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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.
CD81 is not prognostic 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
473.2
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
2078.8
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
1626.8
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
1279.4
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
1249.0
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
1223.5
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
1174.8
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
1147.8
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
1111.5
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1096.8
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
1086.8
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
1054.3
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
1053.0
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
1036.3
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
1004.5
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
992.7
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
988.8
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
979.9
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
972.3
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
966.6
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
962.6
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
959.3
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
958.9
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
942.8
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
926.2
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
903.7
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
902.9
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
900.9
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
896.8
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
896.7
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
896.3
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
888.1
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
886.8
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
884.7
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
860.6
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
859.1
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
852.1
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
849.5
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
847.4
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
831.1
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
830.7
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
830.5
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
827.5
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
824.7
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
824.0
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
815.3
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
795.0
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
791.9
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
790.4
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
789.4
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
786.7
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
776.2
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
770.5
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
765.8
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
763.3
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
753.5
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
752.5
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
752.2
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
748.9
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
742.9
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
742.1
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
741.5
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
739.0
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
726.9
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
722.2
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
720.3
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
719.8
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
715.8
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
707.8
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
703.3
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
698.3
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
685.7
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
680.4
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
673.8
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
673.1
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
669.5
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
668.3
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
667.8
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
667.1
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
665.0
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
664.7
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
661.6
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
