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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.
GSTA1 is not prognostic in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 1.63
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.048
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.
53%
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.
43%
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
608.0
Number of samples
362
Samples
Sample
Description
TPM
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
4132.0
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
3747.2
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
3576.7
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
3535.4
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
2951.6
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
2706.5
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
2601.6
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
2355.1
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
2327.2
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
2300.2
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
2288.8
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
2220.3
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
2173.4
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
2085.9
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
2065.9
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
1972.5
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1941.5
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1887.6
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
1859.0
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1833.8
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
1831.6
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
1829.7
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1827.3
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1776.0
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
1765.4
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1755.4
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
1750.1
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
1690.1
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1672.1
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1669.5
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
1640.2
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1618.6
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
1578.7
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
1521.6
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1462.7
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1428.4
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
1396.6
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
1391.6
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
1338.7
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1336.8
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1259.4
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1258.3
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
1243.0
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
1219.0
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
1214.2
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
1210.8
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
1197.4
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
1193.4
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1193.4
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
1179.3
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1167.1
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
1164.7
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
1138.2
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1133.2
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
1124.7
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
1123.2
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
1121.7
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
1119.6
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
1115.2
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1115.0
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
1108.8
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1106.6
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
1102.2
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
1097.0
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
1091.7
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1086.6
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
1082.2
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1065.0
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
1052.4
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
1049.6
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1034.6
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1020.4
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
1009.6
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
977.5
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
937.6
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
931.9
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
931.8
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
