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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.
RPS13 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.
0.000026
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.
32%
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.
58%
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
814.2
Number of samples
362
Samples
Sample
Description
TPM
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
3906.6
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
2686.6
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
2229.9
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
2098.4
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
2049.7
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
2024.7
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
1876.7
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
1796.6
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
1659.1
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
1620.0
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
1616.9
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1591.7
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
1590.9
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1567.0
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
1565.0
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1546.3
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1539.0
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
1484.1
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
1447.4
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1419.8
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
1410.4
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
1409.3
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
1403.3
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1401.5
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1400.3
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
1394.9
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
1391.4
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
1387.9
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1387.9
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
1385.1
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
1382.7
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
1367.8
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
1346.7
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
1330.3
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1319.6
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
1295.3
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1290.2
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1286.5
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
1282.4
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1279.0
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
1257.1
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1252.9
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1235.1
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
1199.5
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1196.6
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
1192.6
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1190.5
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1165.6
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
1157.2
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
1156.2
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1151.3
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1139.3
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
1136.0
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
1132.0
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1127.1
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
1122.9
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
1117.9
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
1117.2
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
1112.5
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
1106.7
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
1101.0
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
1100.6
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
1099.3
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
1087.8
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1081.9
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
1062.6
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1062.4
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1062.4
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
1060.8
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1056.8
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
1046.8
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1041.3
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1037.4
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1028.0
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
1025.8
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1024.6
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
1022.0
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1021.2
