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RPL23
HPA
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  • RPL23
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.

RPL23 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.

: 1480.31
Median expressioni

Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.

: N/A
Median follow up timei

Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.

: N/A
P scorei

Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.

N/A
5-year survival highi

5-year survival for patients with higher expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
5-year survival lowi

5-year survival for patients with lower expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
TCGA RNA samplesi

RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .

Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.

Average pTPM 1336.4
Number of samples 362
Samples
Sample Description pTPM
TCGA-DD-AAE0-01A 45 years, female, asian, stage:Stage IIIA, alive, 555 days 5696.9
TCGA-UB-A7MA-01A 62 years, female, white, stage:Stage II, alive, 848 days 4135.7
TCGA-BC-A112-01A 80 years, male, white, stage:'--, dead, 153 days 4055.9
TCGA-BC-A69H-01A 64 years, male, white, stage:Stage II, alive, 444 days 4042.4
TCGA-DD-AAVU-01A 46 years, male, asian, stage:Stage II, alive, 2202 days 3713.3
TCGA-DD-AACJ-01A 75 years, male, asian, stage:Stage II, alive, 2102 days 3680.6
TCGA-CC-A7II-01A 54 years, male, asian, stage:Stage IIIA, alive, 399 days 3670.7
TCGA-DD-AAC8-01A 72 years, male, asian, stage:Stage I, dead, 16 days 3667.8
TCGA-CC-A7IE-01A 57 years, male, asian, stage:Stage IIIA, dead, 217 days 3527.4
TCGA-DD-AADO-01A 55 years, male, asian, stage:Stage I, alive, 453 days 3451.6
TCGA-EP-A2KB-01A 46 years, female, white, stage:Stage I, dead, 596 days 3441.3
TCGA-DD-AAD5-01A 54 years, male, asian, stage:Stage I, alive, 1345 days 3211.3
TCGA-CC-A7IG-01A 47 years, male, asian, stage:Stage II, dead, 299 days 3167.1
TCGA-RG-A7D4-01A 69 years, male, black or african american, stage:Stage II, alive, 1098 days 3165.9
TCGA-DD-A73D-01A 68 years, female, white, stage:Stage II, alive, 693 days 3137.3
TCGA-CC-A8HV-01A 51 years, female, asian, stage:Stage II, dead, 279 days 3093.5
TCGA-DD-AACA-01A 65 years, male, asian, stage:Stage I, alive, 2301 days 3091.3
TCGA-DD-AACP-01A 64 years, male, asian, stage:Stage I, alive, 415 days 3068.1
TCGA-G3-A25X-01A 73 years, male, asian, stage:Stage II, alive, 1779 days 3039.3
TCGA-ED-A8O5-01A 59 years, female, asian, stage:Stage IIIA, alive, 406 days 3008.4
TCGA-G3-AAV5-01A 67 years, male, white, stage:Stage II, alive, 354 days 2935.4
TCGA-DD-AACB-01A 74 years, female, asian, stage:Stage I, alive, 2324 days 2808.7
TCGA-BC-A217-01A 75 years, female, white, stage:Stage II, dead, 1397 days 2790.1
TCGA-DD-AADI-01A 43 years, female, asian, stage:Stage I, alive, 1085 days 2730.4
TCGA-DD-AACN-01A 32 years, male, asian, stage:Stage I, alive, 1302 days 2696.2
TCGA-DD-AACG-01A 52 years, male, asian, stage:Stage II, dead, 469 days 2694.5
TCGA-CC-A123-01A 24 years, female, asian, stage:Stage IIIA, alive, 219 days 2673.1
TCGA-G3-A25T-01A 45 years, female, white, stage:Stage IIIA, alive, 1553 days 2648.5
TCGA-CC-A3MA-01A 61 years, male, asian, stage:Stage IIIA, dead, 303 days 2596.4
TCGA-DD-A3A9-01A 64 years, female, white, stage:Stage IVB, dead, 931 days 2595.4
TCGA-DD-A3A7-01A 67 years, male, stage:Stage IIIB, dead, 419 days 2579.7
TCGA-KR-A7K7-01A 61 years, female, white, stage:Stage II, alive, 951 days 2539.6
TCGA-G3-A7M6-01A 60 years, female, white, stage:Stage I, alive, 632 days 2515.9
TCGA-DD-A39X-01A 78 years, female, white, stage:Stage I, dead, 1694 days 2459.5
TCGA-EP-A2KA-01A 52 years, female, white, stage:Stage IIIA, dead, 627 days 2448.8
TCGA-FV-A3I0-01A 76 years, female, white, stage:Stage II, alive, 848 days 2412.4
TCGA-5C-A9VG-01A 58 years, male, white, stage:Stage II, alive, 328 days 2341.8
TCGA-DD-AA3A-01A 81 years, female, white, stage:Stage I, dead, 410 days 2324.6
TCGA-ED-A5KG-01A 60 years, female, asian, stage:Stage II, alive, 854 days 2320.4
TCGA-BW-A5NO-01A 50 years, male, black or african american, stage:Stage IIIA, alive, 20 days 2292.3
TCGA-CC-5260-01A 61 years, female, asian, stage:Stage IIIC, dead, 87 days 2283.9
TCGA-G3-A7M9-01A 70 years, male, white, stage:Stage IIIB, dead, 56 days 2275.1
TCGA-DD-A1EJ-01A 71 years, female, white, stage:Stage IIIC, dead, 1005 days 2267.7
TCGA-DD-A39V-01A 77 years, male, white, stage:Stage II, dead, 643 days 2266.4
TCGA-CC-A5UE-01A 48 years, male, asian, stage:Stage IIIB, dead, 272 days 2259.0
TCGA-CC-A7IK-01A 59 years, male, asian, stage:Stage IIIA, dead, 262 days 2246.9
TCGA-DD-A39Z-01A 43 years, female, stage:Stage II, dead, 601 days 2242.2
TCGA-CC-A9FW-01A 68 years, male, asian, stage:Stage IIIA, alive, 248 days 2224.9
TCGA-ED-A8O6-01A 50 years, female, asian, stage:Stage IIIA, dead, 56 days 2217.5
TCGA-XR-A8TF-01A 74 years, male, white, stage:Stage I, dead, 693 days 2193.8
TCGA-CC-5261-01A 44 years, male, asian, stage:Stage II, dead, 97 days 2182.7
TCGA-2Y-A9GY-01A 64 years, female, white, stage:Stage II, dead, 757 days 2160.8
TCGA-G3-AAV6-01A 53 years, female, white, stage:Stage IIIA, dead, 65 days 2147.3
TCGA-CC-A8HU-01A 39 years, female, asian, stage:Stage IIIA, dead, 344 days 2118.2
TCGA-CC-A5UC-01A 63 years, male, asian, stage:Stage IIIA, dead, 347 days 2069.5
TCGA-G3-AAUZ-01A 48 years, male, stage:Stage I, alive, 480 days 2068.4
TCGA-DD-AACL-01A 66 years, female, asian, stage:Stage I, dead, 107 days 2051.4
TCGA-DD-A1EL-01A 23 years, male, black or african american, stage:Stage II, dead, 415 days 2048.2
TCGA-CC-5263-01A 35 years, male, asian, stage:Stage IIIA, dead, 129 days 2026.5
TCGA-EP-A2KC-01A 62 years, male, black or african american, stage:Stage I, dead, 19 days 2022.5
TCGA-ED-A7PZ-01A 61 years, male, asian, stage:Stage II, alive, 6 days 1993.4
TCGA-CC-A1HT-01A 50 years, male, asian, stage:Stage IIIA, dead, 101 days 1985.6
