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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.
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.
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
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.
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.
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
Show allShow less
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
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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.