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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.
SERPINF2 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.
: 1.63
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.0012
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.
60%
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.
41%
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
406.8
Number of samples
362
Samples
Sample
Description
TPM
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
2174.9
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
1679.5
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
1662.3
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1623.6
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1400.2
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1298.9
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
1191.8
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
1160.4
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
1069.2
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1050.5
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
1026.6
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
1023.6
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1020.0
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
1016.3
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
989.4
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
984.8
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
949.4
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
937.0
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
922.4
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
920.1
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
912.6
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
895.2
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
885.1
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
848.1
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
844.0
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
843.6
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
835.8
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
824.1
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
816.2
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
815.8
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
811.0
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
808.0
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
791.7
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
789.7
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
779.1
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
778.8
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
775.8
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
761.7
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
755.5
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
742.9
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
738.3
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
736.1
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
728.7
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
725.3
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
724.4
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
722.4
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
716.0
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
710.3
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
706.7
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
706.6
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
702.8
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
701.4
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
696.0
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
687.6
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
686.2
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
681.2
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
670.5
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
662.6
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
662.5
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
658.9
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
658.8
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
650.4
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
649.5
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
643.6
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
642.7
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
634.5
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
629.7
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
623.5
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
623.5
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
619.2
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
617.5
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
611.1
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
610.1
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
609.3
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
604.9
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
597.9
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
596.3
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
589.8
