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RPL15
HPA
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  • RPL15
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
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.

RPL15 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.

: 1497.84
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 1235.9
Number of samples 362
Samples
Sample Description pTPM
TCGA-DD-AADN-01A 59 years, male, asian, stage:Stage I, alive, 898 days 4178.7
TCGA-CC-5258-01A 48 years, male, asian, stage:Stage II, dead, 129 days 3369.3
TCGA-CC-A7II-01A 54 years, male, asian, stage:Stage IIIA, alive, 399 days 3299.5
TCGA-G3-A7M9-01A 70 years, male, white, stage:Stage IIIB, dead, 56 days 3263.8
TCGA-CC-A3M9-01A 45 years, male, asian, stage:Stage IIIA, dead, 300 days 2988.5
TCGA-CC-5260-01A 61 years, female, asian, stage:Stage IIIC, dead, 87 days 2973.2
TCGA-DD-AA3A-01A 81 years, female, white, stage:Stage I, dead, 410 days 2963.0
TCGA-CC-A7IE-01A 57 years, male, asian, stage:Stage IIIA, dead, 217 days 2920.3
TCGA-CC-A9FW-01A 68 years, male, asian, stage:Stage IIIA, alive, 248 days 2904.5
TCGA-DD-AACP-01A 64 years, male, asian, stage:Stage I, alive, 415 days 2853.9
TCGA-BC-A69H-01A 64 years, male, white, stage:Stage II, alive, 444 days 2834.4
TCGA-RC-A6M6-01A 75 years, male, white, stage:Stage II, alive, 9 days 2743.5
TCGA-DD-AAED-01A 51 years, male, asian, stage:Stage I, alive, 763 days 2674.9
TCGA-DD-AAE0-01A 45 years, female, asian, stage:Stage IIIA, alive, 555 days 2659.2
TCGA-DD-A1EJ-01A 71 years, female, white, stage:Stage IIIC, dead, 1005 days 2577.4
TCGA-CC-A7IK-01A 59 years, male, asian, stage:Stage IIIA, dead, 262 days 2559.6
TCGA-CC-A7IG-01A 47 years, male, asian, stage:Stage II, dead, 299 days 2521.3
TCGA-CC-A1HT-01A 50 years, male, asian, stage:Stage IIIA, dead, 101 days 2480.5
TCGA-FV-A3I0-01A 76 years, female, white, stage:Stage II, alive, 848 days 2416.8
TCGA-DD-AAD6-01A 66 years, male, asian, stage:Stage IIIA, alive, 672 days 2327.0
TCGA-DD-AACN-01A 32 years, male, asian, stage:Stage I, alive, 1302 days 2305.8
TCGA-DD-A1EF-01A 57 years, female, white, stage:Stage I, dead, 394 days 2267.6
TCGA-DD-AACU-01A 59 years, male, asian, stage:Stage I, alive, 1567 days 2259.2
TCGA-ED-A8O6-01A 50 years, female, asian, stage:Stage IIIA, dead, 56 days 2226.1
TCGA-ED-A8O5-01A 59 years, female, asian, stage:Stage IIIA, alive, 406 days 2201.6
TCGA-XR-A8TF-01A 74 years, male, white, stage:Stage I, dead, 693 days 2122.5
TCGA-DD-AACB-01A 74 years, female, asian, stage:Stage I, alive, 2324 days 2105.9
TCGA-CC-A5UE-01A 48 years, male, asian, stage:Stage IIIB, dead, 272 days 2088.0
TCGA-DD-A1EL-01A 23 years, male, black or african american, stage:Stage II, dead, 415 days 2074.2
TCGA-CC-5261-01A 44 years, male, asian, stage:Stage II, dead, 97 days 2064.8
TCGA-YA-A8S7-01A 68 years, male, white, stage:Stage IIIA, dead, 412 days 2057.2
TCGA-MI-A75G-01A 63 years, male, white, stage:Stage II, alive, 698 days 2039.8
TCGA-DD-AADD-01A 51 years, male, asian, stage:Stage I, alive, 1231 days 2036.3
TCGA-BC-A112-01A 80 years, male, white, stage:'--, dead, 153 days 2029.5
TCGA-DD-AAD5-01A 54 years, male, asian, stage:Stage I, alive, 1345 days 2002.7
TCGA-DD-AACL-01A 66 years, female, asian, stage:Stage I, dead, 107 days 1983.8
TCGA-DD-A4NN-01A 56 years, female, white, stage:Stage I, dead, 899 days 1980.8
TCGA-DD-A39Y-01A 67 years, male, asian, stage:Stage I, dead, 171 days 1976.1
TCGA-DD-AADW-01A 48 years, male, asian, stage:Stage I, alive, 587 days 1956.4
TCGA-5R-AA1C-01A 57 years, male, white, stage:Stage II, alive, 520 days 1927.4
TCGA-DD-AAC8-01A 72 years, male, asian, stage:Stage I, dead, 16 days 1917.6
TCGA-DD-AACG-01A 52 years, male, asian, stage:Stage II, dead, 469 days 1893.4
TCGA-ED-A5KG-01A 60 years, female, asian, stage:Stage II, alive, 854 days 1884.7
TCGA-DD-AACZ-01A 63 years, female, asian, stage:Stage I, dead, 171 days 1884.7
TCGA-DD-AAW2-01A 69 years, male, asian, stage:Stage I, alive, 1855 days 1879.4
TCGA-G3-AAV6-01A 53 years, female, white, stage:Stage IIIA, dead, 65 days 1876.5
TCGA-DD-AAVU-01A 46 years, male, asian, stage:Stage II, alive, 2202 days 1866.4
TCGA-BC-A217-01A 75 years, female, white, stage:Stage II, dead, 1397 days 1866.2
TCGA-CC-5262-01A 67 years, male, asian, stage:Stage IIIC, dead, 103 days 1861.9
TCGA-DD-AACA-01A 65 years, male, asian, stage:Stage I, alive, 2301 days 1845.2
TCGA-DD-A73E-01A 66 years, male, white, stage:Stage I, alive, 44 days 1818.5
TCGA-G3-A25Y-01A 52 years, female, asian, stage:Stage I, dead, 452 days 1805.5
TCGA-FV-A4ZQ-01A 52 years, male, white, stage:Stage I, alive, 12 days 1797.2
TCGA-EP-A2KA-01A 52 years, female, white, stage:Stage IIIA, dead, 627 days 1793.2
TCGA-DD-AADB-01A 51 years, male, asian, stage:Stage I, alive, 1242 days 1790.0
TCGA-G3-AAV2-01A 50 years, male, white, stage:Stage I, alive, 372 days 1778.9
TCGA-MI-A75C-01A 64 years, male, white, stage:Stage I, alive, 291 days 1770.8
TCGA-G3-A7M6-01A 60 years, female, white, stage:Stage I, alive, 632 days 1762.6
TCGA-DD-A114-01A 42 years, male, black or african american, stage:Stage II, dead, 1149 days 1759.9
TCGA-RG-A7D4-01A 69 years, male, black or african american, stage:Stage II, alive, 1098 days 1753.0
TCGA-2Y-A9GS-01A 58 years, male, white, stage:'--, dead, 724 days 1752.6
TCGA-DD-AADV-01A 50 years, male, asian, stage:Stage I, alive, 574 days 1739.4
TCGA-DD-A1EH-01A 23 years, male, white, stage:Stage III, alive, 1495 days 1737.8
TCGA-G3-AAV1-01A 51 years, male, asian, stage:Stage IIIC, dead, 359 days 1736.2
TCGA-G3-AAV5-01A 67 years, male, white, stage:Stage II, alive, 354 days 1734.7
TCGA-FV-A3R2-01A 75 years, male, white, stage:Stage I, dead, 194 days 1734.0
TCGA-DD-AADP-01A 45 years, male, asian, stage:Stage I, alive, 458 days 1709.1
TCGA-BW-A5NO-01A 50 years, male, black or african american, stage:Stage IIIA, alive, 20 days 1690.4