931.5
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
928.5
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
928.0
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
926.0
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
923.5
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
921.5
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
913.4
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
911.8
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
902.1
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
901.1
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
900.9
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
894.5
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
894.3
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
876.9
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
857.0
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
855.2
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
842.0
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
839.1
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
837.0
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
822.6
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
817.9
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
810.1
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
804.3
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
800.7
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
796.8
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
786.5
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
785.6
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
780.3
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
774.3
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
773.8
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
773.0
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
735.3
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
733.7
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
729.4
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
724.8
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
721.4
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
719.0
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
718.9
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
718.8
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
716.7
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
714.9
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
708.1
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
700.1
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
696.4
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
686.6
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
680.1
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
676.2
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
676.2
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
672.3
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
662.3
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
659.0
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
656.3
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
656.2
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
646.4
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
645.6
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
638.5
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
630.1
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
628.1
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
618.2
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
616.2
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
615.4
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
615.3
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
609.1
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
606.7
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
595.4
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
590.0
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
585.8
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
583.8
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
582.7
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
573.8
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
571.6
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
567.4
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
565.6
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
556.5
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
547.9
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
546.0
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
545.5
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
540.2
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
530.2
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
519.6
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
517.1
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
512.6
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
511.7
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
500.4
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
497.6
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
484.0
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
