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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.
ASGR2 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.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
500.0
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
1671.9
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
1530.6
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
1504.8
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
1426.9
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1417.5
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
1300.3
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1236.2
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1226.2
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1219.4
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
1214.9
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
1200.1
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
1168.2
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
1149.8
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
1142.1
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
1122.8
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
1120.9
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
1118.2
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1116.1
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
1112.3
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
1107.6
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1095.9
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
1093.2
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1082.8
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1082.1
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
1075.4
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1074.1
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
1045.6
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
1036.1
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1021.9
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1002.5
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
992.4
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
978.2
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
976.9
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
948.8
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
948.6
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
937.1
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
934.3
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
918.3
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
909.8
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
901.8
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
894.0
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
893.9
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
879.3
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
875.6
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
867.2
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
864.6
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
854.3
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
851.2
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
850.3
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
838.5
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
837.3
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
827.1
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
822.3
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
810.9
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
805.7
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
803.6
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
793.0
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
789.8
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
787.7
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
780.2
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
777.4
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
776.1
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
773.7
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
770.0
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
769.2
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
763.0
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
755.4
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
751.3
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
751.0
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
734.8
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
732.2
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
731.6
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
725.0
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
720.5
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
717.1
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
716.6
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
714.1
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
713.4
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
711.8
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
710.9
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
703.7
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
