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RPL6
HPA
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  • RPL6
CANCER LIVER CANCER Show tissue menu
BREAST CANCER CARCINOID CERVICAL CANCER COLORECTAL CANCER ENDOMETRIAL CANCER GLIOMA HEAD AND NECK CANCER LIVER CANCER LUNG CANCER LYMPHOMA
MELANOMA OVARIAN CANCER PANCREATIC CANCER PROSTATE CANCER RENAL CANCER SKIN CANCER STOMACH CANCER TESTIS CANCER THYROID CANCER UROTHELIAL CANCER
LIHC TCGA LIHC VALIDATION PROTEIN LIHC CPTAC PROTEIN EXPRESSION
ANTIBODIES
AND
VALIDATION
Dictionary
Liver cancer
Human cancer
Liver hepatocellular carcinoma
LIVER HEPATOCELLULAR CARCINOMA (TCGA) - Interactive survival scatter ploti

The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.

The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".

Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.

Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.

& Survival analysisi

Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.

RPL6 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.

: 1374.85
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 1087.3
Number of samples 362
Samples
Sample Description pTPM
TCGA-CC-A7II-01A 54 years, male, asian, stage:Stage IIIA, alive, 399 days 4628.6
TCGA-FV-A3I0-01A 76 years, female, white, stage:Stage II, alive, 848 days 4489.3
TCGA-G3-A7M9-01A 70 years, male, white, stage:Stage IIIB, dead, 56 days 3398.8
TCGA-G3-A25T-01A 45 years, female, white, stage:Stage IIIA, alive, 1553 days 3172.2
TCGA-DD-AAE0-01A 45 years, female, asian, stage:Stage IIIA, alive, 555 days 3162.8
TCGA-BC-A112-01A 80 years, male, white, stage:'--, dead, 153 days 2837.2
TCGA-5C-A9VG-01A 58 years, male, white, stage:Stage II, alive, 328 days 2831.0
TCGA-CC-A7IE-01A 57 years, male, asian, stage:Stage IIIA, dead, 217 days 2565.2
TCGA-DD-AA3A-01A 81 years, female, white, stage:Stage I, dead, 410 days 2489.7
TCGA-DD-AACP-01A 64 years, male, asian, stage:Stage I, alive, 415 days 2459.4
TCGA-G3-AAV6-01A 53 years, female, white, stage:Stage IIIA, dead, 65 days 2440.1
TCGA-ED-A8O5-01A 59 years, female, asian, stage:Stage IIIA, alive, 406 days 2427.8
TCGA-XR-A8TF-01A 74 years, male, white, stage:Stage I, dead, 693 days 2385.3
TCGA-DD-AADN-01A 59 years, male, asian, stage:Stage I, alive, 898 days 2349.7
TCGA-CC-A8HV-01A 51 years, female, asian, stage:Stage II, dead, 279 days 2279.7
TCGA-MI-A75C-01A 64 years, male, white, stage:Stage I, alive, 291 days 2133.1
TCGA-DD-AAED-01A 51 years, male, asian, stage:Stage I, alive, 763 days 2070.7
TCGA-BC-A69H-01A 64 years, male, white, stage:Stage II, alive, 444 days 2067.8
TCGA-CC-5258-01A 48 years, male, asian, stage:Stage II, dead, 129 days 2030.8
TCGA-DD-AADI-01A 43 years, female, asian, stage:Stage I, alive, 1085 days 2018.1
TCGA-CC-A9FW-01A 68 years, male, asian, stage:Stage IIIA, alive, 248 days 1970.3
TCGA-DD-AACL-01A 66 years, female, asian, stage:Stage I, dead, 107 days 1959.6
TCGA-CC-A5UC-01A 63 years, male, asian, stage:Stage IIIA, dead, 347 days 1922.6
TCGA-CC-A8HU-01A 39 years, female, asian, stage:Stage IIIA, dead, 344 days 1911.1
TCGA-UB-A7MA-01A 62 years, female, white, stage:Stage II, alive, 848 days 1895.4
TCGA-ED-A5KG-01A 60 years, female, asian, stage:Stage II, alive, 854 days 1871.6
TCGA-DD-AADO-01A 55 years, male, asian, stage:Stage I, alive, 453 days 1869.2
TCGA-ED-A7PX-01A 48 years, female, asian, stage:Stage II, alive, 6 days 1863.5
TCGA-RC-A6M6-01A 75 years, male, white, stage:Stage II, alive, 9 days 1847.1
TCGA-K7-AAU7-01A 61 years, male, white, stage:Stage II, alive, 359 days 1844.6
TCGA-DD-AACK-01A 70 years, male, asian, stage:Stage I, alive, 9 days 1804.1
TCGA-DD-A1EH-01A 23 years, male, white, stage:Stage III, alive, 1495 days 1795.6
TCGA-KR-A7K7-01A 61 years, female, white, stage:Stage II, alive, 951 days 1785.0
TCGA-DD-AAD5-01A 54 years, male, asian, stage:Stage I, alive, 1345 days 1776.1
TCGA-CC-A123-01A 24 years, female, asian, stage:Stage IIIA, alive, 219 days 1745.2
TCGA-DD-A1EF-01A 57 years, female, white, stage:Stage I, dead, 394 days 1741.9
TCGA-ED-A8O6-01A 50 years, female, asian, stage:Stage IIIA, dead, 56 days 1737.0
TCGA-EP-A2KB-01A 46 years, female, white, stage:Stage I, dead, 596 days 1733.8
TCGA-DD-A39Y-01A 67 years, male, asian, stage:Stage I, dead, 171 days 1733.0
TCGA-DD-AACN-01A 32 years, male, asian, stage:Stage I, alive, 1302 days 1729.0
TCGA-DD-AADB-01A 51 years, male, asian, stage:Stage I, alive, 1242 days 1700.1
TCGA-DD-A4NN-01A 56 years, female, white, stage:Stage I, dead, 899 days 1696.1
TCGA-CC-A7IJ-01A 56 years, male, asian, stage:Stage II, alive, 382 days 1685.8
TCGA-DD-A1EJ-01A 71 years, female, white, stage:Stage IIIC, dead, 1005 days 1675.8
TCGA-CC-A3M9-01A 45 years, male, asian, stage:Stage IIIA, dead, 300 days 1671.8
TCGA-DD-AADP-01A 45 years, male, asian, stage:Stage I, alive, 458 days 1643.1
TCGA-ED-A66Y-01A 51 years, female, asian, stage:Stage IIIA, dead, 296 days 1640.3
TCGA-YA-A8S7-01A 68 years, male, white, stage:Stage IIIA, dead, 412 days 1619.8
TCGA-CC-A1HT-01A 50 years, male, asian, stage:Stage IIIA, dead, 101 days 1611.1
TCGA-EP-A2KA-01A 52 years, female, white, stage:Stage IIIA, dead, 627 days 1589.3
TCGA-CC-A8HS-01A 18 years, male, asian, stage:Stage IIIC, dead, 300 days 1581.1
TCGA-G3-A25X-01A 73 years, male, asian, stage:Stage II, alive, 1779 days 1562.6
TCGA-DD-AACZ-01A 63 years, female, asian, stage:Stage I, dead, 171 days 1560.5
TCGA-RG-A7D4-01A 69 years, male, black or african american, stage:Stage II, alive, 1098 days 1558.2
TCGA-XR-A8TC-01A 43 years, female, white, stage:Stage I, alive, 1339 days 1550.1
TCGA-G3-A7M6-01A 60 years, female, white, stage:Stage I, alive, 632 days 1542.1
TCGA-G3-A25Y-01A 52 years, female, asian, stage:Stage I, dead, 452 days 1539.7
TCGA-2Y-A9H2-01A 64 years, female, white, stage:Stage I, alive, 1731 days 1530.5
TCGA-DD-A3A7-01A 67 years, male, stage:Stage IIIB, dead, 419 days 1527.7
TCGA-DD-AADC-01A 53 years, male, asian, stage:Stage I, dead, 425 days 1508.0
