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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.
RPS23 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.
: 1.63
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.000097
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.
33%
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.
53%
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
917.8
Number of samples
362
Samples
Sample
Description
TPM
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
4592.6
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
3635.4
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
3154.2
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
3024.1
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
2666.4
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
2659.9
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
2453.5
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
2370.1
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
2369.6
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
2369.3
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
2346.5
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
2225.5
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
2181.8
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
2166.9
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
2160.8
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
2160.5
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
2142.4
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
2069.8
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
2069.1
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
1955.2
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1795.5
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
1725.1
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
1724.4
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1720.8
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
1717.3
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
1713.1
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1690.8
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
1684.8
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
1642.6
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1610.0
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1586.4
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
1583.5
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
1578.0
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
1542.1
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
1539.1
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
1538.1
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
1537.0
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
1532.9
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1524.8
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1520.8
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1486.3
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
1482.0
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1472.9
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
1470.9
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1453.8
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
1445.3
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1441.1
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1434.1
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1425.7
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1417.0
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
1415.6
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
1406.2
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
1373.2
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1367.1
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
1356.3
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1354.5
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
1353.6
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1342.8
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
1330.2
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1328.9
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1314.8
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
1302.2
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
1300.5
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
1296.1
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
1283.1
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
1280.6
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
1279.6
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
1276.1
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
1274.0
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
1271.2
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1236.9
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1236.2
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
1232.4
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
1224.2
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1218.7
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
1212.9
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
1212.1
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1211.5
