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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.
C1S is validated prognostic, high expression is favorable in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
638.4
Number of samples
362
Samples
Sample
Description
TPM
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
2335.1
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
2210.5
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
2197.3
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
2016.9
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
1905.3
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
1812.9
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
1776.3
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1745.2
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
1709.9
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
1709.0
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
1668.8
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1649.3
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
1643.2
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
1632.0
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
1565.4
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1558.0
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
1537.3
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1507.5
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
1498.4
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
1474.8
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
1467.5
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1447.6
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1441.1
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
1421.1
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
1407.8
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1377.8
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
1368.2
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
1367.2
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
1337.7
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
1317.5
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
1306.7
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
1294.8
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
1283.7
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1281.8
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
1267.8
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
1266.3
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1222.6
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
1208.4
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
1207.3
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1206.5
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1194.1
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
1194.0
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1183.4
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1183.0
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
1180.8
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1172.8
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1171.4
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1168.5
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
1165.7
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1163.5
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
1157.3
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
1150.5
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
1125.3
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1121.2
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
1113.8
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
1112.6
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
1109.2
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
1105.5
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
1089.4
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
1077.4
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
1071.0
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
1063.5
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
1061.6
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
1051.9
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
1050.1
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
1044.7
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
1039.7
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
1033.8
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
1031.1
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
1028.8
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
1006.9
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1006.6
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
997.1
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
987.0
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
984.9
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
981.7
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
973.5
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
970.2
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
967.3
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
966.1
