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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.
CFHR2 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.
: 1.63
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.00093
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.
69%
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.
39%
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
520.0
Number of samples
362
Samples
Sample
Description
TPM
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1969.7
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
1947.8
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1748.1
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1701.0
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
1657.3
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1586.7
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1566.3
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
1557.6
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1554.5
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
1553.0
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1503.3
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1414.5
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1370.5
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1334.7
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
1322.3
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1254.9
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
1248.7
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
1224.8
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
1171.7
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1164.4
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1162.1
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
1125.8
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
1116.3
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1108.4
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
1087.0
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1081.9
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
1063.7
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1061.2
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1059.3
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
1056.8
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
1055.3
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
1049.3
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
1043.9
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1035.0
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1014.7
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1011.5
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
989.1
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
983.9
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
970.2
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
970.0
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
968.4
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
964.4
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
958.5
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
951.1
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
950.2
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
947.3
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
940.4
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
940.4
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
920.9
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
919.4
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
912.7
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
905.4
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
898.6
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
894.8
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
891.4
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
885.0
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
884.4
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
883.3
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
872.4
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
869.5
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
855.4
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
851.9
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
835.8
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
824.4
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
823.6
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
817.6
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
814.2
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
814.0
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
808.6
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
806.4
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
800.6
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
794.8
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
794.7
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
793.7
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
793.6
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
781.4
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
776.0
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
774.1