483.3
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
480.6
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
473.3
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
468.1
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
463.8
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
455.3
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
452.2
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
451.3
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
449.9
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
441.4
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
425.2
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
420.5
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
419.4
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
419.4
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
416.9
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
414.3
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
414.1
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
405.6
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
402.0
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
399.5
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
397.2
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
395.9
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
389.2
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
383.1
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
380.9
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
356.9
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
356.0
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
355.0
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
352.0
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
350.6
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
348.7
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
342.1
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
341.5
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
338.9
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
338.4
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
335.7
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
333.1
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
333.0
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
331.9
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
317.7
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
313.6
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
309.7
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
308.4
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
302.5
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
300.2
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
298.8
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
295.9
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
293.5
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
293.2
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
292.8
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
291.2
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
289.7
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
288.2
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
276.3
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
276.1
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
275.5
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
269.4
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
269.4
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
267.9
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
261.2
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
258.7
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
255.0
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
252.9
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
252.3
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
251.9
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
251.9
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
248.1
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
247.9
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
244.3
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
241.2
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
237.8
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
236.6
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
234.7
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
234.6
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
234.1
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
227.2
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
221.1
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
220.9
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
218.5
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
212.1
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
208.3
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
204.5
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
202.8
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
202.3
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
193.9
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
188.8
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
187.4