TCGA-CC-A3M9-01A 45 years, male, asian, stage:Stage IIIA, dead, 300 days 1959.8
TCGA-G3-A25S-01A 64 years, male, white, stage:Stage I, dead, 416 days 1959.7
TCGA-DD-AADD-01A 51 years, male, asian, stage:Stage I, alive, 1231 days 1926.3
TCGA-ES-A2HS-01A 80 years, male, white, stage:Stage I, dead, 688 days 1920.9
TCGA-DD-AAEE-01A 55 years, male, asian, stage:Stage I, alive, 810 days 1874.4
TCGA-DD-AACU-01A 59 years, male, asian, stage:Stage I, alive, 1567 days 1832.9
TCGA-DD-AACX-01A 66 years, male, asian, stage:Stage II, alive, 170 days 1830.2
TCGA-BC-A10Q-01A 72 years, female, white, stage:'--, dead, 1135 days 1818.9
TCGA-DD-AADN-01A 59 years, male, asian, stage:Stage I, alive, 898 days 1785.8
TCGA-DD-A3A3-01A 45 years, male, asian, stage:Stage I, dead, 535 days 1780.2
TCGA-G3-A25Y-01A 52 years, female, asian, stage:Stage I, dead, 452 days 1780.0
TCGA-DD-AAVP-01A 48 years, male, asian, stage:Stage I, alive, 2752 days 1763.3
TCGA-DD-A1EH-01A 23 years, male, white, stage:Stage III, alive, 1495 days 1757.4
TCGA-DD-A4NN-01A 56 years, female, white, stage:Stage I, dead, 899 days 1723.4
TCGA-G3-AAV4-01A 83 years, female, white, stage:Stage I, dead, 27 days 1721.7
TCGA-RC-A6M6-01A 75 years, male, white, stage:Stage II, alive, 9 days 1710.4
TCGA-WQ-A9G7-01A 71 years, female, white, stage:'--, alive, 30 days 1678.0
TCGA-ED-A82E-01A 60 years, female, asian, stage:Stage IIIA, alive, 408 days 1670.6
TCGA-G3-A5SJ-01A 59 years, male, white, stage:Stage I, alive, 698 days 1667.8
TCGA-MI-A75C-01A 64 years, male, white, stage:Stage I, alive, 291 days 1646.8
TCGA-DD-AACW-01A 43 years, male, asian, stage:Stage I, alive, 1424 days 1641.3
TCGA-DD-AAD6-01A 66 years, male, asian, stage:Stage IIIA, alive, 672 days 1639.8
TCGA-DD-AAED-01A 51 years, male, asian, stage:Stage I, alive, 763 days 1638.5
TCGA-CC-A7IL-01A 61 years, male, asian, stage:Stage IIIA, dead, 278 days 1625.5
TCGA-ED-A66X-01A 35 years, male, asian, stage:Stage IIIA, alive, 406 days 1587.7
TCGA-CC-A5UD-01A 45 years, male, asian, stage:Stage IIIA, dead, 304 days 1558.0
TCGA-DD-A73E-01A 66 years, male, white, stage:Stage I, alive, 44 days 1548.0
TCGA-FV-A495-01A 51 years, female, white, stage:Stage II, alive, 1 days 1544.4
TCGA-KR-A7K8-01A 57 years, male, stage:Stage I, alive, 906 days 1537.1
TCGA-FV-A4ZQ-01A 52 years, male, white, stage:Stage I, alive, 12 days 1530.6
TCGA-ED-A66Y-01A 51 years, female, asian, stage:Stage IIIA, dead, 296 days 1519.3
TCGA-DD-AACI-01A 69 years, male, asian, stage:Stage II, alive, 1618 days 1511.5
TCGA-CC-A3MB-01A 36 years, male, asian, stage:Stage IIIA, dead, 315 days 1505.7
TCGA-CC-A8HT-01A 74 years, male, asian, stage:Stage IIIA, dead, 140 days 1503.1
TCGA-DD-AACO-01A 40 years, male, asian, stage:Stage I, alive, 1876 days 1496.5
TCGA-ZP-A9D2-01A 51 years, male, white, stage:'--, dead, 765 days 1494.5
TCGA-DD-AACZ-01A 63 years, female, asian, stage:Stage I, dead, 171 days 1480.3
TCGA-ZP-A9D4-01A 64 years, female, white, stage:'--, alive, 395 days 1466.2
TCGA-UB-A7MC-01A 59 years, male, white, stage:Stage IIIA, alive, 500 days 1462.7
TCGA-DD-AADR-01A 58 years, male, asian, stage:Stage I, alive, 2028 days 1450.4
TCGA-DD-A1EI-01A 46 years, male, asian, stage:Stage I, alive, 183 days 1447.1
TCGA-K7-AAU7-01A 61 years, male, white, stage:Stage II, alive, 359 days 1434.2
TCGA-MI-A75H-01A 77 years, male, white, stage:'--, alive, 747 days 1426.9
TCGA-DD-AAE1-01A 52 years, male, asian, stage:Stage I, alive, 552 days 1425.5
TCGA-DD-AAVV-01A 56 years, male, asian, stage:Stage II, alive, 2455 days 1420.3
TCGA-BC-A10W-01A 50 years, male, asian, stage:'--, dead, 91 days 1408.3
TCGA-DD-A1EF-01A 57 years, female, white, stage:Stage I, dead, 394 days 1405.7
TCGA-DD-AAVQ-01A 38 years, male, asian, stage:Stage I, alive, 2728 days 1402.7
TCGA-DD-A4NA-01A 67 years, female, white, stage:Stage IIIC, alive, 1008 days 1392.5
TCGA-DD-A3A6-01A 72 years, female, white, stage:Stage II, dead, 3258 days 1390.4
TCGA-ED-A7PX-01A 48 years, female, asian, stage:Stage II, alive, 6 days 1389.0
TCGA-DD-AAE4-01A 49 years, female, asian, stage:Stage I, alive, 608 days 1385.0
TCGA-2Y-A9H2-01A 64 years, female, white, stage:Stage I, alive, 1731 days 1380.4
TCGA-DD-AADP-01A 45 years, male, asian, stage:Stage I, alive, 458 days 1377.1
TCGA-2Y-A9GS-01A 58 years, male, white, stage:'--, dead, 724 days 1375.6
TCGA-CC-5264-01A 71 years, male, asian, stage:Stage IIIA, dead, 102 days 1372.3
TCGA-DD-AACS-01A 39 years, male, asian, stage:Stage I, alive, 1804 days 1358.4
TCGA-G3-A25Z-01A 58 years, male, asian, stage:Stage I, alive, 655 days 1354.4
TCGA-DD-AAVR-01A 44 years, male, asian, stage:Stage I, alive, 2513 days 1348.9
TCGA-DD-AADY-01A 55 years, female, asian, stage:Stage I, alive, 555 days 1340.7
TCGA-ED-A7PY-01A 20 years, female, asian, stage:Stage II, alive, 390 days 1339.3
TCGA-DD-A4NJ-01A 54 years, female, white, stage:Stage II, alive, 928 days 1335.3
TCGA-DD-AADG-01A 70 years, male, asian, stage:Stage IIIA, alive, 1145 days 1334.6
TCGA-DD-AACK-01A 70 years, male, asian, stage:Stage I, alive, 9 days 1334.5
TCGA-G3-AAV1-01A 51 years, male, asian, stage:Stage IIIC, dead, 359 days 1330.0
TCGA-DD-AAVS-01A 56 years, male, asian, stage:Stage I, alive, 1823 days 1318.6
TCGA-FV-A23B-01A 70 years, female, white, stage:Stage II, dead, 1852 days 1315.6
TCGA-3K-AAZ8-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 396 days 1315.1
TCGA-CC-A8HS-01A 18 years, male, asian, stage:Stage IIIC, dead, 300 days 1310.2
TCGA-G3-A3CJ-01A 52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days 1309.4
TCGA-2Y-A9H1-01A 58 years, male, white, stage:Stage I, dead, 1229 days 1300.5
TCGA-FV-A4ZP-01A 78 years, male, white, stage:Stage IIIA, dead, 2486 days 1297.4
TCGA-EP-A26S-01A 70 years, male, white, stage:Stage I, alive, 608 days 1296.6
TCGA-DD-AADA-01A 66 years, female, asian, stage:Stage I, alive, 1233 days 1294.0
TCGA-O8-A75V-01A 54 years, male, stage:Stage I, alive, 538 days 1277.1
TCGA-G3-AAV7-01A 38 years, male, asian, stage:Stage II, alive, 361 days 1276.9