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
745.9
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
743.5
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
741.5
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
737.0
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
736.9
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
735.7
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
733.2
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
732.0
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
728.6
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
726.3
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
722.7
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
719.6
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
719.5
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
717.1
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
713.0
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
711.8
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
707.3
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
702.2
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
701.1
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
699.6
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
698.0
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
696.6
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
696.1
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
694.4
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
693.3
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
692.0
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
690.6
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
688.1
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
676.8
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
671.7
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
670.1
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
667.6
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
665.5
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
665.3
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
665.0
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
660.5
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
657.2
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
656.1
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
654.3
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
654.1
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
653.5
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
647.0
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
643.7
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
643.0
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
640.1
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
636.0
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
633.7
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
627.4
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
625.4
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
621.9
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
614.5
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
613.2
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
612.3
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
609.7
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
608.3
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
606.6
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
605.7
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
603.2
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
600.8
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
597.7
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
595.4
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
592.5
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
587.0
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
573.3
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
572.8
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
569.9
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
565.8
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
565.3
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
562.5
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
558.8
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
557.6
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
552.6
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
550.5
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
548.7
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
547.7
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
542.7
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
539.8
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
537.4
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
536.9
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
535.2
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
530.4
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
528.7
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
526.6
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
524.4
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
523.4
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
522.6