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
586.5
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
586.1
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
582.4
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
581.4
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
581.3
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
578.9
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
575.5
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
574.8
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
574.8
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
561.5
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
559.8
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
558.8
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
557.4
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
556.5
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
554.7
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
552.4
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
552.1
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
550.0
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
544.7
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
543.5
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
533.4
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
531.8
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
526.9
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
524.4
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
521.6
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
521.2
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
519.3
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
505.4
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
504.0
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
501.9
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
498.5
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
497.5
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
497.4
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
495.1
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
494.1
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
493.9
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
491.9
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
491.8
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
490.5
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
487.7
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
486.2
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
485.1
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
484.9
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
480.8
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
480.2
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
474.0
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
471.3
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
463.4
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
463.2
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
460.8
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
460.4
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
459.7
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
458.9
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
456.3
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
453.1
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
451.4
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
450.4
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
447.3
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
445.0
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
445.0
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
444.8
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
442.0
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
441.8
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
441.1
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
437.7
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
437.6
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
437.2
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
436.8
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
435.1
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
433.9
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
433.8
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
433.3
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
429.2
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
428.5
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
428.4
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
427.1
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
427.0
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
426.0
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
425.9
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
423.6
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
422.3
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
421.8
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
419.8
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
419.1
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
415.4
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
414.1
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