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1199.9
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1193.5
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1192.1
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1192.0
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1140.1
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
1139.7
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1138.2
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1136.9
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1136.7
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1131.3
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1126.1
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1118.7
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1115.4
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1097.4
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
1084.1
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
1082.4
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1074.6
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1073.2
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
1071.5
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
1069.5
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1066.3
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
1062.8
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
1062.0
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1060.5
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1038.2
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1037.5
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
1032.9
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
1014.1
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1013.9
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1006.1
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1005.9
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1005.7
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
1001.1
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1000.6
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
999.3
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
994.3
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
993.8
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
993.8
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
988.3
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
978.1
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
970.9
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
970.5
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
966.3
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
963.6
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
962.6
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
960.4
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
957.8
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
952.9
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
947.0
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
941.3
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
935.6
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
933.3
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
930.1
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
930.0
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
928.4
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
928.1
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
927.6
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
918.1
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
911.8
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
907.6
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
903.4
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
903.0
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
901.9
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
897.9
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
897.4
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
888.3
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
887.9
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
887.1
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
880.2
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
879.6
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
876.3
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
859.9
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
854.7
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
851.3
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
850.0
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
850.0
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
847.4
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
844.1
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
836.1
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
833.3
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
830.7
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
830.7
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
829.8
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
829.5
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
828.3
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
