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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.
C4BPA is potential 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.
0.00057
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.
54%
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.
34%
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
540.0
Number of samples
362
Samples
Sample
Description
TPM
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
3178.5
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
2816.5
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
2508.0
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
2454.3
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
2350.4
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
2261.1
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
2200.9
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
2186.5
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
2087.9
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1861.5
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1855.9
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1836.0
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1662.9
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
1661.4
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
1641.7
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
1641.2
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1632.5
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1541.3
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
1536.5
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1536.1
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
1533.5
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
1508.7
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
1504.5
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
1499.1
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
1462.2
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
1457.9
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1423.5
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
1409.4
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1409.4
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
1399.7
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
1391.5
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1339.9
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
1335.3
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
1328.8
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
1273.3
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
1268.4
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
1266.1
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
1245.3
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
1239.2
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1188.3
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1173.5
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1149.4
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
1140.9
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
1129.7
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1128.0
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
1124.6
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1106.7
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1103.0
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
1094.7
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
1092.8
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
1089.7
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1082.7
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1074.1
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
1050.0
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1022.0
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
1019.4
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
1002.9
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
994.6
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
992.9
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
991.6
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
975.1
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
966.7
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
961.8
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
943.9
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
941.0
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
939.7
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
934.5
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
925.5
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
908.8
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
903.1
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
899.2
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
895.0
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
888.5
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
882.2
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
882.0
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
860.8
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
860.2
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
857.6
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