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
961.6
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
957.8
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
950.6
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
949.9
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
944.6
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
944.2
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
940.0
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
928.1
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
924.1
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
912.9
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
908.4
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
902.7
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
890.8
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
890.0
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
885.1
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
881.0
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
880.3
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
879.3
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
868.0
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
864.1
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
863.3
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
859.8
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
850.2
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
847.8
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
833.5
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
812.6
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
809.2
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
806.9
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
805.8
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
804.3
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
802.0
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
797.8
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
796.5
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
791.3
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
791.0
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
784.6
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
774.1
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
757.0
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
755.5
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
752.8
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
749.5
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
747.6
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
740.7
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
735.7
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
729.0
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
723.9
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
721.1
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
719.5
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
718.7
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
718.5
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
716.8
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
713.0
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
712.6
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
707.5
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
707.1
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
699.8
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
697.1
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
692.2
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
686.6
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
686.4
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
682.9
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
672.2
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
670.6
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
668.5
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
664.3
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
664.3
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
664.1
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
662.7
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
653.3
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
652.3
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
643.7
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
637.6
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
635.3
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
632.1
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
629.7
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
629.5
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
625.5
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
624.7
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
618.0
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
613.8
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
613.8
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
612.5
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
611.6
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
609.2
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
608.7
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
608.6
