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  • RPS8
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.

RPS8 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.

: 1364.77
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 1284.8
Number of samples 362
Samples
Sample Description pTPM
TCGA-CC-A7II-01A 54 years, male, asian, stage:Stage IIIA, alive, 399 days 6512.3
TCGA-FV-A3I0-01A 76 years, female, white, stage:Stage II, alive, 848 days 3954.4
TCGA-CC-A5UE-01A 48 years, male, asian, stage:Stage IIIB, dead, 272 days 3872.8
TCGA-XR-A8TF-01A 74 years, male, white, stage:Stage I, dead, 693 days 3675.5
TCGA-G3-A7M9-01A 70 years, male, white, stage:Stage IIIB, dead, 56 days 3624.4
TCGA-DD-AACB-01A 74 years, female, asian, stage:Stage I, alive, 2324 days 3571.6
TCGA-DD-AADN-01A 59 years, male, asian, stage:Stage I, alive, 898 days 3558.0
TCGA-CC-A7IE-01A 57 years, male, asian, stage:Stage IIIA, dead, 217 days 3146.6
TCGA-DD-AAE0-01A 45 years, female, asian, stage:Stage IIIA, alive, 555 days 3139.8
TCGA-DD-AA3A-01A 81 years, female, white, stage:Stage I, dead, 410 days 3009.2
TCGA-ED-A8O6-01A 50 years, female, asian, stage:Stage IIIA, dead, 56 days 2996.6
TCGA-DD-AACG-01A 52 years, male, asian, stage:Stage II, dead, 469 days 2881.4
TCGA-G3-A25T-01A 45 years, female, white, stage:Stage IIIA, alive, 1553 days 2876.4
TCGA-CC-A3M9-01A 45 years, male, asian, stage:Stage IIIA, dead, 300 days 2855.9
TCGA-EP-A2KA-01A 52 years, female, white, stage:Stage IIIA, dead, 627 days 2809.5
TCGA-CC-A7IK-01A 59 years, male, asian, stage:Stage IIIA, dead, 262 days 2779.0
TCGA-DD-AAED-01A 51 years, male, asian, stage:Stage I, alive, 763 days 2770.1
TCGA-BC-A112-01A 80 years, male, white, stage:'--, dead, 153 days 2750.7
TCGA-CC-A3MA-01A 61 years, male, asian, stage:Stage IIIA, dead, 303 days 2729.2
TCGA-DD-AACP-01A 64 years, male, asian, stage:Stage I, alive, 415 days 2714.2
TCGA-DD-AADC-01A 53 years, male, asian, stage:Stage I, dead, 425 days 2673.3
TCGA-CC-A123-01A 24 years, female, asian, stage:Stage IIIA, alive, 219 days 2672.9
TCGA-2Y-A9GY-01A 64 years, female, white, stage:Stage II, dead, 757 days 2662.8
TCGA-CC-5260-01A 61 years, female, asian, stage:Stage IIIC, dead, 87 days 2653.3
TCGA-RC-A6M6-01A 75 years, male, white, stage:Stage II, alive, 9 days 2569.2
TCGA-DD-A1EJ-01A 71 years, female, white, stage:Stage IIIC, dead, 1005 days 2545.0
TCGA-DD-AADO-01A 55 years, male, asian, stage:Stage I, alive, 453 days 2538.1
TCGA-BC-A10W-01A 50 years, male, asian, stage:'--, dead, 91 days 2533.5
TCGA-DD-A39Y-01A 67 years, male, asian, stage:Stage I, dead, 171 days 2506.0
TCGA-DD-AAVU-01A 46 years, male, asian, stage:Stage II, alive, 2202 days 2471.1
TCGA-BW-A5NO-01A 50 years, male, black or african american, stage:Stage IIIA, alive, 20 days 2456.8
TCGA-UB-A7MA-01A 62 years, female, white, stage:Stage II, alive, 848 days 2439.7
TCGA-ED-A5KG-01A 60 years, female, asian, stage:Stage II, alive, 854 days 2409.1
TCGA-DD-AACJ-01A 75 years, male, asian, stage:Stage II, alive, 2102 days 2395.0
TCGA-DD-A39Z-01A 43 years, female, stage:Stage II, dead, 601 days 2386.4
TCGA-YA-A8S7-01A 68 years, male, white, stage:Stage IIIA, dead, 412 days 2374.9
TCGA-BC-A69H-01A 64 years, male, white, stage:Stage II, alive, 444 days 2355.7
TCGA-DD-A1EF-01A 57 years, female, white, stage:Stage I, dead, 394 days 2308.1
TCGA-DD-A39X-01A 78 years, female, white, stage:Stage I, dead, 1694 days 2293.3
TCGA-DD-A39V-01A 77 years, male, white, stage:Stage II, dead, 643 days 2253.5
TCGA-G3-A25X-01A 73 years, male, asian, stage:Stage II, alive, 1779 days 2245.9
TCGA-G3-AAV6-01A 53 years, female, white, stage:Stage IIIA, dead, 65 days 2239.4
TCGA-CC-A8HU-01A 39 years, female, asian, stage:Stage IIIA, dead, 344 days 2150.1
TCGA-5C-A9VG-01A 58 years, male, white, stage:Stage II, alive, 328 days 2149.6
TCGA-DD-AADD-01A 51 years, male, asian, stage:Stage I, alive, 1231 days 2130.3
TCGA-FV-A4ZQ-01A 52 years, male, white, stage:Stage I, alive, 12 days 2116.1
TCGA-G3-A5SJ-01A 59 years, male, white, stage:Stage I, alive, 698 days 2087.1
TCGA-DD-AACL-01A 66 years, female, asian, stage:Stage I, dead, 107 days 2065.0
TCGA-CC-A1HT-01A 50 years, male, asian, stage:Stage IIIA, dead, 101 days 2044.5
TCGA-DD-AACZ-01A 63 years, female, asian, stage:Stage I, dead, 171 days 2034.1
TCGA-CC-A7IG-01A 47 years, male, asian, stage:Stage II, dead, 299 days 2025.7
TCGA-DD-AADI-01A 43 years, female, asian, stage:Stage I, alive, 1085 days 2005.6
TCGA-BC-A217-01A 75 years, female, white, stage:Stage II, dead, 1397 days 1989.0
TCGA-DD-AAD5-01A 54 years, male, asian, stage:Stage I, alive, 1345 days 1987.2
TCGA-DD-A1EL-01A 23 years, male, black or african american, stage:Stage II, dead, 415 days 1983.3
TCGA-G3-A7M6-01A 60 years, female, white, stage:Stage I, alive, 632 days 1980.2
TCGA-2Y-A9H2-01A 64 years, female, white, stage:Stage I, alive, 1731 days 1967.7
TCGA-DD-AAVP-01A 48 years, male, asian, stage:Stage I, alive, 2752 days 1937.1
TCGA-KR-A7K7-01A 61 years, female, white, stage:Stage II, alive, 951 days 1906.8
TCGA-CC-5258-01A 48 years, male, asian, stage:Stage II, dead, 129 days 1889.8
TCGA-EP-A2KB-01A 46 years, female, white, stage:Stage I, dead, 596 days 1877.6
TCGA-BC-A216-01A 62 years, female, white, stage:Stage IIIA, alive, 1351 days 1876.3
TCGA-CC-A8HV-01A 51 years, female, asian, stage:Stage II, dead, 279 days 1861.8
TCGA-FV-A4ZP-01A 78 years, male, white, stage:Stage IIIA, dead, 2486 days 1855.5
TCGA-ED-A8O5-01A 59 years, female, asian, stage:Stage IIIA, alive, 406 days 1845.3
TCGA-G3-AAV4-01A 83 years, female, white, stage:Stage I, dead, 27 days 1806.3
TCGA-DD-AAE4-01A 49 years, female, asian, stage:Stage I, alive, 608 days 1779.1
TCGA-DD-AACN-01A 32 years, male, asian, stage:Stage I, alive, 1302 days 1769.7
TCGA-G3-AAV1-01A 51 years, male, asian, stage:Stage IIIC, dead, 359 days 1764.6