656.4
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
654.1
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
645.7
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
641.1
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
638.4
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
636.1
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
633.2
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
630.4
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
628.3
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
627.7
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
626.2
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
626.2
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
626.1
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
625.6
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
623.6
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
620.4
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
618.3
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
615.7
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
609.2
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
596.6
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
591.8
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
591.2
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
576.2
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
576.1
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
575.9
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
575.9
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
574.6
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
566.3
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
564.2
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
562.9
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
562.7
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
560.7
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
558.6
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
558.3
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
554.0
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
553.8
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
550.1
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
548.6
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
545.6
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
543.1
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
542.6
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
540.9
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
539.9
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
538.5
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
538.1
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
537.0
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
535.5
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
535.4
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
535.1
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
532.3
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
531.9
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
526.7
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
525.3
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
523.8
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
522.6
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
518.7
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
516.6
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
515.2
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
514.0
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
512.7
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
505.0
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
503.1
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
501.5
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
497.4
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
497.0
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
495.5
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
489.2
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
487.0
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
483.8
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
481.0
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
480.8
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
480.1
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
478.7
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
473.8
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
472.4
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
469.7
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
464.8
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
459.5
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
455.4
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
454.9
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
453.7
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
452.1
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
451.7
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
451.3
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
449.1
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
448.9