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
185.5
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
182.7
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
182.1
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
181.6
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
180.2
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
173.9
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
173.3
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
170.1
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
169.2
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
167.7
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
165.9
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
157.7
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
153.8
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
152.6
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
151.7
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
150.7
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
148.7
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
148.7
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
146.0
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
145.5
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
143.3
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
140.3
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
138.7
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
131.0
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
130.9
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
129.6
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
120.7
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
119.4
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
118.7
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
112.5
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
105.8
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
105.4
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
99.6
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
99.5
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
98.9
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
98.2
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
97.5
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
97.1
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
96.5
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
94.3
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
91.2
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
90.5
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
88.2
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
86.4
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
85.0
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
78.9
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
78.7
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
77.8
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
74.6
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
71.2
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
66.8
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
59.2
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
58.0
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
56.5
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
54.2
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
51.2
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
50.2
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
48.3
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
45.2
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
44.1
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
44.0
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
42.9
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
40.1
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
39.8
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
35.8
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
28.6
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
27.0
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
23.9
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
22.2
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
21.3
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
21.0
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
19.8
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
19.6
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
18.9
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
17.3
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
16.6
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
15.2
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
15.2
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
14.9
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
14.2
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
12.6
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
11.8
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
11.7
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
10.8
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
8.8
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
8.7
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
6.8
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
