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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.
RPSA is not prognostic in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
761.3
Number of samples
362
Samples
Sample
Description
TPM
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
3641.4
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
3508.2
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
3091.7
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
2873.2
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
2802.0
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
2499.0
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
2398.7
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
2309.1
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
2272.5
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
2270.7
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
2222.0
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
2206.9
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
2195.7
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
2135.0
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
2054.4
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
2045.8
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1970.2
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
1924.1
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
1836.5
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
1649.6
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
1597.0
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
1588.5
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
1510.4
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1507.3
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
1503.8
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
1496.7
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1475.0
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
1461.1
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
1459.7
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
1453.5
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
1419.7
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
1410.1
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
1406.4
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
1375.7
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
1353.9
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
1349.6
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
1339.3
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1333.7
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
1301.8
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1297.0
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
1264.1
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
1262.7
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1250.8
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1226.8
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
1218.1
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
1195.7
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
1194.1
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
1187.1
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
1179.6
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
1176.5
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
1174.0
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
1152.2
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1152.2
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
1115.4
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1114.1
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
1098.5
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1092.7
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
1088.4
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1079.7
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
1056.9
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1026.5
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
1021.5
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1013.0
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
1006.5
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
1005.1
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
998.0
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
997.0
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
994.3
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
994.2
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
987.9
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
985.7
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
980.7
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
974.3
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
973.3
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
970.8
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
960.2
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
955.7
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
951.1
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
949.3
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
947.2
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
