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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.
RPS15A 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 TPM
1047.4
Number of samples
362
Samples
Sample
Description
TPM
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
4009.7
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
3018.2
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
2743.5
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
2740.2
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
2664.5
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
2547.2
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
2533.3
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
2435.5
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
2431.1
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
2231.3
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
2205.6
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
2183.5
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
2129.8
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
2077.6
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
2037.0
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
2032.4
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
2009.3
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
2001.1
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
1983.7
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
1959.0
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
1908.8
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
1880.3
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
1856.6
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
1853.5
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1851.4
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
1831.9
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1830.7
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
1818.2
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
1815.9
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1815.0
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
1767.6
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
1762.1
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
1735.2
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
1732.0
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
1707.4
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1676.3
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
1673.1
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1654.2
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
1651.0
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1633.5
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1633.3
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
1632.3
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
1613.1
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
1612.0
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
1603.5
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1599.8
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
1596.7
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1596.0
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1592.2
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1591.2
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
1588.7
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1581.8
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
1574.1
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
1561.2
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
1559.8
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
1558.7
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
1558.1
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1554.0
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1552.2
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1541.4
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
1517.0
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
1508.6
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
1508.4
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1493.9
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1488.3
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
1487.2
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
1445.0
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
1444.2
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
1442.1
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1433.0
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
1399.5
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1399.4
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1397.3
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
1397.1
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
1381.5
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1360.9
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
1356.1
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
1353.3
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
1339.2
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
1327.3
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