6.1
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
5.7
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
5.0
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
4.7
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
4.7
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
3.7
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
2.0
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
1.9
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
1.9
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
1.8
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1.8
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1.5
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1.4
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
0.9
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
0.9
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
0.8
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
0.8
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
0.7
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
0.2
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
0.2
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
0.2
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
0.1
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
0.1
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
0.0
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 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.
GSTA1 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.
: 2.14
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.0062
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
0%
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
58%
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
653.3
Number of samples
231
Samples
Sample
Description
TPM
DO48759
73 years, male, NA, stage:3, alive, 720 days
5701.9
DO48723
73 years, male, NA, stage:1, alive, 600 days
3141.3
DO23552
80 years, female, NA, stage:1, alive, 810 days
3068.2
DO23537
79 years, male, NA, stage:2, dead, 900 days
2671.0
DO23533
61 years, male, NA, stage:2, alive, 900 days
2405.5
DO50840
49 years, male, NA, stage:2, alive, 330 days
2238.9
DO50814
83 years, male, NA, stage:3, alive, 420 days
2124.2
DO48742
76 years, male, NA, stage:2, alive, 600 days
2018.4
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1781.1
DO50793
76 years, male, NA, stage:4, alive, 540 days
1775.1
DO48746
76 years, male, NA, stage:3, alive, 570 days
1723.5
DO50825
70 years, male, NA, stage:2, alive, 390 days
1708.9
DO45237
58 years, male, NA, stage:2, alive, 900 days
1655.9
DO45111
74 years, male, NA, stage:2, alive, 1590 days
1635.7
DO23550
69 years, male, NA, stage:1, alive, 990 days
1626.6
DO48741
64 years, male, NA, stage:3, alive, 240 days
1571.1
DO45255
81 years, male, NA, stage:3, alive, 720 days
1565.8
DO45123
78 years, female, NA, stage:2, dead, 570 days
1511.8
DO50807
67 years, male, NA, stage:1, alive, 540 days
1506.6
DO23527
72 years, male, NA, stage:1, alive, 1050 days
1501.3
DO23509
60 years, male, NA, stage:3, dead, 780 days
1494.8
DO45099
46 years, male, NA, stage:3, alive, 1590 days
1396.9
DO50808
68 years, male, NA, stage:2, alive, 570 days
1392.9
DO48721
58 years, female, NA, stage:1, alive, 900 days
1370.5
DO45235
68 years, female, NA, stage:1, alive, 900 days
1341.3
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1300.9
DO50804
81 years, male, NA, stage:2, alive, 720 days
1286.9
DO23548
78 years, female, NA, stage:1, alive, 840 days
1276.3
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1262.4
DO50776
75 years, male, NA, stage:1, alive, 690 days
1247.3
DO45163
76 years, male, NA, stage:2, alive, 960 days
1239.6
DO45229
74 years, male, NA, stage:1, alive, 990 days
1193.6
DO45117
73 years, female, NA, stage:2, dead, 1110 days
1176.0
DO23519
65 years, male, NA, stage:3, alive, 630 days
1174.4
DO50844
75 years, male, NA, stage:4, alive, 300 days
1164.8
DO50829
78 years, male, NA, stage:3, alive, 570 days
1159.8
DO45113
58 years, male, NA, stage:3, alive, 1560 days
1158.6
DO23541
65 years, male, NA, stage:2, alive, 930 days
1155.6
DO48674
80 years, male, NA, stage:2, alive, 1260 days
1155.0
DO45227
57 years, female, NA, stage:2, alive, 1020 days
1150.0
DO48715
58 years, female, NA, stage:2, dead, 690 days
1127.8
DO50818
65 years, male, NA, stage:2, alive, 510 days
1109.7
DO45137
38 years, male, NA, stage:1, alive, 1320 days
1099.1
DO50813
56 years, male, NA, stage:2, alive, 420 days
1057.1
DO48736
76 years, female, NA, stage:1, alive, 600 days
1051.5
DO45094
76 years, male, NA, stage:3, alive, 1650 days
1046.9
DO23528
45 years, female, NA, stage:2, alive, 1020 days
1041.6
DO48751
68 years, male, NA, stage:2, dead, 480 days
1009.0
DO48677
58 years, male, NA, stage:3, alive, 1140 days
1008.1
DO50859
77 years, male, NA, stage:2, alive, 180 days
1000.2
DO45195
62 years, male, NA, stage:1, alive, 390 days
987.2
DO50799
66 years, female, NA, stage:2, alive, 540 days
987.0
DO45177
81 years, female, NA, stage:3, alive, 1260 days
973.7
DO48704
68 years, female, NA, stage:3, alive, 750 days
967.9
DO23545
67 years, male, NA, stage:2, dead, 570 days
956.6
DO45223
