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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.
CFHR1 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
781.2
Number of samples
362
Samples
Sample
Description
TPM
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
3471.8
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
3404.9
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
2706.0
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
2610.5
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
2522.2
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
2458.4
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
2456.9
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
2368.6
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
2367.1
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
2357.1
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
2318.4
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
2272.4
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
2144.0
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
2113.2
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
1997.3
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1969.6
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
1967.0
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1918.9
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
1918.2
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
1907.6
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1896.9
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
1849.7
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1844.2
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1799.7
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
1766.5
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
1741.1
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
1730.3
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1724.7
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
1695.0
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
1692.0
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
1681.5
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1672.1
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1649.8
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
1643.6
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1629.0
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1619.2
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1613.9
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
1607.2
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
1574.4
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1562.2
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1543.5
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
1521.1
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1520.4
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
1517.6
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
1514.9
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
1498.1
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1472.7
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1471.7
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1459.6
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
1443.0
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
1441.5
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1440.1
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
1434.5
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
1429.9
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1424.1
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
1418.0
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
1397.6
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
1397.1
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
1395.7
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
1373.6
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
1354.8
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1353.2
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
1339.3
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1312.3
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1292.9
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1290.7
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
1278.6
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
1277.0
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1239.6
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
1237.5
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
1235.4
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1231.8
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1225.3
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
1217.2
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
1214.5
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1210.9
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1201.5
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1200.0
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1180.2
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
1179.6
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1179.1