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
1020.9
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1020.8
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
1015.7
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1011.7
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1011.3
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
998.0
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
993.0
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
991.2
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
990.1
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
987.5
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
982.0
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
981.5
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
978.2
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
967.5
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
954.5
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
950.9
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
943.3
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
937.8
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
930.4
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
930.0
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
927.9
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
925.3
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
924.6
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
919.8
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
910.3
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
908.7
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
906.3
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
903.3
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
900.8
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
900.7
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
899.3
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
897.2
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
891.8
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
890.3
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
889.1
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
888.6
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
887.6
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
886.9
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
886.8
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
883.2
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
880.2
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
873.3
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
869.2
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
869.0
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
867.7
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
865.5
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
851.7
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
850.9
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
836.4
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
835.6
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
827.2
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
821.3
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
820.9
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
813.5
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
811.2
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
811.2
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
804.6
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
803.7
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
801.5
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
801.0
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
800.6
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
798.5
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
798.0
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
793.2
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
792.2
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
790.5
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
790.5
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
789.4
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
786.3
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
786.3
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
782.7
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
774.5
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
772.6
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
770.6
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
770.5
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
768.6
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
768.2
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
761.3
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
761.1
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
758.6
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
755.8
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
751.2
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
750.0
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
747.1
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
746.6
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
743.3
