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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.
ENO1 is validated prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
648.2
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
4030.2
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
3967.8
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
3216.9
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
2688.8
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
2563.2
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
2500.7
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
2383.8
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
2334.1
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
2329.1
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
2294.2
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
2284.5
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
2207.3
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
2136.6
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
2112.5
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
2065.6
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
1960.7
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
1933.5
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1869.4
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
1833.8
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1814.1
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
1725.5
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1687.3
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1677.7
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1666.0
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
1635.6
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1621.3
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
1535.6
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1521.5
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1465.6
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1428.9
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
1423.9
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1409.9
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
1409.1
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
1390.1
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
1384.2
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
1296.2
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1286.6
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
1283.5
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
1281.8
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1276.7
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1268.2
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1227.5
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
1220.8
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
1195.4
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
1194.2
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1191.9
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1175.4
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
1148.8
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
1143.4
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
1129.9
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
1119.6
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
1087.1
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1086.7
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
1067.8
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1056.4
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1048.2
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
1039.0
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
1027.7
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
1026.8
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1013.0
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
995.7
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
951.9
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
939.9
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
920.3
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
912.7
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
909.4
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
906.2
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
897.1
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
883.3
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
882.4
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
872.8
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
856.7
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
856.2
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
849.9
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
836.2
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
816.2
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
815.8
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
803.1
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
800.5
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
795.0
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
786.2
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
785.3
