA, alive, 1970 days 1128.8
TCGA-ZS-A9CD-01A 73 years, male, white, stage:Stage II, dead, 1386 days 1123.5
TCGA-MR-A8JO-01A 34 years, male, white, stage:Stage I, alive, 330 days 1114.4
TCGA-2Y-A9GY-01A 64 years, female, white, stage:Stage II, dead, 757 days 1111.5
TCGA-K7-A6G5-01A 66 years, male, white, stage:Stage I, alive, 512 days 1109.4
TCGA-DD-AAD2-01A 66 years, male, asian, stage:Stage I, alive, 658 days 1105.4
TCGA-DD-AAW3-01A 69 years, male, asian, stage:Stage I, alive, 1633 days 1098.3
TCGA-ED-A97K-01A 54 years, male, asian, stage:Stage IIIA, alive, 6 days 1095.5
TCGA-FV-A3I1-01A 81 years, female, white, stage:Stage II, dead, 247 days 1095.3
TCGA-3K-AAZ8-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 396 days 1086.8
TCGA-EP-A12J-01A 62 years, male, black or african american, stage:Stage I, alive, 570 days 1078.5
TCGA-CC-5261-01A 44 years, male, asian, stage:Stage II, dead, 97 days 1078.5
TCGA-DD-A4NN-01A 56 years, female, white, stage:Stage I, dead, 899 days 1053.6
TCGA-DD-AACZ-01A 63 years, female, asian, stage:Stage I, dead, 171 days 1049.3
TCGA-ED-A7XP-01A 53 years, female, asian, stage:Stage II, alive, 400 days 1039.8
TCGA-G3-AAV1-01A 51 years, male, asian, stage:Stage IIIC, dead, 359 days 1037.4
TCGA-ED-A5KG-01A 60 years, female, asian, stage:Stage II, alive, 854 days 1026.8
TCGA-ED-A7PZ-01A 61 years, male, asian, stage:Stage II, alive, 6 days 1025.8
TCGA-BC-A112-01A 80 years, male, white, stage:'--, dead, 153 days 1011.7
TCGA-WQ-A9G7-01A 71 years, female, white, stage:'--, alive, 30 days 991.1
TCGA-CC-5264-01A 71 years, male, asian, stage:Stage IIIA, dead, 102 days 990.8
TCGA-2Y-A9H2-01A 64 years, female, white, stage:Stage I, alive, 1731 days 989.7
TCGA-CC-A3MB-01A 36 years, male, asian, stage:Stage IIIA, dead, 315 days 985.0
TCGA-DD-A1EL-01A 23 years, male, black or african american, stage:Stage II, dead, 415 days 959.1
TCGA-UB-A7MC-01A 59 years, male, white, stage:Stage IIIA, alive, 500 days 945.4
TCGA-DD-AACH-01A 69 years, male, asian, stage:Stage II, dead, 195 days 942.8
TCGA-CC-A5UD-01A 45 years, male, asian, stage:Stage IIIA, dead, 304 days 940.6
TCGA-DD-AAE1-01A 52 years, male, asian, stage:Stage I, alive, 552 days 921.8
TCGA-DD-AACL-01A 66 years, female, asian, stage:Stage I, dead, 107 days 920.4
TCGA-G3-A25X-01A 73 years, male, asian, stage:Stage II, alive, 1779 days 908.7
TCGA-CC-5263-01A 35 years, male, asian, stage:Stage IIIA, dead, 129 days 903.0
TCGA-ED-A459-01A 47 years, male, asian, stage:Stage II, alive, 910 days 901.7
TCGA-DD-AAVV-01A 56 years, male, asian, stage:Stage II, alive, 2455 days 889.4
TCGA-DD-AACW-01A 43 years, male, asian, stage:Stage I, alive, 1424 days 887.2
TCGA-DD-AADY-01A 55 years, female, asian, stage:Stage I, alive, 555 days 882.4
TCGA-MI-A75H-01A 77 years, male, white, stage:'--, alive, 747 days 875.8
TCGA-DD-A116-01A 68 years, male, asian, stage:Stage IIIA, dead, 1622 days 873.7
TCGA-EP-A2KA-01A 52 years, female, white, stage:Stage IIIA, dead, 627 days 873.3
TCGA-DD-A1EJ-01A 71 years, female, white, stage:Stage IIIC, dead, 1005 days 873.3
TCGA-FV-A2QQ-01A 80 years, male, white, stage:Stage I, alive, 729 days 868.2
TCGA-FV-A3R2-01A 75 years, male, white, stage:Stage I, dead, 194 days 860.9
TCGA-DD-AAW0-01A 54 years, male, asian, stage:Stage I, alive, 2015 days 847.9
TCGA-CC-A7IL-01A 61 years, male, asian, stage:Stage IIIA, dead, 278 days 837.7
TCGA-DD-AAEK-01A 51 years, male, asian, stage:Stage II, alive, 1067 days 837.4
TCGA-CC-A7IH-01A 58 years, male, asian, stage:Stage IIIA, alive, 365 days 835.9
TCGA-DD-A39Z-01A 43 years, female, stage:Stage II, dead, 601 days 834.7
TCGA-G3-A5SL-01A 70 years, male, white, stage:Stage II, alive, 621 days 829.7
TCGA-DD-A4NJ-01A 54 years, female, white, stage:Stage II, alive, 928 days 829.6
TCGA-FV-A496-01A 84 years, female, white, stage:Stage I, alive, 10 days 826.5
TCGA-2Y-A9H5-01A 59 years, female, white, stage:Stage I, dead, 555 days 817.0
TCGA-ED-A7PX-01A 48 years, female, asian, stage:Stage II, alive, 6 days 811.2
TCGA-BC-A10Q-01A 72 years, female, white, stage:'--, dead, 1135 days 808.4
TCGA-BC-A10S-01A 81 years, male, white, stage:'--, dead, 1423 days 807.9
TCGA-G3-AAUZ-01A 48 years, male, stage:Stage I, alive, 480 days 806.9
TCGA-DD-AAEE-01A 55 years, male, asian, stage:Stage I, alive, 810 days 804.1
TCGA-DD-A1EC-01A 20 years, female, white, stage:Stage I, alive, 602 days 802.4
TCGA-CC-A8HT-01A 74 years, male, asian, stage:Stage IIIA, dead, 140 days 798.3
TCGA-DD-A4NR-01A 85 years, female, white, stage:Stage I, dead, 9 days 796.4
TCGA-CC-A3MC-01A 54 years, male, asian, stage:Stage IIIA, alive, 363 days 794.6
TCGA-DD-A1EG-01A 76 years, male, white, stage:Stage I, dead, 1372 days 793.7
TCGA-DD-A114-01A 42 years, male, black or african american, stage:Stage II, dead, 1149 days 792.6
TCGA-DD-A1EH-01A 23 years, male, white, stage:Stage III, alive, 1495 days 790.9
TCGA-DD-A73E-01A 66 years, male, white, stage:Stage I, alive, 44 days 782.3
TCGA-2Y-A9GS-01A 58 years, male, white, stage:'--, dead, 724 days 756.8
TCGA-DD-A113-01A 55 years, female, white, stage:Stage II, alive, 2425 days 755.4
TCGA-DD-AADW-01A 48 years, male, asian, stage:Stage I, alive, 587 days 754.7
TCGA-CC-A5UC-01A 63 years, male, asian, stage:Stage IIIA, dead, 347 days 752.4
TCGA-EP-A3RK-01A 73 years, male, white, stage:Stage IIIA, alive, 363 days 749.9
TCGA-DD-A4ND-01A 56 years, female, white, stage:Stage I, alive, 2746 days 740.9
TCGA-5R-AA1C-01A 57 years, male, white, stage:Stage II, alive, 520 days 740.2
TCGA-DD-AACU-01A 59 years, male, asian, stage:Stage I, alive, 1567 days 738.2