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
742.7
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
740.0
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
735.2
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
735.1
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
734.8
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
734.2
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
732.8
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
732.6
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
730.5
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
730.2
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
729.6
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
729.3
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
728.7
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
725.3
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
724.0
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
718.5
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
714.9
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
714.0
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
713.8
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
712.9
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
711.0
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
707.3
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
707.0
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
703.8
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
702.8
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
700.0
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
699.4
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
698.4
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
695.7
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
695.2
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
692.0
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
691.7
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
689.9
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
688.9
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
688.1
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
687.0
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
686.8
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
684.8
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
684.5
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
683.5
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
679.0
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
677.8
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
677.4
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
677.0
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
676.3
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
673.8
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
671.3
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
671.1
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
669.8
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
668.8
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
663.4
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
662.8
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
660.8
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
659.0
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
658.9
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
657.2
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
656.4
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
656.4
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
656.0
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
656.0
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
653.6
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
653.6
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
652.2
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
649.6
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
648.8
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
647.5
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
646.2
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
646.1
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
641.9
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
640.3
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
637.4
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
635.3
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
631.5
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
629.9
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
628.0
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
624.1
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
624.0
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
623.4
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
623.1
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
622.2
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
622.0
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
620.0
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
618.0
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
617.6
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
617.5
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
616.6
