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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.
RPS7 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
1284.1
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
4779.3
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
4546.7
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
4074.9
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
3862.1
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
3689.1
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
3455.6
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
3381.1
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
3180.2
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
3154.0
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
3055.2
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
3040.3
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
2977.5
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
2926.7
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
2917.1
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
2842.8
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
2809.7
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
2716.7
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
2692.4
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
2640.1
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
2613.0
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
2584.4
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
2554.2
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
2550.5
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
2517.7
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
2509.8
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
2460.8
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
2445.0
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
2436.7
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
2391.5
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
2383.1
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
2327.8
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
2296.5
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
2290.1
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
2273.8
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
2238.8
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
2230.8
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
2228.8
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
2226.0
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
2214.6
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
2206.6
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
2194.2
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
2176.6
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
2154.4
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
2126.3
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
2119.4
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
2088.3
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
2085.7
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
2023.7
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
2022.5
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
1973.7
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
1951.4
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
1938.8
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1936.3
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
1927.3
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
1925.8
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1889.3
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
1889.0
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1887.4
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1881.7
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1837.9
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
1833.2
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
1822.4
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1818.8
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1816.1
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
1809.3
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1790.3
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1786.6
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
1777.5
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1768.0
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1767.4
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
1758.6
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
1734.3
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1709.8
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
1695.2
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1668.7
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1644.6
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1638.6
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1614.2
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
1606.8
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
1595.6
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
1584.9
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
1583.3