1307.2
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
1305.6
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
1302.9
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1273.9
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
1269.5
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
1262.6
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1259.9
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
1254.8
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1251.8
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
1246.2
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
1234.1
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1233.4
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1226.6
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1220.0
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
1189.9
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1187.2
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1186.4
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
1172.2
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1170.5
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1166.1
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
1161.3
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
1159.2
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1156.4
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
1151.7
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1149.7
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
1149.5
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1147.9
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1147.4
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1144.5
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
1142.9
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1141.6
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1137.6
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1133.9
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1123.7
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1119.9
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
1119.3
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1118.3
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1099.6
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
1096.4
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1093.6
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1087.8
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1087.3
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1084.7
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1081.7
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1077.6
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1075.8
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1070.5
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1067.3
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1065.4
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1065.2
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
1065.2
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
1063.4
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1057.5
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1046.8
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1044.7
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1041.6
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1039.5
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1035.1
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
1031.1
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
1028.4
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1027.0
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1023.8
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1023.1
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1019.5
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
1014.5
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
1013.9
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
1009.8
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1005.8
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
1005.4
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
1000.0
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
997.3
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
994.6
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
993.3
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
992.3
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
985.6
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
980.8
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
978.6
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
977.9
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
977.8
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
974.7
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
973.9
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
972.4
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
970.5
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
969.0
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
967.2
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
962.2