TCGA-DD-AACQ-01A 50 years, male, asian, stage:Stage II, dead, 432 days 1687.7
TCGA-EP-A2KB-01A 46 years, female, white, stage:Stage I, dead, 596 days 1659.2
TCGA-CC-A8HU-01A 39 years, female, asian, stage:Stage IIIA, dead, 344 days 1653.6
TCGA-DD-AAVP-01A 48 years, male, asian, stage:Stage I, alive, 2752 days 1652.1
TCGA-QA-A7B7-01A 48 years, male, black or african american, stage:Stage II, alive, 94 days 1642.7
TCGA-EP-A26S-01A 70 years, male, white, stage:Stage I, alive, 608 days 1626.1
TCGA-DD-AADC-01A 53 years, male, asian, stage:Stage I, dead, 425 days 1625.6
TCGA-DD-AADI-01A 43 years, female, asian, stage:Stage I, alive, 1085 days 1611.9
TCGA-DD-A1EI-01A 46 years, male, asian, stage:Stage I, alive, 183 days 1609.4
TCGA-CC-A5UD-01A 45 years, male, asian, stage:Stage IIIA, dead, 304 days 1599.4
TCGA-DD-A39X-01A 78 years, female, white, stage:Stage I, dead, 1694 days 1591.4
TCGA-CC-A5UC-01A 63 years, male, asian, stage:Stage IIIA, dead, 347 days 1590.5
TCGA-UB-A7ME-01A 51 years, male, asian, stage:Stage I, alive, 486 days 1582.0
TCGA-5C-A9VG-01A 58 years, male, white, stage:Stage II, alive, 328 days 1578.0
TCGA-BC-A10Y-01A 76 years, male, white, stage:'--, dead, 711 days 1547.6
TCGA-CC-A8HV-01A 51 years, female, asian, stage:Stage II, dead, 279 days 1535.2
TCGA-UB-A7MB-01A 24 years, male, white, stage:Stage II, alive, 601 days 1522.7
TCGA-DD-A39Z-01A 43 years, female, stage:Stage II, dead, 601 days 1503.2
TCGA-HP-A5N0-01A 90 years, female, stage:'--, dead, 752 days 1497.8
TCGA-DD-AAEE-01A 55 years, male, asian, stage:Stage I, alive, 810 days 1495.0
TCGA-G3-A25U-01A 63 years, female, asian, stage:Stage I, alive, 1636 days 1490.2
TCGA-DD-AAE9-01A 69 years, male, asian, stage:Stage I, alive, 722 days 1485.9
TCGA-DD-A4NV-01A 61 years, male, white, stage:Stage IIIA, alive, 2398 days 1476.2
TCGA-ED-A82E-01A 60 years, female, asian, stage:Stage IIIA, alive, 408 days 1466.1
TCGA-MI-A75H-01A 77 years, male, white, stage:'--, alive, 747 days 1464.8
TCGA-BC-A8YO-01A 66 years, female, white, stage:Stage IIIC, alive, 562 days 1458.8
TCGA-DD-A4NS-01A 61 years, female, white, stage:Stage I, dead, 2456 days 1458.5
TCGA-DD-AAVS-01A 56 years, male, asian, stage:Stage I, alive, 1823 days 1458.1
TCGA-BC-A216-01A 62 years, female, white, stage:Stage IIIA, alive, 1351 days 1457.6
TCGA-DD-AAE6-01A 59 years, female, asian, stage:Stage I, alive, 141 days 1455.6
TCGA-CC-A7IJ-01A 56 years, male, asian, stage:Stage II, alive, 382 days 1442.1
TCGA-CC-5264-01A 71 years, male, asian, stage:Stage IIIA, dead, 102 days 1431.6
TCGA-DD-AAD8-01A 73 years, female, asian, stage:Stage I, alive, 1219 days 1427.2
TCGA-ED-A66Y-01A 51 years, female, asian, stage:Stage IIIA, dead, 296 days 1418.0
TCGA-K7-AAU7-01A 61 years, male, white, stage:Stage II, alive, 359 days 1414.4
TCGA-DD-AAD1-01A 51 years, female, asian, stage:Stage I, alive, 564 days 1413.0
TCGA-G3-AAV4-01A 83 years, female, white, stage:Stage I, dead, 27 days 1397.4
TCGA-RC-A6M4-01A 74 years, female, white, stage:Stage IIIA, alive, 22 days 1395.1
TCGA-DD-AACW-01A 43 years, male, asian, stage:Stage I, alive, 1424 days 1377.5
TCGA-BC-A5W4-01A 69 years, male, white, stage:Stage IIIA, dead, 547 days 1363.4
TCGA-DD-AACK-01A 70 years, male, asian, stage:Stage I, alive, 9 days 1361.9
TCGA-DD-AACF-01A 68 years, male, asian, stage:Stage I, dead, 365 days 1355.6
TCGA-2Y-A9GY-01A 64 years, female, white, stage:Stage II, dead, 757 days 1347.8
TCGA-CC-A3MA-01A 61 years, male, asian, stage:Stage IIIA, dead, 303 days 1339.2
TCGA-BC-A3KG-01A 68 years, female, white, stage:Stage II, alive, 680 days 1331.3
TCGA-BC-A10Q-01A 72 years, female, white, stage:'--, dead, 1135 days 1327.2
TCGA-CC-A8HS-01A 18 years, male, asian, stage:Stage IIIC, dead, 300 days 1326.5
TCGA-ZS-A9CG-01A 55 years, male, white, stage:Stage II, alive, 341 days 1324.9
TCGA-GJ-A3OU-01A 59 years, male, white, stage:Stage I, alive, 879 days 1324.7
TCGA-DD-A73D-01A 68 years, female, white, stage:Stage II, alive, 693 days 1322.0
TCGA-G3-A25T-01A 45 years, female, white, stage:Stage IIIA, alive, 1553 days 1313.7
TCGA-G3-A3CK-01A 61 years, male, asian, stage:Stage I, alive, 585 days 1310.5
TCGA-ZP-A9D4-01A 64 years, female, white, stage:'--, alive, 395 days 1306.1
TCGA-DD-AACX-01A 66 years, male, asian, stage:Stage II, alive, 170 days 1299.5
TCGA-ED-A459-01A 47 years, male, asian, stage:Stage II, alive, 910 days 1285.6
TCGA-ED-A7XO-01A 29 years, male, asian, stage:Stage IIIA, alive, 427 days 1284.3
TCGA-DD-AACH-01A 69 years, male, asian, stage:Stage II, dead, 195 days 1283.1
TCGA-DD-AAD3-01A 43 years, male, asian, stage:Stage I, alive, 1295 days 1281.1
TCGA-CC-A7IL-01A 61 years, male, asian, stage:Stage IIIA, dead, 278 days 1277.3
TCGA-2Y-A9H7-01A 81 years, female, white, stage:Stage I, alive, 1168 days 1273.4
TCGA-DD-AAVZ-01A 38 years, male, asian, stage:Stage I, alive, 1900 days 1260.3
TCGA-CC-A123-01A 24 years, female, asian, stage:Stage IIIA, alive, 219 days 1259.2
TCGA-ED-A627-01A 74 years, male, white, stage:Stage I, alive, 423 days 1257.8
TCGA-EP-A3RK-01A 73 years, male, white, stage:Stage IIIA, alive, 363 days 1257.5
TCGA-WQ-A9G7-01A 71 years, female, white, stage:'--, alive, 30 days 1256.8
TCGA-G3-AAV7-01A 38 years, male, asian, stage:Stage II, alive, 361 days 1255.0
TCGA-DD-AADO-01A 55 years, male, asian, stage:Stage I, alive, 453 days 1251.6
TCGA-DD-AAVR-01A 44 years, male, asian, stage:Stage I, alive, 2513 days 1251.0
TCGA-WX-AA44-01A 64 years, female, white, stage:Stage I, alive, 615 days 1241.4
TCGA-DD-A39W-01A 29 years, female, white, stage:Stage III, dead, 827 days 1233.9
TCGA-G3-A25X-01A 73 years, male, asian, stage:Stage II, alive, 1779 days 1232.5
TCGA-DD-AACJ-01A 75 years, male, asian, stage:Stage II, alive, 2102 days 1232.3
TCGA-RC-A7S9-01A 47 years, female, asian, stage:Stage I, alive, 640 days 1231.4
TCGA-ED-A66X-01A 35 years, male, asian, stage:Stage IIIA, alive, 406 days 1231.3