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
522.2
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
515.9
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
512.5
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
508.9
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
506.7
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
500.5
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
500.1
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
487.1
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
485.1
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
482.8
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
472.3
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
471.2
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
467.8
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
466.7
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
463.6
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
462.5
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
461.1
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
459.4
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
455.2
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
453.2
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
453.1
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
451.3
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
438.3
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
437.2
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
435.9
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
432.0
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
431.1
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
428.2
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
426.2
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
425.2
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
424.1
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
422.5
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
422.3
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
418.8
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
416.3
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
415.5
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
411.6
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
410.6
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
405.0
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
402.2
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
401.8
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
400.8
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
400.1
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
395.8
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
387.6
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
384.9
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
384.4
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
384.2
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
384.0
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
381.3
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
380.7
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
380.2
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
375.4
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
374.5
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
374.0
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
373.7
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
373.1
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
372.6
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
371.9
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
370.3
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
365.5
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
364.4
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
358.1
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
357.5
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
355.8
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
353.0
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
352.5
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
351.1
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
347.2
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
346.3
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
344.3
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
340.5
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
340.0
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
339.2
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
338.4
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
337.9
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
337.2
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
334.3
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
331.5
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
327.4
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
323.2
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
305.0
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
299.3
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
296.2
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
296.1
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
294.4
