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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.
PTMA is validated prognostic, high expression is unfavorable 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 TPM
605.4
Number of samples
362
Samples
Sample
Description
TPM
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
2173.7
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
2061.2
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
1828.8
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
1689.2
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
1608.1
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1533.1
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1494.3
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
1379.9
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1377.9
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
1348.0
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1291.1
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
1285.6
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
1224.1
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1219.6
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1219.4
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
1214.8
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
1181.4
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1167.1
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1164.8
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
1151.6
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
1142.1
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1119.5
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1115.6
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1070.5
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1068.9
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1064.4
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1041.3
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1038.8
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
1035.8
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1034.1
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
1020.8
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
1018.8
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
1008.3
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
1007.3
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
977.0
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
971.1
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
966.4
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
955.6
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
937.6
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
931.7
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
927.0
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
923.9
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
922.4
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
915.1
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
912.8
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
911.0
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
909.7
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
899.9
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
897.8
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
892.2
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
891.2
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
876.6
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
874.8
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
866.5
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
860.6
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
859.6
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
858.6
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
849.5
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
842.9
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
835.5
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
833.5
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
826.2
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
826.1
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
822.7
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
813.1
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
811.6
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
811.0
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
809.7
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
809.5
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
805.7
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
803.7
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
799.1
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
793.3
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
790.7
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
782.3
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
779.2
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
777.6
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
774.5
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
771.5
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
765.5
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