TCGA-BC-A10T-01A 76 years, male, white, stage:'--, dead, 837 days 1220.6
TCGA-DD-AAW3-01A 69 years, male, asian, stage:Stage I, alive, 1633 days 1219.7
TCGA-DD-AACV-01A 53 years, male, asian, stage:Stage I, alive, 1531 days 1216.8
TCGA-DD-AAE2-01A 51 years, male, asian, stage:Stage I, alive, 638 days 1210.0
TCGA-DD-A118-01A 77 years, female, white, stage:Stage II, alive, 3437 days 1208.2
TCGA-BC-A10W-01A 50 years, male, asian, stage:'--, dead, 91 days 1205.2
TCGA-CC-5263-01A 35 years, male, asian, stage:Stage IIIA, dead, 129 days 1202.2
TCGA-DD-A4NJ-01A 54 years, female, white, stage:Stage II, alive, 928 days 1196.6
TCGA-DD-A1EG-01A 76 years, male, white, stage:Stage I, dead, 1372 days 1192.9
TCGA-G3-AAUZ-01A 48 years, male, stage:Stage I, alive, 480 days 1191.5
TCGA-FV-A3I1-01A 81 years, female, white, stage:Stage II, dead, 247 days 1187.6
TCGA-DD-AADL-01A 58 years, male, asian, stage:Stage I, alive, 636 days 1185.4
TCGA-CC-A8HT-01A 74 years, male, asian, stage:Stage IIIA, dead, 140 days 1183.6
TCGA-MI-A75E-01A 61 years, male, white, stage:Stage IIIC, alive, 507 days 1176.0
TCGA-KR-A7K8-01A 57 years, male, stage:Stage I, alive, 906 days 1172.3
TCGA-RC-A7SH-01A 42 years, male, asian, stage:Stage II, alive, 468 days 1171.7
TCGA-UB-A7MA-01A 62 years, female, white, stage:Stage II, alive, 848 days 1170.8
TCGA-DD-AAEG-01A 59 years, female, asian, stage:Stage I, alive, 719 days 1168.6
TCGA-G3-A5SJ-01A 59 years, male, white, stage:Stage I, alive, 698 days 1161.3
TCGA-DD-AADQ-01A 59 years, male, asian, stage:Stage II, alive, 436 days 1154.8
TCGA-DD-A4NR-01A 85 years, female, white, stage:Stage I, dead, 9 days 1150.3
TCGA-2Y-A9HA-01A 70 years, male, white, stage:Stage II, dead, 36 days 1149.3
TCGA-ED-A7PZ-01A 61 years, male, asian, stage:Stage II, alive, 6 days 1144.5
TCGA-DD-AAVY-01A 56 years, male, asian, stage:Stage IIIA, alive, 1970 days 1143.2
TCGA-MI-A75I-01A 61 years, male, black or african american, stage:'--, alive, 630 days 1138.2
TCGA-FV-A2QQ-01A 80 years, male, white, stage:Stage I, alive, 729 days 1134.7
TCGA-BC-A10U-01A 69 years, male, white, stage:'--, dead, 837 days 1132.1
TCGA-XR-A8TD-01A 49 years, female, white, stage:Stage IIIB, alive, 1030 days 1127.3
TCGA-DD-A3A3-01A 45 years, male, asian, stage:Stage I, dead, 535 days 1115.5
TCGA-DD-A3A5-01A 66 years, female, white, stage:Stage III, dead, 3125 days 1113.5
TCGA-CC-A3MB-01A 36 years, male, asian, stage:Stage IIIA, dead, 315 days 1108.1
TCGA-ZP-A9D2-01A 51 years, male, white, stage:'--, dead, 765 days 1096.7
TCGA-DD-AACC-01A 61 years, male, asian, stage:Stage I, dead, 1685 days 1094.7
TCGA-DD-AADG-01A 70 years, male, asian, stage:Stage IIIA, alive, 1145 days 1094.5
TCGA-DD-A1EC-01A 20 years, female, white, stage:Stage I, alive, 602 days 1091.2
TCGA-FV-A23B-01A 70 years, female, white, stage:Stage II, dead, 1852 days 1090.4
TCGA-BD-A3EP-01A 75 years, female, black or african american, stage:Stage I, alive, 409 days 1088.5
TCGA-T1-A6J8-01A 68 years, male, white, stage:'--, alive, 23 days 1087.9
TCGA-2Y-A9H6-01A 68 years, female, white, stage:Stage I, alive, 357 days 1084.6
TCGA-5C-A9VH-01A 70 years, male, white, stage:Stage I, alive, 322 days 1083.9
TCGA-RC-A7SK-01A 59 years, male, asian, stage:Stage I, alive, 472 days 1079.0
TCGA-DD-A1EE-01A 73 years, male, white, stage:Stage IIIA, dead, 349 days 1077.7
TCGA-DD-AAVQ-01A 38 years, male, asian, stage:Stage I, alive, 2728 days 1072.6
TCGA-2Y-A9GZ-01A 82 years, female, white, stage:Stage II, dead, 848 days 1066.2
TCGA-XR-A8TG-01A 58 years, male, white, stage:Stage I, alive, 898 days 1061.9
TCGA-G3-A25S-01A 64 years, male, white, stage:Stage I, dead, 416 days 1061.5
TCGA-BC-A10Z-01A 62 years, female, white, stage:Stage I, dead, 34 days 1056.6
TCGA-5R-AAAM-01A 65 years, female, white, stage:Stage II, dead, 46 days 1052.5
TCGA-G3-A3CH-01A 53 years, male, asian, stage:Stage IIIA, alive, 780 days 1051.1
TCGA-DD-AAEH-01A 73 years, male, asian, stage:Stage I, alive, 784 days 1050.6
TCGA-BC-A10S-01A 81 years, male, white, stage:'--, dead, 1423 days 1046.6
TCGA-DD-AACY-01A 61 years, male, asian, stage:Stage I, alive, 1450 days 1046.1
TCGA-DD-AADA-01A 66 years, female, asian, stage:Stage I, alive, 1233 days 1043.7
TCGA-NI-A8LF-01A 74 years, male, white, stage:Stage I, alive, 799 days 1040.2
TCGA-ED-A97K-01A 54 years, male, asian, stage:Stage IIIA, alive, 6 days 1033.8
TCGA-DD-AAE1-01A 52 years, male, asian, stage:Stage I, alive, 552 days 1033.4
TCGA-DD-A73G-01A 73 years, female, white, stage:Stage I, alive, 3478 days 1025.0
TCGA-DD-AADY-01A 55 years, female, asian, stage:Stage I, alive, 555 days 1024.8
TCGA-DD-AAEI-01A 72 years, male, asian, stage:Stage I, alive, 1531 days 1021.1
TCGA-PD-A5DF-01A 58 years, female, white, stage:Stage IIIB, dead, 639 days 1020.1
TCGA-KR-A7K7-01A 61 years, female, white, stage:Stage II, alive, 951 days 1019.9
TCGA-GJ-A9DB-01A 68 years, male, white, stage:Stage I, dead, 67 days 1013.4
TCGA-5R-AA1D-01A 17 years, female, white, stage:Stage IIIA, alive, 449 days 1013.2
TCGA-WX-AA46-01A 61 years, male, white, stage:Stage II, alive, 756 days 1012.8
TCGA-DD-AADR-01A 58 years, male, asian, stage:Stage I, alive, 2028 days 1009.8
TCGA-DD-AADJ-01A 70 years, female, asian, stage:Stage I, alive, 1066 days 1006.3
TCGA-BC-A69I-01A 69 years, male, white, stage:Stage I, alive, 387 days 1002.5
TCGA-DD-A116-01A 68 years, male, asian, stage:Stage IIIA, dead, 1622 days 995.3
TCGA-DD-AACE-01A 62 years, male, asian, stage:Stage I, alive, 2184 days 989.9
TCGA-DD-A3A8-01A 75 years, male, white, stage:Stage II, dead, 11 days 984.9
TCGA-DD-AAD2-01A 66 years, male, asian, stage:Stage I, alive, 658 days 982.7
TCGA-FV-A495-01A 51 years, female, white, stage:Stage II, alive, 1 days 982.3
TCGA-ED-A4XI-01A 58 years, male, asian, stage:Stage II, alive, 819 days 982.1
TCGA-DD-AAVW-01A 35 years, male, asian, stage:Stage I, alive, 2317 days 980.3