67 years, male, NA, stage:4, alive, 1020 days
954.3
DO45096
69 years, male, NA, stage:2, dead, 1290 days
954.2
DO48761
55 years, male, NA, stage:2, alive, 870 days
952.6
DO23517
62 years, male, NA, stage:2, alive, 1200 days
942.0
DO50822
66 years, male, NA, stage:2, alive, 510 days
925.4
DO45247
31 years, female, NA, stage:2, alive, 210 days
918.0
DO45129
61 years, male, NA, stage:3, alive, 1470 days
909.1
DO45181
84 years, female, NA, stage:2, alive, 1200 days
907.9
DO45133
64 years, male, NA, stage:3, dead, 660 days
899.2
DO48727
81 years, female, NA, stage:2, dead, 390 days
888.9
DO23531
78 years, female, NA, stage:3, alive, 900 days
862.0
DO45253
50 years, male, NA, stage:2, alive, 870 days
860.4
DO45109
63 years, male, NA, stage:2, alive, 1590 days
850.0
DO23540
73 years, male, NA, stage:1, alive, 750 days
828.2
DO50789
73 years, female, NA, stage:2, alive, 570 days
828.1
DO45105
61 years, male, NA, stage:1, alive, 1680 days
826.4
DO23536
56 years, male, NA, stage:2, alive, 930 days
826.1
DO45233
83 years, male, NA, stage:3, alive, 900 days
825.4
DO227643
79 years, male, NA, stage:2, alive, 1260 days
823.4
DO45215
65 years, male, NA, stage:2, alive, 1170 days
817.3
DO48706
72 years, male, NA, stage:2, alive, 870 days
815.3
DO23508
79 years, female, NA, stage:2, alive, 390 days
803.5
DO45107
63 years, female, NA, stage:2, alive, 1710 days
803.1
DO48697
64 years, female, NA, stage:2, dead, 810 days
794.5
DO23521
63 years, male, NA, stage:3, alive, 1110 days
761.4
DO23525
71 years, male, NA, stage:4, alive, 1050 days
760.8
DO45179
78 years, female, NA, stage:2, alive, 600 days
752.9
DO45143
69 years, male, NA, stage:3, alive, 1290 days
730.5
DO50839
47 years, female, NA, stage:3, alive, 330 days
724.0
DO50783
62 years, male, NA, stage:3, alive, 480 days
719.9
DO48760
70 years, female, NA, stage:2, alive, 690 days
717.5
DO45261
74 years, male, NA, stage:3, alive, 990 days
705.9
DO50774
68 years, female, NA, stage:2, alive, 720 days
688.6
DO45169
74 years, male, NA, stage:3, alive, 1350 days
682.0
DO45175
74 years, male, NA, stage:2, alive, 1140 days
678.0
DO45221
75 years, female, NA, stage:4, dead, 390 days
671.5
DO50803
62 years, female, NA, stage:1, alive, 540 days
667.4
DO23534
60 years, male, NA, stage:2, alive, 840 days
665.0
DO48700
78 years, female, NA, stage:2, alive, 810 days
657.7
DO50802
49 years, male, NA, stage:2, alive, 930 days
625.2
DO23532
71 years, female, NA, stage:1, alive, 960 days
621.9
DO50857
72 years, male, NA, stage:2, alive, 210 days
619.0
DO45115
81 years, male, NA, stage:2, alive, 840 days
609.2
DO23542
66 years, male, NA, stage:3, alive, 960 days
581.7
DO48712
50 years, male, NA, stage:2, alive, 810 days
571.6
DO45173
63 years, male, NA, stage:3, alive, 1170 days
562.8
DO48733
72 years, male, NA, stage:2, alive, 600 days
560.0
DO45207
68 years, male, NA, stage:1, alive, 1050 days
557.1
DO48732
73 years, male, NA, stage:3, alive, 630 days
556.0
DO45091
56 years, male, NA, stage:2, dead, 1320 days
553.6
DO45211
76 years, male, NA, stage:3, alive, 240 days
553.0
DO23544
67 years, male, NA, stage:2, alive, 960 days
550.9
DO50817
75 years, male, NA, stage:2, alive, 390 days
548.9
DO23538
67 years, male, NA, stage:2, alive, 450 days
539.2
DO45093
71 years, male, NA, stage:2, dead, 720 days
535.9
DO50819
72 years, female, NA, stage:2, alive, 510 days
531.4
DO50787
63 years, male, NA, stage:3, alive, 480 days
524.3
DO23510
80 years, female, NA, stage:2, alive, 870 days
523.4
DO50832
73 years, male, NA, stage:3, alive, 90 days
518.2
DO23512
60 years, male, NA, stage:1, alive, 1260 days
511.2
DO48757
68 years, female, NA, stage:3, alive, 480 days
505.5
DO45141
73 years, male, NA, stage:2, alive, 1320 days
504.2
DO50811
62 years, male, NA, stage:1, alive, 450 days
500.1
DO48728
74 years, female, NA, stage:2, alive, 150 days
498.6
DO227801
77 years, female, NA, stage:1, alive, 660 days
494.7
DO23551
73 years, male, NA, stage:3, dead, 150 days
494.0
DO48701
78 years, male, NA, stage:2, alive, 780 days
477.6
DO23543
63 years, male, NA, stage:2, alive, 1020 days
476.1
DO50809
56 years, male, NA, stage:3, dead, 720 days
471.1
DO45197
51 years, male, NA, stage:2, alive, 1170 days
462.7
DO45135
77 years, male, NA, stage:1, alive, 1410 days
462.2
DO45125
58 years, male, NA, stage:3, alive, 1680 days
452.6
DO48725
66 years, male, NA, stage:1, alive, 780 days
451.2
DO45187
32 years, female, NA, stage:1, alive, 1260 days
448.8
DO45257
46 years, male, NA, stage:3, alive, 810 days
448.5
DO45201
49 years, male, NA, stage:1, alive, 900 days
440.2
DO50791
79 years, female, NA, stage:1, dead, 480 days
439.9
DO45092
62 years, male, NA, stage:4, dead, 1200 days
426.3
DO45265
73 years, male, NA, stage:3, alive, 1020 days
424.3
DO45165
75 years, male, NA, stage:2, alive, 690 days
423.9
DO50850
74 years, male, NA, stage:3, alive, 720 days
405.3
DO45219
78 years, male, NA, stage:2, alive, 1080 days
403.6
DO23515
71 years, male, NA, stage:2, alive, 1230 days
393.0
DO45101
63 years, male, NA, stage:2, alive, 1680 days
391.5
DO23518
67 years, male, NA, stage:2, alive, 1320 days
377.4
DO45263
67 years, male, NA, stage:3, dead, 270 days
372.5
DO48682
72 years, female, NA, stage:3, dead, 120 days
358.5
DO48743