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
607.4
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
603.6
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
602.5
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
602.2
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
599.0
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
593.7
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
588.9
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
581.4
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
579.7
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
578.7
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
578.6
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
568.8
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
563.5
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
562.9
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
551.1
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
550.1
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
549.3
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
548.7
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
548.4
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
543.7
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
542.1
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
540.1
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
537.7
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
536.3
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
528.9
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
522.1
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
514.8
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
512.1
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
509.0
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
507.6
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
505.6
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
503.7
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
501.0
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
500.8
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
499.2
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
497.9
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
496.4
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
495.3
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
492.5
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
481.9
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
480.0
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
480.0
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
479.2
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
475.2
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
472.3
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
465.1
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
464.1
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
462.8
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
458.9
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
456.8
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
452.6
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
450.0
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
441.1
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
440.0
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
438.0
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
435.6
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
434.2
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
430.1
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
429.9
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
428.6
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
426.0
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
419.4
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
410.6
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
409.9
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
407.7
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
404.1
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
394.0
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
392.8
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
390.4
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
385.2
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
383.2
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
382.4
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
380.2
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
378.2
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
376.2
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
375.4
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
370.2
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
369.4
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
367.9
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
366.9
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
364.4
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
363.5
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
361.1
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
345.3
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
337.6
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