701.3
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
700.7
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
700.0
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
698.3
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
688.0
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
685.5
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
684.1
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
683.4
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
680.5
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
670.6
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
664.1
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
661.3
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
658.5
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
655.7
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
646.8
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
645.4
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
645.2
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
643.8
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
633.0
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
632.1
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
629.4
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
628.7
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
628.4
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
618.5
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
615.8
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
615.2
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
615.0
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
614.1
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
609.1
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
607.1
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
606.3
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
602.4
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
600.7
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
590.3
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
588.9
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
588.1
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
587.5
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
584.5
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
582.5
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
576.2
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
574.3
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
574.0
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
570.1
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
568.4
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
557.9
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
557.8
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
557.7
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
553.7
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
553.4
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
553.1
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
551.7
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
549.4
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
549.0
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
547.7
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
542.3
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
533.4
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
528.7
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
526.4
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
522.8
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
522.3
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
522.2
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
511.7
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
511.5
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
511.4
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
510.2
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
504.2
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
499.4
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
496.1
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
495.2
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
490.5
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
490.1
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
487.7
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
482.4
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
481.2
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
480.0
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
475.0
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
471.0
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
470.7
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
470.6
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
469.6
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
466.8
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
466.7
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
462.5
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
462.0
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
460.9
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
455.3