69 years, female, NA, stage:2, alive, 570 days
350.0
DO48695
77 years, male, NA, stage:2, alive, 720 days
346.0
DO50845
72 years, male, NA, stage:3, alive, 210 days
334.9
DO45191
61 years, female, NA, stage:2, alive, 1200 days
334.6
DO45281
83 years, male, NA, stage:4, alive, 750 days
329.3
DO45167
67 years, male, NA, stage:2, dead, 1440 days
327.7
DO48672
81 years, male, NA, stage:2, alive, 450 days
326.4
DO23526
66 years, male, NA, stage:3, alive, 1050 days
321.7
DO45097
69 years, male, NA, stage:3, alive, 1620 days
319.6
DO45273
62 years, male, NA, stage:2, alive, 480 days
308.0
DO48716
71 years, male, NA, stage:2, alive, 720 days
304.9
DO50798
77 years, male, NA, stage:3, dead, 30 days
291.2
DO48693
71 years, male, NA, stage:2, alive, 900 days
283.6
DO23546
63 years, male, NA, stage:2, alive, 1050 days
281.6
DO45243
74 years, female, NA, stage:3, alive, 930 days
269.2
DO45203
71 years, female, NA, stage:2, alive, 1170 days
263.4
DO45269
59 years, male, NA, stage:3, alive, 750 days
261.6
DO45213
58 years, male, NA, stage:1, alive, 1200 days
256.4
DO50820
77 years, female, NA, stage:3, alive, 510 days
255.0
DO45193
68 years, female, NA, stage:4, dead, 120 days
251.5
DO50778
60 years, male, NA, stage:4, alive, 630 days
248.7
DO50785
37 years, male, NA, stage:4, dead, 90 days
247.1
DO45119
74 years, male, NA, stage:3, dead, 510 days
246.4
DO45139
63 years, male, NA, stage:3, alive, 1320 days
245.6
DO45153
77 years, female, NA, stage:2, alive, 1380 days
219.4
DO48681
57 years, male, NA, stage:2, alive, 900 days
210.6
DO50855
47 years, male, NA, stage:2, alive, 570 days
203.7
DO45217
69 years, female, NA, stage:3, dead, 270 days
202.1
DO45231
84 years, male, NA, stage:2, alive, 930 days
201.7
DO45157
62 years, male, NA, stage:2, alive, 1980 days
197.9
DO45149
70 years, female, NA, stage:2, alive, 1260 days
195.4
DO48717
54 years, male, NA, stage:4, dead, 180 days
185.8
DO45183
72 years, female, NA, stage:2, dead, 570 days
178.9
DO45161
74 years, male, NA, stage:2, dead, 540 days
176.9
DO45121
61 years, male, NA, stage:3, alive, 1530 days
176.8
DO23511
83 years, female, NA, stage:3, dead, 180 days
166.8
DO45275
65 years, male, NA, stage:3, dead, 10 days
160.0
DO50800
74 years, male, NA, stage:2, alive, 510 days
159.8
DO23513
76 years, male, NA, stage:3, alive, 1200 days
153.0
DO45171
56 years, male, NA, stage:3, alive, 600 days
149.9
DO45239
42 years, male, NA, stage:2, alive, 870 days
144.5
DO45241
49 years, male, NA, stage:1, alive, 1080 days
124.5
DO50805
72 years, male, NA, stage:2, alive, 690 days
124.0
DO50806
70 years, male, NA, stage:4, alive, 540 days
120.8
DO48730
73 years, female, NA, stage:2, alive, 630 days
118.3
DO45205
67 years, female, NA, stage:2, dead, 90 days
115.7
DO23524
71 years, female, NA, stage:2, alive, 1050 days
114.2
DO23535
67 years, male, NA, stage:1, alive, 960 days
113.8
DO48719
80 years, male, NA, stage:2, alive, 690 days
113.3
DO50816
63 years, male, NA, stage:2, alive, 390 days
98.0
DO48737
52 years, male, NA, stage:1, alive, 720 days
92.6
DO23516
69 years, male, NA, stage:3, dead, 20 days
89.6
DO23530
53 years, male, NA, stage:4, dead, 180 days
85.8
DO48720
62 years, female, NA, stage:2, alive, 570 days
85.4
DO45251
57 years, female, NA, stage:2, alive, 900 days
81.7
DO48747
62 years, male, NA, stage:3, alive, 540 days
81.1
DO45131
53 years, male, NA, stage:4, dead, 360 days
80.5
DO45155
69 years, male, NA, stage:2, alive, 2160 days
80.3
DO23549
74 years, male, NA, stage:3, alive, 990 days
64.7
DO45249
57 years, male, NA, stage:1, alive, 630 days
60.4
DO50815
62 years, male, NA, stage:3, alive, 150 days
54.7
DO45103
47 years, male, NA, stage:3, alive, 450 days
48.9
DO45095
66 years, male, NA, stage:2, alive, 1620 days
45.6
DO23514
64 years, male, NA, stage:2, alive, 1290 days
36.6
DO45185
89 years, male, NA, stage:2, alive, 600 days
34.3
DO45145
78 years, male, NA, stage:3, dead, 60 days
24.3
DO23547
74 years, male, NA, stage:1, alive, 1020 days
16.2
DO45199
86 years, female, NA, stage:2, alive, 1350 days
14.5
DO45297
61 years, female, NA, stage:4, dead, 1260 days
13.5
DO45209
70 years, male, NA, stage:4, alive, 1350 days
13.5
DO45289
78 years, female, NA, stage:3, alive, 360 days
13.3
DO45267
73 years, male, NA, stage:3, dead, 570 days
9.6
DO45189
85 years, female, NA, stage:2, alive, 1200 days
9.3
DO45159
65 years, male, NA, stage:3, alive, 1470 days
8.1
DO45287
74 years, male, NA, stage:1, alive, 390 days
7.1
DO45285
59 years, male, NA, stage:3, alive, 480 days
6.6
DO23529
72 years, male, NA, stage:4, alive, 930 days
5.1
DO45305
66 years, male, NA, stage:4, alive, 300 days
4.4
DO45301
56 years, male, NA, stage:2, dead, 1440 days
3.7
DO45127
73 years, male, NA, stage:3, dead, 420 days
3.2
DO45303
62 years, female, NA, stage:3, alive, 990 days
2.1
DO45279
67 years, male, NA, stage:3, alive, 1290 days
1.9
DO45283
60 years, male, NA, stage:3, alive, 510 days
1.7
DO45245
75 years, female, NA, stage:2, dead, 240 days
1.4
DO45277
64 years, male, NA, stage:3, alive, 600 days
1.2
DO23523
52 years, male, NA, stage:3, alive, 1080 days
1.0
DO45307
54 years, female, NA, stage:4, dead, 240 days
0.8
DO45259
65 years, male, NA, stage:3, alive, 330 days
0.6
DO45299