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
1566.2
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1563.3
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1548.9
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
1548.0
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
1533.5
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1527.7
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1527.0
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
1523.3
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
1523.1
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1499.9
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
1488.8
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1483.8
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
1481.6
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
1467.4
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1442.3
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1440.0
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
1435.1
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1434.2
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
1425.3
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
1424.8
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1420.0
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1413.4
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
1405.7
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
1397.1
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
1389.7
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
1386.1
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
1381.0
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1365.5
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1360.6
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1354.4
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
1348.8
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1343.3
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1340.2
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1339.5
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
1330.3
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1330.3
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1321.0
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1317.5
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
1316.9
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1316.3
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1309.3
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
1309.1
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
1297.8
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
1295.6
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1289.8
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1289.5
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1288.8
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
1278.3
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1278.0
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1271.8
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
1259.0
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
1250.7
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1242.0
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
1237.1
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
1235.8
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
1234.4
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1229.9
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1228.8
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1225.9
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
1225.2
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
1224.2
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
1209.5
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
1207.9
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1204.9
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
1200.4
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1199.7
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1199.3
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
1197.2
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1196.2
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1195.0
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1188.0
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1181.6
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
1171.4
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
1166.9
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1162.4
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1162.2
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
1161.0
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1157.1
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
1155.5
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1150.7
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1149.8
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1144.3
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1141.4
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
1134.2
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1134.0
