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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.
HSPB1 is not prognostic 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
1117.9
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
10919.3
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
5236.6
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
4036.1
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
3938.8
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
3849.8
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
3654.1
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
3530.7
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
3359.5
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
3196.3
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
3112.7
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
3050.9
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
3044.5
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
3018.1
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
2960.2
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
2930.0
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
2856.8
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
2811.7
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
2793.2
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
2704.0
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
2692.7
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
2646.9
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
2646.4
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
2626.7
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
2565.9
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
2435.7
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
2417.0
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
2336.5
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
2189.9
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
2178.4
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
2174.4
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
2119.1
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
2049.1
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
2021.6
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
2016.9
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
2005.8
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1995.0
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1981.2
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1979.3
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
1958.5
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1936.5
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
1901.5
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1885.4
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1883.7
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
1881.8
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1880.9
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
1876.7
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1867.7
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
1856.2
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1837.3
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1837.0
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
1830.5
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1829.9
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1825.9
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
1817.3
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
1809.1
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1744.0
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1740.7
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
1727.6
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1721.8
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
1716.2
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
1712.9
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
1707.8
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1702.2
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1669.3
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
1664.0
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
1663.8
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
1659.3
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1652.9
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
1646.1
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1643.5
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
1637.3
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
1635.6
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
1634.4
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
1628.0
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
1623.7
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
1612.6
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
1610.4
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
1607.2
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
1605.7
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1601.8
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
1576.8
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1564.3
