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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.
CD63 is potential prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
647.3
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
3964.6
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
2697.3
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
2286.5
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
2126.1
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
1982.6
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
1956.3
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
1935.3
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
1910.0
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1907.6
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1905.2
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
1768.5
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1686.8
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
1672.2
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
1659.8
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1628.5
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
1586.5
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
1552.0
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1523.5
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1520.7
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
1461.4
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
1414.3
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
1408.9
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
1366.8
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
1363.1
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
1344.4
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
1309.9
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
1297.5
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
1235.8
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1231.0
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1223.4
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1213.7
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
1213.3
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1195.5
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
1187.8
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
1185.0
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
1184.1
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
1169.1
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1151.1
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
1148.0
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1140.8
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1136.0
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
1102.6
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
1101.8
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
1088.8
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
1064.4
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
1051.5
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1031.5
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1025.9
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
1016.9
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
1006.6
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1001.2
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
995.1
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
953.5
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
942.7
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
940.4
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
926.4
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
903.7
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
903.2
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
900.5
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
899.1
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
898.5
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
889.9
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
887.7
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
878.3
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
875.7
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
872.5
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
853.2
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
849.3
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
840.5
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
838.9
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
837.4
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
836.9
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
834.3
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
833.6
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
832.4
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
828.0
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
822.2
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
792.7
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
790.8
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
790.5
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
789.6
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
789.4