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
445.3
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
444.1
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
444.0
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
443.7
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
442.4
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
435.5
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
434.9
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
434.4
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
431.9
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
429.0
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
428.5
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
427.6
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
425.5
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
424.7
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
423.7
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
419.9
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
415.5
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
413.8
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
412.9
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
411.8
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
411.5
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
410.7
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
406.2
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
400.8
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
398.9
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
397.3
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
395.9
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
395.8
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
395.0
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
393.3
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
392.1
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
389.1
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
388.4
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
386.1
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
385.0
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
384.9
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
384.1
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
384.1
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
382.8
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
382.3
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
381.2
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
379.1
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
378.3
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
377.9
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
373.2
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
371.6
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
371.3
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
366.9
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
366.0
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
365.8
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
364.8
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
363.5
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
362.3
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
358.1
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
357.6
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
357.5
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
356.9
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
355.6
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
355.5
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
353.2
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
350.9
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
348.4
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
347.6
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
341.5
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
341.2
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
338.9
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
338.3
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
334.7
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
334.3
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
334.3
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
333.9
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
333.3
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
329.0
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
327.0
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
324.9
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
324.3
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
322.4
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
321.9
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
317.6
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
316.2
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
313.6
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
308.6
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
308.6
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
308.4
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
307.7
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