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
1562.9
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
1542.2
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1522.7
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1522.0
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
1513.5
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
1505.2
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1471.2
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1463.6
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1462.9
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1436.7
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
1434.2
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
1418.2
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1403.2
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1402.1
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1390.5
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
1388.9
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
1372.5
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1363.3
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
1360.2
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1357.4
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
1354.6
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
1352.7
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1344.6
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
1341.7
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
1318.9
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
1315.3
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
1314.8
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1312.6
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
1299.8
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1293.8
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
1278.8
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1256.9
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1235.9
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1233.3
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1228.7
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1221.9
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1218.4
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
1206.5
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1202.7
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1201.9
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
1198.3
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
1194.7
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1194.5
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
1185.5
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
1183.3
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
1175.7
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
1172.0
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1165.3
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1161.0
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
1149.4
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1139.3
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
1134.8
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
1125.3
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
1125.3
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1111.0
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
1105.4
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
1103.2
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
1098.4
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1096.5
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1091.8
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1082.7
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1080.9
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
1077.4
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1076.0
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
1070.9
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1069.0
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
1067.4
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
1063.3
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1060.3
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
1058.1
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1049.5
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1047.7
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
1041.0
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1031.3
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
1027.7
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1026.2
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1024.5
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
1014.7
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1009.1
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1009.0
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
1006.5
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
994.8
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
990.4
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
983.5
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