413.1
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
412.3
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
410.6
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
407.9
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
407.9
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
406.1
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
405.5
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
404.6
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
403.3
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
402.5
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
400.8
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
394.7
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
392.3
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
391.3
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
389.8
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
386.1
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
384.4
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
384.0
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
382.2
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
381.8
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
381.5
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
380.7
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
379.5
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
375.0
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
374.2
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
373.5
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
372.4
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
368.7
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
368.3
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
366.2
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
364.4
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
363.5
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
363.0
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
356.7
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
354.1
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
353.9
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
353.0
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
351.6
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
351.3
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
349.5
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
349.2
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
348.0
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
344.2
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
337.3
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
336.7
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
336.5
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
335.0
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
333.7
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
332.5
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
329.9
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
328.3
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
328.3
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
327.9
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
327.5
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
326.9
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
324.2
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
322.9
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
321.6
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
319.1
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
316.2
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
315.1
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
314.2
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
312.6
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
312.1
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
310.1
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
307.8
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
306.2
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
305.3
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
299.2
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
297.7
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
294.2
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
293.2
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
292.7
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
289.0
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
286.4
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
280.5
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
279.1
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
273.4
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
271.4
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
271.3
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
269.1
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
266.8
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
266.8
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
266.7
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
263.5
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
259.2
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