334.4
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
333.8
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
331.8
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
329.7
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
327.5
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
324.2
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
321.4
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
321.4
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
319.8
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
319.4
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
316.5
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
313.5
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
310.9
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
309.8
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
299.1
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
294.6
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
292.4
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
289.0
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
288.0
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
288.0
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
287.9
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
286.5
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
285.4
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
280.7
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
280.0
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
274.1
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
265.7
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
262.4
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
262.1
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
260.9
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
259.4
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
256.4
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
254.0
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
253.7
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
245.3
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
243.5
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
242.3
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
235.7
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
234.9
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
234.3
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
232.6
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
230.6
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
228.3
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
228.0
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
226.7
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
217.2
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
209.0
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
203.7
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
202.3
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
202.0
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
200.9
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
200.2
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
200.1
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
199.9
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
197.8
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
195.4
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
186.6
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
183.8
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
178.7
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
175.4
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
175.3
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
171.7
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
171.5
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
169.6
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
166.7
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
159.9
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
155.2
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
154.6
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
154.5
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
153.8
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
150.3
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
144.3
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
142.5
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
138.3
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
129.1
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
125.0
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
119.9
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
119.2
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
118.9
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
115.9
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
110.8
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
108.8
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
108.7
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
104.5
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
98.4
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
96.9
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