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
958.7
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
949.5
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
947.9
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
944.6
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
944.3
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
942.1
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
941.5
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
938.0
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
935.6
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
933.4
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
932.3
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
929.0
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
929.0
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
926.3
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
923.3
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
922.8
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
921.2
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
918.7
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
916.7
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
916.2
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
912.9
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
912.7
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
911.8
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
910.0
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
906.8
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
905.1
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
903.0
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
901.1
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
900.1
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
899.0
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
897.9
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
891.1
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
891.0
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
891.0
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
888.7
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
888.2
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
886.7
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
883.2
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
881.2
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
878.1
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
877.7
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
874.4
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
874.3
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
866.6
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
862.4
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
860.1
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
849.2
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
849.0
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
843.4
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
843.4
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
835.9
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
834.9
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
834.1
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
831.5
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
830.8
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
830.1
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
830.1
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
828.3
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
827.9
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
825.5
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
824.7
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
820.8
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
819.5
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
819.2
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
814.9
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
814.0
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
800.3
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
795.8
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
795.1
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
791.9
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
791.7
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
790.8
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
787.6
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
779.3
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
777.8
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
775.7
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
770.1
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
767.8
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
766.6
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
765.6
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
765.3
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
764.9
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
761.5
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
760.8
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
758.4
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