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
1131.1
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1130.9
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
1127.2
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
1126.1
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
1125.6
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
1123.5
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
1115.2
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
1113.8
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1105.6
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1100.5
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1085.7
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
1084.5
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
1080.4
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1079.6
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1074.7
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1074.6
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
1074.3
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
1074.2
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1071.0
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
1069.0
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
1066.7
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1065.0
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1055.5
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
1054.7
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1053.1
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1052.4
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
1051.6
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
1049.6
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1044.5
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
1039.3
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1034.2
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1029.1
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1028.6
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1023.1
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1020.0
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1018.9
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1010.9
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1007.9
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
1003.2
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1000.4
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
995.8
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
993.5
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
992.7
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
985.7
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
982.2
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
981.0
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
978.6
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
977.7
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
973.1
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
972.1
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
970.2
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
969.1
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
952.1
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
952.1
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
943.8
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
942.9
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
937.1
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
935.9
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
934.0
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
930.3
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
927.9
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
926.3
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
924.0
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
923.9
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
922.5
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
917.8
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
917.6
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
913.2
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
911.6
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
910.3
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
910.3
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
907.5
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
903.2
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
902.5
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
897.4
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
897.1
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
892.2
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
892.1
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
889.2
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
888.7
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
887.0
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
886.5
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
886.1
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
884.3
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
879.8
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
879.2
