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RPS15A
HPA
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  • RPS15A
CANCER LIVER CANCER Show tissue menu
BREAST CANCER CARCINOID CERVICAL CANCER COLORECTAL CANCER ENDOMETRIAL CANCER GLIOMA HEAD AND NECK CANCER LIVER CANCER LUNG CANCER LYMPHOMA
MELANOMA OVARIAN CANCER PANCREATIC CANCER PROSTATE CANCER RENAL CANCER SKIN CANCER STOMACH CANCER TESTIS CANCER THYROID CANCER UROTHELIAL CANCER
LIHC TCGA LIHC VALIDATION PROTEIN LIHC CPTAC PROTEIN EXPRESSION
ANTIBODIES
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VALIDATION
Dictionary
Liver cancer
Human cancer
Liver hepatocellular carcinoma
LIVER HEPATOCELLULAR CARCINOMA (TCGA) - Interactive survival scatter ploti

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

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

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

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

& Survival analysisi

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

RPS15A is not prognostic in Liver Hepatocellular Carcinoma (TCGA)


Stage:


Survival analysis
Current cut offi

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

:
Best expression cut offi

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

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

: 1261.34
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 1244.9
Number of samples 362
Samples
Sample Description pTPM
TCGA-DD-AACG-01A 52 years, male, asian, stage:Stage II, dead, 469 days 5085.1
TCGA-G3-A25T-01A 45 years, female, white, stage:Stage IIIA, alive, 1553 days 3676.1
TCGA-BC-A69H-01A 64 years, male, white, stage:Stage II, alive, 444 days 3395.9
TCGA-DD-AAE4-01A 49 years, female, asian, stage:Stage I, alive, 608 days 3215.3
TCGA-BC-A112-01A 80 years, male, white, stage:'--, dead, 153 days 3180.3
TCGA-UB-A7ME-01A 51 years, male, asian, stage:Stage I, alive, 486 days 3166.9
TCGA-DD-AAED-01A 51 years, male, asian, stage:Stage I, alive, 763 days 3081.1
TCGA-RC-A6M6-01A 75 years, male, white, stage:Stage II, alive, 9 days 3037.0
TCGA-CC-A7II-01A 54 years, male, asian, stage:Stage IIIA, alive, 399 days 2995.3
TCGA-FV-A4ZP-01A 78 years, male, white, stage:Stage IIIA, dead, 2486 days 2928.1
TCGA-G3-A25X-01A 73 years, male, asian, stage:Stage II, alive, 1779 days 2860.6
TCGA-DD-AACO-01A 40 years, male, asian, stage:Stage I, alive, 1876 days 2772.0
TCGA-G3-AAV6-01A 53 years, female, white, stage:Stage IIIA, dead, 65 days 2658.3
TCGA-CC-A123-01A 24 years, female, asian, stage:Stage IIIA, alive, 219 days 2555.3
TCGA-ED-A5KG-01A 60 years, female, asian, stage:Stage II, alive, 854 days 2540.2
TCGA-CC-A8HU-01A 39 years, female, asian, stage:Stage IIIA, dead, 344 days 2526.6
TCGA-DD-AAE0-01A 45 years, female, asian, stage:Stage IIIA, alive, 555 days 2502.2
TCGA-RG-A7D4-01A 69 years, male, black or african american, stage:Stage II, alive, 1098 days 2447.2
TCGA-DD-A39V-01A 77 years, male, white, stage:Stage II, dead, 643 days 2354.5
TCGA-DD-A1EJ-01A 71 years, female, white, stage:Stage IIIC, dead, 1005 days 2352.1
TCGA-5C-A9VG-01A 58 years, male, white, stage:Stage II, alive, 328 days 2315.4
TCGA-DD-AAD5-01A 54 years, male, asian, stage:Stage I, alive, 1345 days 2308.4
TCGA-CC-A7IK-01A 59 years, male, asian, stage:Stage IIIA, dead, 262 days 2301.8
TCGA-DD-AACB-01A 74 years, female, asian, stage:Stage I, alive, 2324 days 2290.4
TCGA-FV-A495-01A 51 years, female, white, stage:Stage II, alive, 1 days 2271.4
TCGA-DD-AAVU-01A 46 years, male, asian, stage:Stage II, alive, 2202 days 2244.3
TCGA-DD-AADI-01A 43 years, female, asian, stage:Stage I, alive, 1085 days 2211.0
TCGA-DD-AACQ-01A 50 years, male, asian, stage:Stage II, dead, 432 days 2177.1
TCGA-ED-A7PZ-01A 61 years, male, asian, stage:Stage II, alive, 6 days 2165.9
TCGA-DD-A3A5-01A 66 years, female, white, stage:Stage III, dead, 3125 days 2160.0
TCGA-CC-A7IG-01A 47 years, male, asian, stage:Stage II, dead, 299 days 2146.1
TCGA-G3-A25U-01A 63 years, female, asian, stage:Stage I, alive, 1636 days 2133.0
TCGA-DD-AADN-01A 59 years, male, asian, stage:Stage I, alive, 898 days 2107.4
TCGA-DD-AACP-01A 64 years, male, asian, stage:Stage I, alive, 415 days 2070.6
TCGA-FV-A3I0-01A 76 years, female, white, stage:Stage II, alive, 848 days 2065.3
TCGA-DD-AADO-01A 55 years, male, asian, stage:Stage I, alive, 453 days 2032.7
TCGA-DD-AACA-01A 65 years, male, asian, stage:Stage I, alive, 2301 days 2025.7
TCGA-2Y-A9GY-01A 64 years, female, white, stage:Stage II, dead, 757 days 2015.1
TCGA-BC-A217-01A 75 years, female, white, stage:Stage II, dead, 1397 days 2007.0
TCGA-DD-AAVQ-01A 38 years, male, asian, stage:Stage I, alive, 2728 days 1996.1
TCGA-DD-A39X-01A 78 years, female, white, stage:Stage I, dead, 1694 days 1980.9
TCGA-CC-A1HT-01A 50 years, male, asian, stage:Stage IIIA, dead, 101 days 1975.3
TCGA-DD-AA3A-01A 81 years, female, white, stage:Stage I, dead, 410 days 1967.7
TCGA-ED-A82E-01A 60 years, female, asian, stage:Stage IIIA, alive, 408 days 1965.1
TCGA-DD-A1EL-01A 23 years, male, black or african american, stage:Stage II, dead, 415 days 1955.4
TCGA-G3-AAUZ-01A 48 years, male, stage:Stage I, alive, 480 days 1946.0
TCGA-DD-AADC-01A 53 years, male, asian, stage:Stage I, dead, 425 days 1942.1
TCGA-G3-A7M9-01A 70 years, male, white, stage:Stage IIIB, dead, 56 days 1941.3
TCGA-G3-A7M6-01A 60 years, female, white, stage:Stage I, alive, 632 days 1922.9
TCGA-BW-A5NO-01A 50 years, male, black or african american, stage:Stage IIIA, alive, 20 days 1917.2
TCGA-XR-A8TE-01A 16 years, male, white, stage:Stage IIIA, alive, 925 days 1899.1
TCGA-ED-A66Y-01A 51 years, female, asian, stage:Stage IIIA, dead, 296 days 1891.1
TCGA-DD-AAC8-01A 72 years, male, asian, stage:Stage I, dead, 16 days 1885.3
TCGA-DD-AADD-01A 51 years, male, asian, stage:Stage I, alive, 1231 days 1877.5
TCGA-CC-A5UD-01A 45 years, male, asian, stage:Stage IIIA, dead, 304 days 1876.0
TCGA-DD-A3A9-01A 64 years, female, white, stage:Stage IVB, dead, 931 days 1852.2
TCGA-DD-AAE6-01A 59 years, female, asian, stage:Stage I, alive, 141 days 1851.9