TCGA-DD-AACG-01A 52 years, male, asian, stage:Stage II, dead, 469 days 1505.5
TCGA-MI-A75H-01A 77 years, male, white, stage:'--, alive, 747 days 1503.5
TCGA-CC-5261-01A 44 years, male, asian, stage:Stage II, dead, 97 days 1495.6
TCGA-DD-AAVP-01A 48 years, male, asian, stage:Stage I, alive, 2752 days 1482.2
TCGA-2Y-A9GY-01A 64 years, female, white, stage:Stage II, dead, 757 days 1476.6
TCGA-BW-A5NO-01A 50 years, male, black or african american, stage:Stage IIIA, alive, 20 days 1463.7
TCGA-CC-A5UE-01A 48 years, male, asian, stage:Stage IIIB, dead, 272 days 1459.6
TCGA-CC-A7IG-01A 47 years, male, asian, stage:Stage II, dead, 299 days 1445.9
TCGA-WQ-A9G7-01A 71 years, female, white, stage:'--, alive, 30 days 1442.9
TCGA-DD-AACB-01A 74 years, female, asian, stage:Stage I, alive, 2324 days 1440.8
TCGA-CC-A8HT-01A 74 years, male, asian, stage:Stage IIIA, dead, 140 days 1435.5
TCGA-DD-AADW-01A 48 years, male, asian, stage:Stage I, alive, 587 days 1432.4
TCGA-DD-A4NR-01A 85 years, female, white, stage:Stage I, dead, 9 days 1418.0
TCGA-ED-A82E-01A 60 years, female, asian, stage:Stage IIIA, alive, 408 days 1403.3
TCGA-CC-5263-01A 35 years, male, asian, stage:Stage IIIA, dead, 129 days 1378.8
TCGA-DD-A1EL-01A 23 years, male, black or african american, stage:Stage II, dead, 415 days 1375.8
TCGA-DD-A3A1-01A 65 years, male, stage:Stage IIIA, dead, 233 days 1374.9
TCGA-2Y-A9H7-01A 81 years, female, white, stage:Stage I, alive, 1168 days 1371.5
TCGA-DD-AADD-01A 51 years, male, asian, stage:Stage I, alive, 1231 days 1364.6
TCGA-DD-AADJ-01A 70 years, female, asian, stage:Stage I, alive, 1066 days 1350.0
TCGA-EP-A26S-01A 70 years, male, white, stage:Stage I, alive, 608 days 1347.5
TCGA-G3-AAUZ-01A 48 years, male, stage:Stage I, alive, 480 days 1338.1
TCGA-DD-A39V-01A 77 years, male, white, stage:Stage II, dead, 643 days 1332.2
TCGA-CC-5260-01A 61 years, female, asian, stage:Stage IIIC, dead, 87 days 1319.3
TCGA-KR-A7K8-01A 57 years, male, stage:Stage I, alive, 906 days 1310.9
TCGA-DD-AADR-01A 58 years, male, asian, stage:Stage I, alive, 2028 days 1304.9
TCGA-ED-A7PZ-01A 61 years, male, asian, stage:Stage II, alive, 6 days 1300.0
TCGA-DD-AACW-01A 43 years, male, asian, stage:Stage I, alive, 1424 days 1299.7
TCGA-DD-AAVU-01A 46 years, male, asian, stage:Stage II, alive, 2202 days 1298.2
TCGA-CC-A7IK-01A 59 years, male, asian, stage:Stage IIIA, dead, 262 days 1292.7
TCGA-FV-A4ZQ-01A 52 years, male, white, stage:Stage I, alive, 12 days 1285.3
TCGA-G3-AAV1-01A 51 years, male, asian, stage:Stage IIIC, dead, 359 days 1283.3
TCGA-DD-A73G-01A 73 years, female, white, stage:Stage I, alive, 3478 days 1277.7
TCGA-DD-A119-01A 40 years, male, asian, stage:Stage IV, dead, 223 days 1268.5
TCGA-CC-A3MA-01A 61 years, male, asian, stage:Stage IIIA, dead, 303 days 1267.1
TCGA-BC-A10Q-01A 72 years, female, white, stage:'--, dead, 1135 days 1264.1
TCGA-DD-AAEI-01A 72 years, male, asian, stage:Stage I, alive, 1531 days 1259.9
TCGA-DD-AADA-01A 66 years, female, asian, stage:Stage I, alive, 1233 days 1255.9
TCGA-DD-AAEH-01A 73 years, male, asian, stage:Stage I, alive, 784 days 1244.2
TCGA-DD-AACY-01A 61 years, male, asian, stage:Stage I, alive, 1450 days 1231.3
TCGA-DD-AAVS-01A 56 years, male, asian, stage:Stage I, alive, 1823 days 1230.3
TCGA-UB-A7MB-01A 24 years, male, white, stage:Stage II, alive, 601 days 1226.1
TCGA-FV-A23B-01A 70 years, female, white, stage:Stage II, dead, 1852 days 1222.4
TCGA-CC-A5UD-01A 45 years, male, asian, stage:Stage IIIA, dead, 304 days 1218.3
TCGA-DD-AAD6-01A 66 years, male, asian, stage:Stage IIIA, alive, 672 days 1215.7
TCGA-DD-AACJ-01A 75 years, male, asian, stage:Stage II, alive, 2102 days 1207.3
TCGA-FV-A4ZP-01A 78 years, male, white, stage:Stage IIIA, dead, 2486 days 1206.6
TCGA-DD-AACQ-01A 50 years, male, asian, stage:Stage II, dead, 432 days 1203.5
TCGA-G3-AAV7-01A 38 years, male, asian, stage:Stage II, alive, 361 days 1197.4
TCGA-DD-A1EI-01A 46 years, male, asian, stage:Stage I, alive, 183 days 1184.8
TCGA-CC-5264-01A 71 years, male, asian, stage:Stage IIIA, dead, 102 days 1180.4
TCGA-DD-AACI-01A 69 years, male, asian, stage:Stage II, alive, 1618 days 1178.0
TCGA-UB-A7ME-01A 51 years, male, asian, stage:Stage I, alive, 486 days 1174.6
TCGA-BC-A10T-01A 76 years, male, white, stage:'--, dead, 837 days 1172.0
TCGA-DD-AACU-01A 59 years, male, asian, stage:Stage I, alive, 1567 days 1154.2
TCGA-HP-A5N0-01A 90 years, female, stage:'--, dead, 752 days 1138.1
TCGA-G3-A25S-01A 64 years, male, white, stage:Stage I, dead, 416 days 1127.0
TCGA-DD-A4NH-01A 65 years, female, white, stage:Stage IIIB, alive, 917 days 1125.7
TCGA-DD-A39X-01A 78 years, female, white, stage:Stage I, dead, 1694 days 1113.1
TCGA-DD-A39Z-01A 43 years, female, stage:Stage II, dead, 601 days 1108.2
TCGA-DD-A3A9-01A 64 years, female, white, stage:Stage IVB, dead, 931 days 1104.7
TCGA-DD-AACO-01A 40 years, male, asian, stage:Stage I, alive, 1876 days 1103.0
TCGA-DD-AAVQ-01A 38 years, male, asian, stage:Stage I, alive, 2728 days 1102.4
TCGA-2Y-A9GS-01A 58 years, male, white, stage:'--, dead, 724 days 1093.0
TCGA-CC-5262-01A 67 years, male, asian, stage:Stage IIIC, dead, 103 days 1091.0
TCGA-DD-AAE4-01A 49 years, female, asian, stage:Stage I, alive, 608 days 1090.0
TCGA-G3-A5SJ-01A 59 years, male, white, stage:Stage I, alive, 698 days 1087.5
TCGA-DD-AADV-01A 50 years, male, asian, stage:Stage I, alive, 574 days 1085.1
TCGA-BC-A216-01A 62 years, female, white, stage:Stage IIIA, alive, 1351 days 1082.8
TCGA-DD-AAD1-01A 51 years, female, asian, stage:Stage I, alive, 564 days 1079.6
TCGA-G3-AAV5-01A 67 years, male, white, stage:Stage II, alive, 354 days 1075.7
TCGA-DD-AAE1-01A 52 years, male, asian, stage:Stage I, alive, 552 days 1074.9
TCGA-PD-A5DF-01A 58 years, female, white, stage:Stage IIIB, dead, 639 days 1072.5
TCGA-DD-A4NS-01A 61 years, female, white, stage:Stage I, dead, 2456 days 1063.1
TCGA-GJ-A3OU-01A 59 years, male, white, stage:Stage I, alive, 879 days 1062.5
TCGA-FV-A2QQ-01A 80 years, male, white, stage:Stage I, alive, 729 days 1062.0