825.7
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
825.7
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
823.3
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
821.1
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
817.5
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
816.1
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
814.8
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
813.2
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
807.8
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
804.2
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
802.8
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
800.1
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
798.7
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
795.1
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
793.2
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
787.5
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
787.4
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
786.3
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
783.3
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
781.4
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
778.6
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
777.7
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
775.2
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
774.5
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
774.5
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
770.8
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
768.9
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
763.4
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
762.1
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
757.4
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
757.4
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
755.0
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
753.8
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
750.0
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
745.6
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
745.1
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
741.6
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
737.8
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
736.7
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
734.7
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
732.5
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
729.2
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
729.0
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
721.9
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
718.6
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
717.6
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
717.0
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
715.8
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
712.5
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
709.2
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
708.1
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
701.8
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
694.9
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
692.8
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
688.1
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
687.9
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
686.1
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
685.9
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
683.8
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
682.6
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
680.1
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
679.4
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
676.4
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
673.4
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
671.1
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
670.0
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
668.4
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
667.2
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
664.6
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
658.8
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
657.3
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
655.4
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
654.5
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
649.4
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
649.4
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
647.7
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
647.0
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
645.0
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
641.5
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
639.0
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
638.7
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
636.7
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
636.6
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
627.5
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
627.5
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
621.0
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
619.2
