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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.
RPS6 is potential 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
1457.9
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
8937.3
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
5886.1
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
4523.4
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
4366.9
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
4203.4
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
4202.5
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
3950.4
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
3878.4
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
3774.9
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
3771.2
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
3743.1
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
3705.6
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
3696.6
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
3607.1
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
3533.0
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
3502.5
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
3464.6
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
3357.2
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
3302.2
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
3197.8
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
3143.9
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
3103.2
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
3102.7
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
2916.8
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
2847.0
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
2764.6
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
2761.0
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
2758.2
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
2749.1
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
2694.8
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
2681.5
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
2631.6
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
2621.0
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
2589.9
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
2564.1
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
2515.9
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
2509.1
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
2486.8
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
2485.1
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
2474.9
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
2466.7
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
2419.7
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
2413.2
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
2409.1
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
2403.0
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
2327.2
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
2323.1
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
2298.0
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
2285.9
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
2273.1
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
2269.5
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
2268.0
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
2262.9
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
2250.6
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
2167.9
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
2159.7
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
2157.6
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
2155.3
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
2130.6
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
2121.7
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
2115.4
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
2115.4
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
2099.4
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
2099.1
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
2076.0
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
2050.8
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
2050.3
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
2048.7
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
2003.9
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
1978.2
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1957.0
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1945.5
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
1934.9
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
1926.1
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
1919.8
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
1916.0
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
1908.7
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1895.1
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
1874.5
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1868.0
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1837.8
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
