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RPL23A
HPA
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  • RPL23A
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.

RPL23A 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.

: 816.39
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 1009.7
Number of samples 362
Samples
Sample Description pTPM
TCGA-FV-A4ZP-01A 78 years, male, white, stage:Stage IIIA, dead, 2486 days 9503.5
TCGA-BC-A69H-01A 64 years, male, white, stage:Stage II, alive, 444 days 5267.5
TCGA-CC-A123-01A 24 years, female, asian, stage:Stage IIIA, alive, 219 days 4425.3
TCGA-DD-AADN-01A 59 years, male, asian, stage:Stage I, alive, 898 days 4076.4
TCGA-DD-AACG-01A 52 years, male, asian, stage:Stage II, dead, 469 days 3525.6
TCGA-G3-AAV6-01A 53 years, female, white, stage:Stage IIIA, dead, 65 days 3430.1
TCGA-CC-A7II-01A 54 years, male, asian, stage:Stage IIIA, alive, 399 days 3376.6
TCGA-DD-AADO-01A 55 years, male, asian, stage:Stage I, alive, 453 days 3147.7
TCGA-DD-AAE0-01A 45 years, female, asian, stage:Stage IIIA, alive, 555 days 3093.7
TCGA-G3-A25X-01A 73 years, male, asian, stage:Stage II, alive, 1779 days 2995.0
TCGA-CC-A3M9-01A 45 years, male, asian, stage:Stage IIIA, dead, 300 days 2690.7
TCGA-BC-A112-01A 80 years, male, white, stage:'--, dead, 153 days 2621.8
TCGA-BC-A217-01A 75 years, female, white, stage:Stage II, dead, 1397 days 2530.7
TCGA-DD-AAVU-01A 46 years, male, asian, stage:Stage II, alive, 2202 days 2505.0
TCGA-DD-AACJ-01A 75 years, male, asian, stage:Stage II, alive, 2102 days 2467.2
TCGA-EP-A2KA-01A 52 years, female, white, stage:Stage IIIA, dead, 627 days 2451.6
TCGA-CC-A7IG-01A 47 years, male, asian, stage:Stage II, dead, 299 days 2447.7
TCGA-DD-AADI-01A 43 years, female, asian, stage:Stage I, alive, 1085 days 2359.4
TCGA-CC-A1HT-01A 50 years, male, asian, stage:Stage IIIA, dead, 101 days 2284.1
TCGA-DD-AACO-01A 40 years, male, asian, stage:Stage I, alive, 1876 days 2260.1
TCGA-DD-AACB-01A 74 years, female, asian, stage:Stage I, alive, 2324 days 2228.2
TCGA-CC-5260-01A 61 years, female, asian, stage:Stage IIIC, dead, 87 days 2157.3
TCGA-DD-A73D-01A 68 years, female, white, stage:Stage II, alive, 693 days 2148.5
TCGA-DD-A39V-01A 77 years, male, white, stage:Stage II, dead, 643 days 2070.9
TCGA-UB-A7MA-01A 62 years, female, white, stage:Stage II, alive, 848 days 2065.1
TCGA-G3-A25T-01A 45 years, female, white, stage:Stage IIIA, alive, 1553 days 2041.0
TCGA-DD-AACP-01A 64 years, male, asian, stage:Stage I, alive, 415 days 2030.6
TCGA-CC-A7IE-01A 57 years, male, asian, stage:Stage IIIA, dead, 217 days 2020.2
TCGA-CC-A8HU-01A 39 years, female, asian, stage:Stage IIIA, dead, 344 days 1966.2
TCGA-FV-A495-01A 51 years, female, white, stage:Stage II, alive, 1 days 1961.5
TCGA-DD-A1EJ-01A 71 years, female, white, stage:Stage IIIC, dead, 1005 days 1925.0
TCGA-G3-AAUZ-01A 48 years, male, stage:Stage I, alive, 480 days 1914.6
TCGA-2Y-A9GY-01A 64 years, female, white, stage:Stage II, dead, 757 days 1905.0
TCGA-ED-A5KG-01A 60 years, female, asian, stage:Stage II, alive, 854 days 1884.7
TCGA-DD-AACA-01A 65 years, male, asian, stage:Stage I, alive, 2301 days 1883.4
TCGA-DD-AADC-01A 53 years, male, asian, stage:Stage I, dead, 425 days 1882.3
TCGA-BW-A5NO-01A 50 years, male, black or african american, stage:Stage IIIA, alive, 20 days 1877.9
TCGA-DD-A3A7-01A 67 years, male, stage:Stage IIIB, dead, 419 days 1870.6
TCGA-EP-A2KB-01A 46 years, female, white, stage:Stage I, dead, 596 days 1860.2
TCGA-DD-AA3A-01A 81 years, female, white, stage:Stage I, dead, 410 days 1839.2
TCGA-BC-A10Q-01A 72 years, female, white, stage:'--, dead, 1135 days 1790.4
TCGA-DD-AAED-01A 51 years, male, asian, stage:Stage I, alive, 763 days 1735.5
TCGA-RG-A7D4-01A 69 years, male, black or african american, stage:Stage II, alive, 1098 days 1718.1
TCGA-XR-A8TF-01A 74 years, male, white, stage:Stage I, dead, 693 days 1695.1
TCGA-DD-A3A9-01A 64 years, female, white, stage:Stage IVB, dead, 931 days 1683.3
TCGA-KR-A7K7-01A 61 years, female, white, stage:Stage II, alive, 951 days 1670.5
TCGA-DD-A39Z-01A 43 years, female, stage:Stage II, dead, 601 days 1605.3
TCGA-CC-5258-01A 48 years, male, asian, stage:Stage II, dead, 129 days 1592.9
TCGA-G3-A7M6-01A 60 years, female, white, stage:Stage I, alive, 632 days 1591.2
TCGA-CC-A5UE-01A 48 years, male, asian, stage:Stage IIIB, dead, 272 days 1585.5
TCGA-CC-A8HV-01A 51 years, female, asian, stage:Stage II, dead, 279 days 1585.3
TCGA-DD-A39X-01A 78 years, female, white, stage:Stage I, dead, 1694 days 1578.3
TCGA-G3-A5SJ-01A 59 years, male, white, stage:Stage I, alive, 698 days 1577.0
TCGA-G3-AAV5-01A 67 years, male, white, stage:Stage II, alive, 354 days 1575.3
TCGA-G3-A25S-01A 64 years, male, white, stage:Stage I, dead, 416 days 1520.4
TCGA-CC-A9FW-01A 68 years, male, asian, stage:Stage IIIA, alive, 248 days 1519.1
TCGA-CC-5263-01A 35 years, male, asian, stage:Stage IIIA, dead, 129 days 1507.4
TCGA-DD-A73G-01A 73 years, female, white, stage:Stage I, alive, 3478 days 1499.0
TCGA-FV-A3I0-01A 76 years, female, white, stage:Stage II, alive, 848 days 1495.2
TCGA-CC-A5UC-01A 63 years, male, asian, stage:Stage IIIA, dead, 347 days 1487.5
TCGA-DD-AAVQ-01A 38 years, male, asian, stage:Stage I, alive, 2728 days 1479.4
TCGA-ED-A8O6-01A 50 years, female, asian, stage:Stage IIIA, dead, 56 days 1479.4
TCGA-DD-AAC8-01A 72 years, male, asian, stage:Stage I, dead, 16 days 1467.2
TCGA-BC-A10T-01A 76 years, male, white, stage:'--, dead, 837 days 1457.4
TCGA-DD-AAE4-01A 49 years, female, asian, stage:Stage I, alive, 608 days 1454.6
TCGA-RC-A6M6-01A 75 years, male, white, stage:Stage II, alive, 9 days 1450.6
TCGA-O8-A75V-01A 54 years, male, stage:Stage I, alive, 538 days 1428.9
TCGA-CC-A3MA-01A 61 years, male, asian, stage:Stage IIIA, dead, 303 days 1422.1
TCGA-CC-5261-01A 44 years, male, asian, stage:Stage II, dead, 97 days 1411.1