764.6
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
763.4
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
756.9
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
752.1
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
751.7
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
749.8
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
741.0
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
739.7
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
733.9
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
733.1
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
725.8
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
724.3
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
719.2
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
718.8
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
716.5
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
715.6
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
711.9
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
711.5
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
706.4
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
703.7
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
695.8
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
693.3
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
692.8
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
692.6
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
692.3
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
691.7
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
689.5
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
686.5
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
685.2
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
683.9
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
683.1
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
683.1
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
682.9
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
682.1
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
681.4
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
678.8
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
672.3
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
666.4
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
666.0
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
662.2
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
662.0
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
659.9
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
651.7
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
651.1
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
647.2
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
639.4
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
638.4
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
635.0
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
631.8
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
624.3
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
622.6
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
620.7
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
620.2
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
616.7
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
613.0
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
608.6
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
607.6
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
605.2
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
604.3
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
599.4
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
599.1
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
598.5
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
596.7
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
596.0
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
595.7
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
595.6
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
591.3
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
590.8
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
584.0
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
583.4
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
582.7
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
579.7
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
576.1
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
574.6
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
570.6
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
569.0
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
566.5
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
565.6
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
565.2
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
564.2
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
563.5
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
561.5
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
559.1
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
554.0
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
553.5
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
551.0
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
