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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.
EDF1 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
673.7
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
2460.8
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
1931.1
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
1816.1
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1757.1
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
1581.4
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
1540.0
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1449.3
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1431.8
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
1422.1
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
1414.6
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
1365.6
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
1346.3
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
1325.8
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
1309.9
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
1306.4
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1302.0
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
1275.0
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
1256.1
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1227.2
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
1225.7
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
1221.8
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1208.0
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1200.2
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1199.6
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1197.4
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1175.4
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
1138.2
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
1137.3
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1132.0
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
1091.8
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
1081.2
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1080.5
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1073.9
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1071.0
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1066.2
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
1065.2
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1059.6
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
1059.0
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
1033.0
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1026.3
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
1025.2
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1023.9
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1011.0
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
1007.5
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
1005.2
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
999.3
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
975.3
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
973.3
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
972.5
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
968.3
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
967.6
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
964.0
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
953.0
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
952.6
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
946.5
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
939.8
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
933.8
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
929.8
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
921.6
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
907.6
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
906.3
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
902.4
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
896.0
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
895.4
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
893.8
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
891.1
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
888.8
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
888.0
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
884.6
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
884.1
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
881.2
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
880.5
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
877.4
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
876.7
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
867.4
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
867.0
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
861.4
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
840.8
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
832.2
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
832.1
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
831.9
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
828.8
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
827.4
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
826.5
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
823.5
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
821.9
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
821.1
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
817.0
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
815.8
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
815.7
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
813.4
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
803.2
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
799.3
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
796.7
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
792.2
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
791.1
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