TCGA-ED-A7XO-01A 29 years, male, asian, stage:Stage IIIA, alive, 427 days 733.0
TCGA-ZP-A9D4-01A 64 years, female, white, stage:'--, alive, 395 days 721.6
TCGA-DD-AAW1-01A 55 years, male, asian, stage:Stage IIIA, alive, 1989 days 714.1
TCGA-DD-A118-01A 77 years, female, white, stage:Stage II, alive, 3437 days 711.7
TCGA-HP-A5MZ-01A 78 years, male, stage:Stage I, dead, 91 days 703.2
TCGA-DD-A4NO-01A 65 years, male, white, stage:Stage I, alive, 2245 days 695.3
TCGA-CC-A8HV-01A 51 years, female, asian, stage:Stage II, dead, 279 days 694.6
TCGA-DD-AADK-01A 68 years, female, asian, stage:Stage II, alive, 1049 days 693.9
TCGA-EP-A2KB-01A 46 years, female, white, stage:Stage I, dead, 596 days 688.6
TCGA-DD-AADV-01A 50 years, male, asian, stage:Stage I, alive, 574 days 686.6
TCGA-BD-A3EP-01A 75 years, female, black or african american, stage:Stage I, alive, 409 days 685.2
TCGA-DD-A4NQ-01A 60 years, male, white, stage:Stage II, dead, 373 days 680.2
TCGA-DD-A4NS-01A 61 years, female, white, stage:Stage I, dead, 2456 days 677.1
TCGA-DD-AADC-01A 53 years, male, asian, stage:Stage I, dead, 425 days 676.1
TCGA-DD-AAD0-01A 73 years, female, asian, stage:Stage I, alive, 137 days 676.0
TCGA-G3-AAV3-01A 58 years, female, white, stage:Stage II, alive, 412 days 673.2
TCGA-DD-AACX-01A 66 years, male, asian, stage:Stage II, alive, 170 days 670.1
TCGA-G3-A6UC-01A 65 years, male, white, stage:Stage IIIB, alive, 671 days 669.4
TCGA-BC-A10U-01A 69 years, male, white, stage:'--, dead, 837 days 666.2
TCGA-DD-A39V-01A 77 years, male, white, stage:Stage II, dead, 643 days 665.0
TCGA-G3-A25Y-01A 52 years, female, asian, stage:Stage I, dead, 452 days 663.3
TCGA-DD-A73D-01A 68 years, female, white, stage:Stage II, alive, 693 days 659.4
TCGA-ES-A2HT-01A 54 years, male, black or african american, stage:Stage I, dead, 438 days 657.0
TCGA-RC-A7S9-01A 47 years, female, asian, stage:Stage I, alive, 640 days 656.4
TCGA-G3-AAV2-01A 50 years, male, white, stage:Stage I, alive, 372 days 652.3
TCGA-ZP-A9D0-01A 67 years, female, black or african american, stage:'--, alive, 1091 days 648.4
TCGA-G3-A5SI-01A 44 years, male, asian, stage:Stage II, dead, 768 days 647.6
TCGA-ZP-A9D2-01A 51 years, male, white, stage:'--, dead, 765 days 642.8
TCGA-CC-A8HS-01A 18 years, male, asian, stage:Stage IIIC, dead, 300 days 642.4
TCGA-LG-A9QD-01A 68 years, male, white, stage:Stage IIIA, alive, 366 days 641.2
TCGA-G3-A25U-01A 63 years, female, asian, stage:Stage I, alive, 1636 days 638.2
TCGA-XR-A8TC-01A 43 years, female, white, stage:Stage I, alive, 1339 days 633.9
TCGA-2Y-A9H7-01A 81 years, female, white, stage:Stage I, alive, 1168 days 632.3
TCGA-DD-A73G-01A 73 years, female, white, stage:Stage I, alive, 3478 days 630.8
TCGA-DD-A119-01A 40 years, male, asian, stage:Stage IV, dead, 223 days 630.4
TCGA-MI-A75G-01A 63 years, male, white, stage:Stage II, alive, 698 days 630.1
TCGA-DD-A4NG-01A 77 years, male, white, stage:Stage IIIA, dead, 802 days 623.9
TCGA-UB-AA0U-01A 60 years, male, white, stage:Stage II, alive, 327 days 620.5
TCGA-HP-A5N0-01A 90 years, female, stage:'--, dead, 752 days 611.9
TCGA-GJ-A9DB-01A 68 years, male, white, stage:Stage I, dead, 67 days 608.8
TCGA-CC-A7IF-01A 59 years, male, asian, stage:Stage IIIA, dead, 649 days 607.8
TCGA-BC-A10T-01A 76 years, male, white, stage:'--, dead, 837 days 604.7
TCGA-5R-AAAM-01A 65 years, female, white, stage:Stage II, dead, 46 days 604.4
TCGA-BC-A10Y-01A 76 years, male, white, stage:'--, dead, 711 days 600.4
TCGA-UB-A7MF-01A 56 years, male, white, stage:Stage IIIA, dead, 214 days 600.3
TCGA-DD-AAE2-01A 51 years, male, asian, stage:Stage I, alive, 638 days 595.3
TCGA-DD-AACK-01A 70 years, male, asian, stage:Stage I, alive, 9 days 586.8
TCGA-ZP-A9CV-01A 59 years, male, white, stage:'--, dead, 1088 days 585.7
TCGA-DD-A3A8-01A 75 years, male, white, stage:Stage II, dead, 11 days 581.4
TCGA-DD-A11C-01A 69 years, male, white, stage:Stage I, alive, 662 days 573.6
TCGA-FV-A4ZP-01A 78 years, male, white, stage:Stage IIIA, dead, 2486 days 573.2
TCGA-DD-AAE0-01A 45 years, female, asian, stage:Stage IIIA, alive, 555 days 572.4
TCGA-BC-A8YO-01A 66 years, female, white, stage:Stage IIIC, alive, 562 days 571.1
TCGA-DD-AAD3-01A 43 years, male, asian, stage:Stage I, alive, 1295 days 571.1
TCGA-DD-AACV-01A 53 years, male, asian, stage:Stage I, alive, 1531 days 569.8
TCGA-DD-AACS-01A 39 years, male, asian, stage:Stage I, alive, 1804 days 568.0
TCGA-BC-A5W4-01A 69 years, male, white, stage:Stage IIIA, dead, 547 days 562.6
TCGA-DD-A3A9-01A 64 years, female, white, stage:Stage IVB, dead, 931 days 562.0
TCGA-ES-A2HS-01A 80 years, male, white, stage:Stage I, dead, 688 days 557.2
TCGA-DD-A73A-01A 71 years, male, white, stage:Stage I, alive, 728 days 556.9
TCGA-WX-AA46-01A 61 years, male, white, stage:Stage II, alive, 756 days 552.4
TCGA-2Y-A9H4-01A 68 years, male, black or african american, stage:Stage I, alive, 1452 days 549.3
TCGA-ED-A627-01A 74 years, male, white, stage:Stage I, alive, 423 days 548.5
TCGA-2Y-A9GX-01A 68 years, male, white, stage:Stage I, alive, 2442 days 547.1
TCGA-KR-A7K2-01A 64 years, male, white, stage:Stage I, alive, 829 days 544.6
TCGA-ED-A7PY-01A 20 years, female, asian, stage:Stage II, alive, 390 days 542.0
TCGA-ZS-A9CF-01A 64 years, male, white, stage:Stage II, alive, 2412 days 540.3
TCGA-ZP-A9CZ-01A 72 years, male, asian, stage:'--, alive, 706 days 535.3
TCGA-DD-AAVQ-01A 38 years, male, asian, stage:Stage I, alive, 2728 days 535.0
TCGA-5R-AA1D-01A 17 years, female, white, stage:Stage IIIA, alive, 449 days 531.2
TCGA-RC-A6M5-01A 20 years, female, white, stage:Stage IVA, alive, 15 days 530.0
