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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPS7 is validated prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
1082.6
Number of samples
362
Samples
Sample
Description
TPM
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
3911.3
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
3761.2
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
3388.9
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
3256.3
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
2877.5
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
2813.1
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
2795.2
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
2638.7
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
2606.3
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
2487.0
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
2481.9
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
2426.8
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
2419.2
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
2379.7
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
2292.6
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
2290.1
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
2256.9
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
2210.5
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
2209.8
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
2169.0
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
2159.3
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
2121.7
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
2117.5
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
2109.5
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
2107.1
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
2067.1
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
2024.9
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1997.6
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
1986.6
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1981.1
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
1978.7
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
1941.7
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
1935.6
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
1914.6
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
1882.9
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
1879.9
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
1872.9
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1867.0
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
1838.8
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
1832.4
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
1818.2
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
1793.0
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1782.7
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
1753.5
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
1738.7
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
1720.7
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
1711.0
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
1708.1
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
1707.3
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1707.0
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1667.8
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
1650.9
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1629.8
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
1595.5
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1586.2
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1576.8
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1572.5
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
1567.0
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
1555.8
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
1553.4
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1539.1
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1535.8
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
1522.1
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1500.8
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1488.5
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1472.3
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1470.5
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1457.2
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1445.6
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
1440.9
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
1440.7
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
1435.9
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
1430.3
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1413.0
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
1411.3
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1404.9
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1384.5
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
1369.6
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
1347.2
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1345.3
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