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
614.8
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
614.0
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
603.6
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
601.2
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
600.1
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
594.7
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
594.6
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
592.5
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
592.4
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
591.4
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
591.0
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
589.1
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
587.6
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
585.8
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
582.7
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
579.9
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
576.0
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
573.8
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
572.0
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
571.8
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
571.8
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
571.5
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
569.8
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
569.5
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
568.2
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
567.9
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
567.9
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
564.3
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
562.4
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
559.3
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
557.2
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
554.2
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
549.3
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
547.1
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
546.8
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
541.5
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
537.0
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
533.0
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
530.5
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
529.5
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
527.6
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
527.2
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
520.0
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
518.5
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
518.5
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
518.4
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
516.9
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
514.0
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
513.2
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
512.8
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
512.3
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
509.2
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
504.0
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
500.3
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
497.3
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
496.9
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
494.5
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
491.8
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
490.4
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
489.4
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
488.6
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
488.0
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
487.5
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
485.2
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
480.0
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
479.7
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
477.3
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
474.7
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
474.4
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
472.8
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
470.5
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
469.8
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
466.5
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
465.9
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
463.7
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
461.1
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
460.5
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
459.2
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
452.9
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
449.5
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
449.5
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
446.9
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
446.8
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
442.8
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
438.0
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
435.7