306.6
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
305.0
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
304.0
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
303.5
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
302.8
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
301.1
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
298.4
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
296.5
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
294.1
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
290.7
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
289.8
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
287.9
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
287.6
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
287.4
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
286.6
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
285.0
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
283.3
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
282.9
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
282.6
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
279.4
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
277.9
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
274.9
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
274.4
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
273.0
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
272.3
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
269.5
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
269.5
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
268.2
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
265.4
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
262.6
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
256.9
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
251.9
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
251.0
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
250.3
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
246.3
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
246.3
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
243.1
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
241.8
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
240.6
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
235.1
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
232.0
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
230.7
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
227.7
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
227.7
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
227.4
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
226.8
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
226.6
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
226.2
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
222.0
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
219.9
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
219.7
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
218.7
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
218.0
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
215.9
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
215.3
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
215.0
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
214.4
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
214.1
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
200.7
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
199.3
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
194.2
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
192.9
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
191.6
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
189.5
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
182.9
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
178.5
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
175.1
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
174.1
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
174.0
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
171.5
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
170.0
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
160.9
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
159.6
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
156.9
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
152.1
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
151.0
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
150.1
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
147.4
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
141.8
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
141.7
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
139.9
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
138.1
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
127.1
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
124.0
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
122.9
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
122.9