941.5
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
940.9
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
939.4
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
932.7
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
931.7
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
931.1
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
926.6
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
905.5
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
903.2
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
891.6
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
886.5
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
882.9
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
880.9
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
870.5
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
864.4
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
863.3
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
861.4
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
846.9
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
842.6
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
841.3
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
839.8
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
836.3
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
830.1
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
827.2
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
826.5
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
823.2
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
822.1
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
817.8
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
817.7
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
815.5
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
812.8
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
811.1
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
809.6
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
804.6
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
802.9
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
800.4
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
799.3
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
798.9
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
798.4
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
797.1
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
791.2
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
790.7
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
789.0
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
788.5
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
786.8
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
786.6
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
786.5
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
780.1
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
779.7
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
778.5
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
777.3
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
775.8
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
775.0
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
773.0
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
771.1
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
770.5
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
766.8
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
761.7
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
760.4
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
759.4
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
759.2
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
739.9
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
739.5
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
739.1
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
731.3
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
722.9
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
722.2
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
719.8
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
717.7
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
712.0
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
707.9
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
704.4
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
696.1
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
693.3
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
692.0
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
689.8
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
686.3
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
685.0
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
684.3
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
683.1
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
680.6
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
673.5
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
673.1
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
671.2
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
667.5
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
667.2
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
666.3
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
665.2
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
661.0
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
661.0
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
660.0
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
657.8
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
656.7
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
655.6
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
653.3
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
647.9
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
644.8
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
643.2
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
642.3
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
637.8
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
634.5
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
632.4
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
629.9
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
625.4
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
625.3
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
623.7
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
622.6
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
622.0
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
619.1
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
618.0
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
614.2
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
600.0
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
594.2
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
589.5
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
587.7
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
579.7
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
577.2
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
577.2
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
572.0
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
566.0
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
565.9
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
564.2
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
562.9
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
560.8
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
558.9
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
558.9
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
557.4
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
556.0
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
555.7
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
550.3
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
549.6
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
549.0
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
546.4
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
545.1
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
543.5
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
542.2
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
540.9
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
539.4
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
536.7
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
534.5
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
533.8
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
533.8
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
533.0
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
527.4
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
526.5
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
523.8
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
523.2
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
518.3
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
516.8
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
516.4
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
516.0
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
515.8
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
514.3
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
510.3
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
509.0
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
508.8
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
505.4
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
500.9
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
500.7
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
497.0
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
496.8
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
495.7
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
489.9
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
488.3
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
488.2
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
487.0
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
479.5
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
479.3
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
477.6
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
475.5
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
474.8