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
435.4
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
434.4
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
425.5
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
424.2
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
423.9
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
422.4
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
421.9
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
420.9
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
417.9
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
415.9
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
414.8
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
413.5
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
398.2
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
387.8
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
386.4
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
383.7
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
382.1
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
373.4
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
366.6
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
361.3
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
361.0
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
357.4
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
352.6
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
334.6
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
315.2
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 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.
RPS13 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.
0.00046
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.
67%
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
648.8
Number of samples
231
Samples
Sample
Description
TPM
DO45285
59 years, male, NA, stage:3, alive, 480 days
3035.4
DO50814
83 years, male, NA, stage:3, alive, 420 days
1939.4
DO45289
78 years, female, NA, stage:3, alive, 360 days
1637.6
DO23519
65 years, male, NA, stage:3, alive, 630 days
1533.7
DO23508
79 years, female, NA, stage:2, alive, 390 days
1491.4
DO45307
54 years, female, NA, stage:4, dead, 240 days
1450.9
DO50839
47 years, female, NA, stage:3, alive, 330 days
1432.7
DO45303
62 years, female, NA, stage:3, alive, 990 days
1412.1
DO23515
71 years, male, NA, stage:2, alive, 1230 days
1386.3
DO45299
70 years, female, NA, stage:1, alive, 1440 days
1378.1
DO48737
52 years, male, NA, stage:1, alive, 720 days
1360.3
DO50785
37 years, male, NA, stage:4, dead, 90 days
1335.2
DO48747
62 years, male, NA, stage:3, alive, 540 days
1298.5
DO48682
72 years, female, NA, stage:3, dead, 120 days
1262.4
DO45305
66 years, male, NA, stage:4, alive, 300 days
1210.7
DO45211
76 years, male, NA, stage:3, alive, 240 days
1195.6
DO45189
85 years, female, NA, stage:2, alive, 1200 days
1176.8
DO45217
69 years, female, NA, stage:3, dead, 270 days
1169.2
DO45259
65 years, male, NA, stage:3, alive, 330 days
1149.1
DO45161
74 years, male, NA, stage:2, dead, 540 days
1128.9
DO23530
53 years, male, NA, stage:4, dead, 180 days
1120.4
DO48751
68 years, male, NA, stage:2, dead, 480 days
1104.1
DO23545
67 years, male, NA, stage:2, dead, 570 days
1103.4
DO50806
70 years, male, NA, stage:4, alive, 540 days
1077.6
DO45297
61 years, female, NA, stage:4, dead, 1260 days
1058.0
DO45283
60 years, male, NA, stage:3, alive, 510 days
1049.7
DO45097
69 years, male, NA, stage:3, alive, 1620 days
1017.4
DO45251
57 years, female, NA, stage:2, alive, 900 days
1002.6
DO48715
58 years, female, NA, stage:2, dead, 690 days
987.6
DO48697
64 years, female, NA, stage:2, dead, 810 days
971.9
DO45093
71 years, male, NA, stage:2, dead, 720 days
950.4
DO48741
64 years, male, NA, stage:3, alive, 240 days
949.1
DO50804
81 years, male, NA, stage:2, alive, 720 days
946.1
DO45287
74 years, male, NA, stage:1, alive, 390 days
937.8
DO45135
77 years, male, NA, stage:1, alive, 1410 days
918.5
DO45249
57 years, male, NA, stage:1, alive, 630 days
916.3
DO50855
47 years, male, NA, stage:2, alive, 570 days
909.2
DO45095
66 years, male, NA, stage:2, alive, 1620 days
906.3
DO45221
75 years, female, NA, stage:4, dead, 390 days
896.2
DO50799
66 years, female, NA, stage:2, alive, 540 days
892.8
DO45269
59 years, male, NA, stage:3, alive, 750 days
870.7
DO45219
78 years, male, NA, stage:2, alive, 1080 days
867.6
DO23516
69 years, male, NA, stage:3, dead, 20 days
864.4
DO45145
78 years, male, NA, stage:3, dead, 60 days
844.1
DO50825
70 years, male, NA, stage:2, alive, 390 days
841.2
DO23536
56 years, male, NA, stage:2, alive, 930 days
833.2
DO50793
76 years, male, NA, stage:4, alive, 540 days
833.1
DO45173
63 years, male, NA, stage:3, alive, 1170 days
831.7
DO23523
52 years, male, NA, stage:3, alive, 1080 days
811.0
DO48723
73 years, male, NA, stage:1, alive, 600 days
799.1
DO45239
42 years, male, NA, stage:2, alive, 870 days
799.1
DO45175
74 years, male, NA, stage:2, alive, 1140 days
795.2
DO45165
75 years, male, NA, stage:2, alive, 690 days
794.6
DO45183
72 years, female, NA, stage:2, dead, 570 days
788.2
DO50778
60 years, male, NA, stage:4, alive, 630 days
788.1
DO50802
49 years, male, NA, stage:2, alive, 930 days