70 years, female, NA, stage:1, alive, 1440 days
0.3
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
698
Normal
1.2
428
Normal
1.1
482
Normal
1.1
342
Normal
1.1
222
Normal
1.1
196
Normal
1.0
436
Normal
1.0
964
Normal
1.0
111
Normal
1.0
426
Normal
1.0
824
Normal
1.0
818
Normal
1.0
1046
Normal
1.0
723
Tumor
1.0
1026
Normal
0.9
912
Normal
0.9
162
Normal
0.9
744
Normal
0.8
258
Normal
0.8
358
Normal
0.8
416
Normal
0.8
415
Tumor
0.8
432
Normal
0.8
481
Tumor
0.8
298
Normal
0.8
366
Normal
0.8
882
Normal
0.8
858
Normal
0.8
128
Normal
0.8
314
Normal
0.8
388
Normal
0.8
926
Normal
0.8
742
Normal
0.8
472
Normal
0.8
394
Normal
0.8
618
Normal
0.8
353
Tumor
0.8
648
Normal
0.8
714
Normal
0.7
186
Normal
0.7
982
Normal
0.7
414
Normal
0.7
424
Normal
0.7
464
Normal
0.7
862
Normal
0.7
114
Normal
0.7
422
Normal
0.7
132
Normal
0.7
146
Normal
0.7
364
Normal
0.7
172
Normal
0.7
396
Normal
0.7
663
Tumor
0.7
456
Normal
0.7
924
Normal
0.7
756
Normal
0.7
278
Normal
0.7
1045
Tumor
0.7
354
Normal
0.7
616
Normal
0.6
462
Normal
0.6
332
Normal
0.6
666
Normal
0.6
534
Normal
0.6
136
Normal
0.6
488
Normal
0.6
568
Normal
0.6
664
Normal
0.6
376
Normal
0.6
938
Normal
0.6
786
Normal
0.6
738
Normal
0.6
272
Normal
0.6
412
Normal
0.6
1042
Normal
0.6
232
Normal
0.6
746
Normal
0.6
914
Normal
0.6
484
Normal
0.6
615
Tumor
0.5
218
Normal
0.5
864
Normal
0.5
212
Normal
0.5
356
Normal
0.5
214
Normal
0.5
1016
Normal
0.5
446
Normal
0.5
518
Normal
0.5
228
Normal
0.5
148
Normal
0.5
448
Normal
0.5
662
Normal
0.5
1044
Normal
0.4
866
Normal
0.4
1022
Normal
0.4
878
Normal
0.4
362
Normal
0.4
514
Normal
0.4
628
Normal
0.4
564
Normal
0.4
138
Normal
0.4
695
Tumor
0.4
546
Normal
0.4
728
Normal
0.4
433
Tumor
0.4
966
Normal
0.4
956
Normal
0.4
466
Normal
0.4
944
Normal
0.4
142
Normal
0.4
1032
Normal
0.4
636
Normal
0.4
722
Normal
0.4
696
Normal
0.4
286
Normal
0.3
267
Tumor
0.3
976
Normal
0.3
262
Normal
0.3
352
Normal
0.3
922
Normal
0.3
474
Normal
0.3
312
Normal
0.3
126
Normal
0.3
452
Normal
0.3
642
Normal
0.3
572
Normal
0.3
386
Normal
0.3
868
Normal
0.2
816
Normal
0.2
344
Normal
0.2
716
Normal
0.2
516
Normal
0.2
526
Normal
0.2
1014
Normal
0.2
884
Normal
0.2
686
Normal
0.2
528
Normal
0.2
958
Normal
0.2
617
Tumor
0.2
968
Normal
0.2
384
Normal
0.2
874
Normal
0.2
328
Normal
0.2
954
Normal
0.1
368
Normal
0.1
978
Normal
0.1
778
Normal
0.1
494
Normal
0.1
918
Normal
0.1
574
Normal
0.1
468
Normal
0.1
955
Tumor
0.1
434
Normal
0.1
571
Tumor
0.1
161
Tumor
0.0
745
Tumor
0.0
463
Tumor
0.0
423
Tumor
0.0
188
Normal
0.0
363
Tumor
0.0
852
Normal
0.0
113
Tumor
0.0
647
Tumor
0.0
558
Normal
-0.1
112
Tumor
-0.1
672
Normal
-0.1
984
Normal
-0.1
952
Normal
-0.1
227
Tumor
-0.1
477
Tumor
-0.1
284
Normal
-0.1
221
Tumor
-0.1
923
Tumor
-0.1
554
Normal
-0.1
392
Normal
-0.2
261
Tumor
-0.2
785
Tumor
-0.2
478
Normal
-0.2
125
Tumor
-0.2
431
Tumor
-0.2
515
Tumor
-0.2
224
Normal
-0.2
141
Tumor
-0.2
444
Normal
-0.3
192
Normal
-0.3
916
Normal
-0.3
145
Tumor
-0.3
627
Tumor
-0.3
867
Tumor
-0.3
777
Tumor
-0.3
1028
Normal
-0.3
435
Tumor
-0.4
217
Tumor
-0.4
741
Tumor
-0.4
411
Tumor
-0.4
487
Tumor
-0.4
341
Tumor
-0.4
268
Normal
-0.4
137
Tumor
-0.4
863
Tumor
-0.4
977
Tumor
-0.4
538
Normal
-0.4
857
Tumor
-0.5
981
Tumor
-0.5
498
Normal
-0.5
421
Tumor
-0.5
873
Tumor
-0.5
123
Tumor
-0.5
913
Tumor
-0.6
443
Tumor
-0.6
911
Tumor
-0.6
1043
Tumor
-0.6
493
Tumor
-0.6
465
Tumor
-0.6
1041
Tumor
-0.6
427
Tumor
-0.6
517
Tumor
-0.7
355
Tumor
-0.7
124
Normal
-0.7
865
Tumor
-0.7
563
Tumor
-0.8
191
Tumor
-0.8
1013
Tumor
-0.8
257
Tumor
-0.8
357
Tumor
-0.8
524
Normal
-0.8
327
Tumor
-0.8
492
Normal
-0.8
365
Tumor
-0.9
713
Tumor
-0.9
127
Tumor
-0.9
727
Tumor
-0.9
861
Tumor
-0.9
361
Tumor
-0.9
553
Tumor
-1.0
721
Tumor
-1.0
187
Tumor
-1.0
213
Tumor
-1.0
525
Tumor
-1.0
313
Tumor
-1.0
1027
Tumor
-1.0
963
Tumor
-1.0
375
Tumor
-1.0
223
Tumor
-1.1
755
Tumor
-1.1
135
Tumor
-1.1
665
Tumor
-1.1
185
Tumor
-1.1
957
Tumor
-1.1
537
Tumor
-1.1
925
Tumor
-1.1
445
Tumor
-1.2
877
Tumor
-1.2
473
Tumor
-1.2
823
Tumor
-1.2
883
Tumor
-1.2
471
Tumor
-1.2
953
Tumor
-1.2
391
Tumor
-1.2
917
Tumor
-1.3
814
Normal
-1.3
461
Tumor
-1.3
921
Tumor
-1.3
277
Tumor
-1.3
513
Tumor
-1.3
533
Tumor
-1.3
447
Tumor
-1.4
536
Normal
-1.4
413
Tumor
-1.4
383
Tumor
-1.4
367
Tumor
-1.4
387
Tumor
-1.4
171
Tumor
-1.4
641
Tumor
-1.4
455
Tumor
-1.5
195
Tumor
-1.5
915
Tumor
-1.5
567
Tumor
-1.5
851
Tumor
-1.6
483
Tumor
-1.6
297
Tumor
-1.6
147
Tumor
-1.6
975
Tumor
-1.7
497
Tumor
-1.7
425
Tumor
-1.7
943
Tumor
-1.7
1025
Tumor
-1.7
881
Tumor
-1.8
1015
Tumor
-1.8
311
Tumor
-1.8
737
Tumor
-1.8
671
Tumor
-1.8
231
Tumor
-1.8
1031
Tumor
-1.9
715
Tumor
-1.9
573
Tumor
-1.9
813
Tumor
-1.9
965
Tumor
-1.9
491
Tumor
-1.9
1021
Tumor
-1.9
343
Tumor
-1.9
393
Tumor
-2.0
351
Tumor
-2.0
285
Tumor
-2.0
527
Tumor
-2.1
635
Tumor
-2.1
817
Tumor
-2.1
467
Tumor
-2.1
331
Tumor
-2.1
451
Tumor
-2.1
697
Tumor
-2.1
283
Tumor
-2.2
271
Tumor
-2.2
815
Tumor
-2.2
951
Tumor
-2.2
937
Tumor
-2.2
983
Tumor
-2.2
395
Tumor
-2.2
131
Tumor
-2.3
661
Tumor
-2.3
967
Tumor
-2.4
535
Tumor
-2.4
557
Tumor
-2.4
545
Tumor
-2.4
724
Normal
-2.4
211
Tumor
-2.5
685
Tumor
-2.5
523
Tumor
-2.5
385
Tumor
-2.7
743
Tumor
-2.7
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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.