844.0
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
843.1
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
836.8
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
833.4
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
832.8
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
831.8
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
826.8
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
823.6
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
820.6
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
812.3
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
800.5
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
795.8
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
793.6
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
792.2
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
789.5
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
780.5
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
765.5
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
764.0
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
758.4
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
738.1
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
732.5
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
732.0
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
719.5
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
699.5
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
694.6
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
688.7
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
676.4
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
670.7
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
665.6
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
664.8
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
661.5
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
655.4
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
653.4
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
652.2
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
642.1
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
641.0
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
633.0
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
629.7
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
629.4
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
625.9
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
613.0
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
606.6
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
592.4
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
580.3
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
579.7
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
578.1
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
562.1
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
559.5
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
558.8
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
558.7
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
555.0
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
554.0
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
545.2
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
539.8
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
535.4
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
533.6
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
533.0
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
527.9
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
514.8
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
509.2
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
505.9
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
502.2
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
493.2
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
492.1
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
491.9
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
489.4
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
481.9
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
481.2
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
471.6
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
468.3
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
468.0
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
463.6
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
463.3
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
462.1
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
458.2
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
455.4
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
454.8
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
454.7
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
450.1
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
449.8
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
449.8
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
444.2
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
442.7
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
441.4
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
436.5
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
429.2
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
