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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.
SERPIND1 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
487.1
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
2175.4
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
1737.1
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
1485.0
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
1410.3
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
1388.0
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1242.0
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1219.9
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
1174.7
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1163.5
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
1159.2
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
1154.3
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
1145.2
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
1143.3
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1118.7
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
1076.9
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
1075.0
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
1071.3
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1070.5
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
1066.3
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
1053.6
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
1045.4
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1041.8
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1041.0
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1008.9
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
990.8
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
974.4
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
951.5
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
947.4
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
944.2
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
941.8
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
936.7
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
929.4
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
920.9
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
914.3
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
898.0
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
896.0
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
893.1
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
884.3
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
882.7
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
880.4
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
876.6
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
876.6
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
876.2
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
869.9
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
865.2
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
861.9
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
857.4
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
829.2
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
827.6
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
820.9
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
813.5
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
813.0
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
794.2
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
777.8
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
776.3
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
773.9
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
772.8
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
753.1
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
750.1
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
746.5
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
744.9
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
741.3
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
735.0
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
734.9
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
734.8
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
734.8
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
731.4
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
731.2
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
729.7
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
729.0
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
726.9
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
719.2
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
703.4
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
691.5
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
682.6
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
679.5
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
672.1
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
670.6
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
667.3
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
666.7
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
666.0
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
665.3