789.7
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
788.5
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
786.0
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
782.7
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
782.0
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
778.8
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
778.1
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
775.5
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
767.4
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
766.8
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
764.8
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
764.0
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
763.8
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
754.4
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
749.2
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
748.6
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
745.7
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
743.3
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
742.3
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
737.3
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
735.6
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
735.4
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
732.3
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
731.1
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
730.9
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
730.7
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
724.4
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
721.4
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
715.3
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
711.3
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
710.4
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
708.3
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
706.3
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
705.3
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
702.7
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
699.2
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
687.3
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
682.2
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
679.5
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
678.8
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
678.6
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
669.0
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
668.4
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
666.5
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
665.8
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
665.4
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
664.5
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
660.9
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
658.9
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
658.7
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
655.7
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
646.2
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
645.6
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
645.5
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
645.3
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
644.5
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
641.6
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
639.8
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
639.8
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
638.4
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
636.9
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
636.1
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
634.2
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
632.4
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
632.3
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
631.4
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
625.9
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
622.7
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
620.8
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
620.2
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
617.5
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
616.3
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
609.7
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
609.5
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
608.0
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
607.4
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
606.4
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
605.4
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
604.9
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
604.8
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
603.5
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
602.1
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
598.5
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
597.9
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
596.4
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
595.7
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
593.4
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
592.3
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
591.1
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
590.6
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
589.8
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
588.4
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
587.0
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
585.8
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
584.3
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
583.8
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
581.8
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
580.2
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
578.1
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
575.5
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