TCGA-ED-A8O5-01A 59 years, female, asian, stage:Stage IIIA, alive, 406 days 1385.2
TCGA-DD-AACI-01A 69 years, male, asian, stage:Stage II, alive, 1618 days 1382.0
TCGA-DD-A3A3-01A 45 years, male, asian, stage:Stage I, dead, 535 days 1382.0
TCGA-2Y-A9H1-01A 58 years, male, white, stage:Stage I, dead, 1229 days 1375.7
TCGA-EP-A2KC-01A 62 years, male, black or african american, stage:Stage I, dead, 19 days 1368.6
TCGA-CC-A7IK-01A 59 years, male, asian, stage:Stage IIIA, dead, 262 days 1363.8
TCGA-ED-A7PZ-01A 61 years, male, asian, stage:Stage II, alive, 6 days 1350.3
TCGA-5C-A9VG-01A 58 years, male, white, stage:Stage II, alive, 328 days 1329.8
TCGA-DD-AACL-01A 66 years, female, asian, stage:Stage I, dead, 107 days 1322.0
TCGA-DD-A4NN-01A 56 years, female, white, stage:Stage I, dead, 899 days 1293.0
TCGA-CC-5264-01A 71 years, male, asian, stage:Stage IIIA, dead, 102 days 1282.1
TCGA-DD-AAD5-01A 54 years, male, asian, stage:Stage I, alive, 1345 days 1279.6
TCGA-FV-A4ZQ-01A 52 years, male, white, stage:Stage I, alive, 12 days 1266.4
TCGA-DD-AACZ-01A 63 years, female, asian, stage:Stage I, dead, 171 days 1265.1
TCGA-G3-A7M9-01A 70 years, male, white, stage:Stage IIIB, dead, 56 days 1248.9
TCGA-DD-AACN-01A 32 years, male, asian, stage:Stage I, alive, 1302 days 1245.6
TCGA-DD-AADD-01A 51 years, male, asian, stage:Stage I, alive, 1231 days 1241.7
TCGA-DD-AACU-01A 59 years, male, asian, stage:Stage I, alive, 1567 days 1234.1
TCGA-G3-A25Y-01A 52 years, female, asian, stage:Stage I, dead, 452 days 1233.7
TCGA-DD-A1EL-01A 23 years, male, black or african american, stage:Stage II, dead, 415 days 1227.2
TCGA-2Y-A9H2-01A 64 years, female, white, stage:Stage I, alive, 1731 days 1220.1
TCGA-ED-A66X-01A 35 years, male, asian, stage:Stage IIIA, alive, 406 days 1215.5
TCGA-CC-A5UD-01A 45 years, male, asian, stage:Stage IIIA, dead, 304 days 1205.9
TCGA-DD-A1EH-01A 23 years, male, white, stage:Stage III, alive, 1495 days 1195.0
TCGA-CC-A8HS-01A 18 years, male, asian, stage:Stage IIIC, dead, 300 days 1180.7
TCGA-MI-A75C-01A 64 years, male, white, stage:Stage I, alive, 291 days 1152.6
TCGA-DD-A4NJ-01A 54 years, female, white, stage:Stage II, alive, 928 days 1142.7
TCGA-ES-A2HS-01A 80 years, male, white, stage:Stage I, dead, 688 days 1138.3
TCGA-CC-A7IL-01A 61 years, male, asian, stage:Stage IIIA, dead, 278 days 1131.8
TCGA-DD-AACY-01A 61 years, male, asian, stage:Stage I, alive, 1450 days 1112.6
TCGA-UB-A7MB-01A 24 years, male, white, stage:Stage II, alive, 601 days 1100.7
TCGA-DD-AAEE-01A 55 years, male, asian, stage:Stage I, alive, 810 days 1088.1
TCGA-DD-AADP-01A 45 years, male, asian, stage:Stage I, alive, 458 days 1081.3
TCGA-DD-AACC-01A 61 years, male, asian, stage:Stage I, dead, 1685 days 1076.4
TCGA-DD-A1EI-01A 46 years, male, asian, stage:Stage I, alive, 183 days 1074.9
TCGA-CC-5259-01A 60 years, female, asian, stage:Stage IIIC, alive, 250 days 1066.3
TCGA-FV-A23B-01A 70 years, female, white, stage:Stage II, dead, 1852 days 1059.1
TCGA-CC-5262-01A 67 years, male, asian, stage:Stage IIIC, dead, 103 days 1057.8
TCGA-MI-A75G-01A 63 years, male, white, stage:Stage II, alive, 698 days 1054.5
TCGA-DD-A1EF-01A 57 years, female, white, stage:Stage I, dead, 394 days 1052.3
TCGA-DD-A119-01A 40 years, male, asian, stage:Stage IV, dead, 223 days 1041.8
TCGA-G3-AAV7-01A 38 years, male, asian, stage:Stage II, alive, 361 days 1040.0
TCGA-DD-AACW-01A 43 years, male, asian, stage:Stage I, alive, 1424 days 1031.7
TCGA-G3-AAV4-01A 83 years, female, white, stage:Stage I, dead, 27 days 1026.3
TCGA-DD-AACX-01A 66 years, male, asian, stage:Stage II, alive, 170 days 1018.6
TCGA-G3-A25Z-01A 58 years, male, asian, stage:Stage I, alive, 655 days 1018.0
TCGA-ZP-A9D4-01A 64 years, female, white, stage:'--, alive, 395 days 1014.8
TCGA-2Y-A9GS-01A 58 years, male, white, stage:'--, dead, 724 days 1014.3
TCGA-2Y-A9H3-01A 45 years, male, white, stage:Stage II, alive, 1516 days 996.6
TCGA-CC-A3MB-01A 36 years, male, asian, stage:Stage IIIA, dead, 315 days 988.2
TCGA-K7-AAU7-01A 61 years, male, white, stage:Stage II, alive, 359 days 987.8
TCGA-XR-A8TG-01A 58 years, male, white, stage:Stage I, alive, 898 days 977.5
TCGA-ED-A66Y-01A 51 years, female, asian, stage:Stage IIIA, dead, 296 days 971.9
TCGA-UB-A7ME-01A 51 years, male, asian, stage:Stage I, alive, 486 days 963.5
TCGA-G3-AAV1-01A 51 years, male, asian, stage:Stage IIIC, dead, 359 days 955.1
TCGA-BC-A10Y-01A 76 years, male, white, stage:'--, dead, 711 days 950.8
TCGA-ED-A82E-01A 60 years, female, asian, stage:Stage IIIA, alive, 408 days 947.9
TCGA-XR-A8TE-01A 16 years, male, white, stage:Stage IIIA, alive, 925 days 946.0
TCGA-DD-A73E-01A 66 years, male, white, stage:Stage I, alive, 44 days 934.2
TCGA-DD-AADY-01A 55 years, female, asian, stage:Stage I, alive, 555 days 932.5
TCGA-DD-AAVP-01A 48 years, male, asian, stage:Stage I, alive, 2752 days 931.6
TCGA-DD-AACK-01A 70 years, male, asian, stage:Stage I, alive, 9 days 930.5
TCGA-WQ-A9G7-01A 71 years, female, white, stage:'--, alive, 30 days 929.8
TCGA-DD-AADM-01A 58 years, male, asian, stage:Stage II, dead, 12 days 928.0
TCGA-DD-AADJ-01A 70 years, female, asian, stage:Stage I, alive, 1066 days 925.9
TCGA-DD-A39Y-01A 67 years, male, asian, stage:Stage I, dead, 171 days 925.0
TCGA-DD-A3A1-01A 65 years, male, stage:Stage IIIA, dead, 233 days 909.2
TCGA-DD-AAEI-01A 72 years, male, asian, stage:Stage I, alive, 1531 days 905.2
TCGA-DD-AACS-01A 39 years, male, asian, stage:Stage I, alive, 1804 days 903.0
TCGA-ZP-A9CZ-01A 72 years, male, asian, stage:'--, alive, 706 days 902.4
TCGA-BC-A3KG-01A 68 years, female, white, stage:Stage II, alive, 680 days 901.4
TCGA-BC-A10S-01A 81 years, male, white, stage:'--, dead, 1423 days 900.9
TCGA-MI-A75H-01A 77 years, male, white, stage:'--, alive, 747 days 900.3
TCGA-EP-A26S-01A 70 years, male, white, stage:Stage I, alive, 608 days 900.2