548.5
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
545.4
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
545.0
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
543.2
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
541.8
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
541.1
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
540.6
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
540.5
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
539.3
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
538.5
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
537.9
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
537.7
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
537.4
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
537.4
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
537.2
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
536.5
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
535.5
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
535.2
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
534.2
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
532.4
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
531.4
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
529.1
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
524.8
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
523.9
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
523.6
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
520.7
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
520.7
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
518.9
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
513.3
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
511.4
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
511.2
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
510.0
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
507.3
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
507.1
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
507.0
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
505.1
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
504.9
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
504.4
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
503.5
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
503.2
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
501.7
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
499.9
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
498.7
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
498.6
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
496.3
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
495.0
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
491.1
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
487.5
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
486.8
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
482.4
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
480.2
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
477.1
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
477.1
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
475.3
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
474.2
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
469.0
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
468.1
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
467.1
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
466.2
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
465.0
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
464.8
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
464.5
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
463.1
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
462.1
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
462.0
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
460.3
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
459.5
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
452.4
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
452.4
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
452.3
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
452.0
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
451.7
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
451.6
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
450.8
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
449.2
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
445.1
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
443.6
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
443.4
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
442.0
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
439.4
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
436.0
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
435.0
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
434.0
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
433.9
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
433.3
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
431.5