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
878.3
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
877.0
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
874.4
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
874.0
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
873.9
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
869.6
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
868.7
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
861.5
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
860.8
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
848.6
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
846.6
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
842.2
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
840.8
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
840.2
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
839.3
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
838.7
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
837.2
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
835.4
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
832.9
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
832.4
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
828.5
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
827.9
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
824.4
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
819.8
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
819.8
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
818.2
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
817.8
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
814.1
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
813.9
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
812.3
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
809.5
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
808.8
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
808.7
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
804.3
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
804.0
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
798.8
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
791.7
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
789.5
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
788.0
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
786.1
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
786.0
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
782.0
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
778.2
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
775.7
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
772.0
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
768.2
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
765.8
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
758.0
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
753.8
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
747.8
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
745.7
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
741.9
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
734.2
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
731.3
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
731.3
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
730.9
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
716.2
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
712.9
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
711.9
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
710.3
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
708.4
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
705.7
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
702.4
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
701.0
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
697.6
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
687.8
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
686.4
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
676.9
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
676.2
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
669.3
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
668.4
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
665.3
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
655.4
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
648.9
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
646.9
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
643.7
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
635.6
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
630.0
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
627.4
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
623.3
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
621.9
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
618.5
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
617.0
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
597.9
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
594.6
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
585.3