TCGA-DD-AACF-01A 68 years, male, asian, stage:Stage I, dead, 365 days 900.0
TCGA-DD-A114-01A 42 years, male, black or african american, stage:Stage II, dead, 1149 days 894.1
TCGA-ZP-A9D2-01A 51 years, male, white, stage:'--, dead, 765 days 888.9
TCGA-G3-A3CJ-01A 52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days 888.5
TCGA-EP-A3RK-01A 73 years, male, white, stage:Stage IIIA, alive, 363 days 880.3
TCGA-DD-AAD1-01A 51 years, female, asian, stage:Stage I, alive, 564 days 877.0
TCGA-BC-A10W-01A 50 years, male, asian, stage:'--, dead, 91 days 870.6
TCGA-DD-AADF-01A 64 years, female, asian, stage:Stage I, dead, 115 days 862.4
TCGA-DD-A39W-01A 29 years, female, white, stage:Stage III, dead, 827 days 853.4
TCGA-3K-AAZ8-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 396 days 850.0
TCGA-GJ-A3OU-01A 59 years, male, white, stage:Stage I, alive, 879 days 835.5
TCGA-PD-A5DF-01A 58 years, female, white, stage:Stage IIIB, dead, 639 days 834.3
TCGA-DD-AADS-01A 63 years, male, asian, stage:Stage I, alive, 474 days 833.3
TCGA-CC-A7IJ-01A 56 years, male, asian, stage:Stage II, alive, 382 days 827.6
TCGA-DD-A4NS-01A 61 years, female, white, stage:Stage I, dead, 2456 days 823.3
TCGA-DD-A4NR-01A 85 years, female, white, stage:Stage I, dead, 9 days 823.1
TCGA-CC-A7IF-01A 59 years, male, asian, stage:Stage IIIA, dead, 649 days 822.4
TCGA-XR-A8TC-01A 43 years, female, white, stage:Stage I, alive, 1339 days 817.8
TCGA-DD-AACQ-01A 50 years, male, asian, stage:Stage II, dead, 432 days 816.6
TCGA-DD-AAVV-01A 56 years, male, asian, stage:Stage II, alive, 2455 days 816.2
TCGA-DD-AADW-01A 48 years, male, asian, stage:Stage I, alive, 587 days 811.3
TCGA-BD-A3EP-01A 75 years, female, black or african american, stage:Stage I, alive, 409 days 809.9
TCGA-G3-A5SI-01A 44 years, male, asian, stage:Stage II, dead, 768 days 806.7
TCGA-UB-A7MC-01A 59 years, male, white, stage:Stage IIIA, alive, 500 days 801.5
TCGA-DD-AAW3-01A 69 years, male, asian, stage:Stage I, alive, 1633 days 801.2
TCGA-DD-AADR-01A 58 years, male, asian, stage:Stage I, alive, 2028 days 801.1
TCGA-DD-A3A5-01A 66 years, female, white, stage:Stage III, dead, 3125 days 801.1
TCGA-DD-AAE1-01A 52 years, male, asian, stage:Stage I, alive, 552 days 799.2
TCGA-DD-AADV-01A 50 years, male, asian, stage:Stage I, alive, 574 days 796.3
TCGA-DD-AAVS-01A 56 years, male, asian, stage:Stage I, alive, 1823 days 795.7
TCGA-UB-A7MF-01A 56 years, male, white, stage:Stage IIIA, dead, 214 days 793.3
TCGA-CC-A8HT-01A 74 years, male, asian, stage:Stage IIIA, dead, 140 days 791.7
TCGA-G3-A5SL-01A 70 years, male, white, stage:Stage II, alive, 621 days 789.7
TCGA-DD-AADG-01A 70 years, male, asian, stage:Stage IIIA, alive, 1145 days 789.0
TCGA-DD-A116-01A 68 years, male, asian, stage:Stage IIIA, dead, 1622 days 787.8
TCGA-G3-A7M5-01A 76 years, male, asian, stage:Stage I, alive, 447 days 784.3
TCGA-RC-A7SH-01A 42 years, male, asian, stage:Stage II, alive, 468 days 783.4
TCGA-ED-A7PY-01A 20 years, female, asian, stage:Stage II, alive, 390 days 780.9
TCGA-5C-AAPD-01A 61 years, male, asian, stage:Stage II, alive, 20 days 778.9
TCGA-RC-A6M4-01A 74 years, female, white, stage:Stage IIIA, alive, 22 days 778.6
TCGA-XR-A8TD-01A 49 years, female, white, stage:Stage IIIB, alive, 1030 days 776.6
TCGA-DD-AAW2-01A 69 years, male, asian, stage:Stage I, alive, 1855 days 773.6
TCGA-DD-A1EA-01A 68 years, male, asian, stage:Stage II, alive, 2415 days 772.9
TCGA-DD-AADA-01A 66 years, female, asian, stage:Stage I, alive, 1233 days 772.1
TCGA-UB-AA0U-01A 60 years, male, white, stage:Stage II, alive, 327 days 770.0
TCGA-DD-A1EC-01A 20 years, female, white, stage:Stage I, alive, 602 days 768.5
TCGA-BC-A8YO-01A 66 years, female, white, stage:Stage IIIC, alive, 562 days 753.4
TCGA-DD-AAE3-01A 50 years, male, asian, stage:Stage I, alive, 566 days 749.7
TCGA-DD-AACV-01A 53 years, male, asian, stage:Stage I, alive, 1531 days 748.6
TCGA-DD-AAVR-01A 44 years, male, asian, stage:Stage I, alive, 2513 days 743.2
TCGA-5C-A9VH-01A 70 years, male, white, stage:Stage I, alive, 322 days 739.3
TCGA-2Y-A9H0-01A 49 years, male, white, stage:Stage IIIA, alive, 3675 days 738.4
TCGA-YA-A8S7-01A 68 years, male, white, stage:Stage IIIA, dead, 412 days 735.4
TCGA-HP-A5N0-01A 90 years, female, stage:'--, dead, 752 days 733.3
TCGA-DD-AAD3-01A 43 years, male, asian, stage:Stage I, alive, 1295 days 732.0
TCGA-RC-A7S9-01A 47 years, female, asian, stage:Stage I, alive, 640 days 731.9
TCGA-G3-A25V-01A 68 years, male, white, stage:Stage I, alive, 860 days 731.7
TCGA-DD-AAVZ-01A 38 years, male, asian, stage:Stage I, alive, 1900 days 723.3
TCGA-DD-AADQ-01A 59 years, male, asian, stage:Stage II, alive, 436 days 718.6
TCGA-ED-A459-01A 47 years, male, asian, stage:Stage II, alive, 910 days 718.1
TCGA-DD-AAEH-01A 73 years, male, asian, stage:Stage I, alive, 784 days 715.0
TCGA-DD-AADB-01A 51 years, male, asian, stage:Stage I, alive, 1242 days 714.0
TCGA-BC-A216-01A 62 years, female, white, stage:Stage IIIA, alive, 1351 days 712.0
TCGA-DD-A4NE-01A 75 years, female, white, stage:Stage IIIA, dead, 660 days 710.1
TCGA-ZS-A9CF-01A 64 years, male, white, stage:Stage II, alive, 2412 days 709.6
TCGA-DD-AACE-01A 62 years, male, asian, stage:Stage I, alive, 2184 days 709.2
TCGA-FV-A3I1-01A 81 years, female, white, stage:Stage II, dead, 247 days 708.4
TCGA-5R-AAAM-01A 65 years, female, white, stage:Stage II, dead, 46 days 706.8
TCGA-BC-A69I-01A 69 years, male, white, stage:Stage I, alive, 387 days 705.3
TCGA-2Y-A9H7-01A 81 years, female, white, stage:Stage I, alive, 1168 days 702.8
TCGA-DD-AAD6-01A 66 years, male, asian, stage:Stage IIIA, alive, 672 days 700.0
TCGA-ED-A97K-01A 54 years, male, asian, stage:Stage IIIA, alive, 6 days 694.5
TCGA-ED-A627-01A 74 years, male, white, stage:Stage I, alive, 423 days 692.8