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
664.3
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
661.4
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
660.0
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
657.3
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
656.2
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
654.0
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
653.1
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
650.6
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
646.7
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
644.6
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
644.4
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
637.9
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
637.1
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
635.7
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
635.4
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
634.8
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
634.8
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
626.7
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
626.3
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
619.0
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
617.6
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
614.7
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
613.0
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
606.9
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
606.3
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
586.2
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
583.5
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
578.5
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
576.1
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
575.2
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
575.1
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
574.4
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
574.4
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
572.8
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
570.6
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
569.0
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
568.6
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
567.7
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
558.5
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
558.3
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
558.2
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
553.8
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
545.2
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
544.2
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
543.1
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
542.4
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
541.6
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
540.6
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
539.8
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
539.5
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
535.9
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
535.3
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
532.8
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
530.5
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
528.1
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
528.0
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
519.5
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
517.1
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
516.1
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
513.5
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
512.7
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
512.6
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
511.7
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
511.4
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
509.1
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
508.8
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
501.0
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
500.8
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
499.5
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
497.5
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
496.5
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
495.4
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
490.4
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
487.6
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
486.9
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
485.9
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
484.8
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
481.5
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
481.3
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
477.5
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
477.0
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
476.1
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
474.3
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
468.2
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
467.1
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
462.2
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
460.4
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
457.0
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
454.8
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
451.2
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
449.4
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
448.9
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
445.8
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
445.3
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
443.1
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
442.5
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
441.9
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
441.1
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
438.8
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
435.8
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
435.8
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
434.0
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
433.0
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
430.9
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
428.2
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
427.8
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
427.2
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
425.4
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
423.2
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
422.1
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
420.8
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
420.5
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
416.8
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
415.6
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
413.4
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
411.0
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
409.3
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
409.0
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
408.3
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
404.7
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
400.3
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
396.7
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
396.5
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
396.4
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
396.1
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
392.1
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
387.1
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
385.4
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
385.2
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
383.6
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
382.7
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
381.1
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
381.1
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
380.5
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
380.3
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
380.0
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
373.7
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
373.0
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
364.8
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
363.6
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
362.1
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
362.0
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
361.8
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
361.6
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
360.7
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
357.4
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
349.7
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
346.9
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
345.0
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
344.9
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
342.5
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
337.9
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
337.6
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
337.3
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
336.3
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
335.9
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
335.5
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
334.4
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
334.3
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
333.4
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
333.2
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
331.1
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
330.6
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
327.0
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
325.9
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
325.6
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
324.8
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
323.9
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
323.1
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
321.5