1826.2
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
1816.9
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
1803.2
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1786.1
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1775.8
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1772.0
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1759.3
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1757.5
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1715.7
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
1710.2
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
1681.9
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1679.7
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
1676.4
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1671.3
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
1671.1
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
1669.1
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
1661.3
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
1659.2
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1654.0
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
1640.3
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1628.9
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
1617.7
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1610.8
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
1606.7
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
1597.8
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1589.9
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
1585.1
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1566.0
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
1565.6
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1555.3
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1547.4
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
1546.2
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
1542.9
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1542.1
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1520.0
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
1511.7
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1509.2
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
1508.9
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
1498.2
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1478.7
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1478.4
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
1478.0
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1477.9
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1477.0
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1472.8
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
1469.2
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1466.6
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
1465.4
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1465.0
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1447.8
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1441.3
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
1430.7
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1430.7
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1425.5
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1421.3
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
1421.1
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1414.4
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1413.8
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1406.8
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
1403.5
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1400.9
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1400.1
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1397.1
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1388.3
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1387.7
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1384.0
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1383.4
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
1366.2
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
1357.3
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1355.9
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1351.8
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
1347.4
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1347.1
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1336.6
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1333.8
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1332.3
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1327.5
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1326.5
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1324.9
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1316.1
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
1308.4
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
1303.3
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
1300.9
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1295.0
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1293.0
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
1292.2