572.1
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
569.9
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
568.3
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
568.3
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
568.0
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
565.1
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
564.4
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
564.4
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
563.9
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
562.8
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
561.7
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
558.9
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
556.5
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
554.4
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
552.2
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
546.7
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
545.7
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
545.2
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
544.9
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
544.5
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
543.8
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
543.5
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
543.4
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
541.6
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
540.5
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
538.9
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
537.4
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
535.6
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
534.9
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
533.0
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
532.4
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
530.8
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
527.6
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
527.3
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
525.8
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
524.9
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
524.7
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
522.6
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
522.4
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
521.9
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
519.5
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
519.0
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
517.1
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
516.9
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
516.8
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
516.1
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
516.1
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
516.0
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
512.7
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
511.9
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
511.2
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
510.8
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
510.3
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
508.4
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
508.0
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
504.5
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
502.2
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
499.8
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
499.5
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
497.2
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
497.0
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
495.2
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
494.1
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
492.0
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
490.7
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
490.7
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
490.0
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
489.5
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
488.2
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
488.1
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
487.9
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
487.6
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
487.0
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
486.8
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
482.2
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
482.1
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
480.5
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
478.9
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
477.7
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
476.9
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
474.2
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
473.9
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
470.4
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
470.3
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
470.0
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
469.9
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
468.5
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
468.3
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
467.9
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
467.8
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
466.6
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
465.0
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
464.3
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
462.4
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
460.8
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
459.0
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
451.8
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
445.9
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
444.8
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
444.7
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