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
580.5
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
572.6
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
567.5
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
562.4
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
562.2
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
556.5
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
554.7
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
552.4
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
551.7
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
550.2
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
543.9
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
539.8
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
532.3
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
517.8
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
509.4
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
503.1
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
474.0
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
472.3
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
470.9
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
443.6
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
441.4
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
436.2
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 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.
RPS7 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
1679.0
Number of samples
231
Samples
Sample
Description
pTPM
DO50785
37 years, male, NA, stage:4, dead, 90 days
5035.2
DO45193
68 years, female, NA, stage:4, dead, 120 days
4589.9
DO45259
65 years, male, NA, stage:3, alive, 330 days
4151.6
DO50815
62 years, male, NA, stage:3, alive, 150 days
4023.2
DO45217
69 years, female, NA, stage:3, dead, 270 days
3681.4
DO45093
71 years, male, NA, stage:2, dead, 720 days
3630.4
DO23519
65 years, male, NA, stage:3, alive, 630 days
3608.8
DO45283
60 years, male, NA, stage:3, alive, 510 days
3523.1
DO50809
56 years, male, NA, stage:3, dead, 720 days
3486.8
DO23521
63 years, male, NA, stage:3, alive, 1110 days
3422.6
DO45189
85 years, female, NA, stage:2, alive, 1200 days
3333.5
DO45237
58 years, male, NA, stage:2, alive, 900 days
3330.7
DO45267
73 years, male, NA, stage:3, dead, 570 days
3297.4
DO23526
66 years, male, NA, stage:3, alive, 1050 days
3273.4
DO45209
70 years, male, NA, stage:4, alive, 1350 days
3159.1
DO48747
62 years, male, NA, stage:3, alive, 540 days
3075.9
DO45251
57 years, female, NA, stage:2, alive, 900 days
3043.0
DO48681
57 years, male, NA, stage:2, alive, 900 days
3041.6
DO45285
59 years, male, NA, stage:3, alive, 480 days
3037.1
DO48727
81 years, female, NA, stage:2, dead, 390 days
2985.1
DO48737
52 years, male, NA, stage:1, alive, 720 days
2984.6
DO23515
71 years, male, NA, stage:2, alive, 1230 days
2961.2
DO45145
78 years, male, NA, stage:3, dead, 60 days
2933.2
DO45127
73 years, male, NA, stage:3, dead, 420 days
2835.7
DO23516
69 years, male, NA, stage:3, dead, 20 days
2754.9
DO45307
54 years, female, NA, stage:4, dead, 240 days
2724.7
DO45305
66 years, male, NA, stage:4, alive, 300 days
2710.1
DO23530
53 years, male, NA, stage:4, dead, 180 days
2673.0
DO23543
63 years, male, NA, stage:2, alive, 1020 days
2667.9
DO45289
78 years, female, NA, stage:3, alive, 360 days
2657.6
DO23508
79 years, female, NA, stage:2, alive, 390 days
2609.2
DO48682
72 years, female, NA, stage:3, dead, 120 days
2601.2
DO48672
81 years, male, NA, stage:2, alive, 450 days
2598.9
DO45303
62 years, female, NA, stage:3, alive, 990 days
2542.2
DO48751
68 years, male, NA, stage:2, dead, 480 days
2526.1
DO50859
77 years, male, NA, stage:2, alive, 180 days
2506.4
DO23525
71 years, male, NA, stage:4, alive, 1050 days
2498.6
DO45287
74 years, male, NA, stage:1, alive, 390 days
2486.3
DO23545
67 years, male, NA, stage:2, dead, 570 days
2478.8
DO45213
58 years, male, NA, stage:1, alive, 1200 days
2456.9
DO45221
75 years, female, NA, stage:4, dead, 390 days
2433.0
DO45173
63 years, male, NA, stage:3, alive, 1170 days
2431.3
DO23511
83 years, female, NA, stage:3, dead, 180 days
2419.8
DO50799
66 years, female, NA, stage:2, alive, 540 days
2384.1
DO45297
61 years, female, NA, stage:4, dead, 1260 days
2312.8
DO45269
59 years, male, NA, stage:3, alive, 750 days
2310.3
DO45219
78 years, male, NA, stage:2, alive, 1080 days
2304.2
DO50814
83 years, male, NA, stage:3, alive, 420 days
2299.7
DO50806
70 years, male, NA, stage:4, alive, 540 days
2285.3
DO48730
73 years, female, NA, stage:2, alive, 630 days
2280.0
DO50855
47 years, male, NA, stage:2, alive, 570 days
2262.1
DO45161
74 years, male, NA, stage:2, dead, 540 days
2254.4
DO23528
45 years, female, NA, stage:2, alive, 1020 days
2253.4
DO45185
89 years, male, NA, stage:2, alive, 600 days
2233.8
DO45253
50 years, male, NA, stage:2, alive, 870 days
2211.0
DO45249
57 years, male, NA, stage:1, alive, 630 days
2174.5
DO45239
42 years, male, NA, stage:2, alive, 870 days
2166.6
DO45273
62 years, male, NA, stage:2, alive, 480 days
2161.7
DO45247
31 years, female, NA, stage:2, alive, 210 days
2157.7
DO23537
79 years, male, NA, stage:2, dead, 900 days