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
454.9
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
454.5
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
449.6
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
448.1
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
444.6
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
438.5
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
435.2
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
434.7
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
434.0
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
433.4
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
429.8
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
428.8
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
428.7
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
428.4
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
427.5
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
427.3
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
425.2
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
423.8
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
421.5
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
419.2
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
418.6
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
418.0
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
415.3
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
414.7
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
411.7
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
411.2
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
410.4
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
409.6
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
408.9
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
408.7
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
408.0
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
405.1
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
403.6
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
402.6
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
402.4
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
402.0
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
399.6
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
397.4
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
392.4
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
390.9
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
390.0
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
388.3
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
387.5
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
381.5
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
380.8
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
380.2
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
379.8
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
378.3
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
375.0
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
374.8
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
372.2
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
372.1
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
371.7
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
371.5
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
371.3
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
368.6
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
366.5
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
365.3
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
360.6
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
358.4
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
356.9
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
355.7
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
352.0
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
352.0
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
348.3
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
346.5
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
343.3
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
341.0
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
341.0
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
339.3
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
336.3
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
335.6
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
333.6
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
331.3
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
330.8
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
328.7
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
321.5
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
321.4
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
321.0
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
320.4
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
317.7
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
317.1
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
317.0
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
315.7
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
315.3
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