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
788.6
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
785.6
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
783.2
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
780.4
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
769.5
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
767.9
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
765.2
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
764.9
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
762.8
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
751.1
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
750.1
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
747.2
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
744.4
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
741.7
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
741.4
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
737.0
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
721.1
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
716.2
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
713.1
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
709.9
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
709.2
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
708.7
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
698.1
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
697.7
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
695.2
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
695.1
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
694.6
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
692.6
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
692.5
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
689.1
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
688.5
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
684.5
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
683.5
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
683.5
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
679.0
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
675.9
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
672.9
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
672.5
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
658.4
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
653.9
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
652.8
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
652.8
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
650.3
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
648.1
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
647.6
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
646.7
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
639.8
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
639.5
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
630.6
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
625.5
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
625.0
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
624.1
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
623.6
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
614.8
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
614.7
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
614.6
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
612.6
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
611.9
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
605.3
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
604.0
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
600.8
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
596.5
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
593.3
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
593.2
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
589.0
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
582.2
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
582.1
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
579.5
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
574.1
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
572.8
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
571.7
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
570.6
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
565.5
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
564.8
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
563.4
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
563.3
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
561.0
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
561.0
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
556.3
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
555.0
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
554.2
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
548.5
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
547.4
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
546.8
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
545.8
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