85.4
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
82.7
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
81.5
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
80.0
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
74.7
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
72.1
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
68.2
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
67.5
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
66.5
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
65.9
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
62.6
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
59.8
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
58.9
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
58.0
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
55.7
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
49.6
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
48.5
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
48.1
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
46.9
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
44.6
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
36.6
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
30.8
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
25.1
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
23.6
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 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.
C1S is validated prognostic, high expression is favorable in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
758.6
Number of samples
231
Samples
Sample
Description
TPM
DO23511
83 years, female, NA, stage:3, dead, 180 days
2591.7
DO45115
81 years, male, NA, stage:2, alive, 840 days
2379.5
DO45167
67 years, male, NA, stage:2, dead, 1440 days
2291.5
DO45159
65 years, male, NA, stage:3, alive, 1470 days
2109.5
DO45094
76 years, male, NA, stage:3, alive, 1650 days
1990.6
DO48716
71 years, male, NA, stage:2, alive, 720 days
1964.1
DO23527
72 years, male, NA, stage:1, alive, 1050 days
1917.5
DO50787
63 years, male, NA, stage:3, alive, 480 days
1869.1
DO45227
57 years, female, NA, stage:2, alive, 1020 days
1864.2
DO23509
60 years, male, NA, stage:3, dead, 780 days
1860.7
DO23550
69 years, male, NA, stage:1, alive, 990 days
1790.4
DO23549
74 years, male, NA, stage:3, alive, 990 days
1760.8
DO45199
86 years, female, NA, stage:2, alive, 1350 days
1634.0
DO50822
66 years, male, NA, stage:2, alive, 510 days
1602.7
DO23531
78 years, female, NA, stage:3, alive, 900 days
1599.2
DO45129
61 years, male, NA, stage:3, alive, 1470 days
1588.2
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1575.1
DO50798
77 years, male, NA, stage:3, dead, 30 days
1535.8
DO50789
73 years, female, NA, stage:2, alive, 570 days
1520.5
DO45237
58 years, male, NA, stage:2, alive, 900 days
1492.7
DO50816
63 years, male, NA, stage:2, alive, 390 days
1486.8
DO48704
68 years, female, NA, stage:3, alive, 750 days
1459.0
DO45235
68 years, female, NA, stage:1, alive, 900 days
1402.4
DO45111
74 years, male, NA, stage:2, alive, 1590 days
1402.1
DO48742
76 years, male, NA, stage:2, alive, 600 days
1377.3
DO45171
56 years, male, NA, stage:3, alive, 600 days
1346.8
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1345.7
DO227643
79 years, male, NA, stage:2, alive, 1260 days
1345.4
DO45181
84 years, female, NA, stage:2, alive, 1200 days
1331.2
DO45207
68 years, male, NA, stage:1, alive, 1050 days
1310.3
DO45261
74 years, male, NA, stage:3, alive, 990 days
1262.6
DO48743
69 years, female, NA, stage:2, alive, 570 days
1259.7
DO23538
67 years, male, NA, stage:2, alive, 450 days
1227.7
DO48760
70 years, female, NA, stage:2, alive, 690 days
1216.4
DO45215
65 years, male, NA, stage:2, alive, 1170 days
1207.5
DO23543
63 years, male, NA, stage:2, alive, 1020 days
1199.9
DO50819
72 years, female, NA, stage:2, alive, 510 days
1191.4
DO50840
49 years, male, NA, stage:2, alive, 330 days
1182.8
DO50813
56 years, male, NA, stage:2, alive, 420 days
1178.9
DO50800
74 years, male, NA, stage:2, alive, 510 days
1176.5
DO45195
62 years, male, NA, stage:1, alive, 390 days
1171.0
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1163.8
DO45253
50 years, male, NA, stage:2, alive, 870 days
1163.5
DO23536
56 years, male, NA, stage:2, alive, 930 days
1161.1
DO23551
73 years, male, NA, stage:3, dead, 150 days
1159.5
DO48693
71 years, male, NA, stage:2, alive, 900 days
1159.2
DO48695
77 years, male, NA, stage:2, alive, 720 days
1147.6
DO45123
78 years, female, NA, stage:2, dead, 570 days
1145.1
DO48719
80 years, male, NA, stage:2, alive, 690 days
1135.1
DO45201
49 years, male, NA, stage:1, alive, 900 days
1126.8
DO48674
80 years, male, NA, stage:2, alive, 1260 days
1114.5
DO50803
62 years, female, NA, stage:1, alive, 540 days
1112.8
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1086.5
DO50802
49 years, male, NA, stage:2, alive, 930 days
1078.4
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1076.0
DO50845
72 years, male, NA, stage:3, alive, 210 days
1066.3
DO50776
75 years, male, NA, stage:1, alive, 690 days
1057.4
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1032.8