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
292.1
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
291.9
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
291.1
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
283.6
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
282.8
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
275.4
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
269.0
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
265.6
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
257.2
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
254.7
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
253.9
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
251.0
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
245.6
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
242.5
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
241.0
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
238.4
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
233.6
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
232.7
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
232.5
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
231.7
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
230.1
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
227.2
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
214.9
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
214.0
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
212.7
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
212.0
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
210.5
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
208.5
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
206.4
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
205.1
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
204.1
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
203.9
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
203.6
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
202.1
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
199.8
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
198.6
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
198.5
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
196.3
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
195.3
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
193.8
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
187.4
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
184.7
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
184.2
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
181.5
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
175.6
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
170.2
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
167.3
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
165.4
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
163.4
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
160.2
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
158.0
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
153.7
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
153.6
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
152.7
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
148.8
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
147.3
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
143.5
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
139.5
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
138.1
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
129.4
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
124.0
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
123.7
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
123.1
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
117.1
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
114.9
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
110.9
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
110.6
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
104.7
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
104.2
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
101.0
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
97.9
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
94.6
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
90.1
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
88.2
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
88.2
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
87.9
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
82.0
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
81.9
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
80.4
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
70.8
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
64.2
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
61.8
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
52.9
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
51.8
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
49.2
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
45.0