TCGA-G3-A6UC-01A 65 years, male, white, stage:Stage IIIB, alive, 671 days 975.6
TCGA-XR-A8TE-01A 16 years, male, white, stage:Stage IIIA, alive, 925 days 973.4
TCGA-ZS-A9CD-01A 73 years, male, white, stage:Stage II, dead, 1386 days 973.0
TCGA-DD-AAEK-01A 51 years, male, asian, stage:Stage II, alive, 1067 days 971.9
TCGA-DD-AAE3-01A 50 years, male, asian, stage:Stage I, alive, 566 days 971.0
TCGA-DD-A3A9-01A 64 years, female, white, stage:Stage IVB, dead, 931 days 970.9
TCGA-ZS-A9CE-01A 79 years, female, white, stage:Stage II, alive, 1241 days 968.2
TCGA-FV-A4ZP-01A 78 years, male, white, stage:Stage IIIA, dead, 2486 days 963.9
TCGA-DD-A4NQ-01A 60 years, male, white, stage:Stage II, dead, 373 days 963.1
TCGA-DD-AAVV-01A 56 years, male, asian, stage:Stage II, alive, 2455 days 963.1
TCGA-DD-A73A-01A 71 years, male, white, stage:Stage I, alive, 728 days 961.5
TCGA-ED-A7XP-01A 53 years, female, asian, stage:Stage II, alive, 400 days 957.3
TCGA-2Y-A9GX-01A 68 years, male, white, stage:Stage I, alive, 2442 days 954.6
TCGA-DD-A119-01A 40 years, male, asian, stage:Stage IV, dead, 223 days 953.9
TCGA-DD-AAW0-01A 54 years, male, asian, stage:Stage I, alive, 2015 days 952.6
TCGA-EP-A2KC-01A 62 years, male, black or african american, stage:Stage I, dead, 19 days 945.7
TCGA-ZS-A9CF-01A 64 years, male, white, stage:Stage II, alive, 2412 days 944.8
TCGA-KR-A7K0-01A 65 years, male, white, stage:Stage I, dead, 65 days 944.6
TCGA-DD-A39V-01A 77 years, male, white, stage:Stage II, dead, 643 days 942.2
TCGA-4R-AA8I-01A 66 years, male, white, stage:Stage II, dead, 262 days 936.5
TCGA-G3-A25V-01A 68 years, male, white, stage:Stage I, alive, 860 days 935.4
TCGA-K7-A5RG-01A 66 years, male, black or african american, stage:Stage I, alive, 519 days 933.0
TCGA-ES-A2HS-01A 80 years, male, white, stage:Stage I, dead, 688 days 929.8
TCGA-DD-AADM-01A 58 years, male, asian, stage:Stage II, dead, 12 days 919.8
TCGA-ZP-A9D0-01A 67 years, female, black or african american, stage:'--, alive, 1091 days 918.5
TCGA-BC-A110-01A 51 years, female, black or african american, stage:'--, dead, 2116 days 918.0
TCGA-DD-AACS-01A 39 years, male, asian, stage:Stage I, alive, 1804 days 917.6
TCGA-G3-A5SI-01A 44 years, male, asian, stage:Stage II, dead, 768 days 916.1
TCGA-G3-AAV3-01A 58 years, female, white, stage:Stage II, alive, 412 days 914.0
TCGA-ED-A7PX-01A 48 years, female, asian, stage:Stage II, alive, 6 days 912.0
TCGA-DD-A4NE-01A 75 years, female, white, stage:Stage IIIA, dead, 660 days 909.8
TCGA-DD-A73C-01A 65 years, female, white, stage:Stage IIIA, alive, 701 days 900.3
TCGA-UB-AA0U-01A 60 years, male, white, stage:Stage II, alive, 327 days 892.0
TCGA-DD-AACD-01A 48 years, male, asian, stage:Stage I, dead, 381 days 883.0
TCGA-DD-AAVX-01A 38 years, male, asian, stage:Stage II, alive, 1718 days 875.4
TCGA-DD-AADU-01A 60 years, male, asian, stage:Stage II, alive, 554 days 875.0
TCGA-DD-AAE4-01A 49 years, female, asian, stage:Stage I, alive, 608 days 871.0
TCGA-2Y-A9H1-01A 58 years, male, white, stage:Stage I, dead, 1229 days 870.9
TCGA-2Y-A9HB-01A 66 years, male, stage:Stage I, alive, 260 days 870.8
TCGA-DD-A3A4-01A 37 years, male, white, stage:Stage IIIA, dead, 612 days 866.4
TCGA-ED-A7PY-01A 20 years, female, asian, stage:Stage II, alive, 390 days 865.1
TCGA-DD-A4NB-01A 25 years, male, white, stage:Stage I, alive, 989 days 864.4
TCGA-DD-A115-01A 53 years, male, white, stage:Stage IIIA, dead, 2542 days 860.9
TCGA-DD-A1EA-01A 68 years, male, asian, stage:Stage II, alive, 2415 days 860.8
TCGA-DD-AACI-01A 69 years, male, asian, stage:Stage II, alive, 1618 days 856.0
TCGA-CC-A7IH-01A 58 years, male, asian, stage:Stage IIIA, alive, 365 days 853.0
TCGA-BC-A3KF-01A 66 years, female, white, stage:Stage I, alive, 8 days 848.5
TCGA-DD-AAEA-01A 65 years, male, asian, stage:Stage I, alive, 575 days 847.2
TCGA-DD-AAW1-01A 55 years, male, asian, stage:Stage IIIA, alive, 1989 days 840.3
TCGA-RC-A6M5-01A 20 years, female, white, stage:Stage IVA, alive, 15 days 840.2
TCGA-WX-AA47-01A 33 years, female, white, stage:Stage IIIA, dead, 556 days 838.7
TCGA-LG-A6GG-01A 79 years, female, white, stage:Stage II, alive, 387 days 834.9
TCGA-DD-A4NF-01A 72 years, male, white, stage:Stage I, alive, 942 days 833.4
TCGA-UB-AA0V-01A 69 years, female, white, stage:Stage I, alive, 314 days 825.8
TCGA-G3-AAV0-01A 58 years, male, asian, stage:Stage I, alive, 476 days 822.8
TCGA-DD-AAEB-01A 60 years, male, asian, stage:Stage I, alive, 478 days 821.8
TCGA-G3-A5SL-01A 70 years, male, white, stage:Stage II, alive, 621 days 820.5
TCGA-UB-A7MD-01A 67 years, male, black or african american, stage:Stage I, dead, 52 days 819.7
TCGA-3K-AAZ8-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 396 days 816.7
TCGA-ZP-A9CZ-01A 72 years, male, asian, stage:'--, alive, 706 days 816.6
TCGA-DD-A4NP-01A 32 years, male, white, stage:Stage I, alive, 3308 days 813.0
TCGA-MR-A8JO-01A 34 years, male, white, stage:Stage I, alive, 330 days 812.0
TCGA-O8-A75V-01A 54 years, male, stage:Stage I, alive, 538 days 806.9
TCGA-2Y-A9H5-01A 59 years, female, white, stage:Stage I, dead, 555 days 805.0
TCGA-DD-AAD0-01A 73 years, female, asian, stage:Stage I, alive, 137 days 804.2
TCGA-G3-A3CJ-01A 52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days 803.0
TCGA-FV-A3R3-01A 38 years, female, white, stage:Stage I, dead, 366 days 800.0
TCGA-G3-A7M7-01A 65 years, male, white, stage:Stage I, alive, 361 days 797.5
TCGA-G3-A25Z-01A 58 years, male, asian, stage:Stage I, alive, 655 days 795.1
TCGA-CC-A3MC-01A 54 years, male, asian, stage:Stage IIIA, alive, 363 days 790.9
TCGA-DD-A4ND-01A 56 years, female, white, stage:Stage I, alive, 2746 days 788.8
TCGA-K7-A6G5-01A 66 years, male, white, stage:Stage I, alive, 512 days 788.8
TCGA-DD-AACT-01A 69 years, female, asian, stage:Stage I, alive, 1562 days 785.2
TCGA-UB-A7MC-01A 59 years, male, white, stage:Stage IIIA, alive, 500 days 781.2