428.1
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
426.9
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
420.9
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
420.1
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
418.3
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
415.8
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
414.2
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
414.0
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
410.7
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
399.6
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
398.7
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
398.4
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
397.6
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
390.3
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
389.3
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
389.0
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
388.5
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
377.8
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
375.7
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
375.0
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
366.5
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
364.9
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
358.9
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
352.8
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
350.0
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
349.2
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
348.6
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
344.8
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
343.4
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
342.2
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
338.9
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
337.8
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
334.0
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
328.2
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
327.2
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
325.7
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
324.8
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
312.3
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
308.3
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
305.3
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
303.2
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
298.1
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
293.2
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
289.6
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
288.9
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
288.5
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
285.3
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
278.9
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
277.8
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
276.2
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
276.1
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
271.3
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
264.6
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
263.7
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
261.4
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
260.3
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
258.6
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
257.7
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
256.5
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
255.8
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
255.2
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
251.6
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
246.6
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
246.6
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
245.3
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
244.1
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
244.1
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
243.7
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
240.9
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
240.4
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
237.0
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
236.6
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
232.5
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
230.7
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
229.3
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
229.2
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
226.7
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
225.4
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
223.0
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
217.7
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
216.5
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
215.2
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
209.5
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
208.5
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
207.6
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
206.0
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