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
776.3
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
771.7
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
764.6
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
761.9
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
760.8
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
758.6
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
752.3
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
745.4
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
733.8
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
733.6
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
732.2
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
730.2
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
727.6
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
718.3
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
712.1
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
702.7
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
692.0
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
685.7
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
685.0
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
680.6
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
679.8
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
673.9
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
669.5
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
663.5
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
658.0
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
657.9
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
657.6
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
656.0
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
652.3
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
652.3
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
651.7
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
650.7
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
640.8
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
639.7
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
639.0
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
636.6
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
634.3
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
628.4
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
621.7
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
612.2
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
606.2
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
604.0
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
601.4
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
600.7
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
596.7
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
591.5
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
589.6
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
586.8
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
585.0
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
583.2
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
582.8
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
578.3
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
574.4
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
566.4
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
562.3
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
552.5
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
550.0
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
548.4
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
547.8
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
547.1
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
544.6
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
544.2
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
543.3
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
540.2
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
539.6
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
538.5
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
537.9
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
535.3
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
534.6
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
532.8
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
532.2
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
526.4
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
526.2
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
525.6
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
525.3
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
523.2
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
520.2
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
512.5
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
504.7
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
504.3
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
501.3
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
501.0
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
496.2
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
494.1
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
492.1
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