TCGA-ED-A66X-01A 35 years, male, asian, stage:Stage IIIA, alive, 406 days 1061.7
TCGA-CC-A3MB-01A 36 years, male, asian, stage:Stage IIIA, dead, 315 days 1053.0
TCGA-DD-AACD-01A 48 years, male, asian, stage:Stage I, dead, 381 days 1052.0
TCGA-G3-AAV2-01A 50 years, male, white, stage:Stage I, alive, 372 days 1048.5
TCGA-ZS-A9CG-01A 55 years, male, white, stage:Stage II, alive, 341 days 1044.6
TCGA-WQ-AB4B-01A 62 years, male, white, stage:Stage II, alive, 395 days 1043.7
TCGA-2Y-A9H3-01A 45 years, male, white, stage:Stage II, alive, 1516 days 1039.7
TCGA-2Y-A9H0-01A 49 years, male, white, stage:Stage IIIA, alive, 3675 days 1035.4
TCGA-BC-A5W4-01A 69 years, male, white, stage:Stage IIIA, dead, 547 days 1031.4
TCGA-DD-A73E-01A 66 years, male, white, stage:Stage I, alive, 44 days 1030.5
TCGA-FV-A3R2-01A 75 years, male, white, stage:Stage I, dead, 194 days 1028.5
TCGA-DD-A39W-01A 29 years, female, white, stage:Stage III, dead, 827 days 1028.4
TCGA-G3-A25U-01A 63 years, female, asian, stage:Stage I, alive, 1636 days 1027.1
TCGA-FV-A495-01A 51 years, female, white, stage:Stage II, alive, 1 days 1022.0
TCGA-MI-A75E-01A 61 years, male, white, stage:Stage IIIC, alive, 507 days 1013.0
TCGA-MI-A75I-01A 61 years, male, black or african american, stage:'--, alive, 630 days 1006.9
TCGA-DD-AAW3-01A 69 years, male, asian, stage:Stage I, alive, 1633 days 1004.8
TCGA-BC-A10S-01A 81 years, male, white, stage:'--, dead, 1423 days 997.3
TCGA-DD-AACX-01A 66 years, male, asian, stage:Stage II, alive, 170 days 996.4
TCGA-WX-AA44-01A 64 years, female, white, stage:Stage I, alive, 615 days 995.8
TCGA-ZP-A9D2-01A 51 years, male, white, stage:'--, dead, 765 days 992.6
TCGA-BC-A3KF-01A 66 years, female, white, stage:Stage I, alive, 8 days 991.6
TCGA-G3-A3CK-01A 61 years, male, asian, stage:Stage I, alive, 585 days 991.2
TCGA-RC-A7S9-01A 47 years, female, asian, stage:Stage I, alive, 640 days 983.8
TCGA-DD-A4ND-01A 56 years, female, white, stage:Stage I, alive, 2746 days 974.3
TCGA-BC-A10Y-01A 76 years, male, white, stage:'--, dead, 711 days 970.8
TCGA-EP-A3RK-01A 73 years, male, white, stage:Stage IIIA, alive, 363 days 964.7
TCGA-DD-AACC-01A 61 years, male, asian, stage:Stage I, dead, 1685 days 964.5
TCGA-DD-A73D-01A 68 years, female, white, stage:Stage II, alive, 693 days 959.9
TCGA-2Y-A9H1-01A 58 years, male, white, stage:Stage I, dead, 1229 days 958.8
TCGA-BC-A8YO-01A 66 years, female, white, stage:Stage IIIC, alive, 562 days 956.2
TCGA-ZS-A9CE-01A 79 years, female, white, stage:Stage II, alive, 1241 days 950.6
TCGA-DD-A4NJ-01A 54 years, female, white, stage:Stage II, alive, 928 days 949.9
TCGA-EP-A3JL-01A 76 years, male, white, stage:Stage I, alive, 303 days 948.9
TCGA-DD-AAC8-01A 72 years, male, asian, stage:Stage I, dead, 16 days 948.1
TCGA-ED-A7PY-01A 20 years, female, asian, stage:Stage II, alive, 390 days 945.3
TCGA-DD-A1EC-01A 20 years, female, white, stage:Stage I, alive, 602 days 945.2
TCGA-MI-A75G-01A 63 years, male, white, stage:Stage II, alive, 698 days 944.2
TCGA-DD-A3A3-01A 45 years, male, asian, stage:Stage I, dead, 535 days 943.5
TCGA-DD-AADL-01A 58 years, male, asian, stage:Stage I, alive, 636 days 943.2
TCGA-ZP-A9CZ-01A 72 years, male, asian, stage:'--, alive, 706 days 934.2
TCGA-ED-A459-01A 47 years, male, asian, stage:Stage II, alive, 910 days 929.2
TCGA-DD-AAW2-01A 69 years, male, asian, stage:Stage I, alive, 1855 days 926.5
TCGA-5R-AAAM-01A 65 years, female, white, stage:Stage II, dead, 46 days 924.5
TCGA-ES-A2HS-01A 80 years, male, white, stage:Stage I, dead, 688 days 924.1
TCGA-G3-A25V-01A 68 years, male, white, stage:Stage I, alive, 860 days 920.9
TCGA-G3-A3CJ-01A 52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days 918.1
TCGA-DD-AADM-01A 58 years, male, asian, stage:Stage II, dead, 12 days 916.6
TCGA-DD-AADQ-01A 59 years, male, asian, stage:Stage II, alive, 436 days 913.8
TCGA-RC-A7SK-01A 59 years, male, asian, stage:Stage I, alive, 472 days 909.5
TCGA-ZP-A9D4-01A 64 years, female, white, stage:'--, alive, 395 days 902.3
TCGA-DD-AAVZ-01A 38 years, male, asian, stage:Stage I, alive, 1900 days 902.2
TCGA-5R-AA1C-01A 57 years, male, white, stage:Stage II, alive, 520 days 898.6
TCGA-G3-A7M7-01A 65 years, male, white, stage:Stage I, alive, 361 days 898.5
TCGA-DD-AAE6-01A 59 years, female, asian, stage:Stage I, alive, 141 days 898.2
TCGA-DD-AAVY-01A 56 years, male, asian, stage:Stage IIIA, alive, 1970 days 896.6
TCGA-DD-AAE9-01A 69 years, male, asian, stage:Stage I, alive, 722 days 896.2
TCGA-CC-A7IH-01A 58 years, male, asian, stage:Stage IIIA, alive, 365 days 894.8
TCGA-RC-A7SH-01A 42 years, male, asian, stage:Stage II, alive, 468 days 894.7
TCGA-DD-AAVW-01A 35 years, male, asian, stage:Stage I, alive, 2317 days 889.3
TCGA-BC-A69I-01A 69 years, male, white, stage:Stage I, alive, 387 days 888.8
TCGA-DD-AAVV-01A 56 years, male, asian, stage:Stage II, alive, 2455 days 886.7
TCGA-KR-A7K0-01A 65 years, male, white, stage:Stage I, dead, 65 days 883.6
TCGA-DD-A114-01A 42 years, male, black or african american, stage:Stage II, dead, 1149 days 880.8
TCGA-XR-A8TG-01A 58 years, male, white, stage:Stage I, alive, 898 days 876.0
TCGA-2Y-A9H5-01A 59 years, female, white, stage:Stage I, dead, 555 days 874.8
TCGA-G3-AAV0-01A 58 years, male, asian, stage:Stage I, alive, 476 days 870.0
TCGA-BD-A3EP-01A 75 years, female, black or african american, stage:Stage I, alive, 409 days 868.9
TCGA-2Y-A9GZ-01A 82 years, female, white, stage:Stage II, dead, 848 days 864.3
TCGA-WX-AA47-01A 33 years, female, white, stage:Stage IIIA, dead, 556 days 864.2
TCGA-ED-A627-01A 74 years, male, white, stage:Stage I, alive, 423 days 861.8
TCGA-DD-AAEE-01A 55 years, male, asian, stage:Stage I, alive, 810 days 857.2
TCGA-G3-AAV4-01A 83 years, female, white, stage:Stage I, dead, 27 days 856.3
TCGA-DD-AAD2-01A 66 years, male, asian, stage:Stage I, alive, 658 days 854.3
TCGA-4R-AA8I-01A 66 years, male, white, stage:Stage II, dead, 262 days 853.7
TCGA-QA-A7B7-01A 48 years, male, black or african american, stage:Stage II, alive, 94 days 851.8