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
318.3
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
317.9
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
316.5
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
312.3
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
310.8
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
309.4
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
308.4
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
307.8
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
307.6
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
307.3
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
301.5
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
301.3
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
297.0
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
296.5
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
294.8
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
294.5
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
292.0
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
290.5
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
287.6
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
287.5
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
282.8
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
280.8
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
279.5
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
278.2
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
277.7
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
277.6
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
270.8
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
270.3
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
269.1
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
267.6
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
264.7
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
262.7
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
260.7
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
257.9
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
256.1
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
251.3
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
246.7
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
246.0
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
239.0
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
239.0
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
238.4
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
238.0
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
237.2
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
235.4
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
231.2
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
231.1
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
230.7
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
229.1
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
228.4
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
227.9
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
226.9
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
225.9
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
223.0
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
221.7
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
209.7
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
209.4
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
208.8
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
208.5
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
204.9
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
200.7
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
198.5
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
195.7
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
184.3
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
182.1
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
180.6
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
173.7
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
172.1
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
169.4
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
168.9
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
166.1
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
160.6
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
153.3
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
151.6
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
148.1
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
146.3
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
138.2
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
132.6
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
123.6
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
122.6
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
103.8
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
92.9
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
91.9
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
90.9
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
87.9
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
83.8
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