491.9
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
481.8
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
481.5
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
481.4
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
476.1
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
476.1
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
475.7
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
473.8
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
472.1
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
471.3
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
469.4
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
467.2
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
465.6
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
464.1
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
463.7
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
463.6
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
460.7
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
458.3
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
452.0
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
449.9
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
447.8
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
446.2
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
441.8
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
441.7
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
440.2
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
439.5
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
434.4
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
434.3
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
433.9
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
429.7
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
428.1
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
426.6
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
425.0
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
422.7
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
422.1
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
418.3
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
416.2
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
415.6
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
414.2
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
412.1
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
411.2
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
409.3
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
409.0
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
407.9
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
404.1
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
401.3
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
399.4
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
397.9
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
397.5
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
397.2
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
395.9
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
392.6
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
390.7
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
389.1
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
386.2
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
385.6
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
385.6
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
382.6
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
380.5
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
380.0
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
379.3
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
373.6
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
370.1
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
369.1
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
368.8
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
368.4
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
368.1
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
367.8
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
367.2
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
365.1
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
365.1
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
364.9
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
363.5
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
361.9
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
361.1
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
359.7
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
358.3
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
357.7
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
354.6
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
353.3
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
352.1
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
352.0
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
351.9
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
347.9
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
343.7
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
341.1
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