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1285.1
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1281.8
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1276.9
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
1276.6
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
1271.7
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1269.7
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1265.3
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1253.1
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
1238.0
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
1236.4
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1235.9
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
1230.6
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
1228.2
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1225.6
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
1218.5
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1217.5
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1211.2
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
1210.3
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1205.7
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
1203.5
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1202.5
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1201.3
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
1199.6
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
1191.6
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
1187.0
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1186.2
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
1182.4
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1181.0
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1181.0
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1178.0
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
1166.2
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1165.4
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
1161.2
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
1157.6
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
1155.9
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1152.4
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
1151.6
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
1144.3
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
1139.2
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1125.1
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
1124.8
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
1122.1
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1114.8
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1111.6
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
1106.8
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1099.7
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1097.0
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1095.8
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1093.5
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1093.4
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
1082.7
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
1072.8
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
1071.8
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
1065.1
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
1061.0
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
1059.8
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1056.1
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
1038.3
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
1038.3
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
1035.6
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
1030.4
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
1022.0
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1022.0
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1016.9
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
1016.8
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1013.7
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
1011.8
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
1011.1
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
1007.1
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
1004.1
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
996.2
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
993.7
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
993.3
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
992.2
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
984.6
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
973.4
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
969.7
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
966.0
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
963.2
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
961.8
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
957.8
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
947.0
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
943.2
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
939.6
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
937.9
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