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
44.7
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
41.0
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
32.2
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
30.8
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
19.0
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
16.3
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
15.0
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
13.8
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
12.2
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
12.1
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
10.3
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
9.9
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
9.7
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
6.3
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
3.0
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
2.4
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1.8
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
0.7
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
0.7
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
0.7
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
0.5
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
0.5
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
0.4
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
0.3
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
0.3
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.
CFHR2 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.
: 2.14
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.00022
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.
72%
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.
0%
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
433.6
Number of samples
231
Samples
Sample
Description
TPM
DO50783
62 years, male, NA, stage:3, alive, 480 days
1432.0
DO23512
60 years, male, NA, stage:1, alive, 1260 days
1415.5
DO48746
76 years, male, NA, stage:3, alive, 570 days
1363.3
DO23543
63 years, male, NA, stage:2, alive, 1020 days
1325.8
DO48721
58 years, female, NA, stage:1, alive, 900 days
1294.2
DO48677
58 years, male, NA, stage:3, alive, 1140 days
1070.5
DO50816
63 years, male, NA, stage:2, alive, 390 days
1044.2
DO48704
68 years, female, NA, stage:3, alive, 750 days
1037.6
DO45099
46 years, male, NA, stage:3, alive, 1590 days
1024.9
DO23518
67 years, male, NA, stage:2, alive, 1320 days
999.6
DO45094
76 years, male, NA, stage:3, alive, 1650 days
984.1
DO50822
66 years, male, NA, stage:2, alive, 510 days
977.4
DO48736
76 years, female, NA, stage:1, alive, 600 days
937.4
DO48725
66 years, male, NA, stage:1, alive, 780 days
934.7
DO45129
61 years, male, NA, stage:3, alive, 1470 days
913.6
DO23527
72 years, male, NA, stage:1, alive, 1050 days
893.5
DO48759
73 years, male, NA, stage:3, alive, 720 days
889.9
DO48701
78 years, male, NA, stage:2, alive, 780 days
886.8
DO45207
68 years, male, NA, stage:1, alive, 1050 days
886.4
DO45237
58 years, male, NA, stage:2, alive, 900 days
880.6
DO227801
77 years, female, NA, stage:1, alive, 660 days
876.2
DO45103
47 years, male, NA, stage:3, alive, 450 days
873.7
DO48760
70 years, female, NA, stage:2, alive, 690 days
833.6
DO50814
83 years, male, NA, stage:3, alive, 420 days
828.3
DO48741
64 years, male, NA, stage:3, alive, 240 days
812.8
DO45201
49 years, male, NA, stage:1, alive, 900 days
808.5
DO45141
73 years, male, NA, stage:2, alive, 1320 days
804.5
DO50857
72 years, male, NA, stage:2, alive, 210 days
804.4
DO50776
75 years, male, NA, stage:1, alive, 690 days
802.7
DO23536
56 years, male, NA, stage:2, alive, 930 days
798.8
DO45095
66 years, male, NA, stage:2, alive, 1620 days
797.4
DO23514
64 years, male, NA, stage:2, alive, 1290 days
784.4
DO48700
78 years, female, NA, stage:2, alive, 810 days
777.9
DO45203
71 years, female, NA, stage:2, alive, 1170 days
774.6
DO45107
63 years, female, NA, stage:2, alive, 1710 days
747.0
DO45163
76 years, male, NA, stage:2, alive, 960 days
741.2
DO45179
78 years, female, NA, stage:2, alive, 600 days
734.6
DO45121
61 years, male, NA, stage:3, alive, 1530 days
733.4
DO45125
58 years, male, NA, stage:3, alive, 1680 days
728.1
DO45257
46 years, male, NA, stage:3, alive, 810 days
727.4
DO45213
58 years, male, NA, stage:1, alive, 1200 days
720.2
DO23539
77 years, male, NA, stage:1, alive, 1110 days
706.1
DO23538
67 years, male, NA, stage:2, alive, 450 days
706.0
DO45123
78 years, female, NA, stage:2, dead, 570 days
699.0
DO45263
67 years, male, NA, stage:3, dead, 270 days
698.5
DO50818
65 years, male, NA, stage:2, alive, 510 days
695.3
DO50798
77 years, male, NA, stage:3, dead, 30 days
693.9
DO48706
72 years, male, NA, stage:2, alive, 870 days
690.0
DO23548
78 years, female, NA, stage:1, alive, 840 days
674.2
DO45261
74 years, male, NA, stage:3, alive, 990 days
670.8
DO45227
57 years, female, NA, stage:2, alive, 1020 days
667.1
DO45092
62 years, male, NA, stage:4, dead, 1200 days
655.1
DO48672
81 years, male, NA, stage:2, alive, 450 days
646.5
DO227643
79 years, male, NA, stage:2, alive, 1260 days
636.0
DO45096
69 years, male, NA, stage:2, dead, 1290 days
633.1
DO45133