79.7
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
72.1
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
61.2
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
36.6
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
35.3
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
33.2
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
32.4
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
23.1
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
21.5
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
16.2
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
16.0
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
14.6
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
7.8
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
5.5
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
5.1
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
1.8
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
1.4
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1.2
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
1.0
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
1.0
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1.0
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
0.6
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
0.5
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
0.3
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 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.
SERPIND1 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
652.4
Number of samples
231
Samples
Sample
Description
pTPM
DO45137
38 years, male, NA, stage:1, alive, 1320 days
2097.7
DO45096
69 years, male, NA, stage:2, dead, 1290 days
2066.3
DO50807
67 years, male, NA, stage:1, alive, 540 days
1916.9
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1706.2
DO48681
57 years, male, NA, stage:2, alive, 900 days
1688.5
DO45179
78 years, female, NA, stage:2, alive, 600 days
1593.7
DO23511
83 years, female, NA, stage:3, dead, 180 days
1517.1
DO45203
71 years, female, NA, stage:2, alive, 1170 days
1499.7
DO45187
32 years, female, NA, stage:1, alive, 1260 days
1489.7
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1425.9
DO48701
78 years, male, NA, stage:2, alive, 780 days
1375.8
DO50820
77 years, female, NA, stage:3, alive, 510 days
1351.2
DO50789
73 years, female, NA, stage:2, alive, 570 days
1350.8
DO45129
61 years, male, NA, stage:3, alive, 1470 days
1324.7
DO45113
58 years, male, NA, stage:3, alive, 1560 days
1324.2
DO50808
68 years, male, NA, stage:2, alive, 570 days
1306.4
DO23550
69 years, male, NA, stage:1, alive, 990 days
1280.6
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1268.1
DO45131
53 years, male, NA, stage:4, dead, 360 days
1248.9
DO45255
81 years, male, NA, stage:3, alive, 720 days
1245.5
DO23534
60 years, male, NA, stage:2, alive, 840 days
1222.0
DO23527
72 years, male, NA, stage:1, alive, 1050 days
1212.6
DO45199
86 years, female, NA, stage:2, alive, 1350 days
1208.4
DO45133
64 years, male, NA, stage:3, dead, 660 days
1146.7
DO23513
76 years, male, NA, stage:3, alive, 1200 days
1135.8
DO48751
68 years, male, NA, stage:2, dead, 480 days
1134.2
DO45115
81 years, male, NA, stage:2, alive, 840 days
1123.8
DO23538
67 years, male, NA, stage:2, alive, 450 days
1122.1
DO45207
68 years, male, NA, stage:1, alive, 1050 days
1121.7
DO48761
55 years, male, NA, stage:2, alive, 870 days
1116.3
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1071.4
DO45183
72 years, female, NA, stage:2, dead, 570 days
1045.8
DO48706
72 years, male, NA, stage:2, alive, 870 days
1037.6
DO48760
70 years, female, NA, stage:2, alive, 690 days
1026.7
DO45155
69 years, male, NA, stage:2, alive, 2160 days
1011.9
DO50793
76 years, male, NA, stage:4, alive, 540 days
1009.2
DO48743
69 years, female, NA, stage:2, alive, 570 days
1008.3
DO48715
58 years, female, NA, stage:2, dead, 690 days
994.0
DO45239
42 years, male, NA, stage:2, alive, 870 days
993.1
DO48746
76 years, male, NA, stage:3, alive, 570 days
992.7
DO45247
31 years, female, NA, stage:2, alive, 210 days
990.3
DO48757
68 years, female, NA, stage:3, alive, 480 days
985.2
DO48725
66 years, male, NA, stage:1, alive, 780 days
966.7
DO48719
80 years, male, NA, stage:2, alive, 690 days
964.5
DO23531
78 years, female, NA, stage:3, alive, 900 days
956.3
DO23514
64 years, male, NA, stage:2, alive, 1290 days
955.1
DO23529
72 years, male, NA, stage:4, alive, 930 days
951.9
DO48727
81 years, female, NA, stage:2, dead, 390 days
949.9
DO45227
57 years, female, NA, stage:2, alive, 1020 days
936.6
DO45205
67 years, female, NA, stage:2, dead, 90 days
934.6
DO48695
77 years, male, NA, stage:2, alive, 720 days
930.1
DO45163
76 years, male, NA, stage:2, alive, 960 days
926.3
DO50787
63 years, male, NA, stage:3, alive, 480 days
904.0
DO45121
61 years, male, NA, stage:3, alive, 1530 days
896.0
DO50819
72 years, female, NA, stage:2, alive, 510 days
882.2
DO45093
71 years, male, NA, stage:2, dead, 720 days
877.7
DO45091
56 years, male, NA, stage:2, dead, 1320 days
873.0
DO48677
58 years, male, NA, stage:3, alive, 1140 days
861.2
DO45197