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
1155.8
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
1151.0
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1144.0
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1141.2
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1139.9
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1138.6
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
1129.9
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
1125.1
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1122.2
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1121.1
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
1108.1
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
1094.9
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
1084.4
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1084.2
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
1081.4
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1063.1
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
1058.6
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1052.8
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1051.5
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1050.3
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
1049.4
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
1049.2
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
1043.9
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1037.1
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
1029.3
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
1015.7
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
1011.7
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
997.4
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
994.5
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
992.4
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
992.1
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
990.0
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
989.0
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
981.5
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
958.2
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
956.6
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
947.7
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
947.0
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
946.0
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
936.0
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
917.7
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
912.9
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
911.5
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
911.3
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
907.8
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
897.8
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
894.8
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
894.1
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
893.9
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
893.3
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
891.0
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
879.9
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
875.3
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
866.5
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
863.2
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
847.3
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
841.9
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
841.6
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
841.1
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
839.7
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
834.1
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
833.1
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
829.1
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
828.7
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
822.3
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
820.5
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
807.5
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
800.5
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
799.9
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
797.7
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
794.1
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
786.4
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
786.2
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
779.2
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
779.0
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
775.6
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
773.6
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
763.9
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
752.3
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
752.1
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
738.8
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
737.2
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
735.2
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
734.1
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
733.5