TCGA-G3-A7M7-01A 65 years, male, white, stage:Stage I, alive, 361 days 691.9
TCGA-ED-A7PX-01A 48 years, female, asian, stage:Stage II, alive, 6 days 691.1
TCGA-DD-AACD-01A 48 years, male, asian, stage:Stage I, dead, 381 days 687.7
TCGA-MI-A75I-01A 61 years, male, black or african american, stage:'--, alive, 630 days 683.2
TCGA-WQ-AB4B-01A 62 years, male, white, stage:Stage II, alive, 395 days 683.0
TCGA-BD-A2L6-01A 69 years, male, white, stage:'--, alive, 1363 days 682.0
TCGA-2Y-A9H9-01A 70 years, male, white, stage:Stage I, alive, 697 days 676.5
TCGA-BC-A5W4-01A 69 years, male, white, stage:Stage IIIA, dead, 547 days 673.2
TCGA-MI-A75E-01A 61 years, male, white, stage:Stage IIIC, alive, 507 days 668.4
TCGA-KR-A7K2-01A 64 years, male, white, stage:Stage I, alive, 829 days 668.4
TCGA-G3-A3CK-01A 61 years, male, asian, stage:Stage I, alive, 585 days 665.5
TCGA-QA-A7B7-01A 48 years, male, black or african american, stage:Stage II, alive, 94 days 660.6
TCGA-DD-A113-01A 55 years, female, white, stage:Stage II, alive, 2425 days 658.3
TCGA-KR-A7K8-01A 57 years, male, stage:Stage I, alive, 906 days 649.5
TCGA-DD-A4NO-01A 65 years, male, white, stage:Stage I, alive, 2245 days 648.3
TCGA-DD-A11C-01A 69 years, male, white, stage:Stage I, alive, 662 days 647.0
TCGA-DD-A1EG-01A 76 years, male, white, stage:Stage I, dead, 1372 days 645.1
TCGA-BC-A110-01A 51 years, female, black or african american, stage:'--, dead, 2116 days 644.8
TCGA-2Y-A9GX-01A 68 years, male, white, stage:Stage I, alive, 2442 days 643.1
TCGA-EP-A3JL-01A 76 years, male, white, stage:Stage I, alive, 303 days 639.1
TCGA-G3-A25U-01A 63 years, female, asian, stage:Stage I, alive, 1636 days 636.5
TCGA-FV-A2QQ-01A 80 years, male, white, stage:Stage I, alive, 729 days 635.7
TCGA-DD-A4NH-01A 65 years, female, white, stage:Stage IIIB, alive, 917 days 631.0
TCGA-DD-AAEK-01A 51 years, male, asian, stage:Stage II, alive, 1067 days 629.5
TCGA-FV-A3R2-01A 75 years, male, white, stage:Stage I, dead, 194 days 629.2
TCGA-5R-AA1D-01A 17 years, female, white, stage:Stage IIIA, alive, 449 days 628.6
TCGA-DD-A4NP-01A 32 years, male, white, stage:Stage I, alive, 3308 days 628.5
TCGA-DD-AACH-01A 69 years, male, asian, stage:Stage II, dead, 195 days 624.8
TCGA-RC-A7SK-01A 59 years, male, asian, stage:Stage I, alive, 472 days 620.7
TCGA-DD-AAD8-01A 73 years, female, asian, stage:Stage I, alive, 1219 days 619.2
TCGA-ED-A7XO-01A 29 years, male, asian, stage:Stage IIIA, alive, 427 days 618.2
TCGA-DD-A115-01A 53 years, male, white, stage:Stage IIIA, dead, 2542 days 617.2
TCGA-FV-A496-01A 84 years, female, white, stage:Stage I, alive, 10 days 617.0
TCGA-G3-AAV2-01A 50 years, male, white, stage:Stage I, alive, 372 days 615.8
TCGA-DD-AADL-01A 58 years, male, asian, stage:Stage I, alive, 636 days 608.8
TCGA-WX-AA44-01A 64 years, female, white, stage:Stage I, alive, 615 days 607.9
TCGA-G3-A3CH-01A 53 years, male, asian, stage:Stage IIIA, alive, 780 days 606.4
TCGA-DD-A1EE-01A 73 years, male, white, stage:Stage IIIA, dead, 349 days 602.4
TCGA-ZS-A9CD-01A 73 years, male, white, stage:Stage II, dead, 1386 days 598.0
TCGA-DD-AAD2-01A 66 years, male, asian, stage:Stage I, alive, 658 days 591.5
TCGA-G3-A6UC-01A 65 years, male, white, stage:Stage IIIB, alive, 671 days 589.9
TCGA-ZS-A9CG-01A 55 years, male, white, stage:Stage II, alive, 341 days 589.7
TCGA-EP-A12J-01A 62 years, male, black or african american, stage:Stage I, alive, 570 days 587.2
TCGA-ZS-A9CE-01A 79 years, female, white, stage:Stage II, alive, 1241 days 585.2
TCGA-DD-AAVX-01A 38 years, male, asian, stage:Stage II, alive, 1718 days 584.9
TCGA-MR-A8JO-01A 34 years, male, white, stage:Stage I, alive, 330 days 584.8
TCGA-DD-AAE6-01A 59 years, female, asian, stage:Stage I, alive, 141 days 577.6
TCGA-DD-A4NA-01A 67 years, female, white, stage:Stage IIIC, alive, 1008 days 577.4
TCGA-DD-AAVY-01A 56 years, male, asian, stage:Stage IIIA, alive, 1970 days 577.0
TCGA-2Y-A9H5-01A 59 years, female, white, stage:Stage I, dead, 555 days 576.5
TCGA-DD-AAD0-01A 73 years, female, asian, stage:Stage I, alive, 137 days 575.5
TCGA-DD-AAVW-01A 35 years, male, asian, stage:Stage I, alive, 2317 days 571.8
TCGA-BC-A10U-01A 69 years, male, white, stage:'--, dead, 837 days 569.8
TCGA-KR-A7K0-01A 65 years, male, white, stage:Stage I, dead, 65 days 567.0
TCGA-G3-AAV3-01A 58 years, female, white, stage:Stage II, alive, 412 days 564.2
TCGA-DD-AAEB-01A 60 years, male, asian, stage:Stage I, alive, 478 days 564.1
TCGA-FV-A3R3-01A 38 years, female, white, stage:Stage I, dead, 366 days 562.9
TCGA-UB-AA0V-01A 69 years, female, white, stage:Stage I, alive, 314 days 562.1
TCGA-G3-AAV0-01A 58 years, male, asian, stage:Stage I, alive, 476 days 560.7
TCGA-BC-A3KF-01A 66 years, female, white, stage:Stage I, alive, 8 days 554.9
TCGA-DD-A4ND-01A 56 years, female, white, stage:Stage I, alive, 2746 days 554.7
TCGA-DD-AAE2-01A 51 years, male, asian, stage:Stage I, alive, 638 days 548.4
TCGA-DD-A3A4-01A 37 years, male, white, stage:Stage IIIA, dead, 612 days 544.5
TCGA-2Y-A9H4-01A 68 years, male, black or african american, stage:Stage I, alive, 1452 days 544.5
TCGA-BC-A10X-01A 52 years, female, white, stage:Stage IIIA, dead, 770 days 539.3
TCGA-DD-A4NG-01A 77 years, male, white, stage:Stage IIIA, dead, 802 days 537.9
TCGA-GJ-A9DB-01A 68 years, male, white, stage:Stage I, dead, 67 days 537.4
TCGA-NI-A8LF-01A 74 years, male, white, stage:Stage I, alive, 799 days 537.1
TCGA-BC-A10Z-01A 62 years, female, white, stage:Stage I, dead, 34 days 534.8
TCGA-DD-A3A8-01A 75 years, male, white, stage:Stage II, dead, 11 days 530.1
TCGA-DD-A4NQ-01A 60 years, male, white, stage:Stage II, dead, 373 days 529.0
TCGA-RC-A6M5-01A 20 years, female, white, stage:Stage IVA, alive, 15 days 526.6
TCGA-2Y-A9HA-01A 70 years, male, white, stage:Stage II, dead, 36 days 525.0
TCGA-CC-A7IH-01A 58 years, male, asian, stage:Stage IIIA, alive, 365 days 523.7