313.1
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
308.1
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
304.6
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
304.2
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
303.4
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
303.0
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
301.3
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
299.6
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
299.2
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
296.6
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
293.6
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
292.0
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
289.2
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
288.9
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
283.2
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
282.5
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
281.9
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
279.5
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
279.1
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
279.0
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
275.9
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
274.0
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
264.9
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
262.8
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
260.6
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
260.1
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
260.1
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
259.0
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
258.2
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
257.8
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
257.2
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
252.9
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
251.0
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
250.4
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
248.6
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
246.0
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
245.4
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
245.0
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
244.8
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
238.9
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
237.8
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
237.8
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
237.1
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
236.3
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
235.2
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
233.4
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
231.8
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
231.3
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
228.3
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
226.9
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
224.5
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
224.1
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
222.7
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
222.5
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
221.6
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
219.6
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
218.1
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
214.4
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
214.0
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
210.6
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
208.2
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
207.2
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
205.9
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
203.4
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
202.4
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
194.2
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
193.1
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
192.0
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
191.3
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
191.0
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
181.4
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
180.3
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
178.6
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
175.7
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
172.3
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
170.4
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
170.3
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
170.1
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
168.8
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
165.3
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
163.1
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
160.9
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
158.5
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
154.1
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
150.1
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
146.4
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