544.2
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
541.8
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
538.8
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
536.3
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
534.5
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
533.4
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
533.1
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
531.4
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
530.9
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
529.9
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
529.8
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
529.5
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
529.3
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
528.5
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
526.8
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
526.6
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
525.9
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
525.7
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
517.5
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
516.6
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
515.5
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
512.9
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
512.8
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
512.0
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
510.2
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
509.8
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
504.8
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
504.7
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
503.9
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
503.4
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
503.1
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
499.7
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
499.5
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
496.4
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
495.8
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
494.9
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
493.8
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
493.6
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
493.6
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
488.0
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
485.5
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
485.0
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
484.4
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
475.1
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
474.8
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
474.1
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
473.5
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
473.3
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
473.2
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
466.3
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
464.8
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
462.4
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
462.0
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
461.8
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
461.6
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
461.2
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
460.3
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
460.2
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
455.9
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
454.1
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
453.2
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
453.1
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
450.5
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
446.8
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
446.7
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
445.1
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
444.9
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
444.8
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
444.4
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
442.7
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
441.1
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
440.0
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
437.3
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
436.6
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
435.5
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
435.4
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
434.5
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
434.3
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
433.1
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
432.9
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
431.5
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
427.3
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
426.3
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
424.3
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
424.1
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
423.9