TCGA-DD-AAEH-01A 73 years, male, asian, stage:Stage I, alive, 784 days 1274.9
TCGA-DD-AADM-01A 58 years, male, asian, stage:Stage II, dead, 12 days 1273.5
TCGA-DD-AADJ-01A 70 years, female, asian, stage:Stage I, alive, 1066 days 1272.3
TCGA-DD-AAW2-01A 69 years, male, asian, stage:Stage I, alive, 1855 days 1270.7
TCGA-GJ-A3OU-01A 59 years, male, white, stage:Stage I, alive, 879 days 1267.2
TCGA-UB-A7MB-01A 24 years, male, white, stage:Stage II, alive, 601 days 1263.1
TCGA-BC-A10T-01A 76 years, male, white, stage:'--, dead, 837 days 1259.1
TCGA-CC-5262-01A 67 years, male, asian, stage:Stage IIIC, dead, 103 days 1257.8
TCGA-DD-A39Y-01A 67 years, male, asian, stage:Stage I, dead, 171 days 1256.7
TCGA-MI-A75I-01A 61 years, male, black or african american, stage:'--, alive, 630 days 1249.0
TCGA-DD-AACD-01A 48 years, male, asian, stage:Stage I, dead, 381 days 1247.4
TCGA-YA-A8S7-01A 68 years, male, white, stage:Stage IIIA, dead, 412 days 1245.3
TCGA-DD-A3A1-01A 65 years, male, stage:Stage IIIA, dead, 233 days 1244.3
TCGA-XR-A8TC-01A 43 years, female, white, stage:Stage I, alive, 1339 days 1242.3
TCGA-DD-AACC-01A 61 years, male, asian, stage:Stage I, dead, 1685 days 1228.4
TCGA-G3-A25U-01A 63 years, female, asian, stage:Stage I, alive, 1636 days 1228.2
TCGA-DD-AADW-01A 48 years, male, asian, stage:Stage I, alive, 587 days 1207.5
TCGA-DD-AADS-01A 63 years, male, asian, stage:Stage I, alive, 474 days 1205.4
TCGA-G3-A3CK-01A 61 years, male, asian, stage:Stage I, alive, 585 days 1201.9
TCGA-DD-AACQ-01A 50 years, male, asian, stage:Stage II, dead, 432 days 1198.6
TCGA-BC-A10S-01A 81 years, male, white, stage:'--, dead, 1423 days 1197.1
TCGA-DD-A4NS-01A 61 years, female, white, stage:Stage I, dead, 2456 days 1193.4
TCGA-XR-A8TE-01A 16 years, male, white, stage:Stage IIIA, alive, 925 days 1193.3
TCGA-DD-AAD8-01A 73 years, female, asian, stage:Stage I, alive, 1219 days 1189.6
TCGA-DD-AAVY-01A 56 years, male, asian, stage:Stage IIIA, alive, 1970 days 1170.9
TCGA-DD-AAW3-01A 69 years, male, asian, stage:Stage I, alive, 1633 days 1162.8
TCGA-CC-A7IJ-01A 56 years, male, asian, stage:Stage II, alive, 382 days 1160.2
TCGA-HP-A5N0-01A 90 years, female, stage:'--, dead, 752 days 1155.8
TCGA-DD-A39W-01A 29 years, female, white, stage:Stage III, dead, 827 days 1152.0
TCGA-RC-A6M4-01A 74 years, female, white, stage:Stage IIIA, alive, 22 days 1148.6
TCGA-DD-AADQ-01A 59 years, male, asian, stage:Stage II, alive, 436 days 1147.3
TCGA-G3-A25V-01A 68 years, male, white, stage:Stage I, alive, 860 days 1145.7
TCGA-DD-AAE3-01A 50 years, male, asian, stage:Stage I, alive, 566 days 1145.0
TCGA-DD-A4NR-01A 85 years, female, white, stage:Stage I, dead, 9 days 1134.8
TCGA-WX-AA44-01A 64 years, female, white, stage:Stage I, alive, 615 days 1134.4
TCGA-2Y-A9H3-01A 45 years, male, white, stage:Stage II, alive, 1516 days 1131.5
TCGA-DD-AAD1-01A 51 years, female, asian, stage:Stage I, alive, 564 days 1130.4
TCGA-DD-A119-01A 40 years, male, asian, stage:Stage IV, dead, 223 days 1129.1
TCGA-ED-A97K-01A 54 years, male, asian, stage:Stage IIIA, alive, 6 days 1127.6
TCGA-EP-A3RK-01A 73 years, male, white, stage:Stage IIIA, alive, 363 days 1121.7
TCGA-BC-A10Y-01A 76 years, male, white, stage:'--, dead, 711 days 1112.1
TCGA-KR-A7K0-01A 65 years, male, white, stage:Stage I, dead, 65 days 1109.2
TCGA-BC-A8YO-01A 66 years, female, white, stage:Stage IIIC, alive, 562 days 1105.6
TCGA-5R-AAAM-01A 65 years, female, white, stage:Stage II, dead, 46 days 1104.1
TCGA-BC-A69I-01A 69 years, male, white, stage:Stage I, alive, 387 days 1095.2
TCGA-DD-A4NO-01A 65 years, male, white, stage:Stage I, alive, 2245 days 1080.6
TCGA-DD-AAD3-01A 43 years, male, asian, stage:Stage I, alive, 1295 days 1080.0
TCGA-5R-AA1D-01A 17 years, female, white, stage:Stage IIIA, alive, 449 days 1077.4
TCGA-MI-A75E-01A 61 years, male, white, stage:Stage IIIC, alive, 507 days 1070.3
TCGA-DD-AACF-01A 68 years, male, asian, stage:Stage I, dead, 365 days 1068.5
TCGA-RC-A7S9-01A 47 years, female, asian, stage:Stage I, alive, 640 days 1065.3
TCGA-DD-A116-01A 68 years, male, asian, stage:Stage IIIA, dead, 1622 days 1064.2
TCGA-FV-A496-01A 84 years, female, white, stage:Stage I, alive, 10 days 1063.9
TCGA-BC-A10Z-01A 62 years, female, white, stage:Stage I, dead, 34 days 1057.5
TCGA-BC-A3KG-01A 68 years, female, white, stage:Stage II, alive, 680 days 1056.5
TCGA-DD-AAVX-01A 38 years, male, asian, stage:Stage II, alive, 1718 days 1055.7
TCGA-DD-A4NP-01A 32 years, male, white, stage:Stage I, alive, 3308 days 1053.9
TCGA-ZS-A9CE-01A 79 years, female, white, stage:Stage II, alive, 1241 days 1053.0
TCGA-PD-A5DF-01A 58 years, female, white, stage:Stage IIIB, dead, 639 days 1052.6
TCGA-DD-A1EA-01A 68 years, male, asian, stage:Stage II, alive, 2415 days 1051.5
TCGA-G3-A7M5-01A 76 years, male, asian, stage:Stage I, alive, 447 days 1048.1
TCGA-DD-A1EG-01A 76 years, male, white, stage:Stage I, dead, 1372 days 1047.5
TCGA-2Y-A9H7-01A 81 years, female, white, stage:Stage I, alive, 1168 days 1046.0
TCGA-BD-A3EP-01A 75 years, female, black or african american, stage:Stage I, alive, 409 days 1044.2
TCGA-ED-A459-01A 47 years, male, asian, stage:Stage II, alive, 910 days 1014.1
TCGA-DD-AAVZ-01A 38 years, male, asian, stage:Stage I, alive, 1900 days 1013.1
TCGA-5C-AAPD-01A 61 years, male, asian, stage:Stage II, alive, 20 days 1011.3
TCGA-DD-AAE6-01A 59 years, female, asian, stage:Stage I, alive, 141 days 1009.8
TCGA-ED-A627-01A 74 years, male, white, stage:Stage I, alive, 423 days 1004.5
TCGA-DD-AACH-01A 69 years, male, asian, stage:Stage II, dead, 195 days 999.7
TCGA-DD-AACE-01A 62 years, male, asian, stage:Stage I, alive, 2184 days 997.2
TCGA-G3-AAV2-01A 50 years, male, white, stage:Stage I, alive, 372 days 995.0
TCGA-BC-A3KF-01A 66 years, female, white, stage:Stage I, alive, 8 days 994.7
TCGA-DD-A1EC-01A 20 years, female, white, stage:Stage I, alive, 602 days 991.2
TCGA-XR-A8TD-01A 49 years, female, white, stage:Stage IIIB, alive, 1030 days 986.1