TCGA-UB-A7MB-01A 24 years, male, white, stage:Stage II, alive, 601 days 1848.8
TCGA-CC-A3MA-01A 61 years, male, asian, stage:Stage IIIA, dead, 303 days 1848.0
TCGA-DD-A73G-01A 73 years, female, white, stage:Stage I, alive, 3478 days 1839.6
TCGA-XR-A8TF-01A 74 years, male, white, stage:Stage I, dead, 693 days 1837.8
TCGA-G3-A25S-01A 64 years, male, white, stage:Stage I, dead, 416 days 1820.2
TCGA-UB-A7MA-01A 62 years, female, white, stage:Stage II, alive, 848 days 1813.7
TCGA-FV-A4ZQ-01A 52 years, male, white, stage:Stage I, alive, 12 days 1803.3
TCGA-CC-A7IE-01A 57 years, male, asian, stage:Stage IIIA, dead, 217 days 1799.3
TCGA-G3-AAV4-01A 83 years, female, white, stage:Stage I, dead, 27 days 1789.2
TCGA-DD-AAE3-01A 50 years, male, asian, stage:Stage I, alive, 566 days 1730.5
TCGA-EP-A2KA-01A 52 years, female, white, stage:Stage IIIA, dead, 627 days 1715.2
TCGA-CC-5260-01A 61 years, female, asian, stage:Stage IIIC, dead, 87 days 1709.0
TCGA-CC-5263-01A 35 years, male, asian, stage:Stage IIIA, dead, 129 days 1663.5
TCGA-DD-AAVP-01A 48 years, male, asian, stage:Stage I, alive, 2752 days 1662.3
TCGA-DD-AACS-01A 39 years, male, asian, stage:Stage I, alive, 1804 days 1660.6
TCGA-2Y-A9H5-01A 59 years, female, white, stage:Stage I, dead, 555 days 1655.5
TCGA-KR-A7K7-01A 61 years, female, white, stage:Stage II, alive, 951 days 1653.9
TCGA-DD-AAVV-01A 56 years, male, asian, stage:Stage II, alive, 2455 days 1649.3
TCGA-DD-AACI-01A 69 years, male, asian, stage:Stage II, alive, 1618 days 1643.9
TCGA-YA-A8S7-01A 68 years, male, white, stage:Stage IIIA, dead, 412 days 1640.8
TCGA-DD-AACJ-01A 75 years, male, asian, stage:Stage II, alive, 2102 days 1594.5
TCGA-DD-AADV-01A 50 years, male, asian, stage:Stage I, alive, 574 days 1592.1
TCGA-ED-A459-01A 47 years, male, asian, stage:Stage II, alive, 910 days 1587.7
TCGA-DD-A73D-01A 68 years, female, white, stage:Stage II, alive, 693 days 1574.2
TCGA-3K-AAZ8-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 396 days 1534.2
TCGA-DD-A1EF-01A 57 years, female, white, stage:Stage I, dead, 394 days 1520.9
TCGA-CC-A5UE-01A 48 years, male, asian, stage:Stage IIIB, dead, 272 days 1519.8
TCGA-DD-AACF-01A 68 years, male, asian, stage:Stage I, dead, 365 days 1517.7
TCGA-BC-A10Q-01A 72 years, female, white, stage:'--, dead, 1135 days 1505.3
TCGA-EP-A2KB-01A 46 years, female, white, stage:Stage I, dead, 596 days 1498.1
TCGA-CC-A8HS-01A 18 years, male, asian, stage:Stage IIIC, dead, 300 days 1488.5
TCGA-2Y-A9H1-01A 58 years, male, white, stage:Stage I, dead, 1229 days 1478.6
TCGA-MI-A75C-01A 64 years, male, white, stage:Stage I, alive, 291 days 1471.3
TCGA-G3-AAV5-01A 67 years, male, white, stage:Stage II, alive, 354 days 1459.4
TCGA-2Y-A9GS-01A 58 years, male, white, stage:'--, dead, 724 days 1454.9
TCGA-CC-A5UC-01A 63 years, male, asian, stage:Stage IIIA, dead, 347 days 1440.7
TCGA-BC-A10T-01A 76 years, male, white, stage:'--, dead, 837 days 1422.0
TCGA-G3-A5SJ-01A 59 years, male, white, stage:Stage I, alive, 698 days 1416.1
TCGA-CC-A7IJ-01A 56 years, male, asian, stage:Stage II, alive, 382 days 1407.7
TCGA-HP-A5N0-01A 90 years, female, stage:'--, dead, 752 days 1400.2
TCGA-BC-A8YO-01A 66 years, female, white, stage:Stage IIIC, alive, 562 days 1400.1
TCGA-CC-A3M9-01A 45 years, male, asian, stage:Stage IIIA, dead, 300 days 1399.4
TCGA-G3-AAV1-01A 51 years, male, asian, stage:Stage IIIC, dead, 359 days 1391.0
TCGA-DD-AACN-01A 32 years, male, asian, stage:Stage I, alive, 1302 days 1390.1
TCGA-CC-A3MB-01A 36 years, male, asian, stage:Stage IIIA, dead, 315 days 1383.8
TCGA-BC-A3KG-01A 68 years, female, white, stage:Stage II, alive, 680 days 1383.1
TCGA-DD-AAD8-01A 73 years, female, asian, stage:Stage I, alive, 1219 days 1373.1
TCGA-PD-A5DF-01A 58 years, female, white, stage:Stage IIIB, dead, 639 days 1365.7
TCGA-QA-A7B7-01A 48 years, male, black or african american, stage:Stage II, alive, 94 days 1353.7
TCGA-DD-A3A7-01A 67 years, male, stage:Stage IIIB, dead, 419 days 1348.6
TCGA-DD-A4NJ-01A 54 years, female, white, stage:Stage II, alive, 928 days 1346.7
TCGA-MI-A75H-01A 77 years, male, white, stage:'--, alive, 747 days 1344.5
TCGA-GJ-A3OU-01A 59 years, male, white, stage:Stage I, alive, 879 days 1343.7
TCGA-BC-A10W-01A 50 years, male, asian, stage:'--, dead, 91 days 1339.2
TCGA-DD-A4NS-01A 61 years, female, white, stage:Stage I, dead, 2456 days 1336.6
TCGA-WX-AA44-01A 64 years, female, white, stage:Stage I, alive, 615 days 1333.6
TCGA-RC-A6M4-01A 74 years, female, white, stage:Stage IIIA, alive, 22 days 1324.5
TCGA-ED-A7XO-01A 29 years, male, asian, stage:Stage IIIA, alive, 427 days 1316.6
TCGA-RC-A7SB-01A 53 years, male, asian, stage:Stage II, alive, 588 days 1312.1
TCGA-DD-AAD1-01A 51 years, female, asian, stage:Stage I, alive, 564 days 1304.0
TCGA-ED-A8O5-01A 59 years, female, asian, stage:Stage IIIA, alive, 406 days 1295.9
TCGA-BC-A10S-01A 81 years, male, white, stage:'--, dead, 1423 days 1290.1
TCGA-DD-A116-01A 68 years, male, asian, stage:Stage IIIA, dead, 1622 days 1287.3
TCGA-DD-A73E-01A 66 years, male, white, stage:Stage I, alive, 44 days 1286.4
TCGA-CC-5261-01A 44 years, male, asian, stage:Stage II, dead, 97 days 1285.5
TCGA-DD-AACZ-01A 63 years, female, asian, stage:Stage I, dead, 171 days 1281.0
TCGA-5R-AA1D-01A 17 years, female, white, stage:Stage IIIA, alive, 449 days 1275.8
TCGA-DD-A4NR-01A 85 years, female, white, stage:Stage I, dead, 9 days 1266.7
TCGA-EP-A2KC-01A 62 years, male, black or african american, stage:Stage I, dead, 19 days 1264.0
TCGA-ZS-A9CF-01A 64 years, male, white, stage:Stage II, alive, 2412 days 1261.4
TCGA-DD-AADM-01A 58 years, male, asian, stage:Stage II, dead, 12 days 1261.3
TCGA-DD-AACK-01A 70 years, male, asian, stage:Stage I, alive, 9 days 1257.1
TCGA-BC-A69I-01A 69 years, male, white, stage:Stage I, alive, 387 days 1256.0
TCGA-DD-AADR-01A 58 years, male, asian, stage:Stage I, alive, 2028 days 1255.6
TCGA-G3-AAV2-01A 50 years, male, white, stage:Stage I, alive, 372 days 1254.0
TCGA-DD-AACY-01A 61 years, male, asian, stage:Stage I, alive, 1450 days 1253.8