204.7
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
204.5
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
203.1
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
202.6
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
196.2
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
194.1
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
189.2
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
186.2
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
184.2
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
183.3
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
182.1
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
178.6
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
177.1
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
176.9
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
174.9
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
174.7
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
172.5
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
170.8
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
170.6
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
168.6
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
167.5
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
164.7
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
164.5
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
163.2
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
162.0
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
159.0
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
157.8
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
156.9
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
155.7
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
155.6
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
150.9
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
144.3
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
140.8
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
137.0
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
131.8
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
125.9
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
123.9
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
122.6
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
122.4
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
118.0
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
114.8
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
114.4
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
114.2
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
114.0
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
112.8
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
108.1
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
106.0
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
105.1
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
105.0
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
104.0
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
102.8
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
101.3
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
100.3
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
100.3
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
97.8
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
97.5
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
97.0
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
95.2
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
88.9
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
88.4
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
86.3
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
86.1
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
83.0
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
80.6
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
77.8
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
76.7
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
76.0
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
75.4
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
74.8
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
74.8
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
73.8
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
66.4
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
62.8
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
61.3
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
59.4
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
50.8
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
46.4
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
42.6
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
40.6
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
39.5
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
39.4
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
39.4
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
36.7
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
36.3
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
35.7
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
33.3
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
33.2
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