TCGA-G3-A3CG-01A 80 years, male, white, stage:Stage I, alive, 673 days 779.6
TCGA-DD-A113-01A 55 years, female, white, stage:Stage II, alive, 2425 days 777.7
TCGA-DD-A4NA-01A 67 years, female, white, stage:Stage IIIC, alive, 1008 days 775.8
TCGA-DD-AADK-01A 68 years, female, asian, stage:Stage II, alive, 1049 days 773.8
TCGA-FV-A496-01A 84 years, female, white, stage:Stage I, alive, 10 days 771.3
TCGA-BC-A10X-01A 52 years, female, white, stage:Stage IIIA, dead, 770 days 769.5
TCGA-EP-A12J-01A 62 years, male, black or african american, stage:Stage I, alive, 570 days 767.5
TCGA-DD-AACO-01A 40 years, male, asian, stage:Stage I, alive, 1876 days 763.3
TCGA-DD-A3A7-01A 67 years, male, stage:Stage IIIB, dead, 419 days 741.8
TCGA-FV-A2QR-01A 75 years, male, white, stage:Stage I, dead, 581 days 737.8
TCGA-UB-A7MF-01A 56 years, male, white, stage:Stage IIIA, dead, 214 days 737.6
TCGA-2Y-A9H4-01A 68 years, male, black or african american, stage:Stage I, alive, 1452 days 734.7
TCGA-NI-A4U2-01A 71 years, male, white, stage:Stage IIIA, dead, 1791 days 734.0
TCGA-DD-AADF-01A 64 years, female, asian, stage:Stage I, dead, 115 days 733.4
TCGA-DD-AADS-01A 63 years, male, asian, stage:Stage I, alive, 474 days 726.6
TCGA-CC-A7IF-01A 59 years, male, asian, stage:Stage IIIA, dead, 649 days 726.5
TCGA-EP-A3JL-01A 76 years, male, white, stage:Stage I, alive, 303 days 725.4
TCGA-DD-A11C-01A 69 years, male, white, stage:Stage I, alive, 662 days 724.6
TCGA-DD-A4NK-01A 80 years, female, white, stage:Stage IIIA, dead, 1210 days 721.1
TCGA-KR-A7K2-01A 64 years, male, white, stage:Stage I, alive, 829 days 719.7
TCGA-2Y-A9H0-01A 49 years, male, white, stage:Stage IIIA, alive, 3675 days 719.3
TCGA-2Y-A9GW-01A 64 years, male, white, stage:Stage I, dead, 1271 days 718.6
TCGA-DD-A1ED-01A 68 years, male, white, stage:Stage I, alive, 2301 days 706.1
TCGA-DD-A3A1-01A 65 years, male, stage:Stage IIIA, dead, 233 days 706.1
TCGA-G3-A7M5-01A 76 years, male, asian, stage:Stage I, alive, 447 days 705.5
TCGA-WQ-AB4B-01A 62 years, male, white, stage:Stage II, alive, 395 days 700.9
TCGA-DD-A11B-01A 73 years, male, white, stage:Stage I, dead, 14 days 692.2
TCGA-DD-A1EB-01A 72 years, female, stage:Stage I, alive, 2017 days 690.9
TCGA-BD-A2L6-01A 69 years, male, white, stage:'--, alive, 1363 days 690.4
TCGA-RC-A7SF-01A 66 years, male, asian, stage:Stage I, alive, 579 days 685.6
TCGA-DD-A1EK-01A 64 years, female, white, stage:Stage IVB, dead, 558 days 683.2
TCGA-G3-A3CI-01A 71 years, male, white, stage:Stage I, alive, 180 days 679.8
TCGA-ZP-A9CV-01A 59 years, male, white, stage:'--, dead, 1088 days 676.5
TCGA-HP-A5MZ-01A 78 years, male, stage:Stage I, dead, 91 days 674.7
TCGA-CC-A9FS-01A 55 years, male, asian, stage:Stage II, alive, 211 days 672.0
TCGA-2Y-A9H9-01A 70 years, male, white, stage:Stage I, alive, 697 days 671.9
TCGA-2Y-A9H2-01A 64 years, female, white, stage:Stage I, alive, 1731 days 669.9
TCGA-G3-A5SM-01A 58 years, male, white, stage:Stage II, alive, 520 days 667.5
TCGA-DD-AAE7-01A 72 years, male, asian, stage:Stage I, alive, 644 days 665.3
TCGA-DD-A3A2-01A 76 years, female, white, stage:Stage I, dead, 2131 days 665.0
TCGA-DD-A11D-01A 57 years, female, white, stage:Stage I, dead, 1560 days 663.3
TCGA-DD-A73F-01A 77 years, female, white, stage:Stage I, alive, 1085 days 660.5
TCGA-RC-A7SB-01A 53 years, male, asian, stage:Stage II, alive, 588 days 659.4
TCGA-DD-A4NG-01A 77 years, male, white, stage:Stage IIIA, dead, 802 days 655.8
TCGA-CC-5259-01A 60 years, female, asian, stage:Stage IIIC, alive, 250 days 647.9
TCGA-MR-A520-01A 58 years, male, white, stage:Stage I, alive, 229 days 643.6
TCGA-XR-A8TC-01A 43 years, female, white, stage:Stage I, alive, 1339 days 638.8
TCGA-ZP-A9D1-01A 56 years, female, white, stage:'--, alive, 21 days 632.3
TCGA-DD-A3A6-01A 72 years, female, white, stage:Stage II, dead, 3258 days 630.2
TCGA-DD-AAC9-01A 51 years, male, asian, stage:Stage I, alive, 347 days 623.6
TCGA-5C-AAPD-01A 61 years, male, asian, stage:Stage II, alive, 20 days 621.7
TCGA-DD-A4NH-01A 65 years, female, white, stage:Stage IIIB, alive, 917 days 615.4
TCGA-2Y-A9GV-01A 54 years, female, white, stage:Stage I, dead, 2532 days 610.2
TCGA-BC-A10R-01A 66 years, female, white, stage:'--, dead, 308 days 605.4
TCGA-DD-A4NO-01A 65 years, male, white, stage:Stage I, alive, 2245 days 604.9
TCGA-2Y-A9H3-01A 45 years, male, white, stage:Stage II, alive, 1516 days 601.7
TCGA-BD-A3ER-01A 62 years, male, white, stage:Stage II, alive, 1115 days 601.3
TCGA-G3-A7M8-01A 31 years, male, asian, stage:Stage I, alive, 430 days 595.6
TCGA-K7-A5RF-01A 64 years, male, white, stage:Stage I, alive, 631 days 595.4
TCGA-WJ-A86L-01A 68 years, female, white, stage:Stage I, alive, 345 days 594.0
TCGA-ZP-A9CY-01A 66 years, female, white, stage:'--, alive, 782 days 591.9
TCGA-GJ-A6C0-01A 75 years, female, white, stage:Stage II, dead, 31 days 583.6
TCGA-2Y-A9GU-01A 55 years, female, white, stage:Stage I, alive, 1939 days 573.6
TCGA-LG-A9QD-01A 68 years, male, white, stage:Stage IIIA, alive, 366 days 573.6
TCGA-DD-A4NL-01A 46 years, male, white, stage:Stage I, alive, 1711 days 561.3
TCGA-DD-A73B-01A 72 years, female, white, stage:Stage I, dead, 283 days 517.3
TCGA-DD-A4NI-01A 67 years, male, white, stage:Stage II, alive, 816 days 497.7
TCGA-2Y-A9GT-01A 51 years, male, white, stage:Stage I, dead, 1624 days 486.7
TCGA-ES-A2HT-01A 54 years, male, black or african american, stage:Stage I, dead, 438 days 464.7
TCGA-2Y-A9H8-01A 85 years, female, white, stage:'--, dead, 633 days 430.8
TCGA-G3-A5SK-01A 58 years, male, white, stage:Stage I, alive, 744 days 420.3
TCGA-LG-A9QC-01A 48 years, male, white, stage:Stage I, alive, 425 days 386.1
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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.

RPL15 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.