TCGA-5C-AAPD-01A 61 years, male, asian, stage:Stage II, alive, 20 days 1251.0
TCGA-UB-A7MC-01A 59 years, male, white, stage:Stage IIIA, alive, 500 days 1245.0
TCGA-CC-A8HV-01A 51 years, female, asian, stage:Stage II, dead, 279 days 1243.0
TCGA-DD-AAEH-01A 73 years, male, asian, stage:Stage I, alive, 784 days 1242.8
TCGA-DD-A39Y-01A 67 years, male, asian, stage:Stage I, dead, 171 days 1235.9
TCGA-EP-A26S-01A 70 years, male, white, stage:Stage I, alive, 608 days 1232.0
TCGA-ED-A97K-01A 54 years, male, asian, stage:Stage IIIA, alive, 6 days 1229.0
TCGA-ED-A7PX-01A 48 years, female, asian, stage:Stage II, alive, 6 days 1226.7
TCGA-K7-AAU7-01A 61 years, male, white, stage:Stage II, alive, 359 days 1224.4
TCGA-KR-A7K8-01A 57 years, male, stage:Stage I, alive, 906 days 1223.7
TCGA-DD-AAEE-01A 55 years, male, asian, stage:Stage I, alive, 810 days 1223.3
TCGA-DD-AAVR-01A 44 years, male, asian, stage:Stage I, alive, 2513 days 1216.8
TCGA-ED-A627-01A 74 years, male, white, stage:Stage I, alive, 423 days 1207.1
TCGA-DD-A3A3-01A 45 years, male, asian, stage:Stage I, dead, 535 days 1197.4
TCGA-DD-AACV-01A 53 years, male, asian, stage:Stage I, alive, 1531 days 1184.9
TCGA-G3-A25Y-01A 52 years, female, asian, stage:Stage I, dead, 452 days 1181.0
TCGA-G3-A5SI-01A 44 years, male, asian, stage:Stage II, dead, 768 days 1176.9
TCGA-EP-A3RK-01A 73 years, male, white, stage:Stage IIIA, alive, 363 days 1174.7
TCGA-DD-AACC-01A 61 years, male, asian, stage:Stage I, dead, 1685 days 1169.3
TCGA-DD-A4NN-01A 56 years, female, white, stage:Stage I, dead, 899 days 1167.1
TCGA-RC-A7S9-01A 47 years, female, asian, stage:Stage I, alive, 640 days 1157.3
TCGA-KR-A7K2-01A 64 years, male, white, stage:Stage I, alive, 829 days 1155.0
TCGA-DD-AAW0-01A 54 years, male, asian, stage:Stage I, alive, 2015 days 1150.6
TCGA-BC-A216-01A 62 years, female, white, stage:Stage IIIA, alive, 1351 days 1150.4
TCGA-DD-AAW2-01A 69 years, male, asian, stage:Stage I, alive, 1855 days 1145.2
TCGA-WX-AA46-01A 61 years, male, white, stage:Stage II, alive, 756 days 1139.7
TCGA-DD-AAW3-01A 69 years, male, asian, stage:Stage I, alive, 1633 days 1132.1
TCGA-G3-A3CJ-01A 52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days 1130.8
TCGA-DD-AADB-01A 51 years, male, asian, stage:Stage I, alive, 1242 days 1129.1
TCGA-MI-A75G-01A 63 years, male, white, stage:Stage II, alive, 698 days 1128.6
TCGA-ZP-A9CZ-01A 72 years, male, asian, stage:'--, alive, 706 days 1128.0
TCGA-WQ-AB4B-01A 62 years, male, white, stage:Stage II, alive, 395 days 1121.9
TCGA-O8-A75V-01A 54 years, male, stage:Stage I, alive, 538 days 1120.4
TCGA-DD-A119-01A 40 years, male, asian, stage:Stage IV, dead, 223 days 1120.3
TCGA-DD-A4NE-01A 75 years, female, white, stage:Stage IIIA, dead, 660 days 1119.4
TCGA-CC-A9FW-01A 68 years, male, asian, stage:Stage IIIA, alive, 248 days 1113.8
TCGA-DD-AACX-01A 66 years, male, asian, stage:Stage II, alive, 170 days 1112.4
TCGA-RC-A6M5-01A 20 years, female, white, stage:Stage IVA, alive, 15 days 1111.1
TCGA-G3-A3CH-01A 53 years, male, asian, stage:Stage IIIA, alive, 780 days 1109.9
TCGA-XR-A8TD-01A 49 years, female, white, stage:Stage IIIB, alive, 1030 days 1107.5
TCGA-DD-AACW-01A 43 years, male, asian, stage:Stage I, alive, 1424 days 1098.4
TCGA-5R-AA1C-01A 57 years, male, white, stage:Stage II, alive, 520 days 1094.5
TCGA-WJ-A86L-01A 68 years, female, white, stage:Stage I, alive, 345 days 1084.8
TCGA-LG-A6GG-01A 79 years, female, white, stage:Stage II, alive, 387 days 1081.8
TCGA-DD-AADA-01A 66 years, female, asian, stage:Stage I, alive, 1233 days 1081.3
TCGA-DD-A3A1-01A 65 years, male, stage:Stage IIIA, dead, 233 days 1076.6
TCGA-BD-A2L6-01A 69 years, male, white, stage:'--, alive, 1363 days 1074.0
TCGA-DD-AADW-01A 48 years, male, asian, stage:Stage I, alive, 587 days 1072.9
TCGA-BC-A10Y-01A 76 years, male, white, stage:'--, dead, 711 days 1072.3
TCGA-MR-A8JO-01A 34 years, male, white, stage:Stage I, alive, 330 days 1071.5
TCGA-2Y-A9H3-01A 45 years, male, white, stage:Stage II, alive, 1516 days 1071.2
TCGA-DD-A1EG-01A 76 years, male, white, stage:Stage I, dead, 1372 days 1070.5
TCGA-ZP-A9D0-01A 67 years, female, black or african american, stage:'--, alive, 1091 days 1068.6
TCGA-DD-AADS-01A 63 years, male, asian, stage:Stage I, alive, 474 days 1066.1
TCGA-UB-AA0U-01A 60 years, male, white, stage:Stage II, alive, 327 days 1065.2
TCGA-DD-AAE2-01A 51 years, male, asian, stage:Stage I, alive, 638 days 1064.0
TCGA-DD-AACH-01A 69 years, male, asian, stage:Stage II, dead, 195 days 1061.8
TCGA-DD-AAVY-01A 56 years, male, asian, stage:Stage IIIA, alive, 1970 days 1056.9
TCGA-UB-A7MF-01A 56 years, male, white, stage:Stage IIIA, dead, 214 days 1055.9
TCGA-DD-AAEI-01A 72 years, male, asian, stage:Stage I, alive, 1531 days 1053.1
TCGA-DD-AACL-01A 66 years, female, asian, stage:Stage I, dead, 107 days 1052.8
TCGA-FV-A496-01A 84 years, female, white, stage:Stage I, alive, 10 days 1051.3
TCGA-BC-A110-01A 51 years, female, black or african american, stage:'--, dead, 2116 days 1046.7
TCGA-DD-AADP-01A 45 years, male, asian, stage:Stage I, alive, 458 days 1045.5
TCGA-CC-5258-01A 48 years, male, asian, stage:Stage II, dead, 129 days 1044.5
TCGA-2Y-A9HA-01A 70 years, male, white, stage:Stage II, dead, 36 days 1043.9
TCGA-5R-AAAM-01A 65 years, female, white, stage:Stage II, dead, 46 days 1040.3
TCGA-RC-A7SK-01A 59 years, male, asian, stage:Stage I, alive, 472 days 1035.0
TCGA-ZP-A9D2-01A 51 years, male, white, stage:'--, dead, 765 days 1034.4
TCGA-ED-A8O6-01A 50 years, female, asian, stage:Stage IIIA, dead, 56 days 1033.9
TCGA-DD-AAEK-01A 51 years, male, asian, stage:Stage II, alive, 1067 days 1033.4
TCGA-ZS-A9CG-01A 55 years, male, white, stage:Stage II, alive, 341 days 1033.1
TCGA-DD-AAD0-01A 73 years, female, asian, stage:Stage I, alive, 137 days 1033.0
TCGA-EP-A3JL-01A 76 years, male, white, stage:Stage I, alive, 303 days 1031.9
TCGA-DD-AAD3-01A 43 years, male, asian, stage:Stage I, alive, 1295 days 1020.5
TCGA-DD-AAVW-01A 35 years, male, asian, stage:Stage I, alive, 2317 days 1019.3
TCGA-NI-A8LF-01A 74 years, male, white, stage:Stage I, alive, 799 days 1017.9