143.9
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
142.2
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
135.5
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
134.2
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
131.5
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
123.4
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
113.5
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
112.0
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
102.1
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
96.0
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
95.3
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
93.3
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
77.6
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
54.2
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
52.8
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
37.3
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
24.8
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
10.2
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
5.0
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
4.0
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
2.5
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
2.0
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1.8
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 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.
ASGR2 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.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
556.1
Number of samples
231
Samples
Sample
Description
pTPM
DO45107
63 years, female, NA, stage:2, alive, 1710 days
1658.3
DO45183
72 years, female, NA, stage:2, dead, 570 days
1572.9
DO45101
63 years, male, NA, stage:2, alive, 1680 days
1564.3
DO50811
62 years, male, NA, stage:1, alive, 450 days
1557.5
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1544.7
DO50839
47 years, female, NA, stage:3, alive, 330 days
1518.5
DO45121
61 years, male, NA, stage:3, alive, 1530 days
1436.2
DO50845
72 years, male, NA, stage:3, alive, 210 days
1434.9
DO45094
76 years, male, NA, stage:3, alive, 1650 days
1371.2
DO23516
69 years, male, NA, stage:3, dead, 20 days
1353.0
DO45179
78 years, female, NA, stage:2, alive, 600 days
1352.2
DO45096
69 years, male, NA, stage:2, dead, 1290 days
1342.1
DO45129
61 years, male, NA, stage:3, alive, 1470 days
1289.0
DO45097
69 years, male, NA, stage:3, alive, 1620 days
1237.4
DO45257
46 years, male, NA, stage:3, alive, 810 days
1224.4
DO48737
52 years, male, NA, stage:1, alive, 720 days
1202.7
DO23544
67 years, male, NA, stage:2, alive, 960 days
1171.8
DO48736
76 years, female, NA, stage:1, alive, 600 days
1136.1
DO48719
80 years, male, NA, stage:2, alive, 690 days
1127.9
DO50844
75 years, male, NA, stage:4, alive, 300 days
1125.8
DO45247
31 years, female, NA, stage:2, alive, 210 days
1108.6
DO50825
70 years, male, NA, stage:2, alive, 390 days
1102.7
DO23528
45 years, female, NA, stage:2, alive, 1020 days
1084.8
DO23548
78 years, female, NA, stage:1, alive, 840 days
1069.7
DO45203
71 years, female, NA, stage:2, alive, 1170 days
1039.0
DO45167
67 years, male, NA, stage:2, dead, 1440 days
1022.4
DO23529
72 years, male, NA, stage:4, alive, 930 days
1010.9
DO50857
72 years, male, NA, stage:2, alive, 210 days
1007.1
DO45259
65 years, male, NA, stage:3, alive, 330 days
993.7
DO45209
70 years, male, NA, stage:4, alive, 1350 days
971.3
DO45191
61 years, female, NA, stage:2, alive, 1200 days
968.2
DO227801
77 years, female, NA, stage:1, alive, 660 days
966.0
DO48674
80 years, male, NA, stage:2, alive, 1260 days
961.1
DO45215
65 years, male, NA, stage:2, alive, 1170 days
956.2
DO45095
66 years, male, NA, stage:2, alive, 1620 days
950.8
DO48695
77 years, male, NA, stage:2, alive, 720 days
941.3
DO45289
78 years, female, NA, stage:3, alive, 360 days
916.4
DO45241
49 years, male, NA, stage:1, alive, 1080 days
896.7
DO23527
72 years, male, NA, stage:1, alive, 1050 days
892.9
DO50817
75 years, male, NA, stage:2, alive, 390 days
890.9
DO50804
81 years, male, NA, stage:2, alive, 720 days
889.3
DO50815
62 years, male, NA, stage:3, alive, 150 days
887.9
DO45099
46 years, male, NA, stage:3, alive, 1590 days
877.1
DO50783
62 years, male, NA, stage:3, alive, 480 days
865.3
DO45199
86 years, female, NA, stage:2, alive, 1350 days
863.9
DO50776
75 years, male, NA, stage:1, alive, 690 days
841.9
DO50793
76 years, male, NA, stage:4, alive, 540 days
826.7
DO50818
65 years, male, NA, stage:2, alive, 510 days
826.3
DO45103
47 years, male, NA, stage:3, alive, 450 days
822.1
DO50805
72 years, male, NA, stage:2, alive, 690 days
813.7
DO45195
62 years, male, NA, stage:1, alive, 390 days
793.0
DO23508
79 years, female, NA, stage:2, alive, 390 days
789.8
DO45261
74 years, male, NA, stage:3, alive, 990 days
774.9
DO48677
58 years, male, NA, stage:3, alive, 1140 days
774.3
DO48760
70 years, female, NA, stage:2, alive, 690 days
751.9
DO23514
64 years, male, NA, stage:2, alive, 1290 days
748.5
DO48733
72 years, male, NA, stage:2, alive, 600 days
743.0
DO227643
79 years, male, NA, stage:2, alive, 1260 days
739.9
DO45105
61 years, male, NA, stage:1, alive, 1680 days