757.6
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
754.4
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
752.7
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
751.5
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
751.0
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
749.5
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
747.7
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
745.4
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
742.4
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
729.5
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
729.5
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
727.5
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
724.3
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
720.9
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
720.6
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
716.9
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
715.4
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
714.5
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
714.5
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
712.5
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
709.1
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
703.0
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
700.4
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
698.2
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
694.0
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
693.6
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
692.2
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
690.1
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
684.8
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
680.2
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
679.5
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
677.5
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
676.8
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
675.0
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
673.0
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
673.0
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
672.1
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
671.5
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
671.2
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
670.0
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
666.6
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
666.5
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
665.9
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
663.4
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
656.8
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
655.3
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
654.5
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
653.6
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
652.1
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
650.9
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
650.1
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
648.0
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
643.5
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
641.3
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
639.6
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
637.4
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
635.7
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
634.5
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
633.3
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
626.5
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
621.3
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
615.7
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
607.1
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
606.9
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
604.1
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
602.4
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
602.3
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
600.4
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
596.6
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
591.5
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
588.4
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
588.2
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
587.0
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
579.3
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
573.8
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
573.1
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
568.3
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
567.8
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
567.0
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
567.0
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
565.2
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
554.1
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
552.5
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
548.1
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
536.0
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
534.1