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
727.5
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
720.6
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
713.1
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
708.6
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
704.2
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
696.2
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
692.8
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
684.6
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
683.7
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
674.1
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
672.3
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
669.1
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
668.6
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
659.5
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
658.2
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
657.8
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
657.1
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
654.2
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
653.9
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
653.8
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
653.5
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
645.7
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
634.4
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
630.1
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
628.9
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
626.3
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
625.6
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
621.4
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
619.5
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
617.9
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
616.5
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
615.8
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
611.6
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
611.2
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
604.8
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
597.5
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
591.6
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
591.3
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
584.8
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
584.5
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
577.6
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
571.4
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
568.0
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
551.8
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
551.0
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
549.8
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
543.4
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
543.3
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
537.0
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
528.8
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
528.4
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
527.5
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
517.0
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
516.3
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
514.2
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
511.0
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
500.9
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
500.0
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
484.9
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
484.6
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
480.3
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
477.2
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
477.1
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
472.1
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
470.6
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
468.7
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
463.4
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
458.2
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
457.2
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
453.6
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
448.4
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
448.0
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
447.3
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
446.3
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
443.7
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
440.3
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
430.0
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
429.3
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
428.3
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
425.7
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
425.5
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
420.0
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
414.8
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
408.3
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
405.6
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