TCGA-2Y-A9H9-01A 70 years, male, white, stage:Stage I, alive, 697 days 527.3
TCGA-CC-A8HU-01A 39 years, female, asian, stage:Stage IIIA, dead, 344 days 525.3
TCGA-G3-AAV4-01A 83 years, female, white, stage:Stage I, dead, 27 days 524.5
TCGA-MI-A75E-01A 61 years, male, white, stage:Stage IIIC, alive, 507 days 524.1
TCGA-DD-A73C-01A 65 years, female, white, stage:Stage IIIA, alive, 701 days 523.2
TCGA-FV-A495-01A 51 years, female, white, stage:Stage II, alive, 1 days 521.8
TCGA-DD-A4NK-01A 80 years, female, white, stage:Stage IIIA, dead, 1210 days 519.4
TCGA-WX-AA44-01A 64 years, female, white, stage:Stage I, alive, 615 days 517.4
TCGA-RC-A7SK-01A 59 years, male, asian, stage:Stage I, alive, 472 days 506.9
TCGA-DD-A4NA-01A 67 years, female, white, stage:Stage IIIC, alive, 1008 days 505.5
TCGA-DD-AACQ-01A 50 years, male, asian, stage:Stage II, dead, 432 days 505.1
TCGA-XR-A8TF-01A 74 years, male, white, stage:Stage I, dead, 693 days 503.0
TCGA-G3-A25V-01A 68 years, male, white, stage:Stage I, alive, 860 days 501.2
TCGA-G3-A25Z-01A 58 years, male, asian, stage:Stage I, alive, 655 days 498.9
TCGA-LG-A9QC-01A 48 years, male, white, stage:Stage I, alive, 425 days 498.9
TCGA-DD-A4NV-01A 61 years, male, white, stage:Stage IIIA, alive, 2398 days 498.6
TCGA-DD-AAE9-01A 69 years, male, asian, stage:Stage I, alive, 722 days 497.4
TCGA-FV-A3R3-01A 38 years, female, white, stage:Stage I, dead, 366 days 494.6
TCGA-DD-A115-01A 53 years, male, white, stage:Stage IIIA, dead, 2542 days 493.9
TCGA-KR-A7K8-01A 57 years, male, stage:Stage I, alive, 906 days 490.6
TCGA-DD-AACT-01A 69 years, female, asian, stage:Stage I, alive, 1562 days 489.3
TCGA-DD-AADQ-01A 59 years, male, asian, stage:Stage II, alive, 436 days 489.2
TCGA-DD-AAD5-01A 54 years, male, asian, stage:Stage I, alive, 1345 days 486.1
TCGA-RC-A7SB-01A 53 years, male, asian, stage:Stage II, alive, 588 days 485.9
TCGA-2Y-A9HB-01A 66 years, male, stage:Stage I, alive, 260 days 481.7
TCGA-DD-AADI-01A 43 years, female, asian, stage:Stage I, alive, 1085 days 476.6
TCGA-DD-A4NB-01A 25 years, male, white, stage:Stage I, alive, 989 days 472.3
TCGA-DD-A1EA-01A 68 years, male, asian, stage:Stage II, alive, 2415 days 469.1
TCGA-FV-A23B-01A 70 years, female, white, stage:Stage II, dead, 1852 days 458.3
TCGA-DD-AADJ-01A 70 years, female, asian, stage:Stage I, alive, 1066 days 457.8
TCGA-DD-A4NE-01A 75 years, female, white, stage:Stage IIIA, dead, 660 days 456.2
TCGA-G3-A25S-01A 64 years, male, white, stage:Stage I, dead, 416 days 444.1
TCGA-5C-AAPD-01A 61 years, male, asian, stage:Stage II, alive, 20 days 439.1
TCGA-G3-A3CH-01A 53 years, male, asian, stage:Stage IIIA, alive, 780 days 438.4
TCGA-DD-AACF-01A 68 years, male, asian, stage:Stage I, dead, 365 days 434.9
TCGA-PD-A5DF-01A 58 years, female, white, stage:Stage IIIB, dead, 639 days 432.6
TCGA-RC-A7SH-01A 42 years, male, asian, stage:Stage II, alive, 468 days 430.3
TCGA-DD-AAVX-01A 38 years, male, asian, stage:Stage II, alive, 1718 days 427.6
TCGA-ED-A4XI-01A 58 years, male, asian, stage:Stage II, alive, 819 days 425.6
TCGA-DD-AADG-01A 70 years, male, asian, stage:Stage IIIA, alive, 1145 days 423.9
TCGA-G3-A3CJ-01A 52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days 418.4
TCGA-BC-A10Z-01A 62 years, female, white, stage:Stage I, dead, 34 days 418.1
TCGA-LG-A6GG-01A 79 years, female, white, stage:Stage II, alive, 387 days 416.7
TCGA-DD-A11D-01A 57 years, female, white, stage:Stage I, dead, 1560 days 414.2
TCGA-KR-A7K0-01A 65 years, male, white, stage:Stage I, dead, 65 days 412.0
TCGA-DD-A3A4-01A 37 years, male, white, stage:Stage IIIA, dead, 612 days 412.0
TCGA-2Y-A9H6-01A 68 years, female, white, stage:Stage I, alive, 357 days 411.8
TCGA-BW-A5NO-01A 50 years, male, black or african american, stage:Stage IIIA, alive, 20 days 411.3
TCGA-DD-AADL-01A 58 years, male, asian, stage:Stage I, alive, 636 days 406.9
TCGA-4R-AA8I-01A 66 years, male, white, stage:Stage II, dead, 262 days 405.2
TCGA-FV-A2QR-01A 75 years, male, white, stage:Stage I, dead, 581 days 402.7
TCGA-ZS-A9CE-01A 79 years, female, white, stage:Stage II, alive, 1241 days 401.8
TCGA-G3-A3CK-01A 61 years, male, asian, stage:Stage I, alive, 585 days 399.1
TCGA-G3-A7M5-01A 76 years, male, asian, stage:Stage I, alive, 447 days 390.1
TCGA-XR-A8TG-01A 58 years, male, white, stage:Stage I, alive, 898 days 386.6
TCGA-BC-A216-01A 62 years, female, white, stage:Stage IIIA, alive, 1351 days 386.6
TCGA-MR-A520-01A 58 years, male, white, stage:Stage I, alive, 229 days 382.9
TCGA-DD-AAE6-01A 59 years, female, asian, stage:Stage I, alive, 141 days 382.4
TCGA-XR-A8TE-01A 16 years, male, white, stage:Stage IIIA, alive, 925 days 382.3
TCGA-T1-A6J8-01A 68 years, male, white, stage:'--, alive, 23 days 381.5
TCGA-BD-A3ER-01A 62 years, male, white, stage:Stage II, alive, 1115 days 379.6
TCGA-DD-A39W-01A 29 years, female, white, stage:Stage III, dead, 827 days 379.2
TCGA-DD-A4NF-01A 72 years, male, white, stage:Stage I, alive, 942 days 375.4
TCGA-G3-AAV0-01A 58 years, male, asian, stage:Stage I, alive, 476 days 372.9
TCGA-BC-A69I-01A 69 years, male, white, stage:Stage I, alive, 387 days 371.1
TCGA-XR-A8TD-01A 49 years, female, white, stage:Stage IIIB, alive, 1030 days 364.4
TCGA-DD-AAVR-01A 44 years, male, asian, stage:Stage I, alive, 2513 days 360.2
TCGA-2Y-A9H8-01A 85 years, female, white, stage:'--, dead, 633 days 360.2
TCGA-G3-A7M8-01A 31 years, male, asian, stage:Stage I, alive, 430 days 358.3
TCGA-DD-AAVW-01A 35 years, male, asian, stage:Stage I, alive, 2317 days 350.8
TCGA-BC-A217-01A 75 years, female, white, stage:Stage II, dead, 1397 days 340.4