936.4
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
930.0
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
929.6
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
925.6
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
921.6
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
921.4
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
919.7
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
917.8
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
902.9
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
898.2
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
890.1
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
885.5
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
879.2
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
878.2
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
877.3
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
872.7
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
869.2
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
868.8
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
864.9
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
863.8
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
861.1
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
861.1
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
852.8
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
847.3
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
844.3
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
831.5
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
830.8
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
828.2
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
827.2
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
823.5
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
810.8
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
806.3
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
801.2
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
799.6
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
791.3
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
790.5
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
788.1
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
786.0
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
783.7
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
780.3
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
779.5
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
776.0
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
775.3
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
773.9
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
770.8
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
770.6
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
765.4
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
764.8
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
757.6
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
749.4
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
744.1
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
734.9
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
733.1
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
732.4
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
731.8
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
727.4
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
726.4
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
723.9
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
719.7
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
718.0
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
717.8
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
713.0
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
709.2
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
708.4
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
707.2
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
689.4
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
680.9
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
680.6
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
680.1
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
676.5
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
669.7
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
665.5
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
663.0
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
662.4
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
657.0
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
653.7
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
650.1
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
647.7
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
643.9
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
637.0
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
631.8
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
626.8
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
626.8
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
626.3
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
619.1
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
617.3
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