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
474.0
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
472.7
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
467.0
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
465.2
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
458.3
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
457.8
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
457.0
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
455.8
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
455.4
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
455.0
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
452.9
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
452.5
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
450.3
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
443.0
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
442.7
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
441.3
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
439.5
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
432.6
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
430.0
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
429.6
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
429.4
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
423.5
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
420.9
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
419.8
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
419.7
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
419.0
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
417.5
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
417.0
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
416.5
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
414.7
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
409.3
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
407.5
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
407.3
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
405.3
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
404.1
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
400.5
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
398.9
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
398.5
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
398.5
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
395.6
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
395.4
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
394.2
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
394.1
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
393.3
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
392.3
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
391.7
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
391.0
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
386.1
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
383.9
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
382.9
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
382.7
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
381.8
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
381.6
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
381.5
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
380.5
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
379.7
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
379.1
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
376.6
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
371.5
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
368.6
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
368.2
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
365.8
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
365.4
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
364.4
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
356.3
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
352.7
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
350.5
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
349.9
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
348.2
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
346.6
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
344.0
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
340.5
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
340.0
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
338.1
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
336.4
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
335.8
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
334.4
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
329.8
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
321.5
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
320.8
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
316.6
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
315.0
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
314.1
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
313.5
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
303.5
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