TCGA-GJ-A6C0-01A 75 years, female, white, stage:Stage II, dead, 31 days 339.5
TCGA-DD-AAE3-01A 50 years, male, asian, stage:Stage I, alive, 566 days 336.9
TCGA-2Y-A9GZ-01A 82 years, female, white, stage:Stage II, dead, 848 days 334.9
TCGA-ZP-A9D1-01A 56 years, female, white, stage:'--, alive, 21 days 334.8
TCGA-K7-A5RG-01A 66 years, male, black or african american, stage:Stage I, alive, 519 days 333.5
TCGA-BC-A10X-01A 52 years, female, white, stage:Stage IIIA, dead, 770 days 331.6
TCGA-BC-A3KF-01A 66 years, female, white, stage:Stage I, alive, 8 days 324.7
TCGA-DD-A3A2-01A 76 years, female, white, stage:Stage I, dead, 2131 days 324.0
TCGA-DD-AADA-01A 66 years, female, asian, stage:Stage I, alive, 1233 days 323.3
TCGA-K7-A5RF-01A 64 years, male, white, stage:Stage I, alive, 631 days 321.7
TCGA-2Y-A9H3-01A 45 years, male, white, stage:Stage II, alive, 1516 days 318.6
TCGA-DD-A4NH-01A 65 years, female, white, stage:Stage IIIB, alive, 917 days 318.2
TCGA-DD-AAEH-01A 73 years, male, asian, stage:Stage I, alive, 784 days 317.3
TCGA-BC-A110-01A 51 years, female, black or african american, stage:'--, dead, 2116 days 316.5
TCGA-DD-AAD6-01A 66 years, male, asian, stage:Stage IIIA, alive, 672 days 315.7
TCGA-DD-A3A5-01A 66 years, female, white, stage:Stage III, dead, 3125 days 315.2
TCGA-DD-A3A1-01A 65 years, male, stage:Stage IIIA, dead, 233 days 311.8
TCGA-DD-A1EK-01A 64 years, female, white, stage:Stage IVB, dead, 558 days 311.6
TCGA-DD-A73F-01A 77 years, female, white, stage:Stage I, alive, 1085 days 307.7
TCGA-DD-A3A7-01A 67 years, male, stage:Stage IIIB, dead, 419 days 305.1
TCGA-WJ-A86L-01A 68 years, female, white, stage:Stage I, alive, 345 days 304.9
TCGA-DD-AAVP-01A 48 years, male, asian, stage:Stage I, alive, 2752 days 304.0
TCGA-DD-AADF-01A 64 years, female, asian, stage:Stage I, dead, 115 days 303.0
TCGA-DD-AADU-01A 60 years, male, asian, stage:Stage II, alive, 554 days 298.2
TCGA-BD-A2L6-01A 69 years, male, white, stage:'--, alive, 1363 days 295.9
TCGA-DD-A73B-01A 72 years, female, white, stage:Stage I, dead, 283 days 294.1
TCGA-DD-A1EB-01A 72 years, female, stage:Stage I, alive, 2017 days 292.9
TCGA-G3-A5SM-01A 58 years, male, white, stage:Stage II, alive, 520 days 292.8
TCGA-ZP-A9CY-01A 66 years, female, white, stage:'--, alive, 782 days 288.8
TCGA-DD-AADO-01A 55 years, male, asian, stage:Stage I, alive, 453 days 284.4
TCGA-EP-A26S-01A 70 years, male, white, stage:Stage I, alive, 608 days 272.7
TCGA-BC-A10R-01A 66 years, female, white, stage:'--, dead, 308 days 272.5
TCGA-2Y-A9GU-01A 55 years, female, white, stage:Stage I, alive, 1939 days 271.4
TCGA-DD-AADR-01A 58 years, male, asian, stage:Stage I, alive, 2028 days 270.3
TCGA-DD-A1ED-01A 68 years, male, white, stage:Stage I, alive, 2301 days 267.8
TCGA-QA-A7B7-01A 48 years, male, black or african american, stage:Stage II, alive, 94 days 267.3
TCGA-2Y-A9GT-01A 51 years, male, white, stage:Stage I, dead, 1624 days 265.2
TCGA-DD-AACE-01A 62 years, male, asian, stage:Stage I, alive, 2184 days 265.1
TCGA-DD-AADM-01A 58 years, male, asian, stage:Stage II, dead, 12 days 264.2
TCGA-UB-AA0V-01A 69 years, female, white, stage:Stage I, alive, 314 days 259.5
TCGA-DD-A4NI-01A 67 years, male, white, stage:Stage II, alive, 816 days 258.6
TCGA-DD-AACD-01A 48 years, male, asian, stage:Stage I, dead, 381 days 250.2
TCGA-DD-AAE7-01A 72 years, male, asian, stage:Stage I, alive, 644 days 248.6
TCGA-2Y-A9GV-01A 54 years, female, white, stage:Stage I, dead, 2532 days 247.0
TCGA-DD-A4NP-01A 32 years, male, white, stage:Stage I, alive, 3308 days 244.2
TCGA-2Y-A9H0-01A 49 years, male, white, stage:Stage IIIA, alive, 3675 days 242.1
TCGA-DD-A4NL-01A 46 years, male, white, stage:Stage I, alive, 1711 days 241.8
TCGA-DD-AAC9-01A 51 years, male, asian, stage:Stage I, alive, 347 days 241.4
TCGA-G3-A3CI-01A 71 years, male, white, stage:Stage I, alive, 180 days 239.9
TCGA-WX-AA47-01A 33 years, female, white, stage:Stage IIIA, dead, 556 days 239.9
TCGA-DD-AAED-01A 51 years, male, asian, stage:Stage I, alive, 763 days 239.8
TCGA-NI-A4U2-01A 71 years, male, white, stage:Stage IIIA, dead, 1791 days 233.2
TCGA-DD-A11B-01A 73 years, male, white, stage:Stage I, dead, 14 days 232.2
TCGA-BC-A3KG-01A 68 years, female, white, stage:Stage II, alive, 680 days 229.1
TCGA-G3-A3CG-01A 80 years, male, white, stage:Stage I, alive, 673 days 223.0
TCGA-CC-5259-01A 60 years, female, asian, stage:Stage IIIC, alive, 250 days 217.1
TCGA-G3-A5SK-01A 58 years, male, white, stage:Stage I, alive, 744 days 210.3
TCGA-DD-AACI-01A 69 years, male, asian, stage:Stage II, alive, 1618 days 206.3
TCGA-DD-AACC-01A 61 years, male, asian, stage:Stage I, dead, 1685 days 174.1
TCGA-NI-A8LF-01A 74 years, male, white, stage:Stage I, alive, 799 days 155.3
TCGA-DD-AAEA-01A 65 years, male, asian, stage:Stage I, alive, 575 days 154.5
TCGA-DD-AACG-01A 52 years, male, asian, stage:Stage II, dead, 469 days 148.8
TCGA-CC-A123-01A 24 years, female, asian, stage:Stage IIIA, alive, 219 days 123.6
TCGA-WQ-AB4B-01A 62 years, male, white, stage:Stage II, alive, 395 days 116.9
TCGA-DD-AAD8-01A 73 years, female, asian, stage:Stage I, alive, 1219 days 115.4
TCGA-DD-A3A6-01A 72 years, female, white, stage:Stage II, dead, 3258 days 93.5
TCGA-DD-AAE4-01A 49 years, female, asian, stage:Stage I, alive, 608 days 45.3
TCGA-DD-AAEB-01A 60 years, male, asian, stage:Stage I, alive, 478 days 43.2
TCGA-DD-AADS-01A 63 years, male, asian, stage:Stage I, alive, 474 days 34.6
TCGA-DD-AACO-01A 40 years, male, asian, stage:Stage I, alive, 1876 days 33.2
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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.