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
431.4
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
431.4
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
429.8
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
428.3
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
427.9
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
421.6
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
421.4
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
420.5
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
420.3
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
420.1
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
419.8
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
417.4
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
416.0
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
410.6
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
410.2
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
410.0
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
409.4
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
409.3
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
406.9
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
406.8
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
406.6
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
405.8
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
405.3
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
404.3
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
403.9
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
403.3
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
401.8
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
401.1
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
399.6
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
398.9
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
398.5
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
397.7
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
396.8
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
393.8
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
391.7
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
390.8
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
390.0
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
389.1
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
387.5
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
386.2
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
386.1
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
382.6
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
382.5
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
381.7
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
380.6
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
378.3
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
374.5
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
374.0
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
369.6
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
369.1
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
368.2
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
363.7
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
363.1
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
362.3
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
361.7
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
360.2
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
360.0
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
358.2
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
357.2
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
353.6
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
351.4
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
350.8
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
350.6
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
350.6
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
349.8
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
349.6
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
349.4
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
348.5
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
344.3
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
344.0
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
339.0
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
333.9
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
333.0
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
331.5
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
324.5
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
323.3
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
322.5
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
322.5
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
322.0
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
316.5
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
310.3
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
307.2
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
306.0
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
303.5
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
299.1
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
296.4