TCGA-DD-A3A4-01A 37 years, male, white, stage:Stage IIIA, dead, 612 days 846.8
TCGA-DD-AAVR-01A 44 years, male, asian, stage:Stage I, alive, 2513 days 846.8
TCGA-MR-A8JO-01A 34 years, male, white, stage:Stage I, alive, 330 days 846.7
TCGA-DD-A1EG-01A 76 years, male, white, stage:Stage I, dead, 1372 days 846.1
TCGA-KR-A7K2-01A 64 years, male, white, stage:Stage I, alive, 829 days 842.2
TCGA-BC-A3KG-01A 68 years, female, white, stage:Stage II, alive, 680 days 840.3
TCGA-DD-A118-01A 77 years, female, white, stage:Stage II, alive, 3437 days 836.0
TCGA-2Y-A9HA-01A 70 years, male, white, stage:Stage II, dead, 36 days 832.6
TCGA-FV-A3I1-01A 81 years, female, white, stage:Stage II, dead, 247 days 830.2
TCGA-DD-AAD8-01A 73 years, female, asian, stage:Stage I, alive, 1219 days 830.0
TCGA-DD-AAEG-01A 59 years, female, asian, stage:Stage I, alive, 719 days 829.1
TCGA-DD-AADG-01A 70 years, male, asian, stage:Stage IIIA, alive, 1145 days 828.6
TCGA-ED-A7XO-01A 29 years, male, asian, stage:Stage IIIA, alive, 427 days 828.3
TCGA-DD-A4NF-01A 72 years, male, white, stage:Stage I, alive, 942 days 826.4
TCGA-5R-AA1D-01A 17 years, female, white, stage:Stage IIIA, alive, 449 days 822.6
TCGA-DD-A4NQ-01A 60 years, male, white, stage:Stage II, dead, 373 days 822.0
TCGA-G3-A7M5-01A 76 years, male, asian, stage:Stage I, alive, 447 days 821.8
TCGA-XR-A8TE-01A 16 years, male, white, stage:Stage IIIA, alive, 925 days 819.4
TCGA-2Y-A9GX-01A 68 years, male, white, stage:Stage I, alive, 2442 days 818.5
TCGA-ZS-A9CF-01A 64 years, male, white, stage:Stage II, alive, 2412 days 815.4
TCGA-UB-A7MC-01A 59 years, male, white, stage:Stage IIIA, alive, 500 days 814.3
TCGA-CC-A9FS-01A 55 years, male, asian, stage:Stage II, alive, 211 days 814.2
TCGA-2Y-A9H4-01A 68 years, male, black or african american, stage:Stage I, alive, 1452 days 813.6
TCGA-BC-A10W-01A 50 years, male, asian, stage:'--, dead, 91 days 812.6
TCGA-DD-A4NA-01A 67 years, female, white, stage:Stage IIIC, alive, 1008 days 811.0
TCGA-DD-A1EE-01A 73 years, male, white, stage:Stage IIIA, dead, 349 days 809.9
TCGA-DD-A4NB-01A 25 years, male, white, stage:Stage I, alive, 989 days 806.4
TCGA-BC-A10U-01A 69 years, male, white, stage:'--, dead, 837 days 805.0
TCGA-G3-A3CH-01A 53 years, male, asian, stage:Stage IIIA, alive, 780 days 803.4
TCGA-UB-A7MD-01A 67 years, male, black or african american, stage:Stage I, dead, 52 days 802.9
TCGA-2Y-A9GW-01A 64 years, male, white, stage:Stage I, dead, 1271 days 801.5
TCGA-DD-AADY-01A 55 years, female, asian, stage:Stage I, alive, 555 days 797.7
TCGA-DD-AACF-01A 68 years, male, asian, stage:Stage I, dead, 365 days 796.9
TCGA-ZP-A9D0-01A 67 years, female, black or african american, stage:'--, alive, 1091 days 795.9
TCGA-2Y-A9H6-01A 68 years, female, white, stage:Stage I, alive, 357 days 791.9
TCGA-DD-A3A5-01A 66 years, female, white, stage:Stage III, dead, 3125 days 788.8
TCGA-G3-A6UC-01A 65 years, male, white, stage:Stage IIIB, alive, 671 days 788.7
TCGA-DD-A4NV-01A 61 years, male, white, stage:Stage IIIA, alive, 2398 days 788.6
TCGA-G3-A5SL-01A 70 years, male, white, stage:Stage II, alive, 621 days 788.5
TCGA-G3-A25Z-01A 58 years, male, asian, stage:Stage I, alive, 655 days 788.2
TCGA-ED-A97K-01A 54 years, male, asian, stage:Stage IIIA, alive, 6 days 786.8
TCGA-3K-AAZ8-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 396 days 786.4
TCGA-DD-AAEB-01A 60 years, male, asian, stage:Stage I, alive, 478 days 785.5
TCGA-DD-A3A8-01A 75 years, male, white, stage:Stage II, dead, 11 days 783.2
TCGA-CC-5259-01A 60 years, female, asian, stage:Stage IIIC, alive, 250 days 782.4
TCGA-DD-AACH-01A 69 years, male, asian, stage:Stage II, dead, 195 days 776.6
TCGA-T1-A6J8-01A 68 years, male, white, stage:'--, alive, 23 days 773.2
TCGA-DD-A113-01A 55 years, female, white, stage:Stage II, alive, 2425 days 772.7
TCGA-DD-A116-01A 68 years, male, asian, stage:Stage IIIA, dead, 1622 days 772.5
TCGA-DD-AAEA-01A 65 years, male, asian, stage:Stage I, alive, 575 days 771.8
TCGA-XR-A8TD-01A 49 years, female, white, stage:Stage IIIB, alive, 1030 days 771.4
TCGA-GJ-A9DB-01A 68 years, male, white, stage:Stage I, dead, 67 days 768.2
TCGA-DD-AAVX-01A 38 years, male, asian, stage:Stage II, alive, 1718 days 767.3
TCGA-G3-A3CI-01A 71 years, male, white, stage:Stage I, alive, 180 days 762.9
TCGA-ZS-A9CD-01A 73 years, male, white, stage:Stage II, dead, 1386 days 756.5
TCGA-DD-A73C-01A 65 years, female, white, stage:Stage IIIA, alive, 701 days 755.9
TCGA-5C-A9VH-01A 70 years, male, white, stage:Stage I, alive, 322 days 755.6
TCGA-BC-A217-01A 75 years, female, white, stage:Stage II, dead, 1397 days 754.7
TCGA-DD-A4NE-01A 75 years, female, white, stage:Stage IIIA, dead, 660 days 754.5
TCGA-DD-AAE2-01A 51 years, male, asian, stage:Stage I, alive, 638 days 754.3
TCGA-DD-AACA-01A 65 years, male, asian, stage:Stage I, alive, 2301 days 754.1
TCGA-RC-A6M5-01A 20 years, female, white, stage:Stage IVA, alive, 15 days 753.5
TCGA-DD-AAEK-01A 51 years, male, asian, stage:Stage II, alive, 1067 days 750.3
TCGA-WX-AA46-01A 61 years, male, white, stage:Stage II, alive, 756 days 749.1
TCGA-2Y-A9H8-01A 85 years, female, white, stage:'--, dead, 633 days 748.4
TCGA-RC-A6M4-01A 74 years, female, white, stage:Stage IIIA, alive, 22 days 748.1
TCGA-EP-A2KC-01A 62 years, male, black or african american, stage:Stage I, dead, 19 days 747.6
TCGA-DD-A73A-01A 71 years, male, white, stage:Stage I, alive, 728 days 743.5
TCGA-DD-AADF-01A 64 years, female, asian, stage:Stage I, dead, 115 days 743.4
TCGA-5C-AAPD-01A 61 years, male, asian, stage:Stage II, alive, 20 days 742.3
TCGA-FV-A3R3-01A 38 years, female, white, stage:Stage I, dead, 366 days 733.7
TCGA-DD-A4NP-01A 32 years, male, white, stage:Stage I, alive, 3308 days 730.1
TCGA-DD-AACV-01A 53 years, male, asian, stage:Stage I, alive, 1531 days 726.2
TCGA-UB-AA0V-01A 69 years, female, white, stage:Stage I, alive, 314 days 721.8
TCGA-O8-A75V-01A 54 years, male, stage:Stage I, alive, 538 days 717.9