981.4
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
980.1
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
976.3
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
974.3
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
972.7
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
960.5
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
953.7
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
953.1
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
943.4
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
935.3
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
933.2
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
931.3
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
927.8
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
927.7
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
927.6
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
917.6
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
915.8
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
912.5
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
902.6
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
900.8
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
898.9
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
896.2
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
881.2
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
872.5
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
871.7
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
865.2
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
863.0
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
861.5
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
855.4
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
853.9
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
849.6
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
841.5
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
829.2
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
807.7
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
807.2
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
806.8
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
805.3
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
805.0
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
799.4
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
785.6
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
785.4
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
785.1
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
767.1
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
766.9
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
766.2
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
763.9
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
761.5
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
760.6
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
755.7
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
753.6
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
751.5
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
746.7
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
743.2
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
740.7
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
738.2
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
732.1
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
729.4
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
721.5
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
721.5
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
719.2
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
714.6
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
708.2
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
697.3
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
695.0
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
694.0
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
691.4
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
691.3
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
684.6
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
684.1
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
679.9
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
675.6
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
672.5
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
667.6
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
665.0
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
651.7
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
647.2
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
646.8
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
644.2
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
642.7
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
635.6
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
628.6
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
628.0
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
627.1
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
623.5
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
623.1
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
619.4
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