341.1
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
339.9
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
338.6
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
336.6
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
334.0
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
332.5
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
328.7
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
328.0
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
327.9
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
326.7
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
324.7
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
324.2
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
323.2
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
322.7
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
321.0
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
318.9
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
318.8
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
317.8
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
317.6
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
315.2
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
312.8
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
312.4
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
308.7
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
306.7
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
306.1
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
305.9
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
304.0
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
302.7
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
302.0
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
300.5
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
299.0
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
298.9
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
297.3
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
292.6
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
292.2
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
291.9
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
291.7
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
289.0
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
288.0
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
285.2
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
285.0
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
284.0
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
284.0
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
274.3
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
274.0
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
271.7
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
271.2
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
270.4
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
267.5
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
266.4
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
263.9
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
262.8
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
261.9
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
261.3
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
260.3
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
260.0
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
259.1
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
258.6
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
256.7
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
253.0
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
249.3
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
247.6
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
246.7
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
241.5
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
241.3
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
241.3
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
240.2
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
238.3
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
237.6
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
236.4
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
235.6
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
230.8
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
229.0
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
228.9
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
226.9
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
226.4
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
225.1
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
223.5
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
223.1
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
220.2
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
218.4
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
218.3
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
217.5
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
217.3
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
212.9
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
211.7