TCGA-ZS-A9CG-01A 55 years, male, white, stage:Stage II, alive, 341 days 985.8
TCGA-ZS-A9CD-01A 73 years, male, white, stage:Stage II, dead, 1386 days 983.7
TCGA-UB-A7MF-01A 56 years, male, white, stage:Stage IIIA, dead, 214 days 982.4
TCGA-CC-5258-01A 48 years, male, asian, stage:Stage II, dead, 129 days 977.7
TCGA-2Y-A9HA-01A 70 years, male, white, stage:Stage II, dead, 36 days 976.8
TCGA-ZP-A9CZ-01A 72 years, male, asian, stage:'--, alive, 706 days 975.6
TCGA-BD-A2L6-01A 69 years, male, white, stage:'--, alive, 1363 days 968.4
TCGA-G3-A5SL-01A 70 years, male, white, stage:Stage II, alive, 621 days 965.8
TCGA-5C-A9VH-01A 70 years, male, white, stage:Stage I, alive, 322 days 962.7
TCGA-ED-A7XP-01A 53 years, female, asian, stage:Stage II, alive, 400 days 957.1
TCGA-ED-A7XO-01A 29 years, male, asian, stage:Stage IIIA, alive, 427 days 956.6
TCGA-UB-A7ME-01A 51 years, male, asian, stage:Stage I, alive, 486 days 953.1
TCGA-DD-AACV-01A 53 years, male, asian, stage:Stage I, alive, 1531 days 951.3
TCGA-G3-A7M7-01A 65 years, male, white, stage:Stage I, alive, 361 days 950.6
TCGA-MR-A8JO-01A 34 years, male, white, stage:Stage I, alive, 330 days 948.6
TCGA-DD-AAE9-01A 69 years, male, asian, stage:Stage I, alive, 722 days 945.6
TCGA-DD-AACY-01A 61 years, male, asian, stage:Stage I, alive, 1450 days 943.3
TCGA-DD-AADV-01A 50 years, male, asian, stage:Stage I, alive, 574 days 938.7
TCGA-FV-A2QQ-01A 80 years, male, white, stage:Stage I, alive, 729 days 934.2
TCGA-DD-AAEK-01A 51 years, male, asian, stage:Stage II, alive, 1067 days 931.4
TCGA-BC-A110-01A 51 years, female, black or african american, stage:'--, dead, 2116 days 930.4
TCGA-RC-A7SK-01A 59 years, male, asian, stage:Stage I, alive, 472 days 929.0
TCGA-UB-A7MD-01A 67 years, male, black or african american, stage:Stage I, dead, 52 days 927.2
TCGA-RC-A6M5-01A 20 years, female, white, stage:Stage IVA, alive, 15 days 926.3
TCGA-DD-A73G-01A 73 years, female, white, stage:Stage I, alive, 3478 days 925.4
TCGA-DD-A1EE-01A 73 years, male, white, stage:Stage IIIA, dead, 349 days 923.2
TCGA-2Y-A9GX-01A 68 years, male, white, stage:Stage I, alive, 2442 days 922.2
TCGA-DD-AADC-01A 53 years, male, asian, stage:Stage I, dead, 425 days 921.7
TCGA-FV-A3I1-01A 81 years, female, white, stage:Stage II, dead, 247 days 921.1
TCGA-XR-A8TG-01A 58 years, male, white, stage:Stage I, alive, 898 days 919.1
TCGA-EP-A3JL-01A 76 years, male, white, stage:Stage I, alive, 303 days 917.5
TCGA-DD-AAE2-01A 51 years, male, asian, stage:Stage I, alive, 638 days 907.7
TCGA-KR-A7K2-01A 64 years, male, white, stage:Stage I, alive, 829 days 907.4
TCGA-5R-AA1C-01A 57 years, male, white, stage:Stage II, alive, 520 days 906.6
TCGA-DD-A4NH-01A 65 years, female, white, stage:Stage IIIB, alive, 917 days 904.9
TCGA-QA-A7B7-01A 48 years, male, black or african american, stage:Stage II, alive, 94 days 904.5
TCGA-DD-AAW1-01A 55 years, male, asian, stage:Stage IIIA, alive, 1989 days 904.0
TCGA-UB-AA0U-01A 60 years, male, white, stage:Stage II, alive, 327 days 900.9
TCGA-DD-AAD2-01A 66 years, male, asian, stage:Stage I, alive, 658 days 894.0
TCGA-WX-AA46-01A 61 years, male, white, stage:Stage II, alive, 756 days 888.8
TCGA-FV-A3R2-01A 75 years, male, white, stage:Stage I, dead, 194 days 884.6
TCGA-DD-AADB-01A 51 years, male, asian, stage:Stage I, alive, 1242 days 883.9
TCGA-BC-A10U-01A 69 years, male, white, stage:'--, dead, 837 days 882.3
TCGA-WQ-AB4B-01A 62 years, male, white, stage:Stage II, alive, 395 days 880.4
TCGA-CC-5259-01A 60 years, female, asian, stage:Stage IIIC, alive, 250 days 872.6
TCGA-2Y-A9GZ-01A 82 years, female, white, stage:Stage II, dead, 848 days 870.2
TCGA-BC-A216-01A 62 years, female, white, stage:Stage IIIA, alive, 1351 days 870.1
TCGA-DD-AADU-01A 60 years, male, asian, stage:Stage II, alive, 554 days 864.7
TCGA-DD-A4NQ-01A 60 years, male, white, stage:Stage II, dead, 373 days 863.9
TCGA-G3-AAV3-01A 58 years, female, white, stage:Stage II, alive, 412 days 857.2
TCGA-G3-A6UC-01A 65 years, male, white, stage:Stage IIIB, alive, 671 days 857.2
TCGA-RC-A7SH-01A 42 years, male, asian, stage:Stage II, alive, 468 days 856.8
TCGA-BC-A5W4-01A 69 years, male, white, stage:Stage IIIA, dead, 547 days 853.3
TCGA-NI-A8LF-01A 74 years, male, white, stage:Stage I, alive, 799 days 852.1
TCGA-DD-AAVW-01A 35 years, male, asian, stage:Stage I, alive, 2317 days 851.5
TCGA-2Y-A9H0-01A 49 years, male, white, stage:Stage IIIA, alive, 3675 days 848.6
TCGA-2Y-A9H5-01A 59 years, female, white, stage:Stage I, dead, 555 days 845.9
TCGA-FV-A3R3-01A 38 years, female, white, stage:Stage I, dead, 366 days 843.8
TCGA-WX-AA47-01A 33 years, female, white, stage:Stage IIIA, dead, 556 days 842.7
TCGA-WJ-A86L-01A 68 years, female, white, stage:Stage I, alive, 345 days 839.7
TCGA-DD-A118-01A 77 years, female, white, stage:Stage II, alive, 3437 days 834.1
TCGA-G3-A3CG-01A 80 years, male, white, stage:Stage I, alive, 673 days 831.0
TCGA-4R-AA8I-01A 66 years, male, white, stage:Stage II, dead, 262 days 827.4
TCGA-CC-A7IH-01A 58 years, male, asian, stage:Stage IIIA, alive, 365 days 827.4
TCGA-2Y-A9H4-01A 68 years, male, black or african american, stage:Stage I, alive, 1452 days 826.5
TCGA-K7-A6G5-01A 66 years, male, white, stage:Stage I, alive, 512 days 813.8
TCGA-DD-AAEG-01A 59 years, female, asian, stage:Stage I, alive, 719 days 810.7
TCGA-2Y-A9H6-01A 68 years, female, white, stage:Stage I, alive, 357 days 810.5
TCGA-2Y-A9HB-01A 66 years, male, stage:Stage I, alive, 260 days 808.1
TCGA-DD-AAEA-01A 65 years, male, asian, stage:Stage I, alive, 575 days 803.7
TCGA-DD-A3A8-01A 75 years, male, white, stage:Stage II, dead, 11 days 803.4
TCGA-DD-AADL-01A 58 years, male, asian, stage:Stage I, alive, 636 days 798.5
TCGA-DD-A113-01A 55 years, female, white, stage:Stage II, alive, 2425 days 796.1
TCGA-LG-A6GG-01A 79 years, female, white, stage:Stage II, alive, 387 days 794.1
TCGA-T1-A6J8-01A 68 years, male, white, stage:'--, alive, 23 days 779.6