618.4
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
618.0
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
610.8
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
607.5
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
606.5
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
604.0
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
603.1
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
600.7
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
595.9
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
593.4
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
591.9
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
587.9
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
586.6
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
581.3
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
580.1
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
579.9
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
576.2
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
572.2
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
560.9
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
557.6
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
557.4
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
547.7
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
541.8
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
541.7
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
533.3
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
526.5
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
520.0
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
515.8
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
513.6
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
512.3
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
509.1
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
498.4
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
492.1
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
485.1
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
480.7
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
478.1
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
476.8
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
473.3
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
470.6
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
466.4
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
462.4
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
458.0
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
455.2
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
451.5
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
451.3
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
449.9
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
443.4
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
440.6
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
438.7
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
434.6
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
432.6
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
430.5
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
429.9
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
422.2
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
420.5
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
416.1
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
415.3
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
413.5
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
412.0
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
407.9
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
406.8
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
402.5
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
399.8
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
394.1
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
392.2
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
388.1
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
379.6
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
379.1
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
372.1
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
365.9
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
359.1
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
358.4
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
342.9
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
342.3
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
329.6
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
322.3
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
320.6
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
309.8
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
305.2
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
300.0
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
284.9
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
284.9
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
282.9
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
275.1
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
273.2
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
265.7
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