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
291.8
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
283.0
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
277.3
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
275.5
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
273.7
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
272.9
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
272.2
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
270.7
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
270.4
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
270.3
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
266.4
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
261.6
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
260.6
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
254.4
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
238.0
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
233.7
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
228.7
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
218.0
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
209.3
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
190.1
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
189.1
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
177.6
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
149.8
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 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.
PTMA is validated prognostic, high expression is unfavorable 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 TPM
558.8
Number of samples
231
Samples
Sample
Description
TPM
DO45301
56 years, male, NA, stage:2, dead, 1440 days
1860.9
DO45299
70 years, female, NA, stage:1, alive, 1440 days
1590.5
DO45287
74 years, male, NA, stage:1, alive, 390 days
1459.9
DO45297
61 years, female, NA, stage:4, dead, 1260 days
1405.5
DO45145
78 years, male, NA, stage:3, dead, 60 days
1393.2
DO45211
76 years, male, NA, stage:3, alive, 240 days
1307.4
DO45307
54 years, female, NA, stage:4, dead, 240 days
1222.6
DO45289
78 years, female, NA, stage:3, alive, 360 days
1189.3
DO50778
60 years, male, NA, stage:4, alive, 630 days
1174.6
DO23519
65 years, male, NA, stage:3, alive, 630 days
1150.3
DO23516
69 years, male, NA, stage:3, dead, 20 days
1144.5
DO45185
89 years, male, NA, stage:2, alive, 600 days
1126.8
DO45093
71 years, male, NA, stage:2, dead, 720 days
1104.5
DO23526
66 years, male, NA, stage:3, alive, 1050 days
1080.2
DO50829
78 years, male, NA, stage:3, alive, 570 days
1067.5
DO45283
60 years, male, NA, stage:3, alive, 510 days
1030.9
DO45305
66 years, male, NA, stage:4, alive, 300 days
1026.9
DO45209
70 years, male, NA, stage:4, alive, 1350 days
994.4
DO45277
64 years, male, NA, stage:3, alive, 600 days
959.6
DO23549
74 years, male, NA, stage:3, alive, 990 days
919.8
DO45269
59 years, male, NA, stage:3, alive, 750 days
915.8
DO50791
79 years, female, NA, stage:1, dead, 480 days
910.6
DO45263
67 years, male, NA, stage:3, dead, 270 days
909.2
DO45127
73 years, male, NA, stage:3, dead, 420 days
901.9
DO23530
53 years, male, NA, stage:4, dead, 180 days
880.5
DO45205
67 years, female, NA, stage:2, dead, 90 days
880.5
DO45251
57 years, female, NA, stage:2, alive, 900 days
864.2
DO23537
79 years, male, NA, stage:2, dead, 900 days
863.0
DO45245
75 years, female, NA, stage:2, dead, 240 days
845.9
DO48697
64 years, female, NA, stage:2, dead, 810 days
825.4
DO48717
54 years, male, NA, stage:4, dead, 180 days
821.8
DO45285
59 years, male, NA, stage:3, alive, 480 days
816.8
DO23521
63 years, male, NA, stage:3, alive, 1110 days
807.5
DO45253
50 years, male, NA, stage:2, alive, 870 days
793.1
DO45225
69 years, male, NA, stage:1, alive, 1050 days
788.9
DO23543
63 years, male, NA, stage:2, alive, 1020 days
777.8
DO50806
70 years, male, NA, stage:4, alive, 540 days
777.6
DO45249
57 years, male, NA, stage:1, alive, 630 days
772.9
DO45279
67 years, male, NA, stage:3, alive, 1290 days
767.9
DO23547
74 years, male, NA, stage:1, alive, 1020 days
761.8
DO45267
73 years, male, NA, stage:3, dead, 570 days
759.2
DO48720
62 years, female, NA, stage:2, alive, 570 days
750.6
DO45161
74 years, male, NA, stage:2, dead, 540 days
736.5
DO23525
71 years, male, NA, stage:4, alive, 1050 days
732.2
DO50811
62 years, male, NA, stage:1, alive, 450 days
731.9
DO48747
62 years, male, NA, stage:3, alive, 540 days
729.2
DO48728
74 years, female, NA, stage:2, alive, 150 days
727.1
DO45275
65 years, male, NA, stage:3, dead, 10 days
724.8
DO45237
58 years, male, NA, stage:2, alive, 900 days
721.9
DO45125
58 years, male, NA, stage:3, alive, 1680 days
721.3
DO23524
71 years, female, NA, stage:2, alive, 1050 days
703.9
DO45193
68 years, female, NA, stage:4, dead, 120 days
703.5
DO50800
74 years, male, NA, stage:2, alive, 510 days
700.0
DO45273
62 years, male, NA, stage:2, alive, 480 days
694.8
DO45103
47 years, male, NA, stage:3, alive, 450 days
680.7
DO45139
63 years, male, NA, stage:3, alive, 1320 days
680.5
DO50857
72 years, male, NA, stage:2, alive, 210 days
679.9
DO45235
68 years, female, NA, stage:1, alive, 900 days
675.8
DO48741