TCGA-DD-A11C-01A 69 years, male, white, stage:Stage I, alive, 662 days 712.7
TCGA-G3-AAV3-01A 58 years, female, white, stage:Stage II, alive, 412 days 710.6
TCGA-UB-A7MF-01A 56 years, male, white, stage:Stage IIIA, dead, 214 days 704.9
TCGA-ED-A4XI-01A 58 years, male, asian, stage:Stage II, alive, 819 days 702.9
TCGA-LG-A6GG-01A 79 years, female, white, stage:Stage II, alive, 387 days 700.8
TCGA-DD-AADK-01A 68 years, female, asian, stage:Stage II, alive, 1049 days 697.2
TCGA-FV-A496-01A 84 years, female, white, stage:Stage I, alive, 10 days 694.4
TCGA-RC-A7SB-01A 53 years, male, asian, stage:Stage II, alive, 588 days 690.3
TCGA-HP-A5MZ-01A 78 years, male, stage:Stage I, dead, 91 days 689.9
TCGA-DD-AACS-01A 39 years, male, asian, stage:Stage I, alive, 1804 days 683.7
TCGA-K7-A5RG-01A 66 years, male, black or african american, stage:Stage I, alive, 519 days 677.8
TCGA-ED-A7XP-01A 53 years, female, asian, stage:Stage II, alive, 400 days 677.3
TCGA-BC-A10Z-01A 62 years, female, white, stage:Stage I, dead, 34 days 673.4
TCGA-BC-A110-01A 51 years, female, black or african american, stage:'--, dead, 2116 days 672.6
TCGA-LG-A9QC-01A 48 years, male, white, stage:Stage I, alive, 425 days 668.1
TCGA-2Y-A9HB-01A 66 years, male, stage:Stage I, alive, 260 days 661.7
TCGA-DD-A115-01A 53 years, male, white, stage:Stage IIIA, dead, 2542 days 661.1
TCGA-K7-A6G5-01A 66 years, male, white, stage:Stage I, alive, 512 days 661.0
TCGA-DD-A11B-01A 73 years, male, white, stage:Stage I, dead, 14 days 658.5
TCGA-UB-AA0U-01A 60 years, male, white, stage:Stage II, alive, 327 days 657.0
TCGA-FV-A2QR-01A 75 years, male, white, stage:Stage I, dead, 581 days 656.8
TCGA-G3-A5SI-01A 44 years, male, asian, stage:Stage II, dead, 768 days 656.6
TCGA-DD-AACT-01A 69 years, female, asian, stage:Stage I, alive, 1562 days 648.9
TCGA-MR-A520-01A 58 years, male, white, stage:Stage I, alive, 229 days 645.1
TCGA-BD-A2L6-01A 69 years, male, white, stage:'--, alive, 1363 days 644.3
TCGA-ZP-A9D1-01A 56 years, female, white, stage:'--, alive, 21 days 637.1
TCGA-DD-A4NG-01A 77 years, male, white, stage:Stage IIIA, dead, 802 days 632.9
TCGA-G3-A3CG-01A 80 years, male, white, stage:Stage I, alive, 673 days 630.2
TCGA-DD-AAW0-01A 54 years, male, asian, stage:Stage I, alive, 2015 days 628.3
TCGA-CC-A7IF-01A 59 years, male, asian, stage:Stage IIIA, dead, 649 days 625.1
TCGA-DD-A3A6-01A 72 years, female, white, stage:Stage II, dead, 3258 days 624.8
TCGA-G3-A7M8-01A 31 years, male, asian, stage:Stage I, alive, 430 days 615.0
TCGA-DD-AADS-01A 63 years, male, asian, stage:Stage I, alive, 474 days 614.7
TCGA-NI-A4U2-01A 71 years, male, white, stage:Stage IIIA, dead, 1791 days 612.7
TCGA-RC-A7SF-01A 66 years, male, asian, stage:Stage I, alive, 579 days 610.1
TCGA-WJ-A86L-01A 68 years, female, white, stage:Stage I, alive, 345 days 606.8
TCGA-DD-AAD0-01A 73 years, female, asian, stage:Stage I, alive, 137 days 604.8
TCGA-DD-AADU-01A 60 years, male, asian, stage:Stage II, alive, 554 days 604.2
TCGA-BC-A10R-01A 66 years, female, white, stage:'--, dead, 308 days 603.2
TCGA-DD-A1EA-01A 68 years, male, asian, stage:Stage II, alive, 2415 days 599.3
TCGA-2Y-A9GU-01A 55 years, female, white, stage:Stage I, alive, 1939 days 599.0
TCGA-DD-AAD3-01A 43 years, male, asian, stage:Stage I, alive, 1295 days 587.2
TCGA-DD-AAE3-01A 50 years, male, asian, stage:Stage I, alive, 566 days 585.7
TCGA-CC-A7IL-01A 61 years, male, asian, stage:Stage IIIA, dead, 278 days 584.2
TCGA-DD-AAE7-01A 72 years, male, asian, stage:Stage I, alive, 644 days 583.6
TCGA-DD-AAC9-01A 51 years, male, asian, stage:Stage I, alive, 347 days 583.4
TCGA-DD-A1ED-01A 68 years, male, white, stage:Stage I, alive, 2301 days 581.9
TCGA-ZP-A9CV-01A 59 years, male, white, stage:'--, dead, 1088 days 580.0
TCGA-2Y-A9H9-01A 70 years, male, white, stage:Stage I, alive, 697 days 577.8
TCGA-CC-A3MC-01A 54 years, male, asian, stage:Stage IIIA, alive, 363 days 574.5
TCGA-DD-AAW1-01A 55 years, male, asian, stage:Stage IIIA, alive, 1989 days 568.7
TCGA-BD-A3ER-01A 62 years, male, white, stage:Stage II, alive, 1115 days 567.6
TCGA-DD-A4NO-01A 65 years, male, white, stage:Stage I, alive, 2245 days 560.2
TCGA-BC-A10X-01A 52 years, female, white, stage:Stage IIIA, dead, 770 days 559.3
TCGA-2Y-A9GV-01A 54 years, female, white, stage:Stage I, dead, 2532 days 557.8
TCGA-ZP-A9CY-01A 66 years, female, white, stage:'--, alive, 782 days 553.3
TCGA-DD-AACE-01A 62 years, male, asian, stage:Stage I, alive, 2184 days 550.5
TCGA-G3-A5SM-01A 58 years, male, white, stage:Stage II, alive, 520 days 546.3
TCGA-DD-A3A2-01A 76 years, female, white, stage:Stage I, dead, 2131 days 545.7
TCGA-DD-A1EK-01A 64 years, female, white, stage:Stage IVB, dead, 558 days 534.6
TCGA-GJ-A6C0-01A 75 years, female, white, stage:Stage II, dead, 31 days 530.3
TCGA-DD-A73F-01A 77 years, female, white, stage:Stage I, alive, 1085 days 527.6
TCGA-LG-A9QD-01A 68 years, male, white, stage:Stage IIIA, alive, 366 days 522.6
TCGA-DD-A4NK-01A 80 years, female, white, stage:Stage IIIA, dead, 1210 days 521.8
TCGA-DD-A73B-01A 72 years, female, white, stage:Stage I, dead, 283 days 499.3
TCGA-NI-A8LF-01A 74 years, male, white, stage:Stage I, alive, 799 days 498.7
TCGA-EP-A12J-01A 62 years, male, black or african american, stage:Stage I, alive, 570 days 490.6
TCGA-2Y-A9GT-01A 51 years, male, white, stage:Stage I, dead, 1624 days 482.9
TCGA-DD-A4NL-01A 46 years, male, white, stage:Stage I, alive, 1711 days 475.6
TCGA-DD-A4NI-01A 67 years, male, white, stage:Stage II, alive, 816 days 467.1
TCGA-G3-A5SK-01A 58 years, male, white, stage:Stage I, alive, 744 days 421.4
TCGA-DD-A1EB-01A 72 years, female, stage:Stage I, alive, 2017 days 421.2
TCGA-ES-A2HT-01A 54 years, male, black or african american, stage:Stage I, dead, 438 days 418.1
TCGA-K7-A5RF-01A 64 years, male, white, stage:Stage I, alive, 631 days 388.8
TCGA-DD-A11D-01A 57 years, female, white, stage:Stage I, dead, 1560 days 297.9
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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.