735.3
DO45141
73 years, male, NA, stage:2, alive, 1320 days
732.7
DO23531
78 years, female, NA, stage:3, alive, 900 days
722.7
DO50816
63 years, male, NA, stage:2, alive, 390 days
717.8
DO45181
84 years, female, NA, stage:2, alive, 1200 days
702.1
DO48717
54 years, male, NA, stage:4, dead, 180 days
696.3
DO23551
73 years, male, NA, stage:3, dead, 150 days
686.5
DO45177
81 years, female, NA, stage:3, alive, 1260 days
685.6
DO23517
62 years, male, NA, stage:2, alive, 1200 days
680.4
DO23538
67 years, male, NA, stage:2, alive, 450 days
678.6
DO45125
58 years, male, NA, stage:3, alive, 1680 days
676.1
DO48742
76 years, male, NA, stage:2, alive, 600 days
675.7
DO48761
55 years, male, NA, stage:2, alive, 870 days
673.9
DO45145
78 years, male, NA, stage:3, dead, 60 days
673.5
DO50802
49 years, male, NA, stage:2, alive, 930 days
670.7
DO50813
56 years, male, NA, stage:2, alive, 420 days
657.1
DO48700
78 years, female, NA, stage:2, alive, 810 days
654.3
DO45263
67 years, male, NA, stage:3, dead, 270 days
638.2
DO45231
84 years, male, NA, stage:2, alive, 930 days
633.1
DO23512
60 years, male, NA, stage:1, alive, 1260 days
626.7
DO45109
63 years, male, NA, stage:2, alive, 1590 days
625.8
DO50822
66 years, male, NA, stage:2, alive, 510 days
621.7
DO45187
32 years, female, NA, stage:1, alive, 1260 days
621.2
DO23515
71 years, male, NA, stage:2, alive, 1230 days
614.4
DO48697
64 years, female, NA, stage:2, dead, 810 days
609.0
DO50800
74 years, male, NA, stage:2, alive, 510 days
608.8
DO50855
47 years, male, NA, stage:2, alive, 570 days
601.6
DO23541
65 years, male, NA, stage:2, alive, 930 days
588.6
DO23525
71 years, male, NA, stage:4, alive, 1050 days
588.2
DO45137
38 years, male, NA, stage:1, alive, 1320 days
586.9
DO45273
62 years, male, NA, stage:2, alive, 480 days
584.9
DO45265
73 years, male, NA, stage:3, alive, 1020 days
583.2
DO23546
63 years, male, NA, stage:2, alive, 1050 days
577.2
DO45243
74 years, female, NA, stage:3, alive, 930 days
569.0
DO50820
77 years, female, NA, stage:3, alive, 510 days
562.2
DO50859
77 years, male, NA, stage:2, alive, 180 days
557.7
DO23518
67 years, male, NA, stage:2, alive, 1320 days
555.7
DO48682
72 years, female, NA, stage:3, dead, 120 days
553.4
DO23542
66 years, male, NA, stage:3, alive, 960 days
542.0
DO50814
83 years, male, NA, stage:3, alive, 420 days
533.3
DO48693
71 years, male, NA, stage:2, alive, 900 days
522.6
DO23532
71 years, female, NA, stage:1, alive, 960 days
522.4
DO45255
81 years, male, NA, stage:3, alive, 720 days
520.7
DO50789
73 years, female, NA, stage:2, alive, 570 days
514.0
DO45233
83 years, male, NA, stage:3, alive, 900 days
510.8
DO45092
62 years, male, NA, stage:4, dead, 1200 days
509.3
DO45229
74 years, male, NA, stage:1, alive, 990 days
507.3
DO45213
58 years, male, NA, stage:1, alive, 1200 days
504.3
DO45115
81 years, male, NA, stage:2, alive, 840 days
499.4
DO45251
57 years, female, NA, stage:2, alive, 900 days
495.6
DO23534
60 years, male, NA, stage:2, alive, 840 days
490.1
DO50806
70 years, male, NA, stage:4, alive, 540 days
488.0
DO45193
68 years, female, NA, stage:4, dead, 120 days
482.4
DO45139
63 years, male, NA, stage:3, alive, 1320 days
482.3
DO50785
37 years, male, NA, stage:4, dead, 90 days
476.1
DO48701
78 years, male, NA, stage:2, alive, 780 days
474.7
DO50850
74 years, male, NA, stage:3, alive, 720 days
473.8
DO48746
76 years, male, NA, stage:3, alive, 570 days
472.7
DO48723
73 years, male, NA, stage:1, alive, 600 days
467.0
DO45217
69 years, female, NA, stage:3, dead, 270 days
465.8
DO48751
68 years, male, NA, stage:2, dead, 480 days
463.0
DO23536
56 years, male, NA, stage:2, alive, 930 days
460.5
DO23511
83 years, female, NA, stage:3, dead, 180 days
459.0
DO48759
73 years, male, NA, stage:3, alive, 720 days
455.6
DO48728
74 years, female, NA, stage:2, alive, 150 days
455.3
DO23550
69 years, male, NA, stage:1, alive, 990 days
453.8
DO23510
80 years, female, NA, stage:2, alive, 870 days
452.7
DO45227
57 years, female, NA, stage:2, alive, 1020 days
451.5
DO48712
50 years, male, NA, stage:2, alive, 810 days
450.9
DO23539
77 years, male, NA, stage:1, alive, 1110 days
442.3
DO45123
78 years, female, NA, stage:2, dead, 570 days
441.7
DO23549
74 years, male, NA, stage:3, alive, 990 days
435.8
DO45267
73 years, male, NA, stage:3, dead, 570 days
426.6
DO50809
56 years, male, NA, stage:3, dead, 720 days
425.8
DO45171
56 years, male, NA, stage:3, alive, 600 days
425.8
DO48725
66 years, male, NA, stage:1, alive, 780 days
423.1
DO45173
63 years, male, NA, stage:3, alive, 1170 days
423.1
DO23545
67 years, male, NA, stage:2, dead, 570 days
416.7
DO45153
77 years, female, NA, stage:2, alive, 1380 days
410.8
DO45235
68 years, female, NA, stage:1, alive, 900 days
409.3
DO45239
42 years, male, NA, stage:2, alive, 870 days
404.2
DO45269
59 years, male, NA, stage:3, alive, 750 days
402.8
DO45133
64 years, male, NA, stage:3, dead, 660 days
402.2
DO23535
67 years, male, NA, stage:1, alive, 960 days
394.8
DO50840
49 years, male, NA, stage:2, alive, 330 days
387.0
DO45135
77 years, male, NA, stage:1, alive, 1410 days
382.1
DO45111
74 years, male, NA, stage:2, alive, 1590 days