28.3
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
27.8
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
27.0
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
26.1
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
24.2
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
21.8
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
20.5
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
19.2
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
12.4
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
10.9
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
10.1
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
9.3
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
8.8
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
8.1
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
5.4
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
5.0
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
4.0
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
3.8
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
3.7
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
3.3
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1.2
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
0.7
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
0.5
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
0.5
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
C4BPA is not prognostic in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 2.14
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.016
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.
71%
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
572.8
Number of samples
231
Samples
Sample
Description
TPM
DO45199
86 years, female, NA, stage:2, alive, 1350 days
3518.9
DO48704
68 years, female, NA, stage:3, alive, 750 days
2408.8
DO50822
66 years, male, NA, stage:2, alive, 510 days
2246.6
DO45129
61 years, male, NA, stage:3, alive, 1470 days
2046.7
DO23529
72 years, male, NA, stage:4, alive, 930 days
2013.3
DO45175
74 years, male, NA, stage:2, alive, 1140 days
2008.0
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1894.2
DO48719
80 years, male, NA, stage:2, alive, 690 days
1781.0
DO23536
56 years, male, NA, stage:2, alive, 930 days
1770.6
DO48677
58 years, male, NA, stage:3, alive, 1140 days
1716.7
DO45094
76 years, male, NA, stage:3, alive, 1650 days
1681.5
DO23518
67 years, male, NA, stage:2, alive, 1320 days
1675.1
DO45171
56 years, male, NA, stage:3, alive, 600 days
1529.7
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1529.2
DO23549
74 years, male, NA, stage:3, alive, 990 days
1506.3
DO50857
72 years, male, NA, stage:2, alive, 210 days
1493.6
DO45097
69 years, male, NA, stage:3, alive, 1620 days
1479.7
DO45179
78 years, female, NA, stage:2, alive, 600 days
1475.9
DO48706
72 years, male, NA, stage:2, alive, 870 days
1427.3
DO45257
46 years, male, NA, stage:3, alive, 810 days
1400.1
DO48733
72 years, male, NA, stage:2, alive, 600 days
1377.4
DO45227
57 years, female, NA, stage:2, alive, 1020 days
1349.6
DO23513
76 years, male, NA, stage:3, alive, 1200 days
1319.5
DO23527
72 years, male, NA, stage:1, alive, 1050 days
1280.3
DO23538
67 years, male, NA, stage:2, alive, 450 days
1259.2
DO45117
73 years, female, NA, stage:2, dead, 1110 days
1248.5
DO45261
74 years, male, NA, stage:3, alive, 990 days
1243.4
DO48746
76 years, male, NA, stage:3, alive, 570 days
1237.8
DO48723
73 years, male, NA, stage:1, alive, 600 days
1234.7
DO227801
77 years, female, NA, stage:1, alive, 660 days
1207.8
DO23516
69 years, male, NA, stage:3, dead, 20 days
1206.5
DO50783
62 years, male, NA, stage:3, alive, 480 days
1198.2
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1175.7
DO48760
70 years, female, NA, stage:2, alive, 690 days
1171.1
DO45167
67 years, male, NA, stage:2, dead, 1440 days
1159.2
DO45203
71 years, female, NA, stage:2, alive, 1170 days
1126.4
DO50803
62 years, female, NA, stage:1, alive, 540 days
1111.5
DO48721
58 years, female, NA, stage:1, alive, 900 days
1098.2
DO50818
65 years, male, NA, stage:2, alive, 510 days
1086.8
DO45133
64 years, male, NA, stage:3, dead, 660 days
1062.4
DO45091
56 years, male, NA, stage:2, dead, 1320 days
1040.1
DO45163
76 years, male, NA, stage:2, alive, 960 days
1013.1
DO23542
66 years, male, NA, stage:3, alive, 960 days
994.1
DO45092
62 years, male, NA, stage:4, dead, 1200 days
960.9
DO45095
66 years, male, NA, stage:2, alive, 1620 days
959.8
DO23548
78 years, female, NA, stage:1, alive, 840 days
954.7
DO50789
73 years, female, NA, stage:2, alive, 570 days
936.2
DO48727
81 years, female, NA, stage:2, dead, 390 days
930.9
DO50825
70 years, male, NA, stage:2, alive, 390 days
909.0
DO45141
73 years, male, NA, stage:2, alive, 1320 days
887.8
DO45177
81 years, female, NA, stage:3, alive, 1260 days
884.9
DO50804
81 years, male, NA, stage:2, alive, 720 days
878.3
DO48693
71 years, male, NA, stage:2, alive, 900 days
876.7
DO45239
42 years, male, NA, stage:2, alive, 870 days
863.8
DO48743
69 years, female, NA, stage:2, alive, 570 days
860.9
DO50787
63 years, male, NA, stage:3, alive, 480 days
821.5
DO48717
54 years, male, NA, stage:4, dead, 180 days