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
423.2
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
422.3
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
422.1
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
418.3
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
411.1
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
409.8
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
406.0
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
405.1
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
404.4
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
404.0
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
401.6
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
401.3
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
400.6
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
399.7
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
399.0
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
398.1
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
397.9
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
395.2
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
393.6
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
392.7
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
392.7
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
388.6
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
384.9
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
384.8
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
383.9
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
382.3
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
381.8
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
381.6
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
381.4
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
380.3
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
377.6
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
376.6
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
375.7
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
372.4
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
365.8
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
364.3
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
363.1
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
360.9
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
360.3
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
359.7
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
356.4
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
354.9
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
353.3
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
350.2
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
347.6
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
345.1
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
345.1
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
344.9
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
341.1
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
339.7
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
337.5
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
336.7
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
336.7
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
330.9
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
324.5
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
322.6
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
321.1
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
320.3
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
316.6
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
315.9
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
314.6
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
314.1
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
314.0
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
311.5
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
307.4
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
305.5
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
302.2
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
299.7
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
299.2
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
298.3
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
297.7
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
294.8
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
293.4
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
291.7
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
290.0
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
289.4
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
288.6
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
288.4
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
288.4
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
288.3
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
286.0
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
285.5
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
284.0
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
282.4
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
276.3
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
265.7