64 years, male, NA, stage:3, dead, 660 days
633.1
DO45171
56 years, male, NA, stage:3, alive, 600 days
631.3
DO23531
78 years, female, NA, stage:3, alive, 900 days
626.3
DO45199
86 years, female, NA, stage:2, alive, 1350 days
622.5
DO50793
76 years, male, NA, stage:4, alive, 540 days
621.7
DO45097
69 years, male, NA, stage:3, alive, 1620 days
621.5
DO23534
60 years, male, NA, stage:2, alive, 840 days
621.1
DO23528
45 years, female, NA, stage:2, alive, 1020 days
617.1
DO23509
60 years, male, NA, stage:3, dead, 780 days
609.1
DO45167
67 years, male, NA, stage:2, dead, 1440 days
601.9
DO48695
77 years, male, NA, stage:2, alive, 720 days
595.8
DO50825
70 years, male, NA, stage:2, alive, 390 days
595.4
DO48737
52 years, male, NA, stage:1, alive, 720 days
593.3
DO23516
69 years, male, NA, stage:3, dead, 20 days
588.8
DO48674
80 years, male, NA, stage:2, alive, 1260 days
586.6
DO45241
49 years, male, NA, stage:1, alive, 1080 days
585.1
DO45177
81 years, female, NA, stage:3, alive, 1260 days
579.8
DO45109
63 years, male, NA, stage:2, alive, 1590 days
568.6
DO48733
72 years, male, NA, stage:2, alive, 600 days
567.1
DO23551
73 years, male, NA, stage:3, dead, 150 days
564.6
DO48693
71 years, male, NA, stage:2, alive, 900 days
563.8
DO45159
65 years, male, NA, stage:3, alive, 1470 days
562.5
DO45239
42 years, male, NA, stage:2, alive, 870 days
558.7
DO45117
73 years, female, NA, stage:2, dead, 1110 days
558.4
DO23513
76 years, male, NA, stage:3, alive, 1200 days
553.3
DO50807
67 years, male, NA, stage:1, alive, 540 days
540.7
DO23550
69 years, male, NA, stage:1, alive, 990 days
538.3
DO50820
77 years, female, NA, stage:3, alive, 510 days
534.9
DO50774
68 years, female, NA, stage:2, alive, 720 days
533.4
DO50803
62 years, female, NA, stage:1, alive, 540 days
525.9
DO45221
75 years, female, NA, stage:4, dead, 390 days
524.2
DO50802
49 years, male, NA, stage:2, alive, 930 days
518.8
DO50806
70 years, male, NA, stage:4, alive, 540 days
516.8
DO50805
72 years, male, NA, stage:2, alive, 690 days
513.9
DO50839
47 years, female, NA, stage:3, alive, 330 days
507.4
DO45091
56 years, male, NA, stage:2, dead, 1320 days
505.1
DO23510
80 years, female, NA, stage:2, alive, 870 days
501.2
DO45281
83 years, male, NA, stage:4, alive, 750 days
492.4
DO48716
71 years, male, NA, stage:2, alive, 720 days
491.0
DO50859
77 years, male, NA, stage:2, alive, 180 days
490.7
DO50787
63 years, male, NA, stage:3, alive, 480 days
486.4
DO50811
62 years, male, NA, stage:1, alive, 450 days
485.7
DO45115
81 years, male, NA, stage:2, alive, 840 days
483.6
DO23511
83 years, female, NA, stage:3, dead, 180 days
479.6
DO50789
73 years, female, NA, stage:2, alive, 570 days
478.9
DO45195
62 years, male, NA, stage:1, alive, 390 days
475.2
DO50804
81 years, male, NA, stage:2, alive, 720 days
472.9
DO45143
69 years, male, NA, stage:3, alive, 1290 days
470.4
DO23533
61 years, male, NA, stage:2, alive, 900 days
466.7
DO23525
71 years, male, NA, stage:4, alive, 1050 days
463.9
DO50840
49 years, male, NA, stage:2, alive, 330 days
463.1
DO45215
65 years, male, NA, stage:2, alive, 1170 days
456.4
DO45181
84 years, female, NA, stage:2, alive, 1200 days
455.7
DO50808
68 years, male, NA, stage:2, alive, 570 days
451.6
DO45265
73 years, male, NA, stage:3, alive, 1020 days
445.7
DO50850
74 years, male, NA, stage:3, alive, 720 days
440.4
DO45153
77 years, female, NA, stage:2, alive, 1380 days
434.7
DO48757
68 years, female, NA, stage:3, alive, 480 days
429.6
DO50845
72 years, male, NA, stage:3, alive, 210 days
428.2
DO23544
67 years, male, NA, stage:2, alive, 960 days
414.9
DO45183
72 years, female, NA, stage:2, dead, 570 days
412.8
DO50791
79 years, female, NA, stage:1, dead, 480 days
411.5
DO23517
62 years, male, NA, stage:2, alive, 1200 days
405.1
DO23545
67 years, male, NA, stage:2, dead, 570 days
399.2
DO45231
84 years, male, NA, stage:2, alive, 930 days
397.8
DO48743
69 years, female, NA, stage:2, alive, 570 days
394.9
DO23546
63 years, male, NA, stage:2, alive, 1050 days
391.9
DO45135
77 years, male, NA, stage:1, alive, 1410 days
385.2
DO50832
73 years, male, NA, stage:3, alive, 90 days
384.3
DO48679
72 years, male, NA, stage:2, alive, 1200 days
383.8
DO23508
79 years, female, NA, stage:2, alive, 390 days
383.4
DO45131
53 years, male, NA, stage:4, dead, 360 days
380.6
DO45197
51 years, male, NA, stage:2, alive, 1170 days
374.4
DO45157
62 years, male, NA, stage:2, alive, 1980 days
365.5
DO48682
72 years, female, NA, stage:3, dead, 120 days
363.8
DO45137
38 years, male, NA, stage:1, alive, 1320 days
357.3
DO50800
74 years, male, NA, stage:2, alive, 510 days
356.0
DO45255
81 years, male, NA, stage:3, alive, 720 days
355.0
DO48751
68 years, male, NA, stage:2, dead, 480 days
354.0
DO48742
76 years, male, NA, stage:2, alive, 600 days
350.3
DO48717
54 years, male, NA, stage:4, dead, 180 days
342.9
DO50813
56 years, male, NA, stage:2, alive, 420 days
341.7
DO45165
75 years, male, NA, stage:2, alive, 690 days
336.9
DO45235
68 years, female, NA, stage:1, alive, 900 days
333.0
DO50844
75 years, male, NA, stage:4, alive, 300 days
324.0
DO45219
78 years, male, NA, stage:2, alive, 1080 days
323.5
DO45273
62 years, male, NA, stage:2, alive, 480 days