1343.5
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
1336.7
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
1330.3
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
1320.9
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1314.5
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
1306.3
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
1305.1
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
1305.0
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1295.3
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1289.6
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1283.6
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1273.9
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
1269.7
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
1265.7
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
1253.3
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1246.8
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
1245.3
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1229.8
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
1212.1
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
1206.8
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
1204.9
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1203.5
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
1202.5
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1192.2
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
1191.5
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
1181.2
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1179.3
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1172.6
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1169.0
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
1165.1
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1154.7
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1152.8
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1152.7
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1151.3
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
1145.7
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1142.3
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
1139.9
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
1131.3
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1123.3
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
1122.5
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
1116.0
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1115.5
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1108.5
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1102.8
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1102.3
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1083.6
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1081.9
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1078.4
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1077.4
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1071.6
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
1070.7
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
1070.7
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
1067.3
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1065.0
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
1063.1
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1059.7
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1057.7
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
1055.8
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1050.4
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
1045.6
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
1044.7
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1039.2
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
1034.9
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
1028.2
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
1026.0
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1022.1
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1019.8
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1016.5
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1016.4
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
1014.0
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1010.6
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1007.7
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1005.2
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1001.6
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
1000.2
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
999.0
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
998.1
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
996.8
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
995.3
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
992.3
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
989.4
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
988.4
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
985.7
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
981.9
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
978.8
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
975.3