257.7
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
255.2
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
250.5
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
248.0
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
244.8
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
238.3
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
232.4
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
232.2
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
228.6
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
217.5
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
205.3
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
203.8
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
181.4
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
179.2
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
163.9
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
162.5
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
156.2
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
154.3
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
141.2
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
138.9
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
136.1
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
111.0
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
105.7
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 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.
HSPB1 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
1010.0
Number of samples
231
Samples
Sample
Description
pTPM
DO45211
76 years, male, NA, stage:3, alive, 240 days
8620.3
DO50815
62 years, male, NA, stage:3, alive, 150 days
4180.5
DO23547
74 years, male, NA, stage:1, alive, 1020 days
4103.9
DO23546
63 years, male, NA, stage:2, alive, 1050 days
4028.5
DO45243
74 years, female, NA, stage:3, alive, 930 days
4019.2
DO48737
52 years, male, NA, stage:1, alive, 720 days
3698.5
DO45273
62 years, male, NA, stage:2, alive, 480 days
3369.8
DO45307
54 years, female, NA, stage:4, dead, 240 days
2885.2
DO50839
47 years, female, NA, stage:3, alive, 330 days
2804.8
DO45297
61 years, female, NA, stage:4, dead, 1260 days
2774.7
DO48733
72 years, male, NA, stage:2, alive, 600 days
2514.8
DO45289
78 years, female, NA, stage:3, alive, 360 days
2422.4
DO23521
63 years, male, NA, stage:3, alive, 1110 days
2362.7
DO50857
72 years, male, NA, stage:2, alive, 210 days
2336.9
DO50805
72 years, male, NA, stage:2, alive, 690 days
2303.2
DO23526
66 years, male, NA, stage:3, alive, 1050 days
2289.6
DO45145
78 years, male, NA, stage:3, dead, 60 days
2022.2
DO50783
62 years, male, NA, stage:3, alive, 480 days
1945.0
DO45263
67 years, male, NA, stage:3, dead, 270 days
1849.4
DO50808
68 years, male, NA, stage:2, alive, 570 days
1794.4
DO45267
73 years, male, NA, stage:3, dead, 570 days
1789.5
DO50855
47 years, male, NA, stage:2, alive, 570 days
1780.8
DO50811
62 years, male, NA, stage:1, alive, 450 days
1755.4
DO23519
65 years, male, NA, stage:3, alive, 630 days
1664.8
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1653.5
DO48723
73 years, male, NA, stage:1, alive, 600 days
1596.9
DO48747
62 years, male, NA, stage:3, alive, 540 days
1593.3
DO45193
68 years, female, NA, stage:4, dead, 120 days
1590.6
DO50806
70 years, male, NA, stage:4, alive, 540 days
1574.3
DO45275
65 years, male, NA, stage:3, dead, 10 days
1523.5
DO45131
53 years, male, NA, stage:4, dead, 360 days
1513.5
DO50859
77 years, male, NA, stage:2, alive, 180 days
1497.6
DO45185
89 years, male, NA, stage:2, alive, 600 days
1494.1
DO50816
63 years, male, NA, stage:2, alive, 390 days
1451.0
DO45209
70 years, male, NA, stage:4, alive, 1350 days
1450.0
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1436.3
DO48701
78 years, male, NA, stage:2, alive, 780 days
1420.7
DO45093
71 years, male, NA, stage:2, dead, 720 days
1418.9
DO50774
68 years, female, NA, stage:2, alive, 720 days
1400.2
DO23535
67 years, male, NA, stage:1, alive, 960 days
1385.7
DO45149
70 years, female, NA, stage:2, alive, 1260 days
1367.0
DO50809
56 years, male, NA, stage:3, dead, 720 days
1364.0
DO45245
75 years, female, NA, stage:2, dead, 240 days
1361.3
DO45277
64 years, male, NA, stage:3, alive, 600 days
1315.3
DO45305
66 years, male, NA, stage:4, alive, 300 days
1282.8
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1272.1
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1262.4
DO48697
64 years, female, NA, stage:2, dead, 810 days
1256.9
DO48732
73 years, male, NA, stage:3, alive, 630 days
1215.8
DO48695
77 years, male, NA, stage:2, alive, 720 days
1213.8
DO45103
47 years, male, NA, stage:3, alive, 450 days
1206.2
DO48730
73 years, female, NA, stage:2, alive, 630 days
1190.1
DO23551
73 years, male, NA, stage:3, dead, 150 days
1189.1
DO23516
69 years, male, NA, stage:3, dead, 20 days
1168.8
DO23511
83 years, female, NA, stage:3, dead, 180 days
1163.2
DO50817
75 years, male, NA, stage:2, alive, 390 days
1152.9
DO50798
77 years, male, NA, stage:3, dead, 30 days
1144.9
DO23513
76 years, male, NA, stage:3, alive, 1200 days
1143.4
DO50820
77 years, female, NA, stage:3, alive, 510 days
1118.6
DO50832