399.3
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
395.1
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
386.3
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
379.8
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
373.8
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
371.1
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
360.7
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
352.1
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
346.5
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
346.0
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
344.6
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
341.7
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
341.5
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
340.5
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
340.3
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
337.3
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
336.4
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
335.0
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
326.3
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
325.2
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
316.4
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
315.6
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
313.9
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
311.3
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
308.0
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
305.7
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
303.2
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
299.7
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
299.4
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
296.5
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
295.5
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
294.4
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
291.9
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
291.2
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
289.4
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
288.5
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
283.8
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
282.8
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
281.8
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
269.3
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
266.1
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
264.9
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
260.3
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
258.1
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
257.3
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
245.4
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
244.5
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
241.4
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
233.2
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
226.7
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
225.0
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
223.8
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
194.6
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
183.8
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
176.4
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
171.9
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
168.8
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
165.9
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
165.7
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
146.0
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
137.3
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
135.4
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
134.5
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
131.7
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
129.3
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
125.0
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
110.9
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
109.2
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
108.1
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
82.4
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
81.6
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
80.1
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
73.1
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
64.6
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
62.8
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
53.3
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
51.5
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
50.1
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
49.2
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
44.7
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
38.8
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
29.1
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
26.2
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
18.6
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
15.2
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
12.3
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