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
972.8
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
970.8
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
967.3
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
964.5
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
963.5
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
950.7
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
950.0
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
931.9
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
923.8
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
922.6
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
918.1
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
917.9
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
917.5
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
917.2
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
916.9
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
915.4
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
914.5
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
914.2
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
908.8
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
907.0
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
904.3
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
903.6
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
899.1
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
895.8
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
892.4
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
889.6
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
888.2
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
885.6
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
885.5
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
884.5
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
884.3
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
883.7
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
881.5
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
878.9
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
876.7
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
874.0
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
871.3
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
869.2
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
865.4
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
865.1
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
859.7
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
858.3
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
853.5
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
845.6
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
844.2
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
839.3
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
832.5
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
832.0
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
828.8
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
826.0
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
825.3
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
823.9
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
819.8
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
812.5
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
812.3
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
807.3
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
806.7
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
806.5
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
805.9
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
805.0
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
801.4
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
801.2
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
797.1
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
796.6
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
796.1
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
792.5
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
792.3
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
792.2
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
791.3
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
785.4
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
785.1
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
779.4
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
778.4
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
774.0
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
772.1
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
769.1
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
766.2
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
766.0
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
765.4
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
764.4
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
763.4
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
757.3
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
756.0
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
753.5
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
751.8
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
749.0