TCGA-G3-A25Z-01A 58 years, male, asian, stage:Stage I, alive, 655 days 1016.2
TCGA-DD-A39W-01A 29 years, female, white, stage:Stage III, dead, 827 days 1013.2
TCGA-MI-A75E-01A 61 years, male, white, stage:Stage IIIC, alive, 507 days 1009.5
TCGA-DD-A4NA-01A 67 years, female, white, stage:Stage IIIC, alive, 1008 days 1003.2
TCGA-FV-A2QQ-01A 80 years, male, white, stage:Stage I, alive, 729 days 1002.8
TCGA-DD-AAVX-01A 38 years, male, asian, stage:Stage II, alive, 1718 days 998.7
TCGA-2Y-A9H2-01A 64 years, female, white, stage:Stage I, alive, 1731 days 988.6
TCGA-XR-A8TG-01A 58 years, male, white, stage:Stage I, alive, 898 days 985.2
TCGA-ED-A66X-01A 35 years, male, asian, stage:Stage IIIA, alive, 406 days 979.9
TCGA-DD-AACT-01A 69 years, female, asian, stage:Stage I, alive, 1562 days 979.6
TCGA-DD-AACU-01A 59 years, male, asian, stage:Stage I, alive, 1567 days 977.5
TCGA-DD-AAD6-01A 66 years, male, asian, stage:Stage IIIA, alive, 672 days 973.8
TCGA-5C-A9VH-01A 70 years, male, white, stage:Stage I, alive, 322 days 969.4
TCGA-RC-A7SH-01A 42 years, male, asian, stage:Stage II, alive, 468 days 966.1
TCGA-2Y-A9HB-01A 66 years, male, stage:Stage I, alive, 260 days 964.5
TCGA-DD-AADQ-01A 59 years, male, asian, stage:Stage II, alive, 436 days 962.0
TCGA-2Y-A9GX-01A 68 years, male, white, stage:Stage I, alive, 2442 days 960.4
TCGA-CC-5264-01A 71 years, male, asian, stage:Stage IIIA, dead, 102 days 952.3
TCGA-G3-A3CK-01A 61 years, male, asian, stage:Stage I, alive, 585 days 952.2
TCGA-ZP-A9D4-01A 64 years, female, white, stage:'--, alive, 395 days 948.9
TCGA-G3-A6UC-01A 65 years, male, white, stage:Stage IIIB, alive, 671 days 946.1
TCGA-CC-A7IL-01A 61 years, male, asian, stage:Stage IIIA, dead, 278 days 938.6
TCGA-DD-AAD2-01A 66 years, male, asian, stage:Stage I, alive, 658 days 937.1
TCGA-ZS-A9CE-01A 79 years, female, white, stage:Stage II, alive, 1241 days 935.7
TCGA-DD-A1EH-01A 23 years, male, white, stage:Stage III, alive, 1495 days 934.3
TCGA-K7-A5RG-01A 66 years, male, black or african american, stage:Stage I, alive, 519 days 933.8
TCGA-UB-AA0V-01A 69 years, female, white, stage:Stage I, alive, 314 days 929.1
TCGA-DD-A114-01A 42 years, male, black or african american, stage:Stage II, dead, 1149 days 917.5
TCGA-2Y-A9GZ-01A 82 years, female, white, stage:Stage II, dead, 848 days 914.8
TCGA-G3-A25V-01A 68 years, male, white, stage:Stage I, alive, 860 days 912.0
TCGA-DD-A1EC-01A 20 years, female, white, stage:Stage I, alive, 602 days 908.0
TCGA-GJ-A9DB-01A 68 years, male, white, stage:Stage I, dead, 67 days 907.6
TCGA-2Y-A9H4-01A 68 years, male, black or african american, stage:Stage I, alive, 1452 days 902.1
TCGA-BC-A10Z-01A 62 years, female, white, stage:Stage I, dead, 34 days 897.0
TCGA-FV-A3I1-01A 81 years, female, white, stage:Stage II, dead, 247 days 889.4
TCGA-DD-A1EI-01A 46 years, male, asian, stage:Stage I, alive, 183 days 889.0
TCGA-EP-A12J-01A 62 years, male, black or african american, stage:Stage I, alive, 570 days 888.7
TCGA-2Y-A9H9-01A 70 years, male, white, stage:Stage I, alive, 697 days 887.0
TCGA-CC-5262-01A 67 years, male, asian, stage:Stage IIIC, dead, 103 days 883.6
TCGA-DD-AADJ-01A 70 years, female, asian, stage:Stage I, alive, 1066 days 880.6
TCGA-ED-A4XI-01A 58 years, male, asian, stage:Stage II, alive, 819 days 879.9
TCGA-BC-A10U-01A 69 years, male, white, stage:'--, dead, 837 days 878.2
TCGA-DD-A3A4-01A 37 years, male, white, stage:Stage IIIA, dead, 612 days 878.1
TCGA-2Y-A9H7-01A 81 years, female, white, stage:Stage I, alive, 1168 days 871.9
TCGA-DD-AACD-01A 48 years, male, asian, stage:Stage I, dead, 381 days 869.8
TCGA-2Y-A9H6-01A 68 years, female, white, stage:Stage I, alive, 357 days 867.1
TCGA-DD-A118-01A 77 years, female, white, stage:Stage II, alive, 3437 days 865.6
TCGA-BC-A10X-01A 52 years, female, white, stage:Stage IIIA, dead, 770 days 865.5
TCGA-DD-AADF-01A 64 years, female, asian, stage:Stage I, dead, 115 days 859.4
TCGA-DD-AADG-01A 70 years, male, asian, stage:Stage IIIA, alive, 1145 days 858.0
TCGA-DD-A113-01A 55 years, female, white, stage:Stage II, alive, 2425 days 857.7
TCGA-DD-A3A8-01A 75 years, male, white, stage:Stage II, dead, 11 days 857.5
TCGA-DD-A4NB-01A 25 years, male, white, stage:Stage I, alive, 989 days 855.5
TCGA-ZS-A9CD-01A 73 years, male, white, stage:Stage II, dead, 1386 days 845.3
TCGA-G3-AAV3-01A 58 years, female, white, stage:Stage II, alive, 412 days 843.0
TCGA-DD-A4NV-01A 61 years, male, white, stage:Stage IIIA, alive, 2398 days 837.9
TCGA-HP-A5MZ-01A 78 years, male, stage:Stage I, dead, 91 days 834.0
TCGA-K7-A6G5-01A 66 years, male, white, stage:Stage I, alive, 512 days 831.8
TCGA-DD-A4NP-01A 32 years, male, white, stage:Stage I, alive, 3308 days 828.9
TCGA-CC-5259-01A 60 years, female, asian, stage:Stage IIIC, alive, 250 days 825.8
TCGA-DD-AACE-01A 62 years, male, asian, stage:Stage I, alive, 2184 days 825.4
TCGA-BD-A3EP-01A 75 years, female, black or african american, stage:Stage I, alive, 409 days 825.0
TCGA-DD-AAW1-01A 55 years, male, asian, stage:Stage IIIA, alive, 1989 days 823.6
TCGA-ES-A2HS-01A 80 years, male, white, stage:Stage I, dead, 688 days 818.8
TCGA-DD-A73A-01A 71 years, male, white, stage:Stage I, alive, 728 days 812.9
TCGA-BC-A3KF-01A 66 years, female, white, stage:Stage I, alive, 8 days 811.8
TCGA-DD-A73C-01A 65 years, female, white, stage:Stage IIIA, alive, 701 days 808.9
TCGA-LG-A9QC-01A 48 years, male, white, stage:Stage I, alive, 425 days 808.9
TCGA-BC-A5W4-01A 69 years, male, white, stage:Stage IIIA, dead, 547 days 807.0
TCGA-CC-A3MC-01A 54 years, male, asian, stage:Stage IIIA, alive, 363 days 801.6
TCGA-G3-A5SL-01A 70 years, male, white, stage:Stage II, alive, 621 days 799.6
TCGA-G3-A7M7-01A 65 years, male, white, stage:Stage I, alive, 361 days 797.3
TCGA-DD-A39Z-01A 43 years, female, stage:Stage II, dead, 601 days 792.5
TCGA-G3-AAV0-01A 58 years, male, asian, stage:Stage I, alive, 476 days 792.4
TCGA-DD-AAEB-01A 60 years, male, asian, stage:Stage I, alive, 478 days 791.1
TCGA-CC-A7IH-01A 58 years, male, asian, stage:Stage IIIA, alive, 365 days 790.0