303.4
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
302.2
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
300.0
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
296.3
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
296.0
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
289.3
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
276.8
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
276.0
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
274.1
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
273.4
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
267.8
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
265.0
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
264.5
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
263.4
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
260.8
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
257.7
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
248.9
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
246.1
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
244.5
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
240.0
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
237.3
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
226.2
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
218.2
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
214.2
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
214.1
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 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.
RPSA is potential prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
202.7
Number of samples
231
Samples
Sample
Description
TPM
DO45093
71 years, male, NA, stage:2, dead, 720 days
926.4
DO50785
37 years, male, NA, stage:4, dead, 90 days
877.9
DO45161
74 years, male, NA, stage:2, dead, 540 days
788.1
DO45217
69 years, female, NA, stage:3, dead, 270 days
740.0
DO45189
85 years, female, NA, stage:2, alive, 1200 days
611.1
DO45193
68 years, female, NA, stage:4, dead, 120 days
601.5
DO45211
76 years, male, NA, stage:3, alive, 240 days
600.7
DO50806
70 years, male, NA, stage:4, alive, 540 days
568.5
DO45239
42 years, male, NA, stage:2, alive, 870 days
548.6
DO45173
63 years, male, NA, stage:3, alive, 1170 days
533.4
DO48730
73 years, female, NA, stage:2, alive, 630 days
518.2
DO23511
83 years, female, NA, stage:3, dead, 180 days
477.7
DO45245
75 years, female, NA, stage:2, dead, 240 days
458.6
DO23516
69 years, male, NA, stage:3, dead, 20 days
446.1
DO23519
65 years, male, NA, stage:3, alive, 630 days
438.4
DO48715
58 years, female, NA, stage:2, dead, 690 days
435.9
DO23540
73 years, male, NA, stage:1, alive, 750 days
418.8
DO23508
79 years, female, NA, stage:2, alive, 390 days
408.7
DO45285
59 years, male, NA, stage:3, alive, 480 days
406.4
DO45307
54 years, female, NA, stage:4, dead, 240 days
403.5
DO23525
71 years, male, NA, stage:4, alive, 1050 days
396.7
DO50778
60 years, male, NA, stage:4, alive, 630 days
386.8
DO45209
70 years, male, NA, stage:4, alive, 1350 days
382.8
DO45219
78 years, male, NA, stage:2, alive, 1080 days
370.1
DO45259
65 years, male, NA, stage:3, alive, 330 days
360.9
DO48747
62 years, male, NA, stage:3, alive, 540 days
360.8
DO45269
59 years, male, NA, stage:3, alive, 750 days
360.2
DO23515
71 years, male, NA, stage:2, alive, 1230 days
357.0
DO48706
72 years, male, NA, stage:2, alive, 870 days
344.9
DO23537
79 years, male, NA, stage:2, dead, 900 days
322.6
DO23545
67 years, male, NA, stage:2, dead, 570 days
318.6
DO45265
73 years, male, NA, stage:3, alive, 1020 days
312.9
DO48757
68 years, female, NA, stage:3, alive, 480 days
310.8
DO23530
53 years, male, NA, stage:4, dead, 180 days
310.6
DO50809
56 years, male, NA, stage:3, dead, 720 days
309.1
DO45131
53 years, male, NA, stage:4, dead, 360 days
305.9
DO50815
62 years, male, NA, stage:3, alive, 150 days
303.5
DO45119
74 years, male, NA, stage:3, dead, 510 days
302.9
DO50855
47 years, male, NA, stage:2, alive, 570 days
301.6
DO45221
75 years, female, NA, stage:4, dead, 390 days
299.8
DO48682
72 years, female, NA, stage:3, dead, 120 days
291.9
DO50816
63 years, male, NA, stage:2, alive, 390 days
291.2
DO45191
61 years, female, NA, stage:2, alive, 1200 days
286.6
DO48697
64 years, female, NA, stage:2, dead, 810 days
280.9
DO45103
47 years, male, NA, stage:3, alive, 450 days
280.0
DO45097
69 years, male, NA, stage:3, alive, 1620 days
273.8
DO48720
62 years, female, NA, stage:2, alive, 570 days
273.0
DO45267
73 years, male, NA, stage:3, dead, 570 days
267.3
DO50799
66 years, female, NA, stage:2, alive, 540 days
266.8
DO45169
74 years, male, NA, stage:3, alive, 1350 days
263.7
DO48681
57 years, male, NA, stage:2, alive, 900 days
263.7
DO45301
56 years, male, NA, stage:2, dead, 1440 days
261.1
DO45179
78 years, female, NA, stage:2, alive, 600 days
256.0
DO45183
72 years, female, NA, stage:2, dead, 570 days
254.5
DO48736
76 years, female, NA, stage:1, alive, 600 days
249.4
DO45279
67 years, male, NA, stage:3, alive, 1290 days
248.2
DO50859
77 years, male, NA, stage:2, alive, 180 days
245.6
DO45231
84 years, male, NA, stage:2, alive, 930 days