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
748.5
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
748.1
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
746.1
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
742.2
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
736.5
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
735.5
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
735.0
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
734.0
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
732.8
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
729.1
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
728.6
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
728.2
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
727.7
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
720.1
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
719.5
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
718.6
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
718.4
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
715.6
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
715.3
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
714.6
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
713.4
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
712.3
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
708.4
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
704.5
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
702.3
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
700.6
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
697.3
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
696.8
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
696.7
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
694.6
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
694.3
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
693.5
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
691.7
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
687.7
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
682.0
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
681.8
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
681.5
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
671.9
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
667.5
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
667.2
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
666.0
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
664.4
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
659.2
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
658.2
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
654.6
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
652.3
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
651.4
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
647.8
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
644.7
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
643.3
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
641.8
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
640.8
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
635.1
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
631.5
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
631.3
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
629.2
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
624.4
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
623.3
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
620.0
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
617.9
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
615.6
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
614.7
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
605.9
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
596.6
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
593.0
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
590.4
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
584.0
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
581.7
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
580.1
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
569.8
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
568.0
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
565.6
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
562.2
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
558.8
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
552.8
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
550.4
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
547.7
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
546.2
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
545.9
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
544.1
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
543.6
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
538.9
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
524.8
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
523.0
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
520.3
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
519.3