51 years, male, NA, stage:2, alive, 1170 days
854.8
DO227801
77 years, female, NA, stage:1, alive, 660 days
840.5
DO45217
69 years, female, NA, stage:3, dead, 270 days
839.3
DO50850
74 years, male, NA, stage:3, alive, 720 days
837.1
DO23552
80 years, female, NA, stage:1, alive, 810 days
829.2
DO50804
81 years, male, NA, stage:2, alive, 720 days
826.4
DO48723
73 years, male, NA, stage:1, alive, 600 days
824.5
DO48721
58 years, female, NA, stage:1, alive, 900 days
821.9
DO50855
47 years, male, NA, stage:2, alive, 570 days
819.7
DO45269
59 years, male, NA, stage:3, alive, 750 days
816.4
DO50802
49 years, male, NA, stage:2, alive, 930 days
811.7
DO45107
63 years, female, NA, stage:2, alive, 1710 days
810.0
DO45233
83 years, male, NA, stage:3, alive, 900 days
799.7
DO45213
58 years, male, NA, stage:1, alive, 1200 days
796.0
DO23528
45 years, female, NA, stage:2, alive, 1020 days
790.4
DO50818
65 years, male, NA, stage:2, alive, 510 days
789.7
DO45117
73 years, female, NA, stage:2, dead, 1110 days
788.7
DO23516
69 years, male, NA, stage:3, dead, 20 days
772.9
DO45201
49 years, male, NA, stage:1, alive, 900 days
770.6
DO23524
71 years, female, NA, stage:2, alive, 1050 days
770.1
DO45191
61 years, female, NA, stage:2, alive, 1200 days
769.2
DO45177
81 years, female, NA, stage:3, alive, 1260 days
766.0
DO23517
62 years, male, NA, stage:2, alive, 1200 days
761.2
DO50785
37 years, male, NA, stage:4, dead, 90 days
760.7
DO45261
74 years, male, NA, stage:3, alive, 990 days
755.3
DO48728
74 years, female, NA, stage:2, alive, 150 days
754.3
DO45223
67 years, male, NA, stage:4, alive, 1020 days
752.3
DO48742
76 years, male, NA, stage:2, alive, 600 days
752.1
DO45175
74 years, male, NA, stage:2, alive, 1140 days
747.9
DO50859
77 years, male, NA, stage:2, alive, 180 days
743.9
DO45173
63 years, male, NA, stage:3, alive, 1170 days
742.0
DO23515
71 years, male, NA, stage:2, alive, 1230 days
741.7
DO45161
74 years, male, NA, stage:2, dead, 540 days
740.7
DO45099
46 years, male, NA, stage:3, alive, 1590 days
738.9
DO50825
70 years, male, NA, stage:2, alive, 390 days
731.1
DO23541
65 years, male, NA, stage:2, alive, 930 days
728.3
DO45181
84 years, female, NA, stage:2, alive, 1200 days
727.4
DO50806
70 years, male, NA, stage:4, alive, 540 days
721.6
DO50822
66 years, male, NA, stage:2, alive, 510 days
714.8
DO23533
61 years, male, NA, stage:2, alive, 900 days
713.5
DO45171
56 years, male, NA, stage:3, alive, 600 days
706.5
DO45265
73 years, male, NA, stage:3, alive, 1020 days
699.3
DO48736
76 years, female, NA, stage:1, alive, 600 days
687.9
DO45135
77 years, male, NA, stage:1, alive, 1410 days
671.1
DO45125
58 years, male, NA, stage:3, alive, 1680 days
656.8
DO23548
78 years, female, NA, stage:1, alive, 840 days
653.8
DO50783
62 years, male, NA, stage:3, alive, 480 days
651.5
DO23536
56 years, male, NA, stage:2, alive, 930 days
648.5
DO45167
67 years, male, NA, stage:2, dead, 1440 days
647.6
DO50813
56 years, male, NA, stage:2, alive, 420 days
640.3
DO50774
68 years, female, NA, stage:2, alive, 720 days
636.5
DO45127
73 years, male, NA, stage:3, dead, 420 days
631.1
DO45229
74 years, male, NA, stage:1, alive, 990 days
626.7
DO48693
71 years, male, NA, stage:2, alive, 900 days
621.5
DO48674
80 years, male, NA, stage:2, alive, 1260 days
620.3
DO48712
50 years, male, NA, stage:2, alive, 810 days
611.5
DO23509
60 years, male, NA, stage:3, dead, 780 days
610.4
DO45243
74 years, female, NA, stage:3, alive, 930 days
605.0
DO45185
89 years, male, NA, stage:2, alive, 600 days
603.4
DO45094
76 years, male, NA, stage:3, alive, 1650 days
603.2
DO45241
49 years, male, NA, stage:1, alive, 1080 days
600.8
DO227643
79 years, male, NA, stage:2, alive, 1260 days
599.1
DO45092
62 years, male, NA, stage:4, dead, 1200 days
596.1
DO48730
73 years, female, NA, stage:2, alive, 630 days
593.8
DO48672
81 years, male, NA, stage:2, alive, 450 days
587.4
DO50778
60 years, male, NA, stage:4, alive, 630 days
584.5
DO23545
67 years, male, NA, stage:2, dead, 570 days
573.4
DO45281
83 years, male, NA, stage:4, alive, 750 days
570.6
DO45237
58 years, male, NA, stage:2, alive, 900 days
569.2
DO50798
77 years, male, NA, stage:3, dead, 30 days
569.1
DO48733
72 years, male, NA, stage:2, alive, 600 days
566.9
DO45123
78 years, female, NA, stage:2, dead, 570 days
561.5
DO48737
52 years, male, NA, stage:1, alive, 720 days
560.6
DO23525
71 years, male, NA, stage:4, alive, 1050 days
554.1
DO50776
75 years, male, NA, stage:1, alive, 690 days
552.2
DO45195
62 years, male, NA, stage:1, alive, 390 days
551.6
DO48759
73 years, male, NA, stage:3, alive, 720 days
551.1
DO50816
63 years, male, NA, stage:2, alive, 390 days
545.8
DO45193
68 years, female, NA, stage:4, dead, 120 days
540.1
DO48697
64 years, female, NA, stage:2, dead, 810 days
538.2
DO50844
75 years, male, NA, stage:4, alive, 300 days
536.2
DO50857
72 years, male, NA, stage:2, alive, 210 days
526.3
DO45221
75 years, female, NA, stage:4, dead, 390 days
524.4
DO45111
74 years, male, NA, stage:2, alive, 1590 days
522.5
DO45101
63 years, male, NA, stage:2, alive, 1680 days
522.4
DO23535
67 years, male, NA, stage:1, alive, 960 days