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
619.2
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
615.3
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
610.3
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
607.4
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
603.9
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
601.5
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
598.8
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
597.0
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
595.4
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
594.2
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
591.2
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
591.0
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
588.6
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
584.2
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
581.8
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
581.2
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
578.9
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
573.3
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
572.8
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
572.1
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
561.7
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
558.3
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
557.3
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
556.2
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
552.9
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
551.1
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
547.4
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
547.1
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
547.1
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
546.3
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
545.6
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
540.7
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
538.8
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
530.7
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
528.2
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
526.5
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
524.6
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
522.4
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
521.2
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
513.4
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
511.0
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
510.1
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
508.3
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
506.6
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
505.6
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
505.2
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
504.4
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
501.4
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
501.0
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
498.2
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
498.1
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
497.7
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
496.1
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
496.0
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
490.7
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
490.5
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
484.4
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
484.3
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
483.1
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
470.5
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
468.9
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
461.3
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
460.4
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
457.9
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
456.6
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
450.7
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
447.2
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
447.0
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
440.7
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
440.4
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
439.8
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
438.0
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
437.6
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
430.7
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
426.8
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
423.4
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
419.8
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
418.4
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
417.7
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
416.2
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
410.6
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
406.9
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
399.1
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
399.0
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
393.4
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
386.9