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
264.8
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
261.3
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
260.2
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
260.2
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
259.0
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
256.4
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
248.4
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
239.7
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
237.9
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
237.0
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
231.2
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
230.0
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
229.0
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
228.3
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
227.8
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
220.8
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
209.0
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
202.9
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
190.7
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
180.9
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
168.8
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
159.1
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 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.
CD63 is not prognostic 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 pTPM
863.6
Number of samples
231
Samples
Sample
Description
pTPM
DO45275
65 years, male, NA, stage:3, dead, 10 days
3990.2
DO23523
52 years, male, NA, stage:3, alive, 1080 days
3262.4
DO45245
75 years, female, NA, stage:2, dead, 240 days
3200.2
DO50829
78 years, male, NA, stage:3, alive, 570 days
2862.4
DO45277
64 years, male, NA, stage:3, alive, 600 days
2358.2
DO45305
66 years, male, NA, stage:4, alive, 300 days
2312.1
DO23524
71 years, female, NA, stage:2, alive, 1050 days
2299.7
DO45289
78 years, female, NA, stage:3, alive, 360 days
2238.0
DO48747
62 years, male, NA, stage:3, alive, 540 days
2185.6
DO45307
54 years, female, NA, stage:4, dead, 240 days
2183.5
DO45303
62 years, female, NA, stage:3, alive, 990 days
2163.1
DO45263
67 years, male, NA, stage:3, dead, 270 days
2102.7
DO45185
89 years, male, NA, stage:2, alive, 600 days
2020.7
DO45283
60 years, male, NA, stage:3, alive, 510 days
1996.0
DO45127
73 years, male, NA, stage:3, dead, 420 days
1921.0
DO45205
67 years, female, NA, stage:2, dead, 90 days
1785.5
DO45285
59 years, male, NA, stage:3, alive, 480 days
1737.4
DO45279
67 years, male, NA, stage:3, alive, 1290 days
1710.4
DO23547
74 years, male, NA, stage:1, alive, 1020 days
1709.7
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1675.0
DO45297
61 years, female, NA, stage:4, dead, 1260 days
1673.0
DO45287
74 years, male, NA, stage:1, alive, 390 days
1660.9
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1620.3
DO45145
78 years, male, NA, stage:3, dead, 60 days
1608.0
DO23515
71 years, male, NA, stage:2, alive, 1230 days
1529.0
DO45119
74 years, male, NA, stage:3, dead, 510 days
1498.9
DO45259
65 years, male, NA, stage:3, alive, 330 days
1477.5
DO23519
65 years, male, NA, stage:3, alive, 630 days
1462.8
DO45249
57 years, male, NA, stage:1, alive, 630 days
1400.5
DO45251
57 years, female, NA, stage:2, alive, 900 days
1392.6
DO45301
56 years, male, NA, stage:2, dead, 1440 days
1378.6
DO23530
53 years, male, NA, stage:4, dead, 180 days
1344.2
DO45269
59 years, male, NA, stage:3, alive, 750 days
1320.3
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1270.1
DO45223
67 years, male, NA, stage:4, alive, 1020 days
1252.9
DO45135
77 years, male, NA, stage:1, alive, 1410 days
1247.1
DO23535
67 years, male, NA, stage:1, alive, 960 days
1189.4
DO50778
60 years, male, NA, stage:4, alive, 630 days
1188.6
DO48761
55 years, male, NA, stage:2, alive, 870 days
1184.8
DO45183
72 years, female, NA, stage:2, dead, 570 days
1170.5
DO45299
70 years, female, NA, stage:1, alive, 1440 days
1169.3
DO48723
73 years, male, NA, stage:1, alive, 600 days
1156.6
DO48697
64 years, female, NA, stage:2, dead, 810 days
1155.8
DO48741
64 years, male, NA, stage:3, alive, 240 days
1150.7
DO45189
85 years, female, NA, stage:2, alive, 1200 days
1148.8
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1138.8
DO45191
61 years, female, NA, stage:2, alive, 1200 days
1134.4
DO45267
73 years, male, NA, stage:3, dead, 570 days
1127.3
DO45155
69 years, male, NA, stage:2, alive, 2160 days
1124.0
DO48717
54 years, male, NA, stage:4, dead, 180 days
1122.5
DO48720
62 years, female, NA, stage:2, alive, 570 days
1119.9
DO45131
53 years, male, NA, stage:4, dead, 360 days
1104.2
DO48681
57 years, male, NA, stage:2, alive, 900 days
1102.4
DO45187
32 years, female, NA, stage:1, alive, 1260 days
1075.1
DO48728
74 years, female, NA, stage:2, alive, 150 days
1068.0
DO23526
66 years, male, NA, stage:3, alive, 1050 days
1058.5
DO48730
73 years, female, NA, stage:2, alive, 630 days
1035.4
DO50855
47 years, male, NA, stage:2, alive, 570 days
1035.1
DO45231
84 years, male, NA, stage:2, alive, 930 days
1022.9