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
122.7
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
120.7
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
118.0
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
111.0
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
106.8
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
104.9
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
103.6
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
97.6
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
96.0
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
85.7
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
83.7
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
83.7
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
81.6
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
80.6
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
77.3
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
72.6
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
72.1
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
60.0
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
59.7
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
51.1
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
44.4
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
38.6
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
31.2
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 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.
CD81 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
419.9
Number of samples
231
Samples
Sample
Description
pTPM
DO45283
60 years, male, NA, stage:3, alive, 510 days
1398.9
DO45097
69 years, male, NA, stage:3, alive, 1620 days
1305.6
DO23530
53 years, male, NA, stage:4, dead, 180 days
1241.1
DO45277
64 years, male, NA, stage:3, alive, 600 days
1215.7
DO50829
78 years, male, NA, stage:3, alive, 570 days
1199.0
DO48746
76 years, male, NA, stage:3, alive, 570 days
1080.2
DO45249
57 years, male, NA, stage:1, alive, 630 days
1014.4
DO48677
58 years, male, NA, stage:3, alive, 1140 days
952.1
DO45171
56 years, male, NA, stage:3, alive, 600 days
928.7
DO23513
76 years, male, NA, stage:3, alive, 1200 days
920.4
DO45307
54 years, female, NA, stage:4, dead, 240 days
914.1
DO23523
52 years, male, NA, stage:3, alive, 1080 days
888.6
DO50832
73 years, male, NA, stage:3, alive, 90 days
860.6
DO45155
69 years, male, NA, stage:2, alive, 2160 days
858.6
DO23511
83 years, female, NA, stage:3, dead, 180 days
835.9
DO45207
68 years, male, NA, stage:1, alive, 1050 days
832.4
DO23535
67 years, male, NA, stage:1, alive, 960 days
812.6
DO50839
47 years, female, NA, stage:3, alive, 330 days
797.5
DO48701
78 years, male, NA, stage:2, alive, 780 days
786.5
DO48747
62 years, male, NA, stage:3, alive, 540 days
779.3
DO45223
67 years, male, NA, stage:4, alive, 1020 days
779.0
DO50825
70 years, male, NA, stage:2, alive, 390 days
770.3
DO45303
62 years, female, NA, stage:3, alive, 990 days
748.4
DO48712
50 years, male, NA, stage:2, alive, 810 days
745.2
DO45181
84 years, female, NA, stage:2, alive, 1200 days
743.2
DO45245
75 years, female, NA, stage:2, dead, 240 days
740.0
DO48741
64 years, male, NA, stage:3, alive, 240 days
731.9
DO50817
75 years, male, NA, stage:2, alive, 390 days
720.3
DO45095
66 years, male, NA, stage:2, alive, 1620 days
709.1
DO45109
63 years, male, NA, stage:2, alive, 1590 days
706.3
DO45111
74 years, male, NA, stage:2, alive, 1590 days
694.1
DO23516
69 years, male, NA, stage:3, dead, 20 days
677.5
DO23532
71 years, female, NA, stage:1, alive, 960 days
676.2
DO48719
80 years, male, NA, stage:2, alive, 690 days
670.1
DO45092
62 years, male, NA, stage:4, dead, 1200 days
659.3
DO45251
57 years, female, NA, stage:2, alive, 900 days
657.2
DO45299
70 years, female, NA, stage:1, alive, 1440 days
651.0
DO45215
65 years, male, NA, stage:2, alive, 1170 days
650.9
DO45153
77 years, female, NA, stage:2, alive, 1380 days
650.8
DO48759
73 years, male, NA, stage:3, alive, 720 days
647.1
DO50800
74 years, male, NA, stage:2, alive, 510 days
636.3
DO45259
65 years, male, NA, stage:3, alive, 330 days
628.7
DO50804
81 years, male, NA, stage:2, alive, 720 days
624.0
DO45115
81 years, male, NA, stage:2, alive, 840 days
622.5
DO45139
63 years, male, NA, stage:3, alive, 1320 days
615.1
DO45103
47 years, male, NA, stage:3, alive, 450 days
612.3
DO45287
74 years, male, NA, stage:1, alive, 390 days
606.4
DO45229
74 years, male, NA, stage:1, alive, 990 days
601.6
DO45305
66 years, male, NA, stage:4, alive, 300 days
592.5
DO45275
65 years, male, NA, stage:3, dead, 10 days
591.0
DO23531
78 years, female, NA, stage:3, alive, 900 days
583.7
DO45201
49 years, male, NA, stage:1, alive, 900 days
577.3
DO45267
73 years, male, NA, stage:3, dead, 570 days
572.1
DO45233
83 years, male, NA, stage:3, alive, 900 days
566.6
DO23514
64 years, male, NA, stage:2, alive, 1290 days
563.4
DO45177
81 years, female, NA, stage:3, alive, 1260 days
555.2
DO45289
78 years, female, NA, stage:3, alive, 360 days
551.5
DO50787
63 years, male, NA, stage:3, alive, 480 days
546.0
DO45189
85 years, female, NA, stage:2, alive, 1200 days
545.3
DO48697