DO45109
63 years, male, NA, stage:2, alive, 1590 days
1026.6
DO23542
66 years, male, NA, stage:3, alive, 960 days
1015.5
DO23548
78 years, female, NA, stage:1, alive, 840 days
1005.6
DO23530
53 years, male, NA, stage:4, dead, 180 days
1001.1
DO227801
77 years, female, NA, stage:1, alive, 660 days
993.0
DO45257
46 years, male, NA, stage:3, alive, 810 days
987.6
DO50799
66 years, female, NA, stage:2, alive, 540 days
985.3
DO45096
69 years, male, NA, stage:2, dead, 1290 days
983.8
DO23541
65 years, male, NA, stage:2, alive, 930 days
983.7
DO45117
73 years, female, NA, stage:2, dead, 1110 days
982.4
DO50807
67 years, male, NA, stage:1, alive, 540 days
968.3
DO50774
68 years, female, NA, stage:2, alive, 720 days
965.7
DO45137
38 years, male, NA, stage:1, alive, 1320 days
955.3
DO45231
84 years, male, NA, stage:2, alive, 930 days
954.0
DO48725
66 years, male, NA, stage:1, alive, 780 days
951.5
DO45135
77 years, male, NA, stage:1, alive, 1410 days
951.3
DO48733
72 years, male, NA, stage:2, alive, 600 days
949.8
DO45177
81 years, female, NA, stage:3, alive, 1260 days
948.3
DO45169
74 years, male, NA, stage:3, alive, 1350 days
931.4
DO23518
67 years, male, NA, stage:2, alive, 1320 days
931.3
DO45163
76 years, male, NA, stage:2, alive, 960 days
926.2
DO50825
70 years, male, NA, stage:2, alive, 390 days
889.7
DO45107
63 years, female, NA, stage:2, alive, 1710 days
880.6
DO45101
63 years, male, NA, stage:2, alive, 1680 days
865.9
DO50818
65 years, male, NA, stage:2, alive, 510 days
865.2
DO48717
54 years, male, NA, stage:4, dead, 180 days
865.0
DO23525
71 years, male, NA, stage:4, alive, 1050 days
862.9
DO23546
63 years, male, NA, stage:2, alive, 1050 days
859.4
DO45133
64 years, male, NA, stage:3, dead, 660 days
856.5
DO50791
79 years, female, NA, stage:1, dead, 480 days
852.4
DO48672
81 years, male, NA, stage:2, alive, 450 days
850.3
DO50805
72 years, male, NA, stage:2, alive, 690 days
837.4
DO45095
66 years, male, NA, stage:2, alive, 1620 days
831.5
DO23510
80 years, female, NA, stage:2, alive, 870 days
820.9
DO48732
73 years, male, NA, stage:3, alive, 630 days
818.7
DO23512
60 years, male, NA, stage:1, alive, 1260 days
813.9
DO45092
62 years, male, NA, stage:4, dead, 1200 days
811.4
DO45233
83 years, male, NA, stage:3, alive, 900 days
809.5
DO48737
52 years, male, NA, stage:1, alive, 720 days
779.9
DO45281
83 years, male, NA, stage:4, alive, 750 days
779.1
DO45091
56 years, male, NA, stage:2, dead, 1320 days
773.9
DO45179
78 years, female, NA, stage:2, alive, 600 days
769.2
DO45265
73 years, male, NA, stage:3, alive, 1020 days
767.7
DO48723
73 years, male, NA, stage:1, alive, 600 days
765.4
DO45229
74 years, male, NA, stage:1, alive, 990 days
765.0
DO48721
58 years, female, NA, stage:1, alive, 900 days
764.4
DO45221
75 years, female, NA, stage:4, dead, 390 days
764.2
DO50859
77 years, male, NA, stage:2, alive, 180 days
761.5
DO23540
73 years, male, NA, stage:1, alive, 750 days
757.4
DO23524
71 years, female, NA, stage:2, alive, 1050 days
748.9
DO23517
62 years, male, NA, stage:2, alive, 1200 days
736.7
DO45277
64 years, male, NA, stage:3, alive, 600 days
735.4
DO50857
72 years, male, NA, stage:2, alive, 210 days
729.6
DO45255
81 years, male, NA, stage:3, alive, 720 days
723.5
DO45263
67 years, male, NA, stage:3, dead, 270 days
723.1
DO23513
76 years, male, NA, stage:3, alive, 1200 days
717.9
DO50850
74 years, male, NA, stage:3, alive, 720 days
716.9
DO45225
69 years, male, NA, stage:1, alive, 1050 days
714.1
DO23533
61 years, male, NA, stage:2, alive, 900 days
706.8
DO45165
75 years, male, NA, stage:2, alive, 690 days
701.1
DO48677
58 years, male, NA, stage:3, alive, 1140 days
675.0
DO50809
56 years, male, NA, stage:3, dead, 720 days
667.6
DO45203
71 years, female, NA, stage:2, alive, 1170 days
667.2
DO45099
46 years, male, NA, stage:3, alive, 1590 days
656.1
DO45153
77 years, female, NA, stage:2, alive, 1380 days
655.3
DO45213
58 years, male, NA, stage:1, alive, 1200 days
651.5
DO48712
50 years, male, NA, stage:2, alive, 810 days
651.4
DO48727
81 years, female, NA, stage:2, dead, 390 days
650.0
DO45113
58 years, male, NA, stage:3, alive, 1560 days
635.9
DO23535
67 years, male, NA, stage:1, alive, 960 days
634.4
DO45239
42 years, male, NA, stage:2, alive, 870 days
628.3
DO48700
78 years, female, NA, stage:2, alive, 810 days
619.0
DO50817
75 years, male, NA, stage:2, alive, 390 days
611.5
DO23534
60 years, male, NA, stage:2, alive, 840 days
603.8
DO45161
74 years, male, NA, stage:2, dead, 540 days
601.3
DO48679
72 years, male, NA, stage:2, alive, 1200 days
593.5
DO45197
51 years, male, NA, stage:2, alive, 1170 days
589.8
DO48759
73 years, male, NA, stage:3, alive, 720 days
573.0
DO45249
57 years, male, NA, stage:1, alive, 630 days
570.8
DO48736
76 years, female, NA, stage:1, alive, 600 days
567.4
DO50793
76 years, male, NA, stage:4, alive, 540 days
564.2
DO48728
74 years, female, NA, stage:2, alive, 150 days
549.4
DO48697
64 years, female, NA, stage:2, dead, 810 days
547.4
DO45103
47 years, male, NA, stage:3, alive, 450 days
541.2
DO23544
67 years, male, NA, stage:2, alive, 960 days
536.0
DO45131
53 years, male, NA, stage:4, dead, 360 days
533.2