256.3
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
254.5
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
254.4
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
252.5
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
250.7
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
248.4
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
244.4
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
230.7
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
230.1
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
226.2
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
224.9
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
223.9
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
222.3
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
220.9
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
217.3
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
214.8
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
212.5
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
206.8
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
204.0
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
202.4
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
194.4
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
192.4
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
189.6
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
188.1
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
183.1
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
182.8
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
180.1
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
179.5
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
177.4
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
172.5
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
172.4
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
149.1
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
148.6
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
142.7
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
139.4
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
138.8
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
135.2
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
134.9
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
134.5
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
133.9
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
130.9
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
128.7
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
127.0
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
125.9
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
124.8
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
117.6
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
109.8
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
104.5
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
94.5
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
93.7
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
93.6
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
93.2
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
91.3
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
88.2
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
79.2
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
74.0
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
72.3
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
70.6
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
62.1
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
54.5
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
49.3
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
48.6
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
47.8
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
47.1
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
46.0
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
40.2
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
39.1
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
38.4
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
32.7
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
26.2
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
18.9
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
16.3
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
13.6
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
7.7
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
6.9
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
5.1
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
4.0
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
3.7
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
2.3
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
2.1
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
2.0
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1.6
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
1.6
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
1.6
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
1.5
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1.5
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1.5
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1.3