73 years, male, NA, stage:3, alive, 90 days
1117.1
DO50844
75 years, male, NA, stage:4, alive, 300 days
1110.9
DO50814
83 years, male, NA, stage:3, alive, 420 days
1096.7
DO45201
49 years, male, NA, stage:1, alive, 900 days
1093.1
DO45255
81 years, male, NA, stage:3, alive, 720 days
1088.6
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1079.4
DO50807
67 years, male, NA, stage:1, alive, 540 days
1078.3
DO23540
73 years, male, NA, stage:1, alive, 750 days
1077.7
DO45101
63 years, male, NA, stage:2, alive, 1680 days
1070.0
DO45251
57 years, female, NA, stage:2, alive, 900 days
1063.2
DO45279
67 years, male, NA, stage:3, alive, 1290 days
1058.6
DO48700
78 years, female, NA, stage:2, alive, 810 days
1056.0
DO227801
77 years, female, NA, stage:1, alive, 660 days
1046.2
DO50850
74 years, male, NA, stage:3, alive, 720 days
1040.0
DO45173
63 years, male, NA, stage:3, alive, 1170 days
1034.5
DO45257
46 years, male, NA, stage:3, alive, 810 days
1024.4
DO23541
65 years, male, NA, stage:2, alive, 930 days
1022.8
DO48757
68 years, female, NA, stage:3, alive, 480 days
1013.9
DO48717
54 years, male, NA, stage:4, dead, 180 days
1009.8
DO23510
80 years, female, NA, stage:2, alive, 870 days
1005.9
DO45283
60 years, male, NA, stage:3, alive, 510 days
1005.6
DO45269
59 years, male, NA, stage:3, alive, 750 days
1003.9
DO50802
49 years, male, NA, stage:2, alive, 930 days
1003.2
DO48681
57 years, male, NA, stage:2, alive, 900 days
1001.6
DO45205
67 years, female, NA, stage:2, dead, 90 days
995.4
DO45199
86 years, female, NA, stage:2, alive, 1350 days
993.8
DO23529
72 years, male, NA, stage:4, alive, 930 days
992.0
DO45161
74 years, male, NA, stage:2, dead, 540 days
985.5
DO48741
64 years, male, NA, stage:3, alive, 240 days
976.3
DO45123
78 years, female, NA, stage:2, dead, 570 days
965.6
DO48672
81 years, male, NA, stage:2, alive, 450 days
962.2
DO45197
51 years, male, NA, stage:2, alive, 1170 days
958.7
DO23534
60 years, male, NA, stage:2, alive, 840 days
954.8
DO45285
59 years, male, NA, stage:3, alive, 480 days
950.7
DO45171
56 years, male, NA, stage:3, alive, 600 days
943.9
DO45303
62 years, female, NA, stage:3, alive, 990 days
942.7
DO23533
61 years, male, NA, stage:2, alive, 900 days
940.9
DO45121
61 years, male, NA, stage:3, alive, 1530 days
937.2
DO50776
75 years, male, NA, stage:1, alive, 690 days
933.2
DO45183
72 years, female, NA, stage:2, dead, 570 days
929.4
DO45221
75 years, female, NA, stage:4, dead, 390 days
924.5
DO23515
71 years, male, NA, stage:2, alive, 1230 days
923.3
DO48720
62 years, female, NA, stage:2, alive, 570 days
923.2
DO23508
79 years, female, NA, stage:2, alive, 390 days
917.5
DO50789
73 years, female, NA, stage:2, alive, 570 days
917.4
DO50778
60 years, male, NA, stage:4, alive, 630 days
906.7
DO45127
73 years, male, NA, stage:3, dead, 420 days
901.6
DO45165
75 years, male, NA, stage:2, alive, 690 days
901.1
DO48761
55 years, male, NA, stage:2, alive, 870 days
879.0
DO50799
66 years, female, NA, stage:2, alive, 540 days
878.7
DO45155
69 years, male, NA, stage:2, alive, 2160 days
871.8
DO45092
62 years, male, NA, stage:4, dead, 1200 days
867.4
DO48712
50 years, male, NA, stage:2, alive, 810 days
866.6
DO48736
76 years, female, NA, stage:1, alive, 600 days
866.5
DO45141
73 years, male, NA, stage:2, alive, 1320 days
842.6
DO50819
72 years, female, NA, stage:2, alive, 510 days
832.8
DO45157
62 years, male, NA, stage:2, alive, 1980 days
828.8
DO50829
78 years, male, NA, stage:3, alive, 570 days
826.2
DO45249
57 years, male, NA, stage:1, alive, 630 days
818.5
DO48743
69 years, female, NA, stage:2, alive, 570 days
814.0
DO23548
78 years, female, NA, stage:1, alive, 840 days
813.4
DO23545
67 years, male, NA, stage:2, dead, 570 days
813.1
DO23537
79 years, male, NA, stage:2, dead, 900 days
812.9
DO23536
56 years, male, NA, stage:2, alive, 930 days
808.6
DO45259
65 years, male, NA, stage:3, alive, 330 days
807.9
DO23528
45 years, female, NA, stage:2, alive, 1020 days
805.2
DO45261
74 years, male, NA, stage:3, alive, 990 days
791.3
DO45213
58 years, male, NA, stage:1, alive, 1200 days
787.9
DO48751
68 years, male, NA, stage:2, dead, 480 days
786.8
DO50803
62 years, female, NA, stage:1, alive, 540 days
783.5
DO50800
74 years, male, NA, stage:2, alive, 510 days
780.6
DO48706
72 years, male, NA, stage:2, alive, 870 days
776.6
DO23552
80 years, female, NA, stage:1, alive, 810 days
772.1
DO45301
56 years, male, NA, stage:2, dead, 1440 days
770.6
DO48728
74 years, female, NA, stage:2, alive, 150 days
757.9
DO45191
61 years, female, NA, stage:2, alive, 1200 days
757.2
DO50825
70 years, male, NA, stage:2, alive, 390 days
757.1
DO50791
79 years, female, NA, stage:1, dead, 480 days
752.3
DO23543
63 years, male, NA, stage:2, alive, 1020 days
750.8
DO48682
72 years, female, NA, stage:3, dead, 120 days
745.1
DO45109
63 years, male, NA, stage:2, alive, 1590 days
731.8
DO45163
76 years, male, NA, stage:2, alive, 960 days
722.5
DO45217
69 years, female, NA, stage:3, dead, 270 days
711.1
DO45105
61 years, male, NA, stage:1, alive, 1680 days
711.1
DO45247
31 years, female, NA, stage:2, alive, 210 days
704.7
DO45179
78 years, female, NA, stage:2, alive, 600 days
700.8
DO45207