DO48761
55 years, male, NA, stage:2, alive, 870 days
529.6
DO23547
74 years, male, NA, stage:1, alive, 1020 days
526.3
DO50806
70 years, male, NA, stage:4, alive, 540 days
519.1
DO45143
69 years, male, NA, stage:3, alive, 1290 days
511.7
DO45105
61 years, male, NA, stage:1, alive, 1680 days
508.9
DO45121
61 years, male, NA, stage:3, alive, 1530 days
505.2
DO50804
81 years, male, NA, stage:2, alive, 720 days
503.2
DO45191
61 years, female, NA, stage:2, alive, 1200 days
503.0
DO45139
63 years, male, NA, stage:3, alive, 1320 days
501.4
DO50783
62 years, male, NA, stage:3, alive, 480 days
481.2
DO48701
78 years, male, NA, stage:2, alive, 780 days
476.0
DO45093
71 years, male, NA, stage:2, dead, 720 days
469.3
DO45155
69 years, male, NA, stage:2, alive, 2160 days
458.5
DO45097
69 years, male, NA, stage:3, alive, 1620 days
450.6
DO45305
66 years, male, NA, stage:4, alive, 300 days
432.6
DO45145
78 years, male, NA, stage:3, dead, 60 days
418.1
DO48757
68 years, female, NA, stage:3, alive, 480 days
411.0
DO48741
64 years, male, NA, stage:3, alive, 240 days
408.9
DO48720
62 years, female, NA, stage:2, alive, 570 days
406.9
DO23529
72 years, male, NA, stage:4, alive, 930 days
405.4
DO50832
73 years, male, NA, stage:3, alive, 90 days
400.2
DO23526
66 years, male, NA, stage:3, alive, 1050 days
389.1
DO45223
67 years, male, NA, stage:4, alive, 1020 days
389.0
DO45219
78 years, male, NA, stage:2, alive, 1080 days
378.7
DO45283
60 years, male, NA, stage:3, alive, 510 days
378.4
DO23545
67 years, male, NA, stage:2, dead, 570 days
376.3
DO45273
62 years, male, NA, stage:2, alive, 480 days
368.8
DO45243
74 years, female, NA, stage:3, alive, 930 days
362.6
DO45125
58 years, male, NA, stage:3, alive, 1680 days
360.4
DO48747
62 years, male, NA, stage:3, alive, 540 days
360.4
DO45149
70 years, female, NA, stage:2, alive, 1260 days
359.6
DO23537
79 years, male, NA, stage:2, dead, 900 days
352.9
DO50778
60 years, male, NA, stage:4, alive, 630 days
351.1
DO50808
68 years, male, NA, stage:2, alive, 570 days
343.7
DO50839
47 years, female, NA, stage:3, alive, 330 days
342.3
DO50829
78 years, male, NA, stage:3, alive, 570 days
334.2
DO45251
57 years, female, NA, stage:2, alive, 900 days
332.0
DO45173
63 years, male, NA, stage:3, alive, 1170 days
328.5
DO50820
77 years, female, NA, stage:3, alive, 510 days
326.5
DO45267
73 years, male, NA, stage:3, dead, 570 days
321.9
DO48706
72 years, male, NA, stage:2, alive, 870 days
310.6
DO48746
76 years, male, NA, stage:3, alive, 570 days
298.0
DO23519
65 years, male, NA, stage:3, alive, 630 days
294.3
DO45307
54 years, female, NA, stage:4, dead, 240 days
293.0
DO48715
58 years, female, NA, stage:2, dead, 690 days
287.7
DO23515
71 years, male, NA, stage:2, alive, 1230 days
283.6
DO23516
69 years, male, NA, stage:3, dead, 20 days
278.2
DO23532
71 years, female, NA, stage:1, alive, 960 days
277.9
DO45193
68 years, female, NA, stage:4, dead, 120 days
276.7
DO45247
31 years, female, NA, stage:2, alive, 210 days
274.9
DO23521
63 years, male, NA, stage:3, alive, 1110 days
272.6
DO50814
83 years, male, NA, stage:3, alive, 420 days
270.1
DO23523
52 years, male, NA, stage:3, alive, 1080 days
253.8
DO50811
62 years, male, NA, stage:1, alive, 450 days
244.3
DO45275
65 years, male, NA, stage:3, dead, 10 days
239.2
DO23528
45 years, female, NA, stage:2, alive, 1020 days
238.4
DO23552
80 years, female, NA, stage:1, alive, 810 days
231.8
DO50855
47 years, male, NA, stage:2, alive, 570 days
230.3
DO48730
73 years, female, NA, stage:2, alive, 630 days
228.7
DO45279
67 years, male, NA, stage:3, alive, 1290 days
228.4
DO45119
74 years, male, NA, stage:3, dead, 510 days
218.9
DO23508
79 years, female, NA, stage:2, alive, 390 days
215.8
DO45269
59 years, male, NA, stage:3, alive, 750 days
213.6
DO45185
89 years, male, NA, stage:2, alive, 600 days
190.8
DO45183
72 years, female, NA, stage:2, dead, 570 days
185.7
DO45205
67 years, female, NA, stage:2, dead, 90 days
178.6
DO48751
68 years, male, NA, stage:2, dead, 480 days
178.1
DO45287
74 years, male, NA, stage:1, alive, 390 days
177.9
DO45211
76 years, male, NA, stage:3, alive, 240 days
173.9
DO45245
75 years, female, NA, stage:2, dead, 240 days
163.7
DO45285
59 years, male, NA, stage:3, alive, 480 days
152.0
DO45187
32 years, female, NA, stage:1, alive, 1260 days
150.0
DO45289
78 years, female, NA, stage:3, alive, 360 days
119.5
DO45301
56 years, male, NA, stage:2, dead, 1440 days
118.8
DO50844
75 years, male, NA, stage:4, alive, 300 days
111.0
DO45217
69 years, female, NA, stage:3, dead, 270 days
109.7
DO45303
62 years, female, NA, stage:3, alive, 990 days
104.4
DO50785
37 years, male, NA, stage:4, dead, 90 days
101.1
DO45127
73 years, male, NA, stage:3, dead, 420 days
88.3
DO50815
62 years, male, NA, stage:3, alive, 150 days
78.9
DO48681
57 years, male, NA, stage:2, alive, 900 days
74.4
DO45259
65 years, male, NA, stage:3, alive, 330 days
74.3
DO45297
61 years, female, NA, stage:4, dead, 1260 days
70.7
DO48682
72 years, female, NA, stage:3, dead, 120 days
53.4
DO45189
85 years, female, NA, stage:2, alive, 1200 days
45.6
DO45209
70 years, male, NA, stage:4, alive, 1350 days
31.0
DO45299
70 years, female, NA, stage:1, alive, 1440 days