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
517.4
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
503.7
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
487.9
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
487.6
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
485.3
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
484.6
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
482.4
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
481.1
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
470.9
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
463.5
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
461.9
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
459.3
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
458.4
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
450.4
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
446.2
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
445.6
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
437.6
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
422.9
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
406.1
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
395.7
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
384.9
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
383.5
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
383.2
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPS7 is validated prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
990.4
Number of samples
231
Samples
Sample
Description
TPM
DO50785
37 years, male, NA, stage:4, dead, 90 days
3739.7
DO45193
68 years, female, NA, stage:4, dead, 120 days
2749.4
DO45093
71 years, male, NA, stage:2, dead, 720 days
2448.7
DO23519
65 years, male, NA, stage:3, alive, 630 days
2431.9
DO45285
59 years, male, NA, stage:3, alive, 480 days
2200.9
DO45259
65 years, male, NA, stage:3, alive, 330 days
2121.2
DO50809
56 years, male, NA, stage:3, dead, 720 days
2034.5
DO50815
62 years, male, NA, stage:3, alive, 150 days
2033.1
DO45217
69 years, female, NA, stage:3, dead, 270 days
2021.2
DO48747
62 years, male, NA, stage:3, alive, 540 days
1939.2
DO23508
79 years, female, NA, stage:2, alive, 390 days
1887.1
DO45145
78 years, male, NA, stage:3, dead, 60 days
1878.5
DO48737
52 years, male, NA, stage:1, alive, 720 days
1856.7
DO48727
81 years, female, NA, stage:2, dead, 390 days
1847.5
DO45237
58 years, male, NA, stage:2, alive, 900 days
1828.4
DO45209
70 years, male, NA, stage:4, alive, 1350 days
1822.1
DO50814
83 years, male, NA, stage:3, alive, 420 days
1815.6
DO23515
71 years, male, NA, stage:2, alive, 1230 days
1812.6
DO45267
73 years, male, NA, stage:3, dead, 570 days
1769.5
DO23516
69 years, male, NA, stage:3, dead, 20 days
1738.6
DO23526
66 years, male, NA, stage:3, alive, 1050 days
1720.4
DO48681
57 years, male, NA, stage:2, alive, 900 days
1718.2
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1704.5
DO45283
60 years, male, NA, stage:3, alive, 510 days
1700.6
DO45289
78 years, female, NA, stage:3, alive, 360 days
1679.6
DO48751
68 years, male, NA, stage:2, dead, 480 days
1671.3
DO23511
83 years, female, NA, stage:3, dead, 180 days
1654.8
DO23545
67 years, male, NA, stage:2, dead, 570 days
1635.7
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1623.3
DO45307
54 years, female, NA, stage:4, dead, 240 days
1621.7
DO48672
81 years, male, NA, stage:2, alive, 450 days
1589.1
DO50806
70 years, male, NA, stage:4, alive, 540 days
1588.3
DO48682
72 years, female, NA, stage:3, dead, 120 days
1560.4
DO45189
85 years, female, NA, stage:2, alive, 1200 days
1559.4
DO45221
75 years, female, NA, stage:4, dead, 390 days
1554.8
DO45173
63 years, male, NA, stage:3, alive, 1170 days
1523.1
DO45251
57 years, female, NA, stage:2, alive, 900 days
1500.5
DO50859
77 years, male, NA, stage:2, alive, 180 days
1494.8
DO23543
63 years, male, NA, stage:2, alive, 1020 days
1477.8
DO45269
59 years, male, NA, stage:3, alive, 750 days
1456.3
DO45127
73 years, male, NA, stage:3, dead, 420 days
1449.3
DO45305
66 years, male, NA, stage:4, alive, 300 days
1428.3
DO23530
53 years, male, NA, stage:4, dead, 180 days
1392.6
DO45161
74 years, male, NA, stage:2, dead, 540 days
1383.2
DO23528
45 years, female, NA, stage:2, alive, 1020 days
1376.5
DO45303
62 years, female, NA, stage:3, alive, 990 days
1374.7
DO48706
72 years, male, NA, stage:2, alive, 870 days
1374.4
DO50799
66 years, female, NA, stage:2, alive, 540 days
1368.7
DO48715
58 years, female, NA, stage:2, dead, 690 days
1355.5
DO50825
70 years, male, NA, stage:2, alive, 390 days
1350.1
DO48697
64 years, female, NA, stage:2, dead, 810 days
1346.5
DO48723
73 years, male, NA, stage:1, alive, 600 days
1343.3
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1311.7
DO45199
86 years, female, NA, stage:2, alive, 1350 days
1303.7
DO45103
47 years, male, NA, stage:3, alive, 450 days
1294.6
DO45211
76 years, male, NA, stage:3, alive, 240 days
1276.0
DO50855
47 years, male, NA, stage:2, alive, 570 days
1268.7
DO45247
31 years, female, NA, stage:2, alive, 210 days
1247.6
DO48730
73 years, female, NA, stage:2, alive, 630 days
1246.6
DO45165