2152.2
DO45203
71 years, female, NA, stage:2, alive, 1170 days
2150.5
DO48697
64 years, female, NA, stage:2, dead, 810 days
2140.1
DO48715
58 years, female, NA, stage:2, dead, 690 days
2115.8
DO45103
47 years, male, NA, stage:3, alive, 450 days
2106.4
DO48757
68 years, female, NA, stage:3, alive, 480 days
2105.4
DO45211
76 years, male, NA, stage:3, alive, 240 days
2072.4
DO48706
72 years, male, NA, stage:2, alive, 870 days
2070.6
DO50825
70 years, male, NA, stage:2, alive, 390 days
2031.4
DO50844
75 years, male, NA, stage:4, alive, 300 days
2021.6
DO48723
73 years, male, NA, stage:1, alive, 600 days
2016.2
DO45165
75 years, male, NA, stage:2, alive, 690 days
2015.7
DO45199
86 years, female, NA, stage:2, alive, 1350 days
2000.5
DO23540
73 years, male, NA, stage:1, alive, 750 days
1933.3
DO45183
72 years, female, NA, stage:2, dead, 570 days
1923.9
DO45275
65 years, male, NA, stage:3, dead, 10 days
1915.4
DO50791
79 years, female, NA, stage:1, dead, 480 days
1879.3
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1852.9
DO45191
61 years, female, NA, stage:2, alive, 1200 days
1850.4
DO45299
70 years, female, NA, stage:1, alive, 1440 days
1829.5
DO45135
77 years, male, NA, stage:1, alive, 1410 days
1821.1
DO45131
53 years, male, NA, stage:4, dead, 360 days
1817.0
DO45277
64 years, male, NA, stage:3, alive, 600 days
1798.4
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1795.4
DO45205
67 years, female, NA, stage:2, dead, 90 days
1789.8
DO23542
66 years, male, NA, stage:3, alive, 960 days
1789.6
DO45149
70 years, female, NA, stage:2, alive, 1260 days
1785.3
DO48712
50 years, male, NA, stage:2, alive, 810 days
1780.4
DO45281
83 years, male, NA, stage:4, alive, 750 days
1767.9
DO45187
32 years, female, NA, stage:1, alive, 1260 days
1747.9
DO45279
67 years, male, NA, stage:3, alive, 1290 days
1745.4
DO48717
54 years, male, NA, stage:4, dead, 180 days
1721.8
DO50793
76 years, male, NA, stage:4, alive, 540 days
1721.6
DO50811
62 years, male, NA, stage:1, alive, 450 days
1716.2
DO48736
76 years, female, NA, stage:1, alive, 600 days
1692.4
DO23533
61 years, male, NA, stage:2, alive, 900 days
1686.2
DO23524
71 years, female, NA, stage:2, alive, 1050 days
1664.0
DO45261
74 years, male, NA, stage:3, alive, 990 days
1656.3
DO23546
63 years, male, NA, stage:2, alive, 1050 days
1654.6
DO45265
73 years, male, NA, stage:3, alive, 1020 days
1651.0
DO23510
80 years, female, NA, stage:2, alive, 870 days
1616.6
DO48720
62 years, female, NA, stage:2, alive, 570 days
1609.8
DO23549
74 years, male, NA, stage:3, alive, 990 days
1603.6
DO45117
73 years, female, NA, stage:2, dead, 1110 days
1600.6
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1600.4
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1596.6
DO45301
56 years, male, NA, stage:2, dead, 1440 days
1593.4
DO50818
65 years, male, NA, stage:2, alive, 510 days
1592.5
DO45201
49 years, male, NA, stage:1, alive, 900 days
1589.5
DO50840
49 years, male, NA, stage:2, alive, 330 days
1573.7
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1552.8
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1551.1
DO50805
72 years, male, NA, stage:2, alive, 690 days
1542.5
DO50820
77 years, female, NA, stage:3, alive, 510 days
1539.4
DO48721
58 years, female, NA, stage:1, alive, 900 days
1536.6
DO48759
73 years, male, NA, stage:3, alive, 720 days
1531.3
DO45179
78 years, female, NA, stage:2, alive, 600 days
1524.6
DO48732
73 years, male, NA, stage:3, alive, 630 days
1514.9
DO45223
67 years, male, NA, stage:4, alive, 1020 days
1512.8
DO23523
52 years, male, NA, stage:3, alive, 1080 days
1475.2
DO45121
61 years, male, NA, stage:3, alive, 1530 days
1473.3
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1470.8
DO48700
78 years, female, NA, stage:2, alive, 810 days
1467.7
DO45231
84 years, male, NA, stage:2, alive, 930 days
1461.4
DO50802
49 years, male, NA, stage:2, alive, 930 days
1455.0
DO50778
60 years, male, NA, stage:4, alive, 630 days
1454.2
DO45257
46 years, male, NA, stage:3, alive, 810 days
1444.5
DO45137
38 years, male, NA, stage:1, alive, 1320 days
1439.3
DO23513
76 years, male, NA, stage:3, alive, 1200 days
1436.8
DO45097
69 years, male, NA, stage:3, alive, 1620 days
1423.8
DO48725
66 years, male, NA, stage:1, alive, 780 days
1420.9
DO50829
78 years, male, NA, stage:3, alive, 570 days
1410.6
DO45119
74 years, male, NA, stage:3, dead, 510 days
1408.3
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1406.6
DO23547
74 years, male, NA, stage:1, alive, 1020 days
1404.6
DO50804
81 years, male, NA, stage:2, alive, 720 days
1379.9
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1365.6
DO45229
74 years, male, NA, stage:1, alive, 990 days
1364.6
DO23536
56 years, male, NA, stage:2, alive, 930 days
1355.9
DO48728
74 years, female, NA, stage:2, alive, 150 days
1355.2
DO45263
67 years, male, NA, stage:3, dead, 270 days
1345.4
DO48741
64 years, male, NA, stage:3, alive, 240 days
1330.4
DO45243
74 years, female, NA, stage:3, alive, 930 days
1311.4
DO48733
72 years, male, NA, stage:2, alive, 600 days
1294.5
DO50813
56 years, male, NA, stage:2, alive, 420 days
1285.8
DO50789
73 years, female, NA, stage:2, alive, 570 days
1275.5