TCGA-RG-A7D4-01A 69 years, male, black or african american, stage:Stage II, alive, 1098 days 1753.7
TCGA-G3-AAV5-01A 67 years, male, white, stage:Stage II, alive, 354 days 1717.9
TCGA-DD-AAC8-01A 72 years, male, asian, stage:Stage I, dead, 16 days 1713.2
TCGA-ED-A7PZ-01A 61 years, male, asian, stage:Stage II, alive, 6 days 1653.0
TCGA-2Y-A9GS-01A 58 years, male, white, stage:'--, dead, 724 days 1650.3
TCGA-DD-AACQ-01A 50 years, male, asian, stage:Stage II, dead, 432 days 1642.3
TCGA-DD-A3A1-01A 65 years, male, stage:Stage IIIA, dead, 233 days 1640.8
TCGA-CC-5263-01A 35 years, male, asian, stage:Stage IIIA, dead, 129 days 1640.0
TCGA-G3-A25Y-01A 52 years, female, asian, stage:Stage I, dead, 452 days 1613.5
TCGA-G3-AAUZ-01A 48 years, male, stage:Stage I, alive, 480 days 1594.4
TCGA-DD-AADR-01A 58 years, male, asian, stage:Stage I, alive, 2028 days 1585.3
TCGA-MI-A75H-01A 77 years, male, white, stage:'--, alive, 747 days 1571.3
TCGA-FV-A495-01A 51 years, female, white, stage:Stage II, alive, 1 days 1565.1
TCGA-MI-A75C-01A 64 years, male, white, stage:Stage I, alive, 291 days 1564.5
TCGA-CC-5262-01A 67 years, male, asian, stage:Stage IIIC, dead, 103 days 1551.2
TCGA-DD-AACU-01A 59 years, male, asian, stage:Stage I, alive, 1567 days 1544.7
TCGA-DD-AAD6-01A 66 years, male, asian, stage:Stage IIIA, alive, 672 days 1540.2
TCGA-BC-A10Q-01A 72 years, female, white, stage:'--, dead, 1135 days 1514.4
TCGA-CC-5261-01A 44 years, male, asian, stage:Stage II, dead, 97 days 1509.7
TCGA-CC-A9FW-01A 68 years, male, asian, stage:Stage IIIA, alive, 248 days 1505.3
TCGA-2Y-A9H1-01A 58 years, male, white, stage:Stage I, dead, 1229 days 1490.4
TCGA-DD-A3A7-01A 67 years, male, stage:Stage IIIB, dead, 419 days 1488.8
TCGA-K7-AAU7-01A 61 years, male, white, stage:Stage II, alive, 359 days 1484.9
TCGA-ED-A66Y-01A 51 years, female, asian, stage:Stage IIIA, dead, 296 days 1481.8
TCGA-CC-A7IJ-01A 56 years, male, asian, stage:Stage II, alive, 382 days 1477.0
TCGA-DD-A3A9-01A 64 years, female, white, stage:Stage IVB, dead, 931 days 1465.6
TCGA-UB-A7MB-01A 24 years, male, white, stage:Stage II, alive, 601 days 1450.0
TCGA-DD-AACC-01A 61 years, male, asian, stage:Stage I, dead, 1685 days 1445.4
TCGA-DD-AACO-01A 40 years, male, asian, stage:Stage I, alive, 1876 days 1444.1
TCGA-BC-A10T-01A 76 years, male, white, stage:'--, dead, 837 days 1436.9
TCGA-DD-AAW3-01A 69 years, male, asian, stage:Stage I, alive, 1633 days 1434.9
TCGA-DD-AAW2-01A 69 years, male, asian, stage:Stage I, alive, 1855 days 1433.5
TCGA-DD-A73E-01A 66 years, male, white, stage:Stage I, alive, 44 days 1414.1
TCGA-RC-A6M4-01A 74 years, female, white, stage:Stage IIIA, alive, 22 days 1397.8
TCGA-CC-A5UC-01A 63 years, male, asian, stage:Stage IIIA, dead, 347 days 1397.3
TCGA-DD-AACF-01A 68 years, male, asian, stage:Stage I, dead, 365 days 1393.4
TCGA-DD-A3A3-01A 45 years, male, asian, stage:Stage I, dead, 535 days 1391.1
TCGA-XR-A8TE-01A 16 years, male, white, stage:Stage IIIA, alive, 925 days 1378.9
TCGA-BC-A5W4-01A 69 years, male, white, stage:Stage IIIA, dead, 547 days 1376.5
TCGA-DD-A114-01A 42 years, male, black or african american, stage:Stage II, dead, 1149 days 1371.5
TCGA-CC-5264-01A 71 years, male, asian, stage:Stage IIIA, dead, 102 days 1368.7
TCGA-ED-A82E-01A 60 years, female, asian, stage:Stage IIIA, alive, 408 days 1360.8
TCGA-DD-AACK-01A 70 years, male, asian, stage:Stage I, alive, 9 days 1356.9
TCGA-DD-AACX-01A 66 years, male, asian, stage:Stage II, alive, 170 days 1347.6
TCGA-WX-AA44-01A 64 years, female, white, stage:Stage I, alive, 615 days 1340.7
TCGA-DD-AADV-01A 50 years, male, asian, stage:Stage I, alive, 574 days 1340.0
TCGA-ED-A7XO-01A 29 years, male, asian, stage:Stage IIIA, alive, 427 days 1338.4
TCGA-G3-AAV7-01A 38 years, male, asian, stage:Stage II, alive, 361 days 1338.3
TCGA-DD-A4NS-01A 61 years, female, white, stage:Stage I, dead, 2456 days 1337.9
TCGA-UB-A7ME-01A 51 years, male, asian, stage:Stage I, alive, 486 days 1336.0
TCGA-DD-AAEH-01A 73 years, male, asian, stage:Stage I, alive, 784 days 1332.9
TCGA-ED-A459-01A 47 years, male, asian, stage:Stage II, alive, 910 days 1327.3
TCGA-DD-A73G-01A 73 years, female, white, stage:Stage I, alive, 3478 days 1326.9
TCGA-DD-AADA-01A 66 years, female, asian, stage:Stage I, alive, 1233 days 1319.0
TCGA-DD-A39W-01A 29 years, female, white, stage:Stage III, dead, 827 days 1295.0
TCGA-WQ-A9G7-01A 71 years, female, white, stage:'--, alive, 30 days 1291.0
TCGA-DD-AAE6-01A 59 years, female, asian, stage:Stage I, alive, 141 days 1282.2
TCGA-DD-A73D-01A 68 years, female, white, stage:Stage II, alive, 693 days 1280.9
TCGA-DD-AACA-01A 65 years, male, asian, stage:Stage I, alive, 2301 days 1278.9
TCGA-DD-AACD-01A 48 years, male, asian, stage:Stage I, dead, 381 days 1272.5
TCGA-EP-A3RK-01A 73 years, male, white, stage:Stage IIIA, alive, 363 days 1270.0
TCGA-KR-A7K8-01A 57 years, male, stage:Stage I, alive, 906 days 1267.6
TCGA-PD-A5DF-01A 58 years, female, white, stage:Stage IIIB, dead, 639 days 1267.2
TCGA-DD-AADM-01A 58 years, male, asian, stage:Stage II, dead, 12 days 1260.0
TCGA-ED-A7PX-01A 48 years, female, asian, stage:Stage II, alive, 6 days 1259.8
TCGA-DD-AAVQ-01A 38 years, male, asian, stage:Stage I, alive, 2728 days 1258.3
TCGA-5R-AA1D-01A 17 years, female, white, stage:Stage IIIA, alive, 449 days 1251.2
TCGA-CC-A8HT-01A 74 years, male, asian, stage:Stage IIIA, dead, 140 days 1249.9
TCGA-DD-AACI-01A 69 years, male, asian, stage:Stage II, alive, 1618 days 1238.3
TCGA-CC-A5UD-01A 45 years, male, asian, stage:Stage IIIA, dead, 304 days 1237.8
TCGA-ES-A2HS-01A 80 years, male, white, stage:Stage I, dead, 688 days 1237.7
TCGA-DD-AAD1-01A 51 years, female, asian, stage:Stage I, alive, 564 days 1235.2
TCGA-BC-A8YO-01A 66 years, female, white, stage:Stage IIIC, alive, 562 days 1235.2
TCGA-ZS-A9CG-01A 55 years, male, white, stage:Stage II, alive, 341 days 1226.9