75 years, male, NA, stage:2, alive, 690 days
1219.4
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1216.9
DO45183
72 years, female, NA, stage:2, dead, 570 days
1212.7
DO45287
74 years, male, NA, stage:1, alive, 390 days
1206.2
DO45203
71 years, female, NA, stage:2, alive, 1170 days
1204.8
DO45297
61 years, female, NA, stage:4, dead, 1260 days
1204.8
DO45239
42 years, male, NA, stage:2, alive, 870 days
1196.0
DO45253
50 years, male, NA, stage:2, alive, 870 days
1190.3
DO23540
73 years, male, NA, stage:1, alive, 750 days
1189.6
DO45149
70 years, female, NA, stage:2, alive, 1260 days
1184.8
DO23537
79 years, male, NA, stage:2, dead, 900 days
1181.5
DO48757
68 years, female, NA, stage:3, alive, 480 days
1168.5
DO45273
62 years, male, NA, stage:2, alive, 480 days
1146.1
DO45135
77 years, male, NA, stage:1, alive, 1410 days
1131.2
DO50844
75 years, male, NA, stage:4, alive, 300 days
1123.6
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1091.9
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1089.4
DO50811
62 years, male, NA, stage:1, alive, 450 days
1078.8
DO50805
72 years, male, NA, stage:2, alive, 690 days
1066.9
DO50791
79 years, female, NA, stage:1, dead, 480 days
1065.9
DO45185
89 years, male, NA, stage:2, alive, 600 days
1065.2
DO48759
73 years, male, NA, stage:3, alive, 720 days
1065.0
DO45249
57 years, male, NA, stage:1, alive, 630 days
1063.8
DO45299
70 years, female, NA, stage:1, alive, 1440 days
1059.3
DO45131
53 years, male, NA, stage:4, dead, 360 days
1058.7
DO45191
61 years, female, NA, stage:2, alive, 1200 days
1043.8
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1036.6
DO45261
74 years, male, NA, stage:3, alive, 990 days
1032.2
DO48736
76 years, female, NA, stage:1, alive, 600 days
1021.9
DO45201
49 years, male, NA, stage:1, alive, 900 days
1020.5
DO45275
65 years, male, NA, stage:3, dead, 10 days
1016.9
DO48712
50 years, male, NA, stage:2, alive, 810 days
1015.8
DO45265
73 years, male, NA, stage:3, alive, 1020 days
1015.5
DO45187
32 years, female, NA, stage:1, alive, 1260 days
1015.1
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1013.6
DO50818
65 years, male, NA, stage:2, alive, 510 days
1010.2
DO50793
76 years, male, NA, stage:4, alive, 540 days
1009.7
DO48717
54 years, male, NA, stage:4, dead, 180 days
985.6
DO23533
61 years, male, NA, stage:2, alive, 900 days
985.1
DO48741
64 years, male, NA, stage:3, alive, 240 days
982.8
DO23542
66 years, male, NA, stage:3, alive, 960 days
965.5
DO45281
83 years, male, NA, stage:4, alive, 750 days
964.4
DO45117
73 years, female, NA, stage:2, dead, 1110 days
960.4
DO23510
80 years, female, NA, stage:2, alive, 870 days
952.8
DO45175
74 years, male, NA, stage:2, alive, 1140 days
937.2
DO50840
49 years, male, NA, stage:2, alive, 330 days
935.9
DO45225
69 years, male, NA, stage:1, alive, 1050 days
931.9
DO45097
69 years, male, NA, stage:3, alive, 1620 days
928.6
DO45179
78 years, female, NA, stage:2, alive, 600 days
918.3
DO48725
66 years, male, NA, stage:1, alive, 780 days
916.4
DO23524
71 years, female, NA, stage:2, alive, 1050 days
909.5
DO48721
58 years, female, NA, stage:1, alive, 900 days
909.2
DO45229
74 years, male, NA, stage:1, alive, 990 days
895.5
DO48700
78 years, female, NA, stage:2, alive, 810 days
893.9
DO45141
73 years, male, NA, stage:2, alive, 1320 days
889.2
DO23539
77 years, male, NA, stage:1, alive, 1110 days
885.5
DO45223
67 years, male, NA, stage:4, alive, 1020 days
884.6
DO45277
64 years, male, NA, stage:3, alive, 600 days
883.7
DO23546
63 years, male, NA, stage:2, alive, 1050 days
870.2
DO45119
74 years, male, NA, stage:3, dead, 510 days
858.4
DO45205
67 years, female, NA, stage:2, dead, 90 days
856.5
DO50802
49 years, male, NA, stage:2, alive, 930 days
855.2
DO50804
81 years, male, NA, stage:2, alive, 720 days
854.3
DO50778
60 years, male, NA, stage:4, alive, 630 days
845.0
DO23523
52 years, male, NA, stage:3, alive, 1080 days
838.7
DO50820
77 years, female, NA, stage:3, alive, 510 days
826.4
DO45257
46 years, male, NA, stage:3, alive, 810 days
826.4
DO50789
73 years, female, NA, stage:2, alive, 570 days
819.7
DO50813
56 years, male, NA, stage:2, alive, 420 days
818.2
DO45121
61 years, male, NA, stage:3, alive, 1530 days
817.9
DO23549
74 years, male, NA, stage:3, alive, 990 days
813.8
DO23536
56 years, male, NA, stage:2, alive, 930 days
813.2
DO48720
62 years, female, NA, stage:2, alive, 570 days
796.5
DO45137
38 years, male, NA, stage:1, alive, 1320 days
788.9
DO45301
56 years, male, NA, stage:2, dead, 1440 days
788.8
DO50850
74 years, male, NA, stage:3, alive, 720 days
779.8
DO50829
78 years, male, NA, stage:3, alive, 570 days
779.2
DO50822
66 years, male, NA, stage:2, alive, 510 days
773.0
DO45231
84 years, male, NA, stage:2, alive, 930 days
758.0
DO45279
67 years, male, NA, stage:3, alive, 1290 days
753.5
DO45096
69 years, male, NA, stage:2, dead, 1290 days
751.4
DO48716
71 years, male, NA, stage:2, alive, 720 days
746.6
DO45153
77 years, female, NA, stage:2, alive, 1380 days
743.8
DO48733
72 years, male, NA, stage:2, alive, 600 days
742.9
DO50798
77 years, male, NA, stage:3, dead, 30 days
727.1
DO23513
76 years, male, NA, stage:3, alive, 1200 days
724.0
DO45169