64 years, female, NA, stage:2, dead, 810 days
543.1
DO45281
83 years, male, NA, stage:4, alive, 750 days
538.8
DO48743
69 years, female, NA, stage:2, alive, 570 days
536.6
DO50783
62 years, male, NA, stage:3, alive, 480 days
529.5
DO45195
62 years, male, NA, stage:1, alive, 390 days
524.5
DO45131
53 years, male, NA, stage:4, dead, 360 days
521.7
DO48674
80 years, male, NA, stage:2, alive, 1260 days
519.9
DO45169
74 years, male, NA, stage:3, alive, 1350 days
515.8
DO45205
67 years, female, NA, stage:2, dead, 90 days
511.2
DO45211
76 years, male, NA, stage:3, alive, 240 days
510.3
DO23547
74 years, male, NA, stage:1, alive, 1020 days
506.0
DO48720
62 years, female, NA, stage:2, alive, 570 days
502.9
DO50850
74 years, male, NA, stage:3, alive, 720 days
500.1
DO50811
62 years, male, NA, stage:1, alive, 450 days
495.9
DO227643
79 years, male, NA, stage:2, alive, 1260 days
495.1
DO48737
52 years, male, NA, stage:1, alive, 720 days
485.3
DO50819
72 years, female, NA, stage:2, alive, 510 days
476.9
DO23542
66 years, male, NA, stage:3, alive, 960 days
476.3
DO48672
81 years, male, NA, stage:2, alive, 450 days
474.6
DO45285
59 years, male, NA, stage:3, alive, 480 days
473.3
DO23539
77 years, male, NA, stage:1, alive, 1110 days
470.4
DO45129
61 years, male, NA, stage:3, alive, 1470 days
470.2
DO45093
71 years, male, NA, stage:2, dead, 720 days
466.2
DO45297
61 years, female, NA, stage:4, dead, 1260 days
463.4
DO23544
67 years, male, NA, stage:2, alive, 960 days
457.9
DO45243
74 years, female, NA, stage:3, alive, 930 days
453.5
DO50808
68 years, male, NA, stage:2, alive, 570 days
449.3
DO45301
56 years, male, NA, stage:2, dead, 1440 days
445.1
DO23551
73 years, male, NA, stage:3, dead, 150 days
443.0
DO48700
78 years, female, NA, stage:2, alive, 810 days
442.4
DO50776
75 years, male, NA, stage:1, alive, 690 days
436.6
DO23549
74 years, male, NA, stage:3, alive, 990 days
436.0
DO23527
72 years, male, NA, stage:1, alive, 1050 days
435.8
DO23543
63 years, male, NA, stage:2, alive, 1020 days
435.2
DO45255
81 years, male, NA, stage:3, alive, 720 days
431.8
DO48716
71 years, male, NA, stage:2, alive, 720 days
431.5
DO23512
60 years, male, NA, stage:1, alive, 1260 days
431.5
DO23534
60 years, male, NA, stage:2, alive, 840 days
430.6
DO23540
73 years, male, NA, stage:1, alive, 750 days
428.9
DO48693
71 years, male, NA, stage:2, alive, 900 days
425.4
DO23548
78 years, female, NA, stage:1, alive, 840 days
425.2
DO45279
67 years, male, NA, stage:3, alive, 1290 days
424.0
DO48732
73 years, male, NA, stage:3, alive, 630 days
423.7
DO50816
63 years, male, NA, stage:2, alive, 390 days
417.5
DO45231
84 years, male, NA, stage:2, alive, 930 days
416.8
DO50805
72 years, male, NA, stage:2, alive, 690 days
416.7
DO48736
76 years, female, NA, stage:1, alive, 600 days
415.3
DO45141
73 years, male, NA, stage:2, alive, 1320 days
415.3
DO45157
62 years, male, NA, stage:2, alive, 1980 days
414.5
DO45165
75 years, male, NA, stage:2, alive, 690 days
414.1
DO45099
46 years, male, NA, stage:3, alive, 1590 days
413.6
DO50803
62 years, female, NA, stage:1, alive, 540 days
413.6
DO50793
76 years, male, NA, stage:4, alive, 540 days
409.0
DO48679
72 years, male, NA, stage:2, alive, 1200 days
408.5
DO23519
65 years, male, NA, stage:3, alive, 630 days
405.5
DO50806
70 years, male, NA, stage:4, alive, 540 days
404.5
DO23517
62 years, male, NA, stage:2, alive, 1200 days
403.2
DO45253
50 years, male, NA, stage:2, alive, 870 days
397.2
DO50840
49 years, male, NA, stage:2, alive, 330 days
396.5
DO50818
65 years, male, NA, stage:2, alive, 510 days
394.9
DO45135
77 years, male, NA, stage:1, alive, 1410 days
392.1
DO45213
58 years, male, NA, stage:1, alive, 1200 days
390.3
DO50791
79 years, female, NA, stage:1, dead, 480 days
386.8
DO45125
58 years, male, NA, stage:3, alive, 1680 days
385.6
DO50813
56 years, male, NA, stage:2, alive, 420 days
382.7
DO50774
68 years, female, NA, stage:2, alive, 720 days
381.8
DO45137
38 years, male, NA, stage:1, alive, 1320 days
381.7
DO227801
77 years, female, NA, stage:1, alive, 660 days
380.1
DO48742
76 years, male, NA, stage:2, alive, 600 days
363.5
DO23529
72 years, male, NA, stage:4, alive, 930 days
362.8
DO45094
76 years, male, NA, stage:3, alive, 1650 days
360.6
DO50822
66 years, male, NA, stage:2, alive, 510 days
359.9
DO45273
62 years, male, NA, stage:2, alive, 480 days
358.2
DO45101
63 years, male, NA, stage:2, alive, 1680 days
357.8
DO23510
80 years, female, NA, stage:2, alive, 870 days
349.0
DO45143
69 years, male, NA, stage:3, alive, 1290 days
348.1
DO48760
70 years, female, NA, stage:2, alive, 690 days
345.4
DO50814
83 years, male, NA, stage:3, alive, 420 days
343.8
DO45239
42 years, male, NA, stage:2, alive, 870 days
343.5
DO45161
74 years, male, NA, stage:2, dead, 540 days
336.0
DO48757
68 years, female, NA, stage:3, alive, 480 days
327.7
DO50809
56 years, male, NA, stage:3, dead, 720 days
325.6
DO48717
54 years, male, NA, stage:4, dead, 180 days
323.9
DO50778
60 years, male, NA, stage:4, alive, 630 days
319.5
DO23541
65 years, male, NA, stage:2, alive, 930 days
317.0
DO45235
68 years, female, NA, stage:1, alive, 900 days
315.1