TCGA-DD-AAD0-01A 73 years, female, asian, stage:Stage I, alive, 137 days 778.1
TCGA-DD-A11C-01A 69 years, male, white, stage:Stage I, alive, 662 days 777.9
TCGA-RC-A7SF-01A 66 years, male, asian, stage:Stage I, alive, 579 days 772.2
TCGA-GJ-A9DB-01A 68 years, male, white, stage:Stage I, dead, 67 days 760.3
TCGA-CC-A9FS-01A 55 years, male, asian, stage:Stage II, alive, 211 days 760.2
TCGA-DD-A4NF-01A 72 years, male, white, stage:Stage I, alive, 942 days 754.9
TCGA-BC-A10X-01A 52 years, female, white, stage:Stage IIIA, dead, 770 days 754.6
TCGA-UB-AA0V-01A 69 years, female, white, stage:Stage I, alive, 314 days 754.5
TCGA-DD-A4NE-01A 75 years, female, white, stage:Stage IIIA, dead, 660 days 742.4
TCGA-DD-A4NB-01A 25 years, male, white, stage:Stage I, alive, 989 days 742.0
TCGA-DD-AAW0-01A 54 years, male, asian, stage:Stage I, alive, 2015 days 739.9
TCGA-G3-A5SI-01A 44 years, male, asian, stage:Stage II, dead, 768 days 739.0
TCGA-CC-A3MC-01A 54 years, male, asian, stage:Stage IIIA, alive, 363 days 739.0
TCGA-K7-A5RG-01A 66 years, male, black or african american, stage:Stage I, alive, 519 days 736.4
TCGA-DD-AAC9-01A 51 years, male, asian, stage:Stage I, alive, 347 days 736.2
TCGA-DD-A114-01A 42 years, male, black or african american, stage:Stage II, dead, 1149 days 734.8
TCGA-ED-A4XI-01A 58 years, male, asian, stage:Stage II, alive, 819 days 727.2
TCGA-G3-A3CH-01A 53 years, male, asian, stage:Stage IIIA, alive, 780 days 725.8
TCGA-DD-A4NG-01A 77 years, male, white, stage:Stage IIIA, dead, 802 days 717.2
TCGA-2Y-A9GW-01A 64 years, male, white, stage:Stage I, dead, 1271 days 716.5
TCGA-ZP-A9CV-01A 59 years, male, white, stage:'--, dead, 1088 days 713.6
TCGA-DD-A4ND-01A 56 years, female, white, stage:Stage I, alive, 2746 days 711.7
TCGA-DD-AADK-01A 68 years, female, asian, stage:Stage II, alive, 1049 days 710.2
TCGA-G3-AAV0-01A 58 years, male, asian, stage:Stage I, alive, 476 days 706.3
TCGA-DD-AAEB-01A 60 years, male, asian, stage:Stage I, alive, 478 days 699.4
TCGA-DD-A3A5-01A 66 years, female, white, stage:Stage III, dead, 3125 days 696.2
TCGA-DD-AACT-01A 69 years, female, asian, stage:Stage I, alive, 1562 days 694.7
TCGA-LG-A9QC-01A 48 years, male, white, stage:Stage I, alive, 425 days 691.9
TCGA-GJ-A6C0-01A 75 years, female, white, stage:Stage II, dead, 31 days 690.0
TCGA-DD-A3A4-01A 37 years, male, white, stage:Stage IIIA, dead, 612 days 689.5
TCGA-ES-A2HT-01A 54 years, male, black or african american, stage:Stage I, dead, 438 days 687.1
TCGA-DD-A115-01A 53 years, male, white, stage:Stage IIIA, dead, 2542 days 685.5
TCGA-MI-A75G-01A 63 years, male, white, stage:Stage II, alive, 698 days 684.1
TCGA-G3-A3CI-01A 71 years, male, white, stage:Stage I, alive, 180 days 682.4
TCGA-HP-A5MZ-01A 78 years, male, stage:Stage I, dead, 91 days 680.4
TCGA-CC-A7IF-01A 59 years, male, asian, stage:Stage IIIA, dead, 649 days 671.4
TCGA-FV-A2QR-01A 75 years, male, white, stage:Stage I, dead, 581 days 666.8
TCGA-EP-A12J-01A 62 years, male, black or african american, stage:Stage I, alive, 570 days 658.3
TCGA-DD-A4NV-01A 61 years, male, white, stage:Stage IIIA, alive, 2398 days 651.6
TCGA-DD-A73C-01A 65 years, female, white, stage:Stage IIIA, alive, 701 days 646.9
TCGA-2Y-A9GV-01A 54 years, female, white, stage:Stage I, dead, 2532 days 641.0
TCGA-BD-A3ER-01A 62 years, male, white, stage:Stage II, alive, 1115 days 633.9
TCGA-DD-A1ED-01A 68 years, male, white, stage:Stage I, alive, 2301 days 622.0
TCGA-DD-AADF-01A 64 years, female, asian, stage:Stage I, dead, 115 days 621.1
TCGA-RC-A7SB-01A 53 years, male, asian, stage:Stage II, alive, 588 days 615.2
TCGA-ZP-A9CY-01A 66 years, female, white, stage:'--, alive, 782 days 607.3
TCGA-2Y-A9H9-01A 70 years, male, white, stage:Stage I, alive, 697 days 603.9
TCGA-ZP-A9D1-01A 56 years, female, white, stage:'--, alive, 21 days 599.6
TCGA-DD-A11B-01A 73 years, male, white, stage:Stage I, dead, 14 days 596.0
TCGA-G3-A5SM-01A 58 years, male, white, stage:Stage II, alive, 520 days 593.3
TCGA-DD-A73A-01A 71 years, male, white, stage:Stage I, alive, 728 days 589.5
TCGA-DD-A1EK-01A 64 years, female, white, stage:Stage IVB, dead, 558 days 576.5
TCGA-NI-A4U2-01A 71 years, male, white, stage:Stage IIIA, dead, 1791 days 561.7
TCGA-DD-AAEI-01A 72 years, male, asian, stage:Stage I, alive, 1531 days 561.1
TCGA-LG-A9QD-01A 68 years, male, white, stage:Stage IIIA, alive, 366 days 551.7
TCGA-G3-A7M8-01A 31 years, male, asian, stage:Stage I, alive, 430 days 548.5
TCGA-DD-A73B-01A 72 years, female, white, stage:Stage I, dead, 283 days 545.7
TCGA-DD-A73F-01A 77 years, female, white, stage:Stage I, alive, 1085 days 534.8
TCGA-DD-AAE7-01A 72 years, male, asian, stage:Stage I, alive, 644 days 531.3
TCGA-DD-A11D-01A 57 years, female, white, stage:Stage I, dead, 1560 days 531.0
TCGA-ZS-A9CF-01A 64 years, male, white, stage:Stage II, alive, 2412 days 528.7
TCGA-DD-A3A2-01A 76 years, female, white, stage:Stage I, dead, 2131 days 528.5
TCGA-DD-A1EB-01A 72 years, female, stage:Stage I, alive, 2017 days 528.1
TCGA-2Y-A9H8-01A 85 years, female, white, stage:'--, dead, 633 days 509.0
TCGA-DD-A4NK-01A 80 years, female, white, stage:Stage IIIA, dead, 1210 days 508.0
TCGA-K7-A5RF-01A 64 years, male, white, stage:Stage I, alive, 631 days 503.5
TCGA-MR-A520-01A 58 years, male, white, stage:Stage I, alive, 229 days 485.5
TCGA-G3-A5SK-01A 58 years, male, white, stage:Stage I, alive, 744 days 479.7
TCGA-DD-A4NL-01A 46 years, male, white, stage:Stage I, alive, 1711 days 475.3
TCGA-BC-A10R-01A 66 years, female, white, stage:'--, dead, 308 days 471.7
TCGA-2Y-A9GT-01A 51 years, male, white, stage:Stage I, dead, 1624 days 470.1
TCGA-2Y-A9GU-01A 55 years, female, white, stage:Stage I, alive, 1939 days 460.5
TCGA-DD-A4NI-01A 67 years, male, white, stage:Stage II, alive, 816 days 454.7
TCGA-ZP-A9D0-01A 67 years, female, black or african american, stage:'--, alive, 1091 days 406.8
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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.