68 years, male, NA, stage:1, alive, 1050 days
696.8
DO48742
76 years, male, NA, stage:2, alive, 600 days
696.0
DO48746
76 years, male, NA, stage:3, alive, 570 days
695.6
DO45099
46 years, male, NA, stage:3, alive, 1590 days
691.2
DO23523
52 years, male, NA, stage:3, alive, 1080 days
687.9
DO48679
72 years, male, NA, stage:2, alive, 1200 days
676.6
DO23549
74 years, male, NA, stage:3, alive, 990 days
676.2
DO48759
73 years, male, NA, stage:3, alive, 720 days
656.9
DO50785
37 years, male, NA, stage:4, dead, 90 days
641.3
DO45115
81 years, male, NA, stage:2, alive, 840 days
638.4
DO45125
58 years, male, NA, stage:3, alive, 1680 days
635.9
DO45137
38 years, male, NA, stage:1, alive, 1320 days
635.3
DO45231
84 years, male, NA, stage:2, alive, 930 days
630.5
DO23524
71 years, female, NA, stage:2, alive, 1050 days
630.2
DO50845
72 years, male, NA, stage:3, alive, 210 days
626.9
DO45167
67 years, male, NA, stage:2, dead, 1440 days
626.9
DO23539
77 years, male, NA, stage:1, alive, 1110 days
618.8
DO45153
77 years, female, NA, stage:2, alive, 1380 days
612.4
DO45253
50 years, male, NA, stage:2, alive, 870 days
607.2
DO50813
56 years, male, NA, stage:2, alive, 420 days
592.3
DO45235
68 years, female, NA, stage:1, alive, 900 days
591.4
DO45097
69 years, male, NA, stage:3, alive, 1620 days
582.1
DO45239
42 years, male, NA, stage:2, alive, 870 days
575.5
DO45241
49 years, male, NA, stage:1, alive, 1080 days
575.3
DO23530
53 years, male, NA, stage:4, dead, 180 days
567.6
DO45265
73 years, male, NA, stage:3, alive, 1020 days
567.3
DO23544
67 years, male, NA, stage:2, alive, 960 days
565.5
DO48693
71 years, male, NA, stage:2, alive, 900 days
564.1
DO45187
32 years, female, NA, stage:1, alive, 1260 days
562.8
DO23514
64 years, male, NA, stage:2, alive, 1290 days
555.1
DO23512
60 years, male, NA, stage:1, alive, 1260 days
546.2
DO48725
66 years, male, NA, stage:1, alive, 780 days
528.6
DO45107
63 years, female, NA, stage:2, alive, 1710 days
524.6
DO45299
70 years, female, NA, stage:1, alive, 1440 days
513.8
DO48715
58 years, female, NA, stage:2, dead, 690 days
513.6
DO45189
85 years, female, NA, stage:2, alive, 1200 days
499.7
DO50793
76 years, male, NA, stage:4, alive, 540 days
487.6
DO23532
71 years, female, NA, stage:1, alive, 960 days
482.8
DO45225
69 years, male, NA, stage:1, alive, 1050 days
482.0
DO45223
67 years, male, NA, stage:4, alive, 1020 days
481.3
DO23518
67 years, male, NA, stage:2, alive, 1320 days
480.9
DO45215
65 years, male, NA, stage:2, alive, 1170 days
480.6
DO45233
83 years, male, NA, stage:3, alive, 900 days
476.1
DO45169
74 years, male, NA, stage:3, alive, 1350 days
472.2
DO48719
80 years, male, NA, stage:2, alive, 690 days
454.3
DO45135
77 years, male, NA, stage:1, alive, 1410 days
453.3
DO45203
71 years, female, NA, stage:2, alive, 1170 days
451.3
DO23509
60 years, male, NA, stage:3, dead, 780 days
451.0
DO45096
69 years, male, NA, stage:2, dead, 1290 days
449.2
DO45281
83 years, male, NA, stage:4, alive, 750 days
444.6
DO50804
81 years, male, NA, stage:2, alive, 720 days
435.0
DO48716
71 years, male, NA, stage:2, alive, 720 days
421.9
DO48677
58 years, male, NA, stage:3, alive, 1140 days
418.1
DO45113
58 years, male, NA, stage:3, alive, 1560 days
416.2
DO45091
56 years, male, NA, stage:2, dead, 1320 days
414.0
DO45119
74 years, male, NA, stage:3, dead, 510 days
405.8
DO45219
78 years, male, NA, stage:2, alive, 1080 days
399.8
DO45177
81 years, female, NA, stage:3, alive, 1260 days
389.0
DO48727
81 years, female, NA, stage:2, dead, 390 days
381.6
DO45133
64 years, male, NA, stage:3, dead, 660 days
377.4
DO45229
74 years, male, NA, stage:1, alive, 990 days
360.1
DO50818
65 years, male, NA, stage:2, alive, 510 days
355.5
DO50840
49 years, male, NA, stage:2, alive, 330 days
355.4
DO50822
66 years, male, NA, stage:2, alive, 510 days
353.6
DO23527
72 years, male, NA, stage:1, alive, 1050 days
315.2
DO45227
57 years, female, NA, stage:2, alive, 1020 days
314.1
DO48704
68 years, female, NA, stage:3, alive, 750 days
301.2
DO23550
69 years, male, NA, stage:1, alive, 990 days
291.3
DO50787
63 years, male, NA, stage:3, alive, 480 days
276.8
DO45129
61 years, male, NA, stage:3, alive, 1470 days
275.6
DO45111
74 years, male, NA, stage:2, alive, 1590 days
246.4
DO48760
70 years, female, NA, stage:2, alive, 690 days
242.1
DO23538
67 years, male, NA, stage:2, alive, 450 days
234.4
DO45094
76 years, male, NA, stage:3, alive, 1650 days
212.0
DO45117
73 years, female, NA, stage:2, dead, 1110 days
207.5
DO48674
80 years, male, NA, stage:2, alive, 1260 days
201.1
DO45175
74 years, male, NA, stage:2, alive, 1140 days
196.8
DO23517
62 years, male, NA, stage:2, alive, 1200 days
195.6
DO45181
84 years, female, NA, stage:2, alive, 1200 days
193.9
DO45195
62 years, male, NA, stage:1, alive, 390 days
185.7
DO45287
74 years, male, NA, stage:1, alive, 390 days
185.6
DO48721
58 years, female, NA, stage:1, alive, 900 days
156.3
DO227643
79 years, male, NA, stage:2, alive, 1260 days
151.1
DO23531
78 years, female, NA, stage:3, alive, 900 days
147.1
DO23542
66 years, male, NA, stage:3, alive, 960 days
145.4
DO45237
58 years, male, NA, stage:2, alive, 900 days
132.9
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