245.3
DO45135
77 years, male, NA, stage:1, alive, 1410 days
245.1
DO45092
62 years, male, NA, stage:4, dead, 1200 days
243.2
DO45145
78 years, male, NA, stage:3, dead, 60 days
242.5
DO45127
73 years, male, NA, stage:3, dead, 420 days
240.4
DO45237
58 years, male, NA, stage:2, alive, 900 days
237.2
DO45305
66 years, male, NA, stage:4, alive, 300 days
234.0
DO45303
62 years, female, NA, stage:3, alive, 990 days
233.9
DO45251
57 years, female, NA, stage:2, alive, 900 days
232.6
DO45287
74 years, male, NA, stage:1, alive, 390 days
231.3
DO50829
78 years, male, NA, stage:3, alive, 570 days
222.2
DO45165
75 years, male, NA, stage:2, alive, 690 days
222.1
DO23528
45 years, female, NA, stage:2, alive, 1020 days
219.6
DO45199
86 years, female, NA, stage:2, alive, 1350 days
219.4
DO50791
79 years, female, NA, stage:1, dead, 480 days
217.8
DO45187
32 years, female, NA, stage:1, alive, 1260 days
216.5
DO45289
78 years, female, NA, stage:3, alive, 360 days
214.9
DO50820
77 years, female, NA, stage:3, alive, 510 days
214.8
DO45275
65 years, male, NA, stage:3, dead, 10 days
211.3
DO48717
54 years, male, NA, stage:4, dead, 180 days
207.7
DO45095
66 years, male, NA, stage:2, alive, 1620 days
207.6
DO45247
31 years, female, NA, stage:2, alive, 210 days
206.7
DO50805
72 years, male, NA, stage:2, alive, 690 days
201.6
DO45163
76 years, male, NA, stage:2, alive, 960 days
200.6
DO48751
68 years, male, NA, stage:2, dead, 480 days
200.4
DO48741
64 years, male, NA, stage:3, alive, 240 days
200.2
DO48723
73 years, male, NA, stage:1, alive, 600 days
198.0
DO50840
49 years, male, NA, stage:2, alive, 330 days
197.9
DO48672
81 years, male, NA, stage:2, alive, 450 days
195.9
DO45113
58 years, male, NA, stage:3, alive, 1560 days
195.8
DO23536
56 years, male, NA, stage:2, alive, 930 days
195.0
DO45283
60 years, male, NA, stage:3, alive, 510 days
193.3
DO48727
81 years, female, NA, stage:2, dead, 390 days
193.0
DO50802
49 years, male, NA, stage:2, alive, 930 days
192.9
DO45205
67 years, female, NA, stage:2, dead, 90 days
192.7
DO45201
49 years, male, NA, stage:1, alive, 900 days
192.7
DO48759
73 years, male, NA, stage:3, alive, 720 days
191.6
DO23526
66 years, male, NA, stage:3, alive, 1050 days
191.5
DO45139
63 years, male, NA, stage:3, alive, 1320 days
187.2
DO45273
62 years, male, NA, stage:2, alive, 480 days
186.1
DO45253
50 years, male, NA, stage:2, alive, 870 days
185.8
DO45225
69 years, male, NA, stage:1, alive, 1050 days
184.4
DO50814
83 years, male, NA, stage:3, alive, 420 days
183.6
DO45125
58 years, male, NA, stage:3, alive, 1680 days
183.1
DO45299
70 years, female, NA, stage:1, alive, 1440 days
182.6
DO45143
69 years, male, NA, stage:3, alive, 1290 days
182.4
DO45177
81 years, female, NA, stage:3, alive, 1260 days
181.5
DO45157
62 years, male, NA, stage:2, alive, 1980 days
181.1
DO48712
50 years, male, NA, stage:2, alive, 810 days
179.2
DO48737
52 years, male, NA, stage:1, alive, 720 days
177.3
DO45281
83 years, male, NA, stage:4, alive, 750 days
177.2
DO48700
78 years, female, NA, stage:2, alive, 810 days
174.7
DO45213
58 years, male, NA, stage:1, alive, 1200 days
173.8
DO50793
76 years, male, NA, stage:4, alive, 540 days
172.6
DO48725
66 years, male, NA, stage:1, alive, 780 days
172.3
DO48728
74 years, female, NA, stage:2, alive, 150 days
172.3
DO45249
57 years, male, NA, stage:1, alive, 630 days
171.4
DO45153
77 years, female, NA, stage:2, alive, 1380 days
168.5
DO45141
73 years, male, NA, stage:2, alive, 1320 days
165.6
DO23514
64 years, male, NA, stage:2, alive, 1290 days
165.1
DO23542
66 years, male, NA, stage:3, alive, 960 days
164.4
DO23510
80 years, female, NA, stage:2, alive, 870 days
164.4
DO50811
62 years, male, NA, stage:1, alive, 450 days
164.2
DO50783
62 years, male, NA, stage:3, alive, 480 days
160.2
DO45115
81 years, male, NA, stage:2, alive, 840 days
159.5
DO50819
72 years, female, NA, stage:2, alive, 510 days
158.6
DO48677
58 years, male, NA, stage:3, alive, 1140 days
157.9
DO23523
52 years, male, NA, stage:3, alive, 1080 days
157.1
DO45175
74 years, male, NA, stage:2, alive, 1140 days
155.9
DO48716
71 years, male, NA, stage:2, alive, 720 days
153.6
DO45297
61 years, female, NA, stage:4, dead, 1260 days
152.5
DO45261
74 years, male, NA, stage:3, alive, 990 days
151.4
DO48732
73 years, male, NA, stage:3, alive, 630 days
151.2
DO50813
56 years, male, NA, stage:2, alive, 420 days
149.0
DO45117
73 years, female, NA, stage:2, dead, 1110 days
146.9
DO45171
56 years, male, NA, stage:3, alive, 600 days
146.5
DO50789
73 years, female, NA, stage:2, alive, 570 days
146.4
DO50776
75 years, male, NA, stage:1, alive, 690 days
142.9
DO48733
72 years, male, NA, stage:2, alive, 600 days
141.2
DO45203
71 years, female, NA, stage:2, alive, 1170 days
139.8
DO45257
46 years, male, NA, stage:3, alive, 810 days
138.4
DO45155
69 years, male, NA, stage:2, alive, 2160 days
138.1
DO45277
64 years, male, NA, stage:3, alive, 600 days
136.8
DO23533
61 years, male, NA, stage:2, alive, 900 days
134.1
DO45241
49 years, male, NA, stage:1, alive, 1080 days
133.9
DO45223
67 years, male, NA, stage:4, alive, 1020 days
132.5
DO23524
71 years, female, NA, stage:2, alive, 1050 days