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
1.2
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1.2
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
1.1
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1.0
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
1.0
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
0.8
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
0.8
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
0.8
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
0.7
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
0.7
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
0.6
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
0.6
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
0.4
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
0.4
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
0.3
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
0.0
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
0.0
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
0.0
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
0.0
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
0.0
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
0.0
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
0.0
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
0.0
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 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.
SERPINF2 is not prognostic in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 2.14
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.0012
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.
0%
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.
43%
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
409.2
Number of samples
231
Samples
Sample
Description
TPM
DO45179
78 years, female, NA, stage:2, alive, 600 days
1963.7
DO50845
72 years, male, NA, stage:3, alive, 210 days
1329.0
DO50820
77 years, female, NA, stage:3, alive, 510 days
1302.7
DO23532
71 years, female, NA, stage:1, alive, 960 days
1220.9
DO50844
75 years, male, NA, stage:4, alive, 300 days
1180.7
DO23512
60 years, male, NA, stage:1, alive, 1260 days
1163.5
DO45215
65 years, male, NA, stage:2, alive, 1170 days
1064.5
DO45227
57 years, female, NA, stage:2, alive, 1020 days
1062.4
DO50818
65 years, male, NA, stage:2, alive, 510 days
1053.6
DO45167
67 years, male, NA, stage:2, dead, 1440 days
1017.1
DO45107
63 years, female, NA, stage:2, alive, 1710 days
1014.0
DO23528
45 years, female, NA, stage:2, alive, 1020 days
967.6
DO23511
83 years, female, NA, stage:3, dead, 180 days
952.1
DO48674
80 years, male, NA, stage:2, alive, 1260 days
925.7
DO45125
58 years, male, NA, stage:3, alive, 1680 days
895.3
DO45105
61 years, male, NA, stage:1, alive, 1680 days
893.2
DO45193
68 years, female, NA, stage:4, dead, 120 days
830.8
DO50816
63 years, male, NA, stage:2, alive, 390 days
785.8
DO45101
63 years, male, NA, stage:2, alive, 1680 days
775.2
DO50817
75 years, male, NA, stage:2, alive, 390 days
770.8
DO23544
67 years, male, NA, stage:2, alive, 960 days
764.7
DO50799
66 years, female, NA, stage:2, alive, 540 days
748.5
DO45173
63 years, male, NA, stage:3, alive, 1170 days
745.2
DO23540
73 years, male, NA, stage:1, alive, 750 days
738.8
DO45183
72 years, female, NA, stage:2, dead, 570 days
737.1
DO45195
62 years, male, NA, stage:1, alive, 390 days
720.1
DO23541
65 years, male, NA, stage:2, alive, 930 days
708.5
DO50839
47 years, female, NA, stage:3, alive, 330 days
708.0
DO48737
52 years, male, NA, stage:1, alive, 720 days
706.9
DO48700
78 years, female, NA, stage:2, alive, 810 days
706.4
DO45094
76 years, male, NA, stage:3, alive, 1650 days
704.5
DO23537
79 years, male, NA, stage:2, dead, 900 days
702.7
DO45197
51 years, male, NA, stage:2, alive, 1170 days
695.9
DO45281
83 years, male, NA, stage:4, alive, 750 days
693.6
DO23534
60 years, male, NA, stage:2, alive, 840 days
691.6
DO45096
69 years, male, NA, stage:2, dead, 1290 days
687.4
DO45199
86 years, female, NA, stage:2, alive, 1350 days
684.5
DO48760
70 years, female, NA, stage:2, alive, 690 days
672.8
DO23517
62 years, male, NA, stage:2, alive, 1200 days
671.1
DO45109
63 years, male, NA, stage:2, alive, 1590 days
667.8
DO45099
46 years, male, NA, stage:3, alive, 1590 days
667.5
DO50825
70 years, male, NA, stage:2, alive, 390 days
645.4
DO227801
77 years, female, NA, stage:1, alive, 660 days
629.4
DO50793
76 years, male, NA, stage:4, alive, 540 days
628.7
DO45247
31 years, female, NA, stage:2, alive, 210 days
627.1
DO23531
78 years, female, NA, stage:3, alive, 900 days
625.7
DO50802
49 years, male, NA, stage:2, alive, 930 days
625.0
DO50783
62 years, male, NA, stage:3, alive, 480 days
617.8
DO48715
58 years, female, NA, stage:2, dead, 690 days
616.2
DO48695
77 years, male, NA, stage:2, alive, 720 days
615.4
DO48736
76 years, female, NA, stage:1, alive, 600 days
613.0
DO23552
80 years, female, NA, stage:1, alive, 810 days
604.6
DO50840
49 years, male, NA, stage:2, alive, 330 days
593.3
DO48719
80 years, male, NA, stage:2, alive, 690 days
592.6
DO48677
58 years, male, NA, stage:3, alive, 1140 days
590.6
DO45095
66 years, male, NA, stage:2, alive, 1620 days