TCGA-DD-A1EE-01A 73 years, male, white, stage:Stage IIIA, dead, 349 days 785.0
TCGA-KR-A7K0-01A 65 years, male, white, stage:Stage I, dead, 65 days 783.9
TCGA-G3-A5SM-01A 58 years, male, white, stage:Stage II, alive, 520 days 783.5
TCGA-DD-AAVZ-01A 38 years, male, asian, stage:Stage I, alive, 1900 days 781.1
TCGA-DD-AADK-01A 68 years, female, asian, stage:Stage II, alive, 1049 days 778.1
TCGA-DD-AAVS-01A 56 years, male, asian, stage:Stage I, alive, 1823 days 776.4
TCGA-G3-AAV7-01A 38 years, male, asian, stage:Stage II, alive, 361 days 772.2
TCGA-DD-A115-01A 53 years, male, white, stage:Stage IIIA, dead, 2542 days 771.8
TCGA-FV-A23B-01A 70 years, female, white, stage:Stage II, dead, 1852 days 770.2
TCGA-4R-AA8I-01A 66 years, male, white, stage:Stage II, dead, 262 days 768.5
TCGA-NI-A4U2-01A 71 years, male, white, stage:Stage IIIA, dead, 1791 days 766.8
TCGA-FV-A2QR-01A 75 years, male, white, stage:Stage I, dead, 581 days 764.3
TCGA-DD-A11C-01A 69 years, male, white, stage:Stage I, alive, 662 days 763.4
TCGA-DD-AADY-01A 55 years, female, asian, stage:Stage I, alive, 555 days 761.1
TCGA-CC-A7IF-01A 59 years, male, asian, stage:Stage IIIA, dead, 649 days 758.7
TCGA-UB-A7MD-01A 67 years, male, black or african american, stage:Stage I, dead, 52 days 758.7
TCGA-DD-AAC9-01A 51 years, male, asian, stage:Stage I, alive, 347 days 758.3
TCGA-ZP-A9D1-01A 56 years, female, white, stage:'--, alive, 21 days 754.7
TCGA-FV-A3R3-01A 38 years, female, white, stage:Stage I, dead, 366 days 753.9
TCGA-DD-AAE7-01A 72 years, male, asian, stage:Stage I, alive, 644 days 752.8
TCGA-DD-A4NQ-01A 60 years, male, white, stage:Stage II, dead, 373 days 749.1
TCGA-DD-AAEG-01A 59 years, female, asian, stage:Stage I, alive, 719 days 739.2
TCGA-DD-A4NF-01A 72 years, male, white, stage:Stage I, alive, 942 days 733.3
TCGA-BC-A10R-01A 66 years, female, white, stage:'--, dead, 308 days 732.8
TCGA-T1-A6J8-01A 68 years, male, white, stage:'--, alive, 23 days 721.6
TCGA-2Y-A9GV-01A 54 years, female, white, stage:Stage I, dead, 2532 days 721.5
TCGA-G3-A7M5-01A 76 years, male, asian, stage:Stage I, alive, 447 days 719.6
TCGA-DD-AADL-01A 58 years, male, asian, stage:Stage I, alive, 636 days 718.2
TCGA-ED-A7XP-01A 53 years, female, asian, stage:Stage II, alive, 400 days 707.9
TCGA-WQ-A9G7-01A 71 years, female, white, stage:'--, alive, 30 days 703.3
TCGA-XR-A8TC-01A 43 years, female, white, stage:Stage I, alive, 1339 days 697.2
TCGA-RC-A7SF-01A 66 years, male, asian, stage:Stage I, alive, 579 days 690.5
TCGA-ZP-A9CV-01A 59 years, male, white, stage:'--, dead, 1088 days 688.3
TCGA-DD-AAE1-01A 52 years, male, asian, stage:Stage I, alive, 552 days 684.9
TCGA-DD-A1EA-01A 68 years, male, asian, stage:Stage II, alive, 2415 days 684.8
TCGA-DD-A73B-01A 72 years, female, white, stage:Stage I, dead, 283 days 684.4
TCGA-DD-A1EK-01A 64 years, female, white, stage:Stage IVB, dead, 558 days 668.7
TCGA-DD-AAEA-01A 65 years, male, asian, stage:Stage I, alive, 575 days 665.0
TCGA-DD-A73F-01A 77 years, female, white, stage:Stage I, alive, 1085 days 664.3
TCGA-2Y-A9GW-01A 64 years, male, white, stage:Stage I, dead, 1271 days 664.1
TCGA-DD-A4NO-01A 65 years, male, white, stage:Stage I, alive, 2245 days 661.5
TCGA-G3-A7M8-01A 31 years, male, asian, stage:Stage I, alive, 430 days 660.2
TCGA-DD-A4ND-01A 56 years, female, white, stage:Stage I, alive, 2746 days 658.9
TCGA-ZP-A9CY-01A 66 years, female, white, stage:'--, alive, 782 days 651.3
TCGA-DD-A1ED-01A 68 years, male, white, stage:Stage I, alive, 2301 days 645.7
TCGA-DD-A3A2-01A 76 years, female, white, stage:Stage I, dead, 2131 days 642.3
TCGA-2Y-A9H0-01A 49 years, male, white, stage:Stage IIIA, alive, 3675 days 634.1
TCGA-G3-A3CG-01A 80 years, male, white, stage:Stage I, alive, 673 days 631.1
TCGA-DD-A4NI-01A 67 years, male, white, stage:Stage II, alive, 816 days 626.5
TCGA-DD-A4NG-01A 77 years, male, white, stage:Stage IIIA, dead, 802 days 624.1
TCGA-G3-A5SK-01A 58 years, male, white, stage:Stage I, alive, 744 days 619.2
TCGA-DD-AAE9-01A 69 years, male, asian, stage:Stage I, alive, 722 days 615.7
TCGA-DD-A1EB-01A 72 years, female, stage:Stage I, alive, 2017 days 607.5
TCGA-K7-A5RF-01A 64 years, male, white, stage:Stage I, alive, 631 days 606.7
TCGA-2Y-A9H8-01A 85 years, female, white, stage:'--, dead, 633 days 606.5
TCGA-ED-A7PY-01A 20 years, female, asian, stage:Stage II, alive, 390 days 602.9
TCGA-WX-AA47-01A 33 years, female, white, stage:Stage IIIA, dead, 556 days 600.9
TCGA-G3-A3CI-01A 71 years, male, white, stage:Stage I, alive, 180 days 588.3
TCGA-BD-A3ER-01A 62 years, male, white, stage:Stage II, alive, 1115 days 586.5
TCGA-2Y-A9GT-01A 51 years, male, white, stage:Stage I, dead, 1624 days 585.7
TCGA-2Y-A9GU-01A 55 years, female, white, stage:Stage I, alive, 1939 days 581.2
TCGA-DD-AADU-01A 60 years, male, asian, stage:Stage II, alive, 554 days 576.3
TCGA-DD-A4NK-01A 80 years, female, white, stage:Stage IIIA, dead, 1210 days 571.1
TCGA-CC-A8HT-01A 74 years, male, asian, stage:Stage IIIA, dead, 140 days 569.9
TCGA-MR-A520-01A 58 years, male, white, stage:Stage I, alive, 229 days 569.4
TCGA-ES-A2HT-01A 54 years, male, black or african american, stage:Stage I, dead, 438 days 549.8
TCGA-DD-A4NH-01A 65 years, female, white, stage:Stage IIIB, alive, 917 days 547.9
TCGA-MI-A75I-01A 61 years, male, black or african american, stage:'--, alive, 630 days 529.7
TCGA-DD-A11D-01A 57 years, female, white, stage:Stage I, dead, 1560 days 529.3
TCGA-LG-A9QD-01A 68 years, male, white, stage:Stage IIIA, alive, 366 days 510.0
TCGA-DD-A4NL-01A 46 years, male, white, stage:Stage I, alive, 1711 days 487.9
TCGA-FV-A3R2-01A 75 years, male, white, stage:Stage I, dead, 194 days 479.4
TCGA-CC-A9FS-01A 55 years, male, asian, stage:Stage II, alive, 211 days 438.4
TCGA-GJ-A6C0-01A 75 years, female, white, stage:Stage II, dead, 31 days 378.6
TCGA-DD-A3A6-01A 72 years, female, white, stage:Stage II, dead, 3258 days 331.5
TCGA-DD-A11B-01A 73 years, male, white, stage:Stage I, dead, 14 days 300.3
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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.