779.2
DO48672
81 years, male, NA, stage:2, alive, 450 days
777.1
DO48706
72 years, male, NA, stage:2, alive, 870 days
772.3
DO48736
76 years, female, NA, stage:1, alive, 600 days
761.9
DO48730
73 years, female, NA, stage:2, alive, 630 days
760.3
DO48725
66 years, male, NA, stage:1, alive, 780 days
759.9
DO48757
68 years, female, NA, stage:3, alive, 480 days
752.9
DO45273
62 years, male, NA, stage:2, alive, 480 days
742.3
DO45103
47 years, male, NA, stage:3, alive, 450 days
741.9
DO50791
79 years, female, NA, stage:1, dead, 480 days
731.5
DO50820
77 years, female, NA, stage:3, alive, 510 days
727.3
DO45265
73 years, male, NA, stage:3, alive, 1020 days
727.1
DO23533
61 years, male, NA, stage:2, alive, 900 days
724.7
DO48727
81 years, female, NA, stage:2, dead, 390 days
724.4
DO50850
74 years, male, NA, stage:3, alive, 720 days
720.0
DO48759
73 years, male, NA, stage:3, alive, 720 days
712.2
DO45279
67 years, male, NA, stage:3, alive, 1290 days
709.6
DO45193
68 years, female, NA, stage:4, dead, 120 days
708.9
DO23525
71 years, male, NA, stage:4, alive, 1050 days
699.7
DO45179
78 years, female, NA, stage:2, alive, 600 days
690.3
DO50822
66 years, male, NA, stage:2, alive, 510 days
689.0
DO227643
79 years, male, NA, stage:2, alive, 1260 days
688.0
DO45163
76 years, male, NA, stage:2, alive, 960 days
683.9
DO45227
57 years, female, NA, stage:2, alive, 1020 days
681.4
DO45187
32 years, female, NA, stage:1, alive, 1260 days
677.9
DO23526
66 years, male, NA, stage:3, alive, 1050 days
676.7
DO45203
71 years, female, NA, stage:2, alive, 1170 days
670.8
DO50815
62 years, male, NA, stage:3, alive, 150 days
670.5
DO45119
74 years, male, NA, stage:3, dead, 510 days
664.7
DO45201
49 years, male, NA, stage:1, alive, 900 days
651.9
DO48720
62 years, female, NA, stage:2, alive, 570 days
650.2
DO23528
45 years, female, NA, stage:2, alive, 1020 days
649.8
DO45247
31 years, female, NA, stage:2, alive, 210 days
646.3
DO45261
74 years, male, NA, stage:3, alive, 990 days
642.6
DO45213
58 years, male, NA, stage:1, alive, 1200 days
636.2
DO45127
73 years, male, NA, stage:3, dead, 420 days
634.0
DO45109
63 years, male, NA, stage:2, alive, 1590 days
625.2
DO50783
62 years, male, NA, stage:3, alive, 480 days
624.8
DO50809
56 years, male, NA, stage:3, dead, 720 days
619.6
DO50805
72 years, male, NA, stage:2, alive, 690 days
619.5
DO50811
62 years, male, NA, stage:1, alive, 450 days
619.3
DO45281
83 years, male, NA, stage:4, alive, 750 days
617.5
DO48712
50 years, male, NA, stage:2, alive, 810 days
614.6
DO45255
81 years, male, NA, stage:3, alive, 720 days
613.5
DO45139
63 years, male, NA, stage:3, alive, 1320 days
613.2
DO50776
75 years, male, NA, stage:1, alive, 690 days
610.8
DO45277
64 years, male, NA, stage:3, alive, 600 days
610.5
DO45267
73 years, male, NA, stage:3, dead, 570 days
610.3
DO45229
74 years, male, NA, stage:1, alive, 990 days
607.5
DO48732
73 years, male, NA, stage:3, alive, 630 days
607.2
DO45141
73 years, male, NA, stage:2, alive, 1320 days
606.7
DO50800
74 years, male, NA, stage:2, alive, 510 days
603.0
DO45137
38 years, male, NA, stage:1, alive, 1320 days
592.9
DO50808
68 years, male, NA, stage:2, alive, 570 days
590.0
DO45231
84 years, male, NA, stage:2, alive, 930 days
588.5
DO48733
72 years, male, NA, stage:2, alive, 600 days
587.2
DO45092
62 years, male, NA, stage:4, dead, 1200 days
585.9
DO45143
69 years, male, NA, stage:3, alive, 1290 days
584.6
DO48746
76 years, male, NA, stage:3, alive, 570 days
576.7
DO48719
80 years, male, NA, stage:2, alive, 690 days
576.3
DO45199
86 years, female, NA, stage:2, alive, 1350 days
568.9
DO45253
50 years, male, NA, stage:2, alive, 870 days
564.4
DO48679
72 years, male, NA, stage:2, alive, 1200 days
563.4
DO50857
72 years, male, NA, stage:2, alive, 210 days
561.4
DO45241
49 years, male, NA, stage:1, alive, 1080 days
561.3
DO45185
89 years, male, NA, stage:2, alive, 600 days
560.1
DO45191
61 years, female, NA, stage:2, alive, 1200 days
559.4
DO48677
58 years, male, NA, stage:3, alive, 1140 days
556.4
DO23542
66 years, male, NA, stage:3, alive, 960 days
551.5
DO23543
63 years, male, NA, stage:2, alive, 1020 days
551.0
DO45157
62 years, male, NA, stage:2, alive, 1980 days
549.4
DO50829
78 years, male, NA, stage:3, alive, 570 days
549.0
DO50813
56 years, male, NA, stage:2, alive, 420 days
544.8
DO48728
74 years, female, NA, stage:2, alive, 150 days
542.8
DO45257
46 years, male, NA, stage:3, alive, 810 days
542.4
DO45245
75 years, female, NA, stage:2, dead, 240 days
541.4
DO23538
67 years, male, NA, stage:2, alive, 450 days
538.7
DO45205
67 years, female, NA, stage:2, dead, 90 days
534.8
DO45177
81 years, female, NA, stage:3, alive, 1260 days
534.0
DO45117
73 years, female, NA, stage:2, dead, 1110 days
533.9
DO23540
73 years, male, NA, stage:1, alive, 750 days
524.0
DO48700
78 years, female, NA, stage:2, alive, 810 days
521.4
DO23510
80 years, female, NA, stage:2, alive, 870 days
521.2
DO45243
74 years, female, NA, stage:3, alive, 930 days
512.8
DO48674
80 years, male, NA, stage:2, alive, 1260 days
512.0
DO50819
72 years, female, NA, stage:2, alive, 510 days
510.5
DO50789
73 years, female, NA, stage:2, alive, 570 days