131.6
DO45185
89 years, male, NA, stage:2, alive, 600 days
130.1
DO45109
63 years, male, NA, stage:2, alive, 1590 days
130.0
DO45159
65 years, male, NA, stage:3, alive, 1470 days
129.4
DO45121
61 years, male, NA, stage:3, alive, 1530 days
128.5
DO50825
70 years, male, NA, stage:2, alive, 390 days
127.3
DO45233
83 years, male, NA, stage:3, alive, 900 days
127.2
DO50839
47 years, female, NA, stage:3, alive, 330 days
126.7
DO48743
69 years, female, NA, stage:2, alive, 570 days
126.5
DO48679
72 years, male, NA, stage:2, alive, 1200 days
126.4
DO48704
68 years, female, NA, stage:3, alive, 750 days
126.2
DO50850
74 years, male, NA, stage:3, alive, 720 days
124.8
DO45137
38 years, male, NA, stage:1, alive, 1320 days
124.8
DO23538
67 years, male, NA, stage:2, alive, 450 days
123.2
DO23535
67 years, male, NA, stage:1, alive, 960 days
122.9
DO23546
63 years, male, NA, stage:2, alive, 1050 days
122.3
DO50817
75 years, male, NA, stage:2, alive, 390 days
121.9
DO50822
66 years, male, NA, stage:2, alive, 510 days
121.2
DO50857
72 years, male, NA, stage:2, alive, 210 days
118.8
DO45229
74 years, male, NA, stage:1, alive, 990 days
118.2
DO50808
68 years, male, NA, stage:2, alive, 570 days
117.8
DO45227
57 years, female, NA, stage:2, alive, 1020 days
117.8
DO45243
74 years, female, NA, stage:3, alive, 930 days
117.6
DO50844
75 years, male, NA, stage:4, alive, 300 days
117.5
DO45207
68 years, male, NA, stage:1, alive, 1050 days
117.5
DO23529
72 years, male, NA, stage:4, alive, 930 days
117.3
DO23543
63 years, male, NA, stage:2, alive, 1020 days
117.3
DO23539
77 years, male, NA, stage:1, alive, 1110 days
116.6
DO23548
78 years, female, NA, stage:1, alive, 840 days
116.4
DO45149
70 years, female, NA, stage:2, alive, 1260 days
114.4
DO50804
81 years, male, NA, stage:2, alive, 720 days
112.3
DO23512
60 years, male, NA, stage:1, alive, 1260 days
111.9
DO48701
78 years, male, NA, stage:2, alive, 780 days
110.3
DO50800
74 years, male, NA, stage:2, alive, 510 days
108.3
DO45091
56 years, male, NA, stage:2, dead, 1320 days
108.3
DO23552
80 years, female, NA, stage:1, alive, 810 days
108.3
DO50798
77 years, male, NA, stage:3, dead, 30 days
107.5
DO23527
72 years, male, NA, stage:1, alive, 1050 days
107.2
DO45096
69 years, male, NA, stage:2, dead, 1290 days
106.4
DO23549
74 years, male, NA, stage:3, alive, 990 days
105.3
DO45235
68 years, female, NA, stage:1, alive, 900 days
104.4
DO23547
74 years, male, NA, stage:1, alive, 1020 days
104.0
DO23518
67 years, male, NA, stage:2, alive, 1320 days
101.8
DO45255
81 years, male, NA, stage:3, alive, 720 days
101.0
DO48693
71 years, male, NA, stage:2, alive, 900 days
100.8
DO23513
76 years, male, NA, stage:3, alive, 1200 days
99.1
DO48695
77 years, male, NA, stage:2, alive, 720 days
99.0
DO48719
80 years, male, NA, stage:2, alive, 690 days
97.7
DO227801
77 years, female, NA, stage:1, alive, 660 days
97.7
DO45123
78 years, female, NA, stage:2, dead, 570 days
97.0
DO50807
67 years, male, NA, stage:1, alive, 540 days
96.1
DO50787
63 years, male, NA, stage:3, alive, 480 days
95.3
DO23531
78 years, female, NA, stage:3, alive, 900 days
93.7
DO45181
84 years, female, NA, stage:2, alive, 1200 days
92.6
DO48721
58 years, female, NA, stage:1, alive, 900 days
92.4
DO23521
63 years, male, NA, stage:3, alive, 1110 days
90.9
DO50774
68 years, female, NA, stage:2, alive, 720 days
90.1
DO48761
55 years, male, NA, stage:2, alive, 870 days
88.0
DO48742
76 years, male, NA, stage:2, alive, 600 days
86.1
DO50803
62 years, female, NA, stage:1, alive, 540 days
85.8
DO48746
76 years, male, NA, stage:3, alive, 570 days
84.8
DO50818
65 years, male, NA, stage:2, alive, 510 days
82.1
DO23532
71 years, female, NA, stage:1, alive, 960 days
79.9
DO45094
76 years, male, NA, stage:3, alive, 1650 days
78.8
DO227643
79 years, male, NA, stage:2, alive, 1260 days
78.3
DO50832
73 years, male, NA, stage:3, alive, 90 days
78.3
DO23550
69 years, male, NA, stage:1, alive, 990 days
77.0
DO48674
80 years, male, NA, stage:2, alive, 1260 days
72.8
DO23509
60 years, male, NA, stage:3, dead, 780 days
70.3
DO45099
46 years, male, NA, stage:3, alive, 1590 days
70.0
DO45133
64 years, male, NA, stage:3, dead, 660 days
69.3
DO23541
65 years, male, NA, stage:2, alive, 930 days
68.3
DO45111
74 years, male, NA, stage:2, alive, 1590 days
67.6
DO50845
72 years, male, NA, stage:3, alive, 210 days
66.9
DO45215
65 years, male, NA, stage:2, alive, 1170 days
64.9
DO23534
60 years, male, NA, stage:2, alive, 840 days
62.8
DO48760
70 years, female, NA, stage:2, alive, 690 days
62.3
DO45167
67 years, male, NA, stage:2, dead, 1440 days
61.4
DO45197
51 years, male, NA, stage:2, alive, 1170 days
58.1
DO45101
63 years, male, NA, stage:2, alive, 1680 days
57.8
DO45195
62 years, male, NA, stage:1, alive, 390 days
55.6
DO23544
67 years, male, NA, stage:2, alive, 960 days
55.3
DO45263
67 years, male, NA, stage:3, dead, 270 days
54.8
DO23551
73 years, male, NA, stage:3, dead, 150 days
54.2
DO45129
61 years, male, NA, stage:3, alive, 1470 days
49.3
DO23517
62 years, male, NA, stage:2, alive, 1200 days
41.0
DO45105
61 years, male, NA, stage:1, alive, 1680 days
38.6
DO45107