74 years, male, NA, stage:3, alive, 1350 days
723.2
DO45109
63 years, male, NA, stage:2, alive, 1590 days
722.8
DO23547
74 years, male, NA, stage:1, alive, 1020 days
720.4
DO45125
58 years, male, NA, stage:3, alive, 1680 days
718.6
DO45243
74 years, female, NA, stage:3, alive, 930 days
715.2
DO45139
63 years, male, NA, stage:3, alive, 1320 days
709.7
DO23514
64 years, male, NA, stage:2, alive, 1290 days
704.9
DO50816
63 years, male, NA, stage:2, alive, 390 days
703.4
DO48719
80 years, male, NA, stage:2, alive, 690 days
701.1
DO45113
58 years, male, NA, stage:3, alive, 1560 days
695.3
DO45171
56 years, male, NA, stage:3, alive, 600 days
690.0
DO45163
76 years, male, NA, stage:2, alive, 960 days
688.9
DO48693
71 years, male, NA, stage:2, alive, 900 days
684.5
DO45233
83 years, male, NA, stage:3, alive, 900 days
682.9
DO48732
73 years, male, NA, stage:3, alive, 630 days
681.5
DO45091
56 years, male, NA, stage:2, dead, 1320 days
681.0
DO23548
78 years, female, NA, stage:1, alive, 840 days
674.3
DO48728
74 years, female, NA, stage:2, alive, 150 days
674.3
DO45157
62 years, male, NA, stage:2, alive, 1980 days
667.8
DO50808
68 years, male, NA, stage:2, alive, 570 days
665.6
DO48679
72 years, male, NA, stage:2, alive, 1200 days
661.3
DO45123
78 years, female, NA, stage:2, dead, 570 days
658.2
DO50783
62 years, male, NA, stage:3, alive, 480 days
656.1
DO48695
77 years, male, NA, stage:2, alive, 720 days
648.9
DO45177
81 years, female, NA, stage:3, alive, 1260 days
645.7
DO45263
67 years, male, NA, stage:3, dead, 270 days
640.5
DO50800
74 years, male, NA, stage:2, alive, 510 days
639.1
DO50776
75 years, male, NA, stage:1, alive, 690 days
634.0
DO48701
78 years, male, NA, stage:2, alive, 780 days
621.7
DO23534
60 years, male, NA, stage:2, alive, 840 days
619.8
DO48746
76 years, male, NA, stage:3, alive, 570 days
618.6
DO48704
68 years, female, NA, stage:3, alive, 750 days
615.8
DO50817
75 years, male, NA, stage:2, alive, 390 days
614.4
DO227801
77 years, female, NA, stage:1, alive, 660 days
610.1
DO50839
47 years, female, NA, stage:3, alive, 330 days
606.4
DO50774
68 years, female, NA, stage:2, alive, 720 days
585.3
DO45181
84 years, female, NA, stage:2, alive, 1200 days
584.4
DO45255
81 years, male, NA, stage:3, alive, 720 days
578.9
DO48677
58 years, male, NA, stage:3, alive, 1140 days
574.9
DO23512
60 years, male, NA, stage:1, alive, 1260 days
574.2
DO48743
69 years, female, NA, stage:2, alive, 570 days
571.0
DO50857
72 years, male, NA, stage:2, alive, 210 days
566.3
DO48760
70 years, female, NA, stage:2, alive, 690 days
565.4
DO45115
81 years, male, NA, stage:2, alive, 840 days
562.2
DO23541
65 years, male, NA, stage:2, alive, 930 days
554.2
DO45245
75 years, female, NA, stage:2, dead, 240 days
540.5
DO48674
80 years, male, NA, stage:2, alive, 1260 days
538.2
DO48761
55 years, male, NA, stage:2, alive, 870 days
524.4
DO50832
73 years, male, NA, stage:3, alive, 90 days
520.5
DO50807
67 years, male, NA, stage:1, alive, 540 days
520.3
DO45105
61 years, male, NA, stage:1, alive, 1680 days
509.7
DO227643
79 years, male, NA, stage:2, alive, 1260 days
508.8
DO45099
46 years, male, NA, stage:3, alive, 1590 days
502.0
DO45207
68 years, male, NA, stage:1, alive, 1050 days
498.3
DO50787
63 years, male, NA, stage:3, alive, 480 days
498.0
DO23544
67 years, male, NA, stage:2, alive, 960 days
493.9
DO23517
62 years, male, NA, stage:2, alive, 1200 days
488.5
DO45101
63 years, male, NA, stage:2, alive, 1680 days
472.9
DO23535
67 years, male, NA, stage:1, alive, 960 days
470.5
DO23551
73 years, male, NA, stage:3, dead, 150 days
458.2
DO23529
72 years, male, NA, stage:4, alive, 930 days
457.8
DO23518
67 years, male, NA, stage:2, alive, 1320 days
450.9
DO23531
78 years, female, NA, stage:3, alive, 900 days
448.7
DO45215
65 years, male, NA, stage:2, alive, 1170 days
441.3
DO23550
69 years, male, NA, stage:1, alive, 990 days
436.0
DO50819
72 years, female, NA, stage:2, alive, 510 days
433.6
DO23552
80 years, female, NA, stage:1, alive, 810 days
424.8
DO23538
67 years, male, NA, stage:2, alive, 450 days
423.3
DO45155
69 years, male, NA, stage:2, alive, 2160 days
421.6
DO50803
62 years, female, NA, stage:1, alive, 540 days
417.2
DO23532
71 years, female, NA, stage:1, alive, 960 days
413.3
DO45235
68 years, female, NA, stage:1, alive, 900 days
412.6
DO23509
60 years, male, NA, stage:3, dead, 780 days
403.8
DO23527
72 years, male, NA, stage:1, alive, 1050 days
395.4
DO48742
76 years, male, NA, stage:2, alive, 600 days
388.8
DO45195
62 years, male, NA, stage:1, alive, 390 days
385.8
DO45159
65 years, male, NA, stage:3, alive, 1470 days
378.2
DO50845
72 years, male, NA, stage:3, alive, 210 days
372.3
DO45094
76 years, male, NA, stage:3, alive, 1650 days
359.3
DO45133
64 years, male, NA, stage:3, dead, 660 days
355.4
DO45227
57 years, female, NA, stage:2, alive, 1020 days
339.6
DO45111
74 years, male, NA, stage:2, alive, 1590 days
318.1
DO45107
63 years, female, NA, stage:2, alive, 1710 days
315.4
DO45167
67 years, male, NA, stage:2, dead, 1440 days
292.2
DO45129
61 years, male, NA, stage:3, alive, 1470 days
280.8
DO45197
51 years, male, NA, stage:2, alive, 1170 days
242.6