DO48733
72 years, male, NA, stage:2, alive, 600 days
315.0
DO23536
56 years, male, NA, stage:2, alive, 930 days
314.7
DO45225
69 years, male, NA, stage:1, alive, 1050 days
314.4
DO50807
67 years, male, NA, stage:1, alive, 540 days
312.5
DO45113
58 years, male, NA, stage:3, alive, 1560 days
310.4
DO50802
49 years, male, NA, stage:2, alive, 930 days
308.5
DO48723
73 years, male, NA, stage:1, alive, 600 days
297.6
DO48727
81 years, female, NA, stage:2, dead, 390 days
296.3
DO45227
57 years, female, NA, stage:2, alive, 1020 days
296.1
DO48728
74 years, female, NA, stage:2, alive, 150 days
295.9
DO50855
47 years, male, NA, stage:2, alive, 570 days
293.0
DO45261
74 years, male, NA, stage:3, alive, 990 days
290.3
DO45163
76 years, male, NA, stage:2, alive, 960 days
289.6
DO48761
55 years, male, NA, stage:2, alive, 870 days
284.9
DO23525
71 years, male, NA, stage:4, alive, 1050 days
276.8
DO45149
70 years, female, NA, stage:2, alive, 1260 days
273.7
DO50859
77 years, male, NA, stage:2, alive, 180 days
265.2
DO45167
67 years, male, NA, stage:2, dead, 1440 days
263.3
DO50798
77 years, male, NA, stage:3, dead, 30 days
259.4
DO45219
78 years, male, NA, stage:2, alive, 1080 days
256.0
DO45257
46 years, male, NA, stage:3, alive, 810 days
255.8
DO23533
61 years, male, NA, stage:2, alive, 900 days
251.3
DO45193
68 years, female, NA, stage:4, dead, 120 days
248.6
DO23515
71 years, male, NA, stage:2, alive, 1230 days
248.6
DO23524
71 years, female, NA, stage:2, alive, 1050 days
245.8
DO23538
67 years, male, NA, stage:2, alive, 450 days
244.2
DO48704
68 years, female, NA, stage:3, alive, 750 days
237.8
DO45119
74 years, male, NA, stage:3, dead, 510 days
236.4
DO45127
73 years, male, NA, stage:3, dead, 420 days
235.6
DO50789
73 years, female, NA, stage:2, alive, 570 days
227.5
DO50799
66 years, female, NA, stage:2, alive, 540 days
223.7
DO45159
65 years, male, NA, stage:3, alive, 1470 days
223.0
DO45241
49 years, male, NA, stage:1, alive, 1080 days
217.1
DO45175
74 years, male, NA, stage:2, alive, 1140 days
216.7
DO45263
67 years, male, NA, stage:3, dead, 270 days
214.4
DO45197
51 years, male, NA, stage:2, alive, 1170 days
214.2
DO23526
66 years, male, NA, stage:3, alive, 1050 days
213.0
DO48751
68 years, male, NA, stage:2, dead, 480 days
212.9
DO45107
63 years, female, NA, stage:2, alive, 1710 days
207.9
DO45121
61 years, male, NA, stage:3, alive, 1530 days
205.9
DO45185
89 years, male, NA, stage:2, alive, 600 days
202.1
DO45203
71 years, female, NA, stage:2, alive, 1170 days
199.8
DO45187
32 years, female, NA, stage:1, alive, 1260 days
193.8
DO45133
64 years, male, NA, stage:3, dead, 660 days
191.7
DO23521
63 years, male, NA, stage:3, alive, 1110 days
191.4
DO45247
31 years, female, NA, stage:2, alive, 210 days
190.6
DO45269
59 years, male, NA, stage:3, alive, 750 days
188.4
DO50785
37 years, male, NA, stage:4, dead, 90 days
187.8
DO23528
45 years, female, NA, stage:2, alive, 1020 days
183.8
DO45091
56 years, male, NA, stage:2, dead, 1320 days
173.8
DO48681
57 years, male, NA, stage:2, alive, 900 days
169.0
DO45221
75 years, female, NA, stage:4, dead, 390 days
161.7
DO48725
66 years, male, NA, stage:1, alive, 780 days
161.6
DO23518
67 years, male, NA, stage:2, alive, 1320 days
160.3
DO23508
79 years, female, NA, stage:2, alive, 390 days
157.7
DO23546
63 years, male, NA, stage:2, alive, 1050 days
154.9
DO23552
80 years, female, NA, stage:1, alive, 810 days
145.4
DO48730
73 years, female, NA, stage:2, alive, 630 days
143.0
DO45123
78 years, female, NA, stage:2, dead, 570 days
142.8
DO23550
69 years, male, NA, stage:1, alive, 990 days
139.0
DO48682
72 years, female, NA, stage:3, dead, 120 days
137.8
DO50844
75 years, male, NA, stage:4, alive, 300 days
132.9
DO50857
72 years, male, NA, stage:2, alive, 210 days
132.7
DO45217
69 years, female, NA, stage:3, dead, 270 days
130.3
DO45237
58 years, male, NA, stage:2, alive, 900 days
129.4
DO45117
73 years, female, NA, stage:2, dead, 1110 days
116.3
DO23537
79 years, male, NA, stage:2, dead, 900 days
109.9
DO45179
78 years, female, NA, stage:2, alive, 600 days
104.3
DO48695
77 years, male, NA, stage:2, alive, 720 days
89.1
DO45096
69 years, male, NA, stage:2, dead, 1290 days
67.3
DO23509
60 years, male, NA, stage:3, dead, 780 days
66.8
DO45145
78 years, male, NA, stage:3, dead, 60 days
63.5
DO48715
58 years, female, NA, stage:2, dead, 690 days
59.9
DO23545
67 years, male, NA, stage:2, dead, 570 days
56.6
DO50820
77 years, female, NA, stage:3, alive, 510 days
56.5
DO45105
61 years, male, NA, stage:1, alive, 1680 days
51.7
DO45265
73 years, male, NA, stage:3, alive, 1020 days
50.4
DO45199
86 years, female, NA, stage:2, alive, 1350 days
46.9
DO45191
61 years, female, NA, stage:2, alive, 1200 days
46.7
DO45173
63 years, male, NA, stage:3, alive, 1170 days
41.8
DO45183
72 years, female, NA, stage:2, dead, 570 days
40.0
DO50815
62 years, male, NA, stage:3, alive, 150 days
30.0
DO48706
72 years, male, NA, stage:2, alive, 870 days
22.5
DO45209
70 years, male, NA, stage:4, alive, 1350 days
20.6
DO48721
58 years, female, NA, stage:1, alive, 900 days
20.6
DO50845
72 years, male, NA, stage:3, alive, 210 days
16.6