613.7
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
610.7
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
599.2
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
598.8
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
591.1
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
584.7
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
581.9
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
580.3
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
575.4
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
572.5
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
563.7
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
551.9
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
543.9
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
542.2
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
542.0
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
529.8
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
518.3
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
508.9
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
507.2
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
505.9
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
497.4
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
487.3
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
479.7
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 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.
RPS6 is not prognostic 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
2155.6
Number of samples
231
Samples
Sample
Description
pTPM
DO45283
60 years, male, NA, stage:3, alive, 510 days
9160.0
DO45259
65 years, male, NA, stage:3, alive, 330 days
8751.0
DO45303
62 years, female, NA, stage:3, alive, 990 days
7521.2
DO45189
85 years, female, NA, stage:2, alive, 1200 days
6111.7
DO45251
57 years, female, NA, stage:2, alive, 900 days
5905.2
DO23519
65 years, male, NA, stage:3, alive, 630 days
5841.3
DO45279
67 years, male, NA, stage:3, alive, 1290 days
5503.0
DO48737
52 years, male, NA, stage:1, alive, 720 days
5383.9
DO48682
72 years, female, NA, stage:3, dead, 120 days
5319.7
DO50815
62 years, male, NA, stage:3, alive, 150 days
4831.8
DO45209
70 years, male, NA, stage:4, alive, 1350 days
4790.0
DO45221
75 years, female, NA, stage:4, dead, 390 days
4745.0
DO45307
54 years, female, NA, stage:4, dead, 240 days
4422.3
DO23525
71 years, male, NA, stage:4, alive, 1050 days
4248.4
DO23530
53 years, male, NA, stage:4, dead, 180 days
4130.2
DO50855
47 years, male, NA, stage:2, alive, 570 days
4078.3
DO45145
78 years, male, NA, stage:3, dead, 60 days
4056.9
DO45287
74 years, male, NA, stage:1, alive, 390 days
4032.7
DO23515
71 years, male, NA, stage:2, alive, 1230 days
4013.1
DO45247
31 years, female, NA, stage:2, alive, 210 days
3991.6
DO45193
68 years, female, NA, stage:4, dead, 120 days
3895.8
DO48730
73 years, female, NA, stage:2, alive, 630 days
3820.0
DO45285
59 years, male, NA, stage:3, alive, 480 days
3720.4
DO23545
67 years, male, NA, stage:2, dead, 570 days
3512.0
DO48757
68 years, female, NA, stage:3, alive, 480 days
3432.6
DO45093
71 years, male, NA, stage:2, dead, 720 days
3382.1
DO45097
69 years, male, NA, stage:3, alive, 1620 days
3363.4
DO48715
58 years, female, NA, stage:2, dead, 690 days
3355.2
DO50814
83 years, male, NA, stage:3, alive, 420 days
3347.9
DO45173
63 years, male, NA, stage:3, alive, 1170 days
3323.6
DO45299
70 years, female, NA, stage:1, alive, 1440 days
3314.9
DO48747
62 years, male, NA, stage:3, alive, 540 days
3299.7
DO45127
73 years, male, NA, stage:3, dead, 420 days
3283.3
DO23516
69 years, male, NA, stage:3, dead, 20 days
3247.0
DO50859
77 years, male, NA, stage:2, alive, 180 days
3244.2
DO23521
63 years, male, NA, stage:3, alive, 1110 days
3189.6
DO50799
66 years, female, NA, stage:2, alive, 540 days
3175.8
DO23528
45 years, female, NA, stage:2, alive, 1020 days
3102.5
DO45187
32 years, female, NA, stage:1, alive, 1260 days
3092.9
DO45281
83 years, male, NA, stage:4, alive, 750 days
3088.0
DO45191
61 years, female, NA, stage:2, alive, 1200 days
3086.0
DO45231
84 years, male, NA, stage:2, alive, 930 days
3057.3
DO45289
78 years, female, NA, stage:3, alive, 360 days
3027.9
DO45249
57 years, male, NA, stage:1, alive, 630 days
3021.4
DO50844
75 years, male, NA, stage:4, alive, 300 days
3004.1
DO45183
72 years, female, NA, stage:2, dead, 570 days
2989.2
DO48751
68 years, male, NA, stage:2, dead, 480 days
2936.0
DO45213
58 years, male, NA, stage:1, alive, 1200 days
2910.1
DO45261
74 years, male, NA, stage:3, alive, 990 days
2869.7
DO45237
58 years, male, NA, stage:2, alive, 900 days
2842.6
DO48736
76 years, female, NA, stage:1, alive, 600 days
2819.1
DO45305
66 years, male, NA, stage:4, alive, 300 days
2815.9
DO23508
79 years, female, NA, stage:2, alive, 390 days
2811.6
DO50793
76 years, male, NA, stage:4, alive, 540 days
2787.5
DO50785
37 years, male, NA, stage:4, dead, 90 days
2775.8
DO23542
66 years, male, NA, stage:3, alive, 960 days
2770.8
DO48723
73 years, male, NA, stage:1, alive, 600 days
2768.7
DO45165
75 years, male, NA, stage:2, alive, 690 days
2734.3
DO45103
47 years, male, NA, stage:3, alive, 450 days
2708.5
DO45275