63 years, female, NA, stage:2, alive, 1710 days
35.9
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LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
113
Tumor
0.4
332
Normal
0.4
331
Tumor
0.3
278
Normal
0.3
557
Tumor
0.3
314
Normal
0.3
636
Normal
0.3
367
Tumor
0.3
467
Tumor
0.3
567
Tumor
0.3
452
Normal
0.3
413
Tumor
0.3
358
Normal
0.3
195
Tumor
0.3
114
Normal
0.3
414
Normal
0.3
112
Tumor
0.2
222
Normal
0.2
426
Normal
0.2
464
Normal
0.2
267
Tumor
0.2
312
Normal
0.2
124
Normal
0.2
422
Normal
0.2
191
Tumor
0.2
232
Normal
0.2
342
Normal
0.2
468
Normal
0.2
466
Normal
0.2
128
Normal
0.2
456
Normal
0.2
223
Tumor
0.2
111
Normal
0.2
393
Tumor
0.2
446
Normal
0.2
343
Tumor
0.2
298
Normal
0.2
428
Normal
0.2
353
Tumor
0.2
648
Normal
0.2
666
Normal
0.2
126
Normal
0.2
186
Normal
0.2
394
Normal
0.2
815
Tumor
0.2
388
Normal
0.2
327
Tumor
0.2
231
Tumor
0.2
268
Normal
0.2
451
Tumor
0.2
258
Normal
0.2
344
Normal
0.2
443
Tumor
0.2
421
Tumor
0.2
262
Normal
0.2
214
Normal
0.2
132
Normal
0.2
392
Normal
0.2
172
Normal
0.2
351
Tumor
0.2
661
Tumor
0.2
642
Normal
0.2
136
Normal
0.2
217
Tumor
0.2
145
Tumor
0.1
424
Normal
0.1
463
Tumor
0.1
196
Normal
0.1
912
Normal
0.1
742
Normal
0.1
436
Normal
0.1
387
Tumor
0.1
564
Normal
0.1
162
Normal
0.1
285
Tumor
0.1
138
Normal
0.1
628
Normal
0.1
352
Normal
0.1
257
Tumor
0.1
427
Tumor
0.1
354
Normal
0.1
396
Normal
0.1
618
Normal
0.1
432
Normal
0.1
568
Normal
0.1
574
Normal
0.1
713
Tumor
0.1
218
Normal
0.1
272
Normal
0.1
286
Normal
0.1
125
Tumor
0.1
858
Normal
0.1
465
Tumor
0.1
1021
Tumor
0.1
664
Normal
0.1
395
Tumor
0.1
1016
Normal
0.1
368
Normal
0.1
423
Tumor
0.1
277
Tumor
0.1
386
Normal
0.1
851
Tumor
0.1
271
Tumor
0.1
481
Tumor
0.1
616
Normal
0.1
148
Normal
0.1
877
Tumor
0.1
376
Normal
0.1
187
Tumor
0.1
221
Tumor
0.1
671
Tumor
0.1
721
Tumor
0.1
722
Normal
0.1
171
Tumor
0.1
573
Tumor
0.1
662
Normal
0.1
445
Tumor
0.1
434
Normal
0.1
914
Normal
0.1
356
Normal
0.1
571
Tumor
0.1
366
Normal
0.1
425
Tumor
0.1
391
Tumor
0.1
537
Tumor
0.1
745
Tumor
0.1
738
Normal
0.1
786
Normal
0.1
213
Tumor
0.1
665
Tumor
0.1
1027
Tumor
0.1
147
Tumor
0.1
127
Tumor
0.1
444
Normal
0.1
672
Normal
0.0
884
Normal
0.0
558
Normal
0.0
824
Normal
0.0
727
Tumor
0.0
723
Tumor
0.0
228
Normal
0.0
313
Tumor
0.0
955
Tumor
0.0
385
Tumor
0.0
362
Normal
0.0
462
Normal
0.0
131
Tumor
0.0
517
Tumor
0.0
984
Normal
0.0
714
Normal
0.0
284
Normal
0.0
756
Normal
0.0
746
Normal
0.0
572
Normal
0.0
135
Tumor
0.0
983
Tumor
0.0
686
Normal
0.0
142
Normal
0.0
978
Normal
0.0
227
Tumor
0.0
161
Tumor
0.0
743
Tumor
0.0
137
Tumor
0.0
188
Normal
0.0
777
Tumor
0.0
192
Normal
0.0
882
Normal
0.0
455
Tumor
0.0
412
Normal
0.0
778
Normal
0.0
868
Normal
0.0
526
Normal
0.0
212
Normal
0.0
617
Tumor
0.0
384
Normal
0.0
724
Normal
0.0
433
Tumor
0.0
341
Tumor
0.0
357
Tumor
0.0
938
Normal
0.0
627
Tumor
0.0
1046
Normal
0.0
528
Normal
0.0
1044
Normal
0.0
482
Normal
0.0
814
Normal
0.0
716
Normal
0.0
615
Tumor
0.0
864
Normal
0.0
518
Normal
0.0
816
Normal
0.0
968
Normal
0.0
698
Normal
0.0
448
Normal
0.0
663
Tumor
0.0
514
Normal
0.0
685
Tumor
0.0
416
Normal
0.0
635
Tumor
0.0
185
Tumor
0.0
146
Normal
0.0
297
Tumor
0.0
224
Normal
0.0
862
Normal
0.0
728
Normal
0.0
696
Normal
0.0
447
Tumor
-0.1
523
Tumor
-0.1
365
Tumor
-0.1
647
Tumor
-0.1
431
Tumor
-0.1
361
Tumor
-0.1
497
Tumor
-0.1
488
Normal
-0.1
311
Tumor
-0.1
516
Normal
-0.1
474
Normal
-0.1
813
Tumor
-0.1
966
Normal
-0.1
976
Normal
-0.1
878
Normal
-0.1
982
Normal
-0.1
865
Tumor
-0.1
937
Tumor
-0.1
411
Tumor
-0.1
944
Normal
-0.1
852
Normal
-0.1
546
Normal
-0.1
785
Tumor
-0.1
926
Normal
-0.1
964
Normal
-0.1
435
Tumor
-0.1
1014
Normal
-0.1
524
Normal
-0.1
1042
Normal
-0.1
375
Tumor
-0.1
364
Normal
-0.1
967
Tumor
-0.1
484
Normal
-0.1
866
Normal
-0.1
1043
Tumor
-0.1
563
Tumor
-0.1
1026
Normal
-0.1
1025
Tumor
-0.1
536
Normal
-0.1
697
Tumor
-0.1
472
Normal
-0.1
755
Tumor
-0.1
918
Normal
-0.1
818
Normal
-0.1
913
Tumor
-0.1
494
Normal
-0.1
141
Tumor
-0.1
737
Tumor
-0.1
363
Tumor
-0.1
922
Normal
-0.1
534
Normal
-0.1
916
Normal
-0.1
715
Tumor
-0.1
923
Tumor
-0.1
1028
Normal
-0.1
261
Tumor
-0.1
958
Normal
-0.1
515
Tumor
-0.1
461
Tumor
-0.1
1032
Normal
-0.1
954
Normal
-0.1
956
Normal
-0.1
328
Normal
-0.1
1022
Normal
-0.1
527
Tumor
-0.1
744
Normal
-0.1
924
Normal
-0.1
1015
Tumor
-0.1
283
Tumor
-0.1
952
Normal
-0.1
874
Normal
-0.2
953
Tumor
-0.2
873
Tumor
-0.2
535
Tumor
-0.2
917
Tumor
-0.2
383
Tumor
-0.2
525
Tumor
-0.2
881
Tumor
-0.2
554
Normal
-0.2
867
Tumor
-0.2
965
Tumor
-0.2
477
Tumor
-0.2
123
Tumor
-0.2
975
Tumor
-0.2
641
Tumor
-0.2
492
Normal
-0.2
951
Tumor
-0.2
921
Tumor
-0.2
861
Tumor
-0.2
483
Tumor
-0.2
478
Normal
-0.2
513
Tumor
-0.2
493
Tumor
-0.2
817
Tumor
-0.2
487
Tumor
-0.2
981
Tumor
-0.2
823
Tumor
-0.2
1031
Tumor
-0.2
963
Tumor
-0.2
883
Tumor
-0.2
915
Tumor
-0.2
741
Tumor
-0.3
471
Tumor
-0.3
545
Tumor
-0.3
533
Tumor
-0.3
943
Tumor
-0.3
415
Tumor
-0.3
538
Normal
-0.3
977
Tumor
-0.3
491
Tumor
-0.3
498
Normal
-0.3
857
Tumor
-0.3
1041
Tumor
-0.3
695
Tumor
-0.3
957
Tumor
-0.3
863
Tumor
-0.3
925
Tumor
-0.3
355
Tumor
-0.3
211
Tumor
-0.3
553
Tumor
-0.3
911
Tumor
-0.4
1045
Tumor
-0.4
1013
Tumor
-0.4
473
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.