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1016.3
DO45115
81 years, male, NA, stage:2, alive, 840 days
1014.2
DO45265
73 years, male, NA, stage:3, alive, 1020 days
1001.6
DO50785
37 years, male, NA, stage:4, dead, 90 days
996.6
DO48751
68 years, male, NA, stage:2, dead, 480 days
990.4
DO45241
49 years, male, NA, stage:1, alive, 1080 days
979.5
DO48732
73 years, male, NA, stage:3, alive, 630 days
971.4
DO50809
56 years, male, NA, stage:3, dead, 720 days
962.0
DO50800
74 years, male, NA, stage:2, alive, 510 days
961.6
DO23549
74 years, male, NA, stage:3, alive, 990 days
953.8
DO50813
56 years, male, NA, stage:2, alive, 420 days
939.3
DO45103
47 years, male, NA, stage:3, alive, 450 days
936.8
DO50819
72 years, female, NA, stage:2, alive, 510 days
933.4
DO50806
70 years, male, NA, stage:4, alive, 540 days
932.5
DO50789
73 years, female, NA, stage:2, alive, 570 days
919.6
DO45273
62 years, male, NA, stage:2, alive, 480 days
907.2
DO23508
79 years, female, NA, stage:2, alive, 390 days
906.8
DO45243
74 years, female, NA, stage:3, alive, 930 days
897.2
DO23513
76 years, male, NA, stage:3, alive, 1200 days
895.0
DO23542
66 years, male, NA, stage:3, alive, 960 days
892.7
DO50808
68 years, male, NA, stage:2, alive, 570 days
874.7
DO45149
70 years, female, NA, stage:2, alive, 1260 days
862.2
DO23529
72 years, male, NA, stage:4, alive, 930 days
860.3
DO45173
63 years, male, NA, stage:3, alive, 1170 days
854.3
DO50805
72 years, male, NA, stage:2, alive, 690 days
830.9
DO48682
72 years, female, NA, stage:3, dead, 120 days
819.3
DO48743
69 years, female, NA, stage:2, alive, 570 days
818.1
DO50787
63 years, male, NA, stage:3, alive, 480 days
810.6
DO48672
81 years, male, NA, stage:2, alive, 450 days
797.1
DO45239
42 years, male, NA, stage:2, alive, 870 days
795.8
DO45153
77 years, female, NA, stage:2, alive, 1380 days
793.4
DO48737
52 years, male, NA, stage:1, alive, 720 days
782.3
DO45121
61 years, male, NA, stage:3, alive, 1530 days
777.8
DO45213
58 years, male, NA, stage:1, alive, 1200 days
776.1
DO45221
75 years, female, NA, stage:4, dead, 390 days
766.8
DO23545
67 years, male, NA, stage:2, dead, 570 days
766.1
DO48715
58 years, female, NA, stage:2, dead, 690 days
763.9
DO50822
66 years, male, NA, stage:2, alive, 510 days
754.5
DO45105
61 years, male, NA, stage:1, alive, 1680 days
754.3
DO23512
60 years, male, NA, stage:1, alive, 1260 days
752.9
DO48712
50 years, male, NA, stage:2, alive, 810 days
751.8
DO45141
73 years, male, NA, stage:2, alive, 1320 days
747.2
DO48679
72 years, male, NA, stage:2, alive, 1200 days
745.2
DO45093
71 years, male, NA, stage:2, dead, 720 days
737.8
DO45165
75 years, male, NA, stage:2, alive, 690 days
735.3
DO23537
79 years, male, NA, stage:2, dead, 900 days
730.2
DO23543
63 years, male, NA, stage:2, alive, 1020 days
727.1
DO23510
80 years, female, NA, stage:2, alive, 870 days
724.6
DO50850
74 years, male, NA, stage:3, alive, 720 days
722.2
DO50783
62 years, male, NA, stage:3, alive, 480 days
714.8
DO45179
78 years, female, NA, stage:2, alive, 600 days
714.3
DO23548
78 years, female, NA, stage:1, alive, 840 days
708.0
DO48725
66 years, male, NA, stage:1, alive, 780 days
700.7
DO48700
78 years, female, NA, stage:2, alive, 810 days
697.9
DO50776
75 years, male, NA, stage:1, alive, 690 days
694.9
DO45281
83 years, male, NA, stage:4, alive, 750 days
692.6
DO23546
63 years, male, NA, stage:2, alive, 1050 days
690.4
DO45091
56 years, male, NA, stage:2, dead, 1320 days
683.5
DO45109
63 years, male, NA, stage:2, alive, 1590 days
680.3
DO23533
61 years, male, NA, stage:2, alive, 900 days
672.9
DO50839
47 years, female, NA, stage:3, alive, 330 days
672.9
DO48736
76 years, female, NA, stage:1, alive, 600 days
671.2
DO45161
74 years, male, NA, stage:2, dead, 540 days
668.9
DO45209
70 years, male, NA, stage:4, alive, 1350 days
667.3
DO45171
56 years, male, NA, stage:3, alive, 600 days
666.5
DO45201
49 years, male, NA, stage:1, alive, 900 days
665.8
DO45133
64 years, male, NA, stage:3, dead, 660 days
665.7
DO50774
68 years, female, NA, stage:2, alive, 720 days
662.0
DO45225
69 years, male, NA, stage:1, alive, 1050 days
648.9
DO50803
62 years, female, NA, stage:1, alive, 540 days
642.7
DO45197
51 years, male, NA, stage:2, alive, 1170 days
642.5
DO45095
66 years, male, NA, stage:2, alive, 1620 days
636.1
DO23550
69 years, male, NA, stage:1, alive, 990 days
632.6
DO50814
83 years, male, NA, stage:3, alive, 420 days
620.8
DO45177
81 years, female, NA, stage:3, alive, 1260 days
618.3
DO48701
78 years, male, NA, stage:2, alive, 780 days
618.1
DO23509
60 years, male, NA, stage:3, dead, 780 days
616.7
DO23541
65 years, male, NA, stage:2, alive, 930 days
613.4
DO45217
69 years, female, NA, stage:3, dead, 270 days
609.4
DO23514
64 years, male, NA, stage:2, alive, 1290 days
609.3
DO50859
77 years, male, NA, stage:2, alive, 180 days
608.7
DO45097
69 years, male, NA, stage:3, alive, 1620 days
607.6
DO48742
76 years, male, NA, stage:2, alive, 600 days
601.5
DO45233
83 years, male, NA, stage:3, alive, 900 days
595.4
DO45207
68 years, male, NA, stage:1, alive, 1050 days
593.6
DO48719
80 years, male, NA, stage:2, alive, 690 days
590.8
DO45219