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
211.5
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
210.6
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
206.2
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
202.8
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
201.0
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
199.8
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
198.2
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
197.5
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
196.1
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
191.7
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
184.5
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
184.5
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
184.4
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
183.6
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
177.9
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
176.9
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
157.7
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
139.5
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
127.7
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
114.0
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
94.1
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
70.1
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 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.
ENO1 is validated prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
633.5
Number of samples
231
Samples
Sample
Description
pTPM
DO50829
78 years, male, NA, stage:3, alive, 570 days
4013.0
DO23519
65 years, male, NA, stage:3, alive, 630 days
3100.0
DO45119
74 years, male, NA, stage:3, dead, 510 days
3032.0
DO45211
76 years, male, NA, stage:3, alive, 240 days
2623.0
DO45275
65 years, male, NA, stage:3, dead, 10 days
2554.7
DO45092
62 years, male, NA, stage:4, dead, 1200 days
2338.3
DO48747
62 years, male, NA, stage:3, alive, 540 days
2334.0
DO48723
73 years, male, NA, stage:1, alive, 600 days
2077.7
DO45307
54 years, female, NA, stage:4, dead, 240 days
1903.4
DO45113
58 years, male, NA, stage:3, alive, 1560 days
1897.0
DO45145
78 years, male, NA, stage:3, dead, 60 days
1667.2
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1618.5
DO45277
64 years, male, NA, stage:3, alive, 600 days
1568.0
DO45267
73 years, male, NA, stage:3, dead, 570 days
1460.9
DO45269
59 years, male, NA, stage:3, alive, 750 days
1459.2
DO48741
64 years, male, NA, stage:3, alive, 240 days
1452.1
DO23508
79 years, female, NA, stage:2, alive, 390 days
1433.7
DO45221
75 years, female, NA, stage:4, dead, 390 days
1420.3
DO45155
69 years, male, NA, stage:2, alive, 2160 days
1411.4
DO50778
60 years, male, NA, stage:4, alive, 630 days
1381.2
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1378.5
DO48732
73 years, male, NA, stage:3, alive, 630 days
1364.2
DO45161
74 years, male, NA, stage:2, dead, 540 days
1328.0
DO45093
71 years, male, NA, stage:2, dead, 720 days
1313.4
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1192.4
DO45205
67 years, female, NA, stage:2, dead, 90 days
1180.0
DO45245
75 years, female, NA, stage:2, dead, 240 days
1169.6
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1154.8
DO23542
66 years, male, NA, stage:3, alive, 960 days
1144.9
DO50806
70 years, male, NA, stage:4, alive, 540 days
1131.5
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1110.0
DO45299
70 years, female, NA, stage:1, alive, 1440 days
1108.3
DO23509
60 years, male, NA, stage:3, dead, 780 days
1106.1
DO48682
72 years, female, NA, stage:3, dead, 120 days
1100.9
DO45283
60 years, male, NA, stage:3, alive, 510 days
1100.8
DO45263
67 years, male, NA, stage:3, dead, 270 days
1091.3
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1076.9
DO45231
84 years, male, NA, stage:2, alive, 930 days
1046.5
DO45235
68 years, female, NA, stage:1, alive, 900 days
1036.3
DO45217
69 years, female, NA, stage:3, dead, 270 days
1019.2
DO45303
62 years, female, NA, stage:3, alive, 990 days
1002.2
DO45305
66 years, male, NA, stage:4, alive, 300 days
986.7
DO48757
68 years, female, NA, stage:3, alive, 480 days
986.1
DO45301
56 years, male, NA, stage:2, dead, 1440 days
980.9
DO45285
59 years, male, NA, stage:3, alive, 480 days
979.2
DO50785
37 years, male, NA, stage:4, dead, 90 days
930.0
DO45287
74 years, male, NA, stage:1, alive, 390 days
925.0
DO23526
66 years, male, NA, stage:3, alive, 1050 days
919.8
DO45297
61 years, female, NA, stage:4, dead, 1260 days
915.7
DO50791
79 years, female, NA, stage:1, dead, 480 days
911.0
DO45253
50 years, male, NA, stage:2, alive, 870 days
891.9
DO48730
73 years, female, NA, stage:2, alive, 630 days
873.1
DO45281
83 years, male, NA, stage:4, alive, 750 days
847.1
DO50798
77 years, male, NA, stage:3, dead, 30 days
829.9
DO45289
78 years, female, NA, stage:3, alive, 360 days
829.6
DO45273
62 years, male, NA, stage:2, alive, 480 days
807.0
DO45127
73 years, male, NA, stage:3, dead, 420 days
800.0
DO45131
53 years, male, NA, stage:4, dead, 360 days
796.6
DO45209
70 years, male, NA, stage:4, alive, 1350 days
781.4
DO45163
76 years, male, NA, stage:2, alive, 960 days
779.7
DO50799