378.2
DO45143
69 years, male, NA, stage:3, alive, 1290 days
375.7
DO45165
75 years, male, NA, stage:2, alive, 690 days
374.9
DO23533
61 years, male, NA, stage:2, alive, 900 days
374.0
DO45161
74 years, male, NA, stage:2, dead, 540 days
369.5
DO23552
80 years, female, NA, stage:1, alive, 810 days
363.6
DO45207
68 years, male, NA, stage:1, alive, 1050 days
362.7
DO50798
77 years, male, NA, stage:3, dead, 30 days
358.7
DO45219
78 years, male, NA, stage:2, alive, 1080 days
358.4
DO48730
73 years, female, NA, stage:2, alive, 630 days
356.9
DO45185
89 years, male, NA, stage:2, alive, 600 days
348.8
DO23540
73 years, male, NA, stage:1, alive, 750 days
347.0
DO48706
72 years, male, NA, stage:2, alive, 870 days
346.4
DO23543
63 years, male, NA, stage:2, alive, 1020 days
343.6
DO48681
57 years, male, NA, stage:2, alive, 900 days
343.1
DO45281
83 years, male, NA, stage:4, alive, 750 days
342.1
DO45201
49 years, male, NA, stage:1, alive, 900 days
336.0
DO48720
62 years, female, NA, stage:2, alive, 570 days
332.8
DO50807
67 years, male, NA, stage:1, alive, 540 days
330.9
DO50791
79 years, female, NA, stage:1, dead, 480 days
327.0
DO45127
73 years, male, NA, stage:3, dead, 420 days
325.4
DO50808
68 years, male, NA, stage:2, alive, 570 days
324.7
DO48741
64 years, male, NA, stage:3, alive, 240 days
322.9
DO45169
74 years, male, NA, stage:3, alive, 1350 days
322.5
DO23524
71 years, female, NA, stage:2, alive, 1050 days
318.9
DO45163
76 years, male, NA, stage:2, alive, 960 days
318.1
DO48727
81 years, female, NA, stage:2, dead, 390 days
314.8
DO23537
79 years, male, NA, stage:2, dead, 900 days
312.1
DO23521
63 years, male, NA, stage:3, alive, 1110 days
311.0
DO45093
71 years, male, NA, stage:2, dead, 720 days
301.6
DO48716
71 years, male, NA, stage:2, alive, 720 days
299.6
DO50778
60 years, male, NA, stage:4, alive, 630 days
296.2
DO45113
58 years, male, NA, stage:3, alive, 1560 days
293.7
DO45189
85 years, female, NA, stage:2, alive, 1200 days
292.1
DO48679
72 years, male, NA, stage:2, alive, 1200 days
291.8
DO48743
69 years, female, NA, stage:2, alive, 570 days
290.3
DO45253
50 years, male, NA, stage:2, alive, 870 days
288.7
DO45155
69 years, male, NA, stage:2, alive, 2160 days
287.4
DO50787
63 years, male, NA, stage:3, alive, 480 days
283.8
DO48715
58 years, female, NA, stage:2, dead, 690 days
280.6
DO50799
66 years, female, NA, stage:2, alive, 540 days
280.1
DO48732
73 years, male, NA, stage:3, alive, 630 days
279.7
DO45205
67 years, female, NA, stage:2, dead, 90 days
278.0
DO45221
75 years, female, NA, stage:4, dead, 390 days
278.0
DO45157
62 years, male, NA, stage:2, alive, 1980 days
276.3
DO45119
74 years, male, NA, stage:3, dead, 510 days
276.2
DO48672
81 years, male, NA, stage:2, alive, 450 days
270.7
DO45091
56 years, male, NA, stage:2, dead, 1320 days
268.2
DO50819
72 years, female, NA, stage:2, alive, 510 days
263.3
DO23526
66 years, male, NA, stage:3, alive, 1050 days
258.8
DO45149
70 years, female, NA, stage:2, alive, 1260 days
255.6
DO50803
62 years, female, NA, stage:1, alive, 540 days
255.5
DO45223
67 years, male, NA, stage:4, alive, 1020 days
245.0
DO23547
74 years, male, NA, stage:1, alive, 1020 days
242.9
DO48757
68 years, female, NA, stage:3, alive, 480 days
239.7
DO45131
53 years, male, NA, stage:4, dead, 360 days
238.2
DO45237
58 years, male, NA, stage:2, alive, 900 days
225.3
DO50774
68 years, female, NA, stage:2, alive, 720 days
224.8
DO45117
73 years, female, NA, stage:2, dead, 1110 days
219.7
DO48721
58 years, female, NA, stage:1, alive, 900 days
212.7
DO23519
65 years, male, NA, stage:3, alive, 630 days
208.8
DO45175
74 years, male, NA, stage:2, alive, 1140 days
207.3
DO45197
51 years, male, NA, stage:2, alive, 1170 days
184.7
DO45225
69 years, male, NA, stage:1, alive, 1050 days
182.0
DO48704
68 years, female, NA, stage:3, alive, 750 days
175.7
DO23513
76 years, male, NA, stage:3, alive, 1200 days
173.9
DO23530
53 years, male, NA, stage:4, dead, 180 days
171.3
DO50832
73 years, male, NA, stage:3, alive, 90 days
155.2
DO23509
60 years, male, NA, stage:3, dead, 780 days
151.2
DO45275
65 years, male, NA, stage:3, dead, 10 days
109.4
DO45301
56 years, male, NA, stage:2, dead, 1440 days
106.5
DO45249
57 years, male, NA, stage:1, alive, 630 days
102.5
DO48747
62 years, male, NA, stage:3, alive, 540 days
101.7
DO50829
78 years, male, NA, stage:3, alive, 570 days
88.4
DO45303
62 years, female, NA, stage:3, alive, 990 days
41.4
DO45287
74 years, male, NA, stage:1, alive, 390 days
29.8
DO45305
66 years, male, NA, stage:4, alive, 300 days
29.4
DO45283
60 years, male, NA, stage:3, alive, 510 days
19.9
DO45307
54 years, female, NA, stage:4, dead, 240 days
16.9
DO45279
67 years, male, NA, stage:3, alive, 1290 days
10.2
DO45285
59 years, male, NA, stage:3, alive, 480 days
9.1
DO45277
64 years, male, NA, stage:3, alive, 600 days
4.2
DO23523
52 years, male, NA, stage:3, alive, 1080 days
4.1
DO45299
70 years, female, NA, stage:1, alive, 1440 days
2.7
DO45297
61 years, female, NA, stage:4, dead, 1260 days
2.0
DO45245
75 years, female, NA, stage:2, dead, 240 days
1.2
DO45211
76 years, male, NA, stage:3, alive, 240 days
0.7