444.2
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
438.6
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
436.6
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
436.5
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
435.4
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
435.3
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
435.0
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
434.1
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
433.1
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
431.6
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
430.9
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
429.5
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
428.4
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
425.2
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
423.4
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
420.0
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
417.9
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
416.6
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
413.9
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
412.5
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
412.0
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
408.3
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
407.9
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
401.5
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
393.9
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
391.5
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
390.9
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
390.6
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
388.2
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
386.7
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
384.4
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
377.6
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
376.8
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
374.6
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
374.5
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
370.9
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
367.0
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
363.2
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
361.3
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
353.9
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
352.7
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
349.7
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
346.0
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
338.8
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
336.7
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
325.8
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
318.7
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
317.4
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
307.4
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
306.4
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
304.2
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
301.2
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
301.1
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
300.7
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
300.4
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
295.3
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
292.9
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
291.0
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
281.8
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
270.3
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
269.9
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
257.1
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
249.4
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
247.8
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
241.3
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 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.
EDF1 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
641.1
Number of samples
231
Samples
Sample
Description
pTPM
DO45209
70 years, male, NA, stage:4, alive, 1350 days
1625.2
DO45149
70 years, female, NA, stage:2, alive, 1260 days
1519.0
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1492.3
DO50814
83 years, male, NA, stage:3, alive, 420 days
1180.9
DO50839
47 years, female, NA, stage:3, alive, 330 days
1176.4
DO48747
62 years, male, NA, stage:3, alive, 540 days
1165.8
DO23513
76 years, male, NA, stage:3, alive, 1200 days
1164.2
DO50816
63 years, male, NA, stage:2, alive, 390 days
1161.6
DO48741
64 years, male, NA, stage:3, alive, 240 days
1158.7
DO50845
72 years, male, NA, stage:3, alive, 210 days
1154.3
DO23511
83 years, female, NA, stage:3, dead, 180 days
1147.9
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1133.4
DO50785
37 years, male, NA, stage:4, dead, 90 days
1054.0
DO45285
59 years, male, NA, stage:3, alive, 480 days
1031.3
DO45125
58 years, male, NA, stage:3, alive, 1680 days
1027.1
DO45277
64 years, male, NA, stage:3, alive, 600 days
1013.6
DO23534
60 years, male, NA, stage:2, alive, 840 days
1007.5
DO48737
52 years, male, NA, stage:1, alive, 720 days
982.4
DO23510
80 years, female, NA, stage:2, alive, 870 days
981.1
DO50791
79 years, female, NA, stage:1, dead, 480 days
978.0
DO45301
56 years, male, NA, stage:2, dead, 1440 days
972.0
DO50798
77 years, male, NA, stage:3, dead, 30 days
970.6
DO50840
49 years, male, NA, stage:2, alive, 330 days
963.9
DO23532
71 years, female, NA, stage:1, alive, 960 days
953.8
DO23508
79 years, female, NA, stage:2, alive, 390 days
923.2
DO48701
78 years, male, NA, stage:2, alive, 780 days
913.9
DO45131
53 years, male, NA, stage:4, dead, 360 days
913.0
DO45267
73 years, male, NA, stage:3, dead, 570 days
909.5
DO45205
67 years, female, NA, stage:2, dead, 90 days
904.9
DO45305
66 years, male, NA, stage:4, alive, 300 days
881.1
DO23547
74 years, male, NA, stage:1, alive, 1020 days
877.7
DO45275
65 years, male, NA, stage:3, dead, 10 days