66 years, female, NA, stage:2, alive, 540 days
769.5
DO48695
77 years, male, NA, stage:2, alive, 720 days
759.2
DO45165
75 years, male, NA, stage:2, alive, 690 days
756.4
DO23513
76 years, male, NA, stage:3, alive, 1200 days
752.7
DO50802
49 years, male, NA, stage:2, alive, 930 days
752.3
DO45123
78 years, female, NA, stage:2, dead, 570 days
749.9
DO23523
52 years, male, NA, stage:3, alive, 1080 days
745.2
DO45185
89 years, male, NA, stage:2, alive, 600 days
740.2
DO50809
56 years, male, NA, stage:3, dead, 720 days
713.3
DO45237
58 years, male, NA, stage:2, alive, 900 days
706.2
DO45149
70 years, female, NA, stage:2, alive, 1260 days
686.3
DO23516
69 years, male, NA, stage:3, dead, 20 days
683.0
DO45193
68 years, female, NA, stage:4, dead, 120 days
682.3
DO23510
80 years, female, NA, stage:2, alive, 870 days
676.7
DO48672
81 years, male, NA, stage:2, alive, 450 days
662.3
DO50822
66 years, male, NA, stage:2, alive, 510 days
661.9
DO45169
74 years, male, NA, stage:3, alive, 1350 days
659.2
DO48704
68 years, female, NA, stage:3, alive, 750 days
652.7
DO50774
68 years, female, NA, stage:2, alive, 720 days
643.6
DO45207
68 years, male, NA, stage:1, alive, 1050 days
622.6
DO45197
51 years, male, NA, stage:2, alive, 1170 days
615.9
DO50805
72 years, male, NA, stage:2, alive, 690 days
615.2
DO23545
67 years, male, NA, stage:2, dead, 570 days
609.6
DO45143
69 years, male, NA, stage:3, alive, 1290 days
606.3
DO48717
54 years, male, NA, stage:4, dead, 180 days
591.6
DO23530
53 years, male, NA, stage:4, dead, 180 days
581.9
DO45249
57 years, male, NA, stage:1, alive, 630 days
574.4
DO45227
57 years, female, NA, stage:2, alive, 1020 days
565.2
DO45171
56 years, male, NA, stage:3, alive, 600 days
555.0
DO48720
62 years, female, NA, stage:2, alive, 570 days
549.0
DO45173
63 years, male, NA, stage:3, alive, 1170 days
548.9
DO45091
56 years, male, NA, stage:2, dead, 1320 days
548.2
DO23549
74 years, male, NA, stage:3, alive, 990 days
531.6
DO48697
64 years, female, NA, stage:2, dead, 810 days
531.5
DO45117
73 years, female, NA, stage:2, dead, 1110 days
524.9
DO48751
68 years, male, NA, stage:2, dead, 480 days
518.4
DO23514
64 years, male, NA, stage:2, alive, 1290 days
517.4
DO23533
61 years, male, NA, stage:2, alive, 900 days
515.0
DO45135
77 years, male, NA, stage:1, alive, 1410 days
501.9
DO23537
79 years, male, NA, stage:2, dead, 900 days
499.1
DO50850
74 years, male, NA, stage:3, alive, 720 days
498.0
DO45279
67 years, male, NA, stage:3, alive, 1290 days
494.6
DO45251
57 years, female, NA, stage:2, alive, 900 days
488.2
DO23524
71 years, female, NA, stage:2, alive, 1050 days
487.4
DO50819
72 years, female, NA, stage:2, alive, 510 days
482.2
DO45261
74 years, male, NA, stage:3, alive, 990 days
480.8
DO23529
72 years, male, NA, stage:4, alive, 930 days
478.2
DO50840
49 years, male, NA, stage:2, alive, 330 days
472.1
DO23515
71 years, male, NA, stage:2, alive, 1230 days
463.5
DO45257
46 years, male, NA, stage:3, alive, 810 days
456.4
DO48712
50 years, male, NA, stage:2, alive, 810 days
454.3
DO50839
47 years, female, NA, stage:3, alive, 330 days
452.5
DO23547
74 years, male, NA, stage:1, alive, 1020 days
448.8
DO48716
71 years, male, NA, stage:2, alive, 720 days
447.7
DO45095
66 years, male, NA, stage:2, alive, 1620 days
442.9
DO23518
67 years, male, NA, stage:2, alive, 1320 days
441.0
DO48719
80 years, male, NA, stage:2, alive, 690 days
434.2
DO45259
65 years, male, NA, stage:3, alive, 330 days
426.4
DO23539
77 years, male, NA, stage:1, alive, 1110 days
425.5
DO50813
56 years, male, NA, stage:2, alive, 420 days
425.3
DO45097
69 years, male, NA, stage:3, alive, 1620 days
423.9
DO48742
76 years, male, NA, stage:2, alive, 600 days
423.6
DO23541
65 years, male, NA, stage:2, alive, 930 days
423.5
DO50832
73 years, male, NA, stage:3, alive, 90 days
416.6
DO48728
74 years, female, NA, stage:2, alive, 150 days
413.7
DO45195
62 years, male, NA, stage:1, alive, 390 days
412.7
DO50808
68 years, male, NA, stage:2, alive, 570 days
411.4
DO50844
75 years, male, NA, stage:4, alive, 300 days
407.6
DO50776
75 years, male, NA, stage:1, alive, 690 days
400.3
DO50800
74 years, male, NA, stage:2, alive, 510 days
395.8
DO45159
65 years, male, NA, stage:3, alive, 1470 days
392.6
DO45111
74 years, male, NA, stage:2, alive, 1590 days
387.1
DO50815
62 years, male, NA, stage:3, alive, 150 days
385.2
DO45229
74 years, male, NA, stage:1, alive, 990 days
384.3
DO23550
69 years, male, NA, stage:1, alive, 990 days
382.6
DO48759
73 years, male, NA, stage:3, alive, 720 days
376.7
DO50787
63 years, male, NA, stage:3, alive, 480 days
374.0
DO48706
72 years, male, NA, stage:2, alive, 870 days
373.8
DO45096
69 years, male, NA, stage:2, dead, 1290 days
371.2
DO48701
78 years, male, NA, stage:2, alive, 780 days
370.6
DO227801
77 years, female, NA, stage:1, alive, 660 days
366.1
DO48700
78 years, female, NA, stage:2, alive, 810 days
360.0
DO45239
42 years, male, NA, stage:2, alive, 870 days
358.0
DO23527
72 years, male, NA, stage:1, alive, 1050 days
355.3
DO48743
69 years, female, NA, stage:2, alive, 570 days
355.2
DO45133
64 years, male, NA, stage:3, dead, 660 days
351.3
DO48725
66 years, male, NA, stage:1, alive, 780 days