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LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
425
Tumor
1.2
937
Tumor
1.2
618
Normal
0.8
356
Normal
0.8
746
Normal
0.8
721
Tumor
0.7
698
Normal
0.7
636
Normal
0.7
128
Normal
0.7
186
Normal
0.7
426
Normal
0.7
472
Normal
0.7
778
Normal
0.7
286
Normal
0.7
452
Normal
0.7
131
Tumor
0.7
858
Normal
0.6
864
Normal
0.6
436
Normal
0.6
358
Normal
0.6
568
Normal
0.6
285
Tumor
0.6
664
Normal
0.6
1016
Normal
0.6
526
Normal
0.6
463
Tumor
0.6
648
Normal
0.6
564
Normal
0.6
815
Tumor
0.6
553
Tumor
0.6
742
Normal
0.6
414
Normal
0.6
227
Tumor
0.6
132
Normal
0.6
738
Normal
0.6
196
Normal
0.6
332
Normal
0.6
1028
Normal
0.6
474
Normal
0.5
428
Normal
0.5
368
Normal
0.5
462
Normal
0.5
422
Normal
0.5
342
Normal
0.5
1031
Tumor
0.5
662
Normal
0.5
628
Normal
0.5
376
Normal
0.5
466
Normal
0.5
484
Normal
0.5
558
Normal
0.5
813
Tumor
0.5
482
Normal
0.5
388
Normal
0.5
824
Normal
0.5
1046
Normal
0.5
723
Tumor
0.5
258
Normal
0.5
918
Normal
0.5
981
Tumor
0.5
223
Tumor
0.5
222
Normal
0.5
866
Normal
0.4
228
Normal
0.4
218
Normal
0.4
278
Normal
0.4
818
Normal
0.4
528
Normal
0.4
546
Normal
0.4
554
Normal
0.4
523
Tumor
0.4
666
Normal
0.4
572
Normal
0.4
728
Normal
0.4
722
Normal
0.4
862
Normal
0.4
518
Normal
0.4
362
Normal
0.4
696
Normal
0.4
1026
Normal
0.4
672
Normal
0.4
464
Normal
0.4
396
Normal
0.4
1044
Normal
0.4
737
Tumor
0.4
114
Normal
0.4
882
Normal
0.4
964
Normal
0.4
686
Normal
0.4
446
Normal
0.4
111
Normal
0.4
471
Tumor
0.4
412
Normal
0.4
314
Normal
0.4
938
Normal
0.4
416
Normal
0.4
616
Normal
0.4
968
Normal
0.4
878
Normal
0.4
955
Tumor
0.4
123
Tumor
0.4
574
Normal
0.4
494
Normal
0.4
221
Tumor
0.4
952
Normal
0.4
984
Normal
0.4
975
Tumor
0.4
912
Normal
0.3
534
Normal
0.3
922
Normal
0.3
124
Normal
0.3
148
Normal
0.3
138
Normal
0.3
352
Normal
0.3
956
Normal
0.3
816
Normal
0.3
142
Normal
0.3
527
Tumor
0.3
284
Normal
0.3
392
Normal
0.3
212
Normal
0.3
982
Normal
0.3
448
Normal
0.3
914
Normal
0.3
328
Normal
0.3
1022
Normal
0.3
744
Normal
0.3
868
Normal
0.3
424
Normal
0.3
488
Normal
0.3
394
Normal
0.3
642
Normal
0.3
497
Tumor
0.3
364
Normal
0.3
1032
Normal
0.3
514
Normal
0.3
884
Normal
0.3
786
Normal
0.3
468
Normal
0.3
983
Tumor
0.3
126
Normal
0.3
214
Normal
0.3
524
Normal
0.3
851
Tumor
0.3
298
Normal
0.3
713
Tumor
0.3
1043
Tumor
0.3
515
Tumor
0.2
354
Normal
0.2
873
Tumor
0.2
924
Normal
0.2
363
Tumor
0.2
714
Normal
0.2
413
Tumor
0.2
162
Normal
0.2
1014
Normal
0.2
456
Normal
0.2
715
Tumor
0.2
665
Tumor
0.2
743
Tumor
0.2
635
Tumor
0.2
966
Normal
0.2
944
Normal
0.2
172
Normal
0.2
432
Normal
0.2
411
Tumor
0.2
232
Normal
0.2
136
Normal
0.2
272
Normal
0.2
481
Tumor
0.2
271
Tumor
0.2
1042
Normal
0.2
874
Normal
0.2
716
Normal
0.2
187
Tumor
0.2
756
Normal
0.2
113
Tumor
0.2
1025
Tumor
0.2
516
Normal
0.1
262
Normal
0.1
443
Tumor
0.1
863
Tumor
0.1
852
Normal
0.1
814
Normal
0.1
745
Tumor
0.1
188
Normal
0.1
921
Tumor
0.1
926
Normal
0.1
976
Normal
0.1
915
Tumor
0.1
517
Tumor
0.1
877
Tumor
0.1
366
Normal
0.1
386
Normal
0.1
967
Tumor
0.1
958
Normal
0.1
538
Normal
0.1
431
Tumor
0.0
384
Normal
0.0
916
Normal
0.0
954
Normal
0.0
268
Normal
0.0
823
Tumor
0.0
312
Normal
0.0
145
Tumor
0.0
1021
Tumor
0.0
641
Tumor
0.0
191
Tumor
0.0
344
Normal
0.0
492
Normal
0.0
434
Normal
0.0
777
Tumor
0.0
277
Tumor
0.0
444
Normal
0.0
881
Tumor
0.0
353
Tumor
0.0
261
Tumor
0.0
435
Tumor
0.0
978
Normal
0.0
865
Tumor
0.0
557
Tumor
-0.1
617
Tumor
-0.1
977
Tumor
-0.1
433
Tumor
-0.1
387
Tumor
-0.1
146
Normal
-0.1
217
Tumor
-0.1
477
Tumor
-0.1
647
Tumor
-0.1
112
Tumor
-0.1
447
Tumor
-0.2
755
Tumor
-0.2
224
Normal
-0.2
957
Tumor
-0.2
341
Tumor
-0.2
421
Tumor
-0.2
545
Tumor
-0.2
451
Tumor
-0.2
487
Tumor
-0.3
478
Normal
-0.3
883
Tumor
-0.3
861
Tumor
-0.3
963
Tumor
-0.3
467
Tumor
-0.3
627
Tumor
-0.3
365
Tumor
-0.3
536
Normal
-0.4
135
Tumor
-0.4
147
Tumor
-0.4
331
Tumor
-0.4
327
Tumor
-0.4
415
Tumor
-0.4
1045
Tumor
-0.4
383
Tumor
-0.4
563
Tumor
-0.4
951
Tumor
-0.4
465
Tumor
-0.4
817
Tumor
-0.4
498
Normal
-0.4
195
Tumor
-0.4
393
Tumor
-0.4
911
Tumor
-0.5
461
Tumor
-0.5
423
Tumor
-0.5
171
Tumor
-0.5
185
Tumor
-0.5
445
Tumor
-0.5
671
Tumor
-0.5
127
Tumor
-0.5
857
Tumor
-0.5
785
Tumor
-0.5
533
Tumor
-0.5
567
Tumor
-0.5
685
Tumor
-0.5
537
Tumor
-0.6
192
Normal
-0.6
923
Tumor
-0.6
571
Tumor
-0.6
493
Tumor
-0.6
695
Tumor
-0.6
351
Tumor
-0.6
615
Tumor
-0.6
661
Tumor
-0.6
867
Tumor
-0.6
483
Tumor
-0.7
361
Tumor
-0.7
741
Tumor
-0.7
213
Tumor
-0.7
913
Tumor
-0.7
137
Tumor
-0.7
965
Tumor
-0.7
697
Tumor
-0.7
297
Tumor
-0.7
525
Tumor
-0.8
267
Tumor
-0.8
513
Tumor
-0.8
455
Tumor
-0.8
573
Tumor
-0.8
1041
Tumor
-0.8
125
Tumor
-0.9
943
Tumor
-0.9
357
Tumor
-0.9
355
Tumor
-0.9
343
Tumor
-0.9
257
Tumor
-0.9
491
Tumor
-0.9
231
Tumor
-0.9
925
Tumor
-0.9
391
Tumor
-1.0
141
Tumor
-1.0
727
Tumor
-1.0
917
Tumor
-1.0
473
Tumor
-1.1
161
Tumor
-1.1
367
Tumor
-1.1
535
Tumor
-1.1
1015
Tumor
-1.1
395
Tumor
-1.1
1027
Tumor
-1.2
663
Tumor
-1.2
724
Normal
-1.2
313
Tumor
-1.2
1013
Tumor
-1.3
427
Tumor
-1.3
953
Tumor
-1.4
385
Tumor
-1.6
283
Tumor
-1.9
375
Tumor
-2.0
311
Tumor
-2.1
211
Tumor
-2.3
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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.
The Human Protein Atlas project is funded