RPS15A is potential prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (validation)


Stage:
Survival analysis
Current cut offi

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

:
Best expression cut offi

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

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

: 1618.08
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 1658.3
Number of samples 231
Samples
Sample Description pTPM
DO45285 59 years, male, NA, stage:3, alive, 480 days 7465.2
DO45127 73 years, male, NA, stage:3, dead, 420 days 5098.1
DO48747 62 years, male, NA, stage:3, alive, 540 days 5029.5
DO45259 65 years, male, NA, stage:3, alive, 330 days 4271.5
DO45211 76 years, male, NA, stage:3, alive, 240 days 4265.1
DO23530 53 years, male, NA, stage:4, dead, 180 days 4247.3
DO50855 47 years, male, NA, stage:2, alive, 570 days 4086.5
DO45289 78 years, female, NA, stage:3, alive, 360 days 3880.7
DO48737 52 years, male, NA, stage:1, alive, 720 days 3787.1
DO50814 83 years, male, NA, stage:3, alive, 420 days 3757.7
DO45305 66 years, male, NA, stage:4, alive, 300 days 3628.6
DO48682 72 years, female, NA, stage:3, dead, 120 days 3433.0
DO45287 74 years, male, NA, stage:1, alive, 390 days 3314.7
DO45193 68 years, female, NA, stage:4, dead, 120 days 3240.5
DO45269 59 years, male, NA, stage:3, alive, 750 days 3086.4
DO48757 68 years, female, NA, stage:3, alive, 480 days 3059.1
DO23515 71 years, male, NA, stage:2, alive, 1230 days 3057.9
DO45239 42 years, male, NA, stage:2, alive, 870 days 2972.5
DO45307 54 years, female, NA, stage:4, dead, 240 days 2885.8
DO45299 70 years, female, NA, stage:1, alive, 1440 days 2853.1
DO45251 57 years, female, NA, stage:2, alive, 900 days 2753.4
DO23525 71 years, male, NA, stage:4, alive, 1050 days 2734.8
DO45283 60 years, male, NA, stage:3, alive, 510 days 2711.4
DO45303 62 years, female, NA, stage:3, alive, 990 days 2684.4
DO45097 69 years, male, NA, stage:3, alive, 1620 days 2607.0
DO45249 57 years, male, NA, stage:1, alive, 630 days 2594.4
DO45221 75 years, female, NA, stage:4, dead, 390 days 2581.0
DO45279 67 years, male, NA, stage:3, alive, 1290 days 2561.5
DO45297 61 years, female, NA, stage:4, dead, 1260 days 2549.4
DO50844 75 years, male, NA, stage:4, alive, 300 days 2514.0
DO50809 56 years, male, NA, stage:3, dead, 720 days 2413.2
DO23519 65 years, male, NA, stage:3, alive, 630 days 2411.2
DO45161 74 years, male, NA, stage:2, dead, 540 days 2408.1
DO45185 89 years, male, NA, stage:2, alive, 600 days 2401.1
DO48759 73 years, male, NA, stage:3, alive, 720 days 2381.6
DO45179 78 years, female, NA, stage:2, alive, 600 days 2362.7
DO50802 49 years, male, NA, stage:2, alive, 930 days 2318.4
DO45205 67 years, female, NA, stage:2, dead, 90 days 2282.8
DO23511 83 years, female, NA, stage:3, dead, 180 days 2262.2
DO45229 74 years, male, NA, stage:1, alive, 990 days 2258.7
DO48723 73 years, male, NA, stage:1, alive, 600 days 2207.3
DO45189 85 years, female, NA, stage:2, alive, 1200 days 2205.2
DO50793 76 years, male, NA, stage:4, alive, 540 days 2196.8
DO23516 69 years, male, NA, stage:3, dead, 20 days 2169.8
DO50799 66 years, female, NA, stage:2, alive, 540 days 2166.3
DO45145 78 years, male, NA, stage:3, dead, 60 days 2156.7
DO45267 73 years, male, NA, stage:3, dead, 570 days 2123.5
DO45261 74 years, male, NA, stage:3, alive, 990 days 2109.2
DO48727 81 years, female, NA, stage:2, dead, 390 days 2098.3
DO23521 63 years, male, NA, stage:3, alive, 1110 days 2065.8
DO45135 77 years, male, NA, stage:1, alive, 1410 days 2045.8
DO45165 75 years, male, NA, stage:2, alive, 690 days 2039.4
DO45095 66 years, male, NA, stage:2, alive, 1620 days 2037.2
DO50785 37 years, male, NA, stage:4, dead, 90 days 2036.7
DO45141 73 years, male, NA, stage:2, alive, 1320 days 2025.4
DO45277 64 years, male, NA, stage:3, alive, 600 days 2022.9
DO23528 45 years, female, NA, stage:2, alive, 1020 days 2010.7
DO48681 57 years, male, NA, stage:2, alive, 900 days 1986.9
DO45281 83 years, male, NA, stage:4, alive, 750 days 1962.4
DO48712 50 years, male, NA, stage:2, alive, 810 days 1911.9
DO45139 63 years, male, NA, stage:3, alive, 1320 days 1911.4
DO45103 47 years, male, NA, stage:3, alive, 450 days 1909.8
DO48728 74 years, female, NA, stage:2, alive, 150 days 1908.0
DO48751 68 years, male, NA, stage:2, dead, 480 days 1905.9
DO45231 84 years, male, NA, stage:2, alive, 930 days 1898.3
DO50778 60 years, male, NA, stage:4, alive, 630 days 1893.7
DO23526 66 years, male, NA, stage:3, alive, 1050 days 1893.2
DO23523 52 years, male, NA, stage:3, alive, 1080 days 1885.3
DO45273 62 years, male, NA, stage:2, alive, 480 days 1847.8
DO48672 81 years, male, NA, stage:2, alive, 450 days 1835.8
DO45253 50 years, male, NA, stage:2, alive, 870 days 1834.1
DO23543 63 years, male, NA, stage:2, alive, 1020 days 1825.6
DO50806 70 years, male, NA, stage:4, alive, 540 days 1819.7
DO45217 69 years, female, NA, stage:3, dead, 270 days 1783.1
DO45225 69 years, male, NA, stage:1, alive, 1050 days 1752.6
DO50791 79 years, female, NA, stage:1, dead, 480 days 1729.9
DO48733 72 years, male, NA, stage:2, alive, 600 days 1726.7
DO48725 66 years, male, NA, stage:1, alive, 780 days 1726.3
DO48697 64 years, female, NA, stage:2, dead, 810 days 1719.9
DO45301 56 years, male, NA, stage:2, dead, 1440 days 1718.4
DO50800 74 years, male, NA, stage:2, alive, 510 days 1692.1
DO45219 78 years, male, NA, stage:2, alive, 1080 days 1680.7
DO23537 79 years, male, NA, stage:2, dead, 900 days 1657.7
DO50859 77 years, male, NA, stage:2, alive, 180 days 1654.2
DO50825 70 years, male, NA, stage:2, alive, 390 days 1650.1
DO45117 73 years, female, NA, stage:2, dead, 1110 days 1644.9
DO48717 54 years, male, NA, stage:4, dead, 180 days 1640.9
DO45201 49 years, male, NA, stage:1, alive, 900 days 1634.6
DO23545 67 years, male, NA, stage:2, dead, 570 days 1625.3
DO50857 72 years, male, NA, stage:2, alive, 210 days 1622.2
DO48715 58 years, female, NA, stage:2, dead, 690 days 1619.7
DO23542 66 years, male, NA, stage:3, alive, 960 days 1616.4
DO23540 73 years, male, NA, stage:1, alive, 750 days 1607.2
DO45199 86 years, female, NA, stage:2, alive, 1350 days 1596.4
DO45237 58 years, male, NA, stage:2, alive, 900 days 1590.1
DO50805 72 years, male, NA, stage:2, alive, 690 days 1586.5
DO23514 64 years, male, NA, stage:2, alive, 1290 days 1585.3
DO45233 83 years, male, NA, stage:3, alive, 900 days 1567.6
DO45227 57 years, female, NA, stage:2, alive, 1020 days 1565.6
DO48732 73 years, male, NA, stage:3, alive, 630 days 1564.7
DO48746 76 years, male, NA, stage:3, alive, 570 days 1563.8
DO45203 71 years, female, NA, stage:2, alive, 1170 days 1561.8