590.0
DO45181
84 years, female, NA, stage:2, alive, 1200 days
587.0
DO50832
73 years, male, NA, stage:3, alive, 90 days
580.6
DO50805
72 years, male, NA, stage:2, alive, 690 days
580.5
DO45129
61 years, male, NA, stage:3, alive, 1470 days
571.4
DO50776
75 years, male, NA, stage:1, alive, 690 days
546.3
DO50814
83 years, male, NA, stage:3, alive, 420 days
545.4
DO45241
49 years, male, NA, stage:1, alive, 1080 days
542.6
DO45121
61 years, male, NA, stage:3, alive, 1530 days
537.5
DO50813
56 years, male, NA, stage:2, alive, 420 days
537.3
DO23548
78 years, female, NA, stage:1, alive, 840 days
535.3
DO45257
46 years, male, NA, stage:3, alive, 810 days
534.4
DO50804
81 years, male, NA, stage:2, alive, 720 days
528.0
DO48761
55 years, male, NA, stage:2, alive, 870 days
515.9
DO23551
73 years, male, NA, stage:3, dead, 150 days
506.6
DO50807
67 years, male, NA, stage:1, alive, 540 days
502.1
DO45233
83 years, male, NA, stage:3, alive, 900 days
501.2
DO23527
72 years, male, NA, stage:1, alive, 1050 days
495.0
DO23529
72 years, male, NA, stage:4, alive, 930 days
482.1
DO50806
70 years, male, NA, stage:4, alive, 540 days
480.6
DO23516
69 years, male, NA, stage:3, dead, 20 days
476.1
DO45255
81 years, male, NA, stage:3, alive, 720 days
476.0
DO48721
58 years, female, NA, stage:1, alive, 900 days
474.7
DO48757
68 years, female, NA, stage:3, alive, 480 days
466.5
DO45191
61 years, female, NA, stage:2, alive, 1200 days
463.7
DO23550
69 years, male, NA, stage:1, alive, 990 days
463.6
DO23538
67 years, male, NA, stage:2, alive, 450 days
461.9
DO50789
73 years, female, NA, stage:2, alive, 570 days
460.5
DO50785
37 years, male, NA, stage:4, dead, 90 days
460.0
DO50857
72 years, male, NA, stage:2, alive, 210 days
457.2
DO48725
66 years, male, NA, stage:1, alive, 780 days
454.1
DO50859
77 years, male, NA, stage:2, alive, 180 days
453.2
DO23510
80 years, female, NA, stage:2, alive, 870 days
451.9
DO23508
79 years, female, NA, stage:2, alive, 390 days
451.8
DO48681
57 years, male, NA, stage:2, alive, 900 days
450.0
DO45141
73 years, male, NA, stage:2, alive, 1320 days
449.9
DO50787
63 years, male, NA, stage:3, alive, 480 days
437.2
DO45259
65 years, male, NA, stage:3, alive, 330 days
435.6
DO45171
56 years, male, NA, stage:3, alive, 600 days
432.8
DO50811
62 years, male, NA, stage:1, alive, 450 days
418.9
DO23525
71 years, male, NA, stage:4, alive, 1050 days
415.5
DO45161
74 years, male, NA, stage:2, dead, 540 days
415.0
DO48712
50 years, male, NA, stage:2, alive, 810 days
414.8
DO45103
47 years, male, NA, stage:3, alive, 450 days
409.2
DO23536
56 years, male, NA, stage:2, alive, 930 days
403.2
DO48706
72 years, male, NA, stage:2, alive, 870 days
402.4
DO48742
76 years, male, NA, stage:2, alive, 600 days
393.1
DO45187
32 years, female, NA, stage:1, alive, 1260 days
391.5
DO23545
67 years, male, NA, stage:2, dead, 570 days
385.0
DO50822
66 years, male, NA, stage:2, alive, 510 days
383.8
DO50791
79 years, female, NA, stage:1, dead, 480 days
381.4
DO50800
74 years, male, NA, stage:2, alive, 510 days
372.8
DO48679
72 years, male, NA, stage:2, alive, 1200 days
371.6
DO45231
84 years, male, NA, stage:2, alive, 930 days
371.0
DO23546
63 years, male, NA, stage:2, alive, 1050 days
370.5
DO227643
79 years, male, NA, stage:2, alive, 1260 days
368.9
DO45235
68 years, female, NA, stage:1, alive, 900 days
366.1
DO48716
71 years, male, NA, stage:2, alive, 720 days
364.0
DO48759
73 years, male, NA, stage:3, alive, 720 days
359.5
DO23509
60 years, male, NA, stage:3, dead, 780 days
355.9
DO45219
78 years, male, NA, stage:2, alive, 1080 days
352.3
DO45229
74 years, male, NA, stage:1, alive, 990 days
349.0
DO45265
73 years, male, NA, stage:3, alive, 1020 days
345.7
DO45111
74 years, male, NA, stage:2, alive, 1590 days
343.4
DO45273
62 years, male, NA, stage:2, alive, 480 days
338.2
DO48717
54 years, male, NA, stage:4, dead, 180 days
337.7
DO45239
42 years, male, NA, stage:2, alive, 870 days
337.5
DO45159
65 years, male, NA, stage:3, alive, 1470 days
336.3
DO23514
64 years, male, NA, stage:2, alive, 1290 days
332.1
DO45207
68 years, male, NA, stage:1, alive, 1050 days
327.9
DO45203
71 years, female, NA, stage:2, alive, 1170 days
317.0
DO23521
63 years, male, NA, stage:3, alive, 1110 days
314.2
DO50808
68 years, male, NA, stage:2, alive, 570 days
311.7
DO45143
69 years, male, NA, stage:3, alive, 1290 days
310.6
DO23526
66 years, male, NA, stage:3, alive, 1050 days
309.4
DO48751
68 years, male, NA, stage:2, dead, 480 days
308.3
DO48733
72 years, male, NA, stage:2, alive, 600 days
299.6
DO48704
68 years, female, NA, stage:3, alive, 750 days
298.1
DO45092
62 years, male, NA, stage:4, dead, 1200 days
296.3
DO45177
81 years, female, NA, stage:3, alive, 1260 days
295.5
DO45113
58 years, male, NA, stage:3, alive, 1560 days
291.6
DO45269
59 years, male, NA, stage:3, alive, 750 days
291.0
DO45137
38 years, male, NA, stage:1, alive, 1320 days
285.8
DO50850
74 years, male, NA, stage:3, alive, 720 days
283.5
DO23535
67 years, male, NA, stage:1, alive, 960 days
283.2
DO45153
77 years, female, NA, stage:2, alive, 1380 days
279.8
DO45097
69 years, male, NA, stage:3, alive, 1620 days
279.2
DO48697
64 years, female, NA, stage:2, dead, 810 days