TCGA-RC-A7S9-01A 47 years, female, asian, stage:Stage I, alive, 640 days 1220.3
TCGA-HP-A5N0-01A 90 years, female, stage:'--, dead, 752 days 1218.1
TCGA-DD-AACY-01A 61 years, male, asian, stage:Stage I, alive, 1450 days 1214.9
TCGA-DD-AAVY-01A 56 years, male, asian, stage:Stage IIIA, alive, 1970 days 1210.4
TCGA-DD-A4NR-01A 85 years, female, white, stage:Stage I, dead, 9 days 1207.9
TCGA-3K-AAZ8-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 396 days 1207.4
TCGA-DD-AAD8-01A 73 years, female, asian, stage:Stage I, alive, 1219 days 1203.7
TCGA-ED-A627-01A 74 years, male, white, stage:Stage I, alive, 423 days 1203.2
TCGA-RC-A6M5-01A 20 years, female, white, stage:Stage IVA, alive, 15 days 1201.8
TCGA-DD-AADQ-01A 59 years, male, asian, stage:Stage II, alive, 436 days 1194.4
TCGA-MI-A75G-01A 63 years, male, white, stage:Stage II, alive, 698 days 1185.3
TCGA-CC-A3MB-01A 36 years, male, asian, stage:Stage IIIA, dead, 315 days 1181.8
TCGA-BC-A10Y-01A 76 years, male, white, stage:'--, dead, 711 days 1171.3
TCGA-DD-AADW-01A 48 years, male, asian, stage:Stage I, alive, 587 days 1146.4
TCGA-DD-AAVR-01A 44 years, male, asian, stage:Stage I, alive, 2513 days 1145.1
TCGA-CC-A8HS-01A 18 years, male, asian, stage:Stage IIIC, dead, 300 days 1140.7
TCGA-MR-A8JO-01A 34 years, male, white, stage:Stage I, alive, 330 days 1136.2
TCGA-DD-A1EC-01A 20 years, female, white, stage:Stage I, alive, 602 days 1134.4
TCGA-DD-AADB-01A 51 years, male, asian, stage:Stage I, alive, 1242 days 1127.8
TCGA-G3-A25U-01A 63 years, female, asian, stage:Stage I, alive, 1636 days 1125.9
TCGA-G3-A25S-01A 64 years, male, white, stage:Stage I, dead, 416 days 1121.0
TCGA-DD-AADP-01A 45 years, male, asian, stage:Stage I, alive, 458 days 1119.4
TCGA-BC-A3KG-01A 68 years, female, white, stage:Stage II, alive, 680 days 1115.5
TCGA-ED-A66X-01A 35 years, male, asian, stage:Stage IIIA, alive, 406 days 1113.7
TCGA-G3-AAV2-01A 50 years, male, white, stage:Stage I, alive, 372 days 1108.1
TCGA-G3-A3CK-01A 61 years, male, asian, stage:Stage I, alive, 585 days 1106.1
TCGA-DD-AAEI-01A 72 years, male, asian, stage:Stage I, alive, 1531 days 1093.4
TCGA-DD-AACH-01A 69 years, male, asian, stage:Stage II, dead, 195 days 1092.6
TCGA-DD-A1EH-01A 23 years, male, white, stage:Stage III, alive, 1495 days 1091.9
TCGA-UB-A7MF-01A 56 years, male, white, stage:Stage IIIA, dead, 214 days 1091.2
TCGA-BC-A69I-01A 69 years, male, white, stage:Stage I, alive, 387 days 1088.0
TCGA-DD-A4NJ-01A 54 years, female, white, stage:Stage II, alive, 928 days 1086.2
TCGA-5R-AA1C-01A 57 years, male, white, stage:Stage II, alive, 520 days 1084.9
TCGA-DD-A119-01A 40 years, male, asian, stage:Stage IV, dead, 223 days 1076.8
TCGA-DD-AACW-01A 43 years, male, asian, stage:Stage I, alive, 1424 days 1076.3
TCGA-DD-AADS-01A 63 years, male, asian, stage:Stage I, alive, 474 days 1073.7
TCGA-BD-A3EP-01A 75 years, female, black or african american, stage:Stage I, alive, 409 days 1071.6
TCGA-DD-AADL-01A 58 years, male, asian, stage:Stage I, alive, 636 days 1069.6
TCGA-G3-A6UC-01A 65 years, male, white, stage:Stage IIIB, alive, 671 days 1065.3
TCGA-DD-A4NN-01A 56 years, female, white, stage:Stage I, dead, 899 days 1062.9
TCGA-MI-A75E-01A 61 years, male, white, stage:Stage IIIC, alive, 507 days 1061.3
TCGA-DD-AAVV-01A 56 years, male, asian, stage:Stage II, alive, 2455 days 1060.5
TCGA-DD-AAD3-01A 43 years, male, asian, stage:Stage I, alive, 1295 days 1057.7
TCGA-G3-A3CJ-01A 52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days 1054.5
TCGA-BC-A110-01A 51 years, female, black or african american, stage:'--, dead, 2116 days 1054.3
TCGA-DD-A1EG-01A 76 years, male, white, stage:Stage I, dead, 1372 days 1054.1
TCGA-EP-A2KC-01A 62 years, male, black or african american, stage:Stage I, dead, 19 days 1050.7
TCGA-BC-A10S-01A 81 years, male, white, stage:'--, dead, 1423 days 1050.3
TCGA-FV-A3I1-01A 81 years, female, white, stage:Stage II, dead, 247 days 1048.3
TCGA-5C-AAPD-01A 61 years, male, asian, stage:Stage II, alive, 20 days 1047.0
TCGA-G3-A5SI-01A 44 years, male, asian, stage:Stage II, dead, 768 days 1045.7
TCGA-MI-A75I-01A 61 years, male, black or african american, stage:'--, alive, 630 days 1040.7
TCGA-2Y-A9H9-01A 70 years, male, white, stage:Stage I, alive, 697 days 1037.8
TCGA-FV-A3R2-01A 75 years, male, white, stage:Stage I, dead, 194 days 1031.5
TCGA-DD-AACV-01A 53 years, male, asian, stage:Stage I, alive, 1531 days 1024.2
TCGA-ZS-A9CF-01A 64 years, male, white, stage:Stage II, alive, 2412 days 1022.7
TCGA-GJ-A3OU-01A 59 years, male, white, stage:Stage I, alive, 879 days 1021.6
TCGA-5R-AAAM-01A 65 years, female, white, stage:Stage II, dead, 46 days 1016.1
TCGA-DD-A4NQ-01A 60 years, male, white, stage:Stage II, dead, 373 days 1012.4
TCGA-QA-A7B7-01A 48 years, male, black or african american, stage:Stage II, alive, 94 days 1011.0
TCGA-DD-AAE9-01A 69 years, male, asian, stage:Stage I, alive, 722 days 997.7
TCGA-DD-A1EI-01A 46 years, male, asian, stage:Stage I, alive, 183 days 996.0
TCGA-ED-A97K-01A 54 years, male, asian, stage:Stage IIIA, alive, 6 days 993.5
TCGA-G3-A25V-01A 68 years, male, white, stage:Stage I, alive, 860 days 990.8
TCGA-UB-AA0U-01A 60 years, male, white, stage:Stage II, alive, 327 days 987.2
TCGA-EP-A26S-01A 70 years, male, white, stage:Stage I, alive, 608 days 986.5
TCGA-ZP-A9D2-01A 51 years, male, white, stage:'--, dead, 765 days 985.0
TCGA-XR-A8TD-01A 49 years, female, white, stage:Stage IIIB, alive, 1030 days 979.4
TCGA-2Y-A9H3-01A 45 years, male, white, stage:Stage II, alive, 1516 days 975.2
TCGA-BC-A10U-01A 69 years, male, white, stage:'--, dead, 837 days 970.5
TCGA-DD-A4NA-01A 67 years, female, white, stage:Stage IIIC, alive, 1008 days 970.2
TCGA-DD-AAE3-01A 50 years, male, asian, stage:Stage I, alive, 566 days 964.9
TCGA-DD-AAE2-01A 51 years, male, asian, stage:Stage I, alive, 638 days 964.7