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
386.7
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
382.6
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
375.7
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
372.9
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
362.6
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
355.6
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
350.0
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
343.6
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
338.2
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
337.2
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
335.9
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
335.8
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
335.2
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
331.7
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
325.6
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
319.3
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
315.7
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
306.1
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
294.3
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
293.4
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
290.2
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
284.7
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
225.2
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
184.2
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
162.3
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 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.
RPS23 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.
: 2.14
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.000013
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.
0%
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.
71%
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
174.0
Number of samples
231
Samples
Sample
Description
TPM
DO23545
67 years, male, NA, stage:2, dead, 570 days
860.9
DO45285
59 years, male, NA, stage:3, alive, 480 days
575.6
DO23515
71 years, male, NA, stage:2, alive, 1230 days
513.0
DO45097
69 years, male, NA, stage:3, alive, 1620 days
459.7
DO50814
83 years, male, NA, stage:3, alive, 420 days
454.4
DO45189
85 years, female, NA, stage:2, alive, 1200 days
453.6
DO50785
37 years, male, NA, stage:4, dead, 90 days
453.6
DO45289
78 years, female, NA, stage:3, alive, 360 days
449.3
DO45303
62 years, female, NA, stage:3, alive, 990 days
417.5
DO45221
75 years, female, NA, stage:4, dead, 390 days
359.3
DO50825
70 years, male, NA, stage:2, alive, 390 days
358.7
DO48723
73 years, male, NA, stage:1, alive, 600 days
347.8
DO45145
78 years, male, NA, stage:3, dead, 60 days
344.1
DO23519
65 years, male, NA, stage:3, alive, 630 days
334.0
DO48737
52 years, male, NA, stage:1, alive, 720 days
332.8
DO23508
79 years, female, NA, stage:2, alive, 390 days
315.4
DO45305
66 years, male, NA, stage:4, alive, 300 days
309.3
DO23530
53 years, male, NA, stage:4, dead, 180 days
304.5
DO45163
76 years, male, NA, stage:2, alive, 960 days
304.2
DO45307
54 years, female, NA, stage:4, dead, 240 days
295.8
DO48682
72 years, female, NA, stage:3, dead, 120 days
295.6
DO45259
65 years, male, NA, stage:3, alive, 330 days
293.0
DO45269
59 years, male, NA, stage:3, alive, 750 days
290.6
DO45119
74 years, male, NA, stage:3, dead, 510 days
286.1
DO45103
47 years, male, NA, stage:3, alive, 450 days
282.0
DO50859
77 years, male, NA, stage:2, alive, 180 days
281.2
DO45095
66 years, male, NA, stage:2, alive, 1620 days
281.2
DO45283
60 years, male, NA, stage:3, alive, 510 days
280.1
DO48715
58 years, female, NA, stage:2, dead, 690 days
280.0
DO45161
74 years, male, NA, stage:2, dead, 540 days
279.4
DO48697
64 years, female, NA, stage:2, dead, 810 days
268.8
DO45135
77 years, male, NA, stage:1, alive, 1410 days
265.8
DO50806
70 years, male, NA, stage:4, alive, 540 days
265.2
DO23533
61 years, male, NA, stage:2, alive, 900 days
256.8
DO45127
73 years, male, NA, stage:3, dead, 420 days
252.1
DO45297
61 years, female, NA, stage:4, dead, 1260 days
251.0
DO50855
47 years, male, NA, stage:2, alive, 570 days
250.9
DO50783
62 years, male, NA, stage:3, alive, 480 days
243.8
DO23528
45 years, female, NA, stage:2, alive, 1020 days
241.4
DO45173
63 years, male, NA, stage:3, alive, 1170 days
240.7
DO50857
72 years, male, NA, stage:2, alive, 210 days
236.6
DO45183
72 years, female, NA, stage:2, dead, 570 days
235.1
DO48741
64 years, male, NA, stage:3, alive, 240 days
233.9
DO45091
56 years, male, NA, stage:2, dead, 1320 days
233.7
DO48751
68 years, male, NA, stage:2, dead, 480 days
231.2
DO45265
73 years, male, NA, stage:3, alive, 1020 days
230.0
DO23516
69 years, male, NA, stage:3, dead, 20 days
227.5
DO50811
62 years, male, NA, stage:1, alive, 450 days
227.2
DO48730
73 years, female, NA, stage:2, alive, 630 days
226.5
DO45261
74 years, male, NA, stage:3, alive, 990 days
225.9
DO45117
73 years, female, NA, stage:2, dead, 1110 days
225.0
DO45287
74 years, male, NA, stage:1, alive, 390 days
224.7
DO45249
57 years, male, NA, stage:1, alive, 630 days
223.8
DO45187
32 years, female, NA, stage:1, alive, 1260 days
223.6
DO45093