78 years, male, NA, stage:2, alive, 1080 days
581.9
DO48759
73 years, male, NA, stage:3, alive, 720 days
581.2
DO50818
65 years, male, NA, stage:2, alive, 510 days
578.6
DO50825
70 years, male, NA, stage:2, alive, 390 days
577.5
DO50820
77 years, female, NA, stage:3, alive, 510 days
575.3
DO23536
56 years, male, NA, stage:2, alive, 930 days
572.6
DO45159
65 years, male, NA, stage:3, alive, 1470 days
569.2
DO45181
84 years, female, NA, stage:2, alive, 1200 days
565.2
DO45169
74 years, male, NA, stage:3, alive, 1350 days
563.5
DO23525
71 years, male, NA, stage:4, alive, 1050 days
561.8
DO45211
76 years, male, NA, stage:3, alive, 240 days
559.9
DO45137
38 years, male, NA, stage:1, alive, 1320 days
555.1
DO23534
60 years, male, NA, stage:2, alive, 840 days
554.4
DO48693
71 years, male, NA, stage:2, alive, 900 days
551.9
DO48733
72 years, male, NA, stage:2, alive, 600 days
551.1
DO50802
49 years, male, NA, stage:2, alive, 930 days
545.9
DO45203
71 years, female, NA, stage:2, alive, 1170 days
545.4
DO227801
77 years, female, NA, stage:1, alive, 660 days
540.3
DO23527
72 years, male, NA, stage:1, alive, 1050 days
540.0
DO50845
72 years, male, NA, stage:3, alive, 210 days
539.1
DO23511
83 years, female, NA, stage:3, dead, 180 days
536.5
DO48757
68 years, female, NA, stage:3, alive, 480 days
532.9
DO45227
57 years, female, NA, stage:2, alive, 1020 days
532.3
DO48695
77 years, male, NA, stage:2, alive, 720 days
531.0
DO50840
49 years, male, NA, stage:2, alive, 330 days
528.6
DO45255
81 years, male, NA, stage:3, alive, 720 days
525.3
DO45113
58 years, male, NA, stage:3, alive, 1560 days
521.2
DO23521
63 years, male, NA, stage:3, alive, 1110 days
520.5
DO45235
68 years, female, NA, stage:1, alive, 900 days
519.5
DO45129
61 years, male, NA, stage:3, alive, 1470 days
519.4
DO45247
31 years, female, NA, stage:2, alive, 210 days
514.1
DO45229
74 years, male, NA, stage:1, alive, 990 days
497.5
DO50811
62 years, male, NA, stage:1, alive, 450 days
494.0
DO23518
67 years, male, NA, stage:2, alive, 1320 days
492.6
DO45099
46 years, male, NA, stage:3, alive, 1590 days
489.2
DO45163
76 years, male, NA, stage:2, alive, 960 days
485.4
DO45215
65 years, male, NA, stage:2, alive, 1170 days
484.7
DO48704
68 years, female, NA, stage:3, alive, 750 days
481.1
DO45257
46 years, male, NA, stage:3, alive, 810 days
480.9
DO45261
74 years, male, NA, stage:3, alive, 990 days
480.5
DO45175
74 years, male, NA, stage:2, alive, 1140 days
477.4
DO45111
74 years, male, NA, stage:2, alive, 1590 days
475.7
DO48677
58 years, male, NA, stage:3, alive, 1140 days
472.6
DO50832
73 years, male, NA, stage:3, alive, 90 days
469.4
DO48746
76 years, male, NA, stage:3, alive, 570 days
463.4
DO48716
71 years, male, NA, stage:2, alive, 720 days
461.5
DO48760
70 years, female, NA, stage:2, alive, 690 days
460.9
DO23517
62 years, male, NA, stage:2, alive, 1200 days
455.7
DO50815
62 years, male, NA, stage:3, alive, 150 days
454.6
DO50798
77 years, male, NA, stage:3, dead, 30 days
453.3
DO50791
79 years, female, NA, stage:1, dead, 480 days
450.6
DO23551
73 years, male, NA, stage:3, dead, 150 days
448.1
DO50799
66 years, female, NA, stage:2, alive, 540 days
447.1
DO45096
69 years, male, NA, stage:2, dead, 1290 days
443.5
DO23516
69 years, male, NA, stage:3, dead, 20 days
433.4
DO50804
81 years, male, NA, stage:2, alive, 720 days
433.3
DO23544
67 years, male, NA, stage:2, alive, 960 days
432.1
DO23552
80 years, female, NA, stage:1, alive, 810 days
431.2
DO227643
79 years, male, NA, stage:2, alive, 1260 days
427.7
DO45117
73 years, female, NA, stage:2, dead, 1110 days
423.0
DO45094
76 years, male, NA, stage:3, alive, 1650 days
422.8
DO23531
78 years, female, NA, stage:3, alive, 900 days
422.2
DO45101
63 years, male, NA, stage:2, alive, 1680 days
420.9
DO45123
78 years, female, NA, stage:2, dead, 570 days
409.8
DO45193
68 years, female, NA, stage:4, dead, 120 days
398.2
DO50807
67 years, male, NA, stage:1, alive, 540 days
384.7
DO48674
80 years, male, NA, stage:2, alive, 1260 days
375.0
DO45237
58 years, male, NA, stage:2, alive, 900 days
368.4
DO23538
67 years, male, NA, stage:2, alive, 450 days
357.9
DO48727
81 years, female, NA, stage:2, dead, 390 days
348.3
DO50816
63 years, male, NA, stage:2, alive, 390 days
346.9
DO50817
75 years, male, NA, stage:2, alive, 390 days
340.2
DO45253
50 years, male, NA, stage:2, alive, 870 days
338.2
DO50844
75 years, male, NA, stage:4, alive, 300 days
336.9
DO50793
76 years, male, NA, stage:4, alive, 540 days
333.4
DO48706
72 years, male, NA, stage:2, alive, 870 days
322.5
DO50857
72 years, male, NA, stage:2, alive, 210 days
311.8
DO48721
58 years, female, NA, stage:1, alive, 900 days
311.6
DO23528
45 years, female, NA, stage:2, alive, 1020 days
311.4
DO45167
67 years, male, NA, stage:2, dead, 1440 days
310.1
DO45199
86 years, female, NA, stage:2, alive, 1350 days
308.9
DO23540
73 years, male, NA, stage:1, alive, 750 days
300.9
DO45195
62 years, male, NA, stage:1, alive, 390 days
284.0
DO45107
63 years, female, NA, stage:2, alive, 1710 days
262.8
DO23532
71 years, female, NA, stage:1, alive, 960 days
233.0
DO45125
58 years, male, NA, stage:3, alive, 1680 days
181.7