TCGA-ED-A7XP-01A 53 years, female, asian, stage:Stage II, alive, 400 days 523.4
TCGA-LG-A6GG-01A 79 years, female, white, stage:Stage II, alive, 387 days 520.3
TCGA-ZP-A9D0-01A 67 years, female, black or african american, stage:'--, alive, 1091 days 514.0
TCGA-2Y-A9GW-01A 64 years, male, white, stage:Stage I, dead, 1271 days 510.9
TCGA-FV-A2QR-01A 75 years, male, white, stage:Stage I, dead, 581 days 507.2
TCGA-HP-A5MZ-01A 78 years, male, stage:Stage I, dead, 91 days 503.3
TCGA-CC-A3MC-01A 54 years, male, asian, stage:Stage IIIA, alive, 363 days 498.8
TCGA-4R-AA8I-01A 66 years, male, white, stage:Stage II, dead, 262 days 493.8
TCGA-2Y-A9H6-01A 68 years, female, white, stage:Stage I, alive, 357 days 491.4
TCGA-DD-AAC9-01A 51 years, male, asian, stage:Stage I, alive, 347 days 488.9
TCGA-WJ-A86L-01A 68 years, female, white, stage:Stage I, alive, 345 days 488.2
TCGA-ED-A4XI-01A 58 years, male, asian, stage:Stage II, alive, 819 days 487.3
TCGA-DD-AAEA-01A 65 years, male, asian, stage:Stage I, alive, 575 days 485.0
TCGA-G3-A3CG-01A 80 years, male, white, stage:Stage I, alive, 673 days 484.3
TCGA-DD-AADK-01A 68 years, female, asian, stage:Stage II, alive, 1049 days 483.3
TCGA-K7-A6G5-01A 66 years, male, white, stage:Stage I, alive, 512 days 476.9
TCGA-T1-A6J8-01A 68 years, male, white, stage:'--, alive, 23 days 471.2
TCGA-K7-A5RG-01A 66 years, male, black or african american, stage:Stage I, alive, 519 days 468.9
TCGA-DD-AADU-01A 60 years, male, asian, stage:Stage II, alive, 554 days 465.8
TCGA-WX-AA46-01A 61 years, male, white, stage:Stage II, alive, 756 days 465.0
TCGA-RC-A7SF-01A 66 years, male, asian, stage:Stage I, alive, 579 days 462.3
TCGA-DD-A118-01A 77 years, female, white, stage:Stage II, alive, 3437 days 459.3
TCGA-DD-AAE9-01A 69 years, male, asian, stage:Stage I, alive, 722 days 459.2
TCGA-DD-A11D-01A 57 years, female, white, stage:Stage I, dead, 1560 days 458.4
TCGA-5R-AA1C-01A 57 years, male, white, stage:Stage II, alive, 520 days 455.2
TCGA-DD-AAW0-01A 54 years, male, asian, stage:Stage I, alive, 2015 days 452.6
TCGA-2Y-A9HB-01A 66 years, male, stage:Stage I, alive, 260 days 452.3
TCGA-ZP-A9CV-01A 59 years, male, white, stage:'--, dead, 1088 days 451.7
TCGA-2Y-A9GZ-01A 82 years, female, white, stage:Stage II, dead, 848 days 450.2
TCGA-DD-A4NV-01A 61 years, male, white, stage:Stage IIIA, alive, 2398 days 446.7
TCGA-DD-A4NF-01A 72 years, male, white, stage:Stage I, alive, 942 days 446.5
TCGA-G3-A3CI-01A 71 years, male, white, stage:Stage I, alive, 180 days 446.2
TCGA-ZP-A9CY-01A 66 years, female, white, stage:'--, alive, 782 days 441.6
TCGA-UB-A7MD-01A 67 years, male, black or african american, stage:Stage I, dead, 52 days 439.9
TCGA-DD-AAW1-01A 55 years, male, asian, stage:Stage IIIA, alive, 1989 days 436.8
TCGA-LG-A9QC-01A 48 years, male, white, stage:Stage I, alive, 425 days 435.8
TCGA-CC-A9FS-01A 55 years, male, asian, stage:Stage II, alive, 211 days 430.9
TCGA-RC-A7SB-01A 53 years, male, asian, stage:Stage II, alive, 588 days 430.4
TCGA-G3-A7M8-01A 31 years, male, asian, stage:Stage I, alive, 430 days 428.9
TCGA-DD-AACT-01A 69 years, female, asian, stage:Stage I, alive, 1562 days 427.3
TCGA-DD-A73A-01A 71 years, male, white, stage:Stage I, alive, 728 days 423.6
TCGA-DD-A4NB-01A 25 years, male, white, stage:Stage I, alive, 989 days 419.5
TCGA-2Y-A9GV-01A 54 years, female, white, stage:Stage I, dead, 2532 days 417.4
TCGA-2Y-A9H8-01A 85 years, female, white, stage:'--, dead, 633 days 416.9
TCGA-BD-A3ER-01A 62 years, male, white, stage:Stage II, alive, 1115 days 416.7
TCGA-ZP-A9D1-01A 56 years, female, white, stage:'--, alive, 21 days 416.7
TCGA-DD-A1ED-01A 68 years, male, white, stage:Stage I, alive, 2301 days 414.8
TCGA-DD-A73C-01A 65 years, female, white, stage:Stage IIIA, alive, 701 days 414.1
TCGA-DD-AAEG-01A 59 years, female, asian, stage:Stage I, alive, 719 days 411.2
TCGA-ES-A2HT-01A 54 years, male, black or african american, stage:Stage I, dead, 438 days 409.7
TCGA-DD-A73F-01A 77 years, female, white, stage:Stage I, alive, 1085 days 403.3
TCGA-DD-AAE7-01A 72 years, male, asian, stage:Stage I, alive, 644 days 401.9
TCGA-DD-A3A6-01A 72 years, female, white, stage:Stage II, dead, 3258 days 400.4
TCGA-DD-A1EK-01A 64 years, female, white, stage:Stage IVB, dead, 558 days 394.7
TCGA-LG-A9QD-01A 68 years, male, white, stage:Stage IIIA, alive, 366 days 390.6
TCGA-2Y-A9GT-01A 51 years, male, white, stage:Stage I, dead, 1624 days 385.1
TCGA-DD-A3A2-01A 76 years, female, white, stage:Stage I, dead, 2131 days 381.3
TCGA-NI-A4U2-01A 71 years, male, white, stage:Stage IIIA, dead, 1791 days 377.6
TCGA-DD-A1EB-01A 72 years, female, stage:Stage I, alive, 2017 days 375.0
TCGA-DD-A11B-01A 73 years, male, white, stage:Stage I, dead, 14 days 374.2
TCGA-K7-A5RF-01A 64 years, male, white, stage:Stage I, alive, 631 days 364.0
TCGA-DD-A4NI-01A 67 years, male, white, stage:Stage II, alive, 816 days 360.6
TCGA-WX-AA47-01A 33 years, female, white, stage:Stage IIIA, dead, 556 days 353.6
TCGA-GJ-A6C0-01A 75 years, female, white, stage:Stage II, dead, 31 days 347.4
TCGA-DD-A4NK-01A 80 years, female, white, stage:Stage IIIA, dead, 1210 days 336.3
TCGA-2Y-A9GU-01A 55 years, female, white, stage:Stage I, alive, 1939 days 334.7
TCGA-BC-A10R-01A 66 years, female, white, stage:'--, dead, 308 days 325.0
TCGA-G3-A5SK-01A 58 years, male, white, stage:Stage I, alive, 744 days 320.5
TCGA-MR-A520-01A 58 years, male, white, stage:Stage I, alive, 229 days 318.2
TCGA-DD-A73B-01A 72 years, female, white, stage:Stage I, dead, 283 days 311.2
TCGA-G3-A5SM-01A 58 years, male, white, stage:Stage II, alive, 520 days 305.7
TCGA-DD-A4NL-01A 46 years, male, white, stage:Stage I, alive, 1711 days 291.0
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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.

RPL23A 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.