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
532.9
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
530.0
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
529.0
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
524.4
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
520.3
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
516.8
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
516.1
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
515.4
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
499.7
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
496.8
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
496.0
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
492.2
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
491.7
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
476.4
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
468.0
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
463.5
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
456.5
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
447.3
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
426.2
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
421.4
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
407.4
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
382.1
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
320.0
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
275.7
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 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.
RPS15A is potential 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 TPM
980.7
Number of samples
231
Samples
Sample
Description
TPM
DO45285
59 years, male, NA, stage:3, alive, 480 days
5409.7
DO48747
62 years, male, NA, stage:3, alive, 540 days
3170.8
DO50814
83 years, male, NA, stage:3, alive, 420 days
2966.7
DO45211
76 years, male, NA, stage:3, alive, 240 days
2626.0
DO45127
73 years, male, NA, stage:3, dead, 420 days
2605.5
DO45289
78 years, female, NA, stage:3, alive, 360 days
2452.5
DO48737
52 years, male, NA, stage:1, alive, 720 days
2355.9
DO50855
47 years, male, NA, stage:2, alive, 570 days
2292.0
DO23530
53 years, male, NA, stage:4, dead, 180 days
2212.7
DO45259
65 years, male, NA, stage:3, alive, 330 days
2182.4
DO48682
72 years, female, NA, stage:3, dead, 120 days
2059.4
DO45269
59 years, male, NA, stage:3, alive, 750 days
1945.5
DO45193
68 years, female, NA, stage:4, dead, 120 days
1941.1
DO45305
66 years, male, NA, stage:4, alive, 300 days
1912.4
DO23515
71 years, male, NA, stage:2, alive, 1230 days
1871.8
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1776.8
DO45307
54 years, female, NA, stage:4, dead, 240 days
1717.7
DO45097
69 years, male, NA, stage:3, alive, 1620 days
1700.2
DO48757
68 years, female, NA, stage:3, alive, 480 days
1697.7
DO48759
73 years, male, NA, stage:3, alive, 720 days
1656.4
DO45299
70 years, female, NA, stage:1, alive, 1440 days
1652.0
DO45221
75 years, female, NA, stage:4, dead, 390 days
1649.4
DO45239
42 years, male, NA, stage:2, alive, 870 days
1640.9
DO23519
65 years, male, NA, stage:3, alive, 630 days
1624.9
DO45287
74 years, male, NA, stage:1, alive, 390 days
1608.0
DO23511
83 years, female, NA, stage:3, dead, 180 days
1547.1
DO50785
37 years, male, NA, stage:4, dead, 90 days
1512.7
DO45229
74 years, male, NA, stage:1, alive, 990 days
1482.2
DO45161
74 years, male, NA, stage:2, dead, 540 days
1477.4
DO48723
73 years, male, NA, stage:1, alive, 600 days
1470.7
DO45303
62 years, female, NA, stage:3, alive, 990 days
1451.5
DO45179
78 years, female, NA, stage:2, alive, 600 days
1423.0
DO50809
56 years, male, NA, stage:3, dead, 720 days
1408.1
DO50844
75 years, male, NA, stage:4, alive, 300 days
1397.2
DO45145
78 years, male, NA, stage:3, dead, 60 days
1381.2
DO23516
69 years, male, NA, stage:3, dead, 20 days
1369.4
DO50802
49 years, male, NA, stage:2, alive, 930 days
1362.7
DO45251
57 years, female, NA, stage:2, alive, 900 days
1357.7
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1329.9
DO45297
61 years, female, NA, stage:4, dead, 1260 days
1328.0
DO45261
74 years, male, NA, stage:3, alive, 990 days
1314.4
DO45283
60 years, male, NA, stage:3, alive, 510 days
1308.8
DO48727
81 years, female, NA, stage:2, dead, 390 days
1298.7
DO50793
76 years, male, NA, stage:4, alive, 540 days
1288.4
DO45135
77 years, male, NA, stage:1, alive, 1410 days
1270.8
DO45249
57 years, male, NA, stage:1, alive, 630 days
1269.3
DO50806
70 years, male, NA, stage:4, alive, 540 days
1264.7
DO48751
68 years, male, NA, stage:2, dead, 480 days
1261.0
DO50799
66 years, female, NA, stage:2, alive, 540 days
1243.6
DO45165
75 years, male, NA, stage:2, alive, 690 days
1233.8
DO23528
45 years, female, NA, stage:2, alive, 1020 days
1228.2
DO45103
47 years, male, NA, stage:3, alive, 450 days
1173.8
DO50839
47 years, female, NA, stage:3, alive, 330 days
1168.3
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1161.2
DO45185
89 years, male, NA, stage:2, alive, 600 days
1145.0
DO45267
73 years, male, NA, stage:3, dead, 570 days
1139.5
DO48672
81 years, male, NA, stage:2, alive, 450 days
1122.5
DO48681
57 years, male, NA, stage:2, alive, 900 days