520.1
DO23544
67 years, male, NA, stage:2, alive, 960 days
515.9
DO50832
73 years, male, NA, stage:3, alive, 90 days
508.4
DO48704
68 years, female, NA, stage:3, alive, 750 days
508.1
DO45215
65 years, male, NA, stage:2, alive, 1170 days
502.6
DO45257
46 years, male, NA, stage:3, alive, 810 days
500.7
DO50840
49 years, male, NA, stage:2, alive, 330 days
495.4
DO48682
72 years, female, NA, stage:3, dead, 120 days
487.7
DO23542
66 years, male, NA, stage:3, alive, 960 days
481.2
DO45097
69 years, male, NA, stage:3, alive, 1620 days
479.8
DO23512
60 years, male, NA, stage:1, alive, 1260 days
476.3
DO50811
62 years, male, NA, stage:1, alive, 450 days
474.2
DO45143
69 years, male, NA, stage:3, alive, 1290 days
473.1
DO48741
64 years, male, NA, stage:3, alive, 240 days
470.4
DO50803
62 years, female, NA, stage:1, alive, 540 days
458.7
DO23526
66 years, male, NA, stage:3, alive, 1050 days
456.6
DO45157
62 years, male, NA, stage:2, alive, 1980 days
454.3
DO45141
73 years, male, NA, stage:2, alive, 1320 days
451.4
DO45119
74 years, male, NA, stage:3, dead, 510 days
447.1
DO45231
84 years, male, NA, stage:2, alive, 930 days
438.5
DO48679
72 years, male, NA, stage:2, alive, 1200 days
433.5
DO23540
73 years, male, NA, stage:1, alive, 750 days
431.8
DO23551
73 years, male, NA, stage:3, dead, 150 days
431.5
DO50845
72 years, male, NA, stage:3, alive, 210 days
431.2
DO45109
63 years, male, NA, stage:2, alive, 1590 days
414.4
DO23537
79 years, male, NA, stage:2, dead, 900 days
403.5
DO45189
85 years, female, NA, stage:2, alive, 1200 days
400.5
DO23508
79 years, female, NA, stage:2, alive, 390 days
397.4
DO48700
78 years, female, NA, stage:2, alive, 810 days
392.2
DO23543
63 years, male, NA, stage:2, alive, 1020 days
386.7
DO50809
56 years, male, NA, stage:3, dead, 720 days
385.9
DO23549
74 years, male, NA, stage:3, alive, 990 days
380.3
DO45225
69 years, male, NA, stage:1, alive, 1050 days
378.1
DO45105
61 years, male, NA, stage:1, alive, 1680 days
377.1
DO45153
77 years, female, NA, stage:2, alive, 1380 days
372.5
DO23532
71 years, female, NA, stage:1, alive, 960 days
368.3
DO50800
74 years, male, NA, stage:2, alive, 510 days
368.1
DO48716
71 years, male, NA, stage:2, alive, 720 days
365.8
DO23510
80 years, female, NA, stage:2, alive, 870 days
362.7
DO45169
74 years, male, NA, stage:3, alive, 1350 days
354.2
DO50839
47 years, female, NA, stage:3, alive, 330 days
349.0
DO45095
66 years, male, NA, stage:2, alive, 1620 days
341.4
DO50817
75 years, male, NA, stage:2, alive, 390 days
340.2
DO45253
50 years, male, NA, stage:2, alive, 870 days
335.0
DO45235
68 years, female, NA, stage:1, alive, 900 days
323.5
DO23518
67 years, male, NA, stage:2, alive, 1320 days
318.8
DO45165
75 years, male, NA, stage:2, alive, 690 days
317.3
DO45267
73 years, male, NA, stage:3, dead, 570 days
306.8
DO50814
83 years, male, NA, stage:3, alive, 420 days
305.2
DO50805
72 years, male, NA, stage:2, alive, 690 days
305.0
DO45263
67 years, male, NA, stage:3, dead, 270 days
304.2
DO48720
62 years, female, NA, stage:2, alive, 570 days
297.5
DO50799
66 years, female, NA, stage:2, alive, 540 days
264.8
DO45103
47 years, male, NA, stage:3, alive, 450 days
248.0
DO45209
70 years, male, NA, stage:4, alive, 1350 days
244.8
DO45259
65 years, male, NA, stage:3, alive, 330 days
219.1
DO50791
79 years, female, NA, stage:1, dead, 480 days
215.3
DO48717
54 years, male, NA, stage:4, dead, 180 days
207.1
DO23546
63 years, male, NA, stage:2, alive, 1050 days
206.4
DO45149
70 years, female, NA, stage:2, alive, 1260 days
180.5
DO48732
73 years, male, NA, stage:3, alive, 630 days
170.5
DO45139
63 years, male, NA, stage:3, alive, 1320 days
155.8
DO23530
53 years, male, NA, stage:4, dead, 180 days
145.9
DO45273
62 years, male, NA, stage:2, alive, 480 days
135.1
DO23519
65 years, male, NA, stage:3, alive, 630 days
96.8
DO50815
62 years, male, NA, stage:3, alive, 150 days
90.4
DO45251
57 years, female, NA, stage:2, alive, 900 days
70.9
DO23547
74 years, male, NA, stage:1, alive, 1020 days
66.2
DO45145
78 years, male, NA, stage:3, dead, 60 days
53.2
DO45275
65 years, male, NA, stage:3, dead, 10 days
50.2
DO48747
62 years, male, NA, stage:3, alive, 540 days
46.1
DO45249
57 years, male, NA, stage:1, alive, 630 days
42.2
DO50829
78 years, male, NA, stage:3, alive, 570 days
32.9
DO45301
56 years, male, NA, stage:2, dead, 1440 days
14.3
DO45287
74 years, male, NA, stage:1, alive, 390 days
10.0
DO45305
66 years, male, NA, stage:4, alive, 300 days
6.5
DO45279
67 years, male, NA, stage:3, alive, 1290 days
2.7
DO45283
60 years, male, NA, stage:3, alive, 510 days
2.6
DO45277
64 years, male, NA, stage:3, alive, 600 days
2.2
DO45307
54 years, female, NA, stage:4, dead, 240 days
1.8
DO45245
75 years, female, NA, stage:2, dead, 240 days
1.8
DO45303
62 years, female, NA, stage:3, alive, 990 days
1.5
DO45289
78 years, female, NA, stage:3, alive, 360 days
1.1
DO23523
52 years, male, NA, stage:3, alive, 1080 days
1.1
DO45299
70 years, female, NA, stage:1, alive, 1440 days
0.3
DO45285
59 years, male, NA, stage:3, alive, 480 days
0.2
DO45211
76 years, male, NA, stage:3, alive, 240 days
0.2
DO45297