TCGA-2Y-A9GX-01A 68 years, male, white, stage:Stage I, alive, 2442 days 964.5
TCGA-FV-A3R3-01A 38 years, female, white, stage:Stage I, dead, 366 days 962.7
TCGA-DD-A4NE-01A 75 years, female, white, stage:Stage IIIA, dead, 660 days 961.6
TCGA-DD-AADF-01A 64 years, female, asian, stage:Stage I, dead, 115 days 960.5
TCGA-KR-A7K2-01A 64 years, male, white, stage:Stage I, alive, 829 days 958.2
TCGA-DD-A3A5-01A 66 years, female, white, stage:Stage III, dead, 3125 days 956.8
TCGA-ZS-A9CE-01A 79 years, female, white, stage:Stage II, alive, 1241 days 955.7
TCGA-UB-A7MD-01A 67 years, male, black or african american, stage:Stage I, dead, 52 days 951.4
TCGA-DD-AAVX-01A 38 years, male, asian, stage:Stage II, alive, 1718 days 946.1
TCGA-DD-AAEE-01A 55 years, male, asian, stage:Stage I, alive, 810 days 942.8
TCGA-2Y-A9GZ-01A 82 years, female, white, stage:Stage II, dead, 848 days 939.7
TCGA-ZP-A9D4-01A 64 years, female, white, stage:'--, alive, 395 days 936.0
TCGA-WX-AA46-01A 61 years, male, white, stage:Stage II, alive, 756 days 931.5
TCGA-WX-AA47-01A 33 years, female, white, stage:Stage IIIA, dead, 556 days 930.3
TCGA-DD-AAEG-01A 59 years, female, asian, stage:Stage I, alive, 719 days 930.1
TCGA-G3-A25Z-01A 58 years, male, asian, stage:Stage I, alive, 655 days 929.4
TCGA-RC-A7SK-01A 59 years, male, asian, stage:Stage I, alive, 472 days 928.2
TCGA-2Y-A9HA-01A 70 years, male, white, stage:Stage II, dead, 36 days 926.3
TCGA-DD-A4NB-01A 25 years, male, white, stage:Stage I, alive, 989 days 924.8
TCGA-DD-AAD2-01A 66 years, male, asian, stage:Stage I, alive, 658 days 924.7
TCGA-RC-A7SH-01A 42 years, male, asian, stage:Stage II, alive, 468 days 924.2
TCGA-DD-A1EE-01A 73 years, male, white, stage:Stage IIIA, dead, 349 days 919.1
TCGA-ZS-A9CD-01A 73 years, male, white, stage:Stage II, dead, 1386 days 891.3
TCGA-XR-A8TG-01A 58 years, male, white, stage:Stage I, alive, 898 days 888.2
TCGA-EP-A3JL-01A 76 years, male, white, stage:Stage I, alive, 303 days 884.8
TCGA-G3-A7M7-01A 65 years, male, white, stage:Stage I, alive, 361 days 878.4
TCGA-WQ-AB4B-01A 62 years, male, white, stage:Stage II, alive, 395 days 877.7
TCGA-KR-A7K0-01A 65 years, male, white, stage:Stage I, dead, 65 days 875.6
TCGA-ZP-A9CZ-01A 72 years, male, asian, stage:'--, alive, 706 days 874.8
TCGA-DD-AADJ-01A 70 years, female, asian, stage:Stage I, alive, 1066 days 869.1
TCGA-2Y-A9H7-01A 81 years, female, white, stage:Stage I, alive, 1168 days 868.9
TCGA-G3-A3CH-01A 53 years, male, asian, stage:Stage IIIA, alive, 780 days 868.0
TCGA-RC-A7SF-01A 66 years, male, asian, stage:Stage I, alive, 579 days 864.1
TCGA-DD-AAVS-01A 56 years, male, asian, stage:Stage I, alive, 1823 days 863.3
TCGA-DD-AADY-01A 55 years, female, asian, stage:Stage I, alive, 555 days 862.8
TCGA-ED-A7PY-01A 20 years, female, asian, stage:Stage II, alive, 390 days 853.7
TCGA-O8-A75V-01A 54 years, male, stage:Stage I, alive, 538 days 853.2
TCGA-DD-A3A4-01A 37 years, male, white, stage:Stage IIIA, dead, 612 days 853.1
TCGA-CC-A7IH-01A 58 years, male, asian, stage:Stage IIIA, alive, 365 days 849.1
TCGA-DD-AADG-01A 70 years, male, asian, stage:Stage IIIA, alive, 1145 days 846.9
TCGA-DD-AADU-01A 60 years, male, asian, stage:Stage II, alive, 554 days 842.6
TCGA-DD-A4ND-01A 56 years, female, white, stage:Stage I, alive, 2746 days 841.1
TCGA-G3-AAV0-01A 58 years, male, asian, stage:Stage I, alive, 476 days 840.5
TCGA-BC-A10Z-01A 62 years, female, white, stage:Stage I, dead, 34 days 839.3
TCGA-LG-A6GG-01A 79 years, female, white, stage:Stage II, alive, 387 days 838.7
TCGA-DD-A3A6-01A 72 years, female, white, stage:Stage II, dead, 3258 days 838.2
TCGA-DD-AACE-01A 62 years, male, asian, stage:Stage I, alive, 2184 days 835.9
TCGA-DD-AAEK-01A 51 years, male, asian, stage:Stage II, alive, 1067 days 835.1
TCGA-DD-AACS-01A 39 years, male, asian, stage:Stage I, alive, 1804 days 832.9
TCGA-FV-A23B-01A 70 years, female, white, stage:Stage II, dead, 1852 days 828.4
TCGA-DD-A3A8-01A 75 years, male, white, stage:Stage II, dead, 11 days 828.3
TCGA-UB-A7MC-01A 59 years, male, white, stage:Stage IIIA, alive, 500 days 825.8
TCGA-G3-AAV3-01A 58 years, female, white, stage:Stage II, alive, 412 days 825.8
TCGA-ED-A7XP-01A 53 years, female, asian, stage:Stage II, alive, 400 days 818.0
TCGA-4R-AA8I-01A 66 years, male, white, stage:Stage II, dead, 262 days 815.9
TCGA-T1-A6J8-01A 68 years, male, white, stage:'--, alive, 23 days 813.9
TCGA-2Y-A9H4-01A 68 years, male, black or african american, stage:Stage I, alive, 1452 days 812.9
TCGA-G3-A7M5-01A 76 years, male, asian, stage:Stage I, alive, 447 days 809.4
TCGA-BC-A3KF-01A 66 years, female, white, stage:Stage I, alive, 8 days 808.5
TCGA-DD-A4NF-01A 72 years, male, white, stage:Stage I, alive, 942 days 806.9
TCGA-2Y-A9HB-01A 66 years, male, stage:Stage I, alive, 260 days 803.9
TCGA-DD-AAD0-01A 73 years, female, asian, stage:Stage I, alive, 137 days 800.5
TCGA-UB-AA0V-01A 69 years, female, white, stage:Stage I, alive, 314 days 800.4
TCGA-ED-A4XI-01A 58 years, male, asian, stage:Stage II, alive, 819 days 800.0
TCGA-K7-A5RG-01A 66 years, male, black or african american, stage:Stage I, alive, 519 days 799.3
TCGA-FV-A2QQ-01A 80 years, male, white, stage:Stage I, alive, 729 days 799.0
TCGA-DD-A11C-01A 69 years, male, white, stage:Stage I, alive, 662 days 796.1
TCGA-G3-A5SL-01A 70 years, male, white, stage:Stage II, alive, 621 days 794.7
TCGA-DD-AAEB-01A 60 years, male, asian, stage:Stage I, alive, 478 days 792.3
TCGA-DD-A4NV-01A 61 years, male, white, stage:Stage IIIA, alive, 2398 days 790.8
TCGA-DD-A4NP-01A 32 years, male, white, stage:Stage I, alive, 3308 days 783.5
TCGA-DD-A73C-01A 65 years, female, white, stage:Stage IIIA, alive, 701 days 775.9
TCGA-K7-A6G5-01A 66 years, male, white, stage:Stage I, alive, 512 days 775.1
TCGA-EP-A12J-01A 62 years, male, black or african american, stage:Stage I, alive, 570 days 774.5