1122.4
DO48725
66 years, male, NA, stage:1, alive, 780 days
1113.3
DO45279
67 years, male, NA, stage:3, alive, 1290 days
1105.8
DO50778
60 years, male, NA, stage:4, alive, 630 days
1100.4
DO50805
72 years, male, NA, stage:2, alive, 690 days
1097.4
DO50825
70 years, male, NA, stage:2, alive, 390 days
1096.7
DO45205
67 years, female, NA, stage:2, dead, 90 days
1092.5
DO48712
50 years, male, NA, stage:2, alive, 810 days
1090.8
DO48697
64 years, female, NA, stage:2, dead, 810 days
1082.1
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1075.0
DO23545
67 years, male, NA, stage:2, dead, 570 days
1072.4
DO23523
52 years, male, NA, stage:3, alive, 1080 days
1071.9
DO45281
83 years, male, NA, stage:4, alive, 750 days
1070.5
DO50783
62 years, male, NA, stage:3, alive, 480 days
1056.1
DO45201
49 years, male, NA, stage:1, alive, 900 days
1049.5
DO45199
86 years, female, NA, stage:2, alive, 1350 days
1040.4
DO48715
58 years, female, NA, stage:2, dead, 690 days
1037.7
DO45189
85 years, female, NA, stage:2, alive, 1200 days
1031.5
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1028.8
DO23543
63 years, male, NA, stage:2, alive, 1020 days
1011.3
DO50776
75 years, male, NA, stage:1, alive, 690 days
1008.9
DO45109
63 years, male, NA, stage:2, alive, 1590 days
996.0
DO23526
66 years, male, NA, stage:3, alive, 1050 days
995.0
DO45277
64 years, male, NA, stage:3, alive, 600 days
994.0
DO48733
72 years, male, NA, stage:2, alive, 600 days
990.8
DO23540
73 years, male, NA, stage:1, alive, 750 days
988.9
DO45253
50 years, male, NA, stage:2, alive, 870 days
987.4
DO45117
73 years, female, NA, stage:2, dead, 1110 days
987.0
DO50859
77 years, male, NA, stage:2, alive, 180 days
986.5
DO45231
84 years, male, NA, stage:2, alive, 930 days
984.6
DO50791
79 years, female, NA, stage:1, dead, 480 days
981.1
DO45273
62 years, male, NA, stage:2, alive, 480 days
979.6
DO45217
69 years, female, NA, stage:3, dead, 270 days
979.0
DO50857
72 years, male, NA, stage:2, alive, 210 days
973.4
DO48741
64 years, male, NA, stage:3, alive, 240 days
970.1
DO45139
63 years, male, NA, stage:3, alive, 1320 days
964.4
DO45175
74 years, male, NA, stage:2, alive, 1140 days
959.6
DO50822
66 years, male, NA, stage:2, alive, 510 days
959.3
DO48728
74 years, female, NA, stage:2, alive, 150 days
949.3
DO48717
54 years, male, NA, stage:4, dead, 180 days
939.3
DO50808
68 years, male, NA, stage:2, alive, 570 days
936.6
DO48736
76 years, female, NA, stage:1, alive, 600 days
936.0
DO50800
74 years, male, NA, stage:2, alive, 510 days
929.3
DO50811
62 years, male, NA, stage:1, alive, 450 days
920.0
DO48701
78 years, male, NA, stage:2, alive, 780 days
918.6
DO45119
74 years, male, NA, stage:3, dead, 510 days
915.3
DO45181
84 years, female, NA, stage:2, alive, 1200 days
913.0
DO23536
56 years, male, NA, stage:2, alive, 930 days
911.5
DO23537
79 years, male, NA, stage:2, dead, 900 days
910.0
DO45227
57 years, female, NA, stage:2, alive, 1020 days
906.5
DO45183
72 years, female, NA, stage:2, dead, 570 days
893.1
DO45223
67 years, male, NA, stage:4, alive, 1020 days
892.0
DO45233
83 years, male, NA, stage:3, alive, 900 days
891.1
DO45209
70 years, male, NA, stage:4, alive, 1350 days
890.4
DO45219
78 years, male, NA, stage:2, alive, 1080 days
887.6
DO45153
77 years, female, NA, stage:2, alive, 1380 days
885.2
DO45225
69 years, male, NA, stage:1, alive, 1050 days
881.5
DO23514
64 years, male, NA, stage:2, alive, 1290 days
879.2
DO45203
71 years, female, NA, stage:2, alive, 1170 days
875.0
DO45237
58 years, male, NA, stage:2, alive, 900 days
872.9
DO23542
66 years, male, NA, stage:3, alive, 960 days
872.0
DO50818
65 years, male, NA, stage:2, alive, 510 days
860.4
DO45301
56 years, male, NA, stage:2, dead, 1440 days
850.7
DO50804
81 years, male, NA, stage:2, alive, 720 days
849.6
DO45163
76 years, male, NA, stage:2, alive, 960 days
849.2
DO23533
61 years, male, NA, stage:2, alive, 900 days
848.8
DO45265
73 years, male, NA, stage:3, alive, 1020 days
846.4
DO45115
81 years, male, NA, stage:2, alive, 840 days
845.5
DO45143
69 years, male, NA, stage:3, alive, 1290 days
842.3
DO45177
81 years, female, NA, stage:3, alive, 1260 days
837.7
DO48746
76 years, male, NA, stage:3, alive, 570 days
837.0
DO48695
77 years, male, NA, stage:2, alive, 720 days
832.3
DO50829
78 years, male, NA, stage:3, alive, 570 days
825.5
DO48677
58 years, male, NA, stage:3, alive, 1140 days
818.8
DO50819
72 years, female, NA, stage:2, alive, 510 days
813.1
DO45243
74 years, female, NA, stage:3, alive, 930 days
805.1
DO48674
80 years, male, NA, stage:2, alive, 1260 days
802.3
DO23508
79 years, female, NA, stage:2, alive, 390 days
798.0
DO227801
77 years, female, NA, stage:1, alive, 660 days
793.0
DO48721
58 years, female, NA, stage:1, alive, 900 days
791.9
DO48706
72 years, male, NA, stage:2, alive, 870 days
784.6
DO45096
69 years, male, NA, stage:2, dead, 1290 days
782.4
DO45157
62 years, male, NA, stage:2, alive, 1980 days
777.7
DO23531
78 years, female, NA, stage:3, alive, 900 days
769.2
DO48730
73 years, female, NA, stage:2, alive, 630 days
767.1
DO50850
74 years, male, NA, stage:3, alive, 720 days
765.7
DO48700