9.8
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
9.6
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
7.4
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
4.5
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
4.0
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
3.7
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
2.2
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
1.9
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1.7
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1.5
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
1.5
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1.3
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
1.1
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
1.1
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1.0
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1.0
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
0.6
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
0.5
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
0.5
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
0.4
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
0.3
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
0.2
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
0.2
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
0.2
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 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.
CFHR1 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
561.2
Number of samples
231
Samples
Sample
Description
TPM
DO23543
63 years, male, NA, stage:2, alive, 1020 days
1828.4
DO48677
58 years, male, NA, stage:3, alive, 1140 days
1704.3
DO50857
72 years, male, NA, stage:2, alive, 210 days
1649.2
DO48760
70 years, female, NA, stage:2, alive, 690 days
1609.1
DO48736
76 years, female, NA, stage:1, alive, 600 days
1520.1
DO48701
78 years, male, NA, stage:2, alive, 780 days
1478.3
DO50783
62 years, male, NA, stage:3, alive, 480 days
1471.5
DO45199
86 years, female, NA, stage:2, alive, 1350 days
1457.1
DO50822
66 years, male, NA, stage:2, alive, 510 days
1436.8
DO48721
58 years, female, NA, stage:1, alive, 900 days
1428.7
DO50816
63 years, male, NA, stage:2, alive, 390 days
1404.1
DO23518
67 years, male, NA, stage:2, alive, 1320 days
1358.9
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1219.5
DO45103
47 years, male, NA, stage:3, alive, 450 days
1201.4
DO45094
76 years, male, NA, stage:3, alive, 1650 days
1196.0
DO227801
77 years, female, NA, stage:1, alive, 660 days
1191.3
DO48704
68 years, female, NA, stage:3, alive, 750 days
1178.5
DO50817
75 years, male, NA, stage:2, alive, 390 days
1156.9
DO48741
64 years, male, NA, stage:3, alive, 240 days
1156.0
DO23538
67 years, male, NA, stage:2, alive, 450 days
1147.1
DO45203
71 years, female, NA, stage:2, alive, 1170 days
1143.7
DO23527
72 years, male, NA, stage:1, alive, 1050 days
1134.4
DO48716
71 years, male, NA, stage:2, alive, 720 days
1086.7
DO45167
67 years, male, NA, stage:2, dead, 1440 days
1083.2
DO23548
78 years, female, NA, stage:1, alive, 840 days
1072.4
DO45121
61 years, male, NA, stage:3, alive, 1530 days
1072.3
DO45237
58 years, male, NA, stage:2, alive, 900 days
1068.5
DO23512
60 years, male, NA, stage:1, alive, 1260 days
1049.3
DO50776
75 years, male, NA, stage:1, alive, 690 days
1048.5
DO45207
68 years, male, NA, stage:1, alive, 1050 days
1039.1
DO50840
49 years, male, NA, stage:2, alive, 330 days
1020.6
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1014.0
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1010.9
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1003.7
DO23528
45 years, female, NA, stage:2, alive, 1020 days
1000.9
DO45229
74 years, male, NA, stage:1, alive, 990 days
974.3
DO45213
58 years, male, NA, stage:1, alive, 1200 days
967.9
DO50844
75 years, male, NA, stage:4, alive, 300 days
952.3
DO45123
78 years, female, NA, stage:2, dead, 570 days
946.7
DO23550
69 years, male, NA, stage:1, alive, 990 days
931.3
DO45159
65 years, male, NA, stage:3, alive, 1470 days
910.5
DO48733
72 years, male, NA, stage:2, alive, 600 days
909.0
DO23539
77 years, male, NA, stage:1, alive, 1110 days
903.7
DO45125
58 years, male, NA, stage:3, alive, 1680 days
898.1
DO48759
73 years, male, NA, stage:3, alive, 720 days
891.4
DO45179
78 years, female, NA, stage:2, alive, 600 days
865.0
DO227643
79 years, male, NA, stage:2, alive, 1260 days
864.1
DO45096
69 years, male, NA, stage:2, dead, 1290 days
863.9
DO48706
72 years, male, NA, stage:2, alive, 870 days
856.6
DO23551
73 years, male, NA, stage:3, dead, 150 days
848.3
DO48693
71 years, male, NA, stage:2, alive, 900 days
847.9
DO45133
64 years, male, NA, stage:3, dead, 660 days
824.4
DO45129
61 years, male, NA, stage:3, alive, 1470 days
820.4
DO48737
52 years, male, NA, stage:1, alive, 720 days
816.4
DO48700
78 years, female, NA, stage:2, alive, 810 days
788.2
DO50845
72 years, male, NA, stage:3, alive, 210 days
786.1
DO48717
54 years, male, NA, stage:4, dead, 180 days
783.9
DO23536
56 years, male, NA, stage:2, alive, 930 days
779.6
DO23513
76 years, male, NA, stage:3, alive, 1200 days
778.2