64 years, male, NA, stage:3, alive, 240 days
670.8
DO23523
52 years, male, NA, stage:3, alive, 1080 days
668.9
DO23533
61 years, male, NA, stage:2, alive, 900 days
665.7
DO45241
49 years, male, NA, stage:1, alive, 1080 days
664.1
DO48723
73 years, male, NA, stage:1, alive, 600 days
663.5
DO45117
73 years, female, NA, stage:2, dead, 1110 days
662.8
DO48737
52 years, male, NA, stage:1, alive, 720 days
654.8
DO45261
74 years, male, NA, stage:3, alive, 990 days
639.9
DO23542
66 years, male, NA, stage:3, alive, 960 days
631.2
DO45157
62 years, male, NA, stage:2, alive, 1980 days
623.8
DO23515
71 years, male, NA, stage:2, alive, 1230 days
622.7
DO50799
66 years, female, NA, stage:2, alive, 540 days
622.7
DO48733
72 years, male, NA, stage:2, alive, 600 days
615.9
DO45155
69 years, male, NA, stage:2, alive, 2160 days
613.4
DO48757
68 years, female, NA, stage:3, alive, 480 days
612.8
DO45243
74 years, female, NA, stage:3, alive, 930 days
610.5
DO45095
66 years, male, NA, stage:2, alive, 1620 days
608.7
DO45131
53 years, male, NA, stage:4, dead, 360 days
607.8
DO45303
62 years, female, NA, stage:3, alive, 990 days
600.2
DO23539
77 years, male, NA, stage:1, alive, 1110 days
600.0
DO45092
62 years, male, NA, stage:4, dead, 1200 days
597.0
DO50855
47 years, male, NA, stage:2, alive, 570 days
594.5
DO23546
63 years, male, NA, stage:2, alive, 1050 days
591.2
DO45213
58 years, male, NA, stage:1, alive, 1200 days
590.7
DO45153
77 years, female, NA, stage:2, alive, 1380 days
590.2
DO45189
85 years, female, NA, stage:2, alive, 1200 days
583.9
DO23510
80 years, female, NA, stage:2, alive, 870 days
579.9
DO50825
70 years, male, NA, stage:2, alive, 390 days
572.6
DO50809
56 years, male, NA, stage:3, dead, 720 days
571.4
DO50815
62 years, male, NA, stage:3, alive, 150 days
567.5
DO45141
73 years, male, NA, stage:2, alive, 1320 days
562.9
DO50805
72 years, male, NA, stage:2, alive, 690 days
561.5
DO50814
83 years, male, NA, stage:3, alive, 420 days
559.0
DO45135
77 years, male, NA, stage:1, alive, 1410 days
558.1
DO45207
68 years, male, NA, stage:1, alive, 1050 days
556.1
DO50798
77 years, male, NA, stage:3, dead, 30 days
552.4
DO45091
56 years, male, NA, stage:2, dead, 1320 days
550.9
DO50819
72 years, female, NA, stage:2, alive, 510 days
550.5
DO45123
78 years, female, NA, stage:2, dead, 570 days
549.6
DO45165
75 years, male, NA, stage:2, alive, 690 days
548.2
DO45281
83 years, male, NA, stage:4, alive, 750 days
546.4
DO23514
64 years, male, NA, stage:2, alive, 1290 days
544.7
DO23508
79 years, female, NA, stage:2, alive, 390 days
540.8
DO50802
49 years, male, NA, stage:2, alive, 930 days
539.0
DO48682
72 years, female, NA, stage:3, dead, 120 days
537.5
DO45099
46 years, male, NA, stage:3, alive, 1590 days
537.0
DO50803
62 years, female, NA, stage:1, alive, 540 days
533.1
DO45137
38 years, male, NA, stage:1, alive, 1320 days
531.2
DO48706
72 years, male, NA, stage:2, alive, 870 days
524.3
DO45183
72 years, female, NA, stage:2, dead, 570 days
519.1
DO23513
76 years, male, NA, stage:3, alive, 1200 days
513.3
DO45217
69 years, female, NA, stage:3, dead, 270 days
512.2
DO48704
68 years, female, NA, stage:3, alive, 750 days
506.3
DO48712
50 years, male, NA, stage:2, alive, 810 days
505.5
DO50785
37 years, male, NA, stage:4, dead, 90 days
505.4
DO45097
69 years, male, NA, stage:3, alive, 1620 days
503.4
DO48732
73 years, male, NA, stage:3, alive, 630 days
500.4
DO48700
78 years, female, NA, stage:2, alive, 810 days
499.2
DO23509
60 years, male, NA, stage:3, dead, 780 days
497.0
DO45259
65 years, male, NA, stage:3, alive, 330 days
496.6
DO45221
75 years, female, NA, stage:4, dead, 390 days
489.3
DO23512
60 years, male, NA, stage:1, alive, 1260 days
488.1
DO45257
46 years, male, NA, stage:3, alive, 810 days
486.5
DO48730
73 years, female, NA, stage:2, alive, 630 days
484.3
DO45121
61 years, male, NA, stage:3, alive, 1530 days
484.1
DO50807
67 years, male, NA, stage:1, alive, 540 days
483.3
DO45231
84 years, male, NA, stage:2, alive, 930 days
481.7
DO45239
42 years, male, NA, stage:2, alive, 870 days
476.2
DO45265
73 years, male, NA, stage:3, alive, 1020 days
475.3
DO50776
75 years, male, NA, stage:1, alive, 690 days
473.4
DO45223
67 years, male, NA, stage:4, alive, 1020 days
472.8
DO45219
78 years, male, NA, stage:2, alive, 1080 days
464.6
DO45233
83 years, male, NA, stage:3, alive, 900 days
460.6
DO45143
69 years, male, NA, stage:3, alive, 1290 days
460.4
DO48681
57 years, male, NA, stage:2, alive, 900 days
451.1
DO48715
58 years, female, NA, stage:2, dead, 690 days
450.7
DO227801
77 years, female, NA, stage:1, alive, 660 days
449.2
DO48736
76 years, female, NA, stage:1, alive, 600 days
448.5
DO50859
77 years, male, NA, stage:2, alive, 180 days
445.4
DO23548
78 years, female, NA, stage:1, alive, 840 days
441.6
DO50817
75 years, male, NA, stage:2, alive, 390 days
440.3
DO23528
45 years, female, NA, stage:2, alive, 1020 days
440.2
DO48725
66 years, male, NA, stage:1, alive, 780 days
435.9
DO45229
74 years, male, NA, stage:1, alive, 990 days
435.6
DO50844
75 years, male, NA, stage:4, alive, 300 days
435.1
DO45096
69 years, male, NA, stage:2, dead, 1290 days
431.5
DO50850
74 years, male, NA, stage:3, alive, 720 days