278.8
DO23515
71 years, male, NA, stage:2, alive, 1230 days
276.6
DO45217
69 years, female, NA, stage:3, dead, 270 days
276.5
DO45243
74 years, female, NA, stage:3, alive, 930 days
275.5
DO45189
85 years, female, NA, stage:2, alive, 1200 days
272.5
DO50809
56 years, male, NA, stage:3, dead, 720 days
264.6
DO45221
75 years, female, NA, stage:4, dead, 390 days
264.4
DO48746
76 years, male, NA, stage:3, alive, 570 days
263.1
DO23539
77 years, male, NA, stage:1, alive, 1110 days
262.8
DO48727
81 years, female, NA, stage:2, dead, 390 days
262.5
DO45127
73 years, male, NA, stage:3, dead, 420 days
260.1
DO48743
69 years, female, NA, stage:2, alive, 570 days
257.5
DO50855
47 years, male, NA, stage:2, alive, 570 days
252.4
DO45093
71 years, male, NA, stage:2, dead, 720 days
249.2
DO48730
73 years, female, NA, stage:2, alive, 630 days
248.8
DO45091
56 years, male, NA, stage:2, dead, 1320 days
239.6
DO48693
71 years, male, NA, stage:2, alive, 900 days
237.7
DO50803
62 years, female, NA, stage:1, alive, 540 days
237.0
DO48741
64 years, male, NA, stage:3, alive, 240 days
236.4
DO50819
72 years, female, NA, stage:2, alive, 510 days
235.1
DO50815
62 years, male, NA, stage:3, alive, 150 days
234.0
DO45169
74 years, male, NA, stage:3, alive, 1350 days
232.6
DO50774
68 years, female, NA, stage:2, alive, 720 days
230.1
DO45149
70 years, female, NA, stage:2, alive, 1260 days
229.4
DO23543
63 years, male, NA, stage:2, alive, 1020 days
228.7
DO50798
77 years, male, NA, stage:3, dead, 30 days
225.2
DO23549
74 years, male, NA, stage:3, alive, 990 days
222.5
DO45261
74 years, male, NA, stage:3, alive, 990 days
222.1
DO45201
49 years, male, NA, stage:1, alive, 900 days
218.0
DO45115
81 years, male, NA, stage:2, alive, 840 days
213.3
DO45213
58 years, male, NA, stage:1, alive, 1200 days
211.9
DO45117
73 years, female, NA, stage:2, dead, 1110 days
211.5
DO45223
67 years, male, NA, stage:4, alive, 1020 days
211.3
DO48682
72 years, female, NA, stage:3, dead, 120 days
210.0
DO48728
74 years, female, NA, stage:2, alive, 150 days
210.0
DO45175
74 years, male, NA, stage:2, alive, 1140 days
207.4
DO23533
61 years, male, NA, stage:2, alive, 900 days
207.1
DO45133
64 years, male, NA, stage:3, dead, 660 days
204.2
DO48720
62 years, female, NA, stage:2, alive, 570 days
198.4
DO45237
58 years, male, NA, stage:2, alive, 900 days
197.6
DO48723
73 years, male, NA, stage:1, alive, 600 days
194.7
DO50778
60 years, male, NA, stage:4, alive, 630 days
193.2
DO45165
75 years, male, NA, stage:2, alive, 690 days
193.1
DO45135
77 years, male, NA, stage:1, alive, 1410 days
191.7
DO23542
66 years, male, NA, stage:3, alive, 960 days
181.6
DO23547
74 years, male, NA, stage:1, alive, 1020 days
180.4
DO48732
73 years, male, NA, stage:3, alive, 630 days
178.9
DO45157
62 years, male, NA, stage:2, alive, 1980 days
169.1
DO45253
50 years, male, NA, stage:2, alive, 870 days
169.1
DO45185
89 years, male, NA, stage:2, alive, 600 days
166.4
DO45209
70 years, male, NA, stage:4, alive, 1350 days
166.1
DO45123
78 years, female, NA, stage:2, dead, 570 days
165.3
DO23518
67 years, male, NA, stage:2, alive, 1320 days
165.0
DO45163
76 years, male, NA, stage:2, alive, 960 days
162.8
DO48701
78 years, male, NA, stage:2, alive, 780 days
150.3
DO45131
53 years, male, NA, stage:4, dead, 360 days
142.6
DO45145
78 years, male, NA, stage:3, dead, 60 days
139.8
DO45277
64 years, male, NA, stage:3, alive, 600 days
138.3
DO45155
69 years, male, NA, stage:2, alive, 2160 days
132.5
DO23513
76 years, male, NA, stage:3, alive, 1200 days
128.3
DO48672
81 years, male, NA, stage:2, alive, 450 days
112.6
DO45267
73 years, male, NA, stage:3, dead, 570 days
110.9
DO45225
69 years, male, NA, stage:1, alive, 1050 days
109.8
DO45263
67 years, male, NA, stage:3, dead, 270 days
108.2
DO45139
63 years, male, NA, stage:3, alive, 1320 days
107.9
DO23530
53 years, male, NA, stage:4, dead, 180 days
103.4
DO45119
74 years, male, NA, stage:3, dead, 510 days
94.8
DO23524
71 years, female, NA, stage:2, alive, 1050 days
71.6
DO45249
57 years, male, NA, stage:1, alive, 630 days
63.5
DO45251
57 years, female, NA, stage:2, alive, 900 days
63.1
DO45301
56 years, male, NA, stage:2, dead, 1440 days
60.9
DO50829
78 years, male, NA, stage:3, alive, 570 days
43.8
DO45275
65 years, male, NA, stage:3, dead, 10 days
32.7
DO45305
66 years, male, NA, stage:4, alive, 300 days
16.8
DO45205
67 years, female, NA, stage:2, dead, 90 days
14.7
DO45287
74 years, male, NA, stage:1, alive, 390 days
12.0
DO45285
59 years, male, NA, stage:3, alive, 480 days
8.5
DO23523
52 years, male, NA, stage:3, alive, 1080 days
7.5
DO23519
65 years, male, NA, stage:3, alive, 630 days
7.4
DO45211
76 years, male, NA, stage:3, alive, 240 days
6.8
DO45283
60 years, male, NA, stage:3, alive, 510 days
6.5
DO45289
78 years, female, NA, stage:3, alive, 360 days
6.4
DO45279
67 years, male, NA, stage:3, alive, 1290 days
5.5
DO45307
54 years, female, NA, stage:4, dead, 240 days
3.9
DO48747
62 years, male, NA, stage:3, alive, 540 days
3.4
DO45245
75 years, female, NA, stage:2, dead, 240 days
1.9
DO45303
62 years, female, NA, stage:3, alive, 990 days
1.5
DO45297
61 years, female, NA, stage:4, dead, 1260 days
0.7
DO45299