DO45107
63 years, female, NA, stage:2, alive, 1710 days
776.9
DO45171
56 years, male, NA, stage:3, alive, 600 days
774.1
DO50805
72 years, male, NA, stage:2, alive, 690 days
763.3
DO50798
77 years, male, NA, stage:3, dead, 30 days
763.1
DO23514
64 years, male, NA, stage:2, alive, 1290 days
752.4
DO50850
74 years, male, NA, stage:3, alive, 720 days
750.4
DO45091
56 years, male, NA, stage:2, dead, 1320 days
749.9
DO45163
76 years, male, NA, stage:2, alive, 960 days
746.1
DO50807
67 years, male, NA, stage:1, alive, 540 days
742.5
DO45257
46 years, male, NA, stage:3, alive, 810 days
741.6
DO45239
42 years, male, NA, stage:2, alive, 870 days
735.0
DO45165
75 years, male, NA, stage:2, alive, 690 days
732.3
DO50820
77 years, female, NA, stage:3, alive, 510 days
727.4
DO48674
80 years, male, NA, stage:2, alive, 1260 days
719.3
DO45201
49 years, male, NA, stage:1, alive, 900 days
718.9
DO45092
62 years, male, NA, stage:4, dead, 1200 days
710.7
DO50818
65 years, male, NA, stage:2, alive, 510 days
702.7
DO50774
68 years, female, NA, stage:2, alive, 720 days
700.7
DO23516
69 years, male, NA, stage:3, dead, 20 days
695.7
DO23544
67 years, male, NA, stage:2, alive, 960 days
690.7
DO50803
62 years, female, NA, stage:1, alive, 540 days
689.9
DO45117
73 years, female, NA, stage:2, dead, 1110 days
689.0
DO23541
65 years, male, NA, stage:2, alive, 930 days
684.8
DO45111
74 years, male, NA, stage:2, alive, 1590 days
682.9
DO45195
62 years, male, NA, stage:1, alive, 390 days
679.8
DO48679
72 years, male, NA, stage:2, alive, 1200 days
677.9
DO48695
77 years, male, NA, stage:2, alive, 720 days
673.5
DO23531
78 years, female, NA, stage:3, alive, 900 days
669.3
DO50806
70 years, male, NA, stage:4, alive, 540 days
669.2
DO45261
74 years, male, NA, stage:3, alive, 990 days
655.5
DO23511
83 years, female, NA, stage:3, dead, 180 days
653.3
DO48672
81 years, male, NA, stage:2, alive, 450 days
652.1
DO23534
60 years, male, NA, stage:2, alive, 840 days
648.2
DO23533
61 years, male, NA, stage:2, alive, 900 days
641.1
DO48746
76 years, male, NA, stage:3, alive, 570 days
636.5
DO45153
77 years, female, NA, stage:2, alive, 1380 days
632.6
DO48743
69 years, female, NA, stage:2, alive, 570 days
628.8
DO45175
74 years, male, NA, stage:2, alive, 1140 days
614.9
DO23545
67 years, male, NA, stage:2, dead, 570 days
613.0
DO50814
83 years, male, NA, stage:3, alive, 420 days
610.7
DO48725
66 years, male, NA, stage:1, alive, 780 days
608.7
DO45157
62 years, male, NA, stage:2, alive, 1980 days
608.0
DO50839
47 years, female, NA, stage:3, alive, 330 days
602.8
DO45137
38 years, male, NA, stage:1, alive, 1320 days
600.8
DO45273
62 years, male, NA, stage:2, alive, 480 days
590.7
DO23525
71 years, male, NA, stage:4, alive, 1050 days
586.1
DO50808
68 years, male, NA, stage:2, alive, 570 days
582.7
DO50793
76 years, male, NA, stage:4, alive, 540 days
577.8
DO45183
72 years, female, NA, stage:2, dead, 570 days
577.4
DO48682
72 years, female, NA, stage:3, dead, 120 days
577.0
DO23510
80 years, female, NA, stage:2, alive, 870 days
572.2
DO45109
63 years, male, NA, stage:2, alive, 1590 days
571.6
DO48751
68 years, male, NA, stage:2, dead, 480 days
563.3
DO45197
51 years, male, NA, stage:2, alive, 1170 days
556.3
DO45169
74 years, male, NA, stage:3, alive, 1350 days
552.9
DO50787
63 years, male, NA, stage:3, alive, 480 days
552.4
DO48757
68 years, female, NA, stage:3, alive, 480 days
546.2
DO45135
77 years, male, NA, stage:1, alive, 1410 days
545.1
DO23517
62 years, male, NA, stage:2, alive, 1200 days
542.0
DO45227
57 years, female, NA, stage:2, alive, 1020 days
541.3
DO45223
67 years, male, NA, stage:4, alive, 1020 days
538.4
DO23546
63 years, male, NA, stage:2, alive, 1050 days
534.7
DO45215
65 years, male, NA, stage:2, alive, 1170 days
534.3
DO50811
62 years, male, NA, stage:1, alive, 450 days
518.2
DO50859
77 years, male, NA, stage:2, alive, 180 days
512.4
DO48723
73 years, male, NA, stage:1, alive, 600 days
491.9
DO50800
74 years, male, NA, stage:2, alive, 510 days
489.1
DO45231
84 years, male, NA, stage:2, alive, 930 days
482.6
DO50809
56 years, male, NA, stage:3, dead, 720 days
482.2
DO50832
73 years, male, NA, stage:3, alive, 90 days
469.6
DO45143
69 years, male, NA, stage:3, alive, 1290 days
466.3
DO23508
79 years, female, NA, stage:2, alive, 390 days
450.0
DO45181
84 years, female, NA, stage:2, alive, 1200 days
448.7
DO45265
73 years, male, NA, stage:3, alive, 1020 days
448.7
DO45149
70 years, female, NA, stage:2, alive, 1260 days
447.0
DO50799
66 years, female, NA, stage:2, alive, 540 days
442.7
DO48742
76 years, male, NA, stage:2, alive, 600 days
441.0
DO48712
50 years, male, NA, stage:2, alive, 810 days
439.2
DO45131
53 years, male, NA, stage:4, dead, 360 days
438.1
DO23549
74 years, male, NA, stage:3, alive, 990 days
427.8
DO23552
80 years, female, NA, stage:1, alive, 810 days
426.2
DO50791
79 years, female, NA, stage:1, dead, 480 days
424.5
DO45105
61 years, male, NA, stage:1, alive, 1680 days
423.9
DO45115
81 years, male, NA, stage:2, alive, 840 days
423.7
DO45233
83 years, male, NA, stage:3, alive, 900 days
410.5
DO45221
75 years, female, NA, stage:4, dead, 390 days
404.2
DO48761