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LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
113
Tumor
0.6
128
Normal
0.4
537
Tumor
0.4
557
Tumor
0.4
112
Tumor
0.3
114
Normal
0.3
285
Tumor
0.3
111
Normal
0.3
127
Tumor
0.3
124
Normal
0.3
331
Tumor
0.3
1027
Tumor
0.3
567
Tumor
0.2
497
Tumor
0.2
1021
Tumor
0.2
126
Normal
0.2
467
Tumor
0.2
223
Tumor
0.2
957
Tumor
0.2
367
Tumor
0.2
965
Tumor
0.2
311
Tumor
0.2
327
Tumor
0.2
636
Normal
0.2
983
Tumor
0.2
481
Tumor
0.2
944
Normal
0.2
967
Tumor
0.2
227
Tumor
0.2
332
Normal
0.2
724
Normal
0.2
727
Tumor
0.2
387
Tumor
0.2
573
Tumor
0.2
937
Tumor
0.2
488
Normal
0.2
145
Tumor
0.2
353
Tumor
0.2
926
Normal
0.2
685
Tumor
0.1
393
Tumor
0.1
231
Tumor
0.1
443
Tumor
0.1
478
Normal
0.1
617
Tumor
0.1
351
Tumor
0.1
123
Tumor
0.1
395
Tumor
0.1
524
Normal
0.1
1025
Tumor
0.1
955
Tumor
0.1
195
Tumor
0.1
352
Normal
0.1
222
Normal
0.1
385
Tumor
0.1
938
Normal
0.1
267
Tumor
0.1
978
Normal
0.1
125
Tumor
0.1
922
Normal
0.1
492
Normal
0.1
981
Tumor
0.1
966
Normal
0.1
413
Tumor
0.1
472
Normal
0.1
526
Normal
0.1
136
Normal
0.1
191
Tumor
0.1
284
Normal
0.1
135
Tumor
0.1
196
Normal
0.1
525
Tumor
0.1
958
Normal
0.1
312
Normal
0.1
212
Normal
0.1
713
Tumor
0.1
262
Normal
0.1
286
Normal
0.1
951
Tumor
0.1
142
Normal
0.1
953
Tumor
0.1
494
Normal
0.1
493
Tumor
0.1
214
Normal
0.1
228
Normal
0.1
432
Normal
0.1
355
Tumor
0.1
536
Normal
0.1
221
Tumor
0.1
297
Tumor
0.1
964
Normal
0.1
517
Tumor
0.1
447
Tumor
0.0
363
Tumor
0.0
446
Normal
0.0
514
Normal
0.0
473
Tumor
0.0
523
Tumor
0.0
482
Normal
0.0
661
Tumor
0.0
545
Tumor
0.0
132
Normal
0.0
616
Normal
0.0
527
Tumor
0.0
728
Normal
0.0
923
Tumor
0.0
257
Tumor
0.0
696
Normal
0.0
918
Normal
0.0
414
Normal
0.0
723
Tumor
0.0
963
Tumor
0.0
558
Normal
0.0
518
Normal
0.0
968
Normal
0.0
546
Normal
0.0
162
Normal
0.0
298
Normal
0.0
278
Normal
0.0
851
Tumor
0.0
138
Normal
0.0
533
Tumor
0.0
976
Normal
0.0
484
Normal
0.0
217
Tumor
0.0
435
Tumor
0.0
445
Tumor
0.0
864
Normal
0.0
232
Normal
0.0
356
Normal
0.0
394
Normal
0.0
342
Normal
0.0
1026
Normal
0.0
925
Tumor
0.0
444
Normal
0.0
314
Normal
0.0
628
Normal
0.0
1014
Normal
0.0
283
Tumor
0.0
743
Tumor
0.0
777
Tumor
0.0
261
Tumor
0.0
535
Tumor
0.0
272
Normal
0.0
146
Normal
0.0
218
Normal
0.0
391
Tumor
0.0
424
Normal
0.0
528
Normal
0.0
131
Tumor
0.0
815
Tumor
0.0
924
Normal
0.0
666
Normal
0.0
483
Tumor
0.0
358
Normal
0.0
462
Normal
0.0
756
Normal
0.0
425
Tumor
0.0
1032
Normal
0.0
516
Normal
0.0
468
Normal
0.0
451
Tumor
0.0
662
Normal
0.0
956
Normal
0.0
912
Normal
0.0
738
Normal
0.0
491
Tumor
0.0
943
Tumor
0.0
376
Normal
0.0
466
Normal
0.0
954
Normal
0.0
715
Tumor
0.0
137
Tumor
0.0
515
Tumor
-0.1
187
Tumor
-0.1
618
Normal
-0.1
952
Normal
-0.1
422
Normal
-0.1
362
Normal
-0.1
737
Tumor
-0.1
431
Tumor
-0.1
268
Normal
-0.1
1031
Tumor
-0.1
858
Normal
-0.1
224
Normal
-0.1
697
Tumor
-0.1
916
Normal
-0.1
878
Normal
-0.1
873
Tumor
-0.1
434
Normal
-0.1
436
Normal
-0.1
984
Normal
-0.1
474
Normal
-0.1
392
Normal
-0.1
428
Normal
-0.1
258
Normal
-0.1
421
Tumor
-0.1
982
Normal
-0.1
344
Normal
-0.1
534
Normal
-0.1
868
Normal
-0.1
1015
Tumor
-0.1
877
Tumor
-0.1
571
Tumor
-0.1
412
Normal
-0.1
433
Tumor
-0.1
824
Normal
-0.1
778
Normal
-0.1
213
Tumor
-0.1
915
Tumor
-0.1
411
Tumor
-0.1
564
Normal
-0.1
465
Tumor
-0.1
882
Normal
-0.1
554
Normal
-0.1
714
Normal
-0.1
388
Normal
-0.1
1042
Normal
-0.1
745
Tumor
-0.1
328
Normal
-0.1
914
Normal
-0.1
463
Tumor
-0.1
686
Normal
-0.1
615
Tumor
-0.1
464
Normal
-0.1
448
Normal
-0.1
816
Normal
-0.1
568
Normal
-0.1
977
Tumor
-0.1
172
Normal
-0.1
1044
Normal
-0.1
368
Normal
-0.1
354
Normal
-0.1
455
Tumor
-0.1
572
Normal
-0.1
716
Normal
-0.1
866
Normal
-0.1
861
Tumor
-0.1
471
Tumor
-0.1
563
Tumor
-0.1
147
Tumor
-0.1
755
Tumor
-0.1
513
Tumor
-0.1
498
Normal
-0.1
426
Normal
-0.1
1016
Normal
-0.1
186
Normal
-0.1
671
Tumor
-0.1
823
Tumor
-0.1
313
Tumor
-0.1
427
Tumor
-0.1
648
Normal
-0.1
384
Normal
-0.1
862
Normal
-0.1
386
Normal
-0.1
913
Tumor
-0.1
742
Normal
-0.1
1046
Normal
-0.1
664
Normal
-0.1
396
Normal
-0.1
975
Tumor
-0.1
865
Tumor
-0.1
1013
Tumor
-0.1
722
Normal
-0.1
921
Tumor
-0.2
647
Tumor
-0.2
881
Tumor
-0.2
818
Normal
-0.2
343
Tumor
-0.2
785
Tumor
-0.2
375
Tumor
-0.2
364
Normal
-0.2
188
Normal
-0.2
1022
Normal
-0.2
884
Normal
-0.2
1028
Normal
-0.2
452
Normal
-0.2
211
Tumor
-0.2
148
Normal
-0.2
192
Normal
-0.2
642
Normal
-0.2
852
Normal
-0.2
721
Tumor
-0.2
635
Tumor
-0.2
1041
Tumor
-0.2
161
Tumor
-0.2
744
Normal
-0.2
271
Tumor
-0.2
361
Tumor
-0.2
366
Normal
-0.2
641
Tumor
-0.2
487
Tumor
-0.2
423
Tumor
-0.2
538
Normal
-0.2
477
Tumor
-0.2
185
Tumor
-0.2
813
Tumor
-0.2
1043
Tumor
-0.2
665
Tumor
-0.2
746
Normal
-0.2
365
Tumor
-0.2
883
Tumor
-0.2
461
Tumor
-0.2
786
Normal
-0.2
415
Tumor
-0.2
817
Tumor
-0.2
814
Normal
-0.2
341
Tumor
-0.2
874
Normal
-0.2
357
Tumor
-0.3
917
Tumor
-0.3
695
Tumor
-0.3
574
Normal
-0.3
416
Normal
-0.3
741
Tumor
-0.3
698
Normal
-0.3
171
Tumor
-0.3
553
Tumor
-0.3
663
Tumor
-0.3
141
Tumor
-0.3
672
Normal
-0.3
627
Tumor
-0.3
911
Tumor
-0.3
456
Normal
-0.3
857
Tumor
-0.3
383
Tumor
-0.3
867
Tumor
-0.3
277
Tumor
-0.4
863
Tumor
-0.4
1045
Tumor
-0.8
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LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.