TCGA-DD-AAW1-01A 55 years, male, asian, stage:Stage IIIA, alive, 1989 days 772.2
TCGA-HP-A5MZ-01A 78 years, male, stage:Stage I, dead, 91 days 769.8
TCGA-BD-A2L6-01A 69 years, male, white, stage:'--, alive, 1363 days 769.7
TCGA-FV-A496-01A 84 years, female, white, stage:Stage I, alive, 10 days 762.2
TCGA-XR-A8TC-01A 43 years, female, white, stage:Stage I, alive, 1339 days 760.6
TCGA-GJ-A9DB-01A 68 years, male, white, stage:Stage I, dead, 67 days 752.1
TCGA-DD-AAEA-01A 65 years, male, asian, stage:Stage I, alive, 575 days 739.7
TCGA-DD-AAC9-01A 51 years, male, asian, stage:Stage I, alive, 347 days 734.3
TCGA-2Y-A9GW-01A 64 years, male, white, stage:Stage I, dead, 1271 days 733.3
TCGA-CC-A7IL-01A 61 years, male, asian, stage:Stage IIIA, dead, 278 days 731.5
TCGA-BC-A10R-01A 66 years, female, white, stage:'--, dead, 308 days 725.6
TCGA-BC-A10X-01A 52 years, female, white, stage:Stage IIIA, dead, 770 days 719.5
TCGA-DD-A73A-01A 71 years, male, white, stage:Stage I, alive, 728 days 716.9
TCGA-DD-AAE1-01A 52 years, male, asian, stage:Stage I, alive, 552 days 716.0
TCGA-G3-A3CI-01A 71 years, male, white, stage:Stage I, alive, 180 days 708.0
TCGA-DD-A1EA-01A 68 years, male, asian, stage:Stage II, alive, 2415 days 705.4
TCGA-DD-AAVZ-01A 38 years, male, asian, stage:Stage I, alive, 1900 days 703.9
TCGA-DD-A4NO-01A 65 years, male, white, stage:Stage I, alive, 2245 days 699.7
TCGA-DD-AAVW-01A 35 years, male, asian, stage:Stage I, alive, 2317 days 697.4
TCGA-RC-A7SB-01A 53 years, male, asian, stage:Stage II, alive, 588 days 686.1
TCGA-DD-AACT-01A 69 years, female, asian, stage:Stage I, alive, 1562 days 682.1
TCGA-ES-A2HT-01A 54 years, male, black or african american, stage:Stage I, dead, 438 days 680.9
TCGA-DD-A116-01A 68 years, male, asian, stage:Stage IIIA, dead, 1622 days 679.8
TCGA-DD-A118-01A 77 years, female, white, stage:Stage II, alive, 3437 days 675.0
TCGA-DD-A3A2-01A 76 years, female, white, stage:Stage I, dead, 2131 days 671.5
TCGA-WJ-A86L-01A 68 years, female, white, stage:Stage I, alive, 345 days 665.4
TCGA-5C-A9VH-01A 70 years, male, white, stage:Stage I, alive, 322 days 663.3
TCGA-2Y-A9H5-01A 59 years, female, white, stage:Stage I, dead, 555 days 661.2
TCGA-2Y-A9H8-01A 85 years, female, white, stage:'--, dead, 633 days 660.5
TCGA-DD-A115-01A 53 years, male, white, stage:Stage IIIA, dead, 2542 days 656.7
TCGA-ZP-A9CV-01A 59 years, male, white, stage:'--, dead, 1088 days 653.3
TCGA-NI-A8LF-01A 74 years, male, white, stage:Stage I, alive, 799 days 647.6
TCGA-G3-A3CG-01A 80 years, male, white, stage:Stage I, alive, 673 days 647.6
TCGA-2Y-A9H0-01A 49 years, male, white, stage:Stage IIIA, alive, 3675 days 645.9
TCGA-NI-A4U2-01A 71 years, male, white, stage:Stage IIIA, dead, 1791 days 643.9
TCGA-CC-A3MC-01A 54 years, male, asian, stage:Stage IIIA, alive, 363 days 633.0
TCGA-FV-A2QR-01A 75 years, male, white, stage:Stage I, dead, 581 days 621.5
TCGA-ZP-A9D1-01A 56 years, female, white, stage:'--, alive, 21 days 618.8
TCGA-2Y-A9H6-01A 68 years, female, white, stage:Stage I, alive, 357 days 617.2
TCGA-DD-AAW0-01A 54 years, male, asian, stage:Stage I, alive, 2015 days 614.8
TCGA-DD-AAE7-01A 72 years, male, asian, stage:Stage I, alive, 644 days 612.3
TCGA-DD-A4NK-01A 80 years, female, white, stage:Stage IIIA, dead, 1210 days 606.3
TCGA-DD-A1ED-01A 68 years, male, white, stage:Stage I, alive, 2301 days 604.5
TCGA-DD-A113-01A 55 years, female, white, stage:Stage II, alive, 2425 days 604.3
TCGA-2Y-A9GV-01A 54 years, female, white, stage:Stage I, dead, 2532 days 599.4
TCGA-CC-5259-01A 60 years, female, asian, stage:Stage IIIC, alive, 250 days 596.7
TCGA-G3-A7M8-01A 31 years, male, asian, stage:Stage I, alive, 430 days 596.3
TCGA-DD-A73F-01A 77 years, female, white, stage:Stage I, alive, 1085 days 589.6
TCGA-GJ-A6C0-01A 75 years, female, white, stage:Stage II, dead, 31 days 569.4
TCGA-BD-A3ER-01A 62 years, male, white, stage:Stage II, alive, 1115 days 559.2
TCGA-ZP-A9CY-01A 66 years, female, white, stage:'--, alive, 782 days 555.4
TCGA-DD-A4NH-01A 65 years, female, white, stage:Stage IIIB, alive, 917 days 553.6
TCGA-DD-A4NI-01A 67 years, male, white, stage:Stage II, alive, 816 days 550.0
TCGA-LG-A9QD-01A 68 years, male, white, stage:Stage IIIA, alive, 366 days 543.2
TCGA-CC-A7IF-01A 59 years, male, asian, stage:Stage IIIA, dead, 649 days 541.6
TCGA-DD-A1EK-01A 64 years, female, white, stage:Stage IVB, dead, 558 days 539.1
TCGA-DD-A1EB-01A 72 years, female, stage:Stage I, alive, 2017 days 533.4
TCGA-CC-A9FS-01A 55 years, male, asian, stage:Stage II, alive, 211 days 530.6
TCGA-K7-A5RF-01A 64 years, male, white, stage:Stage I, alive, 631 days 528.9
TCGA-DD-AADK-01A 68 years, female, asian, stage:Stage II, alive, 1049 days 525.6
TCGA-G3-A5SM-01A 58 years, male, white, stage:Stage II, alive, 520 days 520.2
TCGA-DD-A4NL-01A 46 years, male, white, stage:Stage I, alive, 1711 days 515.9
TCGA-ZP-A9D0-01A 67 years, female, black or african american, stage:'--, alive, 1091 days 513.5
TCGA-MR-A520-01A 58 years, male, white, stage:Stage I, alive, 229 days 511.4
TCGA-LG-A9QC-01A 48 years, male, white, stage:Stage I, alive, 425 days 472.7
TCGA-2Y-A9GT-01A 51 years, male, white, stage:Stage I, dead, 1624 days 467.0
TCGA-DD-A11D-01A 57 years, female, white, stage:Stage I, dead, 1560 days 465.5
TCGA-G3-A5SK-01A 58 years, male, white, stage:Stage I, alive, 744 days 449.2
TCGA-2Y-A9GU-01A 55 years, female, white, stage:Stage I, alive, 1939 days 438.3
TCGA-DD-A4NG-01A 77 years, male, white, stage:Stage IIIA, dead, 802 days 420.7
TCGA-DD-A11B-01A 73 years, male, white, stage:Stage I, dead, 14 days 372.2
TCGA-DD-A73B-01A 72 years, female, white, stage:Stage I, dead, 283 days 297.4
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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.

RPS8 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.