78 years, female, NA, stage:2, alive, 810 days
765.0
DO23551
73 years, male, NA, stage:3, dead, 150 days
763.1
DO50807
67 years, male, NA, stage:1, alive, 540 days
759.8
DO50815
62 years, male, NA, stage:3, alive, 150 days
743.1
DO50840
49 years, male, NA, stage:2, alive, 330 days
738.0
DO50813
56 years, male, NA, stage:2, alive, 420 days
733.9
DO23510
80 years, female, NA, stage:2, alive, 870 days
728.9
DO48720
62 years, female, NA, stage:2, alive, 570 days
721.0
DO45207
68 years, male, NA, stage:1, alive, 1050 days
716.4
DO45247
31 years, female, NA, stage:2, alive, 210 days
714.6
DO48704
68 years, female, NA, stage:3, alive, 750 days
711.9
DO45137
38 years, male, NA, stage:1, alive, 1320 days
710.8
DO50787
63 years, male, NA, stage:3, alive, 480 days
708.8
DO45187
32 years, female, NA, stage:1, alive, 1260 days
705.9
DO48732
73 years, male, NA, stage:3, alive, 630 days
703.8
DO45171
56 years, male, NA, stage:3, alive, 600 days
700.4
DO48719
80 years, male, NA, stage:2, alive, 690 days
690.4
DO50798
77 years, male, NA, stage:3, dead, 30 days
690.1
DO23538
67 years, male, NA, stage:2, alive, 450 days
686.7
DO45093
71 years, male, NA, stage:2, dead, 720 days
681.9
DO45245
75 years, female, NA, stage:2, dead, 240 days
680.9
DO45173
63 years, male, NA, stage:3, alive, 1170 days
678.3
DO45125
58 years, male, NA, stage:3, alive, 1680 days
669.6
DO23535
67 years, male, NA, stage:1, alive, 960 days
665.2
DO48716
71 years, male, NA, stage:2, alive, 720 days
662.5
DO45255
81 years, male, NA, stage:3, alive, 720 days
660.7
DO45213
58 years, male, NA, stage:1, alive, 1200 days
653.1
DO48693
71 years, male, NA, stage:2, alive, 900 days
650.7
DO45191
61 years, female, NA, stage:2, alive, 1200 days
645.9
DO45257
46 years, male, NA, stage:3, alive, 810 days
644.5
DO23541
65 years, male, NA, stage:2, alive, 930 days
633.6
DO48743
69 years, female, NA, stage:2, alive, 570 days
633.0
DO50817
75 years, male, NA, stage:2, alive, 390 days
632.8
DO23529
72 years, male, NA, stage:4, alive, 930 days
628.5
DO23513
76 years, male, NA, stage:3, alive, 1200 days
628.2
DO48761
55 years, male, NA, stage:2, alive, 870 days
628.1
DO23547
74 years, male, NA, stage:1, alive, 1020 days
627.3
DO23539
77 years, male, NA, stage:1, alive, 1110 days
620.0
DO50820
77 years, female, NA, stage:3, alive, 510 days
614.4
DO50816
63 years, male, NA, stage:2, alive, 390 days
612.3
DO23527
72 years, male, NA, stage:1, alive, 1050 days
610.5
DO45235
68 years, female, NA, stage:1, alive, 900 days
605.1
DO50803
62 years, female, NA, stage:1, alive, 540 days
604.1
DO23549
74 years, male, NA, stage:3, alive, 990 days
597.4
DO45092
62 years, male, NA, stage:4, dead, 1200 days
595.7
DO227643
79 years, male, NA, stage:2, alive, 1260 days
587.4
DO45155
69 years, male, NA, stage:2, alive, 2160 days
582.6
DO45131
53 years, male, NA, stage:4, dead, 360 days
580.7
DO23512
60 years, male, NA, stage:1, alive, 1260 days
577.7
DO48760
70 years, female, NA, stage:2, alive, 690 days
577.6
DO45275
65 years, male, NA, stage:3, dead, 10 days
574.5
DO23550
69 years, male, NA, stage:1, alive, 990 days
555.4
DO23517
62 years, male, NA, stage:2, alive, 1200 days
551.8
DO45263
67 years, male, NA, stage:3, dead, 270 days
543.2
DO45159
65 years, male, NA, stage:3, alive, 1470 days
524.1
DO48742
76 years, male, NA, stage:2, alive, 600 days
521.6
DO23548
78 years, female, NA, stage:1, alive, 840 days
521.1
DO45094
76 years, male, NA, stage:3, alive, 1650 days
513.9
DO45169
74 years, male, NA, stage:3, alive, 1350 days
509.6
DO45195
62 years, male, NA, stage:1, alive, 390 days
502.9
DO45099
46 years, male, NA, stage:3, alive, 1590 days
501.3
DO23518
67 years, male, NA, stage:2, alive, 1320 days
497.3
DO45241
49 years, male, NA, stage:1, alive, 1080 days
491.5
DO50789
73 years, female, NA, stage:2, alive, 570 days
486.1
DO45129
61 years, male, NA, stage:3, alive, 1470 days
483.7
DO23544
67 years, male, NA, stage:2, alive, 960 days
469.8
DO45121
61 years, male, NA, stage:3, alive, 1530 days
467.7
DO23546
63 years, male, NA, stage:2, alive, 1050 days
456.8
DO45215
65 years, male, NA, stage:2, alive, 1170 days
452.5
DO45149
70 years, female, NA, stage:2, alive, 1260 days
448.8
DO45091
56 years, male, NA, stage:2, dead, 1320 days
445.7
DO45133
64 years, male, NA, stage:3, dead, 660 days
444.9
DO50774
68 years, female, NA, stage:2, alive, 720 days
442.6
DO45113
58 years, male, NA, stage:3, alive, 1560 days
435.8
DO23524
71 years, female, NA, stage:2, alive, 1050 days
434.2
DO50832
73 years, male, NA, stage:3, alive, 90 days
429.9
DO23532
71 years, female, NA, stage:1, alive, 960 days
391.4
DO45111
74 years, male, NA, stage:2, alive, 1590 days
390.7
DO50845
72 years, male, NA, stage:3, alive, 210 days
367.7
DO45123
78 years, female, NA, stage:2, dead, 570 days
349.6
DO23552
80 years, female, NA, stage:1, alive, 810 days
314.3
DO23534
60 years, male, NA, stage:2, alive, 840 days
298.8
DO45107
63 years, female, NA, stage:2, alive, 1710 days
294.5
DO23509
60 years, male, NA, stage:3, dead, 780 days
278.1
DO45197
51 years, male, NA, stage:2, alive, 1170 days
232.0
DO45101
63 years, male, NA, stage:2, alive, 1680 days
194.7
DO45167