: 798.27
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 231
Samples
Sample Description pTPM
DO45093 71 years, male, NA, stage:2, dead, 720 days 1661.8
DO45189 85 years, female, NA, stage:2, alive, 1200 days 1647.2
DO45239 42 years, male, NA, stage:2, alive, 870 days 1470.1
DO50785 37 years, male, NA, stage:4, dead, 90 days 1301.8
DO45127 73 years, male, NA, stage:3, dead, 420 days 1298.1
DO23515 71 years, male, NA, stage:2, alive, 1230 days 1280.6
DO50815 62 years, male, NA, stage:3, alive, 150 days 1279.8
DO45251 57 years, female, NA, stage:2, alive, 900 days 1197.7
DO45193 68 years, female, NA, stage:4, dead, 120 days 1166.1
DO45279 67 years, male, NA, stage:3, alive, 1290 days 1162.1
DO48715 58 years, female, NA, stage:2, dead, 690 days 1159.1
DO23530 53 years, male, NA, stage:4, dead, 180 days 1155.4
DO23533 61 years, male, NA, stage:2, alive, 900 days 1117.0
DO45161 74 years, male, NA, stage:2, dead, 540 days 1096.5
DO23545 67 years, male, NA, stage:2, dead, 570 days 1073.7
DO45209 70 years, male, NA, stage:4, alive, 1350 days 1070.0
DO23516 69 years, male, NA, stage:3, dead, 20 days 1067.8
DO45249 57 years, male, NA, stage:1, alive, 630 days 1045.6
DO45303 62 years, female, NA, stage:3, alive, 990 days 1040.5
DO50855 47 years, male, NA, stage:2, alive, 570 days 1030.6
DO48682 72 years, female, NA, stage:3, dead, 120 days 1021.4
DO50859 77 years, male, NA, stage:2, alive, 180 days 1017.7
DO45211 76 years, male, NA, stage:3, alive, 240 days 1016.4
DO45217 69 years, female, NA, stage:3, dead, 270 days 1014.9
DO48730 73 years, female, NA, stage:2, alive, 630 days 984.9
DO45269 59 years, male, NA, stage:3, alive, 750 days 979.2
DO45259 65 years, male, NA, stage:3, alive, 330 days 973.2
DO50799 66 years, female, NA, stage:2, alive, 540 days 963.2
DO50778 60 years, male, NA, stage:4, alive, 630 days 952.6
DO50806 70 years, male, NA, stage:4, alive, 540 days 951.9
DO45267 73 years, male, NA, stage:3, dead, 570 days 921.4
DO45247 31 years, female, NA, stage:2, alive, 210 days 919.8
DO45307 54 years, female, NA, stage:4, dead, 240 days 917.6
DO48751 68 years, male, NA, stage:2, dead, 480 days 909.7
DO23519 65 years, male, NA, stage:3, alive, 630 days 902.0
DO45173 63 years, male, NA, stage:3, alive, 1170 days 901.4
DO50816 63 years, male, NA, stage:2, alive, 390 days 896.4
DO48720 62 years, female, NA, stage:2, alive, 570 days 891.3
DO45219 78 years, male, NA, stage:2, alive, 1080 days 890.7
DO23528 45 years, female, NA, stage:2, alive, 1020 days 860.9
DO45135 77 years, male, NA, stage:1, alive, 1410 days 858.7
DO45205 67 years, female, NA, stage:2, dead, 90 days 858.7
DO50802 49 years, male, NA, stage:2, alive, 930 days 853.3
DO45163 76 years, male, NA, stage:2, alive, 960 days 851.7
DO23537 79 years, male, NA, stage:2, dead, 900 days 839.6
DO45119 74 years, male, NA, stage:3, dead, 510 days 816.4
DO45113 58 years, male, NA, stage:3, alive, 1560 days 816.3
DO48697 64 years, female, NA, stage:2, dead, 810 days 815.9
DO48747 62 years, male, NA, stage:3, alive, 540 days 813.9
DO48706 72 years, male, NA, stage:2, alive, 870 days 798.7
DO50791 79 years, female, NA, stage:1, dead, 480 days 798.3
DO45265 73 years, male, NA, stage:3, alive, 1020 days 793.1
DO45185 89 years, male, NA, stage:2, alive, 600 days 791.8
DO48757 68 years, female, NA, stage:3, alive, 480 days 779.6
DO23542 66 years, male, NA, stage:3, alive, 960 days 776.6
DO45213 58 years, male, NA, stage:1, alive, 1200 days 775.2
DO45287 74 years, male, NA, stage:1, alive, 390 days 770.5
DO45097 69 years, male, NA, stage:3, alive, 1620 days 768.1
DO45191 61 years, female, NA, stage:2, alive, 1200 days 765.7
DO45231 84 years, male, NA, stage:2, alive, 930 days 757.2
DO50809 56 years, male, NA, stage:3, dead, 720 days 750.7
DO48732 73 years, male, NA, stage:3, alive, 630 days 747.7
DO45139 63 years, male, NA, stage:3, alive, 1320 days 743.7
DO48672 81 years, male, NA, stage:2, alive, 450 days 743.2
DO48681 57 years, male, NA, stage:2, alive, 900 days 741.8
DO45165 75 years, male, NA, stage:2, alive, 690 days 739.6
DO45225 69 years, male, NA, stage:1, alive, 1050 days 736.6
DO45221 75 years, female, NA, stage:4, dead, 390 days 736.0
DO23523 52 years, male, NA, stage:3, alive, 1080 days 731.3
DO23536 56 years, male, NA, stage:2, alive, 930 days 726.8
DO45299 70 years, female, NA, stage:1, alive, 1440 days 725.3
DO45183 72 years, female, NA, stage:2, dead, 570 days 722.6
DO45305 66 years, male, NA, stage:4, alive, 300 days 719.6
DO45131 53 years, male, NA, stage:4, dead, 360 days 718.3
DO50844 75 years, male, NA, stage:4, alive, 300 days 718.2
DO45261 74 years, male, NA, stage:3, alive, 990 days 713.3
DO23547 74 years, male, NA, stage:1, alive, 1020 days 710.3
DO23525 71 years, male, NA, stage:4, alive, 1050 days 710.1
DO45237 58 years, male, NA, stage:2, alive, 900 days 702.6
DO45169 74 years, male, NA, stage:3, alive, 1350 days 702.0
DO45301 56 years, male, NA, stage:2, dead, 1440 days 701.5
DO50850 74 years, male, NA, stage:3, alive, 720 days 701.1
DO48736 76 years, female, NA, stage:1, alive, 600 days 699.0
DO45273 62 years, male, NA, stage:2, alive, 480 days 698.4
DO45203 71 years, female, NA, stage:2, alive, 1170 days 696.5
DO48723 73 years, male, NA, stage:1, alive, 600 days 695.0
DO45289 78 years, female, NA, stage:3, alive, 360 days 693.9
DO50811 62 years, male, NA, stage:1, alive, 450 days 693.3
DO23521 63 years, male, NA, stage:3, alive, 1110 days 692.8
DO45187 32 years, female, NA, stage:1, alive, 1260 days 690.7
DO45179 78 years, female, NA, stage:2, alive, 600 days 690.6
DO48759 73 years, male, NA, stage:3, alive, 720 days 690.3
DO45157 62 years, male, NA, stage:2, alive, 1980 days 689.1
DO45103 47 years, male, NA, stage:3, alive, 450 days 688.5
DO45141 73 years, male, NA, stage:2, alive, 1320 days 687.7
DO23508 79 years, female, NA, stage:2, alive, 390 days 684.7
DO45285 59 years, male, NA, stage:3, alive, 480 days 679.9
DO45281 83 years, male, NA, stage:4, alive, 750 days 679.9
DO48737 52 years, male, NA, stage:1, alive, 720 days 677.9
DO50813 56 years, male, NA, stage:2, alive, 420 days 677.6
DO23548 78 years, female, NA, stage:1, alive, 840 days 670.9
DO45175 74 years, male, NA, stage:2, alive, 1140 days 662.9
DO45095 66 years, male, NA, stage:2, alive, 1620 days 650.4
DO45283 60 years, male, NA, stage:3, alive, 510 days 648.4
DO45227 57 years, female, NA, stage:2, alive, 1020 days 642.7
DO45092 62 years, male, NA, stage:4, dead, 1200 days 638.7