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1271.0
DO50798
77 years, male, NA, stage:3, dead, 30 days
1252.8
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1244.3
DO23548
78 years, female, NA, stage:1, alive, 840 days
1243.7
DO45096
69 years, male, NA, stage:2, dead, 1290 days
1238.2
DO50850
74 years, male, NA, stage:3, alive, 720 days
1234.3
DO50822
66 years, male, NA, stage:2, alive, 510 days
1219.0
DO45113
58 years, male, NA, stage:3, alive, 1560 days
1218.4
DO48719
80 years, male, NA, stage:2, alive, 690 days
1205.2
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1202.7
DO45233
83 years, male, NA, stage:3, alive, 900 days
1201.4
DO48716
71 years, male, NA, stage:2, alive, 720 days
1196.6
DO45091
56 years, male, NA, stage:2, dead, 1320 days
1163.9
DO50800
74 years, male, NA, stage:2, alive, 510 days
1163.8
DO48746
76 years, male, NA, stage:3, alive, 570 days
1155.8
DO23534
60 years, male, NA, stage:2, alive, 840 days
1141.5
DO45171
56 years, male, NA, stage:3, alive, 600 days
1131.7
DO50816
63 years, male, NA, stage:2, alive, 390 days
1129.5
DO45125
58 years, male, NA, stage:3, alive, 1680 days
1127.1
DO45245
75 years, female, NA, stage:2, dead, 240 days
1124.4
DO45163
76 years, male, NA, stage:2, alive, 960 days
1121.1
DO45169
74 years, male, NA, stage:3, alive, 1350 days
1119.6
DO48695
77 years, male, NA, stage:2, alive, 720 days
1110.7
DO45123
78 years, female, NA, stage:2, dead, 570 days
1108.2
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1083.0
DO50817
75 years, male, NA, stage:2, alive, 390 days
1053.7
DO48693
71 years, male, NA, stage:2, alive, 900 days
1044.0
DO48677
58 years, male, NA, stage:3, alive, 1140 days
1017.4
DO50774
68 years, female, NA, stage:2, alive, 720 days
1010.6
DO48701
78 years, male, NA, stage:2, alive, 780 days
999.9
DO48704
68 years, female, NA, stage:3, alive, 750 days
989.4
DO45109
63 years, male, NA, stage:2, alive, 1590 days
978.6
DO45207
68 years, male, NA, stage:1, alive, 1050 days
976.9
DO23512
60 years, male, NA, stage:1, alive, 1260 days
972.8
DO50808
68 years, male, NA, stage:2, alive, 570 days
958.6
DO48743
69 years, female, NA, stage:2, alive, 570 days
953.7
DO50783
62 years, male, NA, stage:3, alive, 480 days
953.7
DO227801
77 years, female, NA, stage:1, alive, 660 days
953.6
DO45181
84 years, female, NA, stage:2, alive, 1200 days
945.2
DO50857
72 years, male, NA, stage:2, alive, 210 days
943.8
DO45255
81 years, male, NA, stage:3, alive, 720 days
936.3
DO23541
65 years, male, NA, stage:2, alive, 930 days
919.7
DO48679
72 years, male, NA, stage:2, alive, 1200 days
916.4
DO50776
75 years, male, NA, stage:1, alive, 690 days
914.2
DO50807
67 years, male, NA, stage:1, alive, 540 days
897.0
DO45115
81 years, male, NA, stage:2, alive, 840 days
890.3
DO50832
73 years, male, NA, stage:3, alive, 90 days
889.1
DO50787
63 years, male, NA, stage:3, alive, 480 days
882.1
DO48761
55 years, male, NA, stage:2, alive, 870 days
879.1
DO48760
70 years, female, NA, stage:2, alive, 690 days
874.6
DO45155
69 years, male, NA, stage:2, alive, 2160 days
874.2
DO23535
67 years, male, NA, stage:1, alive, 960 days
837.6
DO45099
46 years, male, NA, stage:3, alive, 1590 days
832.8
DO23544
67 years, male, NA, stage:2, alive, 960 days
829.8
DO45105
61 years, male, NA, stage:1, alive, 1680 days
826.4
DO23529
72 years, male, NA, stage:4, alive, 930 days
822.7
DO23509
60 years, male, NA, stage:3, dead, 780 days
802.6
DO227643
79 years, male, NA, stage:2, alive, 1260 days
796.0
DO45215
65 years, male, NA, stage:2, alive, 1170 days
793.8
DO50839
47 years, female, NA, stage:3, alive, 330 days
779.7
DO23517
62 years, male, NA, stage:2, alive, 1200 days
755.3
DO45159
65 years, male, NA, stage:3, alive, 1470 days
755.1
DO50819
72 years, female, NA, stage:2, alive, 510 days
743.5
DO45101
63 years, male, NA, stage:2, alive, 1680 days
741.1
DO23552
80 years, female, NA, stage:1, alive, 810 days
730.4
DO45235
68 years, female, NA, stage:1, alive, 900 days
729.1
DO23518
67 years, male, NA, stage:2, alive, 1320 days
723.9
DO48674
80 years, male, NA, stage:2, alive, 1260 days
722.1
DO23531
78 years, female, NA, stage:3, alive, 900 days
717.0
DO23551
73 years, male, NA, stage:3, dead, 150 days
709.4
DO23532
71 years, female, NA, stage:1, alive, 960 days
695.4
DO23538
67 years, male, NA, stage:2, alive, 450 days
691.5
DO23550
69 years, male, NA, stage:1, alive, 990 days
679.9
DO50803
62 years, female, NA, stage:1, alive, 540 days
663.7
DO23527
72 years, male, NA, stage:1, alive, 1050 days
662.6
DO45133
64 years, male, NA, stage:3, dead, 660 days
629.6
DO48742
76 years, male, NA, stage:2, alive, 600 days
627.2
DO50845
72 years, male, NA, stage:3, alive, 210 days
611.5
DO45195
62 years, male, NA, stage:1, alive, 390 days
599.8
DO45227
57 years, female, NA, stage:2, alive, 1020 days
586.5
DO45094
76 years, male, NA, stage:3, alive, 1650 days
570.4
DO45111
74 years, male, NA, stage:2, alive, 1590 days
554.6
DO45107
63 years, female, NA, stage:2, alive, 1710 days
496.6
DO45197
51 years, male, NA, stage:2, alive, 1170 days
469.1
DO45129
61 years, male, NA, stage:3, alive, 1470 days
450.7
DO45167
67 years, male, NA, stage:2, dead, 1440 days
434.2