504.4
DO50844
75 years, male, NA, stage:4, alive, 300 days
502.2
DO48717
54 years, male, NA, stage:4, dead, 180 days
499.7
DO50787
63 years, male, NA, stage:3, alive, 480 days
496.6
DO45181
84 years, female, NA, stage:2, alive, 1200 days
493.8
DO23529
72 years, male, NA, stage:4, alive, 930 days
488.0
DO45121
61 years, male, NA, stage:3, alive, 1530 days
485.8
DO23547
74 years, male, NA, stage:1, alive, 1020 days
483.0
DO45225
69 years, male, NA, stage:1, alive, 1050 days
481.9
DO45171
56 years, male, NA, stage:3, alive, 600 days
481.0
DO50774
68 years, female, NA, stage:2, alive, 720 days
478.8
DO45113
58 years, male, NA, stage:3, alive, 1560 days
476.8
DO50798
77 years, male, NA, stage:3, dead, 30 days
476.6
DO45153
77 years, female, NA, stage:2, alive, 1380 days
472.2
DO23514
64 years, male, NA, stage:2, alive, 1290 days
470.1
DO45223
67 years, male, NA, stage:4, alive, 1020 days
469.9
DO50807
67 years, male, NA, stage:1, alive, 540 days
467.4
DO45233
83 years, male, NA, stage:3, alive, 900 days
466.0
DO50859
77 years, male, NA, stage:2, alive, 180 days
465.1
DO50818
65 years, male, NA, stage:2, alive, 510 days
464.6
DO227801
77 years, female, NA, stage:1, alive, 660 days
464.5
DO50816
63 years, male, NA, stage:2, alive, 390 days
461.8
DO48693
71 years, male, NA, stage:2, alive, 900 days
461.0
DO23539
77 years, male, NA, stage:1, alive, 1110 days
459.3
DO45131
53 years, male, NA, stage:4, dead, 360 days
458.6
DO23521
63 years, male, NA, stage:3, alive, 1110 days
452.3
DO45207
68 years, male, NA, stage:1, alive, 1050 days
443.0
DO45275
65 years, male, NA, stage:3, dead, 10 days
439.7
DO45169
74 years, male, NA, stage:3, alive, 1350 days
438.1
DO45301
56 years, male, NA, stage:2, dead, 1440 days
435.2
DO45209
70 years, male, NA, stage:4, alive, 1350 days
429.6
DO23541
65 years, male, NA, stage:2, alive, 930 days
427.1
DO23537
79 years, male, NA, stage:2, dead, 900 days
427.0
DO23517
62 years, male, NA, stage:2, alive, 1200 days
421.0
DO48695
77 years, male, NA, stage:2, alive, 720 days
409.3
DO48743
69 years, female, NA, stage:2, alive, 570 days
404.5
DO23548
78 years, female, NA, stage:1, alive, 840 days
403.3
DO48704
68 years, female, NA, stage:3, alive, 750 days
400.7
DO50840
49 years, male, NA, stage:2, alive, 330 days
397.5
DO23549
74 years, male, NA, stage:3, alive, 990 days
396.5
DO50832
73 years, male, NA, stage:3, alive, 90 days
394.4
DO50817
75 years, male, NA, stage:2, alive, 390 days
394.4
DO23546
63 years, male, NA, stage:2, alive, 1050 days
394.2
DO23524
71 years, female, NA, stage:2, alive, 1050 days
393.5
DO45091
56 years, male, NA, stage:2, dead, 1320 days
393.4
DO45149
70 years, female, NA, stage:2, alive, 1260 days
393.1
DO45159
65 years, male, NA, stage:3, alive, 1470 days
391.7
DO45096
69 years, male, NA, stage:2, dead, 1290 days
390.1
DO50803
62 years, female, NA, stage:1, alive, 540 days
389.6
DO45197
51 years, male, NA, stage:2, alive, 1170 days
389.0
DO45099
46 years, male, NA, stage:3, alive, 1590 days
387.9
DO23544
67 years, male, NA, stage:2, alive, 960 days
387.5
DO23513
76 years, male, NA, stage:3, alive, 1200 days
386.3
DO45235
68 years, female, NA, stage:1, alive, 900 days
376.2
DO48761
55 years, male, NA, stage:2, alive, 870 days
376.0
DO23535
67 years, male, NA, stage:1, alive, 960 days
375.6
DO23531
78 years, female, NA, stage:3, alive, 900 days
375.4
DO23551
73 years, male, NA, stage:3, dead, 150 days
374.0
DO45155
69 years, male, NA, stage:2, alive, 2160 days
373.0
DO48716
71 years, male, NA, stage:2, alive, 720 days
372.6
DO45115
81 years, male, NA, stage:2, alive, 840 days
370.9
DO45123
78 years, female, NA, stage:2, dead, 570 days
370.2
DO23511
83 years, female, NA, stage:3, dead, 180 days
370.2
DO45125
58 years, male, NA, stage:3, alive, 1680 days
362.6
DO45133
64 years, male, NA, stage:3, dead, 660 days
360.3
DO23518
67 years, male, NA, stage:2, alive, 1320 days
356.6
DO23527
72 years, male, NA, stage:1, alive, 1050 days
350.5
DO48742
76 years, male, NA, stage:2, alive, 600 days
345.8
DO45195
62 years, male, NA, stage:1, alive, 390 days
344.4
DO23550
69 years, male, NA, stage:1, alive, 990 days
344.4
DO45129
61 years, male, NA, stage:3, alive, 1470 days
335.5
DO48760
70 years, female, NA, stage:2, alive, 690 days
333.6
DO48701
78 years, male, NA, stage:2, alive, 780 days
316.4
DO45094
76 years, male, NA, stage:3, alive, 1650 days
314.8
DO23512
60 years, male, NA, stage:1, alive, 1260 days
311.4
DO45215
65 years, male, NA, stage:2, alive, 1170 days
308.8
DO50845
72 years, male, NA, stage:3, alive, 210 days
306.1
DO48721
58 years, female, NA, stage:1, alive, 900 days
301.9
DO48681
57 years, male, NA, stage:2, alive, 900 days
289.9
DO23534
60 years, male, NA, stage:2, alive, 840 days
288.1
DO45237
58 years, male, NA, stage:2, alive, 900 days
284.8
DO23552
80 years, female, NA, stage:1, alive, 810 days
272.2
DO45101
63 years, male, NA, stage:2, alive, 1680 days
257.1
DO45111
74 years, male, NA, stage:2, alive, 1590 days
251.1
DO45263
67 years, male, NA, stage:3, dead, 270 days
231.0
DO45107
63 years, female, NA, stage:2, alive, 1710 days
229.1
DO45105
61 years, male, NA, stage:1, alive, 1680 days
212.9
DO23532