RPL8 is validated 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.

: 2430.37
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 2539.7
Number of samples 231
Samples
Sample Description pTPM
DO50785 37 years, male, NA, stage:4, dead, 90 days 16832.6
DO45093 71 years, male, NA, stage:2, dead, 720 days 11836.6
DO45269 59 years, male, NA, stage:3, alive, 750 days 9929.4
DO50811 62 years, male, NA, stage:1, alive, 450 days 8847.4
DO23516 69 years, male, NA, stage:3, dead, 20 days 8138.5
DO45251 57 years, female, NA, stage:2, alive, 900 days 7853.7
DO45267 73 years, male, NA, stage:3, dead, 570 days 7268.2
DO50859 77 years, male, NA, stage:2, alive, 180 days 7180.7
DO45217 69 years, female, NA, stage:3, dead, 270 days 6911.0
DO45279 67 years, male, NA, stage:3, alive, 1290 days 6717.3
DO45189 85 years, female, NA, stage:2, alive, 1200 days 6629.6
DO23525 71 years, male, NA, stage:4, alive, 1050 days 6552.1
DO50806 70 years, male, NA, stage:4, alive, 540 days 6475.6
DO50805 72 years, male, NA, stage:2, alive, 690 days 6286.5
DO48730 73 years, female, NA, stage:2, alive, 630 days 6164.9
DO45285 59 years, male, NA, stage:3, alive, 480 days 5724.8
DO45165 75 years, male, NA, stage:2, alive, 690 days 5544.7
DO45239 42 years, male, NA, stage:2, alive, 870 days 5415.9
DO48747 62 years, male, NA, stage:3, alive, 540 days 5009.5
DO45307 54 years, female, NA, stage:4, dead, 240 days 4987.5
DO45161 74 years, male, NA, stage:2, dead, 540 days 4983.2
DO45299 70 years, female, NA, stage:1, alive, 1440 days 4861.6
DO48672 81 years, male, NA, stage:2, alive, 450 days 4808.7
DO23519 65 years, male, NA, stage:3, alive, 630 days 4792.0
DO45097 69 years, male, NA, stage:3, alive, 1620 days 4654.5
DO48697 64 years, female, NA, stage:2, dead, 810 days 4624.6
DO48715 58 years, female, NA, stage:2, dead, 690 days 4548.4
DO45245 75 years, female, NA, stage:2, dead, 240 days 4514.4
DO23511 83 years, female, NA, stage:3, dead, 180 days 4351.6
DO45169 74 years, male, NA, stage:3, alive, 1350 days 4340.5
DO45303 62 years, female, NA, stage:3, alive, 990 days 4330.2
DO45095 66 years, male, NA, stage:2, alive, 1620 days 4311.1
DO48706 72 years, male, NA, stage:2, alive, 870 days 4238.6
DO23521 63 years, male, NA, stage:3, alive, 1110 days 4053.9
DO45289 78 years, female, NA, stage:3, alive, 360 days 4023.9
DO45143 69 years, male, NA, stage:3, alive, 1290 days 3994.8
DO45211 76 years, male, NA, stage:3, alive, 240 days 3966.5
DO50839 47 years, female, NA, stage:3, alive, 330 days 3932.5
DO45145 78 years, male, NA, stage:3, dead, 60 days 3928.1
DO45273 62 years, male, NA, stage:2, alive, 480 days 3903.7
DO45247 31 years, female, NA, stage:2, alive, 210 days 3801.1
DO50816 63 years, male, NA, stage:2, alive, 390 days 3721.8
DO23533 61 years, male, NA, stage:2, alive, 900 days 3693.2
DO23508 79 years, female, NA, stage:2, alive, 390 days 3645.3
DO45283 60 years, male, NA, stage:3, alive, 510 days 3360.9
DO45305 66 years, male, NA, stage:4, alive, 300 days 3324.5
DO50822 66 years, male, NA, stage:2, alive, 510 days 3323.6
DO48723 73 years, male, NA, stage:1, alive, 600 days 3316.5
DO50850 74 years, male, NA, stage:3, alive, 720 days 3245.4
DO23510 80 years, female, NA, stage:2, alive, 870 days 3189.0
DO48736 76 years, female, NA, stage:1, alive, 600 days 3182.8
DO48751 68 years, male, NA, stage:2, dead, 480 days 3157.4
DO45259 65 years, male, NA, stage:3, alive, 330 days 3148.3
DO45193 68 years, female, NA, stage:4, dead, 120 days 3144.8
DO227801 77 years, female, NA, stage:1, alive, 660 days 3129.4
DO45205 67 years, female, NA, stage:2, dead, 90 days 3062.5
DO45103 47 years, male, NA, stage:3, alive, 450 days 3033.8
DO45173 63 years, male, NA, stage:3, alive, 1170 days 3015.4
DO45241 49 years, male, NA, stage:1, alive, 1080 days 3009.2
DO45253 50 years, male, NA, stage:2, alive, 870 days 3005.9
DO50815 62 years, male, NA, stage:3, alive, 150 days 2995.1
DO48682 72 years, female, NA, stage:3, dead, 120 days 2974.4
DO45265 73 years, male, NA, stage:3, alive, 1020 days 2946.1
DO48700 78 years, female, NA, stage:2, alive, 810 days 2945.1
DO45131 53 years, male, NA, stage:4, dead, 360 days 2934.5
DO48737 52 years, male, NA, stage:1, alive, 720 days 2916.3
DO50778 60 years, male, NA, stage:4, alive, 630 days 2908.9
DO50829 78 years, male, NA, stage:3, alive, 570 days 2825.0
DO23526 66 years, male, NA, stage:3, alive, 1050 days 2772.4
DO45157 62 years, male, NA, stage:2, alive, 1980 days 2759.8
DO45171 56 years, male, NA, stage:3, alive, 600 days 2743.1
DO50791 79 years, female, NA, stage:1, dead, 480 days 2724.4
DO45257 46 years, male, NA, stage:3, alive, 810 days 2716.0
DO45297 61 years, female, NA, stage:4, dead, 1260 days 2683.6
DO45187 32 years, female, NA, stage:1, alive, 1260 days 2669.1
DO23542 66 years, male, NA, stage:3, alive, 960 days 2663.5
DO50809 56 years, male, NA, stage:3, dead, 720 days 2637.0