322.4
DO50809
56 years, male, NA, stage:3, dead, 720 days
321.7
DO45101
63 years, male, NA, stage:2, alive, 1680 days
320.4
DO23535
67 years, male, NA, stage:1, alive, 960 days
316.4
DO45229
74 years, male, NA, stage:1, alive, 990 days
313.1
DO23549
74 years, male, NA, stage:3, alive, 990 days
312.9
DO45223
67 years, male, NA, stage:4, alive, 1020 days
308.3
DO23542
66 years, male, NA, stage:3, alive, 960 days
306.1
DO50817
75 years, male, NA, stage:2, alive, 390 days
302.7
DO45243
74 years, female, NA, stage:3, alive, 930 days
295.6
DO45111
74 years, male, NA, stage:2, alive, 1590 days
292.6
DO45173
63 years, male, NA, stage:3, alive, 1170 days
287.5
DO48715
58 years, female, NA, stage:2, dead, 690 days
286.7
DO48712
50 years, male, NA, stage:2, alive, 810 days
285.7
DO45247
31 years, female, NA, stage:2, alive, 210 days
285.5
DO48761
55 years, male, NA, stage:2, alive, 870 days
284.4
DO23532
71 years, female, NA, stage:1, alive, 960 days
276.3
DO45187
32 years, female, NA, stage:1, alive, 1260 days
273.9
DO45233
83 years, male, NA, stage:3, alive, 900 days
272.7
DO45149
70 years, female, NA, stage:2, alive, 1260 days
267.1
DO48697
64 years, female, NA, stage:2, dead, 810 days
265.4
DO50819
72 years, female, NA, stage:2, alive, 510 days
255.4
DO50799
66 years, female, NA, stage:2, alive, 540 days
253.8
DO45191
61 years, female, NA, stage:2, alive, 1200 days
252.9
DO45169
74 years, male, NA, stage:3, alive, 1350 days
252.3
DO48723
73 years, male, NA, stage:1, alive, 600 days
246.7
DO45113
58 years, male, NA, stage:3, alive, 1560 days
244.6
DO45155
69 years, male, NA, stage:2, alive, 2160 days
235.4
DO45105
61 years, male, NA, stage:1, alive, 1680 days
204.1
DO45175
74 years, male, NA, stage:2, alive, 1140 days
201.4
DO23552
80 years, female, NA, stage:1, alive, 810 days
191.7
DO23524
71 years, female, NA, stage:2, alive, 1050 days
191.4
DO23540
73 years, male, NA, stage:1, alive, 750 days
180.3
DO48727
81 years, female, NA, stage:2, dead, 390 days
176.7
DO45253
50 years, male, NA, stage:2, alive, 870 days
159.2
DO45119
74 years, male, NA, stage:3, dead, 510 days
152.7
DO23515
71 years, male, NA, stage:2, alive, 1230 days
135.6
DO50855
47 years, male, NA, stage:2, alive, 570 days
132.6
DO23529
72 years, male, NA, stage:4, alive, 930 days
131.0
DO45139
63 years, male, NA, stage:3, alive, 1320 days
122.8
DO50785
37 years, male, NA, stage:4, dead, 90 days
114.2
DO48719
80 years, male, NA, stage:2, alive, 690 days
107.5
DO48728
74 years, female, NA, stage:2, alive, 150 days
106.7
DO45161
74 years, male, NA, stage:2, dead, 540 days
103.5
DO48681
57 years, male, NA, stage:2, alive, 900 days
94.3
DO23530
53 years, male, NA, stage:4, dead, 180 days
93.5
DO45225
69 years, male, NA, stage:1, alive, 1050 days
89.2
DO23547
74 years, male, NA, stage:1, alive, 1020 days
83.8
DO48720
62 years, female, NA, stage:2, alive, 570 days
80.0
DO23526
66 years, male, NA, stage:3, alive, 1050 days
76.3
DO45269
59 years, male, NA, stage:3, alive, 750 days
67.7
DO48730
73 years, female, NA, stage:2, alive, 630 days
55.1
DO45251
57 years, female, NA, stage:2, alive, 900 days
53.5
DO45193
68 years, female, NA, stage:4, dead, 120 days
53.0
DO50778
60 years, male, NA, stage:4, alive, 630 days
52.3
DO23521
63 years, male, NA, stage:3, alive, 1110 days
51.0
DO45249
57 years, male, NA, stage:1, alive, 630 days
46.0
DO45217
69 years, female, NA, stage:3, dead, 270 days
45.8
DO23537
79 years, male, NA, stage:2, dead, 900 days
39.7
DO45267
73 years, male, NA, stage:3, dead, 570 days
37.4
DO23541
65 years, male, NA, stage:2, alive, 930 days
33.9
DO45093
71 years, male, NA, stage:2, dead, 720 days
32.6
DO48732
73 years, male, NA, stage:3, alive, 630 days
32.3
DO23519
65 years, male, NA, stage:3, alive, 630 days
31.3
DO48747
62 years, male, NA, stage:3, alive, 540 days
27.3
DO50829
78 years, male, NA, stage:3, alive, 570 days
21.3
DO45209
70 years, male, NA, stage:4, alive, 1350 days
19.8
DO45185
89 years, male, NA, stage:2, alive, 600 days
18.7
DO45301
56 years, male, NA, stage:2, dead, 1440 days
16.2
DO45287
74 years, male, NA, stage:1, alive, 390 days
11.0
DO50815
62 years, male, NA, stage:3, alive, 150 days
10.9
DO45205
67 years, female, NA, stage:2, dead, 90 days
8.9
DO45305
66 years, male, NA, stage:4, alive, 300 days
6.7
DO45275
65 years, male, NA, stage:3, dead, 10 days
4.2
DO45259
65 years, male, NA, stage:3, alive, 330 days
2.4
DO45283
60 years, male, NA, stage:3, alive, 510 days
1.7
DO45145
78 years, male, NA, stage:3, dead, 60 days
1.5
DO45279
67 years, male, NA, stage:3, alive, 1290 days
1.0
DO45277
64 years, male, NA, stage:3, alive, 600 days
1.0
DO23523
52 years, male, NA, stage:3, alive, 1080 days
1.0
DO45245
75 years, female, NA, stage:2, dead, 240 days
0.9
DO45127
73 years, male, NA, stage:3, dead, 420 days
0.7
DO45285
59 years, male, NA, stage:3, alive, 480 days
0.6
DO45289
78 years, female, NA, stage:3, alive, 360 days
0.5
DO45189
85 years, female, NA, stage:2, alive, 1200 days
0.5
DO45303
62 years, female, NA, stage:3, alive, 990 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
0.1
DO45211
76 years, male, NA, stage:3, alive, 240 days
0.1
DO45307
54 years, female, NA, stage:4, dead, 240 days