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
192
Normal
1.0
536
Normal
0.8
744
Normal
0.8
538
Normal
0.6
498
Normal
0.6
344
Normal
0.6
124
Normal
0.6
952
Normal
0.6
738
Normal
0.6
878
Normal
0.6
142
Normal
0.6
874
Normal
0.5
816
Normal
0.5
554
Normal
0.5
746
Normal
0.5
492
Normal
0.5
1028
Normal
0.5
146
Normal
0.5
434
Normal
0.5
212
Normal
0.5
742
Normal
0.5
461
Tumor
0.5
224
Normal
0.5
136
Normal
0.5
444
Normal
0.5
422
Normal
0.4
428
Normal
0.4
272
Normal
0.4
412
Normal
0.4
188
Normal
0.4
426
Normal
0.4
778
Normal
0.4
494
Normal
0.4
728
Normal
0.4
111
Normal
0.4
218
Normal
0.4
228
Normal
0.4
138
Normal
0.4
474
Normal
0.4
432
Normal
0.3
268
Normal
0.3
424
Normal
0.3
386
Normal
0.3
462
Normal
0.3
976
Normal
0.3
436
Normal
0.3
421
Tumor
0.3
452
Normal
0.3
414
Normal
0.3
128
Normal
0.3
185
Tumor
0.3
956
Normal
0.3
214
Normal
0.3
258
Normal
0.3
358
Normal
0.3
924
Normal
0.3
312
Normal
0.3
464
Normal
0.3
455
Tumor
0.3
298
Normal
0.3
342
Normal
0.3
966
Normal
0.3
132
Normal
0.3
448
Normal
0.3
558
Normal
0.3
284
Normal
0.2
354
Normal
0.2
114
Normal
0.2
262
Normal
0.2
516
Normal
0.2
278
Normal
0.2
914
Normal
0.2
698
Normal
0.2
478
Normal
0.2
686
Normal
0.2
162
Normal
0.2
126
Normal
0.2
352
Normal
0.2
938
Normal
0.2
466
Normal
0.2
456
Normal
0.2
186
Normal
0.2
696
Normal
0.2
286
Normal
0.2
232
Normal
0.2
446
Normal
0.2
823
Tumor
0.2
862
Normal
0.2
813
Tumor
0.2
222
Normal
0.1
968
Normal
0.1
958
Normal
0.1
396
Normal
0.1
392
Normal
0.1
572
Normal
0.1
365
Tumor
0.1
468
Normal
0.1
864
Normal
0.1
1015
Tumor
0.1
332
Normal
0.1
852
Normal
0.1
883
Tumor
0.1
1026
Normal
0.1
172
Normal
0.1
911
Tumor
0.1
484
Normal
0.1
981
Tumor
0.1
785
Tumor
0.1
416
Normal
0.1
868
Normal
0.1
982
Normal
0.1
362
Normal
0.1
568
Normal
0.0
261
Tumor
0.0
866
Normal
0.0
328
Normal
0.0
394
Normal
0.0
376
Normal
0.0
368
Normal
0.0
366
Normal
0.0
723
Tumor
0.0
666
Normal
0.0
196
Normal
0.0
148
Normal
0.0
472
Normal
0.0
488
Normal
0.0
817
Tumor
0.0
755
Tumor
0.0
648
Normal
0.0
356
Normal
0.0
664
Normal
0.0
574
Normal
0.0
1016
Normal
0.0
662
Normal
0.0
515
Tumor
0.0
824
Normal
0.0
1014
Normal
-0.1
546
Normal
-0.1
943
Tumor
-0.1
534
Normal
-0.1
618
Normal
-0.1
716
Normal
-0.1
524
Normal
-0.1
916
Normal
-0.1
195
Tumor
-0.1
964
Normal
-0.1
777
Tumor
-0.1
518
Normal
-0.1
642
Normal
-0.1
786
Normal
-0.1
223
Tumor
-0.1
314
Normal
-0.1
528
Normal
-0.1
858
Normal
-0.1
388
Normal
-0.1
1022
Normal
-0.1
984
Normal
-0.1
526
Normal
-0.1
482
Normal
-0.2
814
Normal
-0.2
311
Tumor
-0.2
363
Tumor
-0.2
636
Normal
-0.2
978
Normal
-0.2
384
Normal
-0.2
881
Tumor
-0.2
714
Normal
-0.2
145
Tumor
-0.2
628
Normal
-0.2
563
Tumor
-0.2
141
Tumor
-0.2
1044
Normal
-0.2
112
Tumor
-0.2
297
Tumor
-0.2
697
Tumor
-0.3
954
Normal
-0.3
955
Tumor
-0.3
415
Tumor
-0.3
423
Tumor
-0.3
944
Normal
-0.3
616
Normal
-0.3
271
Tumor
-0.3
861
Tumor
-0.3
882
Normal
-0.3
327
Tumor
-0.3
137
Tumor
-0.3
364
Normal
-0.3
481
Tumor
-0.3
217
Tumor
-0.3
977
Tumor
-0.3
564
Normal
-0.3
918
Normal
-0.3
922
Normal
-0.3
471
Tumor
-0.4
672
Normal
-0.4
1046
Normal
-0.4
545
Tumor
-0.4
818
Normal
-0.4
491
Tumor
-0.4
514
Normal
-0.4
867
Tumor
-0.4
513
Tumor
-0.4
1043
Tumor
-0.4
447
Tumor
-0.4
857
Tumor
-0.4
211
Tumor
-0.4
483
Tumor
-0.4
1032
Normal
-0.4
477
Tumor
-0.4
722
Normal
-0.4
433
Tumor
-0.4
975
Tumor
-0.5
267
Tumor
-0.5
353
Tumor
-0.5
873
Tumor
-0.5
525
Tumor
-0.5
917
Tumor
-0.5
277
Tumor
-0.5
171
Tumor
-0.5
127
Tumor
-0.5
1045
Tumor
-0.5
737
Tumor
-0.5
756
Normal
-0.5
355
Tumor
-0.5
863
Tumor
-0.6
385
Tumor
-0.6
343
Tumor
-0.6
884
Normal
-0.6
963
Tumor
-0.6
721
Tumor
-0.6
187
Tumor
-0.6
467
Tumor
-0.6
915
Tumor
-0.6
135
Tumor
-0.6
213
Tumor
-0.6
451
Tumor
-0.6
553
Tumor
-0.6
627
Tumor
-0.7
493
Tumor
-0.7
445
Tumor
-0.7
161
Tumor
-0.7
1041
Tumor
-0.7
125
Tumor
-0.7
473
Tumor
-0.7
715
Tumor
-0.7
923
Tumor
-0.7
925
Tumor
-0.7
465
Tumor
-0.7
535
Tumor
-0.7
383
Tumor
-0.7
191
Tumor
-0.8
913
Tumor
-0.8
435
Tumor
-0.8
443
Tumor
-0.8
615
Tumor
-0.8
331
Tumor
-0.8
427
Tumor
-0.8
865
Tumor
-0.8
713
Tumor
-0.8
1025
Tumor
-0.8
741
Tumor
-0.8
926
Normal
-0.8
912
Normal
-0.8
361
Tumor
-0.8
951
Tumor
-0.8
257
Tumor
-0.8
1042
Normal
-0.9
131
Tumor
-0.9
695
Tumor
-0.9
395
Tumor
-0.9
375
Tumor
-0.9
425
Tumor
-0.9
921
Tumor
-1.0
487
Tumor
-1.0
283
Tumor
-1.0
1021
Tumor
-1.0
1013
Tumor
-1.0
953
Tumor
-1.0
431
Tumor
-1.0
567
Tumor
-1.1
413
Tumor
-1.1
113
Tumor
-1.1
724
Normal
-1.1
557
Tumor
-1.1
1031
Tumor
-1.1
231
Tumor
-1.1
123
Tumor
-1.1
965
Tumor
-1.2
357
Tumor
-1.2
685
Tumor
-1.2
663
Tumor
-1.2
463
Tumor
-1.2
517
Tumor
-1.2
671
Tumor
-1.2
227
Tumor
-1.3
1027
Tumor
-1.3
393
Tumor
-1.3
497
Tumor
-1.3
727
Tumor
-1.3
341
Tumor
-1.3
367
Tumor
-1.3
641
Tumor
-1.3
647
Tumor
-1.3
411
Tumor
-1.3
877
Tumor
-1.4
661
Tumor
-1.4
937
Tumor
-1.4
743
Tumor
-1.4
533
Tumor
-1.4
221
Tumor
-1.4
983
Tumor
-1.4
147
Tumor
-1.5
745
Tumor
-1.5
351
Tumor
-1.5
957
Tumor
-1.6
313
Tumor
-1.6
391
Tumor
-1.6
527
Tumor
-1.6
617
Tumor
-1.6
387
Tumor
-1.6
573
Tumor
-1.6
851
Tumor
-1.7
815
Tumor
-1.7
665
Tumor
-1.7
571
Tumor
-1.9
523
Tumor
-2.0
285
Tumor
-2.1
967
Tumor
-2.1
537
Tumor
-2.2
635
Tumor
-2.3
Show allShow less
LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.