DO45121 61 years, male, NA, stage:3, alive, 1530 days 2616.2
DO50799 66 years, female, NA, stage:2, alive, 540 days 2614.2
DO45301 56 years, male, NA, stage:2, dead, 1440 days 2596.1
DO45277 64 years, male, NA, stage:3, alive, 600 days 2584.2
DO48727 81 years, female, NA, stage:2, dead, 390 days 2546.8
DO23530 53 years, male, NA, stage:4, dead, 180 days 2509.6
DO50855 47 years, male, NA, stage:2, alive, 570 days 2502.7
DO23545 67 years, male, NA, stage:2, dead, 570 days 2485.8
DO45243 74 years, female, NA, stage:3, alive, 930 days 2483.7
DO45163 76 years, male, NA, stage:2, alive, 960 days 2449.0
DO45249 57 years, male, NA, stage:1, alive, 630 days 2436.8
DO45183 72 years, female, NA, stage:2, dead, 570 days 2430.4
DO50814 83 years, male, NA, stage:3, alive, 420 days 2426.3
DO45125 58 years, male, NA, stage:3, alive, 1680 days 2412.7
DO45091 56 years, male, NA, stage:2, dead, 1320 days 2411.3
DO50783 62 years, male, NA, stage:3, alive, 480 days 2349.6
DO45155 69 years, male, NA, stage:2, alive, 2160 days 2348.2
DO48741 64 years, male, NA, stage:3, alive, 240 days 2337.8
DO23528 45 years, female, NA, stage:2, alive, 1020 days 2333.5
DO45113 58 years, male, NA, stage:3, alive, 1560 days 2333.4
DO45199 86 years, female, NA, stage:2, alive, 1350 days 2308.1
DO45287 74 years, male, NA, stage:1, alive, 390 days 2294.3
DO48757 68 years, female, NA, stage:3, alive, 480 days 2288.2
DO48720 62 years, female, NA, stage:2, alive, 570 days 2281.5
DO48677 58 years, male, NA, stage:3, alive, 1140 days 2273.8
DO23515 71 years, male, NA, stage:2, alive, 1230 days 2270.7
DO45231 84 years, male, NA, stage:2, alive, 930 days 2251.8
DO23523 52 years, male, NA, stage:3, alive, 1080 days 2208.9
DO45191 61 years, female, NA, stage:2, alive, 1200 days 2148.9
DO48732 73 years, male, NA, stage:3, alive, 630 days 2130.6
DO23543 63 years, male, NA, stage:2, alive, 1020 days 2130.3
DO45127 73 years, male, NA, stage:3, dead, 420 days 2117.6
DO48725 66 years, male, NA, stage:1, alive, 780 days 2106.6
DO48728 74 years, female, NA, stage:2, alive, 150 days 2102.1
DO45141 73 years, male, NA, stage:2, alive, 1320 days 2092.6
DO45209 70 years, male, NA, stage:4, alive, 1350 days 2066.2
DO48704 68 years, female, NA, stage:3, alive, 750 days 2046.8
DO23535 67 years, male, NA, stage:1, alive, 960 days 2036.9
DO23548 78 years, female, NA, stage:1, alive, 840 days 2028.2
DO23546 63 years, male, NA, stage:2, alive, 1050 days 2020.8
DO23529 72 years, male, NA, stage:4, alive, 930 days 1994.6
DO50798 77 years, male, NA, stage:3, dead, 30 days 1979.7
DO50844 75 years, male, NA, stage:4, alive, 300 days 1950.9
DO45137 38 years, male, NA, stage:1, alive, 1320 days 1948.6
DO48759 73 years, male, NA, stage:3, alive, 720 days 1941.8
DO50817 75 years, male, NA, stage:2, alive, 390 days 1939.5
DO48743 69 years, female, NA, stage:2, alive, 570 days 1933.9
DO23537 79 years, male, NA, stage:2, dead, 900 days 1896.1
DO45213 58 years, male, NA, stage:1, alive, 1200 days 1887.6
DO45225 69 years, male, NA, stage:1, alive, 1050 days 1881.2
DO48733 72 years, male, NA, stage:2, alive, 600 days 1861.6
DO45275 65 years, male, NA, stage:3, dead, 10 days 1853.9
DO23547 74 years, male, NA, stage:1, alive, 1020 days 1851.3
DO45139 63 years, male, NA, stage:3, alive, 1320 days 1849.3
DO50776 75 years, male, NA, stage:1, alive, 690 days 1843.1
DO45281 83 years, male, NA, stage:4, alive, 750 days 1806.7
DO45135 77 years, male, NA, stage:1, alive, 1410 days 1800.3
DO48712 50 years, male, NA, stage:2, alive, 810 days 1780.8
DO45203 71 years, female, NA, stage:2, alive, 1170 days 1753.8
DO50793 76 years, male, NA, stage:4, alive, 540 days 1728.9
DO50804 81 years, male, NA, stage:2, alive, 720 days 1717.6
DO45201 49 years, male, NA, stage:1, alive, 900 days 1686.5
DO45153 77 years, female, NA, stage:2, alive, 1380 days 1685.9
DO48695 77 years, male, NA, stage:2, alive, 720 days 1651.7
DO45092 62 years, male, NA, stage:4, dead, 1200 days 1630.1
DO50825 70 years, male, NA, stage:2, alive, 390 days 1628.9
DO48746 76 years, male, NA, stage:3, alive, 570 days 1625.5
DO23549 74 years, male, NA, stage:3, alive, 990 days 1600.4
DO45223 67 years, male, NA, stage:4, alive, 1020 days 1580.0
DO45123 78 years, female, NA, stage:2, dead, 570 days 1573.6
DO45261 74 years, male, NA, stage:3, alive, 990 days 1571.8
DO23536 56 years, male, NA, stage:2, alive, 930 days 1566.5
DO48679 72 years, male, NA, stage:2, alive, 1200 days 1551.7
DO45229 74 years, male, NA, stage:1, alive, 990 days 1545.2
DO48716 71 years, male, NA, stage:2, alive, 720 days 1529.6
DO50819 72 years, female, NA, stage:2, alive, 510 days 1504.4
DO45185 89 years, male, NA, stage:2, alive, 600 days 1482.3
DO50813 56 years, male, NA, stage:2, alive, 420 days 1439.1
DO48719 80 years, male, NA, stage:2, alive, 690 days 1423.2
DO48717 54 years, male, NA, stage:4, dead, 180 days 1417.7