71 years, female, NA, stage:1, alive, 960 days
189.2
DO45167
67 years, male, NA, stage:2, dead, 1440 days
154.7
DO23509
60 years, male, NA, stage:3, dead, 780 days
147.0
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
1021
Tumor
0.6
285
Tumor
0.5
327
Tumor
0.5
743
Tumor
0.4
113
Tumor
0.4
1027
Tumor
0.4
557
Tumor
0.4
727
Tumor
0.4
537
Tumor
0.4
1032
Normal
0.4
367
Tumor
0.4
1022
Normal
0.3
965
Tumor
0.3
135
Tumor
0.3
636
Normal
0.3
353
Tumor
0.3
195
Tumor
0.3
724
Normal
0.3
172
Normal
0.3
685
Tumor
0.3
414
Normal
0.3
815
Tumor
0.3
186
Normal
0.3
721
Tumor
0.3
1031
Tumor
0.3
746
Normal
0.3
964
Normal
0.3
1026
Normal
0.3
558
Normal
0.3
1025
Tumor
0.3
223
Tumor
0.3
446
Normal
0.3
131
Tumor
0.3
723
Tumor
0.3
777
Tumor
0.3
851
Tumor
0.2
938
Normal
0.2
162
Normal
0.2
1041
Tumor
0.2
393
Tumor
0.2
368
Normal
0.2
756
Normal
0.2
983
Tumor
0.2
1028
Normal
0.2
955
Tumor
0.2
466
Normal
0.2
884
Normal
0.2
981
Tumor
0.2
737
Tumor
0.2
395
Tumor
0.2
1014
Normal
0.2
912
Normal
0.2
661
Tumor
0.2
451
Tumor
0.2
862
Normal
0.2
745
Tumor
0.2
432
Normal
0.2
462
Normal
0.2
514
Normal
0.2
567
Tumor
0.2
356
Normal
0.2
187
Tumor
0.2
331
Tumor
0.2
112
Tumor
0.2
926
Normal
0.2
376
Normal
0.2
648
Normal
0.2
145
Tumor
0.2
467
Tumor
0.2
778
Normal
0.2
864
Normal
0.2
523
Tumor
0.2
227
Tumor
0.2
413
Tumor
0.2
478
Normal
0.2
568
Normal
0.2
852
Normal
0.2
385
Tumor
0.2
742
Normal
0.2
481
Tumor
0.2
978
Normal
0.2
572
Normal
0.2
958
Normal
0.2
436
Normal
0.2
148
Normal
0.2
738
Normal
0.2
191
Tumor
0.2
517
Tumor
0.2
922
Normal
0.2
824
Normal
0.2
865
Tumor
0.2
426
Normal
0.2
314
Normal
0.2
443
Tumor
0.2
358
Normal
0.2
617
Tumor
0.2
387
Tumor
0.2
882
Normal
0.2
966
Normal
0.2
422
Normal
0.2
188
Normal
0.2
445
Tumor
0.2
366
Normal
0.2
937
Tumor
0.2
713
Tumor
0.2
728
Normal
0.2
472
Normal
0.2
284
Normal
0.2
431
Tumor
0.2
662
Normal
0.1
1042
Normal
0.1
967
Tumor
0.1
286
Normal
0.1
497
Tumor
0.1
785
Tumor
0.1
696
Normal
0.1
1016
Normal
0.1
571
Tumor
0.1
982
Normal
0.1
428
Normal
0.1
664
Normal
0.1
267
Tumor
0.1
361
Tumor
0.1
171
Tumor
0.1
786
Normal
0.1
342
Normal
0.1
666
Normal
0.1
228
Normal
0.1
434
Normal
0.1
866
Normal
0.1
212
Normal
0.1
384
Normal
0.1
984
Normal
0.1
545
Tumor
0.1
533
Tumor
0.1
573
Tumor
0.1
647
Tumor
0.1
128
Normal
0.1
214
Normal
0.1
564
Normal
0.1
878
Normal
0.1
618
Normal
0.1
124
Normal
0.1
818
Normal
0.1
362
Normal
0.1
918
Normal
0.1
111
Normal
0.1
412
Normal
0.1
394
Normal
0.1
1044
Normal
0.1
616
Normal
0.1
755
Tumor
0.1
528
Normal
0.1
421
Tumor
0.1
114
Normal
0.1
1015
Tumor
0.1
494
Normal
0.1
525
Tumor
0.1
392
Normal
0.1
628
Normal
0.1
132
Normal
0.1
615
Tumor
0.1
663
Tumor
0.1
527
Tumor
0.1
332
Normal
0.1
136
Normal
0.1
424
Normal
0.1
147
Tumor
0.1
665
Tumor
0.1
944
Normal
0.1
917
Tumor
0.1
328
Normal
0.1
671
Tumor
0.1
916
Normal
0.1
396
Normal
0.1
686
Normal
0.1
482
Normal
0.1
138
Normal
0.1
534
Normal
0.1
858
Normal
0.1
355
Tumor
0.1
231
Tumor
0.1
444
Normal
0.1
526
Normal
0.1
968
Normal
0.1
468
Normal
0.1
515
Tumor
0.1
976
Normal
0.1
452
Normal
0.1
365
Tumor
0.1
464
Normal
0.1
1046
Normal
0.1
127
Tumor
0.1
524
Normal
0.1
484
Normal
0.1
232
Normal
0.1
716
Normal
0.1
715
Tumor
0.1
513
Tumor
0.1
278
Normal
0.1
488
Normal
0.1
126
Normal
0.1
635
Tumor
0.1
435
Tumor
0.1
465
Tumor
0.1
672
Normal
0.1
817
Tumor
0.1
722
Normal
0.1
221
Tumor
0.1
137
Tumor
0.1
161
Tumor
0.1
352
Normal
0.0
386
Normal
0.0
448
Normal
0.0
957
Tumor
0.0
642
Normal
0.0
518
Normal
0.0
1043
Tumor
0.0
951
Tumor
0.0
364
Normal
0.0
493
Tumor
0.0
218
Normal
0.0
923
Tumor
0.0
952
Normal
0.0
224
Normal
0.0
433
Tumor
0.0
388
Normal
0.0
142
Normal
0.0
924
Normal
0.0
868
Normal
0.0
474
Normal
0.0
185
Tumor
0.0
351
Tumor
0.0
257
Tumor
0.0
473
Tumor
0.0
196
Normal
0.0
411
Tumor
0.0
427
Tumor
0.0
953
Tumor
0.0
262
Normal
0.0
217
Tumor
0.0
272
Normal
0.0
271
Tumor
0.0
714
Normal
0.0
391
Tumor
0.0
744
Normal
0.0
546
Normal
0.0
258
Normal
0.0
698
Normal
0.0
363
Tumor
N/A
535
Tumor
0.0
695
Tumor
0.0
146
Normal
0.0
554
Normal
0.0
125
Tumor
0.0
574
Normal
0.0
222
Normal
0.0
492
Normal
0.0
344
Normal
0.0
298
Normal
0.0
312
Normal
0.0
416
Normal
0.0
456
Normal
0.0
873
Tumor
0.0
516
Normal
0.0
423
Tumor
0.0
881
Tumor
0.0
867
Tumor
0.0
425
Tumor
0.0
861
Tumor
0.0
211
Tumor
0.0
816
Normal
0.0
697
Tumor
0.0
123
Tumor
0.0
357
Tumor
0.0
213
Tumor
0.0
487
Tumor
0.0
354
Normal
0.0
447
Tumor
0.0
874
Normal
0.0
954
Normal
0.0
536
Normal
0.0
268
Normal
0.0
963
Tumor
0.0
383
Tumor
0.0
857
Tumor
0.0
943
Tumor
0.0
814
Normal
0.0
913
Tumor
0.0
863
Tumor
0.0
627
Tumor
-0.1
471
Tumor
-0.1
277
Tumor
-0.1
283
Tumor
-0.1
915
Tumor
-0.1
375
Tumor
-0.1
141
Tumor
-0.1
483
Tumor
-0.1
261
Tumor
-0.1
914
Normal
-0.1
813
Tumor
-0.1
883
Tumor
-0.1
563
Tumor
-0.1
461
Tumor
-0.1
956
Normal
-0.1
311
Tumor
-0.1
455
Tumor
-0.1
553
Tumor
-0.1
921
Tumor
-0.1
975
Tumor
-0.1
415
Tumor
-0.1
1013
Tumor
-0.1
463
Tumor
-0.1
477
Tumor
-0.1
538
Normal
-0.1
977
Tumor
-0.1
641
Tumor
-0.1
343
Tumor
-0.1
313
Tumor
-0.1
297
Tumor
-0.1
341
Tumor
-0.1
741
Tumor
-0.1
877
Tumor
-0.2
911
Tumor
-0.2
823
Tumor
-0.2
192
Normal
-0.2
498
Normal
-0.2
925
Tumor
-0.2
1045
Tumor
-0.3
491
Tumor
-0.3
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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.