65 years, male, NA, stage:3, dead, 10 days
2636.4
DO45205
67 years, female, NA, stage:2, dead, 90 days
2615.9
DO45141
73 years, male, NA, stage:2, alive, 1320 days
2607.2
DO45175
74 years, male, NA, stage:2, alive, 1140 days
2569.9
DO23533
61 years, male, NA, stage:2, alive, 900 days
2541.6
DO45157
62 years, male, NA, stage:2, alive, 1980 days
2534.1
DO23523
52 years, male, NA, stage:3, alive, 1080 days
2533.1
DO50791
79 years, female, NA, stage:1, dead, 480 days
2481.5
DO45203
71 years, female, NA, stage:2, alive, 1170 days
2477.2
DO45273
62 years, male, NA, stage:2, alive, 480 days
2440.3
DO48672
81 years, male, NA, stage:2, alive, 450 days
2437.3
DO45185
89 years, male, NA, stage:2, alive, 600 days
2414.3
DO50802
49 years, male, NA, stage:2, alive, 930 days
2393.1
DO45253
50 years, male, NA, stage:2, alive, 870 days
2376.5
DO45239
42 years, male, NA, stage:2, alive, 870 days
2349.6
DO45243
74 years, female, NA, stage:3, alive, 930 days
2325.3
DO23547
74 years, male, NA, stage:1, alive, 1020 days
2320.2
DO45277
64 years, male, NA, stage:3, alive, 600 days
2270.5
DO45095
66 years, male, NA, stage:2, alive, 1620 days
2269.4
DO50809
56 years, male, NA, stage:3, dead, 720 days
2267.7
DO45267
73 years, male, NA, stage:3, dead, 570 days
2243.2
DO50857
72 years, male, NA, stage:2, alive, 210 days
2242.7
DO50778
60 years, male, NA, stage:4, alive, 630 days
2241.8
DO45297
61 years, female, NA, stage:4, dead, 1260 days
2223.2
DO50822
66 years, male, NA, stage:2, alive, 510 days
2221.7
DO45135
77 years, male, NA, stage:1, alive, 1410 days
2193.3
DO45217
69 years, female, NA, stage:3, dead, 270 days
2189.4
DO48697
64 years, female, NA, stage:2, dead, 810 days
2185.1
DO45131
53 years, male, NA, stage:4, dead, 360 days
2158.0
DO45219
78 years, male, NA, stage:2, alive, 1080 days
2155.8
DO50811
62 years, male, NA, stage:1, alive, 450 days
2150.7
DO45163
76 years, male, NA, stage:2, alive, 960 days
2142.0
DO50820
77 years, female, NA, stage:3, alive, 510 days
2137.5
DO48732
73 years, male, NA, stage:3, alive, 630 days
2131.6
DO45269
59 years, male, NA, stage:3, alive, 750 days
2124.0
DO50798
77 years, male, NA, stage:3, dead, 30 days
2121.9
DO45241
49 years, male, NA, stage:1, alive, 1080 days
2088.6
DO45139
63 years, male, NA, stage:3, alive, 1320 days
2084.1
DO45161
74 years, male, NA, stage:2, dead, 540 days
2078.1
DO50806
70 years, male, NA, stage:4, alive, 540 days
2044.6
DO45113
58 years, male, NA, stage:3, alive, 1560 days
2027.0
DO23549
74 years, male, NA, stage:3, alive, 990 days
2024.0
DO23546
63 years, male, NA, stage:2, alive, 1050 days
1995.9
DO23543
63 years, male, NA, stage:2, alive, 1020 days
1966.9
DO50800
74 years, male, NA, stage:2, alive, 510 days
1955.9
DO45121
61 years, male, NA, stage:3, alive, 1530 days
1950.8
DO48677
58 years, male, NA, stage:3, alive, 1140 days
1938.7
DO48720
62 years, female, NA, stage:2, alive, 570 days
1929.8
DO48728
74 years, female, NA, stage:2, alive, 150 days
1907.0
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1884.6
DO45179
78 years, female, NA, stage:2, alive, 600 days
1875.2
DO45257
46 years, male, NA, stage:3, alive, 810 days
1868.9
DO48727
81 years, female, NA, stage:2, dead, 390 days
1858.6
DO45199
86 years, female, NA, stage:2, alive, 1350 days
1837.9
DO23536
56 years, male, NA, stage:2, alive, 930 days
1836.3
DO48725
66 years, male, NA, stage:1, alive, 780 days
1829.7
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1810.0
DO50829
78 years, male, NA, stage:3, alive, 570 days
1791.3
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1775.6
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1766.8
DO50805
72 years, male, NA, stage:2, alive, 690 days
1765.5
DO45263
67 years, male, NA, stage:3, dead, 270 days
1760.4
DO23526
66 years, male, NA, stage:3, alive, 1050 days
1757.8
DO48733
72 years, male, NA, stage:2, alive, 600 days
1739.3
DO45117
73 years, female, NA, stage:2, dead, 1110 days
1735.0
DO45265
73 years, male, NA, stage:3, alive, 1020 days
1710.8
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1708.6
DO45171
56 years, male, NA, stage:3, alive, 600 days
1703.5
DO23548
78 years, female, NA, stage:1, alive, 840 days
1702.9
DO48759
73 years, male, NA, stage:3, alive, 720 days
1699.2
DO45149
70 years, female, NA, stage:2, alive, 1260 days
1698.6
DO45201
49 years, male, NA, stage:1, alive, 900 days
1695.1
DO23524
71 years, female, NA, stage:2, alive, 1050 days
1672.7
DO45255
81 years, male, NA, stage:3, alive, 720 days
1651.2
DO45211
76 years, male, NA, stage:3, alive, 240 days
1621.2
DO45301
56 years, male, NA, stage:2, dead, 1440 days
1615.9
DO23513
76 years, male, NA, stage:3, alive, 1200 days
1590.3
DO23537
79 years, male, NA, stage:2, dead, 900 days
1587.3
DO45181
84 years, female, NA, stage:2, alive, 1200 days
1583.4
DO48717
54 years, male, NA, stage:4, dead, 180 days
1575.0
DO48719
80 years, male, NA, stage:2, alive, 690 days
1563.4
DO23511
83 years, female, NA, stage:3, dead, 180 days
1562.6
DO45235
68 years, female, NA, stage:1, alive, 900 days
1558.7
DO48746
76 years, male, NA, stage:3, alive, 570 days
1546.6
DO45123
78 years, female, NA, stage:2, dead, 570 days
1540.7
DO23529