55 years, male, NA, stage:2, alive, 870 days
385.8
DO45243
74 years, female, NA, stage:3, alive, 930 days
381.0
DO48715
58 years, female, NA, stage:2, dead, 690 days
368.7
DO45191
61 years, female, NA, stage:2, alive, 1200 days
366.8
DO45219
78 years, male, NA, stage:2, alive, 1080 days
356.9
DO45097
69 years, male, NA, stage:3, alive, 1620 days
356.4
DO45113
58 years, male, NA, stage:3, alive, 1560 days
356.1
DO45099
46 years, male, NA, stage:3, alive, 1590 days
355.8
DO23524
71 years, female, NA, stage:2, alive, 1050 days
351.3
DO50789
73 years, female, NA, stage:2, alive, 570 days
349.5
DO23542
66 years, male, NA, stage:3, alive, 960 days
349.1
DO23535
67 years, male, NA, stage:1, alive, 960 days
347.9
DO45255
81 years, male, NA, stage:3, alive, 720 days
346.9
DO45155
69 years, male, NA, stage:2, alive, 2160 days
346.9
DO23532
71 years, female, NA, stage:1, alive, 960 days
343.4
DO23529
72 years, male, NA, stage:4, alive, 930 days
341.3
DO45101
63 years, male, NA, stage:2, alive, 1680 days
327.2
DO45247
31 years, female, NA, stage:2, alive, 210 days
324.6
DO50819
72 years, female, NA, stage:2, alive, 510 days
319.5
DO50802
49 years, male, NA, stage:2, alive, 930 days
317.6
DO50855
47 years, male, NA, stage:2, alive, 570 days
299.1
DO50804
81 years, male, NA, stage:2, alive, 720 days
285.2
DO23540
73 years, male, NA, stage:1, alive, 750 days
283.3
DO50813
56 years, male, NA, stage:2, alive, 420 days
279.5
DO45187
32 years, female, NA, stage:1, alive, 1260 days
253.9
DO45235
68 years, female, NA, stage:1, alive, 900 days
250.6
DO45173
63 years, male, NA, stage:3, alive, 1170 days
249.6
DO48727
81 years, female, NA, stage:2, dead, 390 days
238.0
DO23519
65 years, male, NA, stage:3, alive, 630 days
233.1
DO23547
74 years, male, NA, stage:1, alive, 1020 days
232.0
DO45253
50 years, male, NA, stage:2, alive, 870 days
228.0
DO48728
74 years, female, NA, stage:2, alive, 150 days
225.1
DO45139
63 years, male, NA, stage:3, alive, 1320 days
223.7
DO45161
74 years, male, NA, stage:2, dead, 540 days
215.9
DO48719
80 years, male, NA, stage:2, alive, 690 days
210.9
DO23526
66 years, male, NA, stage:3, alive, 1050 days
201.8
DO45119
74 years, male, NA, stage:3, dead, 510 days
200.5
DO23509
60 years, male, NA, stage:3, dead, 780 days
198.5
DO50778
60 years, male, NA, stage:4, alive, 630 days
187.3
DO23515
71 years, male, NA, stage:2, alive, 1230 days
184.1
DO45269
59 years, male, NA, stage:3, alive, 750 days
173.1
DO50825
70 years, male, NA, stage:2, alive, 390 days
167.5
DO45225
69 years, male, NA, stage:1, alive, 1050 days
151.5
DO45281
83 years, male, NA, stage:4, alive, 750 days
150.1
DO45193
68 years, female, NA, stage:4, dead, 120 days
145.0
DO48720
62 years, female, NA, stage:2, alive, 570 days
140.5
DO23530
53 years, male, NA, stage:4, dead, 180 days
140.5
DO23521
63 years, male, NA, stage:3, alive, 1110 days
128.6
DO50785
37 years, male, NA, stage:4, dead, 90 days
95.6
DO48730
73 years, female, NA, stage:2, alive, 630 days
91.5
DO45217
69 years, female, NA, stage:3, dead, 270 days
91.5
DO48697
64 years, female, NA, stage:2, dead, 810 days
81.1
DO45251
57 years, female, NA, stage:2, alive, 900 days
73.9
DO48681
57 years, male, NA, stage:2, alive, 900 days
57.6
DO45267
73 years, male, NA, stage:3, dead, 570 days
56.0
DO45205
67 years, female, NA, stage:2, dead, 90 days
55.6
DO48747
62 years, male, NA, stage:3, alive, 540 days
54.6
DO48732
73 years, male, NA, stage:3, alive, 630 days
40.9
DO50829
78 years, male, NA, stage:3, alive, 570 days
40.5
DO45185
89 years, male, NA, stage:2, alive, 600 days
36.9
DO45275
65 years, male, NA, stage:3, dead, 10 days
32.7
DO45093
71 years, male, NA, stage:2, dead, 720 days
32.1
DO23537
79 years, male, NA, stage:2, dead, 900 days
27.9
DO45249
57 years, male, NA, stage:1, alive, 630 days
27.4
DO50815
62 years, male, NA, stage:3, alive, 150 days
27.0
DO45259
65 years, male, NA, stage:3, alive, 330 days
23.0
DO45301
56 years, male, NA, stage:2, dead, 1440 days
20.5
DO45209
70 years, male, NA, stage:4, alive, 1350 days
19.5
DO45283
60 years, male, NA, stage:3, alive, 510 days
16.0
DO45277
64 years, male, NA, stage:3, alive, 600 days
13.1
DO45145
78 years, male, NA, stage:3, dead, 60 days
8.7
DO45305
66 years, male, NA, stage:4, alive, 300 days
8.4
DO45287
74 years, male, NA, stage:1, alive, 390 days
5.2
DO45211
76 years, male, NA, stage:3, alive, 240 days
4.7
DO45189
85 years, female, NA, stage:2, alive, 1200 days
2.5
DO45127
73 years, male, NA, stage:3, dead, 420 days
2.1
DO45245
75 years, female, NA, stage:2, dead, 240 days
1.5
DO45263
67 years, male, NA, stage:3, dead, 270 days
1.5
DO23523
52 years, male, NA, stage:3, alive, 1080 days
1.2
DO45279
67 years, male, NA, stage:3, alive, 1290 days
1.1
DO45285
59 years, male, NA, stage:3, alive, 480 days
0.9
DO45303
62 years, female, NA, stage:3, alive, 990 days
0.4
DO45289
78 years, female, NA, stage:3, alive, 360 days
0.4
DO45299
70 years, female, NA, stage:1, alive, 1440 days
0.3
DO45297
61 years, female, NA, stage:4, dead, 1260 days
0.3
DO45307
54 years, female, NA, stage:4, dead, 240 days
0.2
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
425
Tumor
2.0