: 1423.21
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 1081.0
Number of samples 231
Samples
Sample Description pTPM
DO45285 59 years, male, NA, stage:3, alive, 480 days 4057.0
DO50791 79 years, female, NA, stage:1, dead, 480 days 2857.9
DO45093 71 years, male, NA, stage:2, dead, 720 days 2800.3
DO50785 37 years, male, NA, stage:4, dead, 90 days 2768.7
DO23515 71 years, male, NA, stage:2, alive, 1230 days 2735.0
DO45303 62 years, female, NA, stage:3, alive, 990 days 2726.0
DO48741 64 years, male, NA, stage:3, alive, 240 days 2670.8
DO50814 83 years, male, NA, stage:3, alive, 420 days 2645.1
DO50806 70 years, male, NA, stage:4, alive, 540 days 2542.2
DO45269 59 years, male, NA, stage:3, alive, 750 days 2485.5
DO23530 53 years, male, NA, stage:4, dead, 180 days 2463.2
DO50799 66 years, female, NA, stage:2, alive, 540 days 2421.1
DO45289 78 years, female, NA, stage:3, alive, 360 days 2342.9
DO45307 54 years, female, NA, stage:4, dead, 240 days 2315.4
DO45299 70 years, female, NA, stage:1, alive, 1440 days 2295.4
DO45193 68 years, female, NA, stage:4, dead, 120 days 2227.9
DO45127 73 years, male, NA, stage:3, dead, 420 days 2208.8
DO48747 62 years, male, NA, stage:3, alive, 540 days 2179.0
DO23519 65 years, male, NA, stage:3, alive, 630 days 2130.6
DO45189 85 years, female, NA, stage:2, alive, 1200 days 2115.6
DO45259 65 years, male, NA, stage:3, alive, 330 days 2091.8
DO45205 67 years, female, NA, stage:2, dead, 90 days 1949.6
DO45305 66 years, male, NA, stage:4, alive, 300 days 1933.5
DO45279 67 years, male, NA, stage:3, alive, 1290 days 1906.9
DO45287 74 years, male, NA, stage:1, alive, 390 days 1891.0
DO45161 74 years, male, NA, stage:2, dead, 540 days 1822.5
DO45245 75 years, female, NA, stage:2, dead, 240 days 1820.1
DO23545 67 years, male, NA, stage:2, dead, 570 days 1754.6
DO48697 64 years, female, NA, stage:2, dead, 810 days 1728.4
DO45239 42 years, male, NA, stage:2, alive, 870 days 1727.2
DO50778 60 years, male, NA, stage:4, alive, 630 days 1724.7
DO48682 72 years, female, NA, stage:3, dead, 120 days 1708.9
DO45183 72 years, female, NA, stage:2, dead, 570 days 1668.2
DO45251 57 years, female, NA, stage:2, alive, 900 days 1655.3
DO48715 58 years, female, NA, stage:2, dead, 690 days 1647.0
DO45211 76 years, male, NA, stage:3, alive, 240 days 1622.4
DO45283 60 years, male, NA, stage:3, alive, 510 days 1573.0
DO45219 78 years, male, NA, stage:2, alive, 1080 days 1565.6
DO23537 79 years, male, NA, stage:2, dead, 900 days 1556.0
DO45265 73 years, male, NA, stage:3, alive, 1020 days 1549.5
DO48730 73 years, female, NA, stage:2, alive, 630 days 1538.2
DO45231 84 years, male, NA, stage:2, alive, 930 days 1536.8
DO23521 63 years, male, NA, stage:3, alive, 1110 days 1533.3
DO45139 63 years, male, NA, stage:3, alive, 1320 days 1526.8
DO45173 63 years, male, NA, stage:3, alive, 1170 days 1514.2
DO45297 61 years, female, NA, stage:4, dead, 1260 days 1501.2
DO45281 83 years, male, NA, stage:4, alive, 750 days 1479.8
DO48737 52 years, male, NA, stage:1, alive, 720 days 1474.5
DO23525 71 years, male, NA, stage:4, alive, 1050 days 1470.1
DO48757 68 years, female, NA, stage:3, alive, 480 days 1457.6
DO45217 69 years, female, NA, stage:3, dead, 270 days 1430.1
DO45175 74 years, male, NA, stage:2, alive, 1140 days 1429.1
DO23516 69 years, male, NA, stage:3, dead, 20 days 1425.3
DO45249 57 years, male, NA, stage:1, alive, 630 days 1421.1
DO23526 66 years, male, NA, stage:3, alive, 1050 days 1410.1
DO45213 58 years, male, NA, stage:1, alive, 1200 days 1404.2
DO23508 79 years, female, NA, stage:2, alive, 390 days 1386.7
DO48720 62 years, female, NA, stage:2, alive, 570 days 1383.0
DO45097 69 years, male, NA, stage:3, alive, 1620 days 1380.7
DO45221 75 years, female, NA, stage:4, dead, 390 days 1353.8
DO45253 50 years, male, NA, stage:2, alive, 870 days 1332.1
DO45277 64 years, male, NA, stage:3, alive, 600 days 1328.9
DO48736 76 years, female, NA, stage:1, alive, 600 days 1326.6
DO23528 45 years, female, NA, stage:2, alive, 1020 days 1318.4
DO45191 61 years, female, NA, stage:2, alive, 1200 days 1313.7
DO48681 57 years, male, NA, stage:2, alive, 900 days 1313.6
DO50855 47 years, male, NA, stage:2, alive, 570 days 1299.5
DO45187 32 years, female, NA, stage:1, alive, 1260 days 1292.0
DO50820 77 years, female, NA, stage:3, alive, 510 days 1284.0
DO48759 73 years, male, NA, stage:3, alive, 720 days 1275.0
DO45165 75 years, male, NA, stage:2, alive, 690 days 1274.6
DO45163 76 years, male, NA, stage:2, alive, 960 days 1268.9
DO48672 81 years, male, NA, stage:2, alive, 450 days 1264.3
DO45301 56 years, male, NA, stage:2, dead, 1440 days 1253.6
DO48712 50 years, male, NA, stage:2, alive, 810 days 1230.8
DO50809 56 years, male, NA, stage:3, dead, 720 days 1227.5
DO48728 74 years, female, NA, stage:2, alive, 150 days 1225.6
DO45273 62 years, male, NA, stage:2, alive, 480 days 1223.3
DO23523 52 years, male, NA, stage:3, alive, 1080 days 1217.6
DO45275 65 years, male, NA, stage:3, dead, 10 days 1210.9
DO50815 62 years, male, NA, stage:3, alive, 150 days 1204.6
DO48751 68 years, male, NA, stage:2, dead, 480 days 1197.3
DO48732 73 years, male, NA, stage:3, alive, 630 days 1195.7
DO45145 78 years, male, NA, stage:3, dead, 60 days 1180.5
DO50825 70 years, male, NA, stage:2, alive, 390 days 1175.1
DO50859 77 years, male, NA, stage:2, alive, 180 days 1173.0
DO23536 56 years, male, NA, stage:2, alive, 930 days 1172.3
DO45199 86 years, female, NA, stage:2, alive, 1350 days 1138.8
DO45135 77 years, male, NA, stage:1, alive, 1410 days 1136.2
DO45209 70 years, male, NA, stage:4, alive, 1350 days 1111.1
DO48727 81 years, female, NA, stage:2, dead, 390 days 1105.5
DO45227 57 years, female, NA, stage:2, alive, 1020 days 1103.0
DO23542 66 years, male, NA, stage:3, alive, 960 days 1097.5
DO23543 63 years, male, NA, stage:2, alive, 1020 days 1089.8
DO45141 73 years, male, NA, stage:2, alive, 1320 days 1089.0
DO45095 66 years, male, NA, stage:2, alive, 1620 days 1083.5
DO48746 76 years, male, NA, stage:3, alive, 570 days 1075.5
DO48706 72 years, male, NA, stage:2, alive, 870 days 1067.1
DO45247 31 years, female, NA, stage:2, alive, 210 days 1064.6
DO45117 73 years, female, NA, stage:2, dead, 1110 days 1062.2
DO50802 49 years, male, NA, stage:2, alive, 930 days 1060.8
DO23509 60 years, male, NA, stage:3, dead, 780 days 1059.5
DO45103 47 years, male, NA, stage:3, alive, 450 days 1040.8