DO50800 74 years, male, NA, stage:2, alive, 510 days 637.2
DO50820 77 years, female, NA, stage:3, alive, 510 days 636.8
DO50814 83 years, male, NA, stage:3, alive, 420 days 636.7
DO48728 74 years, female, NA, stage:2, alive, 150 days 635.1
DO48712 50 years, male, NA, stage:2, alive, 810 days 633.6
DO45253 50 years, male, NA, stage:2, alive, 870 days 632.0
DO23543 63 years, male, NA, stage:2, alive, 1020 days 624.0
DO48677 58 years, male, NA, stage:3, alive, 1140 days 621.5
DO45201 49 years, male, NA, stage:1, alive, 900 days 620.9
DO50822 66 years, male, NA, stage:2, alive, 510 days 614.1
DO23540 73 years, male, NA, stage:1, alive, 750 days 611.9
DO48725 66 years, male, NA, stage:1, alive, 780 days 604.9
DO50793 76 years, male, NA, stage:4, alive, 540 days 601.6
DO45275 65 years, male, NA, stage:3, dead, 10 days 596.3
DO48727 81 years, female, NA, stage:2, dead, 390 days 590.6
DO48733 72 years, male, NA, stage:2, alive, 600 days 587.6
DO45257 46 years, male, NA, stage:3, alive, 810 days 587.2
DO45177 81 years, female, NA, stage:3, alive, 1260 days 585.5
DO50805 72 years, male, NA, stage:2, alive, 690 days 585.5
DO45223 67 years, male, NA, stage:4, alive, 1020 days 582.1
DO45199 86 years, female, NA, stage:2, alive, 1350 days 582.1
DO45145 78 years, male, NA, stage:3, dead, 60 days 577.8
DO45121 61 years, male, NA, stage:3, alive, 1530 days 576.7
DO48717 54 years, male, NA, stage:4, dead, 180 days 574.5
DO23510 80 years, female, NA, stage:2, alive, 870 days 570.4
DO48700 78 years, female, NA, stage:2, alive, 810 days 569.6
DO227801 77 years, female, NA, stage:1, alive, 660 days 564.8
DO45243 74 years, female, NA, stage:3, alive, 930 days 560.6
DO45297 61 years, female, NA, stage:4, dead, 1260 days 558.9
DO50783 62 years, male, NA, stage:3, alive, 480 days 558.7
DO48719 80 years, male, NA, stage:2, alive, 690 days 549.6
DO48741 64 years, male, NA, stage:3, alive, 240 days 542.6
DO45137 38 years, male, NA, stage:1, alive, 1320 days 542.2
DO23511 83 years, female, NA, stage:3, dead, 180 days 541.1
DO45171 56 years, male, NA, stage:3, alive, 600 days 539.4
DO45241 49 years, male, NA, stage:1, alive, 1080 days 536.6
DO45277 64 years, male, NA, stage:3, alive, 600 days 530.7
DO48746 76 years, male, NA, stage:3, alive, 570 days 528.4
DO23546 63 years, male, NA, stage:2, alive, 1050 days 526.6
DO23535 67 years, male, NA, stage:1, alive, 960 days 521.0
DO50829 78 years, male, NA, stage:3, alive, 570 days 512.8
DO23514 64 years, male, NA, stage:2, alive, 1290 days 512.1
DO45153 77 years, female, NA, stage:2, alive, 1380 days 509.1
DO23538 67 years, male, NA, stage:2, alive, 450 days 504.8
DO23549 74 years, male, NA, stage:3, alive, 990 days 501.4
DO48695 77 years, male, NA, stage:2, alive, 720 days 496.1
DO23526 66 years, male, NA, stage:3, alive, 1050 days 492.3
DO23539 77 years, male, NA, stage:1, alive, 1110 days 488.8
DO45155 69 years, male, NA, stage:2, alive, 2160 days 488.1
DO45245 75 years, female, NA, stage:2, dead, 240 days 486.6
DO45207 68 years, male, NA, stage:1, alive, 1050 days 486.5
DO45229 74 years, male, NA, stage:1, alive, 990 days 485.4
DO50825 70 years, male, NA, stage:2, alive, 390 days 481.8
DO45143 69 years, male, NA, stage:3, alive, 1290 days 480.4
DO45117 73 years, female, NA, stage:2, dead, 1110 days 479.4
DO50817 75 years, male, NA, stage:2, alive, 390 days 478.0
DO50807 67 years, male, NA, stage:1, alive, 540 days 476.8
DO50804 81 years, male, NA, stage:2, alive, 720 days 473.9
DO23513 76 years, male, NA, stage:3, alive, 1200 days 465.1
DO50787 63 years, male, NA, stage:3, alive, 480 days 463.2
DO45233 83 years, male, NA, stage:3, alive, 900 days 462.7
DO50857 72 years, male, NA, stage:2, alive, 210 days 457.4
DO45091 56 years, male, NA, stage:2, dead, 1320 days 456.3
DO48721 58 years, female, NA, stage:1, alive, 900 days 451.2
DO45159 65 years, male, NA, stage:3, alive, 1470 days 442.6
DO50774 68 years, female, NA, stage:2, alive, 720 days 442.3
DO50819 72 years, female, NA, stage:2, alive, 510 days 437.4
DO45181 84 years, female, NA, stage:2, alive, 1200 days 432.1
DO23524 71 years, female, NA, stage:2, alive, 1050 days 428.2
DO23529 72 years, male, NA, stage:4, alive, 930 days 427.7
DO50818 65 years, male, NA, stage:2, alive, 510 days 420.6
DO227643 79 years, male, NA, stage:2, alive, 1260 days 419.4
DO48761 55 years, male, NA, stage:2, alive, 870 days 418.3
DO45255 81 years, male, NA, stage:3, alive, 720 days 416.5
DO48704 68 years, female, NA, stage:3, alive, 750 days 415.2
DO50776 75 years, male, NA, stage:1, alive, 690 days 414.5
DO50798 77 years, male, NA, stage:3, dead, 30 days 411.6
DO48743 69 years, female, NA, stage:2, alive, 570 days 407.5
DO45109 63 years, male, NA, stage:2, alive, 1590 days 405.1
DO23541 65 years, male, NA, stage:2, alive, 930 days 402.4
DO50789 73 years, female, NA, stage:2, alive, 570 days 398.3
DO48693 71 years, male, NA, stage:2, alive, 900 days 398.2
DO48716 71 years, male, NA, stage:2, alive, 720 days 397.6
DO45235 68 years, female, NA, stage:1, alive, 900 days 392.3
DO48679 72 years, male, NA, stage:2, alive, 1200 days 389.3
DO45099 46 years, male, NA, stage:3, alive, 1590 days 387.4
DO45125 58 years, male, NA, stage:3, alive, 1680 days 385.4
DO45123 78 years, female, NA, stage:2, dead, 570 days 384.7
DO23512 60 years, male, NA, stage:1, alive, 1260 days 383.9
DO23534 60 years, male, NA, stage:2, alive, 840 days 379.5
DO23509 60 years, male, NA, stage:3, dead, 780 days 370.4
DO45133 64 years, male, NA, stage:3, dead, 660 days 366.8
DO50832 73 years, male, NA, stage:3, alive, 90 days 366.3
DO23544 67 years, male, NA, stage:2, alive, 960 days 364.5
DO45129 61 years, male, NA, stage:3, alive, 1470 days 364.2
DO23531 78 years, female, NA, stage:3, alive, 900 days 362.2
DO45263 67 years, male, NA, stage:3, dead, 270 days 361.9
DO45094 76 years, male, NA, stage:3, alive, 1650 days 361.7
DO23527 72 years, male, NA, stage:1, alive, 1050 days 358.8
DO23551 73 years, male, NA, stage:3, dead, 150 days 357.8
DO45096 69 years, male, NA, stage:2, dead, 1290 days 357.2
DO50840 49 years, male, NA, stage:2, alive, 330 days 352.8
DO45197 51 years, male, NA, stage:2, alive, 1170 days 352.3
DO45215 65 years, male, NA, stage:2, alive, 1170 days 343.2
DO48742 76 years, male, NA, stage:2, alive, 600 days 342.8
DO45115 81 years, male, NA, stage:2, alive, 840 days 341.2
DO23517 62 years, male, NA, stage:2, alive, 1200 days 339.9