72 years, male, NA, stage:4, alive, 930 days
1529.3
DO45233
83 years, male, NA, stage:3, alive, 900 days
1526.7
DO45169
74 years, male, NA, stage:3, alive, 1350 days
1519.7
DO50804
81 years, male, NA, stage:2, alive, 720 days
1518.6
DO45223
67 years, male, NA, stage:4, alive, 1020 days
1510.0
DO50813
56 years, male, NA, stage:2, alive, 420 days
1492.6
DO45229
74 years, male, NA, stage:1, alive, 990 days
1492.1
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1466.5
DO50816
63 years, male, NA, stage:2, alive, 390 days
1461.1
DO48700
78 years, female, NA, stage:2, alive, 810 days
1455.7
DO48706
72 years, male, NA, stage:2, alive, 870 days
1447.6
DO48693
71 years, male, NA, stage:2, alive, 900 days
1399.2
DO48695
77 years, male, NA, stage:2, alive, 720 days
1389.9
DO45227
57 years, female, NA, stage:2, alive, 1020 days
1387.2
DO23540
73 years, male, NA, stage:1, alive, 750 days
1382.9
DO50783
62 years, male, NA, stage:3, alive, 480 days
1366.8
DO50850
74 years, male, NA, stage:3, alive, 720 days
1361.9
DO23538
67 years, male, NA, stage:2, alive, 450 days
1349.3
DO45125
58 years, male, NA, stage:3, alive, 1680 days
1344.1
DO23535
67 years, male, NA, stage:1, alive, 960 days
1342.6
DO50787
63 years, male, NA, stage:3, alive, 480 days
1341.7
DO227643
79 years, male, NA, stage:2, alive, 1260 days
1330.8
DO45207
68 years, male, NA, stage:1, alive, 1050 days
1323.2
DO48712
50 years, male, NA, stage:2, alive, 810 days
1318.2
DO45119
74 years, male, NA, stage:3, dead, 510 days
1271.0
DO45109
63 years, male, NA, stage:2, alive, 1590 days
1267.5
DO23541
65 years, male, NA, stage:2, alive, 930 days
1267.1
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1249.6
DO227801
77 years, female, NA, stage:1, alive, 660 days
1244.0
DO50817
75 years, male, NA, stage:2, alive, 390 days
1242.5
DO45129
61 years, male, NA, stage:3, alive, 1470 days
1240.1
DO45096
69 years, male, NA, stage:2, dead, 1290 days
1227.0
DO23512
60 years, male, NA, stage:1, alive, 1260 days
1226.1
DO48704
68 years, female, NA, stage:3, alive, 750 days
1221.3
DO45115
81 years, male, NA, stage:2, alive, 840 days
1217.5
DO50825
70 years, male, NA, stage:2, alive, 390 days
1216.3
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1213.3
DO45099
46 years, male, NA, stage:3, alive, 1590 days
1204.6
DO23517
62 years, male, NA, stage:2, alive, 1200 days
1196.8
DO23551
73 years, male, NA, stage:3, dead, 150 days
1176.0
DO45155
69 years, male, NA, stage:2, alive, 2160 days
1172.4
DO48761
55 years, male, NA, stage:2, alive, 870 days
1168.1
DO23531
78 years, female, NA, stage:3, alive, 900 days
1164.4
DO23509
60 years, male, NA, stage:3, dead, 780 days
1162.8
DO50840
49 years, male, NA, stage:2, alive, 330 days
1152.0
DO23510
80 years, female, NA, stage:2, alive, 870 days
1148.8
DO45101
63 years, male, NA, stage:2, alive, 1680 days
1147.5
DO50789
73 years, female, NA, stage:2, alive, 570 days
1144.5
DO45215
65 years, male, NA, stage:2, alive, 1170 days
1132.8
DO45133
64 years, male, NA, stage:3, dead, 660 days
1130.1
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1120.1
DO23544
67 years, male, NA, stage:2, alive, 960 days
1095.9
DO23527
72 years, male, NA, stage:1, alive, 1050 days
1077.8
DO50807
67 years, male, NA, stage:1, alive, 540 days
1058.9
DO48681
57 years, male, NA, stage:2, alive, 900 days
1048.3
DO45091
56 years, male, NA, stage:2, dead, 1320 days
1046.3
DO50839
47 years, female, NA, stage:3, alive, 330 days
1029.1
DO50819
72 years, female, NA, stage:2, alive, 510 days
1018.7
DO50803
62 years, female, NA, stage:1, alive, 540 days
1006.6
DO48742
76 years, male, NA, stage:2, alive, 600 days
970.7
DO50818
65 years, male, NA, stage:2, alive, 510 days
955.0
DO48701
78 years, male, NA, stage:2, alive, 780 days
946.4
DO50845
72 years, male, NA, stage:3, alive, 210 days
945.9
DO45094
76 years, male, NA, stage:3, alive, 1650 days
944.9
DO45245
75 years, female, NA, stage:2, dead, 240 days
927.8
DO48721
58 years, female, NA, stage:1, alive, 900 days
927.1
DO45197
51 years, male, NA, stage:2, alive, 1170 days
919.5
DO45137
38 years, male, NA, stage:1, alive, 1320 days
913.2
DO48674
80 years, male, NA, stage:2, alive, 1260 days
902.5
DO23550
69 years, male, NA, stage:1, alive, 990 days
899.2
DO50776
75 years, male, NA, stage:1, alive, 690 days
889.6
DO23518
67 years, male, NA, stage:2, alive, 1320 days
864.7
DO48741
64 years, male, NA, stage:3, alive, 240 days
841.8
DO50774
68 years, female, NA, stage:2, alive, 720 days
821.3
DO48716
71 years, male, NA, stage:2, alive, 720 days
819.0
DO45107
63 years, female, NA, stage:2, alive, 1710 days
811.8
DO48760
70 years, female, NA, stage:2, alive, 690 days
810.9
DO48743
69 years, female, NA, stage:2, alive, 570 days
806.7
DO45195
62 years, male, NA, stage:1, alive, 390 days
803.7
DO23532
71 years, female, NA, stage:1, alive, 960 days
802.6
DO23552
80 years, female, NA, stage:1, alive, 810 days
779.4
DO45111
74 years, male, NA, stage:2, alive, 1590 days
773.6
DO23534
60 years, male, NA, stage:2, alive, 840 days
739.3
DO50808
68 years, male, NA, stage:2, alive, 570 days
669.0
DO45105
61 years, male, NA, stage:1, alive, 1680 days
657.8
DO45167
67 years, male, NA, stage:2, dead, 1440 days
619.8