823
Tumor
1.9
343
Tumor
1.6
527
Tumor
1.3
865
Tumor
1.2
277
Tumor
1.1
877
Tumor
1.0
355
Tumor
1.0
975
Tumor
1.0
977
Tumor
1.0
471
Tumor
0.9
515
Tumor
0.8
192
Normal
0.7
223
Tumor
0.7
455
Tumor
0.7
697
Tumor
0.7
635
Tumor
0.7
863
Tumor
0.6
147
Tumor
0.6
883
Tumor
0.6
881
Tumor
0.6
857
Tumor
0.6
1025
Tumor
0.6
1041
Tumor
0.6
573
Tumor
0.6
135
Tumor
0.6
443
Tumor
0.6
817
Tumor
0.6
777
Tumor
0.6
375
Tumor
0.6
517
Tumor
0.5
141
Tumor
0.5
937
Tumor
0.5
461
Tumor
0.5
744
Normal
0.5
963
Tumor
0.5
647
Tumor
0.4
483
Tumor
0.4
557
Tumor
0.4
525
Tumor
0.4
915
Tumor
0.4
516
Normal
0.3
813
Tumor
0.3
131
Tumor
0.3
921
Tumor
0.3
392
Normal
0.3
755
Tumor
0.3
431
Tumor
0.3
185
Tumor
0.3
957
Tumor
0.3
124
Normal
0.3
445
Tumor
0.3
492
Normal
0.2
922
Normal
0.2
745
Tumor
0.2
545
Tumor
0.2
878
Normal
0.2
981
Tumor
0.2
395
Tumor
0.2
487
Tumor
0.2
112
Tumor
0.2
538
Normal
0.2
943
Tumor
0.2
1015
Tumor
0.1
741
Tumor
0.1
491
Tumor
0.1
938
Normal
0.1
421
Tumor
0.1
716
Normal
0.1
536
Normal
0.1
221
Tumor
0.1
816
Normal
0.1
474
Normal
0.1
785
Tumor
0.0
737
Tumor
0.0
574
Normal
0.0
696
Normal
0.0
227
Tumor
0.0
412
Normal
0.0
342
Normal
0.0
951
Tumor
0.0
257
Tumor
0.0
778
Normal
0.0
452
Normal
0.0
444
Normal
0.0
862
Normal
0.0
1045
Tumor
0.0
484
Normal
0.0
746
Normal
0.0
742
Normal
0.0
111
Normal
0.0
393
Tumor
-0.1
952
Normal
-0.1
953
Tumor
-0.1
497
Tumor
-0.1
695
Tumor
-0.1
911
Tumor
-0.1
914
Normal
-0.1
861
Tumor
-0.1
142
Normal
-0.1
1021
Tumor
-0.1
267
Tumor
-0.1
186
Normal
-0.1
344
Normal
-0.1
866
Normal
-0.1
1026
Normal
-0.1
415
Tumor
-0.1
494
Normal
-0.1
526
Normal
-0.1
434
Normal
-0.2
563
Tumor
-0.2
814
Normal
-0.2
272
Normal
-0.2
955
Tumor
-0.2
394
Normal
-0.2
698
Normal
-0.2
913
Tumor
-0.2
268
Normal
-0.2
523
Tumor
-0.2
924
Normal
-0.2
433
Tumor
-0.2
546
Normal
-0.2
923
Tumor
-0.2
917
Tumor
-0.2
727
Tumor
-0.2
518
Normal
-0.2
396
Normal
-0.2
671
Tumor
-0.2
171
Tumor
-0.2
956
Normal
-0.2
137
Tumor
-0.2
715
Tumor
-0.2
114
Normal
-0.2
662
Normal
-0.2
313
Tumor
-0.2
976
Normal
-0.2
426
Normal
-0.2
352
Normal
-0.2
685
Tumor
-0.2
488
Normal
-0.2
448
Normal
-0.3
663
Tumor
-0.3
874
Normal
-0.3
217
Tumor
-0.3
918
Normal
-0.3
368
Normal
-0.3
738
Normal
-0.3
493
Tumor
-0.3
365
Tumor
-0.3
278
Normal
-0.3
297
Tumor
-0.3
214
Normal
-0.3
213
Tumor
-0.3
195
Tumor
-0.3
1043
Tumor
-0.3
123
Tumor
-0.3
145
Tumor
-0.3
366
Normal
-0.3
436
Normal
-0.3
113
Tumor
-0.3
1031
Tumor
-0.3
224
Normal
-0.3
138
Normal
-0.3
218
Normal
-0.3
473
Tumor
-0.3
383
Tumor
-0.3
1028
Normal
-0.3
391
Tumor
-0.3
422
Normal
-0.3
558
Normal
-0.3
423
Tumor
-0.3
363
Tumor
-0.3
713
Tumor
-0.3
146
Normal
-0.4
427
Tumor
-0.4
191
Tumor
-0.4
882
Normal
-0.4
568
Normal
-0.4
618
Normal
-0.4
615
Tumor
-0.4
554
Normal
-0.4
411
Tumor
-0.4
867
Tumor
-0.4
341
Tumor
-0.4
966
Normal
-0.4
468
Normal
-0.4
1044
Normal
-0.4
451
Tumor
-0.4
533
Tumor
-0.4
686
Normal
-0.4
187
Tumor
-0.4
196
Normal
-0.4
388
Normal
-0.4
572
Normal
-0.4
721
Tumor
-0.4
283
Tumor
-0.4
864
Normal
-0.4
314
Normal
-0.4
535
Tumor
-0.4
361
Tumor
-0.4
136
Normal
-0.4
376
Normal
-0.4
477
Tumor
-0.4
466
Normal
-0.4
564
Normal
-0.4
271
Tumor
-0.4
567
Tumor
-0.5
873
Tumor
-0.5
916
Normal
-0.5
462
Normal
-0.5
432
Normal
-0.5
884
Normal
-0.5
498
Normal
-0.5
222
Normal
-0.5
982
Normal
-0.5
1042
Normal
-0.5
232
Normal
-0.5
858
Normal
-0.5
642
Normal
-0.5
553
Tumor
-0.5
571
Tumor
-0.5
456
Normal
-0.5
958
Normal
-0.5
472
Normal
-0.5
285
Tumor
-0.5
1016
Normal
-0.5
327
Tumor
-0.5
824
Normal
-0.5
636
Normal
-0.5
125
Tumor
-0.5
728
Normal
-0.5
447
Tumor
-0.5
756
Normal
-0.5
128
Normal
-0.5
172
Normal
-0.6
481
Tumor
-0.6
384
Normal
-0.6
132
Normal
-0.6
162
Normal
-0.6
228
Normal
-0.6
852
Normal
-0.6
311
Tumor
-0.6
815
Tumor
-0.6
188
Normal
-0.6
428
Normal
-0.6
482
Normal
-0.6
148
Normal
-0.6
386
Normal
-0.6
534
Normal
-0.6
465
Tumor
-0.6
312
Normal
-0.6
467
Tumor
-0.6
954
Normal
-0.6
944
Normal
-0.7
414
Normal
-0.7
1013
Tumor
-0.7
286
Normal
-0.7
261
Tumor
-0.7
528
Normal
-0.7
851
Tumor
-0.7
1022
Normal
-0.7
513
Tumor
-0.7
786
Normal
-0.7
965
Tumor
-0.7
524
Normal
-0.7
925
Tumor
-0.7
298
Normal
-0.7
435
Tumor
-0.7
258
Normal
-0.7
362
Normal
-0.7
964
Normal
-0.7
514
Normal
-0.7
416
Normal
-0.7
665
Tumor
-0.7
926
Normal
-0.7
353
Tumor
-0.7
284
Normal
-0.7
1032
Normal
-0.7
387
Tumor
-0.7
356
Normal
-0.8
818
Normal
-0.8
424
Normal
-0.8
364
Normal
-0.8
912
Normal
-0.8
328
Normal
-0.8
446
Normal
-0.8
672
Normal
-0.8
161
Tumor
-0.8
868
Normal
-0.8
722
Normal
-0.8
332
Normal
-0.8
1027
Tumor
-0.8
968
Normal
-0.9
1046
Normal
-0.9
367
Tumor
-0.9
212
Normal
-0.9
1014
Normal
-0.9
354
Normal
-0.9
262
Normal
-0.9
628
Normal
-0.9
967
Tumor
-0.9
983
Tumor
-0.9
724
Normal
-0.9
641
Tumor
-0.9
351
Tumor
-0.9
984
Normal
-1.0
714
Normal
-1.0
478
Normal
-1.0
627
Tumor
-1.0
723
Tumor
-1.0
664
Normal
-1.0
978
Normal
-1.0
617
Tumor
-1.0
537
Tumor
-1.0
413
Tumor
-1.1
126
Normal
-1.1
743
Tumor
-1.1
331
Tumor
-1.1
616
Normal
-1.1
231
Tumor
-1.2
211
Tumor
-1.2
358
Normal
-1.2
666
Normal
-1.2
385
Tumor
-1.3
648
Normal
-1.3
463
Tumor
-1.3
127
Tumor
-1.3
357
Tumor
-1.4
464
Normal
-1.4
661
Tumor
-1.9
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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.