: 2093.31
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 1723.5
Number of samples 231
Samples
Sample Description pTPM
DO45303 62 years, female, NA, stage:3, alive, 990 days 4979.2
DO50814 83 years, male, NA, stage:3, alive, 420 days 4681.7
DO45259 65 years, male, NA, stage:3, alive, 330 days 4622.1
DO50785 37 years, male, NA, stage:4, dead, 90 days 4556.9
DO45209 70 years, male, NA, stage:4, alive, 1350 days 4247.2
DO45093 71 years, male, NA, stage:2, dead, 720 days 4217.5
DO45289 78 years, female, NA, stage:3, alive, 360 days 4200.7
DO23537 79 years, male, NA, stage:2, dead, 900 days 3984.8
DO45217 69 years, female, NA, stage:3, dead, 270 days 3979.5
DO45285 59 years, male, NA, stage:3, alive, 480 days 3818.0
DO48682 72 years, female, NA, stage:3, dead, 120 days 3722.7
DO45305 66 years, male, NA, stage:4, alive, 300 days 3695.5
DO45297 61 years, female, NA, stage:4, dead, 1260 days 3568.0
DO45299 70 years, female, NA, stage:1, alive, 1440 days 3562.1
DO45287 74 years, male, NA, stage:1, alive, 390 days 3433.8
DO50806 70 years, male, NA, stage:4, alive, 540 days 3262.2
DO23530 53 years, male, NA, stage:4, dead, 180 days 3234.8
DO45191 61 years, female, NA, stage:2, alive, 1200 days 3226.3
DO23516 69 years, male, NA, stage:3, dead, 20 days 3213.5
DO23519 65 years, male, NA, stage:3, alive, 630 days 3183.9
DO50815 62 years, male, NA, stage:3, alive, 150 days 3173.7
DO45307 54 years, female, NA, stage:4, dead, 240 days 3119.4
DO23545 67 years, male, NA, stage:2, dead, 570 days 3096.6
DO48747 62 years, male, NA, stage:3, alive, 540 days 3054.0
DO48730 73 years, female, NA, stage:2, alive, 630 days 3033.4
DO45193 68 years, female, NA, stage:4, dead, 120 days 2995.3
DO45269 59 years, male, NA, stage:3, alive, 750 days 2946.8
DO45145 78 years, male, NA, stage:3, dead, 60 days 2815.3
DO45097 69 years, male, NA, stage:3, alive, 1620 days 2815.3
DO45221 75 years, female, NA, stage:4, dead, 390 days 2808.4
DO45245 75 years, female, NA, stage:2, dead, 240 days 2770.9
DO45283 60 years, male, NA, stage:3, alive, 510 days 2738.1
DO23515 71 years, male, NA, stage:2, alive, 1230 days 2729.1
DO45211 76 years, male, NA, stage:3, alive, 240 days 2685.1
DO45273 62 years, male, NA, stage:2, alive, 480 days 2674.6
DO45251 57 years, female, NA, stage:2, alive, 900 days 2667.1
DO45267 73 years, male, NA, stage:3, dead, 570 days 2655.6
DO45173 63 years, male, NA, stage:3, alive, 1170 days 2615.8
DO48751 68 years, male, NA, stage:2, dead, 480 days 2538.1
DO45277 64 years, male, NA, stage:3, alive, 600 days 2537.2
DO50799 66 years, female, NA, stage:2, alive, 540 days 2530.8
DO45265 73 years, male, NA, stage:3, alive, 1020 days 2488.3
DO48737 52 years, male, NA, stage:1, alive, 720 days 2433.2
DO45161 74 years, male, NA, stage:2, dead, 540 days 2430.1
DO45301 56 years, male, NA, stage:2, dead, 1440 days 2416.1
DO23508 79 years, female, NA, stage:2, alive, 390 days 2330.7
DO45219 78 years, male, NA, stage:2, alive, 1080 days 2330.3
DO45257 46 years, male, NA, stage:3, alive, 810 days 2315.0
DO45189 85 years, female, NA, stage:2, alive, 1200 days 2314.4
DO45249 57 years, male, NA, stage:1, alive, 630 days 2312.6
DO50825 70 years, male, NA, stage:2, alive, 390 days 2296.7
DO45279 67 years, male, NA, stage:3, alive, 1290 days 2281.6
DO50809 56 years, male, NA, stage:3, dead, 720 days 2240.3
DO23526 66 years, male, NA, stage:3, alive, 1050 days 2238.2
DO48697 64 years, female, NA, stage:2, dead, 810 days 2136.9
DO48706 72 years, male, NA, stage:2, alive, 870 days 2121.6
DO50778 60 years, male, NA, stage:4, alive, 630 days 2116.0
DO45205 67 years, female, NA, stage:2, dead, 90 days 2093.3
DO23523 52 years, male, NA, stage:3, alive, 1080 days 2074.8
DO50802 49 years, male, NA, stage:2, alive, 930 days 2071.6
DO50811 62 years, male, NA, stage:1, alive, 450 days 2058.2
DO48720 62 years, female, NA, stage:2, alive, 570 days 2034.7
DO48757 68 years, female, NA, stage:3, alive, 480 days 2034.3
DO45281 83 years, male, NA, stage:4, alive, 750 days 2021.9
DO45213 58 years, male, NA, stage:1, alive, 1200 days 1998.6
DO45165 75 years, male, NA, stage:2, alive, 690 days 1989.0
DO48727 81 years, female, NA, stage:2, dead, 390 days 1971.4
DO45095 66 years, male, NA, stage:2, alive, 1620 days 1947.0
DO45103 47 years, male, NA, stage:3, alive, 450 days 1945.9
DO48741 64 years, male, NA, stage:3, alive, 240 days 1945.8
DO50855 47 years, male, NA, stage:2, alive, 570 days 1936.8
DO50859 77 years, male, NA, stage:2, alive, 180 days 1935.6
DO45201 49 years, male, NA, stage:1, alive, 900 days 1912.0
DO23540 73 years, male, NA, stage:1, alive, 750 days 1907.5
DO45141 73 years, male, NA, stage:2, alive, 1320 days 1899.3
DO23525 71 years, male, NA, stage:4, alive, 1050 days 1892.9
DO45203 71 years, female, NA, stage:2, alive, 1170 days 1881.9
DO45092 62 years, male, NA, stage:4, dead, 1200 days 1875.5
DO45135 77 years, male, NA, stage:1, alive, 1410 days 1865.9
DO50791 79 years, female, NA, stage:1, dead, 480 days 1857.0
DO48732 73 years, male, NA, stage:3, alive, 630 days 1854.3
DO23521 63 years, male, NA, stage:3, alive, 1110 days 1847.4
DO45237 58 years, male, NA, stage:2, alive, 900 days 1841.1
DO48672 81 years, male, NA, stage:2, alive, 450 days 1817.1
DO50844 75 years, male, NA, stage:4, alive, 300 days 1814.8
DO48681 57 years, male, NA, stage:2, alive, 900 days 1812.1
DO45157 62 years, male, NA, stage:2, alive, 1980 days 1802.1
DO45253 50 years, male, NA, stage:2, alive, 870 days 1801.1
DO23536 56 years, male, NA, stage:2, alive, 930 days 1800.0
DO45261 74 years, male, NA, stage:3, alive, 990 days 1777.6
DO45231 84 years, male, NA, stage:2, alive, 930 days 1759.5
DO23542 66 years, male, NA, stage:3, alive, 960 days 1757.5
DO48700 78 years, female, NA, stage:2, alive, 810 days 1753.2
DO45127 73 years, male, NA, stage:3, dead, 420 days 1744.3
DO23533 61 years, male, NA, stage:2, alive, 900 days 1741.2
DO45139 63 years, male, NA, stage:3, alive, 1320 days 1732.8
DO50793 76 years, male, NA, stage:4, alive, 540 days 1726.7
DO23549 74 years, male, NA, stage:3, alive, 990 days 1714.1
DO23510 80 years, female, NA, stage:2, alive, 870 days 1713.2
DO45239 42 years, male, NA, stage:2, alive, 870 days 1711.9
DO45119 74 years, male, NA, stage:3, dead, 510 days 1708.8
DO48712 50 years, male, NA, stage:2, alive, 810 days 1695.2
DO48715 58 years, female, NA, stage:2, dead, 690 days 1639.3
DO45241 49 years, male, NA, stage:1, alive, 1080 days 1619.6