DO48736 76 years, female, NA, stage:1, alive, 600 days 1550.1
DO45209 70 years, male, NA, stage:4, alive, 1350 days 1543.8
DO50783 62 years, male, NA, stage:3, alive, 480 days 1535.2
DO45223 67 years, male, NA, stage:4, alive, 1020 days 1525.4
DO23536 56 years, male, NA, stage:2, alive, 930 days 1519.9
DO50822 66 years, male, NA, stage:2, alive, 510 days 1512.8
DO45175 74 years, male, NA, stage:2, alive, 1140 days 1505.9
DO50839 47 years, female, NA, stage:3, alive, 330 days 1502.1
DO45119 74 years, male, NA, stage:3, dead, 510 days 1501.7
DO50829 78 years, male, NA, stage:3, alive, 570 days 1494.4
DO48679 72 years, male, NA, stage:2, alive, 1200 days 1489.7
DO48701 78 years, male, NA, stage:2, alive, 780 days 1477.4
DO45181 84 years, female, NA, stage:2, alive, 1200 days 1476.8
DO45243 74 years, female, NA, stage:3, alive, 930 days 1476.2
DO50815 62 years, male, NA, stage:3, alive, 150 days 1470.5
DO50811 62 years, male, NA, stage:1, alive, 450 days 1463.6
DO48720 62 years, female, NA, stage:2, alive, 570 days 1457.0
DO50776 75 years, male, NA, stage:1, alive, 690 days 1454.9
DO23533 61 years, male, NA, stage:2, alive, 900 days 1453.0
DO48677 58 years, male, NA, stage:3, alive, 1140 days 1449.1
DO45157 62 years, male, NA, stage:2, alive, 1980 days 1448.9
DO45153 77 years, female, NA, stage:2, alive, 1380 days 1431.3
DO48695 77 years, male, NA, stage:2, alive, 720 days 1424.7
DO45183 72 years, female, NA, stage:2, dead, 570 days 1416.8
DO45245 75 years, female, NA, stage:2, dead, 240 days 1416.3
DO45177 81 years, female, NA, stage:3, alive, 1260 days 1405.1
DO45207 68 years, male, NA, stage:1, alive, 1050 days 1404.5
DO48730 73 years, female, NA, stage:2, alive, 630 days 1403.1
DO50819 72 years, female, NA, stage:2, alive, 510 days 1394.3
DO45163 76 years, male, NA, stage:2, alive, 960 days 1382.0
DO45265 73 years, male, NA, stage:3, alive, 1020 days 1376.1
DO50804 81 years, male, NA, stage:2, alive, 720 days 1372.2
DO50818 65 years, male, NA, stage:2, alive, 510 days 1356.3
DO50808 68 years, male, NA, stage:2, alive, 570 days 1348.9
DO45109 63 years, male, NA, stage:2, alive, 1590 days 1348.5
DO45115 81 years, male, NA, stage:2, alive, 840 days 1338.8
DO48721 58 years, female, NA, stage:1, alive, 900 days 1338.4
DO48741 64 years, male, NA, stage:3, alive, 240 days 1313.2
DO50807 67 years, male, NA, stage:1, alive, 540 days 1309.8
DO45143 69 years, male, NA, stage:3, alive, 1290 days 1300.4
DO45137 38 years, male, NA, stage:1, alive, 1320 days 1296.9
DO45096 69 years, male, NA, stage:2, dead, 1290 days 1289.3
DO48700 78 years, female, NA, stage:2, alive, 810 days 1256.1
DO50787 63 years, male, NA, stage:3, alive, 480 days 1255.5
DO23513 76 years, male, NA, stage:3, alive, 1200 days 1246.8
DO50840 49 years, male, NA, stage:2, alive, 330 days 1240.8
DO227801 77 years, female, NA, stage:1, alive, 660 days 1239.5
DO23510 80 years, female, NA, stage:2, alive, 870 days 1236.7
DO45247 31 years, female, NA, stage:2, alive, 210 days 1235.9
DO23531 78 years, female, NA, stage:3, alive, 900 days 1229.2
DO45213 58 years, male, NA, stage:1, alive, 1200 days 1223.3
DO23547 74 years, male, NA, stage:1, alive, 1020 days 1223.2
DO45187 32 years, female, NA, stage:1, alive, 1260 days 1215.4
DO50850 74 years, male, NA, stage:3, alive, 720 days 1211.9
DO45155 69 years, male, NA, stage:2, alive, 2160 days 1208.1
DO50798 77 years, male, NA, stage:3, dead, 30 days 1189.2
DO48719 80 years, male, NA, stage:2, alive, 690 days 1186.8
DO23535 67 years, male, NA, stage:1, alive, 960 days 1184.2
DO48706 72 years, male, NA, stage:2, alive, 870 days 1182.1
DO23551 73 years, male, NA, stage:3, dead, 150 days 1181.3
DO23549 74 years, male, NA, stage:3, alive, 990 days 1177.1
DO50813 56 years, male, NA, stage:2, alive, 420 days 1153.4
DO45171 56 years, male, NA, stage:3, alive, 600 days 1148.7
DO45191 61 years, female, NA, stage:2, alive, 1200 days 1145.0
DO50820 77 years, female, NA, stage:3, alive, 510 days 1144.4
DO48704 68 years, female, NA, stage:3, alive, 750 days 1143.9
DO45263 67 years, male, NA, stage:3, dead, 270 days 1141.1
DO23529 72 years, male, NA, stage:4, alive, 930 days 1129.6
DO45257 46 years, male, NA, stage:3, alive, 810 days 1126.5
DO23538 67 years, male, NA, stage:2, alive, 450 days 1122.0
DO23508 79 years, female, NA, stage:2, alive, 390 days 1103.3
DO50817 75 years, male, NA, stage:2, alive, 390 days 1085.1
DO45173 63 years, male, NA, stage:3, alive, 1170 days 1082.7
DO45275 65 years, male, NA, stage:3, dead, 10 days 1082.2
DO48674 80 years, male, NA, stage:2, alive, 1260 days 1076.4
DO45235 68 years, female, NA, stage:1, alive, 900 days 1069.2
DO45255 81 years, male, NA, stage:3, alive, 720 days 1068.7
DO48716 71 years, male, NA, stage:2, alive, 720 days 1061.7
DO48743 69 years, female, NA, stage:2, alive, 570 days 1057.2
DO48761 55 years, male, NA, stage:2, alive, 870 days 1052.9
DO23541 65 years, male, NA, stage:2, alive, 930 days 1051.5
DO45125 58 years, male, NA, stage:3, alive, 1680 days 1050.4
DO45159 65 years, male, NA, stage:3, alive, 1470 days 1046.4
DO23527 72 years, male, NA, stage:1, alive, 1050 days 1023.1
DO45093 71 years, male, NA, stage:2, dead, 720 days 1011.0
DO45131 53 years, male, NA, stage:4, dead, 360 days 996.6
DO48693 71 years, male, NA, stage:2, alive, 900 days 992.3
DO50816 63 years, male, NA, stage:2, alive, 390 days 983.2
DO45092 62 years, male, NA, stage:4, dead, 1200 days 979.5
DO23512 60 years, male, NA, stage:1, alive, 1260 days 978.6
DO50803 62 years, female, NA, stage:1, alive, 540 days 961.2
DO23548 78 years, female, NA, stage:1, alive, 840 days 961.2
DO23539 77 years, male, NA, stage:1, alive, 1110 days 956.2
DO227643 79 years, male, NA, stage:2, alive, 1260 days 919.0
DO48760 70 years, female, NA, stage:2, alive, 690 days 893.4
DO23546 63 years, male, NA, stage:2, alive, 1050 days 868.5
DO23550 69 years, male, NA, stage:1, alive, 990 days 866.1
DO23517 62 years, male, NA, stage:2, alive, 1200 days 853.1
DO45121 61 years, male, NA, stage:3, alive, 1530 days 842.5
DO48742 76 years, male, NA, stage:2, alive, 600 days 841.5
DO45099 46 years, male, NA, stage:3, alive, 1590 days 831.7
DO45094 76 years, male, NA, stage:3, alive, 1650 days 815.9
DO45215 65 years, male, NA, stage:2, alive, 1170 days 813.9
DO23518 67 years, male, NA, stage:2, alive, 1320 days 798.4
DO23524 71 years, female, NA, stage:2, alive, 1050 days 794.3
DO23544 67 years, male, NA, stage:2, alive, 960 days 789.2
DO45169 74 years, male, NA, stage:3, alive, 1350 days 788.9
DO45133 64 years, male, NA, stage:3, dead, 660 days 788.2
DO45195 62 years, male, NA, stage:1, alive, 390 days 781.9