861.5
DO23540
73 years, male, NA, stage:1, alive, 750 days
860.9
DO23542
66 years, male, NA, stage:3, alive, 960 days
842.6
DO45097
69 years, male, NA, stage:3, alive, 1620 days
842.4
DO45103
47 years, male, NA, stage:3, alive, 450 days
837.0
DO23528
45 years, female, NA, stage:2, alive, 1020 days
836.0
DO45109
63 years, male, NA, stage:2, alive, 1590 days
833.3
DO48717
54 years, male, NA, stage:4, dead, 180 days
831.7
DO45307
54 years, female, NA, stage:4, dead, 240 days
829.4
DO45241
49 years, male, NA, stage:1, alive, 1080 days
821.3
DO50805
72 years, male, NA, stage:2, alive, 690 days
808.6
DO45249
57 years, male, NA, stage:1, alive, 630 days
793.6
DO23519
65 years, male, NA, stage:3, alive, 630 days
791.1
DO45303
62 years, female, NA, stage:3, alive, 990 days
790.5
DO45255
81 years, male, NA, stage:3, alive, 720 days
784.0
DO23548
78 years, female, NA, stage:1, alive, 840 days
783.1
DO50815
62 years, male, NA, stage:3, alive, 150 days
778.8
DO23546
63 years, male, NA, stage:2, alive, 1050 days
778.4
DO48759
73 years, male, NA, stage:3, alive, 720 days
776.8
DO45207
68 years, male, NA, stage:1, alive, 1050 days
772.6
DO45287
74 years, male, NA, stage:1, alive, 390 days
772.3
DO45299
70 years, female, NA, stage:1, alive, 1440 days
764.6
DO23514
64 years, male, NA, stage:2, alive, 1290 days
763.9
DO50844
75 years, male, NA, stage:4, alive, 300 days
747.3
DO48706
72 years, male, NA, stage:2, alive, 870 days
743.0
DO48721
58 years, female, NA, stage:1, alive, 900 days
739.9
DO50811
62 years, male, NA, stage:1, alive, 450 days
739.5
DO45101
63 years, male, NA, stage:2, alive, 1680 days
736.7
DO45253
50 years, male, NA, stage:2, alive, 870 days
736.6
DO45115
81 years, male, NA, stage:2, alive, 840 days
732.7
DO48723
73 years, male, NA, stage:1, alive, 600 days
732.3
DO48719
80 years, male, NA, stage:2, alive, 690 days
730.0
DO45243
74 years, female, NA, stage:3, alive, 930 days
729.0
DO45237
58 years, male, NA, stage:2, alive, 900 days
727.4
DO45145
78 years, male, NA, stage:3, dead, 60 days
726.6
DO45143
69 years, male, NA, stage:3, alive, 1290 days
721.4
DO45235
68 years, female, NA, stage:1, alive, 900 days
716.2
DO48716
71 years, male, NA, stage:2, alive, 720 days
712.0
DO45259
65 years, male, NA, stage:3, alive, 330 days
710.9
DO48730
73 years, female, NA, stage:2, alive, 630 days
709.9
DO50813
56 years, male, NA, stage:2, alive, 420 days
709.2
DO48681
57 years, male, NA, stage:2, alive, 900 days
708.0
DO48695
77 years, male, NA, stage:2, alive, 720 days
703.9
DO48672
81 years, male, NA, stage:2, alive, 450 days
695.2
DO23526
66 years, male, NA, stage:3, alive, 1050 days
694.5
DO23549
74 years, male, NA, stage:3, alive, 990 days
691.0
DO45269
59 years, male, NA, stage:3, alive, 750 days
686.2
DO45095
66 years, male, NA, stage:2, alive, 1620 days
685.3
DO23515
71 years, male, NA, stage:2, alive, 1230 days
685.0
DO227643
79 years, male, NA, stage:2, alive, 1260 days
684.7
DO45185
89 years, male, NA, stage:2, alive, 600 days
681.0
DO45099
46 years, male, NA, stage:3, alive, 1590 days
680.7
DO45183
72 years, female, NA, stage:2, dead, 570 days
680.5
DO50817
75 years, male, NA, stage:2, alive, 390 days
674.9
DO45245
75 years, female, NA, stage:2, dead, 240 days
668.3
DO45155
69 years, male, NA, stage:2, alive, 2160 days
667.4
DO45127
73 years, male, NA, stage:3, dead, 420 days
666.4
DO50809
56 years, male, NA, stage:3, dead, 720 days
661.2
DO23533
61 years, male, NA, stage:2, alive, 900 days
653.4
DO45092
62 years, male, NA, stage:4, dead, 1200 days
649.2
DO45289
78 years, female, NA, stage:3, alive, 360 days
648.5
DO45261
74 years, male, NA, stage:3, alive, 990 days
645.4
DO50800
74 years, male, NA, stage:2, alive, 510 days
643.8
DO45173
63 years, male, NA, stage:3, alive, 1170 days
642.0
DO48682
72 years, female, NA, stage:3, dead, 120 days
641.4
DO45211
76 years, male, NA, stage:3, alive, 240 days
640.1
DO45265
73 years, male, NA, stage:3, alive, 1020 days
638.1
DO50802
49 years, male, NA, stage:2, alive, 930 days
637.1
DO23552
80 years, female, NA, stage:1, alive, 810 days
633.7
DO23516
69 years, male, NA, stage:3, dead, 20 days
631.3
DO45281
83 years, male, NA, stage:4, alive, 750 days
629.0
DO23509
60 years, male, NA, stage:3, dead, 780 days
627.9
DO45213
58 years, male, NA, stage:1, alive, 1200 days
627.6
DO23530
53 years, male, NA, stage:4, dead, 180 days
626.6
DO45093
71 years, male, NA, stage:2, dead, 720 days
626.5
DO48733
72 years, male, NA, stage:2, alive, 600 days
624.2
DO23523
52 years, male, NA, stage:3, alive, 1080 days
621.1
DO50859
77 years, male, NA, stage:2, alive, 180 days
620.9
DO45251
57 years, female, NA, stage:2, alive, 900 days
620.1
DO50783
62 years, male, NA, stage:3, alive, 480 days
618.6
DO23545
67 years, male, NA, stage:2, dead, 570 days
616.5
DO48697
64 years, female, NA, stage:2, dead, 810 days
611.6
DO48693
71 years, male, NA, stage:2, alive, 900 days
611.5
DO50857
72 years, male, NA, stage:2, alive, 210 days
607.6
DO48679
72 years, male, NA, stage:2, alive, 1200 days
607.5
DO48715
58 years, female, NA, stage:2, dead, 690 days
606.3
DO23543
63 years, male, NA, stage:2, alive, 1020 days
604.5
DO50855
47 years, male, NA, stage:2, alive, 570 days
604.2
DO45096
69 years, male, NA, stage:2, dead, 1290 days
604.0
DO45153
77 years, female, NA, stage:2, alive, 1380 days
598.0
DO48728
74 years, female, NA, stage:2, alive, 150 days
596.6
DO23518
67 years, male, NA, stage:2, alive, 1320 days
591.6
DO45107
63 years, female, NA, stage:2, alive, 1710 days
591.5
DO45197
51 years, male, NA, stage:2, alive, 1170 days
590.2
DO23541
65 years, male, NA, stage:2, alive, 930 days
590.1
DO45157
62 years, male, NA, stage:2, alive, 1980 days
589.4
DO50793
76 years, male, NA, stage:4, alive, 540 days
587.9
DO45283
60 years, male, NA, stage:3, alive, 510 days
587.6
DO45227
57 years, female, NA, stage:2, alive, 1020 days
585.3
DO45273
62 years, male, NA, stage:2, alive, 480 days
582.4
DO45221
75 years, female, NA, stage:4, dead, 390 days
581.7
DO23535