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
125
Tumor
1.8
983
Tumor
1.7
943
Tumor
1.5
917
Tumor
1.5
697
Tumor
1.4
617
Tumor
1.4
573
Tumor
1.4
147
Tumor
1.3
283
Tumor
1.3
363
Tumor
1.2
385
Tumor
1.2
545
Tumor
1.2
713
Tumor
1.1
527
Tumor
1.1
745
Tumor
1.1
343
Tumor
1.0
715
Tumor
1.0
737
Tumor
0.9
421
Tumor
0.9
851
Tumor
0.9
311
Tumor
0.8
211
Tumor
0.8
817
Tumor
0.8
478
Normal
0.7
492
Normal
0.7
671
Tumor
0.6
724
Normal
0.6
257
Tumor
0.6
536
Normal
0.6
517
Tumor
0.6
355
Tumor
0.6
135
Tumor
0.6
524
Normal
0.6
223
Tumor
0.6
661
Tumor
0.6
823
Tumor
0.5
498
Normal
0.5
857
Tumor
0.5
491
Tumor
0.5
877
Tumor
0.4
494
Normal
0.4
297
Tumor
0.4
444
Normal
0.4
384
Normal
0.4
425
Tumor
0.4
916
Normal
0.4
493
Tumor
0.4
471
Tumor
0.3
395
Tumor
0.3
124
Normal
0.3
516
Normal
0.3
923
Tumor
0.3
863
Tumor
0.3
535
Tumor
0.3
447
Tumor
0.3
538
Normal
0.3
224
Normal
0.3
284
Normal
0.3
672
Normal
0.3
852
Normal
0.3
467
Tumor
0.3
497
Tumor
0.3
192
Normal
0.2
455
Tumor
0.2
868
Normal
0.2
434
Normal
0.2
331
Tumor
0.2
393
Tumor
0.2
488
Normal
0.2
816
Normal
0.2
563
Tumor
0.2
554
Normal
0.2
1043
Tumor
0.2
744
Normal
0.2
958
Normal
0.2
221
Tumor
0.2
824
Normal
0.2
966
Normal
0.2
952
Normal
0.2
567
Tumor
0.2
728
Normal
0.2
976
Normal
0.2
878
Normal
0.2
195
Tumor
0.2
1041
Tumor
0.2
145
Tumor
0.1
716
Normal
0.1
778
Normal
0.1
815
Tumor
0.1
921
Tumor
0.1
268
Normal
0.1
354
Normal
0.1
957
Tumor
0.1
413
Tumor
0.1
146
Normal
0.1
1044
Normal
0.1
142
Normal
0.1
188
Normal
0.1
698
Normal
0.1
364
Normal
0.1
277
Tumor
0.1
864
Normal
0.1
571
Tumor
0.1
514
Normal
0.1
922
Normal
0.1
212
Normal
0.1
383
Tumor
0.1
483
Tumor
0.0
572
Normal
0.0
956
Normal
0.0
686
Normal
0.0
954
Normal
0.0
463
Tumor
0.0
727
Tumor
0.0
461
Tumor
0.0
228
Normal
0.0
813
Tumor
0.0
918
Normal
0.0
862
Normal
0.0
187
Tumor
0.0
443
Tumor
0.0
415
Tumor
0.0
448
Normal
0.0
874
Normal
0.0
312
Normal
0.0
984
Normal
0.0
474
Normal
0.0
484
Normal
0.0
953
Tumor
0.0
742
Normal
0.0
1045
Tumor
0.0
131
Tumor
0.0
738
Normal
0.0
553
Tumor
0.0
938
Normal
0.0
137
Tumor
0.0
1046
Normal
0.0
814
Normal
0.0
1028
Normal
-0.1
367
Tumor
-0.1
546
Normal
-0.1
185
Tumor
-0.1
746
Normal
-0.1
432
Normal
-0.1
1014
Normal
-0.1
351
Tumor
-0.1
365
Tumor
-0.1
262
Normal
-0.1
227
Tumor
-0.1
126
Normal
-0.1
1026
Normal
-0.1
1015
Tumor
-0.1
975
Tumor
-0.1
285
Tumor
-0.1
978
Normal
-0.1
272
Normal
-0.1
968
Normal
-0.1
558
Normal
-0.1
136
Normal
-0.1
663
Tumor
-0.1
525
Tumor
-0.1
696
Normal
-0.1
433
Tumor
-0.1
743
Tumor
-0.1
662
Normal
-0.1
1016
Normal
-0.1
515
Tumor
-0.1
352
Normal
-0.1
924
Normal
-0.1
642
Normal
-0.1
213
Tumor
-0.1
342
Normal
-0.1
162
Normal
-0.1
955
Tumor
-0.1
616
Normal
-0.1
881
Tumor
-0.1
564
Normal
-0.1
286
Normal
-0.1
362
Normal
-0.1
278
Normal
-0.2
574
Normal
-0.2
386
Normal
-0.2
883
Tumor
-0.2
313
Tumor
-0.2
911
Tumor
-0.2
1025
Tumor
-0.2
387
Tumor
-0.2
344
Normal
-0.2
786
Normal
-0.2
534
Normal
-0.2
464
Normal
-0.2
222
Normal
-0.2
723
Tumor
-0.2
138
Normal
-0.2
721
Tumor
-0.2
537
Tumor
-0.2
1042
Normal
-0.2
1022
Normal
-0.2
951
Tumor
-0.2
217
Tumor
-0.2
777
Tumor
-0.2
375
Tumor
-0.2
982
Normal
-0.2
452
Normal
-0.2
392
Normal
-0.2
388
Normal
-0.2
391
Tumor
-0.2
526
Normal
-0.2
858
Normal
-0.2
944
Normal
-0.2
926
Normal
-0.2
196
Normal
-0.2
394
Normal
-0.2
148
Normal
-0.2
913
Tumor
-0.3
636
Normal
-0.3
528
Normal
-0.3
866
Normal
-0.3
328
Normal
-0.3
818
Normal
-0.3
422
Normal
-0.3
628
Normal
-0.3
664
Normal
-0.3
513
Tumor
-0.3
964
Normal
-0.3
412
Normal
-0.3
214
Normal
-0.3
428
Normal
-0.3
618
Normal
-0.3
882
Normal
-0.3
111
Normal
-0.3
722
Normal
-0.3
861
Tumor
-0.3
191
Tumor
-0.3
366
Normal
-0.3
963
Tumor
-0.3
258
Normal
-0.3
396
Normal
-0.3
357
Tumor
-0.3
112
Tumor
-0.3
161
Tumor
-0.3
376
Normal
-0.3
925
Tumor
-0.3
132
Normal
-0.3
666
Normal
-0.3
1031
Tumor
-0.3
141
Tumor
-0.3
172
Normal
-0.3
568
Normal
-0.3
332
Normal
-0.4
462
Normal
-0.4
427
Tumor
-0.4
456
Normal
-0.4
361
Tumor
-0.4
912
Normal
-0.4
914
Normal
-0.4
468
Normal
-0.4
114
Normal
-0.4
218
Normal
-0.4
186
Normal
-0.4
967
Tumor
-0.4
873
Tumor
-0.4
665
Tumor
-0.4
685
Tumor
-0.4
298
Normal
-0.4
436
Normal
-0.4
232
Normal
-0.4
937
Tumor
-0.4
977
Tumor
-0.4
641
Tumor
-0.4
648
Normal
-0.4
477
Tumor
-0.4
647
Tumor
-0.4
368
Normal
-0.5
965
Tumor
-0.5
1032
Normal
-0.5
128
Normal
-0.5
695
Tumor
-0.5
356
Normal
-0.5
482
Normal
-0.5
416
Normal
-0.5
314
Normal
-0.5
446
Normal
-0.5
435
Tumor
-0.5
426
Normal
-0.5
424
Normal
-0.5
271
Tumor
-0.5
261
Tumor
-0.5
518
Normal
-0.5
915
Tumor
-0.5
451
Tumor
-0.5
785
Tumor
-0.5
414
Normal
-0.5
714
Normal
-0.5
466
Normal
-0.5
756
Normal
-0.5
358
Normal
-0.5
884
Normal
-0.6
1021
Tumor
-0.6
123
Tumor
-0.6
472
Normal
-0.6
1027
Tumor
-0.6
411
Tumor
-0.6
341
Tumor
-0.7
1013
Tumor
-0.7
557
Tumor
-0.7
127
Tumor
-0.7
353
Tumor
-0.7
523
Tumor
-0.7
867
Tumor
-0.8
171
Tumor
-0.8
615
Tumor
-0.8
741
Tumor
-0.8
231
Tumor
-0.8
445
Tumor
-0.8
865
Tumor
-0.9
423
Tumor
-0.9
627
Tumor
-0.9
481
Tumor
-0.9
533
Tumor
-1.0
465
Tumor
-1.0
755
Tumor
-1.0
473
Tumor
-1.1
431
Tumor
-1.1
267
Tumor
-1.1
327
Tumor
-1.1
487
Tumor
-1.1
113
Tumor
-1.3
981
Tumor
-1.4
635
Tumor
-1.4
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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.