431.0
DO45159
65 years, male, NA, stage:3, alive, 1470 days
430.4
DO23544
67 years, male, NA, stage:2, alive, 960 days
426.1
DO23545
67 years, male, NA, stage:2, dead, 570 days
424.0
DO48693
71 years, male, NA, stage:2, alive, 900 days
423.0
DO50808
68 years, male, NA, stage:2, alive, 570 days
421.0
DO45119
74 years, male, NA, stage:3, dead, 510 days
416.6
DO23535
67 years, male, NA, stage:1, alive, 960 days
415.8
DO23511
83 years, female, NA, stage:3, dead, 180 days
415.5
DO45187
32 years, female, NA, stage:1, alive, 1260 days
413.1
DO50793
76 years, male, NA, stage:4, alive, 540 days
412.3
DO45169
74 years, male, NA, stage:3, alive, 1350 days
406.2
DO45203
71 years, female, NA, stage:2, alive, 1170 days
401.4
DO23529
72 years, male, NA, stage:4, alive, 930 days
400.2
DO45247
31 years, female, NA, stage:2, alive, 210 days
399.5
DO50822
66 years, male, NA, stage:2, alive, 510 days
397.9
DO48759
73 years, male, NA, stage:3, alive, 720 days
394.5
DO45113
58 years, male, NA, stage:3, alive, 1560 days
393.8
DO48743
69 years, female, NA, stage:2, alive, 570 days
392.7
DO50818
65 years, male, NA, stage:2, alive, 510 days
391.7
DO50840
49 years, male, NA, stage:2, alive, 330 days
388.6
DO48701
78 years, male, NA, stage:2, alive, 780 days
386.5
DO45109
63 years, male, NA, stage:2, alive, 1590 days
386.5
DO23536
56 years, male, NA, stage:2, alive, 930 days
386.3
DO50813
56 years, male, NA, stage:2, alive, 420 days
386.1
DO48751
68 years, male, NA, stage:2, dead, 480 days
384.7
DO48761
55 years, male, NA, stage:2, alive, 870 days
377.7
DO48719
80 years, male, NA, stage:2, alive, 690 days
375.1
DO45101
63 years, male, NA, stage:2, alive, 1680 days
372.8
DO48746
76 years, male, NA, stage:3, alive, 570 days
368.8
DO45173
63 years, male, NA, stage:3, alive, 1170 days
368.5
DO50820
77 years, female, NA, stage:3, alive, 510 days
366.7
DO45255
81 years, male, NA, stage:3, alive, 720 days
366.3
DO45163
76 years, male, NA, stage:2, alive, 960 days
366.2
DO23541
65 years, male, NA, stage:2, alive, 930 days
365.6
DO48760
70 years, female, NA, stage:2, alive, 690 days
363.2
DO50832
73 years, male, NA, stage:3, alive, 90 days
363.0
DO45199
86 years, female, NA, stage:2, alive, 1350 days
362.4
DO45177
81 years, female, NA, stage:3, alive, 1260 days
360.6
DO45201
49 years, male, NA, stage:1, alive, 900 days
358.4
DO50783
62 years, male, NA, stage:3, alive, 480 days
354.2
DO45215
65 years, male, NA, stage:2, alive, 1170 days
350.4
DO50804
81 years, male, NA, stage:2, alive, 720 days
347.7
DO45181
84 years, female, NA, stage:2, alive, 1200 days
346.1
DO48679
72 years, male, NA, stage:2, alive, 1200 days
345.2
DO23550
69 years, male, NA, stage:1, alive, 990 days
343.7
DO23532
71 years, female, NA, stage:1, alive, 960 days
339.6
DO48742
76 years, male, NA, stage:2, alive, 600 days
339.2
DO48672
81 years, male, NA, stage:2, alive, 450 days
338.7
DO45115
81 years, male, NA, stage:2, alive, 840 days
338.3
DO48727
81 years, female, NA, stage:2, dead, 390 days
338.0
DO23538
67 years, male, NA, stage:2, alive, 450 days
336.1
DO48716
71 years, male, NA, stage:2, alive, 720 days
334.9
DO23551
73 years, male, NA, stage:3, dead, 150 days
334.3
DO45179
78 years, female, NA, stage:2, alive, 600 days
332.4
DO45105
61 years, male, NA, stage:1, alive, 1680 days
331.1
DO48677
58 years, male, NA, stage:3, alive, 1140 days
329.0
DO23518
67 years, male, NA, stage:2, alive, 1320 days
318.5
DO50816
63 years, male, NA, stage:2, alive, 390 days
310.5
DO227643
79 years, male, NA, stage:2, alive, 1260 days
303.3
DO23540
73 years, male, NA, stage:1, alive, 750 days
300.7
DO50789
73 years, female, NA, stage:2, alive, 570 days
297.5
DO50787
63 years, male, NA, stage:3, alive, 480 days
290.7
DO23527
72 years, male, NA, stage:1, alive, 1050 days
289.4
DO23534
60 years, male, NA, stage:2, alive, 840 days
280.5
DO45195
62 years, male, NA, stage:1, alive, 390 days
278.0
DO23517
62 years, male, NA, stage:2, alive, 1200 days
276.0
DO50845
72 years, male, NA, stage:3, alive, 210 days
272.4
DO45133
64 years, male, NA, stage:3, dead, 660 days
269.5
DO50774
68 years, female, NA, stage:2, alive, 720 days
262.5
DO45171
56 years, male, NA, stage:3, alive, 600 days
260.1
DO45227
57 years, female, NA, stage:2, alive, 1020 days
259.1
DO48674
80 years, male, NA, stage:2, alive, 1260 days
251.1
DO45175
74 years, male, NA, stage:2, alive, 1140 days
246.0
DO23531
78 years, female, NA, stage:3, alive, 900 days
241.9
DO50839
47 years, female, NA, stage:3, alive, 330 days
241.5
DO45149
70 years, female, NA, stage:2, alive, 1260 days
239.9
DO45197
51 years, male, NA, stage:2, alive, 1170 days
238.4
DO48695
77 years, male, NA, stage:2, alive, 720 days
223.1
DO45129
61 years, male, NA, stage:3, alive, 1470 days
215.9
DO45167
67 years, male, NA, stage:2, dead, 1440 days
209.2
DO23552
80 years, female, NA, stage:1, alive, 810 days
202.0
DO45191
61 years, female, NA, stage:2, alive, 1200 days
201.9
DO45111
74 years, male, NA, stage:2, alive, 1590 days
193.0
DO45094
76 years, male, NA, stage:3, alive, 1650 days
191.1
DO45107
63 years, female, NA, stage:2, alive, 1710 days
180.4
DO48721
58 years, female, NA, stage:1, alive, 900 days