RPL6 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.

: 1549.35
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 1349.0
Number of samples 231
Samples
Sample Description pTPM
DO50785 37 years, male, NA, stage:4, dead, 90 days 4718.5
DO50815 62 years, male, NA, stage:3, alive, 150 days 4455.3
DO45303 62 years, female, NA, stage:3, alive, 990 days 3871.0
DO23515 71 years, male, NA, stage:2, alive, 1230 days 3566.9
DO45259 65 years, male, NA, stage:3, alive, 330 days 3526.1
DO45305 66 years, male, NA, stage:4, alive, 300 days 3259.5
DO45093 71 years, male, NA, stage:2, dead, 720 days 3065.6
DO45285 59 years, male, NA, stage:3, alive, 480 days 3055.5
DO45127 73 years, male, NA, stage:3, dead, 420 days 2870.1
DO48737 52 years, male, NA, stage:1, alive, 720 days 2778.0
DO45217 69 years, female, NA, stage:3, dead, 270 days 2757.7
DO48682 72 years, female, NA, stage:3, dead, 120 days 2665.2
DO23519 65 years, male, NA, stage:3, alive, 630 days 2615.7
DO45251 57 years, female, NA, stage:2, alive, 900 days 2560.4
DO45209 70 years, male, NA, stage:4, alive, 1350 days 2447.1
DO45213 58 years, male, NA, stage:1, alive, 1200 days 2411.7
DO23545 67 years, male, NA, stage:2, dead, 570 days 2308.0
DO45307 54 years, female, NA, stage:4, dead, 240 days 2270.6
DO23530 53 years, male, NA, stage:4, dead, 180 days 2262.5
DO48720 62 years, female, NA, stage:2, alive, 570 days 2257.4
DO48747 62 years, male, NA, stage:3, alive, 540 days 2193.0
DO45173 63 years, male, NA, stage:3, alive, 1170 days 2174.1
DO45249 57 years, male, NA, stage:1, alive, 630 days 2163.6
DO50855 47 years, male, NA, stage:2, alive, 570 days 2145.0
DO45269 59 years, male, NA, stage:3, alive, 750 days 2137.5
DO50832 73 years, male, NA, stage:3, alive, 90 days 2127.1
DO50809 56 years, male, NA, stage:3, dead, 720 days 2119.0
DO48730 73 years, female, NA, stage:2, alive, 630 days 2107.2
DO45247 31 years, female, NA, stage:2, alive, 210 days 2099.0
DO45273 62 years, male, NA, stage:2, alive, 480 days 2097.2
DO23516 69 years, male, NA, stage:3, dead, 20 days 2083.5
DO45193 68 years, female, NA, stage:4, dead, 120 days 2073.0
DO50799 66 years, female, NA, stage:2, alive, 540 days 2020.0
DO45287 74 years, male, NA, stage:1, alive, 390 days 2013.5
DO50791 79 years, female, NA, stage:1, dead, 480 days 1978.9
DO45191 61 years, female, NA, stage:2, alive, 1200 days 1963.5
DO23508 79 years, female, NA, stage:2, alive, 390 days 1957.3
DO45279 67 years, male, NA, stage:3, alive, 1290 days 1933.0
DO45265 73 years, male, NA, stage:3, alive, 1020 days 1931.1
DO45189 85 years, female, NA, stage:2, alive, 1200 days 1909.2
DO45239 42 years, male, NA, stage:2, alive, 870 days 1896.9
DO45119 74 years, male, NA, stage:3, dead, 510 days 1844.6
DO23525 71 years, male, NA, stage:4, alive, 1050 days 1832.4
DO50806 70 years, male, NA, stage:4, alive, 540 days 1816.3
DO50859 77 years, male, NA, stage:2, alive, 180 days 1809.0
DO50778 60 years, male, NA, stage:4, alive, 630 days 1783.7
DO50814 83 years, male, NA, stage:3, alive, 420 days 1781.8
DO45161 74 years, male, NA, stage:2, dead, 540 days 1776.8
DO45185 89 years, male, NA, stage:2, alive, 600 days 1770.7
DO45205 67 years, female, NA, stage:2, dead, 90 days 1753.8
DO45187 32 years, female, NA, stage:1, alive, 1260 days 1736.9
DO45289 78 years, female, NA, stage:3, alive, 360 days 1721.0
DO50802 49 years, male, NA, stage:2, alive, 930 days 1696.1
DO45221 75 years, female, NA, stage:4, dead, 390 days 1681.6
DO23526 66 years, male, NA, stage:3, alive, 1050 days 1676.9
DO45275 65 years, male, NA, stage:3, dead, 10 days 1675.3
DO45211 76 years, male, NA, stage:3, alive, 240 days 1674.5
DO45257 46 years, male, NA, stage:3, alive, 810 days 1656.1
DO45179 78 years, female, NA, stage:2, alive, 600 days 1654.6
DO23546 63 years, male, NA, stage:2, alive, 1050 days 1654.5
DO23537 79 years, male, NA, stage:2, dead, 900 days 1630.4
DO48706 72 years, male, NA, stage:2, alive, 870 days 1622.3
DO45231 84 years, male, NA, stage:2, alive, 930 days 1621.9
DO45145 78 years, male, NA, stage:3, dead, 60 days 1619.8
DO48697 64 years, female, NA, stage:2, dead, 810 days 1603.4
DO50844 75 years, male, NA, stage:4, alive, 300 days 1587.3
DO48751 68 years, male, NA, stage:2, dead, 480 days 1561.8
DO45183 72 years, female, NA, stage:2, dead, 570 days 1550.7
DO45203 71 years, female, NA, stage:2, alive, 1170 days 1548.0
DO45253 50 years, male, NA, stage:2, alive, 870 days 1537.7
DO45301 56 years, male, NA, stage:2, dead, 1440 days 1536.5
DO45277 64 years, male, NA, stage:3, alive, 600 days 1531.0
DO45103 47 years, male, NA, stage:3, alive, 450 days 1523.1
DO45135 77 years, male, NA, stage:1, alive, 1410 days 1517.9
DO45297 61 years, female, NA, stage:4, dead, 1260 days 1515.2
DO50793 76 years, male, NA, stage:4, alive, 540 days 1513.9
DO23542 66 years, male, NA, stage:3, alive, 960 days 1512.3
DO45165 75 years, male, NA, stage:2, alive, 690 days 1502.8
DO48736 76 years, female, NA, stage:1, alive, 600 days 1494.1
DO23511 83 years, female, NA, stage:3, dead, 180 days 1492.5
DO23533 61 years, male, NA, stage:2, alive, 900 days 1474.3
DO48723 73 years, male, NA, stage:1, alive, 600 days 1462.3
DO45092 62 years, male, NA, stage:4, dead, 1200 days 1459.0
DO50829 78 years, male, NA, stage:3, alive, 570 days 1458.6
DO48732 73 years, male, NA, stage:3, alive, 630 days 1445.6
DO45281 83 years, male, NA, stage:4, alive, 750 days 1424.9
DO45097 69 years, male, NA, stage:3, alive, 1620 days 1416.8
DO48672 81 years, male, NA, stage:2, alive, 450 days 1403.0
DO45095 66 years, male, NA, stage:2, alive, 1620 days 1393.0
DO23547 74 years, male, NA, stage:1, alive, 1020 days 1386.5
DO45283 60 years, male, NA, stage:3, alive, 510 days 1383.2
DO48757 68 years, female, NA, stage:3, alive, 480 days 1380.7
DO45175 74 years, male, NA, stage:2, alive, 1140 days 1377.9
DO45299 70 years, female, NA, stage:1, alive, 1440 days 1375.7
DO48728 74 years, female, NA, stage:2, alive, 150 days 1374.2
DO23523 52 years, male, NA, stage:3, alive, 1080 days 1373.4
DO45157 62 years, male, NA, stage:2, alive, 1980 days 1372.9
DO23528 45 years, female, NA, stage:2, alive, 1020 days 1366.6
DO23521 63 years, male, NA, stage:3, alive, 1110 days 1356.3
DO23549 74 years, male, NA, stage:3, alive, 990 days 1341.7
DO45139 63 years, male, NA, stage:3, alive, 1320 days 1338.9
DO48704 68 years, female, NA, stage:3, alive, 750 days 1275.3
DO50811 62 years, male, NA, stage:1, alive, 450 days 1266.9
DO45219 78 years, male, NA, stage:2, alive, 1080 days 1258.0
DO50822 66 years, male, NA, stage:2, alive, 510 days 1257.9