350.7
DO45265
73 years, male, NA, stage:3, alive, 1020 days
346.1
DO50803
62 years, female, NA, stage:1, alive, 540 days
345.3
DO48679
72 years, male, NA, stage:2, alive, 1200 days
340.8
DO23511
83 years, female, NA, stage:3, dead, 180 days
339.6
DO45255
81 years, male, NA, stage:3, alive, 720 days
332.4
DO23540
73 years, male, NA, stage:1, alive, 750 days
332.0
DO45153
77 years, female, NA, stage:2, alive, 1380 days
323.7
DO23546
63 years, male, NA, stage:2, alive, 1050 days
323.6
DO45183
72 years, female, NA, stage:2, dead, 570 days
322.5
DO45115
81 years, male, NA, stage:2, alive, 840 days
321.3
DO50783
62 years, male, NA, stage:3, alive, 480 days
319.6
DO48677
58 years, male, NA, stage:3, alive, 1140 days
318.6
DO45103
47 years, male, NA, stage:3, alive, 450 days
317.5
DO50859
77 years, male, NA, stage:2, alive, 180 days
315.4
DO48733
72 years, male, NA, stage:2, alive, 600 days
311.9
DO45137
38 years, male, NA, stage:1, alive, 1320 days
310.9
DO45177
81 years, female, NA, stage:3, alive, 1260 days
309.2
DO50818
65 years, male, NA, stage:2, alive, 510 days
306.9
DO50804
81 years, male, NA, stage:2, alive, 720 days
302.4
DO45189
85 years, female, NA, stage:2, alive, 1200 days
299.9
DO45233
83 years, male, NA, stage:3, alive, 900 days
295.1
DO45213
58 years, male, NA, stage:1, alive, 1200 days
293.7
DO23535
67 years, male, NA, stage:1, alive, 960 days
293.6
DO45141
73 years, male, NA, stage:2, alive, 1320 days
289.9
DO45203
71 years, female, NA, stage:2, alive, 1170 days
289.0
DO45181
84 years, female, NA, stage:2, alive, 1200 days
279.3
DO23548
78 years, female, NA, stage:1, alive, 840 days
277.7
DO50789
73 years, female, NA, stage:2, alive, 570 days
270.3
DO50820
77 years, female, NA, stage:3, alive, 510 days
269.3
DO45129
61 years, male, NA, stage:3, alive, 1470 days
267.7
DO23544
67 years, male, NA, stage:2, alive, 960 days
265.1
DO45099
46 years, male, NA, stage:3, alive, 1590 days
263.9
DO48681
57 years, male, NA, stage:2, alive, 900 days
263.5
DO45199
86 years, female, NA, stage:2, alive, 1350 days
261.7
DO45191
61 years, female, NA, stage:2, alive, 1200 days
257.6
DO48737
52 years, male, NA, stage:1, alive, 720 days
254.2
DO23531
78 years, female, NA, stage:3, alive, 900 days
252.2
DO45187
32 years, female, NA, stage:1, alive, 1260 days
251.2
DO45243
74 years, female, NA, stage:3, alive, 930 days
250.0
DO23538
67 years, male, NA, stage:2, alive, 450 days
249.9
DO48693
71 years, male, NA, stage:2, alive, 900 days
248.5
DO50811
62 years, male, NA, stage:1, alive, 450 days
247.4
DO23543
63 years, male, NA, stage:2, alive, 1020 days
246.7
DO45223
67 years, male, NA, stage:4, alive, 1020 days
244.9
DO227643
79 years, male, NA, stage:2, alive, 1260 days
241.0
DO45241
49 years, male, NA, stage:1, alive, 1080 days
237.3
DO50793
76 years, male, NA, stage:4, alive, 540 days
235.5
DO48727
81 years, female, NA, stage:2, dead, 390 days
233.6
DO45101
63 years, male, NA, stage:2, alive, 1680 days
233.1
DO48746
76 years, male, NA, stage:3, alive, 570 days
230.0
DO48761
55 years, male, NA, stage:2, alive, 870 days
226.0
DO45125
58 years, male, NA, stage:3, alive, 1680 days
224.5
DO23536
56 years, male, NA, stage:2, alive, 930 days
223.4
DO48715
58 years, female, NA, stage:2, dead, 690 days
211.9
DO50855
47 years, male, NA, stage:2, alive, 570 days
202.9
DO23528
45 years, female, NA, stage:2, alive, 1020 days
202.8
DO45094
76 years, male, NA, stage:3, alive, 1650 days
199.9
DO48674
80 years, male, NA, stage:2, alive, 1260 days
196.3
DO23534
60 years, male, NA, stage:2, alive, 840 days
195.5
DO23517
62 years, male, NA, stage:2, alive, 1200 days
188.5
DO50857
72 years, male, NA, stage:2, alive, 210 days
178.4
DO23551
73 years, male, NA, stage:3, dead, 150 days
177.8
DO48736
76 years, female, NA, stage:1, alive, 600 days
175.8
DO45175
74 years, male, NA, stage:2, alive, 1140 days
169.6
DO23552
80 years, female, NA, stage:1, alive, 810 days
169.3
DO50845
72 years, male, NA, stage:3, alive, 210 days
166.8
DO45215
65 years, male, NA, stage:2, alive, 1170 days
164.9
DO45121
61 years, male, NA, stage:3, alive, 1530 days
164.2
DO50817
75 years, male, NA, stage:2, alive, 390 days
160.7
DO48721
58 years, female, NA, stage:1, alive, 900 days
156.7
DO45107
63 years, female, NA, stage:2, alive, 1710 days
154.4
DO45247
31 years, female, NA, stage:2, alive, 210 days
152.9
DO23512
60 years, male, NA, stage:1, alive, 1260 days
150.0
DO50816
63 years, male, NA, stage:2, alive, 390 days
149.8
DO48760
70 years, female, NA, stage:2, alive, 690 days
146.2
DO23532
71 years, female, NA, stage:1, alive, 960 days
144.4
DO45179
78 years, female, NA, stage:2, alive, 600 days
141.6
DO50807
67 years, male, NA, stage:1, alive, 540 days
140.9
DO50825
70 years, male, NA, stage:2, alive, 390 days
137.7
DO45201
49 years, male, NA, stage:1, alive, 900 days
131.2
DO50814
83 years, male, NA, stage:3, alive, 420 days
123.6
DO45109
63 years, male, NA, stage:2, alive, 1590 days
116.6
DO45167
67 years, male, NA, stage:2, dead, 1440 days
108.4
DO45105
61 years, male, NA, stage:1, alive, 1680 days
97.8
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LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