71 years, male, NA, stage:2, dead, 720 days
217.5
DO45247
31 years, female, NA, stage:2, alive, 210 days
217.0
DO45179
78 years, female, NA, stage:2, alive, 600 days
216.5
DO48759
73 years, male, NA, stage:3, alive, 720 days
216.4
DO48747
62 years, male, NA, stage:3, alive, 540 days
214.8
DO45143
69 years, male, NA, stage:3, alive, 1290 days
212.4
DO45165
75 years, male, NA, stage:2, alive, 690 days
209.4
DO45219
78 years, male, NA, stage:2, alive, 1080 days
209.0
DO23536
56 years, male, NA, stage:2, alive, 930 days
207.3
DO45203
71 years, female, NA, stage:2, alive, 1170 days
206.5
DO45175
74 years, male, NA, stage:2, alive, 1140 days
203.2
DO48672
81 years, male, NA, stage:2, alive, 450 days
200.0
DO50793
76 years, male, NA, stage:4, alive, 540 days
200.0
DO45171
56 years, male, NA, stage:3, alive, 600 days
198.5
DO50778
60 years, male, NA, stage:4, alive, 630 days
197.8
DO45193
68 years, female, NA, stage:4, dead, 120 days
196.3
DO45279
67 years, male, NA, stage:3, alive, 1290 days
196.1
DO45199
86 years, female, NA, stage:2, alive, 1350 days
195.7
DO48706
72 years, male, NA, stage:2, alive, 870 days
195.0
DO48736
76 years, female, NA, stage:1, alive, 600 days
194.7
DO45213
58 years, male, NA, stage:1, alive, 1200 days
192.8
DO50844
75 years, male, NA, stage:4, alive, 300 days
190.9
DO23537
79 years, male, NA, stage:2, dead, 900 days
189.4
DO50802
49 years, male, NA, stage:2, alive, 930 days
188.8
DO50809
56 years, male, NA, stage:3, dead, 720 days
185.8
DO45277
64 years, male, NA, stage:3, alive, 600 days
185.7
DO45169
74 years, male, NA, stage:3, alive, 1350 days
184.8
DO45273
62 years, male, NA, stage:2, alive, 480 days
184.4
DO48720
62 years, female, NA, stage:2, alive, 570 days
183.9
DO48693
71 years, male, NA, stage:2, alive, 900 days
181.6
DO45157
62 years, male, NA, stage:2, alive, 1980 days
179.9
DO50815
62 years, male, NA, stage:3, alive, 150 days
177.9
DO48681
57 years, male, NA, stage:2, alive, 900 days
177.6
DO45217
69 years, female, NA, stage:3, dead, 270 days
177.4
DO48725
66 years, male, NA, stage:1, alive, 780 days
176.9
DO45225
69 years, male, NA, stage:1, alive, 1050 days
176.2
DO45231
84 years, male, NA, stage:2, alive, 930 days
174.0
DO45239
42 years, male, NA, stage:2, alive, 870 days
171.3
DO23525
71 years, male, NA, stage:4, alive, 1050 days
170.1
DO23521
63 years, male, NA, stage:3, alive, 1110 days
169.7
DO45227
57 years, female, NA, stage:2, alive, 1020 days
168.9
DO45267
73 years, male, NA, stage:3, dead, 570 days
168.5
DO45141
73 years, male, NA, stage:2, alive, 1320 days
167.2
DO48727
81 years, female, NA, stage:2, dead, 390 days
166.9
DO45251
57 years, female, NA, stage:2, alive, 900 days
166.6
DO45139
63 years, male, NA, stage:3, alive, 1320 days
166.3
DO45099
46 years, male, NA, stage:3, alive, 1590 days
166.0
DO48679
72 years, male, NA, stage:2, alive, 1200 days
165.3
DO23523
52 years, male, NA, stage:3, alive, 1080 days
165.2
DO48712
50 years, male, NA, stage:2, alive, 810 days
164.4
DO50822
66 years, male, NA, stage:2, alive, 510 days
164.0
DO50820
77 years, female, NA, stage:3, alive, 510 days
161.4
DO50850
74 years, male, NA, stage:3, alive, 720 days
160.3
DO45257
46 years, male, NA, stage:3, alive, 810 days
160.0
DO45241
49 years, male, NA, stage:1, alive, 1080 days
160.0
DO23542
66 years, male, NA, stage:3, alive, 960 days
159.6
DO45299
70 years, female, NA, stage:1, alive, 1440 days
159.0
DO50791
79 years, female, NA, stage:1, dead, 480 days
158.2
DO50839
47 years, female, NA, stage:3, alive, 330 days
157.8
DO45133
64 years, male, NA, stage:3, dead, 660 days
157.7
DO50805
72 years, male, NA, stage:2, alive, 690 days
156.1
DO45185
89 years, male, NA, stage:2, alive, 600 days
155.4
DO45281
83 years, male, NA, stage:4, alive, 750 days
153.7
DO23538
67 years, male, NA, stage:2, alive, 450 days
153.5
DO45211
76 years, male, NA, stage:3, alive, 240 days
152.8
DO23541
65 years, male, NA, stage:2, alive, 930 days
150.1
DO50776
75 years, male, NA, stage:1, alive, 690 days
149.9
DO23518
67 years, male, NA, stage:2, alive, 1320 days
149.3
DO45092
62 years, male, NA, stage:4, dead, 1200 days
148.6
DO45223
67 years, male, NA, stage:4, alive, 1020 days
146.9
DO45253
50 years, male, NA, stage:2, alive, 870 days
146.8
DO45096
69 years, male, NA, stage:2, dead, 1290 days
144.6
DO45229
74 years, male, NA, stage:1, alive, 990 days
143.4
DO48721
58 years, female, NA, stage:1, alive, 900 days
141.6
DO50829
78 years, male, NA, stage:3, alive, 570 days
141.0
DO45201
49 years, male, NA, stage:1, alive, 900 days
139.9
DO45191
61 years, female, NA, stage:2, alive, 1200 days
139.1
DO48728
74 years, female, NA, stage:2, alive, 150 days
139.1
DO50800
74 years, male, NA, stage:2, alive, 510 days
138.8
DO48732
73 years, male, NA, stage:3, alive, 630 days
137.3
DO48700
78 years, female, NA, stage:2, alive, 810 days
135.8
DO50808
68 years, male, NA, stage:2, alive, 570 days
132.8
DO45113
58 years, male, NA, stage:3, alive, 1560 days
131.5
DO45255
81 years, male, NA, stage:3, alive, 720 days
130.1
DO45181
84 years, female, NA, stage:2, alive, 1200 days
130.1
DO48746
76 years, male, NA, stage:3, alive, 570 days
129.8
DO48733
72 years, male, NA, stage:2, alive, 600 days
129.5
DO45243