791.2
DO45115
81 years, male, NA, stage:2, alive, 840 days
782.7
DO45195
62 years, male, NA, stage:1, alive, 390 days
781.2
DO23551
73 years, male, NA, stage:3, dead, 150 days
766.6
DO48679
72 years, male, NA, stage:2, alive, 1200 days
757.9
DO45113
58 years, male, NA, stage:3, alive, 1560 days
750.2
DO50816
63 years, male, NA, stage:2, alive, 390 days
739.6
DO48716
71 years, male, NA, stage:2, alive, 720 days
731.0
DO50820
77 years, female, NA, stage:3, alive, 510 days
725.5
DO50802
49 years, male, NA, stage:2, alive, 930 days
719.6
DO23531
78 years, female, NA, stage:3, alive, 900 days
712.8
DO45155
69 years, male, NA, stage:2, alive, 2160 days
712.7
DO50776
75 years, male, NA, stage:1, alive, 690 days
703.3
DO50774
68 years, female, NA, stage:2, alive, 720 days
699.6
DO23533
61 years, male, NA, stage:2, alive, 900 days
696.7
DO23543
63 years, male, NA, stage:2, alive, 1020 days
687.0
DO45183
72 years, female, NA, stage:2, dead, 570 days
671.1
DO45157
62 years, male, NA, stage:2, alive, 1980 days
663.9
DO48737
52 years, male, NA, stage:1, alive, 720 days
656.7
DO45255
81 years, male, NA, stage:3, alive, 720 days
644.5
DO48695
77 years, male, NA, stage:2, alive, 720 days
640.5
DO48674
80 years, male, NA, stage:2, alive, 1260 days
636.8
DO45223
67 years, male, NA, stage:4, alive, 1020 days
636.4
DO50859
77 years, male, NA, stage:2, alive, 180 days
633.8
DO23517
62 years, male, NA, stage:2, alive, 1200 days
632.5
DO50793
76 years, male, NA, stage:4, alive, 540 days
625.8
DO45096
69 years, male, NA, stage:2, dead, 1290 days
616.8
DO50850
74 years, male, NA, stage:3, alive, 720 days
610.5
DO23541
65 years, male, NA, stage:2, alive, 930 days
602.0
DO48700
78 years, female, NA, stage:2, alive, 810 days
598.6
DO45131
53 years, male, NA, stage:4, dead, 360 days
583.4
DO50807
67 years, male, NA, stage:1, alive, 540 days
575.0
DO45201
49 years, male, NA, stage:1, alive, 900 days
571.3
DO23550
69 years, male, NA, stage:1, alive, 990 days
569.9
DO45229
74 years, male, NA, stage:1, alive, 990 days
567.6
DO23525
71 years, male, NA, stage:4, alive, 1050 days
564.0
DO45205
67 years, female, NA, stage:2, dead, 90 days
559.7
DO45153
77 years, female, NA, stage:2, alive, 1380 days
553.4
DO48672
81 years, male, NA, stage:2, alive, 450 days
548.9
DO45181
84 years, female, NA, stage:2, alive, 1200 days
524.2
DO45215
65 years, male, NA, stage:2, alive, 1170 days
509.9
DO45231
84 years, male, NA, stage:2, alive, 930 days
507.6
DO50845
72 years, male, NA, stage:3, alive, 210 days
495.8
DO45169
74 years, male, NA, stage:3, alive, 1350 days
491.4
DO45263
67 years, male, NA, stage:3, dead, 270 days
489.6
DO23511
83 years, female, NA, stage:3, dead, 180 days
486.1
DO48742
76 years, male, NA, stage:2, alive, 600 days
483.5
DO45123
78 years, female, NA, stage:2, dead, 570 days
469.8
DO45187
32 years, female, NA, stage:1, alive, 1260 days
461.8
DO45193
68 years, female, NA, stage:4, dead, 120 days
459.8
DO50800
74 years, male, NA, stage:2, alive, 510 days
453.6
DO45165
75 years, male, NA, stage:2, alive, 690 days
452.1
DO227643
79 years, male, NA, stage:2, alive, 1260 days
451.2
DO45281
83 years, male, NA, stage:4, alive, 750 days
447.8
DO23510
80 years, female, NA, stage:2, alive, 870 days
446.9
DO50819
72 years, female, NA, stage:2, alive, 510 days
445.1
DO50805
72 years, male, NA, stage:2, alive, 690 days
441.1
DO45235
68 years, female, NA, stage:1, alive, 900 days
439.3
DO50817
75 years, male, NA, stage:2, alive, 390 days
428.6
DO50811
62 years, male, NA, stage:1, alive, 450 days
428.2
DO50806
70 years, male, NA, stage:4, alive, 540 days
421.5
DO45109
63 years, male, NA, stage:2, alive, 1590 days
410.4
DO48761
55 years, male, NA, stage:2, alive, 870 days
410.1
DO48725
66 years, male, NA, stage:1, alive, 780 days
407.5
DO23524
71 years, female, NA, stage:2, alive, 1050 days
399.9
DO45107
63 years, female, NA, stage:2, alive, 1710 days
397.9
DO45103
47 years, male, NA, stage:3, alive, 450 days
395.5
DO50798
77 years, male, NA, stage:3, dead, 30 days
391.1
DO23544
67 years, male, NA, stage:2, alive, 960 days
389.3
DO45241
49 years, male, NA, stage:1, alive, 1080 days
386.5
DO45125
58 years, male, NA, stage:3, alive, 1680 days
374.9
DO45275
65 years, male, NA, stage:3, dead, 10 days
370.5
DO45247
31 years, female, NA, stage:2, alive, 210 days
369.2
DO50814
83 years, male, NA, stage:3, alive, 420 days
355.8
DO48682
72 years, female, NA, stage:3, dead, 120 days
353.2
DO45121
61 years, male, NA, stage:3, alive, 1530 days
350.9
DO45111
74 years, male, NA, stage:2, alive, 1590 days
350.5
DO50839
47 years, female, NA, stage:3, alive, 330 days
345.5
DO45135
77 years, male, NA, stage:1, alive, 1410 days
337.0
DO45173
63 years, male, NA, stage:3, alive, 1170 days
336.6
DO23509
60 years, male, NA, stage:3, dead, 780 days
335.0
DO48715
58 years, female, NA, stage:2, dead, 690 days
333.2
DO45197
51 years, male, NA, stage:2, alive, 1170 days
331.4
DO23512
60 years, male, NA, stage:1, alive, 1260 days
327.8
DO48751
68 years, male, NA, stage:2, dead, 480 days
327.8
DO45221
75 years, female, NA, stage:4, dead, 390 days
322.9
DO50778
60 years, male, NA, stage:4, alive, 630 days
315.0
DO45099