DO50857 72 years, male, NA, stage:2, alive, 210 days 1039.5
DO45261 74 years, male, NA, stage:3, alive, 990 days 1039.5
DO50829 78 years, male, NA, stage:3, alive, 570 days 1032.8
DO45185 89 years, male, NA, stage:2, alive, 600 days 1022.2
DO45179 78 years, female, NA, stage:2, alive, 600 days 1005.9
DO23533 61 years, male, NA, stage:2, alive, 900 days 994.5
DO48704 68 years, female, NA, stage:3, alive, 750 days 982.9
DO45157 62 years, male, NA, stage:2, alive, 1980 days 969.6
DO50800 74 years, male, NA, stage:2, alive, 510 days 954.2
DO50783 62 years, male, NA, stage:3, alive, 480 days 935.9
DO45229 74 years, male, NA, stage:1, alive, 990 days 929.8
DO48725 66 years, male, NA, stage:1, alive, 780 days 924.3
DO50822 66 years, male, NA, stage:2, alive, 510 days 918.1
DO50805 72 years, male, NA, stage:2, alive, 690 days 913.4
DO45225 69 years, male, NA, stage:1, alive, 1050 days 909.9
DO50798 77 years, male, NA, stage:3, dead, 30 days 898.4
DO45203 71 years, female, NA, stage:2, alive, 1170 days 888.7
DO50793 76 years, male, NA, stage:4, alive, 540 days 878.1
DO45121 61 years, male, NA, stage:3, alive, 1530 days 869.6
DO45119 74 years, male, NA, stage:3, dead, 510 days 867.1
DO48733 72 years, male, NA, stage:2, alive, 600 days 859.8
DO23514 64 years, male, NA, stage:2, alive, 1290 days 856.6
DO45113 58 years, male, NA, stage:3, alive, 1560 days 841.2
DO48721 58 years, female, NA, stage:1, alive, 900 days 837.1
DO45092 62 years, male, NA, stage:4, dead, 1200 days 827.6
DO50789 73 years, female, NA, stage:2, alive, 570 days 826.9
DO45257 46 years, male, NA, stage:3, alive, 810 days 826.7
DO50839 47 years, female, NA, stage:3, alive, 330 days 825.7
DO48677 58 years, male, NA, stage:3, alive, 1140 days 822.8
DO50811 62 years, male, NA, stage:1, alive, 450 days 813.0
DO45123 78 years, female, NA, stage:2, dead, 570 days 806.0
DO48695 77 years, male, NA, stage:2, alive, 720 days 800.3
DO45181 84 years, female, NA, stage:2, alive, 1200 days 800.3
DO45155 69 years, male, NA, stage:2, alive, 2160 days 796.4
DO23549 74 years, male, NA, stage:3, alive, 990 days 789.4
DO48700 78 years, female, NA, stage:2, alive, 810 days 784.2
DO45233 83 years, male, NA, stage:3, alive, 900 days 779.5
DO23529 72 years, male, NA, stage:4, alive, 930 days 778.4
DO45223 67 years, male, NA, stage:4, alive, 1020 days 776.1
DO50819 72 years, female, NA, stage:2, alive, 510 days 766.0
DO45171 56 years, male, NA, stage:3, alive, 600 days 760.2
DO50844 75 years, male, NA, stage:4, alive, 300 days 754.8
DO45237 58 years, male, NA, stage:2, alive, 900 days 752.8
DO45143 69 years, male, NA, stage:3, alive, 1290 days 752.7
DO45235 68 years, female, NA, stage:1, alive, 900 days 751.4
DO45207 68 years, male, NA, stage:1, alive, 1050 days 749.5
DO50776 75 years, male, NA, stage:1, alive, 690 days 745.6
DO48717 54 years, male, NA, stage:4, dead, 180 days 742.2
DO45131 53 years, male, NA, stage:4, dead, 360 days 738.6
DO45133 64 years, male, NA, stage:3, dead, 660 days 728.7
DO45201 49 years, male, NA, stage:1, alive, 900 days 724.8
DO50832 73 years, male, NA, stage:3, alive, 90 days 712.7
DO50807 67 years, male, NA, stage:1, alive, 540 days 709.9
DO45177 81 years, female, NA, stage:3, alive, 1260 days 704.2
DO45091 56 years, male, NA, stage:2, dead, 1320 days 697.6
DO50787 63 years, male, NA, stage:3, alive, 480 days 693.9
DO48743 69 years, female, NA, stage:2, alive, 570 days 690.2
DO48679 72 years, male, NA, stage:2, alive, 1200 days 686.6
DO50804 81 years, male, NA, stage:2, alive, 720 days 681.6
DO45109 63 years, male, NA, stage:2, alive, 1590 days 680.9
DO45243 74 years, female, NA, stage:3, alive, 930 days 677.2
DO48719 80 years, male, NA, stage:2, alive, 690 days 668.4
DO45153 77 years, female, NA, stage:2, alive, 1380 days 665.1
DO48761 55 years, male, NA, stage:2, alive, 870 days 661.7
DO23547 74 years, male, NA, stage:1, alive, 1020 days 661.6
DO23510 80 years, female, NA, stage:2, alive, 870 days 655.1
DO50850 74 years, male, NA, stage:3, alive, 720 days 654.5
DO23552 80 years, female, NA, stage:1, alive, 810 days 651.6
DO23524 71 years, female, NA, stage:2, alive, 1050 days 651.6
DO48723 73 years, male, NA, stage:1, alive, 600 days 649.3
DO45169 74 years, male, NA, stage:3, alive, 1350 days 646.0
DO227643 79 years, male, NA, stage:2, alive, 1260 days 645.5
DO50818 65 years, male, NA, stage:2, alive, 510 days 644.8
DO23531 78 years, female, NA, stage:3, alive, 900 days 644.2
DO23541 65 years, male, NA, stage:2, alive, 930 days 643.8
DO23511 83 years, female, NA, stage:3, dead, 180 days 630.6
DO50813 56 years, male, NA, stage:2, alive, 420 days 625.0
DO45159 65 years, male, NA, stage:3, alive, 1470 days 624.5
DO45115 81 years, male, NA, stage:2, alive, 840 days 622.1
DO45267 73 years, male, NA, stage:3, dead, 570 days 621.0
DO23513 76 years, male, NA, stage:3, alive, 1200 days 611.4
DO227801 77 years, female, NA, stage:1, alive, 660 days 603.0
DO23540 73 years, male, NA, stage:1, alive, 750 days 602.5
DO45197 51 years, male, NA, stage:2, alive, 1170 days 568.2
DO23535 67 years, male, NA, stage:1, alive, 960 days 566.1
DO45149 70 years, female, NA, stage:2, alive, 1260 days 565.2
DO50774 68 years, female, NA, stage:2, alive, 720 days 556.7
DO50803 62 years, female, NA, stage:1, alive, 540 days 553.3
DO45263 67 years, male, NA, stage:3, dead, 270 days 546.3
DO23538 67 years, male, NA, stage:2, alive, 450 days 541.2
DO48674 80 years, male, NA, stage:2, alive, 1260 days 532.3
DO45137 38 years, male, NA, stage:1, alive, 1320 days 523.8
DO23527 72 years, male, NA, stage:1, alive, 1050 days 520.6
DO45255 81 years, male, NA, stage:3, alive, 720 days 518.0
DO48716 71 years, male, NA, stage:2, alive, 720 days 514.0
DO23550 69 years, male, NA, stage:1, alive, 990 days 499.9
DO23546 63 years, male, NA, stage:2, alive, 1050 days 498.9
DO23548 78 years, female, NA, stage:1, alive, 840 days 498.8
DO23551 73 years, male, NA, stage:3, dead, 150 days 488.8
DO48693 71 years, male, NA, stage:2, alive, 900 days 487.4
DO23518 67 years, male, NA, stage:2, alive, 1320 days 483.8
DO48742 76 years, male, NA, stage:2, alive, 600 days 460.7
DO45094 76 years, male, NA, stage:3, alive, 1650 days 460.5
DO23512 60 years, male, NA, stage:1, alive, 1260 days 457.6
DO50808 68 years, male, NA, stage:2, alive, 570 days 456.1
DO45096 69 years, male, NA, stage:2, dead, 1290 days 451.7
DO48760 70 years, female, NA, stage:2, alive, 690 days 446.0