DO45175 74 years, male, NA, stage:2, alive, 1140 days 1613.6
DO48677 58 years, male, NA, stage:3, alive, 1140 days 1588.5
DO23547 74 years, male, NA, stage:1, alive, 1020 days 1586.4
DO45113 58 years, male, NA, stage:3, alive, 1560 days 1581.6
DO45225 69 years, male, NA, stage:1, alive, 1050 days 1573.7
DO45185 89 years, male, NA, stage:2, alive, 600 days 1572.6
DO50805 72 years, male, NA, stage:2, alive, 690 days 1542.7
DO23511 83 years, female, NA, stage:3, dead, 180 days 1527.8
DO48759 73 years, male, NA, stage:3, alive, 720 days 1523.9
DO50783 62 years, male, NA, stage:3, alive, 480 days 1495.7
DO23543 63 years, male, NA, stage:2, alive, 1020 days 1479.6
DO50822 66 years, male, NA, stage:2, alive, 510 days 1473.8
DO45131 53 years, male, NA, stage:4, dead, 360 days 1470.7
DO50800 74 years, male, NA, stage:2, alive, 510 days 1467.0
DO48736 76 years, female, NA, stage:1, alive, 600 days 1462.7
DO45177 81 years, female, NA, stage:3, alive, 1260 days 1458.1
DO45275 65 years, male, NA, stage:3, dead, 10 days 1456.5
DO48719 80 years, male, NA, stage:2, alive, 690 days 1453.7
DO45163 76 years, male, NA, stage:2, alive, 960 days 1448.9
DO45247 31 years, female, NA, stage:2, alive, 210 days 1433.0
DO48728 74 years, female, NA, stage:2, alive, 150 days 1413.1
DO45143 69 years, male, NA, stage:3, alive, 1290 days 1412.1
DO23513 76 years, male, NA, stage:3, alive, 1200 days 1410.0
DO48717 54 years, male, NA, stage:4, dead, 180 days 1408.0
DO45229 74 years, male, NA, stage:1, alive, 990 days 1395.3
DO50829 78 years, male, NA, stage:3, alive, 570 days 1389.4
DO45171 56 years, male, NA, stage:3, alive, 600 days 1381.7
DO45155 69 years, male, NA, stage:2, alive, 2160 days 1369.9
DO45153 77 years, female, NA, stage:2, alive, 1380 days 1363.3
DO45243 74 years, female, NA, stage:3, alive, 930 days 1356.9
DO45117 73 years, female, NA, stage:2, dead, 1110 days 1350.6
DO45149 70 years, female, NA, stage:2, alive, 1260 days 1336.7
DO50813 56 years, male, NA, stage:2, alive, 420 days 1329.4
DO45223 67 years, male, NA, stage:4, alive, 1020 days 1323.0
DO48746 76 years, male, NA, stage:3, alive, 570 days 1317.6
DO45187 32 years, female, NA, stage:1, alive, 1260 days 1316.6
DO23546 63 years, male, NA, stage:2, alive, 1050 days 1311.9
DO23514 64 years, male, NA, stage:2, alive, 1290 days 1307.5
DO23528 45 years, female, NA, stage:2, alive, 1020 days 1306.9
DO45199 86 years, female, NA, stage:2, alive, 1350 days 1300.7
DO48733 72 years, male, NA, stage:2, alive, 600 days 1283.8
DO48725 66 years, male, NA, stage:1, alive, 780 days 1274.9
DO45109 63 years, male, NA, stage:2, alive, 1590 days 1264.4
DO45179 78 years, female, NA, stage:2, alive, 600 days 1262.9
DO23548 78 years, female, NA, stage:1, alive, 840 days 1237.5
DO23524 71 years, female, NA, stage:2, alive, 1050 days 1214.0
DO48723 73 years, male, NA, stage:1, alive, 600 days 1211.5
DO50819 72 years, female, NA, stage:2, alive, 510 days 1198.7
DO45169 74 years, male, NA, stage:3, alive, 1350 days 1193.5
DO50817 75 years, male, NA, stage:2, alive, 390 days 1191.2
DO50816 63 years, male, NA, stage:2, alive, 390 days 1179.1
DO50776 75 years, male, NA, stage:1, alive, 690 days 1175.2
DO23539 77 years, male, NA, stage:1, alive, 1110 days 1165.0
DO45255 81 years, male, NA, stage:3, alive, 720 days 1158.0
DO45125 58 years, male, NA, stage:3, alive, 1680 days 1148.9
DO45123 78 years, female, NA, stage:2, dead, 570 days 1137.9
DO50839 47 years, female, NA, stage:3, alive, 330 days 1132.4
DO45233 83 years, male, NA, stage:3, alive, 900 days 1129.5
DO45181 84 years, female, NA, stage:2, alive, 1200 days 1126.8
DO50798 77 years, male, NA, stage:3, dead, 30 days 1118.9
DO50803 62 years, female, NA, stage:1, alive, 540 days 1114.0
DO45263 67 years, male, NA, stage:3, dead, 270 days 1109.5
DO45159 65 years, male, NA, stage:3, alive, 1470 days 1109.0
DO45207 68 years, male, NA, stage:1, alive, 1050 days 1099.9
DO23529 72 years, male, NA, stage:4, alive, 930 days 1081.6
DO45096 69 years, male, NA, stage:2, dead, 1290 days 1071.1
DO50804 81 years, male, NA, stage:2, alive, 720 days 1057.4
DO48693 71 years, male, NA, stage:2, alive, 900 days 1056.4
DO50850 74 years, male, NA, stage:3, alive, 720 days 1035.9
DO50774 68 years, female, NA, stage:2, alive, 720 days 1027.0
DO45183 72 years, female, NA, stage:2, dead, 570 days 1011.5
DO45227 57 years, female, NA, stage:2, alive, 1020 days 1009.4
DO227801 77 years, female, NA, stage:1, alive, 660 days 993.1
DO50857 72 years, male, NA, stage:2, alive, 210 days 989.9
DO50787 63 years, male, NA, stage:3, alive, 480 days 988.6
DO50845 72 years, male, NA, stage:3, alive, 210 days 970.2
DO23541 65 years, male, NA, stage:2, alive, 930 days 969.5
DO45099 46 years, male, NA, stage:3, alive, 1590 days 958.8
DO23538 67 years, male, NA, stage:2, alive, 450 days 956.3
DO50840 49 years, male, NA, stage:2, alive, 330 days 953.7
DO48716 71 years, male, NA, stage:2, alive, 720 days 949.0
DO48743 69 years, female, NA, stage:2, alive, 570 days 945.2
DO45235 68 years, female, NA, stage:1, alive, 900 days 944.3
DO50818 65 years, male, NA, stage:2, alive, 510 days 932.5
DO45091 56 years, male, NA, stage:2, dead, 1320 days 922.8
DO48742 76 years, male, NA, stage:2, alive, 600 days 908.8
DO50820 77 years, female, NA, stage:3, alive, 510 days 905.2
DO48761 55 years, male, NA, stage:2, alive, 870 days 899.9
DO48695 77 years, male, NA, stage:2, alive, 720 days 898.0
DO23517 62 years, male, NA, stage:2, alive, 1200 days 884.9
DO45121 61 years, male, NA, stage:3, alive, 1530 days 881.3
DO23527 72 years, male, NA, stage:1, alive, 1050 days 871.4
DO23544 67 years, male, NA, stage:2, alive, 960 days 867.2
DO23531 78 years, female, NA, stage:3, alive, 900 days 864.1
DO227643 79 years, male, NA, stage:2, alive, 1260 days 862.4
DO45215 65 years, male, NA, stage:2, alive, 1170 days 859.2
DO50807 67 years, male, NA, stage:1, alive, 540 days 845.0
DO23535 67 years, male, NA, stage:1, alive, 960 days 839.2
DO48704 68 years, female, NA, stage:3, alive, 750 days 834.6
DO45133 64 years, male, NA, stage:3, dead, 660 days 829.0
DO23518 67 years, male, NA, stage:2, alive, 1320 days 806.1
DO50808 68 years, male, NA, stage:2, alive, 570 days 801.5
DO48679 72 years, male, NA, stage:2, alive, 1200 days 797.6
DO48674 80 years, male, NA, stage:2, alive, 1260 days 784.1
DO23551 73 years, male, NA, stage:3, dead, 150 days 780.9
DO45129 61 years, male, NA, stage:3, alive, 1470 days 779.1