74 years, female, NA, stage:3, alive, 930 days
127.2
DO50789
73 years, female, NA, stage:2, alive, 570 days
126.6
DO50799
66 years, female, NA, stage:2, alive, 540 days
126.4
DO45177
81 years, female, NA, stage:3, alive, 1260 days
125.1
DO23510
80 years, female, NA, stage:2, alive, 870 days
124.9
DO48677
58 years, male, NA, stage:3, alive, 1140 days
124.5
DO23543
63 years, male, NA, stage:2, alive, 1020 days
124.5
DO45275
65 years, male, NA, stage:3, dead, 10 days
124.3
DO50832
73 years, male, NA, stage:3, alive, 90 days
123.9
DO23529
72 years, male, NA, stage:4, alive, 930 days
121.1
DO45233
83 years, male, NA, stage:3, alive, 900 days
119.8
DO45209
70 years, male, NA, stage:4, alive, 1350 days
119.5
DO48695
77 years, male, NA, stage:2, alive, 720 days
119.0
DO227801
77 years, female, NA, stage:1, alive, 660 days
117.9
DO45159
65 years, male, NA, stage:3, alive, 1470 days
117.5
DO45121
61 years, male, NA, stage:3, alive, 1530 days
117.4
DO45235
68 years, female, NA, stage:1, alive, 900 days
116.8
DO45115
81 years, male, NA, stage:2, alive, 840 days
116.3
DO23527
72 years, male, NA, stage:1, alive, 1050 days
116.0
DO50774
68 years, female, NA, stage:2, alive, 720 days
114.0
DO50798
77 years, male, NA, stage:3, dead, 30 days
113.9
DO48757
68 years, female, NA, stage:3, alive, 480 days
113.8
DO50804
81 years, male, NA, stage:2, alive, 720 days
113.7
DO45137
38 years, male, NA, stage:1, alive, 1320 days
113.6
DO23514
64 years, male, NA, stage:2, alive, 1290 days
113.3
DO45153
77 years, female, NA, stage:2, alive, 1380 days
113.2
DO50813
56 years, male, NA, stage:2, alive, 420 days
112.2
DO45237
58 years, male, NA, stage:2, alive, 900 days
111.8
DO48674
80 years, male, NA, stage:2, alive, 1260 days
111.2
DO45123
78 years, female, NA, stage:2, dead, 570 days
110.1
DO23526
66 years, male, NA, stage:3, alive, 1050 days
110.0
DO48719
80 years, male, NA, stage:2, alive, 690 days
108.7
DO50819
72 years, female, NA, stage:2, alive, 510 days
107.9
DO45149
70 years, female, NA, stage:2, alive, 1260 days
107.8
DO45245
75 years, female, NA, stage:2, dead, 240 days
106.2
DO45109
63 years, male, NA, stage:2, alive, 1590 days
105.0
DO50807
67 years, male, NA, stage:1, alive, 540 days
104.6
DO48742
76 years, male, NA, stage:2, alive, 600 days
104.0
DO50787
63 years, male, NA, stage:3, alive, 480 days
102.9
DO45207
68 years, male, NA, stage:1, alive, 1050 days
100.6
DO23531
78 years, female, NA, stage:3, alive, 900 days
100.3
DO23547
74 years, male, NA, stage:1, alive, 1020 days
100.3
DO50840
49 years, male, NA, stage:2, alive, 330 days
100.1
DO23539
77 years, male, NA, stage:1, alive, 1110 days
99.8
DO48717
54 years, male, NA, stage:4, dead, 180 days
99.0
DO23524
71 years, female, NA, stage:2, alive, 1050 days
97.5
DO23509
60 years, male, NA, stage:3, dead, 780 days
97.4
DO23517
62 years, male, NA, stage:2, alive, 1200 days
97.4
DO50818
65 years, male, NA, stage:2, alive, 510 days
97.4
DO23513
76 years, male, NA, stage:3, alive, 1200 days
96.8
DO48761
55 years, male, NA, stage:2, alive, 870 days
95.3
DO48704
68 years, female, NA, stage:3, alive, 750 days
93.2
DO45129
61 years, male, NA, stage:3, alive, 1470 days
92.9
DO23511
83 years, female, NA, stage:3, dead, 180 days
92.7
DO45301
56 years, male, NA, stage:2, dead, 1440 days
92.7
DO227643
79 years, male, NA, stage:2, alive, 1260 days
91.4
DO23549
74 years, male, NA, stage:3, alive, 990 days
91.3
DO50803
62 years, female, NA, stage:1, alive, 540 days
90.3
DO48743
69 years, female, NA, stage:2, alive, 570 days
89.8
DO23551
73 years, male, NA, stage:3, dead, 150 days
87.8
DO23535
67 years, male, NA, stage:1, alive, 960 days
87.4
DO23546
63 years, male, NA, stage:2, alive, 1050 days
86.7
DO45263
67 years, male, NA, stage:3, dead, 270 days
85.6
DO45131
53 years, male, NA, stage:4, dead, 360 days
85.5
DO23544
67 years, male, NA, stage:2, alive, 960 days
82.3
DO23548
78 years, female, NA, stage:1, alive, 840 days
80.2
DO23540
73 years, male, NA, stage:1, alive, 750 days
80.1
DO45197
51 years, male, NA, stage:2, alive, 1170 days
79.5
DO50817
75 years, male, NA, stage:2, alive, 390 days
78.7
DO45094
76 years, male, NA, stage:3, alive, 1650 days
77.9
DO45111
74 years, male, NA, stage:2, alive, 1590 days
77.8
DO45205
67 years, female, NA, stage:2, dead, 90 days
76.8
DO48716
71 years, male, NA, stage:2, alive, 720 days
75.9
DO23512
60 years, male, NA, stage:1, alive, 1260 days
75.2
DO23550
69 years, male, NA, stage:1, alive, 990 days
73.5
DO45125
58 years, male, NA, stage:3, alive, 1680 days
73.0
DO50816
63 years, male, NA, stage:2, alive, 390 days
72.5
DO45215
65 years, male, NA, stage:2, alive, 1170 days
71.0
DO48760
70 years, female, NA, stage:2, alive, 690 days
68.9
DO45195
62 years, male, NA, stage:1, alive, 390 days
66.7
DO50845
72 years, male, NA, stage:3, alive, 210 days
64.4
DO45155
69 years, male, NA, stage:2, alive, 2160 days
63.1
DO45101
63 years, male, NA, stage:2, alive, 1680 days
58.2
DO48701
78 years, male, NA, stage:2, alive, 780 days
55.5
DO23534
60 years, male, NA, stage:2, alive, 840 days
53.6
DO23552
80 years, female, NA, stage:1, alive, 810 days
41.5
DO45167
67 years, male, NA, stage:2, dead, 1440 days
39.3
DO23532
71 years, female, NA, stage:1, alive, 960 days