DO48681 57 years, male, NA, stage:2, alive, 900 days 1256.5
DO45131 53 years, male, NA, stage:4, dead, 360 days 1242.8
DO50820 77 years, female, NA, stage:3, alive, 510 days 1238.1
DO45241 49 years, male, NA, stage:1, alive, 1080 days 1232.9
DO45237 58 years, male, NA, stage:2, alive, 900 days 1193.7
DO48727 81 years, female, NA, stage:2, dead, 390 days 1183.8
DO50825 70 years, male, NA, stage:2, alive, 390 days 1179.9
DO50805 72 years, male, NA, stage:2, alive, 690 days 1177.3
DO23543 63 years, male, NA, stage:2, alive, 1020 days 1164.4
DO48733 72 years, male, NA, stage:2, alive, 600 days 1160.9
DO45177 81 years, female, NA, stage:3, alive, 1260 days 1149.3
DO48717 54 years, male, NA, stage:4, dead, 180 days 1142.6
DO45267 73 years, male, NA, stage:3, dead, 570 days 1137.0
DO45143 69 years, male, NA, stage:3, alive, 1290 days 1136.7
DO23514 64 years, male, NA, stage:2, alive, 1290 days 1131.5
DO45141 73 years, male, NA, stage:2, alive, 1320 days 1130.1
DO48725 66 years, male, NA, stage:1, alive, 780 days 1124.3
DO45201 49 years, male, NA, stage:1, alive, 900 days 1120.9
DO45243 74 years, female, NA, stage:3, alive, 930 days 1119.8
DO50816 63 years, male, NA, stage:2, alive, 390 days 1110.5
DO45149 70 years, female, NA, stage:2, alive, 1260 days 1094.6
DO23513 76 years, male, NA, stage:3, alive, 1200 days 1093.2
DO48719 80 years, male, NA, stage:2, alive, 690 days 1089.4
DO45227 57 years, female, NA, stage:2, alive, 1020 days 1084.7
DO50850 74 years, male, NA, stage:3, alive, 720 days 1083.1
DO23510 80 years, female, NA, stage:2, alive, 870 days 1081.8
DO23548 78 years, female, NA, stage:1, alive, 840 days 1080.8
DO45223 67 years, male, NA, stage:4, alive, 1020 days 1077.8
DO50800 74 years, male, NA, stage:2, alive, 510 days 1075.5
DO45199 86 years, female, NA, stage:2, alive, 1350 days 1075.5
DO48712 50 years, male, NA, stage:2, alive, 810 days 1073.2
DO45113 58 years, male, NA, stage:3, alive, 1560 days 1071.4
DO50813 56 years, male, NA, stage:2, alive, 420 days 1059.4
DO45225 69 years, male, NA, stage:1, alive, 1050 days 1050.1
DO48759 73 years, male, NA, stage:3, alive, 720 days 1038.3
DO45235 68 years, female, NA, stage:1, alive, 900 days 1019.1
DO50857 72 years, male, NA, stage:2, alive, 210 days 1015.9
DO23540 73 years, male, NA, stage:1, alive, 750 days 1010.3
DO45169 74 years, male, NA, stage:3, alive, 1350 days 1009.6
DO45117 73 years, female, NA, stage:2, dead, 1110 days 992.7
DO48700 78 years, female, NA, stage:2, alive, 810 days 992.0
DO48715 58 years, female, NA, stage:2, dead, 690 days 990.3
DO45109 63 years, male, NA, stage:2, alive, 1590 days 988.3
DO45091 56 years, male, NA, stage:2, dead, 1320 days 981.9
DO48693 71 years, male, NA, stage:2, alive, 900 days 981.8
DO45163 76 years, male, NA, stage:2, alive, 960 days 978.0
DO48677 58 years, male, NA, stage:3, alive, 1140 days 972.4
DO50840 49 years, male, NA, stage:2, alive, 330 days 968.1
DO48742 76 years, male, NA, stage:2, alive, 600 days 967.8
DO50819 72 years, female, NA, stage:2, alive, 510 days 965.3
DO48741 64 years, male, NA, stage:3, alive, 240 days 958.5
DO45153 77 years, female, NA, stage:2, alive, 1380 days 957.0
DO23539 77 years, male, NA, stage:1, alive, 1110 days 952.8
DO50783 62 years, male, NA, stage:3, alive, 480 days 942.8
DO45207 68 years, male, NA, stage:1, alive, 1050 days 932.4
DO45261 74 years, male, NA, stage:3, alive, 990 days 929.6
DO48761 55 years, male, NA, stage:2, alive, 870 days 924.8
DO50817 75 years, male, NA, stage:2, alive, 390 days 922.6
DO50839 47 years, female, NA, stage:3, alive, 330 days 920.1
DO45233 83 years, male, NA, stage:3, alive, 900 days 918.6
DO45123 78 years, female, NA, stage:2, dead, 570 days 915.2
DO45121 61 years, male, NA, stage:3, alive, 1530 days 912.6
DO50804 81 years, male, NA, stage:2, alive, 720 days 910.6
DO23524 71 years, female, NA, stage:2, alive, 1050 days 899.2
DO50776 75 years, male, NA, stage:1, alive, 690 days 897.8
DO227643 79 years, male, NA, stage:2, alive, 1260 days 896.3
DO50845 72 years, male, NA, stage:3, alive, 210 days 892.9
DO48695 77 years, male, NA, stage:2, alive, 720 days 892.6
DO45159 65 years, male, NA, stage:3, alive, 1470 days 890.3
DO23534 60 years, male, NA, stage:2, alive, 840 days 873.7
DO23529 72 years, male, NA, stage:4, alive, 930 days 872.3
DO45099 46 years, male, NA, stage:3, alive, 1590 days 872.1
DO23536 56 years, male, NA, stage:2, alive, 930 days 866.8
DO45263 67 years, male, NA, stage:3, dead, 270 days 851.0
DO50774 68 years, female, NA, stage:2, alive, 720 days 836.7
DO23538 67 years, male, NA, stage:2, alive, 450 days 832.6
DO50798 77 years, male, NA, stage:3, dead, 30 days 829.4
DO45255 81 years, male, NA, stage:3, alive, 720 days 828.4
DO48746 76 years, male, NA, stage:3, alive, 570 days 827.7
DO50807 67 years, male, NA, stage:1, alive, 540 days 817.5
DO50818 65 years, male, NA, stage:2, alive, 510 days 804.5
DO23541 65 years, male, NA, stage:2, alive, 930 days 800.3
DO227801 77 years, female, NA, stage:1, alive, 660 days 797.8
DO45229 74 years, male, NA, stage:1, alive, 990 days 791.2
DO45181 84 years, female, NA, stage:2, alive, 1200 days 790.1
DO48716 71 years, male, NA, stage:2, alive, 720 days 783.7
DO45171 56 years, male, NA, stage:3, alive, 600 days 775.9
DO23535 67 years, male, NA, stage:1, alive, 960 days 770.9
DO48743 69 years, female, NA, stage:2, alive, 570 days 759.6
DO45125 58 years, male, NA, stage:3, alive, 1680 days 755.5
DO50787 63 years, male, NA, stage:3, alive, 480 days 751.8
DO48679 72 years, male, NA, stage:2, alive, 1200 days 751.8
DO23552 80 years, female, NA, stage:1, alive, 810 days 740.3
DO48701 78 years, male, NA, stage:2, alive, 780 days 733.8
DO45096 69 years, male, NA, stage:2, dead, 1290 days 733.2
DO23544 67 years, male, NA, stage:2, alive, 960 days 733.1
DO23527 72 years, male, NA, stage:1, alive, 1050 days 717.1
DO45133 64 years, male, NA, stage:3, dead, 660 days 713.0
DO23509 60 years, male, NA, stage:3, dead, 780 days 711.9
DO45105 61 years, male, NA, stage:1, alive, 1680 days 699.8
DO48674 80 years, male, NA, stage:2, alive, 1260 days 678.0
DO23518 67 years, male, NA, stage:2, alive, 1320 days 653.8
DO50808 68 years, male, NA, stage:2, alive, 570 days 649.7
DO45101 63 years, male, NA, stage:2, alive, 1680 days 645.2
DO45155 69 years, male, NA, stage:2, alive, 2160 days 641.1
DO23512 60 years, male, NA, stage:1, alive, 1260 days 638.8
DO45094 76 years, male, NA, stage:3, alive, 1650 days 636.7
DO45137 38 years, male, NA, stage:1, alive, 1320 days 625.7
DO23517 62 years, male, NA, stage:2, alive, 1200 days 615.2