67 years, male, NA, stage:2, dead, 1440 days
187.9
DO45105
61 years, male, NA, stage:1, alive, 1680 days
142.4
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
331
Tumor
0.4
314
Normal
0.4
467
Tumor
0.4
327
Tumor
0.4
332
Normal
0.3
358
Normal
0.3
353
Tumor
0.3
557
Tumor
0.3
195
Tumor
0.3
481
Tumor
0.3
191
Tumor
0.3
537
Tumor
0.3
223
Tumor
0.3
135
Tumor
0.3
393
Tumor
0.3
131
Tumor
0.3
145
Tumor
0.3
286
Normal
0.3
482
Normal
0.3
136
Normal
0.3
462
Normal
0.3
636
Normal
0.3
113
Tumor
0.3
285
Tumor
0.3
214
Normal
0.2
1021
Tumor
0.2
617
Tumor
0.2
514
Normal
0.2
745
Tumor
0.2
312
Normal
0.2
138
Normal
0.2
162
Normal
0.2
217
Tumor
0.2
132
Normal
0.2
186
Normal
0.2
278
Normal
0.2
567
Tumor
0.2
815
Tumor
0.2
172
Normal
0.2
728
Normal
0.2
414
Normal
0.2
342
Normal
0.2
661
Tumor
0.2
142
Normal
0.2
1027
Tumor
0.2
452
Normal
0.2
352
Normal
0.2
662
Normal
0.2
864
Normal
0.2
148
Normal
0.2
466
Normal
0.2
432
Normal
0.2
568
Normal
0.2
137
Tumor
0.2
912
Normal
0.2
376
Normal
0.2
356
Normal
0.2
387
Tumor
0.2
212
Normal
0.2
284
Normal
0.2
648
Normal
0.2
354
Normal
0.2
564
Normal
0.2
436
Normal
0.2
696
Normal
0.2
344
Normal
0.2
196
Normal
0.2
228
Normal
0.2
778
Normal
0.2
545
Tumor
0.2
777
Tumor
0.2
451
Tumor
0.2
222
Normal
0.2
727
Tumor
0.2
232
Normal
0.2
227
Tumor
0.2
392
Normal
0.2
671
Tumor
0.1
367
Tumor
0.1
1046
Normal
0.1
187
Tumor
0.1
424
Normal
0.1
146
Normal
0.1
672
Normal
0.1
664
Normal
0.1
743
Tumor
0.1
221
Tumor
0.1
446
Normal
0.1
422
Normal
0.1
218
Normal
0.1
448
Normal
0.1
298
Normal
0.1
666
Normal
0.1
497
Tumor
0.1
722
Normal
0.1
851
Tumor
0.1
443
Tumor
0.1
488
Normal
0.1
723
Tumor
0.1
518
Normal
0.1
394
Normal
0.1
1044
Normal
0.1
494
Normal
0.1
472
Normal
0.1
277
Tumor
0.1
983
Tumor
0.1
368
Normal
0.1
524
Normal
0.1
426
Normal
0.1
412
Normal
0.1
464
Normal
0.1
147
Tumor
0.1
213
Tumor
0.1
258
Normal
0.1
413
Tumor
0.1
724
Normal
0.1
922
Normal
0.1
955
Tumor
0.1
964
Normal
0.1
528
Normal
0.1
351
Tumor
0.1
685
Tumor
0.1
558
Normal
0.1
944
Normal
0.1
1026
Normal
0.1
526
Normal
0.1
388
Normal
0.1
628
Normal
0.1
433
Tumor
0.1
384
Normal
0.1
523
Tumor
0.1
362
Normal
0.1
188
Normal
0.1
1042
Normal
0.1
938
Normal
0.1
192
Normal
0.1
474
Normal
0.1
714
Normal
0.1
982
Normal
0.1
738
Normal
0.1
665
Tumor
0.1
954
Normal
0.1
456
Normal
0.1
663
Tumor
0.1
463
Tumor
0.1
395
Tumor
0.1
824
Normal
0.1
224
Normal
0.1
786
Normal
0.1
816
Normal
0.1
926
Normal
0.1
445
Tumor
0.1
698
Normal
0.1
937
Tumor
0.1
956
Normal
0.1
423
Tumor
0.1
435
Tumor
0.1
366
Normal
0.1
114
Normal
0.1
515
Tumor
0.1
328
Normal
0.1
976
Normal
0.1
866
Normal
0.1
262
Normal
0.1
918
Normal
0.1
468
Normal
0.1
756
Normal
0.1
396
Normal
0.1
618
Normal
0.1
517
Tumor
0.1
267
Tumor
0.1
478
Normal
0.1
534
Normal
0.1
268
Normal
0.1
1016
Normal
0.1
364
Normal
0.1
484
Normal
0.1
574
Normal
0.0
431
Tumor
0.0
128
Normal
0.0
882
Normal
0.0
642
Normal
0.0
884
Normal
0.0
554
Normal
0.0
818
Normal
0.0
572
Normal
0.0
465
Tumor
0.0
967
Tumor
0.0
444
Normal
0.0
434
Normal
0.0
914
Normal
0.0
984
Normal
0.0
713
Tumor
0.0
965
Tumor
0.0
112
Tumor
0.0
742
Normal
0.0
385
Tumor
0.0
858
Normal
0.0
455
Tumor
0.0
416
Normal
0.0
421
Tumor
0.0
571
Tumor
0.0
415
Tumor
0.0
428
Normal
0.0
852
Normal
0.0
343
Tumor
0.0
271
Tumor
0.0
862
Normal
0.0
737
Tumor
0.0
744
Normal
0.0
1025
Tumor
0.0
527
Tumor
0.0
141
Tumor
0.0
868
Normal
0.0
647
Tumor
0.0
874
Normal
0.0
257
Tumor
0.0
386
Normal
0.0
124
Normal
0.0
865
Tumor
0.0
111
Normal
0.0
785
Tumor
0.0
411
Tumor
0.0
878
Normal
0.0
365
Tumor
0.0
516
Normal
0.0
171
Tumor
0.0
616
Normal
0.0
391
Tumor
0.0
1014
Normal
0.0
755
Tumor
0.0
686
Normal
0.0
231
Tumor
0.0
447
Tumor
0.0
357
Tumor
0.0
513
Tumor
0.0
978
Normal
0.0
272
Normal
0.0
1028
Normal
0.0
355
Tumor
0.0
966
Normal
0.0
716
Normal
0.0
968
Normal
0.0
361
Tumor
0.0
1015
Tumor
0.0
1022
Normal
0.0
493
Tumor
0.0
913
Tumor
0.0
161
Tumor
0.0
746
Normal
0.0
185
Tumor
0.0
546
Normal
0.0
283
Tumor
0.0
1032
Normal
-0.1
873
Tumor
-0.1
563
Tumor
-0.1
375
Tumor
-0.1
952
Normal
-0.1
635
Tumor
-0.1
211
Tumor
-0.1
126
Normal
-0.1
615
Tumor
-0.1
923
Tumor
-0.1
881
Tumor
-0.1
877
Tumor
-0.1
127
Tumor
-0.1
981
Tumor
-0.1
1043
Tumor
-0.1
573
Tumor
-0.1
924
Normal
-0.1
917
Tumor
-0.1
715
Tumor
-0.1
461
Tumor
-0.1
297
Tumor
-0.1
1031
Tumor
-0.1
311
Tumor
-0.1
313
Tumor
-0.1
817
Tumor
-0.1
1045
Tumor
-0.1
536
Normal
-0.1
487
Tumor
-0.1
915
Tumor
-0.1
427
Tumor
-0.1
363
Tumor
-0.1
861
Tumor
-0.1
538
Normal
-0.1
492
Normal
-0.1
721
Tumor
-0.1
953
Tumor
-0.1
341
Tumor
-0.1
975
Tumor
-0.1
425
Tumor
-0.1
477
Tumor
-0.1
863
Tumor
-0.1
963
Tumor
-0.1
814
Normal
-0.1
921
Tumor
-0.1
533
Tumor
-0.1
916
Normal
-0.1
525
Tumor
-0.1
473
Tumor
-0.1
943
Tumor
-0.1
823
Tumor
-0.1
498
Normal
-0.1
125
Tumor
-0.1
261
Tumor
-0.1
483
Tumor
-0.1
857
Tumor
-0.1
957
Tumor
-0.1
958
Normal
-0.1
695
Tumor
-0.1
535
Tumor
-0.2
123
Tumor
-0.2
697
Tumor
-0.2
925
Tumor
-0.2
627
Tumor
-0.2
813
Tumor
-0.2
867
Tumor
-0.2
471
Tumor
-0.2
977
Tumor
-0.2
911
Tumor
-0.2
1041
Tumor
-0.2
883
Tumor
-0.2
641
Tumor
-0.2
383
Tumor
-0.2
553
Tumor
-0.2
741
Tumor
-0.3
951
Tumor
-0.3
491
Tumor
-0.3
1013
Tumor
-0.4
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LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