34.2
DO45105
61 years, male, NA, stage:1, alive, 1680 days
34.0
DO45107
63 years, female, NA, stage:2, alive, 1710 days
34.0
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
851
Tumor
0.5
223
Tumor
0.5
727
Tumor
0.4
131
Tumor
0.4
745
Tumor
0.4
557
Tumor
0.4
815
Tumor
0.3
327
Tumor
0.3
715
Tumor
0.3
685
Tumor
0.3
852
Normal
0.3
721
Tumor
0.3
824
Normal
0.3
912
Normal
0.3
737
Tumor
0.3
227
Tumor
0.3
286
Normal
0.2
858
Normal
0.2
786
Normal
0.2
755
Tumor
0.2
778
Normal
0.2
212
Normal
0.2
723
Tumor
0.2
285
Tumor
0.2
724
Normal
0.2
884
Normal
0.2
913
Tumor
0.2
743
Tumor
0.2
983
Tumor
0.2
981
Tumor
0.2
722
Normal
0.2
746
Normal
0.2
938
Normal
0.2
546
Normal
0.2
1032
Normal
0.2
738
Normal
0.2
517
Tumor
0.2
756
Normal
0.1
816
Normal
0.1
537
Tumor
0.1
284
Normal
0.1
818
Normal
0.1
686
Normal
0.1
567
Tumor
0.1
696
Normal
0.1
145
Tumor
0.1
864
Normal
0.1
568
Normal
0.1
716
Normal
0.1
353
Tumor
0.1
142
Normal
0.1
228
Normal
0.1
448
Normal
0.1
558
Normal
0.1
1014
Normal
0.1
224
Normal
0.1
728
Normal
0.1
911
Tumor
0.1
523
Tumor
0.1
497
Tumor
0.1
714
Normal
0.1
1026
Normal
0.1
356
Normal
0.1
984
Normal
0.1
978
Normal
0.1
965
Tumor
0.1
865
Tumor
0.1
777
Tumor
0.1
436
Normal
0.1
572
Normal
0.1
526
Normal
0.1
421
Tumor
0.1
564
Normal
0.1
883
Tumor
0.1
528
Normal
0.1
393
Tumor
0.1
857
Tumor
0.1
113
Tumor
0.1
136
Normal
0.1
467
Tumor
0.1
1025
Tumor
0.1
351
Tumor
0.1
698
Normal
0.1
443
Tumor
0.1
785
Tumor
0.1
466
Normal
0.1
968
Normal
0.1
877
Tumor
0.1
463
Tumor
0.1
328
Normal
0.1
617
Tumor
0.1
395
Tumor
0.1
367
Tumor
0.1
823
Tumor
0.1
713
Tumor
0.0
412
Normal
0.0
545
Tumor
0.0
628
Normal
0.0
1046
Normal
0.0
648
Normal
0.0
953
Tumor
0.0
861
Tumor
0.0
1016
Normal
0.0
944
Normal
0.0
422
Normal
0.0
462
Normal
0.0
481
Tumor
0.0
573
Tumor
0.0
817
Tumor
0.0
363
Tumor
0.0
616
Normal
0.0
392
Normal
0.0
358
Normal
0.0
135
Tumor
0.0
882
Normal
0.0
967
Tumor
0.0
1044
Normal
0.0
661
Tumor
0.0
862
Normal
0.0
636
Normal
0.0
424
Normal
0.0
1022
Normal
0.0
214
Normal
0.0
455
Tumor
0.0
695
Tumor
0.0
1028
Normal
0.0
1043
Tumor
0.0
411
Tumor
0.0
982
Normal
0.0
357
Tumor
0.0
866
Normal
0.0
431
Tumor
0.0
914
Normal
0.0
355
Tumor
0.0
536
Normal
0.0
452
Normal
0.0
926
Normal
0.0
514
Normal
0.0
352
Normal
0.0
414
Normal
0.0
464
Normal
0.0
267
Tumor
0.0
527
Tumor
0.0
524
Normal
0.0
434
Normal
0.0
878
Normal
0.0
535
Tumor
0.0
1013
Tumor
0.0
976
Normal
0.0
1021
Tumor
0.0
331
Tumor
0.0
966
Normal
0.0
647
Tumor
0.0
314
Normal
0.0
298
Normal
0.0
447
Tumor
0.0
473
Tumor
0.0
387
Tumor
0.0
435
Tumor
0.0
951
Tumor
0.0
1027
Tumor
0.0
413
Tumor
0.0
432
Normal
0.0
488
Normal
0.0
697
Tumor
0.0
364
Normal
0.0
742
Normal
0.0
952
Normal
0.0
1015
Tumor
0.0
1041
Tumor
0.0
1042
Normal
0.0
128
Normal
0.0
518
Normal
0.0
278
Normal
0.0
516
Normal
0.0
187
Tumor
0.0
918
Normal
0.0
954
Normal
0.0
428
Normal
0.0
232
Normal
0.0
191
Tumor
0.0
494
Normal
0.0
354
Normal
0.0
571
Tumor
0.0
195
Tumor
0.0
474
Normal
0.0
744
Normal
0.0
964
Normal
0.0
433
Tumor
0.0
342
Normal
-0.1
172
Normal
-0.1
416
Normal
-0.1
957
Tumor
-0.1
525
Tumor
-0.1
426
Normal
-0.1
471
Tumor
-0.1
881
Tumor
-0.1
874
Normal
-0.1
554
Normal
-0.1
332
Normal
-0.1
916
Normal
-0.1
618
Normal
-0.1
955
Tumor
-0.1
515
Tumor
-0.1
137
Tumor
-0.1
262
Normal
-0.1
445
Tumor
-0.1
222
Normal
-0.1
534
Normal
-0.1
924
Normal
-0.1
196
Normal
-0.1
472
Normal
-0.1
664
Normal
-0.1
956
Normal
-0.1
922
Normal
-0.1
574
Normal
-0.1
272
Normal
-0.1
362
Normal
-0.1
923
Tumor
-0.1
386
Normal
-0.1
868
Normal
-0.1
124
Normal
-0.1
258
Normal
-0.1
533
Tumor
-0.1
663
Tumor
-0.1
343
Tumor
-0.1
385
Tumor
-0.1
415
Tumor
-0.1
394
Normal
-0.1
461
Tumor
-0.1
344
Normal
-0.1
937
Tumor
-0.1
814
Normal
-0.1
162
Normal
-0.1
217
Tumor
-0.1
446
Normal
-0.1
958
Normal
-0.1
468
Normal
-0.1
665
Tumor
-0.1
917
Tumor
-0.1
498
Normal
-0.1
126
Normal
-0.1
218
Normal
-0.1
873
Tumor
-0.1
513
Tumor
-0.1
257
Tumor
-0.1
112
Tumor
-0.1
867
Tumor
-0.1
553
Tumor
-0.1
111
Normal
-0.1
114
Normal
-0.1
662
Normal
-0.1
221
Tumor
-0.1
484
Normal
-0.1
425
Tumor
-0.1
423
Tumor
-0.1
975
Tumor
-0.1
396
Normal
-0.1
186
Normal
-0.1
1045
Tumor
-0.1
921
Tumor
-0.1
376
Normal
-0.1
672
Normal
-0.1
147
Tumor
-0.1
487
Tumor
-0.1
132
Normal
-0.1
127
Tumor
-0.1
211
Tumor
-0.1
615
Tumor
-0.1
213
Tumor
-0.1
138
Normal
-0.2
813
Tumor
-0.2
283
Tumor
-0.2
148
Normal
-0.2
268
Normal
-0.2
125
Tumor
-0.2
915
Tumor
-0.2
666
Normal
-0.2
456
Normal
-0.2
427
Tumor
-0.2
388
Normal
-0.2
312
Normal
-0.2
538
Normal
-0.2
1031
Tumor
-0.2
863
Tumor
-0.2
943
Tumor
-0.2
188
Normal
-0.2
141
Tumor
-0.2
492
Normal
-0.2
261
Tumor
-0.2
146
Normal
-0.2
563
Tumor
-0.2
451
Tumor
-0.2
493
Tumor
-0.2
341
Tumor
-0.2
642
Normal
-0.2
741
Tumor
-0.2
391
Tumor
-0.2
482
Normal
-0.2
171
Tumor
-0.2
297
Tumor
-0.2
671
Tumor
-0.2
963
Tumor
-0.2
271
Tumor
-0.2
977
Tumor
-0.2
231
Tumor
-0.2
311
Tumor
-0.2
444
Normal
-0.2
491
Tumor
-0.2
361
Tumor
-0.3
123
Tumor
-0.3
465
Tumor
-0.3
365
Tumor
-0.3
483
Tumor
-0.3
366
Normal
-0.3
478
Normal
-0.3
192
Normal
-0.3
161
Tumor
-0.3
925
Tumor
-0.3
368
Normal
-0.3
185
Tumor
-0.3
277
Tumor
-0.3
477
Tumor
-0.3
641
Tumor
-0.3
635
Tumor
-0.3
627
Tumor
-0.3
375
Tumor
-0.4
384
Normal
-0.4
313
Tumor
-0.4
383
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.