DO50832
73 years, male, NA, stage:3, alive, 90 days
470.5
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
537
Tumor
0.7
557
Tumor
0.7
367
Tumor
0.5
1021
Tumor
0.5
567
Tumor
0.5
327
Tumor
0.5
965
Tumor
0.4
937
Tumor
0.4
285
Tumor
0.4
815
Tumor
0.4
131
Tumor
0.4
957
Tumor
0.4
393
Tumor
0.4
685
Tumor
0.3
523
Tumor
0.3
951
Tumor
0.3
533
Tumor
0.3
413
Tumor
0.3
1027
Tumor
0.3
727
Tumor
0.3
545
Tumor
0.3
743
Tumor
0.3
661
Tumor
0.3
983
Tumor
0.3
851
Tumor
0.2
535
Tumor
0.2
573
Tumor
0.2
473
Tumor
0.2
967
Tumor
0.2
1025
Tumor
0.2
697
Tumor
0.2
385
Tumor
0.2
223
Tumor
0.2
135
Tumor
0.2
355
Tumor
0.2
471
Tumor
0.2
467
Tumor
0.2
525
Tumor
0.2
113
Tumor
0.2
527
Tumor
0.2
395
Tumor
0.2
955
Tumor
0.2
331
Tumor
0.2
745
Tumor
0.2
953
Tumor
0.2
865
Tumor
0.2
267
Tumor
0.2
353
Tumor
0.2
497
Tumor
0.2
387
Tumor
0.2
554
Normal
0.2
777
Tumor
0.2
981
Tumor
0.2
715
Tumor
0.2
431
Tumor
0.1
778
Normal
0.1
517
Tumor
0.1
427
Tumor
0.1
421
Tumor
0.1
1031
Tumor
0.1
755
Tumor
0.1
443
Tumor
0.1
923
Tumor
0.1
257
Tumor
0.1
351
Tumor
0.1
938
Normal
0.1
536
Normal
0.1
966
Normal
0.1
737
Tumor
0.1
756
Normal
0.1
227
Tumor
0.1
448
Normal
0.1
187
Tumor
0.1
518
Normal
0.1
617
Tumor
0.1
1015
Tumor
0.1
817
Tumor
0.1
724
Normal
0.1
451
Tumor
0.1
136
Normal
0.1
546
Normal
0.1
445
Tumor
0.1
696
Normal
0.1
785
Tumor
0.1
1026
Normal
0.1
918
Normal
0.1
412
Normal
0.1
746
Normal
0.1
231
Tumor
0.1
922
Normal
0.1
943
Tumor
0.1
477
Tumor
0.1
515
Tumor
0.1
952
Normal
0.1
524
Normal
0.1
411
Tumor
0.1
1043
Tumor
0.1
214
Normal
0.1
695
Tumor
0.0
375
Tumor
0.0
392
Normal
0.0
195
Tumor
0.0
211
Tumor
0.0
636
Normal
0.0
452
Normal
0.0
944
Normal
0.0
434
Normal
0.0
516
Normal
0.0
111
Normal
0.0
864
Normal
0.0
862
Normal
0.0
861
Tumor
0.0
553
Tumor
0.0
171
Tumor
0.0
647
Tumor
0.0
455
Tumor
0.0
963
Tumor
0.0
913
Tumor
0.0
147
Tumor
0.0
873
Tumor
0.0
161
Tumor
0.0
538
Normal
0.0
124
Normal
0.0
185
Tumor
0.0
425
Tumor
0.0
137
Tumor
0.0
926
Normal
0.0
915
Tumor
0.0
128
Normal
0.0
526
Normal
0.0
213
Tumor
0.0
686
Normal
0.0
142
Normal
0.0
145
Tumor
0.0
433
Tumor
0.0
436
Normal
0.0
435
Tumor
0.0
534
Normal
0.0
1028
Normal
0.0
172
Normal
0.0
465
Tumor
0.0
358
Normal
0.0
823
Tumor
0.0
493
Tumor
0.0
1016
Normal
0.0
1013
Tumor
0.0
474
Normal
0.0
492
Normal
0.0
186
Normal
0.0
571
Tumor
0.0
212
Normal
0.0
271
Tumor
0.0
162
Normal
0.0
342
Normal
0.0
878
Normal
0.0
975
Tumor
0.0
362
Normal
0.0
114
Normal
0.0
1014
Normal
0.0
968
Normal
0.0
721
Tumor
0.0
916
Normal
0.0
218
Normal
0.0
1041
Tumor
0.0
463
Tumor
0.0
365
Tumor
0.0
1022
Normal
0.0
466
Normal
0.0
394
Normal
0.0
423
Tumor
0.0
376
Normal
0.0
484
Normal
0.0
924
Normal
0.0
261
Tumor
0.0
447
Tumor
0.0
738
Normal
0.0
368
Normal
0.0
344
Normal
0.0
723
Tumor
0.0
698
Normal
0.0
112
Tumor
0.0
283
Tumor
0.0
852
Normal
0.0
956
Normal
-0.1
258
Normal
-0.1
866
Normal
-0.1
786
Normal
-0.1
461
Tumor
-0.1
356
Normal
-0.1
363
Tumor
-0.1
1046
Normal
-0.1
742
Normal
-0.1
141
Tumor
-0.1
462
Normal
-0.1
228
Normal
-0.1
314
Normal
-0.1
481
Tumor
-0.1
921
Tumor
-0.1
964
Normal
-0.1
925
Tumor
-0.1
132
Normal
-0.1
357
Tumor
-0.1
558
Normal
-0.1
857
Tumor
-0.1
272
Normal
-0.1
881
Tumor
-0.1
232
Normal
-0.1
262
Normal
-0.1
221
Tumor
-0.1
977
Tumor
-0.1
222
Normal
-0.1
483
Tumor
-0.1
618
Normal
-0.1
286
Normal
-0.1
146
Normal
-0.1
816
Normal
-0.1
422
Normal
-0.1
196
Normal
-0.1
488
Normal
-0.1
984
Normal
-0.1
446
Normal
-0.1
917
Tumor
-0.1
138
Normal
-0.1
396
Normal
-0.1
883
Tumor
-0.1
1032
Normal
-0.1
277
Tumor
-0.1
313
Tumor
-0.1
386
Normal
-0.1
728
Normal
-0.1
352
Normal
-0.1
958
Normal
-0.1
568
Normal
-0.1
982
Normal
-0.1
343
Tumor
-0.1
432
Normal
-0.1
716
Normal
-0.1
814
Normal
-0.1
297
Tumor
-0.1
663
Tumor
-0.1
628
Normal
-0.1
813
Tumor
-0.1
662
Normal
-0.1
217
Tumor
-0.1
877
Tumor
-0.1
824
Normal
-0.1
914
Normal
-0.1
713
Tumor
-0.1
978
Normal
-0.1
1042
Normal
-0.1
867
Tumor
-0.1
284
Normal
-0.1
514
Normal
-0.1
572
Normal
-0.1
564
Normal
-0.1
882
Normal
-0.1
1044
Normal
-0.1
976
Normal
-0.1
332
Normal
-0.1
298
Normal
-0.1
188
Normal
-0.1
664
Normal
-0.1
328
Normal
-0.1
414
Normal
-0.1
513
Tumor
-0.1
366
Normal
-0.1
341
Tumor
-0.1
563
Tumor
-0.2
858
Normal
-0.2
125
Tumor
-0.2
954
Normal
-0.2
615
Tumor
-0.2
364
Normal
-0.2
744
Normal
-0.2
388
Normal
-0.2
361
Tumor
-0.2
616
Normal
-0.2
148
Normal
-0.2
487
Tumor
-0.2
123
Tumor
-0.2
574
Normal
-0.2
278
Normal
-0.2
642
Normal
-0.2
648
Normal
-0.2
494
Normal
-0.2
468
Normal
-0.2
126
Normal
-0.2
312
Normal
-0.2
472
Normal
-0.2
635
Tumor
-0.2
911
Tumor
-0.2
464
Normal
-0.2
191
Tumor
-0.2
874
Normal
-0.2
671
Tumor
-0.2
415
Tumor
-0.2
444
Normal
-0.2
354
Normal
-0.2
224
Normal
-0.2
426
Normal
-0.2
1045
Tumor
-0.2
528
Normal
-0.2
722
Normal
-0.2
478
Normal
-0.2
383
Tumor
-0.2
127
Tumor
-0.2
391
Tumor
-0.2
884
Normal
-0.2
912
Normal
-0.2
268
Normal
-0.2
665
Tumor
-0.3
672
Normal
-0.3
666
Normal
-0.3
428
Normal
-0.3
491
Tumor
-0.3
714
Normal
-0.3
424
Normal
-0.3
456
Normal
-0.3
863
Tumor
-0.3
868
Normal
-0.3
384
Normal
-0.3
311
Tumor
-0.3
741
Tumor
-0.3
416
Normal
-0.3
627
Tumor
-0.3
641
Tumor
-0.4
498
Normal
-0.4
192
Normal
-0.4
482
Normal
-0.4
818
Normal
-0.5
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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.