RPL23 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.

: 1627.37
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 1766.1
Number of samples 231
Samples
Sample Description pTPM
DO45285 59 years, male, NA, stage:3, alive, 480 days 6759.4
DO50785 37 years, male, NA, stage:4, dead, 90 days 5645.9
DO50814 83 years, male, NA, stage:3, alive, 420 days 5368.5
DO45303 62 years, female, NA, stage:3, alive, 990 days 5152.5
DO45307 54 years, female, NA, stage:4, dead, 240 days 4350.0
DO45189 85 years, female, NA, stage:2, alive, 1200 days 4225.5
DO23545 67 years, male, NA, stage:2, dead, 570 days 4050.6
DO48682 72 years, female, NA, stage:3, dead, 120 days 4036.5
DO23515 71 years, male, NA, stage:2, alive, 1230 days 3896.4
DO45289 78 years, female, NA, stage:3, alive, 360 days 3710.9
DO45127 73 years, male, NA, stage:3, dead, 420 days 3696.2
DO45305 66 years, male, NA, stage:4, alive, 300 days 3640.4
DO23519 65 years, male, NA, stage:3, alive, 630 days 3608.2
DO45193 68 years, female, NA, stage:4, dead, 120 days 3543.3
DO45283 60 years, male, NA, stage:3, alive, 510 days 3489.1
DO23530 53 years, male, NA, stage:4, dead, 180 days 3460.6
DO48747 62 years, male, NA, stage:3, alive, 540 days 3219.5
DO48737 52 years, male, NA, stage:1, alive, 720 days 3182.5
DO45259 65 years, male, NA, stage:3, alive, 330 days 3121.5
DO45251 57 years, female, NA, stage:2, alive, 900 days 3028.8
DO45097 69 years, male, NA, stage:3, alive, 1620 days 2994.3
DO50815 62 years, male, NA, stage:3, alive, 150 days 2967.6
DO45279 67 years, male, NA, stage:3, alive, 1290 days 2844.5
DO50855 47 years, male, NA, stage:2, alive, 570 days 2835.8
DO50859 77 years, male, NA, stage:2, alive, 180 days 2793.1
DO45175 74 years, male, NA, stage:2, alive, 1140 days 2783.8
DO23533 61 years, male, NA, stage:2, alive, 900 days 2776.5
DO48741 64 years, male, NA, stage:3, alive, 240 days 2763.1
DO23526 66 years, male, NA, stage:3, alive, 1050 days 2694.4
DO50806 70 years, male, NA, stage:4, alive, 540 days 2667.1
DO45249 57 years, male, NA, stage:1, alive, 630 days 2659.6
DO45281 83 years, male, NA, stage:4, alive, 750 days 2641.5
DO23521 63 years, male, NA, stage:3, alive, 1110 days 2627.4
DO23536 56 years, male, NA, stage:2, alive, 930 days 2626.6
DO45145 78 years, male, NA, stage:3, dead, 60 days 2619.6
DO48706 72 years, male, NA, stage:2, alive, 870 days 2588.0
DO23528 45 years, female, NA, stage:2, alive, 1020 days 2523.1
DO48723 73 years, male, NA, stage:1, alive, 600 days 2514.9
DO45219 78 years, male, NA, stage:2, alive, 1080 days 2511.8
DO45211 76 years, male, NA, stage:3, alive, 240 days 2501.0
DO45209 70 years, male, NA, stage:4, alive, 1350 days 2479.0
DO48715 58 years, female, NA, stage:2, dead, 690 days 2474.5
DO45287 74 years, male, NA, stage:1, alive, 390 days 2449.3
DO45149 70 years, female, NA, stage:2, alive, 1260 days 2432.7
DO45213 58 years, male, NA, stage:1, alive, 1200 days 2420.8
DO48672 81 years, male, NA, stage:2, alive, 450 days 2408.0
DO48697 64 years, female, NA, stage:2, dead, 810 days 2393.4
DO23508 79 years, female, NA, stage:2, alive, 390 days 2372.0
DO50778 60 years, male, NA, stage:4, alive, 630 days 2361.4
DO45301 56 years, male, NA, stage:2, dead, 1440 days 2349.6
DO45277 64 years, male, NA, stage:3, alive, 600 days 2312.6
DO45163 76 years, male, NA, stage:2, alive, 960 days 2310.7
DO48757 68 years, female, NA, stage:3, alive, 480 days 2295.8
DO48730 73 years, female, NA, stage:2, alive, 630 days 2285.8
DO45273 62 years, male, NA, stage:2, alive, 480 days 2227.6
DO45117 73 years, female, NA, stage:2, dead, 1110 days 2217.7
DO45231 84 years, male, NA, stage:2, alive, 930 days 2209.5
DO45297 61 years, female, NA, stage:4, dead, 1260 days 2207.0
DO45139 63 years, male, NA, stage:3, alive, 1320 days 2188.1
DO45239 42 years, male, NA, stage:2, alive, 870 days 2177.7
DO45253 50 years, male, NA, stage:2, alive, 870 days 2163.5
DO23525 71 years, male, NA, stage:4, alive, 1050 days 2157.9
DO45187 32 years, female, NA, stage:1, alive, 1260 days 2153.7
DO48720 62 years, female, NA, stage:2, alive, 570 days 2144.1
DO45221 75 years, female, NA, stage:4, dead, 390 days 2134.1
DO45247 31 years, female, NA, stage:2, alive, 210 days 2126.5
DO48736 76 years, female, NA, stage:1, alive, 600 days 2108.4
DO45135 77 years, male, NA, stage:1, alive, 1410 days 2085.7
DO48751 68 years, male, NA, stage:2, dead, 480 days 2075.1
DO45299 70 years, female, NA, stage:1, alive, 1440 days 2056.6
DO45173 63 years, male, NA, stage:3, alive, 1170 days 2056.1
DO48732 73 years, male, NA, stage:3, alive, 630 days 2032.2
DO45227 57 years, female, NA, stage:2, alive, 1020 days 2021.2
DO45217 69 years, female, NA, stage:3, dead, 270 days 2020.1
DO50809 56 years, male, NA, stage:3, dead, 720 days 1992.3
DO23516 69 years, male, NA, stage:3, dead, 20 days 1990.5
DO48759 73 years, male, NA, stage:3, alive, 720 days 1987.2
DO45185 89 years, male, NA, stage:2, alive, 600 days 1965.6
DO45205 67 years, female, NA, stage:2, dead, 90 days 1964.0
DO50802 49 years, male, NA, stage:2, alive, 930 days 1963.8
DO45183 72 years, female, NA, stage:2, dead, 570 days 1934.8
DO45095 66 years, male, NA, stage:2, alive, 1620 days 1927.4
DO45103 47 years, male, NA, stage:3, alive, 450 days 1893.6
DO45179 78 years, female, NA, stage:2, alive, 600 days 1871.7
DO45199 86 years, female, NA, stage:2, alive, 1350 days 1867.7
DO45165 75 years, male, NA, stage:2, alive, 690 days 1863.1
DO45161 74 years, male, NA, stage:2, dead, 540 days 1861.0
DO45131 53 years, male, NA, stage:4, dead, 360 days 1860.1
DO23543 63 years, male, NA, stage:2, alive, 1020 days 1851.0
DO45261 74 years, male, NA, stage:3, alive, 990 days 1849.1
DO45119 74 years, male, NA, stage:3, dead, 510 days 1840.7
DO50825 70 years, male, NA, stage:2, alive, 390 days 1837.7
DO45275 65 years, male, NA, stage:3, dead, 10 days 1826.1
DO23537 79 years, male, NA, stage:2, dead, 900 days 1823.7
DO50791 79 years, female, NA, stage:1, dead, 480 days 1775.2
DO50857 72 years, male, NA, stage:2, alive, 210 days 1762.4
DO23542 66 years, male, NA, stage:3, alive, 960 days 1751.5
DO23523 52 years, male, NA, stage:3, alive, 1080 days 1727.3
DO50820 77 years, female, NA, stage:3, alive, 510 days 1717.7
DO45191 61 years, female, NA, stage:2, alive, 1200 days 1705.8
DO45092 62 years, male, NA, stage:4, dead, 1200 days 1689.9
DO50793 76 years, male, NA, stage:4, alive, 540 days 1671.7
DO45141 73 years, male, NA, stage:2, alive, 1320 days 1667.2
DO50811 62 years, male, NA, stage:1, alive, 450 days 1652.5