DO45133 64 years, male, NA, stage:3, dead, 660 days 1410.1
DO50802 49 years, male, NA, stage:2, alive, 930 days 1410.1
DO23514 64 years, male, NA, stage:2, alive, 1290 days 1402.3
DO50820 77 years, female, NA, stage:3, alive, 510 days 1398.5
DO23539 77 years, male, NA, stage:1, alive, 1110 days 1398.1
DO50800 74 years, male, NA, stage:2, alive, 510 days 1396.0
DO45101 63 years, male, NA, stage:2, alive, 1680 days 1393.6
DO50845 72 years, male, NA, stage:3, alive, 210 days 1386.3
DO45237 58 years, male, NA, stage:2, alive, 900 days 1384.7
DO45109 63 years, male, NA, stage:2, alive, 1590 days 1384.0
DO45221 75 years, female, NA, stage:4, dead, 390 days 1378.5
DO45115 81 years, male, NA, stage:2, alive, 840 days 1369.4
DO45149 70 years, female, NA, stage:2, alive, 1260 days 1357.1
DO23512 60 years, male, NA, stage:1, alive, 1260 days 1317.6
DO50840 49 years, male, NA, stage:2, alive, 330 days 1307.9
DO45159 65 years, male, NA, stage:3, alive, 1470 days 1299.3
DO50818 65 years, male, NA, stage:2, alive, 510 days 1272.2
DO48693 71 years, male, NA, stage:2, alive, 900 days 1271.5
DO50803 62 years, female, NA, stage:1, alive, 540 days 1258.9
DO50832 73 years, male, NA, stage:3, alive, 90 days 1240.8
DO45099 46 years, male, NA, stage:3, alive, 1590 days 1207.7
DO45227 57 years, female, NA, stage:2, alive, 1020 days 1192.1
DO45235 68 years, female, NA, stage:1, alive, 900 days 1175.6
DO45263 67 years, male, NA, stage:3, dead, 270 days 1168.4
DO45119 74 years, male, NA, stage:3, dead, 510 days 1149.9
DO23513 76 years, male, NA, stage:3, alive, 1200 days 1147.4
DO45233 83 years, male, NA, stage:3, alive, 900 days 1143.2
DO50857 72 years, male, NA, stage:2, alive, 210 days 1109.6
DO45219 78 years, male, NA, stage:2, alive, 1080 days 1079.8
DO45179 78 years, female, NA, stage:2, alive, 600 days 1066.8
DO45177 81 years, female, NA, stage:3, alive, 1260 days 1062.4
DO45215 65 years, male, NA, stage:2, alive, 1170 days 1046.8
DO50787 63 years, male, NA, stage:3, alive, 480 days 1035.7
DO50789 73 years, female, NA, stage:2, alive, 570 days 1034.0
DO45181 84 years, female, NA, stage:2, alive, 1200 days 1032.4
DO48721 58 years, female, NA, stage:1, alive, 900 days 1026.3
DO23524 71 years, female, NA, stage:2, alive, 1050 days 1005.4
DO23518 67 years, male, NA, stage:2, alive, 1320 days 989.6
DO45207 68 years, male, NA, stage:1, alive, 1050 days 967.1
DO45255 81 years, male, NA, stage:3, alive, 720 days 956.1
DO48701 78 years, male, NA, stage:2, alive, 780 days 954.0
DO23532 71 years, female, NA, stage:1, alive, 960 days 948.1
DO50808 68 years, male, NA, stage:2, alive, 570 days 946.6
DO23517 62 years, male, NA, stage:2, alive, 1200 days 916.0
DO45167 67 years, male, NA, stage:2, dead, 1440 days 913.8
DO45117 73 years, female, NA, stage:2, dead, 1110 days 901.1
DO45175 74 years, male, NA, stage:2, alive, 1140 days 874.9
DO50807 67 years, male, NA, stage:1, alive, 540 days 861.9
DO50774 68 years, female, NA, stage:2, alive, 720 days 859.2
DO45107 63 years, female, NA, stage:2, alive, 1710 days 857.1
DO23541 65 years, male, NA, stage:2, alive, 930 days 849.5
DO48674 80 years, male, NA, stage:2, alive, 1260 days 829.0
DO227643 79 years, male, NA, stage:2, alive, 1260 days 816.4
DO45096 69 years, male, NA, stage:2, dead, 1290 days 816.2
DO48761 55 years, male, NA, stage:2, alive, 870 days 792.1
DO23551 73 years, male, NA, stage:3, dead, 150 days 788.2
DO23534 60 years, male, NA, stage:2, alive, 840 days 774.4
DO23544 67 years, male, NA, stage:2, alive, 960 days 766.1
DO23509 60 years, male, NA, stage:3, dead, 780 days 760.9
DO23550 69 years, male, NA, stage:1, alive, 990 days 760.6
DO48681 57 years, male, NA, stage:2, alive, 900 days 757.8
DO45197 51 years, male, NA, stage:2, alive, 1170 days 740.5
DO23538 67 years, male, NA, stage:2, alive, 450 days 739.0
DO23540 73 years, male, NA, stage:1, alive, 750 days 712.0
DO48760 70 years, female, NA, stage:2, alive, 690 days 704.9
DO45094 76 years, male, NA, stage:3, alive, 1650 days 702.8
DO23531 78 years, female, NA, stage:3, alive, 900 days 697.7
DO23527 72 years, male, NA, stage:1, alive, 1050 days 658.1
DO48742 76 years, male, NA, stage:2, alive, 600 days 639.1
DO45105 61 years, male, NA, stage:1, alive, 1680 days 602.2
DO45129 61 years, male, NA, stage:3, alive, 1470 days 570.6
DO45195 62 years, male, NA, stage:1, alive, 390 days 533.0
DO45111 74 years, male, NA, stage:2, alive, 1590 days 467.5
DO23552 80 years, female, NA, stage:1, alive, 810 days 438.7
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LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples 330
Samples
Sample ID Sample type nRPX
557 Tumor 0.6
537 Tumor 0.4
285 Tumor 0.4
367 Tumor 0.4
1021 Tumor 0.4
685 Tumor 0.3
1027 Tumor 0.3
393 Tumor 0.3
743 Tumor 0.3
223 Tumor 0.3
331 Tumor 0.3
661 Tumor 0.3
131 Tumor 0.3
567 Tumor 0.2
523 Tumor 0.2
1025 Tumor 0.2
271 Tumor 0.2
135 Tumor 0.2
387 Tumor 0.2