70 years, female, NA, stage:1, alive, 1440 days
0.5
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
877
Tumor
2.7
815
Tumor
2.2
343
Tumor
2.1
425
Tumor
2.1
713
Tumor
1.8
391
Tumor
1.8
671
Tumor
1.7
217
Tumor
1.1
125
Tumor
1.1
743
Tumor
1.1
517
Tumor
1.0
367
Tumor
0.9
363
Tumor
0.9
863
Tumor
0.9
697
Tumor
0.9
313
Tumor
0.7
351
Tumor
0.7
192
Normal
0.7
131
Tumor
0.7
817
Tumor
0.7
937
Tumor
0.7
813
Tumor
0.7
463
Tumor
0.7
328
Normal
0.6
473
Tumor
0.6
967
Tumor
0.6
227
Tumor
0.6
921
Tumor
0.6
975
Tumor
0.5
663
Tumor
0.5
641
Tumor
0.5
741
Tumor
0.4
546
Normal
0.4
491
Tumor
0.4
261
Tumor
0.4
224
Normal
0.4
471
Tumor
0.4
938
Normal
0.4
545
Tumor
0.4
535
Tumor
0.4
1045
Tumor
0.4
647
Tumor
0.4
573
Tumor
0.3
785
Tumor
0.3
113
Tumor
0.3
695
Tumor
0.3
685
Tumor
0.3
715
Tumor
0.3
331
Tumor
0.3
635
Tumor
0.3
665
Tumor
0.3
1041
Tumor
0.3
525
Tumor
0.3
636
Normal
0.3
964
Normal
0.3
536
Normal
0.3
553
Tumor
0.3
983
Tumor
0.3
963
Tumor
0.3
924
Normal
0.3
221
Tumor
0.2
526
Normal
0.2
472
Normal
0.2
571
Tumor
0.2
352
Normal
0.2
375
Tumor
0.2
563
Tumor
0.2
428
Normal
0.2
112
Tumor
0.2
744
Normal
0.2
283
Tumor
0.2
953
Tumor
0.2
487
Tumor
0.2
342
Normal
0.2
364
Normal
0.2
393
Tumor
0.1
557
Tumor
0.1
696
Normal
0.1
818
Normal
0.1
884
Normal
0.1
1031
Tumor
0.1
777
Tumor
0.1
567
Tumor
0.1
426
Normal
0.1
958
Normal
0.1
616
Normal
0.1
368
Normal
0.1
865
Tumor
0.1
142
Normal
0.1
1046
Normal
0.1
648
Normal
0.1
672
Normal
0.1
396
Normal
0.1
1042
Normal
0.1
951
Tumor
0.1
518
Normal
0.1
746
Normal
0.1
484
Normal
0.1
223
Tumor
0.1
327
Tumor
0.1
516
Normal
0.1
474
Normal
0.1
481
Tumor
0.1
618
Normal
0.1
444
Normal
0.1
456
Normal
0.1
488
Normal
0.1
722
Normal
0.1
851
Tumor
0.1
385
Tumor
0.1
778
Normal
0.1
388
Normal
0.1
642
Normal
0.0
464
Normal
0.0
498
Normal
0.0
354
Normal
0.0
1022
Normal
0.0
615
Tumor
0.0
482
Normal
0.0
1044
Normal
0.0
384
Normal
0.0
387
Tumor
0.0
462
Normal
0.0
572
Normal
0.0
568
Normal
0.0
186
Normal
0.0
395
Tumor
0.0
297
Tumor
0.0
954
Normal
0.0
923
Tumor
0.0
494
Normal
0.0
414
Normal
0.0
467
Tumor
0.0
862
Normal
0.0
1026
Normal
0.0
538
Normal
0.0
394
Normal
0.0
723
Tumor
0.0
922
Normal
0.0
191
Tumor
0.0
424
Normal
0.0
944
Normal
0.0
554
Normal
0.0
968
Normal
0.0
344
Normal
0.0
716
Normal
0.0
196
Normal
0.0
558
Normal
0.0
341
Tumor
0.0
952
Normal
0.0
132
Normal
0.0
966
Normal
0.0
534
Normal
-0.1
431
Tumor
-0.1
965
Tumor
-0.1
914
Normal
-0.1
468
Normal
-0.1
514
Normal
-0.1
218
Normal
-0.1
461
Tumor
-0.1
285
Tumor
-0.1
228
Normal
-0.1
124
Normal
-0.1
452
Normal
-0.1
386
Normal
-0.1
873
Tumor
-0.1
982
Normal
-0.1
365
Tumor
-0.1
714
Normal
-0.1
286
Normal
-0.1
1032
Normal
-0.1
432
Normal
-0.1
466
Normal
-0.1
686
Normal
-0.1
956
Normal
-0.1
195
Tumor
-0.1
816
Normal
-0.1
528
Normal
-0.1
866
Normal
-0.1
185
Tumor
-0.1
1028
Normal
-0.1
443
Tumor
-0.1
271
Tumor
-0.1
916
Normal
-0.1
447
Tumor
-0.1
448
Normal
-0.1
492
Normal
-0.1
123
Tumor
-0.1
915
Tumor
-0.1
882
Normal
-0.1
451
Tumor
-0.1
918
Normal
-0.1
376
Normal
-0.1
1016
Normal
-0.2
628
Normal
-0.2
574
Normal
-0.2
147
Tumor
-0.2
564
Normal
-0.2
981
Tumor
-0.2
446
Normal
-0.2
232
Normal
-0.2
148
Normal
-0.2
392
Normal
-0.2
527
Tumor
-0.2
881
Tumor
-0.2
445
Tumor
-0.2
698
Normal
-0.2
858
Normal
-0.2
146
Normal
-0.2
878
Normal
-0.2
533
Tumor
-0.2
745
Tumor
-0.2
213
Tumor
-0.2
141
Tumor
-0.2
145
Tumor
-0.2
478
Normal
-0.2
416
Normal
-0.2
433
Tumor
-0.2
756
Normal
-0.2
314
Normal
-0.2
284
Normal
-0.2
222
Normal
-0.2
742
Normal
-0.2
212
Normal
-0.2
111
Normal
-0.2
162
Normal
-0.2
824
Normal
-0.2
912
Normal
-0.2
258
Normal
-0.2
984
Normal
-0.2
926
Normal
-0.2
214
Normal
-0.2
436
Normal
-0.2
138
Normal
-0.2
465
Tumor
-0.2
126
Normal
-0.2
455
Tumor
-0.2
422
Normal
-0.2
883
Tumor
-0.2
356
Normal
-0.2
664
Normal
-0.2
262
Normal
-0.2
1043
Tumor
-0.2
737
Tumor
-0.2
135
Tumor
-0.3
358
Normal
-0.3
355
Tumor
-0.3
353
Tumor
-0.3
188
Normal
-0.3
483
Tumor
-0.3
1025
Tumor
-0.3
857
Tumor
-0.3
267
Tumor
-0.3
786
Normal
-0.3
298
Normal
-0.3
976
Normal
-0.3
272
Normal
-0.3
415
Tumor
-0.3
413
Tumor
-0.3
136
Normal
-0.3
1014
Normal
-0.3
666
Normal
-0.3
172
Normal
-0.3
421
Tumor
-0.3
515
Tumor
-0.3
268
Normal
-0.3
187
Tumor
-0.3
823
Tumor
-0.3
435
Tumor
-0.3
366
Normal
-0.3
1021
Tumor
-0.3
864
Normal
-0.3
332
Normal
-0.3
755
Tumor
-0.3
477
Tumor
-0.3
434
Normal
-0.3
728
Normal
-0.3
911
Tumor
-0.3
738
Normal
-0.3
411
Tumor
-0.3
627
Tumor
-0.3
114
Normal
-0.3
257
Tumor
-0.3
721
Tumor
-0.3
497
Tumor
-0.3
137
Tumor
-0.3
814
Normal
-0.4
362
Normal
-0.4
524
Normal
-0.4
1027
Tumor
-0.4
868
Normal
-0.4
852
Normal
-0.4
523
Tumor
-0.4
874
Normal
-0.4
617
Tumor
-0.4
925
Tumor
-0.4
412
Normal
-0.4
1015
Tumor
-0.4
128
Normal
-0.4
423
Tumor
-0.4
662
Normal
-0.4
361
Tumor
-0.4
127
Tumor
-0.4
312
Normal
-0.4
661
Tumor
-0.4
978
Normal
-0.4
513
Tumor
-0.4
977
Tumor
-0.5
955
Tumor
-0.5
917
Tumor
-0.5
311
Tumor
-0.5
913
Tumor
-0.5
278
Normal
-0.5
957
Tumor
-0.5
427
Tumor
-0.5
861
Tumor
-0.6
231
Tumor
-0.6
383
Tumor
-0.6
727
Tumor
-0.6
161
Tumor
-0.6
277
Tumor
-0.7
493
Tumor
-0.7
171
Tumor
-0.7
537
Tumor
-0.7
943
Tumor
-0.7
357
Tumor
-0.8
724
Normal
-0.8
867
Tumor
-0.8
1013
Tumor
-0.8
211
Tumor
-1.0
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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.