DO48701 78 years, male, NA, stage:2, alive, 780 days 442.6
DO23517 62 years, male, NA, stage:2, alive, 1200 days 439.8
DO50845 72 years, male, NA, stage:3, alive, 210 days 437.6
DO45099 46 years, male, NA, stage:3, alive, 1590 days 429.9
DO45125 58 years, male, NA, stage:3, alive, 1680 days 422.2
DO45111 74 years, male, NA, stage:2, alive, 1590 days 404.0
DO45215 65 years, male, NA, stage:2, alive, 1170 days 398.0
DO23544 67 years, male, NA, stage:2, alive, 960 days 391.6
DO23539 77 years, male, NA, stage:1, alive, 1110 days 375.9
DO50817 75 years, male, NA, stage:2, alive, 390 days 358.9
DO50816 63 years, male, NA, stage:2, alive, 390 days 355.4
DO23534 60 years, male, NA, stage:2, alive, 840 days 354.2
DO50840 49 years, male, NA, stage:2, alive, 330 days 342.5
DO45241 49 years, male, NA, stage:1, alive, 1080 days 330.7
DO45195 62 years, male, NA, stage:1, alive, 390 days 322.2
DO45129 61 years, male, NA, stage:3, alive, 1470 days 291.3
DO23532 71 years, female, NA, stage:1, alive, 960 days 220.4
DO45101 63 years, male, NA, stage:2, alive, 1680 days 203.4
DO45105 61 years, male, NA, stage:1, alive, 1680 days 202.4
DO45167 67 years, male, NA, stage:2, dead, 1440 days 172.5
DO45107 63 years, female, NA, stage:2, alive, 1710 days 115.7
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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
537 Tumor 0.6
1021 Tumor 0.5
685 Tumor 0.5
327 Tumor 0.5
285 Tumor 0.5
951 Tumor 0.4
937 Tumor 0.4
965 Tumor 0.4
983 Tumor 0.4
955 Tumor 0.4
545 Tumor 0.4
1014 Normal 0.4
944 Normal 0.4
514 Normal 0.4
1025 Tumor 0.4
523 Tumor 0.4
497 Tumor 0.4
227 Tumor 0.3
957 Tumor 0.3
481 Tumor 0.3
851 Tumor 0.3
223 Tumor 0.3
922 Normal 0.3
131 Tumor 0.3
661 Tumor 0.3
865 Tumor 0.3
533 Tumor 0.3
1031 Tumor 0.3
978 Normal 0.3
721 Tumor 0.3
916 Normal 0.3
958 Normal 0.3
912 Normal 0.3
984 Normal 0.3
852 Normal 0.3
923 Tumor 0.3
918 Normal 0.3
567 Tumor 0.3
473 Tumor 0.3
964 Normal 0.3
113 Tumor 0.3
926 Normal 0.3
1032 Normal 0.3
494 Normal 0.3
981 Tumor 0.3
1044 Normal 0.3
1027 Tumor 0.3
636 Normal 0.3
535 Tumor 0.3
817 Tumor 0.3
524 Normal 0.3
938 Normal 0.3
1022 Normal 0.3
864 Normal 0.3
968 Normal 0.3
484 Normal 0.3
617 Tumor 0.2
696 Normal 0.2
412 Normal 0.2
966 Normal 0.2
724 Normal 0.2
527 Tumor 0.2
777 Tumor 0.2
355 Tumor 0.2
513 Tumor 0.2
824 Normal 0.2
448 Normal 0.2
536 Normal 0.2
525 Tumor 0.2
367 Tumor 0.2
815 Tumor 0.2
528 Normal 0.2
723 Tumor 0.2
953 Tumor 0.2
553 Tumor 0.2
756 Normal 0.2
1042 Normal 0.2
952 Normal 0.2
727 Tumor 0.2
516 Normal 0.2
743 Tumor 0.2
135 Tumor 0.2
286 Normal 0.2
518 Normal 0.2
1046 Normal 0.2
517 Tumor 0.2
353 Tumor 0.2
488 Normal 0.2
212 Normal 0.2
467 Tumor 0.2
515 Tumor 0.2
697 Tumor 0.2
698 Normal 0.2
526 Normal 0.2
745 Tumor 0.2
728 Normal 0.2
1026 Normal 0.2
967 Tumor 0.2
558 Normal 0.2
785 Tumor 0.2
492 Normal 0.2
554 Normal 0.2
861 Tumor 0.2
862 Normal 0.2
471 Tumor 0.2
546 Normal 0.2
686 Normal 0.2
493 Tumor 0.2
534 Normal 0.2
778 Normal 0.2
356 Normal 0.2
924 Normal 0.2
1043 Tumor 0.2
628 Normal 0.2
738 Normal 0.2
572 Normal 0.2
982 Normal 0.2
866 Normal 0.2
1013 Tumor 0.2
284 Normal 0.2
413 Tumor 0.2
818 Normal 0.2
921 Tumor 0.2
858 Normal 0.2
395 Tumor 0.1
954 Normal 0.1
715 Tumor 0.1
963 Tumor 0.1
195 Tumor 0.1
873 Tumor 0.1
573 Tumor 0.1
363 Tumor 0.1
755 Tumor 0.1
956 Normal 0.1
466 Normal 0.1
823 Tumor 0.1
221 Tumor 0.1
737 Tumor 0.1
228 Normal 0.1
716 Normal 0.1
462 Normal 0.1
483 Tumor 0.1
913 Tumor 0.1
884 Normal 0.1
211 Tumor 0.1
393 Tumor 0.1
415 Tumor 0.1
915 Tumor 0.1
976 Normal 0.1
1016 Normal 0.1
882 Normal 0.1
714 Normal 0.1
1041 Tumor 0.1
474 Normal 0.1
648 Normal 0.1
943 Tumor 0.1
1028 Normal 0.1
746 Normal 0.1
364 Normal 0.1
786 Normal 0.1
925 Tumor 0.1
616 Normal 0.1
443 Tumor 0.1
917 Tumor 0.1
857 Tumor 0.1
695 Tumor 0.1
472 Normal 0.1
478 Normal 0.1
564 Normal 0.1
878 Normal 0.1
1015 Tumor 0.1
267 Tumor 0.1
331 Tumor 0.1
416 Normal 0.1
568 Normal 0.1
214 Normal 0.1
571 Tumor 0.1
421 Tumor 0.1
722 Normal 0.1
328 Normal 0.1
414 Normal 0.1
713 Tumor 0.1
975 Tumor 0.1
742 Normal 0.1
376 Normal 0.0
647 Tumor 0.0
477 Tumor 0.0
664 Normal 0.0
142 Normal 0.0
662 Normal 0.0
431 Tumor 0.0
111 Normal 0.0
187 Tumor 0.0
868 Normal 0.0
411 Tumor 0.0
422 Normal 0.0
257 Tumor 0.0
433 Tumor 0.0
447 Tumor 0.0
816 Normal 0.0
618 Normal 0.0
191 Tumor 0.0
482 Normal 0.0
977 Tumor 0.0
881 Tumor 0.0
665 Tumor 0.0
385 Tumor 0.0
436 Normal 0.0
468 Normal 0.0
213 Tumor 0.0
432 Normal 0.0
145 Tumor 0.0
538 Normal 0.0
387 Tumor 0.0
224 Normal 0.0
128 Normal 0.0
487 Tumor 0.0
392 Normal 0.0
671 Tumor 0.0
352 Normal 0.0
867 Tumor 0.0
883 Tumor 0.0
663 Tumor 0.0
358 Normal 0.0
427 Tumor 0.0
114 Normal 0.0
563 Tumor 0.0
261 Tumor 0.0
351 Tumor 0.0
136 Normal 0.0
362 Normal 0.0
298 Normal 0.0
455 Tumor 0.0
425 Tumor 0.0
137 Tumor 0.0
232 Normal -0.1
874 Normal -0.1
498 Normal -0.1
375 Tumor -0.1
424 Normal -0.1
132 Normal -0.1
196 Normal -0.1
172 Normal -0.1
672 Normal -0.1
314 Normal -0.1
218 Normal -0.1
814 Normal -0.1
642 Normal -0.1
451 Tumor -0.1
384 Normal -0.1
123 Tumor -0.1
354 Normal -0.1
426 Normal -0.1
911 Tumor -0.1
863 Tumor -0.1
452 Normal -0.1
271 Tumor -0.1
464 Normal -0.1
126 Normal -0.1
461 Tumor -0.1
368 Normal -0.1
124 Normal -0.1
666 Normal -0.1
127 Tumor -0.1
277 Tumor -0.1
615 Tumor -0.1
278 Normal -0.1
147 Tumor -0.1
312 Normal -0.1
434 Normal -0.1
148 Normal -0.1
914 Normal -0.1
342 Normal -0.1
222 Normal -0.1
813 Tumor -0.1
332 Normal -0.1
428 Normal -0.1
341 Tumor -0.1
262 Normal -0.1
641 Tumor -0.1
162 Normal -0.1
1045 Tumor -0.2
423 Tumor -0.2
138 Normal -0.2
217 Tumor -0.2
574 Normal -0.2
272 Normal -0.2
435 Tumor -0.2
141 Tumor -0.2
186 Normal -0.2
185 Tumor -0.2
112 Tumor -0.2
446 Normal -0.2
744 Normal -0.2
171 Tumor -0.2
297 Tumor -0.2
146 Normal -0.2
344 Normal -0.2
465 Tumor -0.2
444 Normal -0.2
445 Tumor -0.2
394 Normal -0.2
231 Tumor -0.2
456 Normal -0.2
311 Tumor -0.2
361 Tumor -0.2
463 Tumor -0.2
365 Tumor -0.2
188 Normal -0.2
258 Normal -0.2
161 Tumor -0.2
357 Tumor -0.2
877 Tumor -0.2
268 Normal -0.2
283 Tumor -0.3
388 Normal -0.3
396 Normal -0.3
635 Tumor -0.3
366 Normal -0.3
383 Tumor -0.3
386 Normal -0.3
491 Tumor -0.3
343 Tumor -0.3
125 Tumor -0.3
192 Normal -0.3
741 Tumor -0.4
391 Tumor -0.4
313 Tumor -0.4
627 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 HPA051754
 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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