DO50798 77 years, male, NA, stage:3, dead, 30 days 1630.4
DO50805 72 years, male, NA, stage:2, alive, 690 days 1624.3
DO23549 74 years, male, NA, stage:3, alive, 990 days 1600.6
DO45265 73 years, male, NA, stage:3, alive, 1020 days 1582.9
DO48704 68 years, female, NA, stage:3, alive, 750 days 1576.2
DO48721 58 years, female, NA, stage:1, alive, 900 days 1556.5
DO45157 62 years, male, NA, stage:2, alive, 1980 days 1556.4
DO48712 50 years, male, NA, stage:2, alive, 810 days 1549.6
DO45093 71 years, male, NA, stage:2, dead, 720 days 1548.5
DO50822 66 years, male, NA, stage:2, alive, 510 days 1540.2
DO45237 58 years, male, NA, stage:2, alive, 900 days 1539.6
DO48733 72 years, male, NA, stage:2, alive, 600 days 1532.2
DO23509 60 years, male, NA, stage:3, dead, 780 days 1532.1
DO48681 57 years, male, NA, stage:2, alive, 900 days 1507.8
DO50800 74 years, male, NA, stage:2, alive, 510 days 1506.7
DO50783 62 years, male, NA, stage:3, alive, 480 days 1487.7
DO23546 63 years, male, NA, stage:2, alive, 1050 days 1484.2
DO23511 83 years, female, NA, stage:3, dead, 180 days 1477.4
DO23514 64 years, male, NA, stage:2, alive, 1290 days 1475.1
DO48679 72 years, male, NA, stage:2, alive, 1200 days 1474.9
DO50844 75 years, male, NA, stage:4, alive, 300 days 1472.9
DO48695 77 years, male, NA, stage:2, alive, 720 days 1472.2
DO23541 65 years, male, NA, stage:2, alive, 930 days 1463.4
DO23547 74 years, male, NA, stage:1, alive, 1020 days 1459.5
DO50829 78 years, male, NA, stage:3, alive, 570 days 1407.0
DO45203 71 years, female, NA, stage:2, alive, 1170 days 1401.4
DO45133 64 years, male, NA, stage:3, dead, 660 days 1390.4
DO48728 74 years, female, NA, stage:2, alive, 150 days 1387.6
DO45223 67 years, male, NA, stage:4, alive, 1020 days 1360.2
DO48746 76 years, male, NA, stage:3, alive, 570 days 1359.4
DO50839 47 years, female, NA, stage:3, alive, 330 days 1347.5
DO45171 56 years, male, NA, stage:3, alive, 600 days 1344.6
DO45245 75 years, female, NA, stage:2, dead, 240 days 1342.1
DO48677 58 years, male, NA, stage:3, alive, 1140 days 1338.8
DO45229 74 years, male, NA, stage:1, alive, 990 days 1338.3
DO23513 76 years, male, NA, stage:3, alive, 1200 days 1318.1
DO45255 81 years, male, NA, stage:3, alive, 720 days 1298.1
DO50799 66 years, female, NA, stage:2, alive, 540 days 1286.3
DO45269 59 years, male, NA, stage:3, alive, 750 days 1285.0
DO50813 56 years, male, NA, stage:2, alive, 420 days 1284.5
DO45225 69 years, male, NA, stage:1, alive, 1050 days 1284.4
DO23540 73 years, male, NA, stage:1, alive, 750 days 1280.4
DO45091 56 years, male, NA, stage:2, dead, 1320 days 1276.5
DO48700 78 years, female, NA, stage:2, alive, 810 days 1273.6
DO48719 80 years, male, NA, stage:2, alive, 690 days 1265.7
DO45143 69 years, male, NA, stage:3, alive, 1290 days 1263.3
DO45235 68 years, female, NA, stage:1, alive, 900 days 1243.8
DO45243 74 years, female, NA, stage:3, alive, 930 days 1243.4
DO45177 81 years, female, NA, stage:3, alive, 1260 days 1228.8
DO45123 78 years, female, NA, stage:2, dead, 570 days 1227.2
DO45109 63 years, male, NA, stage:2, alive, 1590 days 1211.0
DO48717 54 years, male, NA, stage:4, dead, 180 days 1208.0
DO50804 81 years, male, NA, stage:2, alive, 720 days 1204.4
DO45113 58 years, male, NA, stage:3, alive, 1560 days 1197.1
DO45181 84 years, female, NA, stage:2, alive, 1200 days 1196.4
DO45201 49 years, male, NA, stage:1, alive, 900 days 1196.4
DO45153 77 years, female, NA, stage:2, alive, 1380 days 1189.6
DO45155 69 years, male, NA, stage:2, alive, 2160 days 1174.1
DO45257 46 years, male, NA, stage:3, alive, 810 days 1171.7
DO45267 73 years, male, NA, stage:3, dead, 570 days 1171.2
DO227801 77 years, female, NA, stage:1, alive, 660 days 1155.9
DO23539 77 years, male, NA, stage:1, alive, 1110 days 1155.4
DO45233 83 years, male, NA, stage:3, alive, 900 days 1149.9
DO45121 61 years, male, NA, stage:3, alive, 1530 days 1148.6
DO48693 71 years, male, NA, stage:2, alive, 900 days 1136.5
DO50818 65 years, male, NA, stage:2, alive, 510 days 1134.2
DO23524 71 years, female, NA, stage:2, alive, 1050 days 1130.0
DO50819 72 years, female, NA, stage:2, alive, 510 days 1115.0
DO50776 75 years, male, NA, stage:1, alive, 690 days 1096.7
DO50832 73 years, male, NA, stage:3, alive, 90 days 1091.0
DO23510 80 years, female, NA, stage:2, alive, 870 days 1087.7
DO45207 68 years, male, NA, stage:1, alive, 1050 days 1078.3
DO227643 79 years, male, NA, stage:2, alive, 1260 days 1056.1
DO48725 66 years, male, NA, stage:1, alive, 780 days 1049.8
DO45137 38 years, male, NA, stage:1, alive, 1320 days 1049.4
DO23534 60 years, male, NA, stage:2, alive, 840 days 1043.4
DO50816 63 years, male, NA, stage:2, alive, 390 days 1038.3
DO50789 73 years, female, NA, stage:2, alive, 570 days 1035.9
DO45096 69 years, male, NA, stage:2, dead, 1290 days 1021.7
DO50787 63 years, male, NA, stage:3, alive, 480 days 1015.3
DO23548 78 years, female, NA, stage:1, alive, 840 days 1014.1
DO45115 81 years, male, NA, stage:2, alive, 840 days 1009.4
DO50850 74 years, male, NA, stage:3, alive, 720 days 1003.8
DO23527 72 years, male, NA, stage:1, alive, 1050 days 969.9
DO23529 72 years, male, NA, stage:4, alive, 930 days 968.8
DO50774 68 years, female, NA, stage:2, alive, 720 days 967.7
DO45159 65 years, male, NA, stage:3, alive, 1470 days 964.8
DO48761 55 years, male, NA, stage:2, alive, 870 days 959.2
DO45169 74 years, male, NA, stage:3, alive, 1350 days 953.1
DO45241 49 years, male, NA, stage:1, alive, 1080 days 940.0
DO23538 67 years, male, NA, stage:2, alive, 450 days 935.0
DO45263 67 years, male, NA, stage:3, dead, 270 days 929.7
DO23535 67 years, male, NA, stage:1, alive, 960 days 928.6
DO23518 67 years, male, NA, stage:2, alive, 1320 days 912.3
DO50845 72 years, male, NA, stage:3, alive, 210 days 909.2
DO48743 69 years, female, NA, stage:2, alive, 570 days 907.9
DO23531 78 years, female, NA, stage:3, alive, 900 days 906.3
DO23551 73 years, male, NA, stage:3, dead, 150 days 903.0
DO48716 71 years, male, NA, stage:2, alive, 720 days 902.5
DO45099 46 years, male, NA, stage:3, alive, 1590 days 893.6
DO45125 58 years, male, NA, stage:3, alive, 1680 days 887.1
DO45129 61 years, male, NA, stage:3, alive, 1470 days 872.3
DO48742 76 years, male, NA, stage:2, alive, 600 days 852.1
DO23550 69 years, male, NA, stage:1, alive, 990 days 848.2
DO45197 51 years, male, NA, stage:2, alive, 1170 days 847.2
DO23544 67 years, male, NA, stage:2, alive, 960 days 837.9