715
Tumor
1.3
695
Tumor
1.2
231
Tumor
1.1
147
Tumor
1.0
351
Tumor
1.0
635
Tumor
1.0
127
Tumor
1.0
435
Tumor
1.0
641
Tumor
0.9
171
Tumor
0.9
221
Tumor
0.9
445
Tumor
0.9
921
Tumor
0.9
261
Tumor
0.8
161
Tumor
0.8
123
Tumor
0.8
553
Tumor
0.7
661
Tumor
0.7
1013
Tumor
0.7
223
Tumor
0.7
463
Tumor
0.7
665
Tumor
0.7
471
Tumor
0.6
361
Tumor
0.6
423
Tumor
0.6
755
Tumor
0.6
857
Tumor
0.6
937
Tumor
0.6
873
Tumor
0.6
483
Tumor
0.6
477
Tumor
0.6
191
Tumor
0.6
957
Tumor
0.5
465
Tumor
0.5
267
Tumor
0.5
341
Tumor
0.5
617
Tumor
0.5
883
Tumor
0.5
137
Tumor
0.4
557
Tumor
0.4
915
Tumor
0.4
415
Tumor
0.4
911
Tumor
0.4
313
Tumor
0.4
185
Tumor
0.4
1031
Tumor
0.4
135
Tumor
0.3
443
Tumor
0.3
663
Tumor
0.3
925
Tumor
0.3
283
Tumor
0.3
533
Tumor
0.3
195
Tumor
0.3
647
Tumor
0.3
953
Tumor
0.3
481
Tumor
0.3
425
Tumor
0.3
187
Tumor
0.2
271
Tumor
0.2
881
Tumor
0.2
217
Tumor
0.2
297
Tumor
0.2
563
Tumor
0.2
113
Tumor
0.2
395
Tumor
0.2
375
Tumor
0.2
851
Tumor
0.2
537
Tumor
0.2
451
Tumor
0.2
277
Tumor
0.2
737
Tumor
0.2
745
Tumor
0.2
455
Tumor
0.2
545
Tumor
0.1
411
Tumor
0.1
145
Tumor
0.1
365
Tumor
0.1
724
Normal
0.1
186
Normal
0.1
865
Tumor
0.1
487
Tumor
0.1
743
Tumor
0.1
977
Tumor
0.1
1043
Tumor
0.1
196
Normal
0.1
493
Tumor
0.1
376
Normal
0.0
1041
Tumor
0.0
353
Tumor
0.0
452
Normal
0.0
354
Normal
0.0
387
Tumor
0.0
132
Normal
0.0
975
Tumor
0.0
278
Normal
0.0
433
Tumor
0.0
1032
Normal
0.0
444
Normal
0.0
358
Normal
0.0
332
Normal
0.0
955
Tumor
0.0
572
Normal
0.0
312
Normal
0.0
478
Normal
0.0
534
Normal
0.0
355
Tumor
0.0
192
Normal
0.0
573
Tumor
-0.1
958
Normal
-0.1
162
Normal
-0.1
858
Normal
-0.1
777
Tumor
-0.1
342
Normal
-0.1
422
Normal
-0.1
148
Normal
-0.1
464
Normal
-0.1
916
Normal
-0.1
951
Tumor
-0.1
1027
Tumor
-0.1
616
Normal
-0.1
824
Normal
-0.1
912
Normal
-0.1
314
Normal
-0.1
513
Tumor
-0.1
268
Normal
-0.1
436
Normal
-0.1
222
Normal
-0.1
368
Normal
-0.1
615
Tumor
-0.1
523
Tumor
-0.1
352
Normal
-0.1
618
Normal
-0.1
146
Normal
-0.1
272
Normal
-0.1
124
Normal
-0.1
128
Normal
-0.1
136
Normal
-0.1
976
Normal
-0.1
923
Tumor
-0.1
852
Normal
-0.1
938
Normal
-0.1
461
Tumor
-0.1
727
Tumor
-0.1
746
Normal
-0.1
213
Tumor
-0.1
362
Normal
-0.1
1014
Normal
-0.1
538
Normal
-0.1
286
Normal
-0.2
388
Normal
-0.2
384
Normal
-0.2
331
Tumor
-0.2
344
Normal
-0.2
497
Tumor
-0.2
685
Tumor
-0.2
357
Tumor
-0.2
394
Normal
-0.2
866
Normal
-0.2
484
Normal
-0.2
546
Normal
-0.2
944
Normal
-0.2
258
Normal
-0.2
964
Normal
-0.2
878
Normal
-0.2
262
Normal
-0.2
664
Normal
-0.2
528
Normal
-0.2
311
Tumor
-0.2
666
Normal
-0.2
636
Normal
-0.2
414
Normal
-0.2
343
Tumor
-0.2
864
Normal
-0.2
742
Normal
-0.2
446
Normal
-0.2
424
Normal
-0.2
428
Normal
-0.2
716
Normal
-0.2
366
Normal
-0.2
882
Normal
-0.2
628
Normal
-0.2
432
Normal
-0.2
228
Normal
-0.2
672
Normal
-0.2
426
Normal
-0.2
138
Normal
-0.2
214
Normal
-0.2
456
Normal
-0.2
926
Normal
-0.2
952
Normal
-0.2
141
Tumor
-0.2
284
Normal
-0.2
1025
Tumor
-0.2
568
Normal
-0.2
467
Tumor
-0.2
298
Normal
-0.2
662
Normal
-0.2
874
Normal
-0.2
722
Normal
-0.2
686
Normal
-0.3
142
Normal
-0.3
498
Normal
-0.3
642
Normal
-0.3
396
Normal
-0.3
978
Normal
-0.3
232
Normal
-0.3
744
Normal
-0.3
1022
Normal
-0.3
571
Tumor
-0.3
392
Normal
-0.3
554
Normal
-0.3
328
Normal
-0.3
172
Normal
-0.3
922
Normal
-0.3
536
Normal
-0.3
386
Normal
-0.3
867
Tumor
-0.3
884
Normal
-0.3
515
Tumor
-0.3
648
Normal
-0.3
472
Normal
-0.3
818
Normal
-0.3
714
Normal
-0.3
696
Normal
-0.3
956
Normal
-0.3
224
Normal
-0.3
488
Normal
-0.3
965
Tumor
-0.3
574
Normal
-0.3
564
Normal
-0.3
1026
Normal
-0.3
482
Normal
-0.3
514
Normal
-0.3
383
Tumor
-0.3
914
Normal
-0.3
416
Normal
-0.3
984
Normal
-0.3
982
Normal
-0.3
516
Normal
-0.3
913
Tumor
-0.3
963
Tumor
-0.3
412
Normal
-0.3
778
Normal
-0.3
126
Normal
-0.3
111
Normal
-0.3
558
Normal
-0.3
491
Tumor
-0.3
356
Normal
-0.3
1028
Normal
-0.4
468
Normal
-0.4
421
Tumor
-0.4
112
Tumor
-0.4
713
Tumor
-0.4
524
Normal
-0.4
494
Normal
-0.4
967
Tumor
-0.4
1042
Normal
-0.4
218
Normal
-0.4
188
Normal
-0.4
1015
Tumor
-0.4
466
Normal
-0.4
413
Tumor
-0.4
968
Normal
-0.4
462
Normal
-0.4
431
Tumor
-0.4
212
Normal
-0.4
434
Normal
-0.4
823
Tumor
-0.4
868
Normal
-0.4
756
Normal
-0.4
448
Normal
-0.4
364
Normal
-0.4
114
Normal
-0.4
427
Tumor
-0.4
1021
Tumor
-0.4
721
Tumor
-0.4
535
Tumor
-0.4
257
Tumor
-0.4
862
Normal
-0.4
385
Tumor
-0.4
954
Normal
-0.4
517
Tumor
-0.4
1044
Normal
-0.5
671
Tumor
-0.5
785
Tumor
-0.5
492
Normal
-0.5
786
Normal
-0.5
525
Tumor
-0.5
728
Normal
-0.5
983
Tumor
-0.5
526
Normal
-0.5
447
Tumor
-0.5
943
Tumor
-0.5
814
Normal
-0.5
817
Tumor
-0.5
1016
Normal
-0.5
816
Normal
-0.5
367
Tumor
-0.5
918
Normal
-0.5
813
Tumor
-0.5
738
Normal
-0.5
473
Tumor
-0.5
1045
Tumor
-0.5
391
Tumor
-0.5
877
Tumor
-0.5
363
Tumor
-0.5
966
Normal
-0.5
924
Normal
-0.5
723
Tumor
-0.6
741
Tumor
-0.6
474
Normal
-0.6
698
Normal
-0.6
917
Tumor
-0.6
131
Tumor
-0.6
981
Tumor
-0.6
567
Tumor
-0.6
518
Normal
-0.7
1046
Normal
-0.7
125
Tumor
-0.7
393
Tumor
-0.7
327
Tumor
-0.7
211
Tumor
-0.7
627
Tumor
-0.9
697
Tumor
-0.9
227
Tumor
-1.0
285
Tumor
-1.0
527
Tumor
-1.1
861
Tumor
-1.2
863
Tumor
-1.3
815
Tumor
-1.5
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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.