46 years, male, NA, stage:3, alive, 1590 days
314.4
DO45143
69 years, male, NA, stage:3, alive, 1290 days
310.9
DO48759
73 years, male, NA, stage:3, alive, 720 days
310.6
DO45119
74 years, male, NA, stage:3, dead, 510 days
310.2
DO45101
63 years, male, NA, stage:2, alive, 1680 days
304.4
DO50808
68 years, male, NA, stage:2, alive, 570 days
294.1
DO48712
50 years, male, NA, stage:2, alive, 810 days
289.3
DO48757
68 years, female, NA, stage:3, alive, 480 days
278.5
DO23528
45 years, female, NA, stage:2, alive, 1020 days
275.3
DO45207
68 years, male, NA, stage:1, alive, 1050 days
272.8
DO50813
56 years, male, NA, stage:2, alive, 420 days
263.7
DO23508
79 years, female, NA, stage:2, alive, 390 days
254.5
DO45273
62 years, male, NA, stage:2, alive, 480 days
247.3
DO45253
50 years, male, NA, stage:2, alive, 870 days
247.3
DO45137
38 years, male, NA, stage:1, alive, 1320 days
246.4
DO45233
83 years, male, NA, stage:3, alive, 900 days
242.0
DO45267
73 years, male, NA, stage:3, dead, 570 days
240.8
DO45243
74 years, female, NA, stage:3, alive, 930 days
227.8
DO45213
58 years, male, NA, stage:1, alive, 1200 days
224.6
DO50840
49 years, male, NA, stage:2, alive, 330 days
223.5
DO48701
78 years, male, NA, stage:2, alive, 780 days
223.3
DO50799
66 years, female, NA, stage:2, alive, 540 days
218.6
DO50829
78 years, male, NA, stage:3, alive, 570 days
213.0
DO45237
58 years, male, NA, stage:2, alive, 900 days
206.8
DO23521
63 years, male, NA, stage:3, alive, 1110 days
203.1
DO23535
67 years, male, NA, stage:1, alive, 960 days
199.3
DO23534
60 years, male, NA, stage:2, alive, 840 days
189.8
DO48736
76 years, female, NA, stage:1, alive, 600 days
187.1
DO48720
62 years, female, NA, stage:2, alive, 570 days
182.7
DO50791
79 years, female, NA, stage:1, dead, 480 days
181.6
DO23545
67 years, male, NA, stage:2, dead, 570 days
178.5
DO23530
53 years, male, NA, stage:4, dead, 180 days
178.5
DO23547
74 years, male, NA, stage:1, alive, 1020 days
172.3
DO45139
63 years, male, NA, stage:3, alive, 1320 days
170.4
DO45093
71 years, male, NA, stage:2, dead, 720 days
169.3
DO45265
73 years, male, NA, stage:3, alive, 1020 days
156.3
DO48741
64 years, male, NA, stage:3, alive, 240 days
151.8
DO45149
70 years, female, NA, stage:2, alive, 1260 days
150.9
DO45191
61 years, female, NA, stage:2, alive, 1200 days
150.5
DO50832
73 years, male, NA, stage:3, alive, 90 days
139.3
DO50785
37 years, male, NA, stage:4, dead, 90 days
135.2
DO50809
56 years, male, NA, stage:3, dead, 720 days
127.5
DO50855
47 years, male, NA, stage:2, alive, 570 days
122.3
DO45185
89 years, male, NA, stage:2, alive, 600 days
121.0
DO48728
74 years, female, NA, stage:2, alive, 150 days
120.8
DO45225
69 years, male, NA, stage:1, alive, 1050 days
118.4
DO23546
63 years, male, NA, stage:2, alive, 1050 days
108.2
DO45105
61 years, male, NA, stage:1, alive, 1680 days
104.9
DO45277
64 years, male, NA, stage:3, alive, 600 days
101.1
DO23532
71 years, female, NA, stage:1, alive, 960 days
99.7
DO23540
73 years, male, NA, stage:1, alive, 750 days
97.7
DO48681
57 years, male, NA, stage:2, alive, 900 days
96.6
DO23552
80 years, female, NA, stage:1, alive, 810 days
93.5
DO48747
62 years, male, NA, stage:3, alive, 540 days
92.4
DO48697
64 years, female, NA, stage:2, dead, 810 days
81.1
DO48730
73 years, female, NA, stage:2, alive, 630 days
71.3
DO48732
73 years, male, NA, stage:3, alive, 630 days
69.6
DO45249
57 years, male, NA, stage:1, alive, 630 days
64.9
DO23526
66 years, male, NA, stage:3, alive, 1050 days
57.7
DO23515
71 years, male, NA, stage:2, alive, 1230 days
55.7
DO45217
69 years, female, NA, stage:3, dead, 270 days
55.6
DO45251
57 years, female, NA, stage:2, alive, 900 days
46.7
DO45283
60 years, male, NA, stage:3, alive, 510 days
46.7
DO23537
79 years, male, NA, stage:2, dead, 900 days
39.3
DO45279
67 years, male, NA, stage:3, alive, 1290 days
38.9
DO45269
59 years, male, NA, stage:3, alive, 750 days
36.0
DO23519
65 years, male, NA, stage:3, alive, 630 days
32.3
DO45219
78 years, male, NA, stage:2, alive, 1080 days
29.7
DO45301
56 years, male, NA, stage:2, dead, 1440 days
27.6
DO45161
74 years, male, NA, stage:2, dead, 540 days
24.1
DO45209
70 years, male, NA, stage:4, alive, 1350 days
17.8
DO45305
66 years, male, NA, stage:4, alive, 300 days
11.9
DO45245
75 years, female, NA, stage:2, dead, 240 days
11.1
DO45287
74 years, male, NA, stage:1, alive, 390 days
10.4
DO50844
75 years, male, NA, stage:4, alive, 300 days
7.3
DO45189
85 years, female, NA, stage:2, alive, 1200 days
7.2
DO50815
62 years, male, NA, stage:3, alive, 150 days
6.6
DO45127
73 years, male, NA, stage:3, dead, 420 days
6.0
DO45303
62 years, female, NA, stage:3, alive, 990 days
5.3
DO45259
65 years, male, NA, stage:3, alive, 330 days
4.2
DO45307
54 years, female, NA, stage:4, dead, 240 days
4.0
DO45145
78 years, male, NA, stage:3, dead, 60 days
3.6
DO45285
59 years, male, NA, stage:3, alive, 480 days
2.9
DO45289
78 years, female, NA, stage:3, alive, 360 days
2.6
DO23523
52 years, male, NA, stage:3, alive, 1080 days
1.2
DO45299
70 years, female, NA, stage:1, alive, 1440 days
0.8
DO45297
61 years, female, NA, stage:4, dead, 1260 days
0.6
DO45211
76 years, male, NA, stage:3, alive, 240 days
0.3