DO48674 80 years, male, NA, stage:2, alive, 1260 days 827.0
DO50803 62 years, female, NA, stage:1, alive, 540 days 812.0
DO50817 75 years, male, NA, stage:2, alive, 390 days 788.5
DO48701 78 years, male, NA, stage:2, alive, 780 days 751.1
DO45094 76 years, male, NA, stage:3, alive, 1650 days 747.3
DO23512 60 years, male, NA, stage:1, alive, 1260 days 744.6
DO50808 68 years, male, NA, stage:2, alive, 570 days 735.0
DO23552 80 years, female, NA, stage:1, alive, 810 days 727.2
DO48727 81 years, female, NA, stage:2, dead, 390 days 724.5
DO48760 70 years, female, NA, stage:2, alive, 690 days 706.2
DO45215 65 years, male, NA, stage:2, alive, 1170 days 641.3
DO45195 62 years, male, NA, stage:1, alive, 390 days 622.3
DO23517 62 years, male, NA, stage:2, alive, 1200 days 617.2
DO50840 49 years, male, NA, stage:2, alive, 330 days 576.1
DO23532 71 years, female, NA, stage:1, alive, 960 days 549.9
DO50807 67 years, male, NA, stage:1, alive, 540 days 523.7
DO45101 63 years, male, NA, stage:2, alive, 1680 days 504.2
DO45111 74 years, male, NA, stage:2, alive, 1590 days 493.3
DO45105 61 years, male, NA, stage:1, alive, 1680 days 483.7
DO45107 63 years, female, NA, stage:2, alive, 1710 days 474.2
DO45167 67 years, male, NA, stage:2, dead, 1440 days 355.2
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LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples 330
Samples
Sample ID Sample type nRPX
557 Tumor 0.4
327 Tumor 0.3
685 Tumor 0.3
537 Tumor 0.3
367 Tumor 0.3
851 Tumor 0.3
567 Tumor 0.3
523 Tumor 0.3
481 Tumor 0.3
965 Tumor 0.2
1021 Tumor 0.2
964 Normal 0.2
955 Tumor 0.2
223 Tumor 0.2
983 Tumor 0.2
815 Tumor 0.2
978 Normal 0.2
227 Tumor 0.2
113 Tumor 0.2
1014 Normal 0.2
937 Tumor 0.2
967 Tumor 0.2
353 Tumor 0.2
984 Normal 0.2
944 Normal 0.2
285 Tumor 0.2
331 Tumor 0.2
1046 Normal 0.2
958 Normal 0.2
212 Normal 0.2
864 Normal 0.2
912 Normal 0.2
777 Tumor 0.2
228 Normal 0.2
926 Normal 0.2
968 Normal 0.2
482 Normal 0.2
743 Tumor 0.2
286 Normal 0.2
1027 Tumor 0.2
514 Normal 0.2
517 Tumor 0.1
966 Normal 0.1
452 Normal 0.1
721 Tumor 0.1
756 Normal 0.1
267 Tumor 0.1
526 Normal 0.1
862 Normal 0.1
131 Tumor 0.1
393 Tumor 0.1
467 Tumor 0.1
1042 Normal 0.1
284 Normal 0.1
976 Normal 0.1
982 Normal 0.1
696 Normal 0.1
1044 Normal 0.1
858 Normal 0.1
525 Tumor 0.1
698 Normal 0.1
172 Normal 0.1
824 Normal 0.1
922 Normal 0.1
1016 Normal 0.1
818 Normal 0.1
518 Normal 0.1
395 Tumor 0.1
746 Normal 0.1
866 Normal 0.1
722 Normal 0.1
745 Tumor 0.1
728 Normal 0.1
1026 Normal 0.1
136 Normal 0.1
515 Tumor 0.1
314 Normal 0.1
778 Normal 0.1
786 Normal 0.1
412 Normal 0.1
356 Normal 0.1
738 Normal 0.1
416 Normal 0.1
448 Normal 0.1
938 Normal 0.1
1025 Tumor 0.1
494 Normal 0.1
516 Normal 0.1
636 Normal 0.1
572 Normal 0.1
817 Tumor 0.1
135 Tumor 0.1
1022 Normal 0.1
951 Tumor 0.1
865 Tumor 0.1
713 Tumor 0.1
392 Normal 0.1
232 Normal 0.1
1015 Tumor 0.1
462 Normal 0.1
258 Normal 0.1
661 Tumor 0.1
443 Tumor 0.1
568 Normal 0.1
952 Normal 0.1
918 Normal 0.1
186 Normal 0.1
363 Tumor 0.1
981 Tumor 0.1
328 Normal 0.1
214 Normal 0.1
358 Normal 0.1
571 Tumor 0.1
524 Normal 0.1
513 Tumor 0.1
497 Tumor 0.1
364 Normal 0.1
162 Normal 0.1
128 Normal 0.1
716 Normal 0.0
957 Tumor 0.0
332 Normal 0.0
868 Normal 0.0
142 Normal 0.0
472 Normal 0.0
257 Tumor 0.0
742 Normal 0.0
488 Normal 0.0
727 Tumor 0.0
953 Tumor 0.0
714 Normal 0.0
528 Normal 0.0
785 Tumor 0.0
394 Normal 0.0
466 Normal 0.0
414 Normal 0.0
222 Normal 0.0
573 Tumor 0.0
873 Tumor 0.0
737 Tumor 0.0
558 Normal 0.0
852 Normal 0.0
484 Normal 0.0
426 Normal 0.0
478 Normal 0.0
171 Tumor 0.0
187 Tumor 0.0
963 Tumor 0.0
925 Tumor 0.0
413 Tumor 0.0
376 Normal 0.0
421 Tumor 0.0
723 Tumor 0.0
196 Normal 0.0
816 Normal 0.0
916 Normal 0.0
913 Tumor 0.0
616 Normal 0.0
224 Normal 0.0
617 Tumor 0.0
724 Normal 0.0
877 Tumor 0.0
112 Tumor 0.0
271 Tumor 0.0
527 Tumor 0.0
535 Tumor 0.0
132 Normal 0.0
923 Tumor 0.0
686 Normal 0.0
715 Tumor 0.0
474 Normal 0.0
436 Normal 0.0
493 Tumor 0.0
145 Tumor 0.0
534 Normal 0.0
1032 Normal 0.0
422 Normal 0.0
697 Tumor 0.0
628 Normal 0.0
867 Tumor 0.0
666 Normal 0.0
218 Normal 0.0
354 Normal 0.0
387 Tumor 0.0
956 Normal 0.0
124 Normal 0.0
342 Normal 0.0
298 Normal 0.0
473 Tumor 0.0
111 Normal 0.0
424 Normal 0.0
468 Normal 0.0
1028 Normal 0.0
664 Normal 0.0
415 Tumor 0.0
114 Normal 0.0
564 Normal 0.0
195 Tumor 0.0
546 Normal 0.0
975 Tumor 0.0
231 Tumor 0.0
272 Normal 0.0
432 Normal 0.0
755 Tumor 0.0
278 Normal 0.0
411 Tumor 0.0
425 Tumor 0.0
213 Tumor 0.0
554 Normal 0.0
823 Tumor 0.0
456 Normal 0.0
924 Normal 0.0
662 Normal 0.0
148 Normal 0.0
396 Normal 0.0
137 Tumor 0.0
465 Tumor 0.0
352 Normal 0.0
648 Normal 0.0
261 Tumor -0.1
451 Tumor -0.1
1041 Tumor -0.1
672 Normal -0.1
857 Tumor -0.1
914 Normal -0.1
954 Normal -0.1
536 Normal -0.1
878 Normal -0.1
874 Normal -0.1
882 Normal -0.1
574 Normal -0.1
618 Normal -0.1
312 Normal -0.1
464 Normal -0.1
188 Normal -0.1
545 Tumor -0.1
446 Normal -0.1
147 Tumor -0.1
385 Tumor -0.1
351 Tumor -0.1
388 Normal -0.1
861 Tumor -0.1
217 Tumor -0.1
368 Normal -0.1
533 Tumor -0.1
455 Tumor -0.1
146 Normal -0.1
471 Tumor -0.1
1043 Tumor -0.1
884 Normal -0.1
191 Tumor -0.1
386 Normal -0.1
362 Normal -0.1
277 Tumor -0.1
123 Tumor -0.1
355 Tumor -0.1
671 Tumor -0.1
447 Tumor -0.1
262 Normal -0.1
428 Normal -0.1
1031 Tumor -0.1
344 Normal -0.1
138 Normal -0.1
427 Tumor -0.1
881 Tumor -0.1
538 Normal -0.1
161 Tumor -0.1
813 Tumor -0.1
492 Normal -0.1
375 Tumor -0.1
423 Tumor -0.1
434 Normal -0.1
744 Normal -0.1
921 Tumor -0.1
553 Tumor -0.1
211 Tumor -0.1
221 Tumor -0.1
883 Tumor -0.1
127 Tumor -0.1
642 Normal -0.1
283 Tumor -0.1
433 Tumor -0.1
384 Normal -0.1
461 Tumor -0.1
615 Tumor -0.1
126 Normal -0.1
814 Normal -0.1
498 Normal -0.1
943 Tumor -0.1
863 Tumor -0.1
125 Tumor -0.1
915 Tumor -0.2
431 Tumor -0.2
268 Normal -0.2
366 Normal -0.2
185 Tumor -0.2
635 Tumor -0.2
463 Tumor -0.2
435 Tumor -0.2
695 Tumor -0.2
977 Tumor -0.2
365 Tumor -0.2
391 Tumor -0.2
444 Normal -0.2
297 Tumor -0.2
483 Tumor -0.2
1045 Tumor -0.2
563 Tumor -0.2
313 Tumor -0.2
1013 Tumor -0.2
341 Tumor -0.2
477 Tumor -0.2
361 Tumor -0.2
665 Tumor -0.2
445 Tumor -0.2
487 Tumor -0.2
917 Tumor -0.2
663 Tumor -0.2
141 Tumor -0.2
911 Tumor -0.2
192 Normal -0.2
647 Tumor -0.3
491 Tumor -0.3
741 Tumor -0.3
357 Tumor -0.3
343 Tumor -0.3
641 Tumor -0.3
627 Tumor -0.3
383 Tumor -0.3
311 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 HPA003373
 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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