257
Tumor
1.1
685
Tumor
1.0
125
Tumor
0.9
1027
Tumor
0.9
573
Tumor
0.8
663
Tumor
0.8
375
Tumor
0.7
571
Tumor
0.6
953
Tumor
0.5
527
Tumor
0.5
283
Tumor
0.4
813
Tumor
0.4
313
Tumor
0.4
741
Tumor
0.4
567
Tumor
0.4
387
Tumor
0.4
395
Tumor
0.3
423
Tumor
0.3
383
Tumor
0.3
1013
Tumor
0.3
627
Tumor
0.2
824
Normal
0.2
425
Tumor
0.2
311
Tumor
0.2
428
Normal
0.2
231
Tumor
0.2
482
Normal
0.2
661
Tumor
0.2
343
Tumor
0.2
436
Normal
0.2
367
Tumor
0.2
615
Tumor
0.2
128
Normal
0.1
756
Normal
0.1
882
Normal
0.1
738
Normal
0.1
472
Normal
0.1
525
Tumor
0.1
414
Normal
0.1
267
Tumor
0.1
723
Tumor
0.1
196
Normal
0.1
695
Tumor
0.1
737
Tumor
0.1
727
Tumor
0.1
357
Tumor
0.1
135
Tumor
0.1
546
Normal
0.1
786
Normal
0.1
427
Tumor
0.1
162
Normal
0.1
185
Tumor
0.1
1026
Normal
0.1
462
Normal
0.1
557
Tumor
0.1
172
Normal
0.1
515
Tumor
0.1
394
Normal
0.1
982
Normal
0.1
858
Normal
0.1
513
Tumor
0.1
944
Normal
0.1
391
Tumor
0.1
376
Normal
0.0
912
Normal
0.0
742
Normal
0.0
298
Normal
0.0
424
Normal
0.0
925
Tumor
0.0
563
Tumor
0.0
342
Normal
0.0
484
Normal
0.0
111
Normal
0.0
364
Normal
0.0
862
Normal
0.0
132
Normal
0.0
432
Normal
0.0
1021
Tumor
0.0
148
Normal
0.0
136
Normal
0.0
883
Tumor
0.0
422
Normal
0.0
356
Normal
0.0
698
Normal
0.0
497
Tumor
0.0
537
Tumor
0.0
746
Normal
0.0
951
Tumor
0.0
1014
Normal
0.0
722
Normal
0.0
1022
Normal
0.0
222
Normal
0.0
533
Tumor
0.0
923
Tumor
0.0
258
Normal
0.0
818
Normal
0.0
534
Normal
0.0
488
Normal
0.0
461
Tumor
0.0
466
Normal
0.0
728
Normal
0.0
664
Normal
0.0
952
Normal
0.0
1032
Normal
0.0
361
Tumor
0.0
938
Normal
0.0
978
Normal
0.0
518
Normal
0.0
648
Normal
0.0
1016
Normal
0.0
618
Normal
0.0
1042
Normal
0.0
866
Normal
0.0
286
Normal
0.0
232
Normal
0.0
228
Normal
0.0
865
Tumor
0.0
966
Normal
0.0
857
Tumor
0.0
358
Normal
-0.1
954
Normal
-0.1
366
Normal
-0.1
314
Normal
-0.1
464
Normal
-0.1
161
Tumor
-0.1
416
Normal
-0.1
528
Normal
-0.1
744
Normal
-0.1
914
Normal
-0.1
426
Normal
-0.1
278
Normal
-0.1
616
Normal
-0.1
362
Normal
-0.1
884
Normal
-0.1
483
Tumor
-0.1
816
Normal
-0.1
864
Normal
-0.1
384
Normal
-0.1
662
Normal
-0.1
976
Normal
-0.1
868
Normal
-0.1
628
Normal
-0.1
516
Normal
-0.1
474
Normal
-0.1
412
Normal
-0.1
272
Normal
-0.1
964
Normal
-0.1
1044
Normal
-0.1
465
Tumor
-0.1
431
Tumor
-0.1
564
Normal
-0.1
223
Tumor
-0.1
514
Normal
-0.1
388
Normal
-0.1
186
Normal
-0.1
146
Normal
-0.1
481
Tumor
-0.1
568
Normal
-0.1
926
Normal
-0.1
878
Normal
-0.1
114
Normal
-0.1
478
Normal
-0.1
392
Normal
-0.1
1046
Normal
-0.1
354
Normal
-0.1
344
Normal
-0.1
212
Normal
-0.1
922
Normal
-0.1
697
Tumor
-0.1
755
Tumor
-0.1
823
Tumor
-0.1
368
Normal
-0.1
113
Tumor
-0.1
262
Normal
-0.1
137
Tumor
-0.1
284
Normal
-0.1
227
Tumor
-0.1
456
Normal
-0.1
448
Normal
-0.1
924
Normal
-0.1
491
Tumor
-0.1
778
Normal
-0.1
666
Normal
-0.1
328
Normal
-0.1
498
Normal
-0.1
327
Tumor
-0.1
332
Normal
-0.1
572
Normal
-0.1
386
Normal
-0.1
874
Normal
-0.1
696
Normal
-0.1
217
Tumor
-0.1
413
Tumor
-0.1
958
Normal
-0.1
365
Tumor
-0.1
716
Normal
-0.1
444
Normal
-0.1
963
Tumor
-0.1
138
Normal
-0.1
493
Tumor
-0.1
686
Normal
-0.2
446
Normal
-0.2
451
Tumor
-0.2
396
Normal
-0.2
468
Normal
-0.2
188
Normal
-0.2
538
Normal
-0.2
142
Normal
-0.2
261
Tumor
-0.2
112
Tumor
-0.2
312
Normal
-0.2
558
Normal
-0.2
494
Normal
-0.2
852
Normal
-0.2
777
Tumor
-0.2
1028
Normal
-0.2
814
Normal
-0.2
981
Tumor
-0.2
352
Normal
-0.2
956
Normal
-0.2
916
Normal
-0.2
213
Tumor
-0.2
984
Normal
-0.2
918
Normal
-0.2
224
Normal
-0.2
983
Tumor
-0.2
268
Normal
-0.2
724
Normal
-0.2
452
Normal
-0.2
214
Normal
-0.2
636
Normal
-0.2
126
Normal
-0.2
187
Tumor
-0.2
1041
Tumor
-0.2
917
Tumor
-0.2
385
Tumor
-0.2
421
Tumor
-0.2
968
Normal
-0.2
574
Normal
-0.2
195
Tumor
-0.2
435
Tumor
-0.2
642
Normal
-0.2
554
Normal
-0.2
526
Normal
-0.2
492
Normal
-0.2
351
Tumor
-0.2
434
Normal
-0.2
218
Normal
-0.3
867
Tumor
-0.3
1015
Tumor
-0.3
877
Tumor
-0.3
672
Normal
-0.3
955
Tumor
-0.3
745
Tumor
-0.3
363
Tumor
-0.3
192
Normal
-0.3
535
Tumor
-0.3
124
Normal
-0.3
851
Tumor
-0.3
721
Tumor
-0.3
863
Tumor
-0.3
943
Tumor
-0.3
285
Tumor
-0.3
815
Tumor
-0.3
915
Tumor
-0.3
171
Tumor
-0.3
873
Tumor
-0.3
1045
Tumor
-0.3
524
Normal
-0.3
536
Normal
-0.4
353
Tumor
-0.4
517
Tumor
-0.4
211
Tumor
-0.4
467
Tumor
-0.4
433
Tumor
-0.4
147
Tumor
-0.4
445
Tumor
-0.4
145
Tumor
-0.4
977
Tumor
-0.4
463
Tumor
-0.4
411
Tumor
-0.5
123
Tumor
-0.5
141
Tumor
-0.5
297
Tumor
-0.5
331
Tumor
-0.5
785
Tumor
-0.5
477
Tumor
-0.5
127
Tumor
-0.5
487
Tumor
-0.5
415
Tumor
-0.5
714
Normal
-0.5
341
Tumor
-0.5
443
Tumor
-0.5
455
Tumor
-0.5
447
Tumor
-0.5
545
Tumor
-0.5
131
Tumor
-0.5
967
Tumor
-0.5
913
Tumor
-0.6
191
Tumor
-0.6
277
Tumor
-0.6
355
Tumor
-0.6
635
Tumor
-0.6
665
Tumor
-0.6
671
Tumor
-0.6
713
Tumor
-0.6
1043
Tumor
-0.6
523
Tumor
-0.6
473
Tumor
-0.7
715
Tumor
-0.7
817
Tumor
-0.7
393
Tumor
-0.7
743
Tumor
-0.7
957
Tumor
-0.8
937
Tumor
-0.8
271
Tumor
-0.8
965
Tumor
-0.8
1031
Tumor
-0.8
911
Tumor
-0.9
881
Tumor
-0.9
975
Tumor
-0.9
471
Tumor
-0.9
861
Tumor
-1.0
553
Tumor
-1.0
1025
Tumor
-1.0
921
Tumor
-1.0
221
Tumor
-1.0
641
Tumor
-1.2
647
Tumor
-1.2
617
Tumor
-1.7
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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.