13.2
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
635
Tumor
2.0
937
Tumor
1.4
425
Tumor
1.3
745
Tumor
1.0
113
Tumor
1.0
573
Tumor
0.9
823
Tumor
0.8
975
Tumor
0.8
697
Tumor
0.7
135
Tumor
0.7
981
Tumor
0.7
857
Tumor
0.6
713
Tumor
0.6
411
Tumor
0.6
1015
Tumor
0.6
393
Tumor
0.5
195
Tumor
0.5
477
Tumor
0.5
665
Tumor
0.5
538
Normal
0.5
557
Tumor
0.5
525
Tumor
0.5
327
Tumor
0.5
755
Tumor
0.5
1044
Normal
0.4
492
Normal
0.4
217
Tumor
0.4
267
Tumor
0.4
392
Normal
0.4
526
Normal
0.4
545
Tumor
0.4
817
Tumor
0.4
471
Tumor
0.4
218
Normal
0.4
313
Tumor
0.4
421
Tumor
0.4
355
Tumor
0.4
877
Tumor
0.4
112
Tumor
0.4
527
Tumor
0.3
636
Normal
0.3
523
Tumor
0.3
615
Tumor
0.3
187
Tumor
0.3
554
Normal
0.3
498
Normal
0.3
353
Tumor
0.3
515
Tumor
0.3
723
Tumor
0.3
883
Tumor
0.3
1045
Tumor
0.3
455
Tumor
0.3
363
Tumor
0.3
223
Tumor
0.2
785
Tumor
0.2
647
Tumor
0.2
443
Tumor
0.2
448
Normal
0.2
924
Normal
0.2
452
Normal
0.2
563
Tumor
0.2
426
Normal
0.2
944
Normal
0.2
536
Normal
0.2
982
Normal
0.2
192
Normal
0.2
956
Normal
0.2
375
Tumor
0.2
491
Tumor
0.2
433
Tumor
0.2
963
Tumor
0.2
286
Normal
0.2
423
Tumor
0.2
474
Normal
0.2
444
Normal
0.2
568
Normal
0.2
422
Normal
0.2
696
Normal
0.2
461
Tumor
0.2
514
Normal
0.2
224
Normal
0.2
343
Tumor
0.2
816
Normal
0.1
1028
Normal
0.1
141
Tumor
0.1
483
Tumor
0.1
145
Tumor
0.1
813
Tumor
0.1
352
Normal
0.1
147
Tumor
0.1
395
Tumor
0.1
913
Tumor
0.1
1014
Normal
0.1
916
Normal
0.1
383
Tumor
0.1
415
Tumor
0.1
818
Normal
0.1
277
Tumor
0.1
142
Normal
0.1
978
Normal
0.1
396
Normal
0.1
311
Tumor
0.1
394
Normal
0.1
546
Normal
0.1
354
Normal
0.1
1043
Tumor
0.1
618
Normal
0.1
984
Normal
0.1
342
Normal
0.1
746
Normal
0.1
1026
Normal
0.1
467
Tumor
0.1
424
Normal
0.1
368
Normal
0.1
938
Normal
0.1
861
Tumor
0.1
862
Normal
0.1
212
Normal
0.1
196
Normal
0.1
915
Tumor
0.1
686
Normal
0.0
778
Normal
0.0
742
Normal
0.0
387
Tumor
0.0
518
Normal
0.0
866
Normal
0.0
957
Tumor
0.0
384
Normal
0.0
917
Tumor
0.0
261
Tumor
0.0
744
Normal
0.0
262
Normal
0.0
922
Normal
0.0
955
Tumor
0.0
465
Tumor
0.0
528
Normal
0.0
858
Normal
0.0
344
Normal
0.0
874
Normal
0.0
616
Normal
0.0
756
Normal
0.0
191
Tumor
0.0
1022
Normal
0.0
558
Normal
0.0
462
Normal
0.0
361
Tumor
0.0
162
Normal
0.0
376
Normal
0.0
666
Normal
0.0
358
Normal
0.0
332
Normal
0.0
524
Normal
0.0
232
Normal
0.0
1016
Normal
0.0
574
Normal
0.0
564
Normal
0.0
472
Normal
0.0
446
Normal
0.0
714
Normal
0.0
414
Normal
0.0
958
Normal
0.0
553
Tumor
0.0
111
Normal
0.0
487
Tumor
0.0
284
Normal
0.0
516
Normal
0.0
952
Normal
0.0
494
Normal
0.0
447
Tumor
0.0
451
Tumor
0.0
976
Normal
0.0
466
Normal
0.0
124
Normal
0.0
213
Tumor
0.0
721
Tumor
0.0
517
Tumor
0.0
852
Normal
0.0
672
Normal
0.0
222
Normal
-0.1
642
Normal
-0.1
214
Normal
-0.1
824
Normal
-0.1
1025
Tumor
-0.1
884
Normal
-0.1
1042
Normal
-0.1
648
Normal
-0.1
138
Normal
-0.1
1046
Normal
-0.1
728
Normal
-0.1
314
Normal
-0.1
468
Normal
-0.1
185
Tumor
-0.1
427
Tumor
-0.1
478
Normal
-0.1
464
Normal
-0.1
628
Normal
-0.1
428
Normal
-0.1
456
Normal
-0.1
964
Normal
-0.1
786
Normal
-0.1
257
Tumor
-0.1
136
Normal
-0.1
365
Tumor
-0.1
132
Normal
-0.1
482
Normal
-0.1
364
Normal
-0.1
873
Tumor
-0.1
445
Tumor
-0.1
172
Normal
-0.1
484
Normal
-0.1
926
Normal
-0.1
954
Normal
-0.1
114
Normal
-0.1
814
Normal
-0.1
851
Tumor
-0.1
572
Normal
-0.1
137
Tumor
-0.1
268
Normal
-0.1
534
Normal
-0.1
386
Normal
-0.1
148
Normal
-0.1
297
Tumor
-0.1
1021
Tumor
-0.1
227
Tumor
-0.1
968
Normal
-0.1
228
Normal
-0.1
664
Normal
-0.1
864
Normal
-0.1
567
Tumor
-0.1
722
Normal
-0.1
741
Tumor
-0.1
535
Tumor
-0.1
966
Normal
-0.2
617
Tumor
-0.2
716
Normal
-0.2
671
Tumor
-0.2
388
Normal
-0.2
328
Normal
-0.2
727
Tumor
-0.2
881
Tumor
-0.2
662
Normal
-0.2
146
Normal
-0.2
698
Normal
-0.2
186
Normal
-0.2
356
Normal
-0.2
431
Tumor
-0.2
882
Normal
-0.2
914
Normal
-0.2
493
Tumor
-0.2
488
Normal
-0.2
868
Normal
-0.2
738
Normal
-0.2
126
Normal
-0.2
312
Normal
-0.2
436
Normal
-0.2
434
Normal
-0.2
943
Tumor
-0.2
1041
Tumor
-0.2
432
Normal
-0.2
412
Normal
-0.2
977
Tumor
-0.2
863
Tumor
-0.2
188
Normal
-0.2
272
Normal
-0.2
878
Normal
-0.2
513
Tumor
-0.3
867
Tumor
-0.3
918
Normal
-0.3
416
Normal
-0.3
481
Tumor
-0.3
715
Tumor
-0.3
362
Normal
-0.3
777
Tumor
-0.3
128
Normal
-0.3
258
Normal
-0.3
685
Tumor
-0.3
161
Tumor
-0.3
1032
Normal
-0.3
298
Normal
-0.3
912
Normal
-0.3
391
Tumor
-0.3
278
Normal
-0.3
533
Tumor
-0.3
283
Tumor
-0.3
663
Tumor
-0.3
366
Normal
-0.3
127
Tumor
-0.4
737
Tumor
-0.4
911
Tumor
-0.4
367
Tumor
-0.4
627
Tumor
-0.4
923
Tumor
-0.4
271
Tumor
-0.4
925
Tumor
-0.4
865
Tumor
-0.4
537
Tumor
-0.4
385
Tumor
-0.4
341
Tumor
-0.5
331
Tumor
-0.5
131
Tumor
-0.5
571
Tumor
-0.5
695
Tumor
-0.5
921
Tumor
-0.5
724
Normal
-0.5
967
Tumor
-0.5
497
Tumor
-0.5
951
Tumor
-0.5
641
Tumor
-0.6
953
Tumor
-0.6
221
Tumor
-0.6
357
Tumor
-0.6
983
Tumor
-0.6
463
Tumor
-0.7
1027
Tumor
-0.7
1013
Tumor
-0.7
171
Tumor
-0.7
285
Tumor
-0.8
211
Tumor
-0.8
473
Tumor
-0.8
1031
Tumor
-0.8
231
Tumor
-0.8
413
Tumor
-0.8
815
Tumor
-0.9
125
Tumor
-0.9
351
Tumor
-1.0
123
Tumor
-1.1
435
Tumor
-1.1
965
Tumor
-1.2
661
Tumor
-1.4
743
Tumor
-1.5
Show allShow less
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.
The Human Protein Atlas project is funded