DO45129 61 years, male, NA, stage:3, alive, 1470 days 776.4
DO50774 68 years, female, NA, stage:2, alive, 720 days 764.2
DO45113 58 years, male, NA, stage:3, alive, 1560 days 763.7
DO45091 56 years, male, NA, stage:2, dead, 1320 days 761.6
DO50789 73 years, female, NA, stage:2, alive, 570 days 756.3
DO50832 73 years, male, NA, stage:3, alive, 90 days 734.3
DO45241 49 years, male, NA, stage:1, alive, 1080 days 720.4
DO45111 74 years, male, NA, stage:2, alive, 1590 days 681.1
DO45149 70 years, female, NA, stage:2, alive, 1260 days 676.2
DO23532 71 years, female, NA, stage:1, alive, 960 days 658.4
DO50845 72 years, male, NA, stage:3, alive, 210 days 604.0
DO45123 78 years, female, NA, stage:2, dead, 570 days 588.6
DO23509 60 years, male, NA, stage:3, dead, 780 days 552.7
DO23534 60 years, male, NA, stage:2, alive, 840 days 550.4
DO23552 80 years, female, NA, stage:1, alive, 810 days 540.4
DO45107 63 years, female, NA, stage:2, alive, 1710 days 463.7
DO45197 51 years, male, NA, stage:2, alive, 1170 days 448.7
DO45101 63 years, male, NA, stage:2, alive, 1680 days 305.1
DO45167 67 years, male, NA, stage:2, dead, 1440 days 279.2
DO45105 61 years, male, NA, stage:1, alive, 1680 days 231.0
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LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples 330
Samples
Sample ID Sample type nRPX
331 Tumor 0.4
314 Normal 0.4
467 Tumor 0.4
327 Tumor 0.4
332 Normal 0.3
358 Normal 0.3
353 Tumor 0.3
557 Tumor 0.3
195 Tumor 0.3
481 Tumor 0.3
191 Tumor 0.3
537 Tumor 0.3
223 Tumor 0.3
135 Tumor 0.3
393 Tumor 0.3
131 Tumor 0.3
145 Tumor 0.3
286 Normal 0.3
482 Normal 0.3
136 Normal 0.3
462 Normal 0.3
636 Normal 0.3
113 Tumor 0.3
285 Tumor 0.3
214 Normal 0.2
1021 Tumor 0.2
617 Tumor 0.2
514 Normal 0.2
745 Tumor 0.2
312 Normal 0.2
138 Normal 0.2
162 Normal 0.2
217 Tumor 0.2
132 Normal 0.2
186 Normal 0.2
278 Normal 0.2
567 Tumor 0.2
815 Tumor 0.2
172 Normal 0.2
728 Normal 0.2
414 Normal 0.2
342 Normal 0.2
661 Tumor 0.2
142 Normal 0.2
1027 Tumor 0.2
452 Normal 0.2
352 Normal 0.2
662 Normal 0.2
864 Normal 0.2
148 Normal 0.2
466 Normal 0.2
432 Normal 0.2
568 Normal 0.2
137 Tumor 0.2
912 Normal 0.2
376 Normal 0.2
356 Normal 0.2
387 Tumor 0.2
212 Normal 0.2
284 Normal 0.2
648 Normal 0.2
354 Normal 0.2
564 Normal 0.2
436 Normal 0.2
696 Normal 0.2
344 Normal 0.2
196 Normal 0.2
228 Normal 0.2
778 Normal 0.2
545 Tumor 0.2
777 Tumor 0.2
451 Tumor 0.2
222 Normal 0.2
727 Tumor 0.2
232 Normal 0.2
227 Tumor 0.2
392 Normal 0.2
671 Tumor 0.1
367 Tumor 0.1
1046 Normal 0.1
187 Tumor 0.1
424 Normal 0.1
146 Normal 0.1
672 Normal 0.1
664 Normal 0.1
743 Tumor 0.1
221 Tumor 0.1
446 Normal 0.1
422 Normal 0.1
218 Normal 0.1
448 Normal 0.1
298 Normal 0.1
666 Normal 0.1
497 Tumor 0.1
722 Normal 0.1
851 Tumor 0.1
443 Tumor 0.1
488 Normal 0.1
723 Tumor 0.1
518 Normal 0.1
394 Normal 0.1
1044 Normal 0.1
494 Normal 0.1
472 Normal 0.1
277 Tumor 0.1
983 Tumor 0.1
368 Normal 0.1
524 Normal 0.1
426 Normal 0.1
412 Normal 0.1
464 Normal 0.1
147 Tumor 0.1
213 Tumor 0.1
258 Normal 0.1
413 Tumor 0.1
724 Normal 0.1
922 Normal 0.1
955 Tumor 0.1
964 Normal 0.1
528 Normal 0.1
351 Tumor 0.1
685 Tumor 0.1
558 Normal 0.1
944 Normal 0.1
1026 Normal 0.1
526 Normal 0.1
388 Normal 0.1
628 Normal 0.1
433 Tumor 0.1
384 Normal 0.1
523 Tumor 0.1
362 Normal 0.1
188 Normal 0.1
1042 Normal 0.1
938 Normal 0.1
192 Normal 0.1
474 Normal 0.1
714 Normal 0.1
982 Normal 0.1
738 Normal 0.1
665 Tumor 0.1
954 Normal 0.1
456 Normal 0.1
663 Tumor 0.1
463 Tumor 0.1
395 Tumor 0.1
824 Normal 0.1
224 Normal 0.1
786 Normal 0.1
816 Normal 0.1
926 Normal 0.1
445 Tumor 0.1
698 Normal 0.1
937 Tumor 0.1
956 Normal 0.1
423 Tumor 0.1
435 Tumor 0.1
366 Normal 0.1
114 Normal 0.1
515 Tumor 0.1
328 Normal 0.1
976 Normal 0.1
866 Normal 0.1
262 Normal 0.1
918 Normal 0.1
468 Normal 0.1
756 Normal 0.1
396 Normal 0.1
618 Normal 0.1
517 Tumor 0.1
267 Tumor 0.1
478 Normal 0.1
534 Normal 0.1
268 Normal 0.1
1016 Normal 0.1
364 Normal 0.1
484 Normal 0.1
574 Normal 0.0
431 Tumor 0.0
128 Normal 0.0
882 Normal 0.0
642 Normal 0.0
884 Normal 0.0
554 Normal 0.0
818 Normal 0.0
572 Normal 0.0
465 Tumor 0.0
967 Tumor 0.0
444 Normal 0.0
434 Normal 0.0
914 Normal 0.0
984 Normal 0.0
713 Tumor 0.0
965 Tumor 0.0
112 Tumor 0.0
742 Normal 0.0
385 Tumor 0.0
858 Normal 0.0
455 Tumor 0.0
416 Normal 0.0
421 Tumor 0.0
571 Tumor 0.0
415 Tumor 0.0
428 Normal 0.0
852 Normal 0.0
343 Tumor 0.0
271 Tumor 0.0
862 Normal 0.0
737 Tumor 0.0
744 Normal 0.0
1025 Tumor 0.0
527 Tumor 0.0
141 Tumor 0.0
868 Normal 0.0
647 Tumor 0.0
874 Normal 0.0
257 Tumor 0.0
386 Normal 0.0
124 Normal 0.0
865 Tumor 0.0
111 Normal 0.0
785 Tumor 0.0
411 Tumor 0.0
878 Normal 0.0
365 Tumor 0.0
516 Normal 0.0
171 Tumor 0.0
616 Normal 0.0
391 Tumor 0.0
1014 Normal 0.0
755 Tumor 0.0
686 Normal 0.0
231 Tumor 0.0
447 Tumor 0.0
357 Tumor 0.0
513 Tumor 0.0
978 Normal 0.0
272 Normal 0.0
1028 Normal 0.0
355 Tumor 0.0
966 Normal 0.0
716 Normal 0.0
968 Normal 0.0
361 Tumor 0.0
1015 Tumor 0.0
1022 Normal 0.0
493 Tumor 0.0
913 Tumor 0.0
161 Tumor 0.0
746 Normal 0.0
185 Tumor 0.0
546 Normal 0.0
283 Tumor 0.0
1032 Normal -0.1
873 Tumor -0.1
563 Tumor -0.1
375 Tumor -0.1
952 Normal -0.1
635 Tumor -0.1
211 Tumor -0.1
126 Normal -0.1
615 Tumor -0.1
923 Tumor -0.1
881 Tumor -0.1
877 Tumor -0.1
127 Tumor -0.1
981 Tumor -0.1
1043 Tumor -0.1
573 Tumor -0.1
924 Normal -0.1
917 Tumor -0.1
715 Tumor -0.1
461 Tumor -0.1
297 Tumor -0.1
1031 Tumor -0.1
311 Tumor -0.1
313 Tumor -0.1
817 Tumor -0.1
1045 Tumor -0.1
536 Normal -0.1
487 Tumor -0.1
915 Tumor -0.1
427 Tumor -0.1
363 Tumor -0.1
861 Tumor -0.1
538 Normal -0.1
492 Normal -0.1
721 Tumor -0.1
953 Tumor -0.1
341 Tumor -0.1
975 Tumor -0.1
425 Tumor -0.1
477 Tumor -0.1
863 Tumor -0.1
963 Tumor -0.1
814 Normal -0.1
921 Tumor -0.1
533 Tumor -0.1
916 Normal -0.1
525 Tumor -0.1
473 Tumor -0.1
943 Tumor -0.1
823 Tumor -0.1
498 Normal -0.1
125 Tumor -0.1
261 Tumor -0.1
483 Tumor -0.1
857 Tumor -0.1
957 Tumor -0.1
958 Normal -0.1
695 Tumor -0.1
535 Tumor -0.2
123 Tumor -0.2
697 Tumor -0.2
925 Tumor -0.2
627 Tumor -0.2
813 Tumor -0.2
867 Tumor -0.2
471 Tumor -0.2
977 Tumor -0.2
911 Tumor -0.2
1041 Tumor -0.2
883 Tumor -0.2
641 Tumor -0.2
383 Tumor -0.2
553 Tumor -0.2
741 Tumor -0.3
951 Tumor -0.3
491 Tumor -0.3
1013 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 HPA047103
 Staining
  High
  Medium
  Low
  Not detected
 Intensity
  Strong
  Moderate
  Weak
  Negative
 Quantity
  >75%
  75%-25%
  <25%
  None
 Location
  Nuclear
  Cytoplasmic/membranous
  Cytoplasmic/membranous,nuclear
  None
Cholangiocarcinoma
Carcinoma, Hepatocellular, NOS

Contact

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