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
113
Tumor
0.6
128
Normal
0.4
537
Tumor
0.4
557
Tumor
0.4
112
Tumor
0.3
114
Normal
0.3
285
Tumor
0.3
111
Normal
0.3
127
Tumor
0.3
124
Normal
0.3
331
Tumor
0.3
1027
Tumor
0.3
567
Tumor
0.2
497
Tumor
0.2
1021
Tumor
0.2
126
Normal
0.2
467
Tumor
0.2
223
Tumor
0.2
957
Tumor
0.2
367
Tumor
0.2
965
Tumor
0.2
311
Tumor
0.2
327
Tumor
0.2
636
Normal
0.2
983
Tumor
0.2
481
Tumor
0.2
944
Normal
0.2
967
Tumor
0.2
227
Tumor
0.2
332
Normal
0.2
724
Normal
0.2
727
Tumor
0.2
387
Tumor
0.2
573
Tumor
0.2
937
Tumor
0.2
488
Normal
0.2
145
Tumor
0.2
353
Tumor
0.2
926
Normal
0.2
685
Tumor
0.1
393
Tumor
0.1
231
Tumor
0.1
443
Tumor
0.1
478
Normal
0.1
617
Tumor
0.1
351
Tumor
0.1
123
Tumor
0.1
395
Tumor
0.1
524
Normal
0.1
1025
Tumor
0.1
955
Tumor
0.1
195
Tumor
0.1
352
Normal
0.1
222
Normal
0.1
385
Tumor
0.1
938
Normal
0.1
267
Tumor
0.1
978
Normal
0.1
125
Tumor
0.1
922
Normal
0.1
492
Normal
0.1
981
Tumor
0.1
966
Normal
0.1
413
Tumor
0.1
472
Normal
0.1
526
Normal
0.1
136
Normal
0.1
191
Tumor
0.1
284
Normal
0.1
135
Tumor
0.1
196
Normal
0.1
525
Tumor
0.1
958
Normal
0.1
312
Normal
0.1
212
Normal
0.1
713
Tumor
0.1
262
Normal
0.1
286
Normal
0.1
951
Tumor
0.1
142
Normal
0.1
953
Tumor
0.1
494
Normal
0.1
493
Tumor
0.1
214
Normal
0.1
228
Normal
0.1
432
Normal
0.1
355
Tumor
0.1
536
Normal
0.1
221
Tumor
0.1
297
Tumor
0.1
964
Normal
0.1
517
Tumor
0.1
447
Tumor
0.0
363
Tumor
0.0
446
Normal
0.0
514
Normal
0.0
473
Tumor
0.0
523
Tumor
0.0
482
Normal
0.0
661
Tumor
0.0
545
Tumor
0.0
132
Normal
0.0
616
Normal
0.0
527
Tumor
0.0
728
Normal
0.0
923
Tumor
0.0
257
Tumor
0.0
696
Normal
0.0
918
Normal
0.0
414
Normal
0.0
723
Tumor
0.0
963
Tumor
0.0
558
Normal
0.0
518
Normal
0.0
968
Normal
0.0
546
Normal
0.0
162
Normal
0.0
298
Normal
0.0
278
Normal
0.0
851
Tumor
0.0
138
Normal
0.0
533
Tumor
0.0
976
Normal
0.0
484
Normal
0.0
217
Tumor
0.0
435
Tumor
0.0
445
Tumor
0.0
864
Normal
0.0
232
Normal
0.0
356
Normal
0.0
394
Normal
0.0
342
Normal
0.0
1026
Normal
0.0
925
Tumor
0.0
444
Normal
0.0
314
Normal
0.0
628
Normal
0.0
1014
Normal
0.0
283
Tumor
0.0
743
Tumor
0.0
777
Tumor
0.0
261
Tumor
0.0
535
Tumor
0.0
272
Normal
0.0
146
Normal
0.0
218
Normal
0.0
391
Tumor
0.0
424
Normal
0.0
528
Normal
0.0
131
Tumor
0.0
815
Tumor
0.0
924
Normal
0.0
666
Normal
0.0
483
Tumor
0.0
358
Normal
0.0
462
Normal
0.0
756
Normal
0.0
425
Tumor
0.0
1032
Normal
0.0
516
Normal
0.0
468
Normal
0.0
451
Tumor
0.0
662
Normal
0.0
956
Normal
0.0
912
Normal
0.0
738
Normal
0.0
491
Tumor
0.0
943
Tumor
0.0
376
Normal
0.0
466
Normal
0.0
954
Normal
0.0
715
Tumor
0.0
137
Tumor
0.0
515
Tumor
-0.1
187
Tumor
-0.1
618
Normal
-0.1
952
Normal
-0.1
422
Normal
-0.1
362
Normal
-0.1
737
Tumor
-0.1
431
Tumor
-0.1
268
Normal
-0.1
1031
Tumor
-0.1
858
Normal
-0.1
224
Normal
-0.1
697
Tumor
-0.1
916
Normal
-0.1
878
Normal
-0.1
873
Tumor
-0.1
434
Normal
-0.1
436
Normal
-0.1
984
Normal
-0.1
474
Normal
-0.1
392
Normal
-0.1
428
Normal
-0.1
258
Normal
-0.1
421
Tumor
-0.1
982
Normal
-0.1
344
Normal
-0.1
534
Normal
-0.1
868
Normal
-0.1
1015
Tumor
-0.1
877
Tumor
-0.1
571
Tumor
-0.1
412
Normal
-0.1
433
Tumor
-0.1
824
Normal
-0.1
778
Normal
-0.1
213
Tumor
-0.1
915
Tumor
-0.1
411
Tumor
-0.1
564
Normal
-0.1
465
Tumor
-0.1
882
Normal
-0.1
554
Normal
-0.1
714
Normal
-0.1
388
Normal
-0.1
1042
Normal
-0.1
745
Tumor
-0.1
328
Normal
-0.1
914
Normal
-0.1
463
Tumor
-0.1
686
Normal
-0.1
615
Tumor
-0.1
464
Normal
-0.1
448
Normal
-0.1
816
Normal
-0.1
568
Normal
-0.1
977
Tumor
-0.1
172
Normal
-0.1
1044
Normal
-0.1
368
Normal
-0.1
354
Normal
-0.1
455
Tumor
-0.1
572
Normal
-0.1
716
Normal
-0.1
866
Normal
-0.1
861
Tumor
-0.1
471
Tumor
-0.1
563
Tumor
-0.1
147
Tumor
-0.1
755
Tumor
-0.1
513
Tumor
-0.1
498
Normal
-0.1
426
Normal
-0.1
1016
Normal
-0.1
186
Normal
-0.1
671
Tumor
-0.1
823
Tumor
-0.1
313
Tumor
-0.1
427
Tumor
-0.1
648
Normal
-0.1
384
Normal
-0.1
862
Normal
-0.1
386
Normal
-0.1
913
Tumor
-0.1
742
Normal
-0.1
1046
Normal
-0.1
664
Normal
-0.1
396
Normal
-0.1
975
Tumor
-0.1
865
Tumor
-0.1
1013
Tumor
-0.1
722
Normal
-0.1
921
Tumor
-0.2
647
Tumor
-0.2
881
Tumor
-0.2
818
Normal
-0.2
343
Tumor
-0.2
785
Tumor
-0.2
375
Tumor
-0.2
364
Normal
-0.2
188
Normal
-0.2
1022
Normal
-0.2
884
Normal
-0.2
1028
Normal
-0.2
452
Normal
-0.2
211
Tumor
-0.2
148
Normal
-0.2
192
Normal
-0.2
642
Normal
-0.2
852
Normal
-0.2
721
Tumor
-0.2
635
Tumor
-0.2
1041
Tumor
-0.2
161
Tumor
-0.2
744
Normal
-0.2
271
Tumor
-0.2
361
Tumor
-0.2
366
Normal
-0.2
641
Tumor
-0.2
487
Tumor
-0.2
423
Tumor
-0.2
538
Normal
-0.2
477
Tumor
-0.2
185
Tumor
-0.2
813
Tumor
-0.2
1043
Tumor
-0.2
665
Tumor
-0.2
746
Normal
-0.2
365
Tumor
-0.2
883
Tumor
-0.2
461
Tumor
-0.2
786
Normal
-0.2
415
Tumor
-0.2
817
Tumor
-0.2
814
Normal
-0.2
341
Tumor
-0.2
874
Normal
-0.2
357
Tumor
-0.3
917
Tumor
-0.3
695
Tumor
-0.3
574
Normal
-0.3
416
Normal
-0.3
741
Tumor
-0.3
698
Normal
-0.3
171
Tumor
-0.3
553
Tumor
-0.3
663
Tumor
-0.3
141
Tumor
-0.3
672
Normal
-0.3
627
Tumor
-0.3
911
Tumor
-0.3
456
Normal
-0.3
857
Tumor
-0.3
383
Tumor
-0.3
867
Tumor
-0.3
277
Tumor
-0.4
863
Tumor
-0.4
1045
Tumor
-0.8
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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.
The Human Protein Atlas project is funded