132.9
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LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
131
Tumor
1.7
211
Tumor
1.7
497
Tumor
1.6
743
Tumor
1.6
357
Tumor
1.2
355
Tumor
1.2
411
Tumor
1.0
473
Tumor
1.0
1025
Tumor
1.0
814
Normal
1.0
297
Tumor
1.0
957
Tumor
1.0
917
Tumor
0.9
963
Tumor
0.9
567
Tumor
0.9
517
Tumor
0.9
953
Tumor
0.9
823
Tumor
0.8
813
Tumor
0.8
387
Tumor
0.8
545
Tumor
0.8
1013
Tumor
0.8
535
Tumor
0.8
737
Tumor
0.8
427
Tumor
0.8
965
Tumor
0.8
571
Tumor
0.8
1031
Tumor
0.8
311
Tumor
0.8
527
Tumor
0.8
525
Tumor
0.7
425
Tumor
0.7
951
Tumor
0.7
923
Tumor
0.7
431
Tumor
0.7
724
Normal
0.7
351
Tumor
0.7
661
Tumor
0.7
161
Tumor
0.7
447
Tumor
0.7
943
Tumor
0.6
283
Tumor
0.6
697
Tumor
0.6
695
Tumor
0.6
313
Tumor
0.6
483
Tumor
0.6
343
Tumor
0.6
493
Tumor
0.6
227
Tumor
0.6
433
Tumor
0.6
277
Tumor
0.6
727
Tumor
0.6
983
Tumor
0.6
487
Tumor
0.6
967
Tumor
0.6
977
Tumor
0.5
877
Tumor
0.5
533
Tumor
0.5
443
Tumor
0.5
445
Tumor
0.5
663
Tumor
0.5
573
Tumor
0.5
478
Normal
0.5
1021
Tumor
0.5
536
Normal
0.5
863
Tumor
0.5
715
Tumor
0.4
685
Tumor
0.4
455
Tumor
0.4
492
Normal
0.4
463
Tumor
0.4
171
Tumor
0.4
523
Tumor
0.4
465
Tumor
0.4
671
Tumor
0.4
498
Normal
0.4
721
Tumor
0.4
524
Normal
0.4
975
Tumor
0.4
665
Tumor
0.4
647
Tumor
0.4
615
Tumor
0.4
883
Tumor
0.4
423
Tumor
0.4
861
Tumor
0.4
231
Tumor
0.4
213
Tumor
0.4
444
Normal
0.3
285
Tumor
0.3
185
Tumor
0.3
268
Normal
0.3
223
Tumor
0.3
331
Tumor
0.3
413
Tumor
0.3
361
Tumor
0.3
383
Tumor
0.3
557
Tumor
0.3
865
Tumor
0.3
385
Tumor
0.3
1041
Tumor
0.3
435
Tumor
0.3
191
Tumor
0.3
873
Tumor
0.3
415
Tumor
0.3
785
Tumor
0.3
125
Tumor
0.3
563
Tumor
0.3
267
Tumor
0.3
141
Tumor
0.2
881
Tumor
0.2
817
Tumor
0.2
537
Tumor
0.2
635
Tumor
0.2
966
Normal
0.2
421
Tumor
0.2
393
Tumor
0.2
112
Tumor
0.2
741
Tumor
0.2
471
Tumor
0.2
857
Tumor
0.1
461
Tumor
0.1
713
Tumor
0.1
491
Tumor
0.1
978
Normal
0.1
553
Tumor
0.1
217
Tumor
0.1
367
Tumor
0.1
271
Tumor
0.1
958
Normal
0.1
192
Normal
0.1
434
Normal
0.1
672
Normal
0.1
937
Tumor
0.1
516
Normal
0.1
976
Normal
0.1
195
Tumor
0.1
538
Normal
0.1
716
Normal
0.1
1045
Tumor
0.1
777
Tumor
0.0
867
Tumor
0.0
135
Tumor
0.0
515
Tumor
0.0
375
Tumor
0.0
363
Tumor
0.0
916
Normal
0.0
187
Tumor
0.0
212
Normal
0.0
913
Tumor
0.0
481
Tumor
0.0
467
Tumor
0.0
188
Normal
0.0
137
Tumor
0.0
964
Normal
0.0
744
Normal
-0.1
755
Tumor
-0.1
641
Tumor
-0.1
756
Normal
-0.1
488
Normal
-0.1
686
Normal
-0.1
224
Normal
-0.1
146
Normal
-0.1
327
Tumor
-0.1
666
Normal
-0.1
921
Tumor
-0.1
391
Tumor
-0.1
954
Normal
-0.1
341
Tumor
-0.1
696
Normal
-0.1
364
Normal
-0.1
662
Normal
-0.1
664
Normal
-0.1
353
Tumor
-0.1
786
Normal
-0.1
451
Tumor
-0.1
432
Normal
-0.1
261
Tumor
-0.1
714
Normal
-0.1
384
Normal
-0.1
477
Tumor
-0.1
778
Normal
-0.1
484
Normal
-0.2
412
Normal
-0.2
518
Normal
-0.2
344
Normal
-0.2
955
Tumor
-0.2
257
Tumor
-0.2
472
Normal
-0.2
554
Normal
-0.2
1032
Normal
-0.2
944
Normal
-0.2
914
Normal
-0.2
924
Normal
-0.2
746
Normal
-0.2
858
Normal
-0.2
386
Normal
-0.2
1015
Tumor
-0.2
1028
Normal
-0.2
147
Tumor
-0.2
145
Tumor
-0.2
494
Normal
-0.2
648
Normal
-0.2
395
Tumor
-0.2
952
Normal
-0.2
1022
Normal
-0.2
426
Normal
-0.2
546
Normal
-0.2
446
Normal
-0.3
878
Normal
-0.3
1043
Tumor
-0.3
126
Normal
-0.3
284
Normal
-0.3
482
Normal
-0.3
352
Normal
-0.3
968
Normal
-0.3
852
Normal
-0.3
938
Normal
-0.3
262
Normal
-0.3
926
Normal
-0.3
526
Normal
-0.3
514
Normal
-0.3
127
Tumor
-0.3
328
Normal
-0.3
1044
Normal
-0.3
558
Normal
-0.3
362
Normal
-0.3
1042
Normal
-0.3
925
Tumor
-0.3
228
Normal
-0.3
474
Normal
-0.3
745
Tumor
-0.3
815
Tumor
-0.3
448
Normal
-0.3
272
Normal
-0.3
918
Normal
-0.3
312
Normal
-0.3
356
Normal
-0.3
462
Normal
-0.3
874
Normal
-0.3
627
Tumor
-0.3
424
Normal
-0.3
162
Normal
-0.3
984
Normal
-0.4
534
Normal
-0.4
617
Tumor
-0.4
922
Normal
-0.4
528
Normal
-0.4
123
Tumor
-0.4
698
Normal
-0.4
1046
Normal
-0.4
416
Normal
-0.4
628
Normal
-0.4
1026
Normal
-0.4
738
Normal
-0.4
258
Normal
-0.4
868
Normal
-0.4
221
Tumor
-0.4
956
Normal
-0.4
138
Normal
-0.4
981
Tumor
-0.4
428
Normal
-0.4
422
Normal
-0.4
1014
Normal
-0.4
366
Normal
-0.4
728
Normal
-0.4
864
Normal
-0.4
722
Normal
-0.4
982
Normal
-0.4
392
Normal
-0.4
365
Tumor
-0.4
396
Normal
-0.4
388
Normal
-0.4
572
Normal
-0.4
286
Normal
-0.5
136
Normal
-0.5
358
Normal
-0.5
394
Normal
-0.5
1016
Normal
-0.5
298
Normal
-0.5
1027
Tumor
-0.5
915
Tumor
-0.5
354
Normal
-0.5
148
Normal
-0.5
214
Normal
-0.5
456
Normal
-0.5
851
Tumor
-0.5
414
Normal
-0.5
723
Tumor
-0.5
172
Normal
-0.5
866
Normal
-0.5
368
Normal
-0.5
912
Normal
-0.5
332
Normal
-0.5
232
Normal
-0.5
142
Normal
-0.5
618
Normal
-0.5
278
Normal
-0.5
862
Normal
-0.5
464
Normal
-0.6
342
Normal
-0.6
124
Normal
-0.6
113
Tumor
-0.6
884
Normal
-0.6
742
Normal
-0.6
222
Normal
-0.6
114
Normal
-0.6
574
Normal
-0.6
218
Normal
-0.6
824
Normal
-0.6
564
Normal
-0.6
513
Tumor
-0.6
816
Normal
-0.6
196
Normal
-0.6
186
Normal
-0.7
436
Normal
-0.7
468
Normal
-0.7
882
Normal
-0.7
616
Normal
-0.7
636
Normal
-0.7
568
Normal
-0.7
132
Normal
-0.7
466
Normal
-0.7
911
Tumor
-0.7
376
Normal
-0.7
642
Normal
-0.8
452
Normal
-0.8
818
Normal
-0.9
111
Normal
-0.9
314
Normal
-0.9
128
Normal
-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.