DO50803 62 years, female, NA, stage:1, alive, 540 days 336.1
DO50839 47 years, female, NA, stage:3, alive, 330 days 333.7
DO48701 78 years, male, NA, stage:2, alive, 780 days 331.0
DO23552 80 years, female, NA, stage:1, alive, 810 days 329.5
DO50808 68 years, male, NA, stage:2, alive, 570 days 328.8
DO45101 63 years, male, NA, stage:2, alive, 1680 days 328.2
DO45105 61 years, male, NA, stage:1, alive, 1680 days 322.7
DO48760 70 years, female, NA, stage:2, alive, 690 days 313.8
DO50845 72 years, male, NA, stage:3, alive, 210 days 312.8
DO23550 69 years, male, NA, stage:1, alive, 990 days 311.4
DO45111 74 years, male, NA, stage:2, alive, 1590 days 310.1
DO48674 80 years, male, NA, stage:2, alive, 1260 days 294.1
DO23532 71 years, female, NA, stage:1, alive, 960 days 292.1
DO23518 67 years, male, NA, stage:2, alive, 1320 days 290.8
DO45195 62 years, male, NA, stage:1, alive, 390 days 270.8
DO45149 70 years, female, NA, stage:2, alive, 1260 days 263.7
DO45107 63 years, female, NA, stage:2, alive, 1710 days 177.1
DO45167 67 years, male, NA, stage:2, dead, 1440 days 173.1
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LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples 330
Samples
Sample ID Sample type nRPX
557 Tumor 0.8
537 Tumor 0.6
367 Tumor 0.5
1021 Tumor 0.5
567 Tumor 0.5
661 Tumor 0.5
467 Tumor 0.4
937 Tumor 0.4
851 Tumor 0.4
523 Tumor 0.4
327 Tumor 0.4
685 Tumor 0.4
331 Tumor 0.4
135 Tumor 0.4
395 Tumor 0.4
223 Tumor 0.4
353 Tumor 0.4
113 Tumor 0.4
955 Tumor 0.4
815 Tumor 0.3
285 Tumor 0.3
227 Tumor 0.3
983 Tumor 0.3
558 Normal 0.3
131 Tumor 0.3
865 Tumor 0.3
824 Normal 0.3
1027 Tumor 0.3
413 Tumor 0.3
617 Tumor 0.3
978 Normal 0.3
267 Tumor 0.3
545 Tumor 0.3
636 Normal 0.3
572 Normal 0.3
965 Tumor 0.3
756 Normal 0.3
517 Tumor 0.3
573 Tumor 0.3
745 Tumor 0.3
981 Tumor 0.3
515 Tumor 0.3
191 Tumor 0.3
136 Normal 0.3
944 Normal 0.3
951 Tumor 0.3
1031 Tumor 0.3
443 Tumor 0.3
524 Normal 0.2
1014 Normal 0.2
777 Tumor 0.2
332 Normal 0.2
393 Tumor 0.2
145 Tumor 0.2
938 Normal 0.2
414 Normal 0.2
568 Normal 0.2
518 Normal 0.2
232 Normal 0.2
466 Normal 0.2
526 Normal 0.2
864 Normal 0.2
314 Normal 0.2
957 Tumor 0.2
696 Normal 0.2
858 Normal 0.2
1046 Normal 0.2
212 Normal 0.2
984 Normal 0.2
257 Tumor 0.2
376 Normal 0.2
564 Normal 0.2
214 Normal 0.2
918 Normal 0.2
525 Tumor 0.2
427 Tumor 0.2
436 Normal 0.2
533 Tumor 0.2
431 Tumor 0.2
527 Tumor 0.2
671 Tumor 0.2
448 Normal 0.2
172 Normal 0.2
778 Normal 0.2
196 Normal 0.2
142 Normal 0.2
724 Normal 0.2
954 Normal 0.2
481 Tumor 0.2
535 Tumor 0.2
312 Normal 0.2
1026 Normal 0.2
866 Normal 0.2
926 Normal 0.2
218 Normal 0.2
882 Normal 0.2
1025 Tumor 0.2
286 Normal 0.2
358 Normal 0.2
385 Tumor 0.2
628 Normal 0.2
213 Tumor 0.2
755 Tumor 0.2
923 Tumor 0.2
455 Tumor 0.2
284 Normal 0.2
1042 Normal 0.2
471 Tumor 0.2
497 Tumor 0.2
425 Tumor 0.2
195 Tumor 0.2
421 Tumor 0.2
434 Normal 0.2
1032 Normal 0.2
352 Normal 0.2
953 Tumor 0.2
221 Tumor 0.2
852 Normal 0.2
513 Tumor 0.2
222 Normal 0.2
528 Normal 0.2
922 Normal 0.2
422 Normal 0.2
433 Tumor 0.2
424 Normal 0.2
982 Normal 0.2
1015 Tumor 0.2
571 Tumor 0.2
727 Tumor 0.2
187 Tumor 0.2
362 Normal 0.2
478 Normal 0.2
713 Tumor 0.2
387 Tumor 0.2
426 Normal 0.2
432 Normal 0.2
494 Normal 0.1
351 Tumor 0.1
356 Normal 0.1
298 Normal 0.1
114 Normal 0.1
1044 Normal 0.1
162 Normal 0.1
272 Normal 0.1
546 Normal 0.1
715 Tumor 0.1
722 Normal 0.1
665 Tumor 0.1
111 Normal 0.1
664 Normal 0.1
412 Normal 0.1
662 Normal 0.1
148 Normal 0.1
743 Tumor 0.1
451 Tumor 0.1
818 Normal 0.1
534 Normal 0.1
128 Normal 0.1
228 Normal 0.1
516 Normal 0.1
873 Tumor 0.1
262 Normal 0.1
785 Tumor 0.1
462 Normal 0.1
261 Tumor 0.1
258 Normal 0.1
728 Normal 0.1
137 Tumor 0.1
446 Normal 0.1
231 Tumor 0.1
536 Normal 0.1
514 Normal 0.1
186 Normal 0.1
171 Tumor 0.1
686 Normal 0.1
411 Tumor 0.1
648 Normal 0.1
746 Normal 0.1
217 Tumor 0.1
1028 Normal 0.1
563 Tumor 0.1
697 Tumor 0.1
278 Normal 0.1
123 Tumor 0.1
786 Normal 0.1
423 Tumor 0.1
966 Normal 0.1
958 Normal 0.1
138 Normal 0.1
132 Normal 0.1
474 Normal 0.1
124 Normal 0.1
1022 Normal 0.1
1016 Normal 0.1
328 Normal 0.1
574 Normal 0.1
447 Tumor 0.1
916 Normal 0.1
943 Tumor 0.1
554 Normal 0.1
738 Normal 0.1
618 Normal 0.1
355 Tumor 0.1
468 Normal 0.1
737 Tumor 0.1
277 Tumor 0.1
924 Normal 0.1
428 Normal 0.1
464 Normal 0.1
698 Normal 0.1
224 Normal 0.1
878 Normal 0.1
488 Normal 0.1
862 Normal 0.1
647 Tumor 0.1
714 Normal 0.1
375 Tumor 0.1
188 Normal 0.1
967 Tumor 0.1
126 Normal 0.1
817 Tumor 0.1
484 Normal 0.1
723 Tumor 0.1
976 Normal 0.1
297 Tumor 0.1
364 Normal 0.1
952 Normal 0.1
968 Normal 0.1
211 Tumor 0.1
146 Normal 0.1
394 Normal 0.1
695 Tumor 0.1
271 Tumor 0.1
452 Normal 0.1
392 Normal 0.1
147 Tumor 0.0
912 Normal 0.0
342 Normal 0.0
493 Tumor 0.0
881 Tumor 0.0
857 Tumor 0.0
964 Normal 0.0
456 Normal 0.0
915 Tumor 0.0
716 Normal 0.0
465 Tumor 0.0
472 Normal 0.0
1013 Tumor 0.0
492 Normal 0.0
663 Tumor 0.0
141 Tumor 0.0
482 Normal 0.0
344 Normal 0.0
672 Normal 0.0
112 Tumor 0.0
463 Tumor 0.0
616 Normal 0.0
1043 Tumor 0.0
913 Tumor 0.0
975 Tumor 0.0
823 Tumor 0.0
354 Normal 0.0
921 Tumor 0.0
313 Tumor 0.0
666 Normal 0.0
384 Normal 0.0
884 Normal 0.0
477 Tumor 0.0
861 Tumor 0.0
874 Normal 0.0
721 Tumor 0.0
1041 Tumor 0.0
538 Normal 0.0
483 Tumor 0.0
553 Tumor 0.0
368 Normal 0.0
867 Tumor 0.0
816 Normal 0.0
341 Tumor 0.0
161 Tumor 0.0
185 Tumor 0.0
642 Normal 0.0
357 Tumor 0.0
363 Tumor 0.0
742 Normal 0.0
956 Normal 0.0
814 Normal 0.0
127 Tumor 0.0
461 Tumor 0.0
877 Tumor 0.0
925 Tumor 0.0
365 Tumor 0.0
435 Tumor 0.0
917 Tumor 0.0
963 Tumor 0.0
396 Normal 0.0
487 Tumor -0.1
416 Normal -0.1
268 Normal -0.1
977 Tumor -0.1
635 Tumor -0.1
473 Tumor -0.1
615 Tumor -0.1
343 Tumor -0.1
445 Tumor -0.1
641 Tumor -0.1
883 Tumor -0.1
361 Tumor -0.1
283 Tumor -0.1
415 Tumor -0.1
386 Normal -0.1
388 Normal -0.1
744 Normal -0.1
311 Tumor -0.1
192 Normal -0.1
444 Normal -0.1
813 Tumor -0.1
125 Tumor -0.1
498 Normal -0.1
366 Normal -0.1
391 Tumor -0.1
491 Tumor -0.2
1045 Tumor -0.2
383 Tumor -0.2
914 Normal -0.2
863 Tumor -0.2
868 Normal -0.3
911 Tumor -0.3
627 Tumor -0.3
741 Tumor -0.4
Show allShow less
LIVER CANCER - Protein expressioni

A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.

Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.

Pending cancer tissue analysis

Contact

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The Human Protein Atlas project is funded
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