DO45115 81 years, male, NA, stage:2, alive, 840 days 614.0
DO50803 62 years, female, NA, stage:1, alive, 540 days 609.4
DO45215 65 years, male, NA, stage:2, alive, 1170 days 606.7
DO48760 70 years, female, NA, stage:2, alive, 690 days 599.5
DO23550 69 years, male, NA, stage:1, alive, 990 days 591.9
DO23531 78 years, female, NA, stage:3, alive, 900 days 569.6
DO23551 73 years, male, NA, stage:3, dead, 150 days 564.3
DO45197 51 years, male, NA, stage:2, alive, 1170 days 558.3
DO48721 58 years, female, NA, stage:1, alive, 900 days 550.3
DO45195 62 years, male, NA, stage:1, alive, 390 days 514.1
DO23532 71 years, female, NA, stage:1, alive, 960 days 503.9
DO45245 75 years, female, NA, stage:2, dead, 240 days 403.5
DO50789 73 years, female, NA, stage:2, alive, 570 days 402.9
DO45111 74 years, male, NA, stage:2, alive, 1590 days 365.9
DO45129 61 years, male, NA, stage:3, alive, 1470 days 362.5
DO45167 67 years, male, NA, stage:2, dead, 1440 days 322.0
DO45107 63 years, female, NA, stage:2, alive, 1710 days 222.7
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LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples 330
Samples
Sample ID Sample type nRPX
557 Tumor 0.7
685 Tumor 0.6
537 Tumor 0.5
965 Tumor 0.5
1021 Tumor 0.5
327 Tumor 0.5
851 Tumor 0.4
285 Tumor 0.4
223 Tumor 0.4
937 Tumor 0.4
983 Tumor 0.4
353 Tumor 0.4
957 Tumor 0.4
332 Normal 0.4
815 Tumor 0.4
535 Tumor 0.4
978 Normal 0.3
395 Tumor 0.3
951 Tumor 0.3
545 Tumor 0.3
135 Tumor 0.3
636 Normal 0.3
1014 Normal 0.3
1044 Normal 0.3
523 Tumor 0.3
567 Tumor 0.3
743 Tumor 0.3
227 Tumor 0.3
367 Tumor 0.3
267 Tumor 0.3
113 Tumor 0.3
1043 Tumor 0.3
331 Tumor 0.3
912 Normal 0.3
467 Tumor 0.3
528 Normal 0.3
443 Tumor 0.3
923 Tumor 0.3
393 Tumor 0.3
824 Normal 0.3
852 Normal 0.3
984 Normal 0.3
514 Normal 0.3
131 Tumor 0.3
481 Tumor 0.3
517 Tumor 0.3
314 Normal 0.3
865 Tumor 0.3
536 Normal 0.3
212 Normal 0.3
958 Normal 0.3
413 Tumor 0.3
745 Tumor 0.2
922 Normal 0.2
724 Normal 0.2
967 Tumor 0.2
218 Normal 0.2
981 Tumor 0.2
818 Normal 0.2
497 Tumor 0.2
777 Tumor 0.2
222 Normal 0.2
756 Normal 0.2
884 Normal 0.2
1026 Normal 0.2
1031 Tumor 0.2
1027 Tumor 0.2
214 Normal 0.2
286 Normal 0.2
864 Normal 0.2
436 Normal 0.2
966 Normal 0.2
955 Tumor 0.2
534 Normal 0.2
573 Tumor 0.2
356 Normal 0.2
387 Tumor 0.2
195 Tumor 0.2
916 Normal 0.2
546 Normal 0.2
778 Normal 0.2
432 Normal 0.2
953 Tumor 0.2
494 Normal 0.2
661 Tumor 0.2
817 Tumor 0.2
191 Tumor 0.2
524 Normal 0.2
746 Normal 0.2
572 Normal 0.2
924 Normal 0.2
526 Normal 0.2
982 Normal 0.2
213 Tumor 0.2
448 Normal 0.2
376 Normal 0.2
298 Normal 0.2
558 Normal 0.2
938 Normal 0.2
385 Tumor 0.2
284 Normal 0.2
921 Tumor 0.2
918 Normal 0.2
786 Normal 0.2
968 Normal 0.2
232 Normal 0.2
312 Normal 0.2
696 Normal 0.2
351 Tumor 0.2
525 Tumor 0.2
755 Tumor 0.2
697 Tumor 0.2
515 Tumor 0.2
866 Normal 0.2
278 Normal 0.2
462 Normal 0.2
513 Tumor 0.2
617 Tumor 0.2
221 Tumor 0.2
411 Tumor 0.2
358 Normal 0.2
926 Normal 0.2
447 Tumor 0.2
518 Normal 0.2
1025 Tumor 0.2
516 Normal 0.2
446 Normal 0.2
427 Tumor 0.2
721 Tumor 0.2
1022 Normal 0.1
433 Tumor 0.1
1016 Normal 0.1
217 Tumor 0.1
554 Normal 0.1
473 Tumor 0.1
1028 Normal 0.1
816 Normal 0.1
858 Normal 0.1
727 Tumor 0.1
628 Normal 0.1
128 Normal 0.1
568 Normal 0.1
136 Normal 0.1
145 Tumor 0.1
114 Normal 0.1
944 Normal 0.1
862 Normal 0.1
715 Tumor 0.1
471 Tumor 0.1
882 Normal 0.1
533 Tumor 0.1
352 Normal 0.1
1032 Normal 0.1
421 Tumor 0.1
728 Normal 0.1
913 Tumor 0.1
261 Tumor 0.1
414 Normal 0.1
785 Tumor 0.1
392 Normal 0.1
493 Tumor 0.1
857 Tumor 0.1
257 Tumor 0.1
412 Normal 0.1
714 Normal 0.1
466 Normal 0.1
488 Normal 0.1
564 Normal 0.1
262 Normal 0.1
1015 Tumor 0.1
426 Normal 0.1
738 Normal 0.1
484 Normal 0.1
258 Normal 0.1
737 Tumor 0.1
952 Normal 0.1
538 Normal 0.1
873 Tumor 0.1
635 Tumor 0.1
615 Tumor 0.1
571 Tumor 0.1
915 Tumor 0.1
878 Normal 0.1
648 Normal 0.1
368 Normal 0.1
671 Tumor 0.1
964 Normal 0.1
187 Tumor 0.1
111 Normal 0.1
664 Normal 0.1
474 Normal 0.1
1013 Tumor 0.1
434 Normal 0.1
362 Normal 0.1
172 Normal 0.1
716 Normal 0.1
196 Normal 0.1
723 Tumor 0.1
344 Normal 0.1
451 Tumor 0.1
662 Normal 0.1
452 Normal 0.1
422 Normal 0.1
384 Normal 0.1
618 Normal 0.1
1046 Normal 0.1
686 Normal 0.1
527 Tumor 0.1
742 Normal 0.1
616 Normal 0.1
672 Normal 0.1
868 Normal 0.1
228 Normal 0.1
132 Normal 0.1
277 Tumor 0.1
861 Tumor 0.1
137 Tumor 0.1
431 Tumor 0.1
435 Tumor 0.1
355 Tumor 0.1
943 Tumor 0.1
722 Normal 0.1
472 Normal 0.1
272 Normal 0.1
464 Normal 0.1
342 Normal 0.1
465 Tumor 0.0
963 Tumor 0.0
1041 Tumor 0.0
925 Tumor 0.0
881 Tumor 0.0
468 Normal 0.0
224 Normal 0.0
477 Tumor 0.0
126 Normal 0.0
483 Tumor 0.0
138 Normal 0.0
482 Normal 0.0
211 Tumor 0.0
1042 Normal 0.0
698 Normal 0.0
642 Normal 0.0
142 Normal 0.0
423 Tumor 0.0
975 Tumor 0.0
124 Normal 0.0
424 Normal 0.0
341 Tumor 0.0
123 Tumor 0.0
354 Normal 0.0
271 Tumor 0.0
461 Tumor 0.0
148 Normal 0.0
186 Normal 0.0
823 Tumor 0.0
574 Normal 0.0
162 Normal 0.0
112 Tumor 0.0
977 Tumor 0.0
231 Tumor 0.0
877 Tumor 0.0
641 Tumor 0.0
375 Tumor 0.0
425 Tumor 0.0
695 Tumor 0.0
147 Tumor 0.0
127 Tumor 0.0
146 Normal 0.0
366 Normal 0.0
444 Normal 0.0
883 Tumor 0.0
492 Normal 0.0
814 Normal 0.0
361 Tumor 0.0
954 Normal 0.0
463 Tumor 0.0
297 Tumor 0.0
445 Tumor 0.0
666 Normal 0.0
665 Tumor 0.0
428 Normal 0.0
956 Normal 0.0
188 Normal 0.0
744 Normal 0.0
813 Tumor 0.0
365 Tumor 0.0
874 Normal 0.0
455 Tumor 0.0
478 Normal 0.0
396 Normal 0.0
394 Normal 0.0
192 Normal 0.0
647 Tumor 0.0
713 Tumor 0.0
416 Normal 0.0
364 Normal -0.1
388 Normal -0.1
867 Tumor -0.1
563 Tumor -0.1
487 Tumor -0.1
553 Tumor -0.1
627 Tumor -0.1
171 Tumor -0.1
268 Normal -0.1
357 Tumor -0.1
663 Tumor -0.1
311 Tumor -0.1
914 Normal -0.1
976 Normal -0.1
141 Tumor -0.1
363 Tumor -0.1
456 Normal -0.1
185 Tumor -0.1
863 Tumor -0.1
313 Tumor -0.1
386 Normal -0.1
391 Tumor -0.1
161 Tumor -0.1
911 Tumor -0.1
415 Tumor -0.1
328 Normal -0.1
917 Tumor -0.1
283 Tumor -0.1
383 Tumor -0.2
125 Tumor -0.2
343 Tumor -0.2
741 Tumor -0.2
498 Normal -0.2
1045 Tumor -0.2
491 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.

 

Antibody stainingi

Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.

Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.


Antibody HPA068418
 Staining
  High
  Medium
  Low
  Not detected
 Intensity
  Strong
  Moderate
  Weak
  Negative
 Quantity
  >75%
  75%-25%
  <25%
  None
 Location
  Nuclear
  Cytoplasmic/membranous
  Cytoplasmic/membranous,nuclear
  None
Carcinoma, Hepatocellular, NOS
Cholangiocarcinoma

Contact

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