395 Tumor 0.2
443 Tumor 0.2
267 Tumor 0.2
113 Tumor 0.2
1016 Normal 0.2
981 Tumor 0.2
865 Tumor 0.2
545 Tumor 0.2
737 Tumor 0.2
257 Tumor 0.2
452 Normal 0.1
983 Tumor 0.1
342 Normal 0.1
385 Tumor 0.1
937 Tumor 0.1
1026 Normal 0.1
375 Tumor 0.1
286 Normal 0.1
327 Tumor 0.1
727 Tumor 0.1
554 Normal 0.1
332 Normal 0.1
136 Normal 0.1
172 Normal 0.1
351 Tumor 0.1
968 Normal 0.1
137 Tumor 0.1
536 Normal 0.1
662 Normal 0.1
358 Normal 0.1
314 Normal 0.1
451 Tumor 0.1
1043 Tumor 0.1
228 Normal 0.1
111 Normal 0.1
344 Normal 0.1
278 Normal 0.1
965 Tumor 0.1
817 Tumor 0.1
534 Normal 0.1
745 Tumor 0.1
952 Normal 0.1
411 Tumor 0.1
128 Normal 0.1
114 Normal 0.1
171 Tumor 0.1
1015 Tumor 0.1
978 Normal 0.1
162 Normal 0.1
123 Tumor 0.1
778 Normal 0.1
715 Tumor 0.1
1044 Normal 0.1
185 Tumor 0.1
1014 Normal 0.1
861 Tumor 0.1
1041 Tumor 0.1
538 Normal 0.0
124 Normal 0.0
882 Normal 0.0
864 Normal 0.0
343 Tumor 0.0
298 Normal 0.0
222 Normal 0.0
533 Tumor 0.0
515 Tumor 0.0
955 Tumor 0.0
471 Tumor 0.0
467 Tumor 0.0
142 Normal 0.0
527 Tumor 0.0
363 Tumor 0.0
353 Tumor 0.0
984 Normal 0.0
664 Normal 0.0
698 Normal 0.0
261 Tumor 0.0
696 Normal 0.0
738 Normal 0.0
918 Normal 0.0
312 Normal 0.0
161 Tumor 0.0
528 Normal 0.0
214 Normal 0.0
465 Tumor 0.0
328 Normal 0.0
357 Tumor 0.0
951 Tumor 0.0
546 Normal 0.0
697 Tumor 0.0
284 Normal 0.0
224 Normal 0.0
497 Tumor 0.0
568 Normal 0.0
138 Normal 0.0
425 Tumor 0.0
413 Tumor 0.0
112 Tumor 0.0
466 Normal 0.0
921 Tumor 0.0
147 Tumor 0.0
145 Tumor 0.0
815 Tumor 0.0
366 Normal 0.0
982 Normal 0.0
186 Normal 0.0
423 Tumor 0.0
1031 Tumor 0.0
866 Normal 0.0
231 Tumor 0.0
488 Normal 0.0
746 Normal 0.0
463 Tumor 0.0
213 Tumor 0.0
525 Tumor 0.0
436 Normal 0.0
258 Normal 0.0
352 Normal 0.0
368 Normal 0.0
823 Tumor 0.0
912 Normal 0.0
277 Tumor 0.0
392 Normal 0.0
196 Normal 0.0
447 Tumor 0.0
923 Tumor 0.0
376 Normal 0.0
212 Normal 0.0
728 Normal 0.0
851 Tumor 0.0
448 Normal 0.0
1028 Normal 0.0
481 Tumor 0.0
461 Tumor 0.0
922 Normal 0.0
926 Normal 0.0
636 Normal 0.0
755 Tumor 0.0
648 Normal 0.0
966 Normal 0.0
744 Normal 0.0
473 Tumor 0.0
427 Tumor 0.0
474 Normal 0.0
564 Normal 0.0
211 Tumor 0.0
816 Normal 0.0
388 Normal 0.0
455 Tumor 0.0
518 Normal 0.0
477 Tumor 0.0
355 Tumor 0.0
132 Normal 0.0
911 Tumor 0.0
535 Tumor 0.0
878 Normal 0.0
364 Normal 0.0
141 Tumor 0.0
824 Normal 0.0
272 Normal 0.0
571 Tumor 0.0
227 Tumor 0.0
672 Normal 0.0
356 Normal -0.1
686 Normal -0.1
858 Normal -0.1
195 Tumor -0.1
884 Normal -0.1
722 Normal -0.1
484 Normal -0.1
396 Normal -0.1
354 Normal -0.1
742 Normal -0.1
422 Normal -0.1
394 Normal -0.1
464 Normal -0.1
914 Normal -0.1
412 Normal -0.1
666 Normal -0.1
1046 Normal -0.1
462 Normal -0.1
232 Normal -0.1
573 Tumor -0.1
925 Tumor -0.1
964 Normal -0.1
785 Tumor -0.1
957 Tumor -0.1
217 Tumor -0.1
493 Tumor -0.1
283 Tumor -0.1
421 Tumor -0.1
915 Tumor -0.1
434 Normal -0.1
777 Tumor -0.1
426 Normal -0.1
297 Tumor -0.1
1013 Tumor -0.1
916 Normal -0.1
188 Normal -0.1
617 Tumor -0.1
472 Normal -0.1
574 Normal -0.1
975 Tumor -0.1
967 Tumor -0.1
445 Tumor -0.1
146 Normal -0.1
391 Tumor -0.1
671 Tumor -0.1
665 Tumor -0.1
148 Normal -0.1
723 Tumor -0.1
618 Normal -0.1
468 Normal -0.1
862 Normal -0.1
218 Normal -0.1
756 Normal -0.1
883 Tumor -0.1
553 Tumor -0.1
483 Tumor -0.1
938 Normal -0.1
492 Normal -0.1
976 Normal -0.1
874 Normal -0.1
924 Normal -0.1
663 Tumor -0.1
716 Normal -0.1
635 Tumor -0.1
913 Tumor -0.1
414 Normal -0.1
386 Normal -0.1
867 Tumor -0.1
446 Normal -0.1
362 Normal -0.1
365 Tumor -0.1
917 Tumor -0.1
558 Normal -0.1
877 Tumor -0.1
977 Tumor -0.1
721 Tumor -0.2
262 Normal -0.2
311 Tumor -0.2
482 Normal -0.2
221 Tumor -0.2
572 Normal -0.2
1022 Normal -0.2
724 Normal -0.2
786 Normal -0.2
187 Tumor -0.2
516 Normal -0.2
313 Tumor -0.2
361 Tumor -0.2
478 Normal -0.2
881 Tumor -0.2
852 Normal -0.2
813 Tumor -0.2
963 Tumor -0.2
873 Tumor -0.2
695 Tumor -0.2
341 Tumor -0.2
814 Normal -0.2
494 Normal -0.2
126 Normal -0.2
714 Normal -0.2
1045 Tumor -0.2
384 Normal -0.2
125 Tumor -0.2
268 Normal -0.2
456 Normal -0.2
953 Tumor -0.2
191 Tumor -0.2
487 Tumor -0.2
642 Normal -0.2
1032 Normal -0.2
563 Tumor -0.2
647 Tumor -0.2
416 Normal -0.2
956 Normal -0.2
524 Normal -0.2
958 Normal -0.2
1042 Normal -0.2
428 Normal -0.2
954 Normal -0.2
192 Normal -0.2
713 Tumor -0.2
943 Tumor -0.3
526 Normal -0.3
432 Normal -0.3
741 Tumor -0.3
415 Tumor -0.3
517 Tumor -0.3
383 Tumor -0.3
127 Tumor -0.3
498 Normal -0.3
615 Tumor -0.3
944 Normal -0.3
628 Normal -0.3
424 Normal -0.3
868 Normal -0.3
491 Tumor -0.3
433 Tumor -0.3
616 Normal -0.3
435 Tumor -0.3
431 Tumor -0.3
857 Tumor -0.4
513 Tumor -0.4
514 Normal -0.4
818 Normal -0.4
627 Tumor -0.4
444 Normal -0.4
863 Tumor -0.5
641 Tumor -0.6
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 HPA045095

Antibody HPA050165
 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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