61 years, female, NA, stage:4, dead, 1260 days
0.1
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
877
Tumor
1.8
863
Tumor
1.6
425
Tumor
1.4
921
Tumor
1.2
671
Tumor
1.2
517
Tumor
1.1
363
Tumor
1.1
1045
Tumor
1.0
713
Tumor
1.0
665
Tumor
1.0
463
Tumor
0.9
343
Tumor
0.9
445
Tumor
0.9
635
Tumor
0.9
777
Tumor
0.8
975
Tumor
0.8
224
Normal
0.8
223
Tumor
0.7
313
Tumor
0.7
471
Tumor
0.7
857
Tumor
0.7
192
Normal
0.6
743
Tumor
0.6
636
Normal
0.6
131
Tumor
0.6
387
Tumor
0.6
391
Tumor
0.6
983
Tumor
0.5
967
Tumor
0.5
817
Tumor
0.5
697
Tumor
0.5
815
Tumor
0.5
778
Normal
0.5
261
Tumor
0.4
695
Tumor
0.4
217
Tumor
0.4
964
Normal
0.4
113
Tumor
0.4
384
Normal
0.4
147
Tumor
0.4
124
Normal
0.4
813
Tumor
0.4
884
Normal
0.4
112
Tumor
0.4
328
Normal
0.4
221
Tumor
0.4
277
Tumor
0.4
257
Tumor
0.4
785
Tumor
0.3
1027
Tumor
0.3
125
Tumor
0.3
981
Tumor
0.3
137
Tumor
0.3
958
Normal
0.3
1046
Normal
0.3
515
Tumor
0.3
818
Normal
0.3
922
Normal
0.3
744
Normal
0.3
331
Tumor
0.3
727
Tumor
0.3
641
Tumor
0.3
396
Normal
0.3
938
Normal
0.3
142
Normal
0.3
672
Normal
0.3
433
Tumor
0.3
484
Normal
0.3
1028
Normal
0.3
666
Normal
0.3
615
Tumor
0.3
487
Tumor
0.3
375
Tumor
0.3
553
Tumor
0.2
421
Tumor
0.2
516
Normal
0.2
571
Tumor
0.2
314
Normal
0.2
428
Normal
0.2
443
Tumor
0.2
977
Tumor
0.2
924
Normal
0.2
715
Tumor
0.2
498
Normal
0.2
866
Normal
0.2
354
Normal
0.2
526
Normal
0.2
435
Tumor
0.2
1041
Tumor
0.2
878
Normal
0.2
474
Normal
0.2
444
Normal
0.2
745
Tumor
0.2
546
Normal
0.2
618
Normal
0.2
514
Normal
0.2
918
Normal
0.2
882
Normal
0.2
368
Normal
0.2
616
Normal
0.2
617
Tumor
0.2
365
Tumor
0.2
982
Normal
0.2
342
Normal
0.2
858
Normal
0.2
146
Normal
0.2
723
Tumor
0.2
227
Tumor
0.2
196
Normal
0.2
518
Normal
0.2
452
Normal
0.2
648
Normal
0.2
477
Tumor
0.2
472
Normal
0.2
1022
Normal
0.2
534
Normal
0.1
756
Normal
0.1
568
Normal
0.1
523
Tumor
0.1
737
Tumor
0.1
574
Normal
0.1
414
Normal
0.1
468
Normal
0.1
341
Tumor
0.1
746
Normal
0.1
488
Normal
0.1
432
Normal
0.1
135
Tumor
0.1
141
Tumor
0.1
525
Tumor
0.1
1015
Tumor
0.1
148
Normal
0.1
364
Normal
0.1
912
Normal
0.1
464
Normal
0.1
881
Tumor
0.1
1042
Normal
0.1
572
Normal
0.1
218
Normal
0.1
111
Normal
0.1
696
Normal
0.1
554
Normal
0.1
436
Normal
0.1
545
Tumor
0.1
465
Tumor
0.1
191
Tumor
0.1
564
Normal
0.1
714
Normal
0.1
742
Normal
0.1
162
Normal
0.1
424
Normal
0.1
864
Normal
0.1
284
Normal
0.1
232
Normal
0.1
426
Normal
0.1
1014
Normal
0.1
466
Normal
0.1
686
Normal
0.1
642
Normal
0.1
728
Normal
0.1
513
Tumor
0.1
327
Tumor
0.1
188
Normal
0.1
482
Normal
0.0
563
Tumor
0.0
462
Normal
0.0
138
Normal
0.0
963
Tumor
0.0
954
Normal
0.0
186
Normal
0.0
114
Normal
0.0
926
Normal
0.0
297
Tumor
0.0
132
Normal
0.0
1044
Normal
0.0
916
Normal
0.0
448
Normal
0.0
944
Normal
0.0
716
Normal
0.0
984
Normal
0.0
187
Tumor
0.0
1026
Normal
0.0
524
Normal
0.0
663
Tumor
0.0
786
Normal
0.0
497
Tumor
0.0
816
Normal
0.0
386
Normal
0.0
376
Normal
0.0
741
Tumor
0.0
824
Normal
0.0
388
Normal
0.0
862
Normal
0.0
976
Normal
0.0
956
Normal
0.0
558
Normal
0.0
851
Tumor
0.0
865
Tumor
0.0
446
Normal
0.0
952
Normal
0.0
126
Normal
0.0
1032
Normal
0.0
461
Tumor
0.0
868
Normal
0.0
298
Normal
0.0
883
Tumor
0.0
127
Tumor
0.0
258
Normal
0.0
494
Normal
0.0
874
Normal
0.0
738
Normal
0.0
968
Normal
0.0
123
Tumor
0.0
481
Tumor
0.0
1016
Normal
0.0
394
Normal
0.0
722
Normal
0.0
271
Tumor
-0.1
362
Normal
-0.1
128
Normal
-0.1
628
Normal
-0.1
171
Tumor
-0.1
358
Normal
-0.1
456
Normal
-0.1
367
Tumor
-0.1
431
Tumor
-0.1
664
Normal
-0.1
392
Normal
-0.1
262
Normal
-0.1
557
Tumor
-0.1
724
Normal
-0.1
355
Tumor
-0.1
312
Normal
-0.1
915
Tumor
-0.1
647
Tumor
-0.1
356
Normal
-0.1
195
Tumor
-0.1
478
Normal
-0.1
911
Tumor
-0.1
136
Normal
-0.1
535
Tumor
-0.1
852
Normal
-0.1
483
Tumor
-0.1
272
Normal
-0.1
283
Tumor
-0.1
332
Normal
-0.1
455
Tumor
-0.1
228
Normal
-0.1
422
Normal
-0.1
185
Tumor
-0.1
222
Normal
-0.1
278
Normal
-0.1
937
Tumor
-0.1
268
Normal
-0.1
172
Normal
-0.1
755
Tumor
-0.1
451
Tumor
-0.1
823
Tumor
-0.1
538
Normal
-0.1
145
Tumor
-0.1
965
Tumor
-0.1
212
Normal
-0.2
491
Tumor
-0.2
527
Tumor
-0.2
914
Normal
-0.2
214
Normal
-0.2
662
Normal
-0.2
925
Tumor
-0.2
423
Tumor
-0.2
814
Normal
-0.2
1021
Tumor
-0.2
395
Tumor
-0.2
536
Normal
-0.2
913
Tumor
-0.2
492
Normal
-0.2
416
Normal
-0.2
917
Tumor
-0.2
383
Tumor
-0.2
161
Tumor
-0.2
953
Tumor
-0.2
412
Normal
-0.2
361
Tumor
-0.2
978
Normal
-0.2
415
Tumor
-0.2
286
Normal
-0.2
1043
Tumor
-0.2
951
Tumor
-0.2
344
Normal
-0.2
923
Tumor
-0.2
352
Normal
-0.2
698
Normal
-0.2
231
Tumor
-0.3
434
Normal
-0.3
285
Tumor
-0.3
267
Tumor
-0.3
567
Tumor
-0.3
966
Normal
-0.3
467
Tumor
-0.3
413
Tumor
-0.3
366
Normal
-0.3
528
Normal
-0.3
943
Tumor
-0.3
427
Tumor
-0.3
957
Tumor
-0.3
353
Tumor
-0.3
627
Tumor
-0.3
873
Tumor
-0.3
473
Tumor
-0.3
685
Tumor
-0.4
357
Tumor
-0.4
393
Tumor
-0.4
311
Tumor
-0.4
1025
Tumor
-0.4
955
Tumor
-0.4
385
Tumor
-0.4
867
Tumor
-0.4
351
Tumor
-0.4
573
Tumor
-0.5
447
Tumor
-0.5
861
Tumor
-0.5
661
Tumor
-0.5
213
Tumor
-0.5
721
Tumor
-0.6
537
Tumor
-0.7
493
Tumor
-0.7
1031
Tumor
-0.7
533
Tumor
-0.7
411
Tumor
-0.7
211
Tumor
-1.0
1013
Tumor
-1.0
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.
The Human Protein Atlas project is funded