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
697
Tumor
2.2
777
Tumor
1.9
823
Tumor
1.9
343
Tumor
1.6
975
Tumor
1.5
553
Tumor
1.4
963
Tumor
1.4
527
Tumor
1.3
745
Tumor
1.2
1021
Tumor
1.1
1015
Tumor
1.1
715
Tumor
1.1
713
Tumor
1.1
977
Tumor
1.1
863
Tumor
1.0
523
Tumor
1.0
445
Tumor
0.9
477
Tumor
0.9
861
Tumor
0.9
857
Tumor
0.9
557
Tumor
0.9
915
Tumor
0.9
937
Tumor
0.9
635
Tumor
0.8
451
Tumor
0.8
865
Tumor
0.8
112
Tumor
0.8
515
Tumor
0.7
813
Tumor
0.7
533
Tumor
0.7
877
Tumor
0.7
327
Tumor
0.7
375
Tumor
0.7
981
Tumor
0.7
1025
Tumor
0.7
135
Tumor
0.7
328
Normal
0.7
921
Tumor
0.6
778
Normal
0.6
957
Tumor
0.6
525
Tumor
0.6
393
Tumor
0.6
137
Tumor
0.5
125
Tumor
0.5
1041
Tumor
0.5
491
Tumor
0.5
217
Tumor
0.5
433
Tumor
0.5
554
Normal
0.5
487
Tumor
0.4
721
Tumor
0.4
147
Tumor
0.4
967
Tumor
0.4
517
Tumor
0.4
271
Tumor
0.4
1031
Tumor
0.3
395
Tumor
0.3
911
Tumor
0.3
1027
Tumor
0.3
741
Tumor
0.3
218
Normal
0.3
223
Tumor
0.3
924
Normal
0.3
538
Normal
0.3
746
Normal
0.3
483
Tumor
0.3
737
Tumor
0.3
443
Tumor
0.2
113
Tumor
0.2
191
Tumor
0.2
524
Normal
0.2
195
Tumor
0.2
461
Tumor
0.2
368
Normal
0.2
952
Normal
0.2
474
Normal
0.2
1043
Tumor
0.2
142
Normal
0.2
1028
Normal
0.2
497
Tumor
0.2
817
Tumor
0.2
755
Tumor
0.1
816
Normal
0.1
421
Tumor
0.1
685
Tumor
0.1
923
Tumor
0.1
493
Tumor
0.1
536
Normal
0.1
344
Normal
0.1
925
Tumor
0.1
636
Normal
0.1
964
Normal
0.1
867
Tumor
0.1
192
Normal
0.1
1045
Tumor
0.1
492
Normal
0.1
392
Normal
0.1
431
Tumor
0.1
283
Tumor
0.1
488
Normal
0.1
526
Normal
0.1
956
Normal
0.1
452
Normal
0.1
513
Tumor
0.0
228
Normal
0.0
171
Tumor
0.0
724
Normal
0.0
696
Normal
0.0
1026
Normal
0.0
342
Normal
0.0
744
Normal
0.0
123
Tumor
0.0
161
Tumor
0.0
866
Normal
0.0
546
Normal
0.0
785
Tumor
0.0
686
Normal
0.0
471
Tumor
0.0
518
Normal
0.0
141
Tumor
0.0
467
Tumor
0.0
396
Normal
0.0
723
Tumor
0.0
124
Normal
-0.1
494
Normal
-0.1
187
Tumor
-0.1
286
Normal
-0.1
955
Tumor
-0.1
618
Normal
-0.1
642
Normal
-0.1
615
Tumor
-0.1
913
Tumor
-0.1
297
Tumor
-0.1
917
Tumor
-0.1
131
Tumor
-0.1
968
Normal
-0.1
232
Normal
-0.1
498
Normal
-0.1
881
Tumor
-0.1
558
Normal
-0.2
722
Normal
-0.2
567
Tumor
-0.2
1016
Normal
-0.2
455
Tumor
-0.2
573
Tumor
-0.2
976
Normal
-0.2
213
Tumor
-0.2
514
Normal
-0.2
138
Normal
-0.2
257
Tumor
-0.2
545
Tumor
-0.2
918
Normal
-0.2
756
Normal
-0.2
361
Tumor
-0.2
528
Normal
-0.2
224
Normal
-0.2
966
Normal
-0.2
212
Normal
-0.2
426
Normal
-0.2
353
Tumor
-0.2
1022
Normal
-0.3
824
Normal
-0.3
285
Tumor
-0.3
391
Tumor
-0.3
727
Tumor
-0.3
574
Normal
-0.3
261
Tumor
-0.3
111
Normal
-0.3
714
Normal
-0.3
728
Normal
-0.3
364
Normal
-0.3
814
Normal
-0.3
914
Normal
-0.3
698
Normal
-0.3
132
Normal
-0.3
873
Tumor
-0.3
564
Normal
-0.3
617
Tumor
-0.3
446
Normal
-0.3
818
Normal
-0.3
172
Normal
-0.3
1042
Normal
-0.3
463
Tumor
-0.3
1046
Normal
-0.3
148
Normal
-0.3
481
Tumor
-0.3
516
Normal
-0.3
386
Normal
-0.3
534
Normal
-0.3
982
Normal
-0.3
858
Normal
-0.3
922
Normal
-0.3
938
Normal
-0.3
951
Tumor
-0.3
568
Normal
-0.3
126
Normal
-0.3
114
Normal
-0.3
136
Normal
-0.4
468
Normal
-0.4
358
Normal
-0.4
128
Normal
-0.4
944
Normal
-0.4
145
Tumor
-0.4
883
Tumor
-0.4
738
Normal
-0.4
162
Normal
-0.4
428
Normal
-0.4
1044
Normal
-0.4
878
Normal
-0.4
352
Normal
-0.4
447
Tumor
-0.4
185
Tumor
-0.4
473
Tumor
-0.4
376
Normal
-0.4
1014
Normal
-0.4
211
Tumor
-0.4
716
Normal
-0.4
186
Normal
-0.4
464
Normal
-0.4
874
Normal
-0.4
448
Normal
-0.4
268
Normal
-0.4
472
Normal
-0.4
671
Tumor
-0.4
196
Normal
-0.4
412
Normal
-0.4
868
Normal
-0.4
484
Normal
-0.4
355
Tumor
-0.4
851
Tumor
-0.4
284
Normal
-0.4
786
Normal
-0.4
958
Normal
-0.5
882
Normal
-0.5
984
Normal
-0.5
262
Normal
-0.5
312
Normal
-0.5
351
Tumor
-0.5
616
Normal
-0.5
862
Normal
-0.5
916
Normal
-0.5
314
Normal
-0.5
221
Tumor
-0.5
416
Normal
-0.5
953
Tumor
-0.5
627
Tumor
-0.5
231
Tumor
-0.5
394
Normal
-0.5
424
Normal
-0.5
354
Normal
-0.5
214
Normal
-0.5
926
Normal
-0.5
422
Normal
-0.5
478
Normal
-0.5
462
Normal
-0.5
146
Normal
-0.5
222
Normal
-0.5
641
Tumor
-0.5
742
Normal
-0.5
456
Normal
-0.5
466
Normal
-0.5
572
Normal
-0.5
387
Tumor
-0.5
298
Normal
-0.5
415
Tumor
-0.5
258
Normal
-0.5
356
Normal
-0.5
912
Normal
-0.6
628
Normal
-0.6
482
Normal
-0.6
648
Normal
-0.6
884
Normal
-0.6
188
Normal
-0.6
357
Tumor
-0.6
978
Normal
-0.6
384
Normal
-0.6
434
Normal
-0.6
943
Tumor
-0.6
864
Normal
-0.6
414
Normal
-0.6
432
Normal
-0.6
743
Tumor
-0.6
852
Normal
-0.6
365
Tumor
-0.6
436
Normal
-0.6
388
Normal
-0.6
383
Tumor
-0.6
423
Tumor
-0.6
665
Tumor
-0.6
332
Normal
-0.7
535
Tumor
-0.7
965
Tumor
-0.7
537
Tumor
-0.7
341
Tumor
-0.7
366
Normal
-0.7
311
Tumor
-0.7
954
Normal
-0.7
272
Normal
-0.7
815
Tumor
-0.7
362
Normal
-0.8
666
Normal
-0.8
267
Tumor
-0.8
127
Tumor
-0.8
444
Normal
-0.8
662
Normal
-0.8
1013
Tumor
-0.8
672
Normal
-0.8
1032
Normal
-0.8
331
Tumor
-0.8
227
Tumor
-0.8
278
Normal
-0.8
313
Tumor
-0.8
695
Tumor
-0.8
571
Tumor
-0.9
413
Tumor
-0.9
367
Tumor
-0.9
563
Tumor
-0.9
465
Tumor
-0.9
663
Tumor
-1.0
664
Normal
-1.0
427
Tumor
-1.0
983
Tumor
-1.0
363
Tumor
-1.1
277
Tumor
-1.1
425
Tumor
-1.2
385
Tumor
-1.3
647
Tumor
-1.5
435
Tumor
-1.5
661
Tumor
-1.6
411
Tumor
-1.7
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LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.