DO45101 63 years, male, NA, stage:2, alive, 1680 days 778.3
DO23534 60 years, male, NA, stage:2, alive, 840 days 774.2
DO23512 60 years, male, NA, stage:1, alive, 1260 days 763.9
DO45197 51 years, male, NA, stage:2, alive, 1170 days 762.8
DO48701 78 years, male, NA, stage:2, alive, 780 days 751.2
DO45137 38 years, male, NA, stage:1, alive, 1320 days 745.6
DO50832 73 years, male, NA, stage:3, alive, 90 days 724.0
DO45094 76 years, male, NA, stage:3, alive, 1650 days 705.7
DO23532 71 years, female, NA, stage:1, alive, 960 days 700.2
DO23552 80 years, female, NA, stage:1, alive, 810 days 689.9
DO23550 69 years, male, NA, stage:1, alive, 990 days 660.5
DO45195 62 years, male, NA, stage:1, alive, 390 days 657.1
DO48760 70 years, female, NA, stage:2, alive, 690 days 650.2
DO48721 58 years, female, NA, stage:1, alive, 900 days 620.9
DO45115 81 years, male, NA, stage:2, alive, 840 days 604.0
DO50789 73 years, female, NA, stage:2, alive, 570 days 532.0
DO45105 61 years, male, NA, stage:1, alive, 1680 days 507.3
DO45111 74 years, male, NA, stage:2, alive, 1590 days 481.8
DO23509 60 years, male, NA, stage:3, dead, 780 days 464.4
DO45167 67 years, male, NA, stage:2, dead, 1440 days 457.6
DO45107 63 years, female, NA, stage:2, alive, 1710 days 416.8
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LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples 330
Samples
Sample ID Sample type nRPX
537 Tumor 0.4
567 Tumor 0.3
393 Tumor 0.3
557 Tumor 0.3
1021 Tumor 0.3
131 Tumor 0.3
223 Tumor 0.3
965 Tumor 0.3
367 Tumor 0.3
327 Tumor 0.3
937 Tumor 0.2
815 Tumor 0.2
452 Normal 0.2
113 Tumor 0.2
285 Tumor 0.2
467 Tumor 0.2
481 Tumor 0.2
1027 Tumor 0.2
387 Tumor 0.2
286 Normal 0.2
523 Tumor 0.2
685 Tumor 0.2
422 Normal 0.2
636 Normal 0.2
471 Tumor 0.2
473 Tumor 0.2
1014 Normal 0.2
212 Normal 0.2
981 Tumor 0.2
727 Tumor 0.2
978 Normal 0.2
983 Tumor 0.2
955 Tumor 0.2
463 Tumor 0.2
743 Tumor 0.2
745 Tumor 0.2
414 Normal 0.2
451 Tumor 0.2
545 Tumor 0.2
617 Tumor 0.2
524 Normal 0.2
926 Normal 0.2
331 Tumor 0.1
865 Tumor 0.1
284 Normal 0.1
464 Normal 0.1
554 Normal 0.1
426 Normal 0.1
195 Tumor 0.1
421 Tumor 0.1
466 Normal 0.1
723 Tumor 0.1
951 Tumor 0.1
526 Normal 0.1
497 Tumor 0.1
413 Tumor 0.1
737 Tumor 0.1
145 Tumor 0.1
267 Tumor 0.1
778 Normal 0.1
858 Normal 0.1
395 Tumor 0.1
824 Normal 0.1
957 Tumor 0.1
967 Tumor 0.1
1025 Tumor 0.1
135 Tumor 0.1
515 Tumor 0.1
128 Normal 0.1
744 Normal 0.1
227 Tumor 0.1
912 Normal 0.1
618 Normal 0.1
385 Tumor 0.1
851 Tumor 0.1
918 Normal 0.1
222 Normal 0.1
217 Tumor 0.1
191 Tumor 0.1
186 Normal 0.1
952 Normal 0.1
861 Tumor 0.1
922 Normal 0.1
746 Normal 0.1
1016 Normal 0.1
224 Normal 0.1
984 Normal 0.1
394 Normal 0.1
124 Normal 0.1
882 Normal 0.1
817 Tumor 0.1
534 Normal 0.1
353 Tumor 0.1
111 Normal 0.1
785 Tumor 0.1
968 Normal 0.1
533 Tumor 0.1
938 Normal 0.1
392 Normal 0.1
114 Normal 0.1
477 Tumor 0.1
187 Tumor 0.1
424 Normal 0.1
518 Normal 0.1
443 Tumor 0.1
356 Normal 0.1
1042 Normal 0.1
964 Normal 0.1
355 Tumor 0.1
514 Normal 0.1
517 Tumor 0.1
777 Tumor 0.1
738 Normal 0.1
696 Normal 0.1
277 Tumor 0.1
162 Normal 0.1
455 Tumor 0.1
343 Tumor 0.1
944 Normal 0.1
661 Tumor 0.1
488 Normal 0.0
474 Normal 0.0
332 Normal 0.0
923 Tumor 0.0
525 Tumor 0.0
278 Normal 0.0
755 Tumor 0.0
428 Normal 0.0
482 Normal 0.0
262 Normal 0.0
966 Normal 0.0
257 Tumor 0.0
136 Normal 0.0
648 Normal 0.0
546 Normal 0.0
527 Tumor 0.0
722 Normal 0.0
446 Normal 0.0
558 Normal 0.0
214 Normal 0.0
221 Tumor 0.0
434 Normal 0.0
1031 Tumor 0.0
412 Normal 0.0
916 Normal 0.0
427 Tumor 0.0
462 Normal 0.0
137 Tumor 0.0
445 Tumor 0.0
436 Normal 0.0
1026 Normal 0.0
228 Normal 0.0
852 Normal 0.0
232 Normal 0.0
271 Tumor 0.0
1015 Tumor 0.0
342 Normal 0.0
915 Tumor 0.0
411 Tumor 0.0
314 Normal 0.0
976 Normal 0.0
138 Normal 0.0
956 Normal 0.0
642 Normal 0.0
283 Tumor 0.0
147 Tumor 0.0
213 Tumor 0.0
728 Normal 0.0
535 Tumor 0.0
953 Tumor 0.0
982 Normal 0.0
756 Normal 0.0
715 Tumor 0.0
298 Normal 0.0
492 Normal 0.0
388 Normal 0.0
312 Normal 0.0
1028 Normal 0.0
125 Tumor 0.0
461 Tumor 0.0
172 Normal 0.0
816 Normal 0.0
472 Normal 0.0
358 Normal 0.0
423 Tumor 0.0
924 Normal 0.0
196 Normal 0.0
425 Tumor 0.0
376 Normal 0.0
1022 Normal 0.0
564 Normal 0.0
351 Tumor 0.0
878 Normal 0.0
917 Tumor 0.0
528 Normal 0.0
628 Normal 0.0
823 Tumor 0.0
538 Normal 0.0
697 Tumor 0.0
1032 Normal 0.0
516 Normal 0.0
494 Normal 0.0
1041 Tumor 0.0
686 Normal 0.0
391 Tumor 0.0
635 Tumor 0.0
963 Tumor 0.0
1044 Normal 0.0
386 Normal 0.0
188 Normal 0.0
724 Normal 0.0
432 Normal 0.0
954 Normal 0.0
448 Normal 0.0
365 Tumor 0.0
112 Tumor 0.0
1046 Normal 0.0
698 Normal 0.0
366 Normal 0.0
185 Tumor 0.0
1013 Tumor 0.0
161 Tumor 0.0
211 Tumor 0.0
1043 Tumor 0.0
444 Normal 0.0
468 Normal 0.0
574 Normal 0.0
568 Normal 0.0
884 Normal 0.0
127 Tumor -0.1
148 Normal -0.1
487 Tumor -0.1
465 Tumor -0.1
664 Normal -0.1
368 Normal -0.1
456 Normal -0.1
913 Tumor -0.1
864 Normal -0.1
142 Normal -0.1
272 Normal -0.1
662 Normal -0.1
363 Tumor -0.1
573 Tumor -0.1
572 Normal -0.1
713 Tumor -0.1
483 Tumor -0.1
975 Tumor -0.1
268 Normal -0.1
484 Normal -0.1
171 Tumor -0.1
364 Normal -0.1
914 Normal -0.1
361 Tumor -0.1
493 Tumor -0.1
714 Normal -0.1
716 Normal -0.1
328 Normal -0.1
958 Normal -0.1
396 Normal -0.1
877 Tumor -0.1
925 Tumor -0.1
627 Tumor -0.1
911 Tumor -0.1
313 Tumor -0.1
375 Tumor -0.1
218 Normal -0.1
943 Tumor -0.1
536 Normal -0.1
813 Tumor -0.1
873 Tumor -0.1
921 Tumor -0.1
258 Normal -0.1
553 Tumor -0.1
883 Tumor -0.1
132 Normal -0.1
866 Normal -0.1
786 Normal -0.1
478 Normal -0.1
362 Normal -0.1
513 Tumor -0.1
666 Normal -0.1
571 Tumor -0.1
416 Normal -0.1
862 Normal -0.1
742 Normal -0.1
357 Tumor -0.1
615 Tumor -0.1
695 Tumor -0.1
672 Normal -0.1
126 Normal -0.1
344 Normal -0.1
261 Tumor -0.1
447 Tumor -0.1
818 Normal -0.1
231 Tumor -0.1
616 Normal -0.1
663 Tumor -0.1
857 Tumor -0.1
297 Tumor -0.1
431 Tumor -0.1
352 Normal -0.1
433 Tumor -0.1
491 Tumor -0.1
671 Tumor -0.1
977 Tumor -0.1
123 Tumor -0.1
146 Normal -0.1
874 Normal -0.2
192 Normal -0.2
665 Tumor -0.2
814 Normal -0.2
647 Tumor -0.2
141 Tumor -0.2
868 Normal -0.2
354 Normal -0.2
435 Tumor -0.2
498 Normal -0.2
384 Normal -0.2
721 Tumor -0.2
867 Tumor -0.2
881 Tumor -0.2
415 Tumor -0.2
563 Tumor -0.2
311 Tumor -0.2
341 Tumor -0.2
741 Tumor -0.3
383 Tumor -0.3
641 Tumor -0.3
1045 Tumor -0.4
863 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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