0.0
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
823
Tumor
1.8
425
Tumor
1.6
865
Tumor
1.4
343
Tumor
1.2
977
Tumor
1.2
975
Tumor
1.1
963
Tumor
1.0
147
Tumor
0.9
471
Tumor
0.9
527
Tumor
0.9
1025
Tumor
0.9
777
Tumor
0.9
647
Tumor
0.8
727
Tumor
0.8
445
Tumor
0.7
937
Tumor
0.7
921
Tumor
0.7
817
Tumor
0.7
515
Tumor
0.6
1041
Tumor
0.6
483
Tumor
0.6
517
Tumor
0.6
635
Tumor
0.6
443
Tumor
0.6
863
Tumor
0.6
557
Tumor
0.5
744
Normal
0.5
135
Tumor
0.5
883
Tumor
0.5
737
Tumor
0.5
355
Tumor
0.5
915
Tumor
0.5
881
Tumor
0.5
455
Tumor
0.5
392
Normal
0.4
1021
Tumor
0.4
573
Tumor
0.4
957
Tumor
0.4
922
Normal
0.4
741
Tumor
0.4
415
Tumor
0.4
745
Tumor
0.4
697
Tumor
0.4
1015
Tumor
0.3
192
Normal
0.3
857
Tumor
0.3
171
Tumor
0.3
112
Tumor
0.3
981
Tumor
0.3
911
Tumor
0.3
461
Tumor
0.3
131
Tumor
0.3
431
Tumor
0.3
185
Tumor
0.2
755
Tumor
0.2
227
Tumor
0.2
861
Tumor
0.2
878
Normal
0.2
375
Tumor
0.2
696
Normal
0.2
943
Tumor
0.2
277
Tumor
0.2
342
Normal
0.2
952
Normal
0.2
778
Normal
0.2
473
Tumor
0.2
716
Normal
0.2
951
Tumor
0.1
487
Tumor
0.1
497
Tumor
0.1
1043
Tumor
0.1
938
Normal
0.1
877
Tumor
0.1
813
Tumor
0.1
474
Normal
0.1
525
Tumor
0.1
816
Normal
0.1
141
Tumor
0.1
421
Tumor
0.1
523
Tumor
0.0
746
Normal
0.0
538
Normal
0.0
533
Tumor
0.0
742
Normal
0.0
553
Tumor
0.0
261
Tumor
0.0
123
Tumor
0.0
221
Tumor
0.0
695
Tumor
0.0
785
Tumor
0.0
484
Normal
0.0
1031
Tumor
0.0
477
Tumor
0.0
124
Normal
0.0
412
Normal
0.0
554
Normal
0.0
536
Normal
0.0
1045
Tumor
0.0
545
Tumor
-0.1
1026
Normal
-0.1
111
Normal
-0.1
257
Tumor
-0.1
344
Normal
-0.1
924
Normal
-0.1
426
Normal
-0.1
662
Normal
-0.1
142
Normal
-0.1
526
Normal
-0.1
913
Tumor
-0.1
494
Normal
-0.1
516
Normal
-0.1
1044
Normal
-0.1
223
Tumor
-0.1
955
Tumor
-0.1
186
Normal
-0.1
866
Normal
-0.1
423
Tumor
-0.2
698
Normal
-0.2
493
Tumor
-0.2
1028
Normal
-0.2
867
Tumor
-0.2
352
Normal
-0.2
923
Tumor
-0.2
956
Normal
-0.2
492
Normal
-0.2
738
Normal
-0.2
433
Tumor
-0.2
918
Normal
-0.2
862
Normal
-0.2
574
Normal
-0.2
914
Normal
-0.2
481
Tumor
-0.2
411
Tumor
-0.2
448
Normal
-0.2
518
Normal
-0.2
271
Tumor
-0.2
976
Normal
-0.2
488
Normal
-0.2
546
Normal
-0.2
721
Tumor
-0.2
444
Normal
-0.2
953
Tumor
-0.3
395
Tumor
-0.3
452
Normal
-0.3
396
Normal
-0.3
272
Normal
-0.3
114
Normal
-0.3
218
Normal
-0.3
394
Normal
-0.3
267
Tumor
-0.3
313
Tumor
-0.3
213
Tumor
-0.3
966
Normal
-0.3
393
Tumor
-0.3
422
Normal
-0.3
558
Normal
-0.3
436
Normal
-0.3
728
Normal
-0.3
468
Normal
-0.3
341
Tumor
-0.3
814
Normal
-0.3
944
Normal
-0.3
1013
Tumor
-0.4
882
Normal
-0.4
472
Normal
-0.4
414
Normal
-0.4
462
Normal
-0.4
128
Normal
-0.4
353
Tumor
-0.4
982
Normal
-0.4
466
Normal
-0.4
368
Normal
-0.4
715
Tumor
-0.4
434
Normal
-0.4
268
Normal
-0.4
172
Normal
-0.4
916
Normal
-0.4
912
Normal
-0.4
217
Tumor
-0.4
145
Tumor
-0.4
137
Tumor
-0.4
864
Normal
-0.4
884
Normal
-0.4
113
Tumor
-0.4
1016
Normal
-0.4
365
Tumor
-0.4
138
Normal
-0.4
162
Normal
-0.4
187
Tumor
-0.4
388
Normal
-0.4
568
Normal
-0.5
427
Tumor
-0.5
671
Tumor
-0.5
498
Normal
-0.5
665
Tumor
-0.5
196
Normal
-0.5
563
Tumor
-0.5
376
Normal
-0.5
723
Tumor
-0.5
146
Normal
-0.5
214
Normal
-0.5
327
Tumor
-0.5
1027
Tumor
-0.5
1022
Normal
-0.5
136
Normal
-0.5
567
Tumor
-0.5
456
Normal
-0.5
954
Normal
-0.5
463
Tumor
-0.5
286
Normal
-0.5
391
Tumor
-0.5
228
Normal
-0.5
724
Normal
-0.5
451
Tumor
-0.5
366
Normal
-0.5
424
Normal
-0.5
232
Normal
-0.5
756
Normal
-0.5
482
Normal
-0.5
874
Normal
-0.5
572
Normal
-0.5
1014
Normal
-0.5
428
Normal
-0.6
148
Normal
-0.6
965
Tumor
-0.6
524
Normal
-0.6
686
Normal
-0.6
514
Normal
-0.6
713
Tumor
-0.6
132
Normal
-0.6
984
Normal
-0.6
618
Normal
-0.6
824
Normal
-0.6
195
Tumor
-0.6
447
Tumor
-0.6
435
Tumor
-0.6
354
Normal
-0.6
125
Tumor
-0.6
968
Normal
-0.6
926
Normal
-0.6
191
Tumor
-0.6
467
Tumor
-0.6
564
Normal
-0.6
873
Tumor
-0.6
297
Tumor
-0.6
714
Normal
-0.6
958
Normal
-0.6
1032
Normal
-0.6
465
Tumor
-0.6
786
Normal
-0.6
491
Tumor
-0.6
363
Tumor
-0.6
815
Tumor
-0.6
858
Normal
-0.6
283
Tumor
-0.6
571
Tumor
-0.6
925
Tumor
-0.6
258
Normal
-0.6
852
Normal
-0.6
278
Normal
-0.7
386
Normal
-0.7
446
Normal
-0.7
387
Tumor
-0.7
534
Normal
-0.7
432
Normal
-0.7
917
Tumor
-0.7
1042
Normal
-0.7
1046
Normal
-0.7
868
Normal
-0.7
978
Normal
-0.7
642
Normal
-0.7
262
Normal
-0.7
314
Normal
-0.7
357
Tumor
-0.7
361
Tumor
-0.7
222
Normal
-0.7
672
Normal
-0.7
513
Tumor
-0.7
212
Normal
-0.7
615
Tumor
-0.7
284
Normal
-0.7
636
Normal
-0.7
478
Normal
-0.7
362
Normal
-0.7
416
Normal
-0.7
384
Normal
-0.8
851
Tumor
-0.8
298
Normal
-0.8
224
Normal
-0.8
722
Normal
-0.8
285
Tumor
-0.8
188
Normal
-0.8
358
Normal
-0.8
964
Normal
-0.8
161
Tumor
-0.8
528
Normal
-0.8
535
Tumor
-0.8
312
Normal
-0.8
383
Tumor
-0.8
818
Normal
-0.9
126
Normal
-0.9
685
Tumor
-0.9
364
Normal
-1.0
351
Tumor
-1.0
332
Normal
-1.0
664
Normal
-1.0
967
Tumor
-1.0
127
Tumor
-1.0
328
Normal
-1.0
537
Tumor
-1.0
356
Normal
-1.0
663
Tumor
-1.0
464
Normal
-1.1
648
Normal
-1.1
666
Normal
-1.1
231
Tumor
-1.1
211
Tumor
-1.2
413
Tumor
-1.2
311
Tumor
-1.2
628
Normal
-1.2
983
Tumor
-1.2
617
Tumor
-1.2
331
Tumor
-1.3
616
Normal
-1.3
627
Tumor
-1.3
641
Tumor
-1.4
367
Tumor
-1.6
385
Tumor
-1.6
743
Tumor
-1.7
661
Tumor
-2.1
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.