67 years, male, NA, stage:1, alive, 960 days
577.7
DO50832
73 years, male, NA, stage:3, alive, 90 days
571.5
DO50804
81 years, male, NA, stage:2, alive, 720 days
569.1
DO45263
67 years, male, NA, stage:3, dead, 270 days
561.1
DO45105
61 years, male, NA, stage:1, alive, 1680 days
559.1
DO45119
74 years, male, NA, stage:3, dead, 510 days
556.4
DO50818
65 years, male, NA, stage:2, alive, 510 days
554.8
DO45121
61 years, male, NA, stage:3, alive, 1530 days
554.3
DO45215
65 years, male, NA, stage:2, alive, 1170 days
553.8
DO45165
75 years, male, NA, stage:2, alive, 690 days
549.3
DO48736
76 years, female, NA, stage:1, alive, 600 days
544.1
DO45217
69 years, female, NA, stage:3, dead, 270 days
543.9
DO45191
61 years, female, NA, stage:2, alive, 1200 days
543.8
DO48757
68 years, female, NA, stage:3, alive, 480 days
541.4
DO45159
65 years, male, NA, stage:3, alive, 1470 days
540.8
DO50799
66 years, female, NA, stage:2, alive, 540 days
540.3
DO50787
63 years, male, NA, stage:3, alive, 480 days
535.9
DO45193
68 years, female, NA, stage:4, dead, 120 days
535.5
DO45171
56 years, male, NA, stage:3, alive, 600 days
535.0
DO48700
78 years, female, NA, stage:2, alive, 810 days
534.9
DO45141
73 years, male, NA, stage:2, alive, 1320 days
534.6
DO23524
71 years, female, NA, stage:2, alive, 1050 days
534.2
DO48725
66 years, male, NA, stage:1, alive, 780 days
534.1
DO48674
80 years, male, NA, stage:2, alive, 1260 days
529.8
DO48761
55 years, male, NA, stage:2, alive, 870 days
527.4
DO45257
46 years, male, NA, stage:3, alive, 810 days
519.5
DO45297
61 years, female, NA, stage:4, dead, 1260 days
519.4
DO50806
70 years, male, NA, stage:4, alive, 540 days
512.0
DO45133
64 years, male, NA, stage:3, dead, 660 days
511.2
DO45167
67 years, male, NA, stage:2, dead, 1440 days
509.0
DO50808
68 years, male, NA, stage:2, alive, 570 days
508.8
DO48751
68 years, male, NA, stage:2, dead, 480 days
497.4
DO45179
78 years, female, NA, stage:2, alive, 600 days
496.0
DO227801
77 years, female, NA, stage:1, alive, 660 days
493.2
DO45135
77 years, male, NA, stage:1, alive, 1410 days
489.0
DO45177
81 years, female, NA, stage:3, alive, 1260 days
488.3
DO23550
69 years, male, NA, stage:1, alive, 990 days
487.3
DO45225
69 years, male, NA, stage:1, alive, 1050 days
484.9
DO23544
67 years, male, NA, stage:2, alive, 960 days
484.5
DO45161
74 years, male, NA, stage:2, dead, 540 days
484.5
DO48704
68 years, female, NA, stage:3, alive, 750 days
481.9
DO45199
86 years, female, NA, stage:2, alive, 1350 days
481.1
DO45219
78 years, male, NA, stage:2, alive, 1080 days
481.1
DO45279
67 years, male, NA, stage:3, alive, 1290 days
478.0
DO45139
63 years, male, NA, stage:3, alive, 1320 days
477.5
DO23521
63 years, male, NA, stage:3, alive, 1110 days
469.5
DO45233
83 years, male, NA, stage:3, alive, 900 days
464.5
DO45094
76 years, male, NA, stage:3, alive, 1650 days
462.8
DO48746
76 years, male, NA, stage:3, alive, 570 days
460.5
DO48742
76 years, male, NA, stage:2, alive, 600 days
459.0
DO50829
78 years, male, NA, stage:3, alive, 570 days
452.5
DO45239
42 years, male, NA, stage:2, alive, 870 days
451.0
DO50820
77 years, female, NA, stage:3, alive, 510 days
449.5
DO45169
74 years, male, NA, stage:3, alive, 1350 days
447.7
DO45201
49 years, male, NA, stage:1, alive, 900 days
447.1
DO48732
73 years, male, NA, stage:3, alive, 630 days
442.1
DO48677
58 years, male, NA, stage:3, alive, 1140 days
441.0
DO23527
72 years, male, NA, stage:1, alive, 1050 days
440.7
DO50822
66 years, male, NA, stage:2, alive, 510 days
440.6
DO48712
50 years, male, NA, stage:2, alive, 810 days
436.5
DO45123
78 years, female, NA, stage:2, dead, 570 days
435.7
DO45231
84 years, male, NA, stage:2, alive, 930 days
435.7
DO45181
84 years, female, NA, stage:2, alive, 1200 days
434.3
DO23551
73 years, male, NA, stage:3, dead, 150 days
434.1
DO45163
76 years, male, NA, stage:2, alive, 960 days
430.1
DO50789
73 years, female, NA, stage:2, alive, 570 days
429.9
DO48743
69 years, female, NA, stage:2, alive, 570 days
422.9
DO23529
72 years, male, NA, stage:4, alive, 930 days
422.6
DO50803
62 years, female, NA, stage:1, alive, 540 days
421.7
DO45247
31 years, female, NA, stage:2, alive, 210 days
421.5
DO50807
67 years, male, NA, stage:1, alive, 540 days
418.4
DO45129
61 years, male, NA, stage:3, alive, 1470 days
411.8
DO23517
62 years, male, NA, stage:2, alive, 1200 days
411.8
DO45187
32 years, female, NA, stage:1, alive, 1260 days
407.6
DO50778
60 years, male, NA, stage:4, alive, 630 days
407.4
DO23531
78 years, female, NA, stage:3, alive, 900 days
405.5
DO23536
56 years, male, NA, stage:2, alive, 930 days
394.7
DO45091
56 years, male, NA, stage:2, dead, 1320 days
391.9
DO45117
73 years, female, NA, stage:2, dead, 1110 days
391.2
DO23538
67 years, male, NA, stage:2, alive, 450 days
390.7
DO50825
70 years, male, NA, stage:2, alive, 390 days
390.5
DO45203
71 years, female, NA, stage:2, alive, 1170 days
386.5
DO48760
70 years, female, NA, stage:2, alive, 690 days
379.6
DO50850
74 years, male, NA, stage:3, alive, 720 days
373.6
DO50819
72 years, female, NA, stage:2, alive, 510 days
370.9
DO23512
60 years, male, NA, stage:1, alive, 1260 days
368.9
DO48720
62 years, female, NA, stage:2, alive, 570 days
362.4
DO45195
62 years, male, NA, stage:1, alive, 390 days
362.4
DO45137
38 years, male, NA, stage:1, alive, 1320 days
359.2
DO45229
74 years, male, NA, stage:1, alive, 990 days
353.5
DO50774
68 years, female, NA, stage:2, alive, 720 days
349.4
DO50776
75 years, male, NA, stage:1, alive, 690 days
343.4
DO45175
74 years, male, NA, stage:2, alive, 1140 days
335.2
DO45189
85 years, female, NA, stage:2, alive, 1200 days
319.7
DO45111
74 years, male, NA, stage:2, alive, 1590 days
298.0
DO23537
79 years, male, NA, stage:2, dead, 900 days
297.4
DO45223
67 years, male, NA, stage:4, alive, 1020 days
294.4
DO45113
58 years, male, NA, stage:3, alive, 1560 days
273.0
DO48727
81 years, female, NA, stage:2, dead, 390 days
156.8
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
497
Tumor
1.4
1021
Tumor
1.3
865
Tumor
1.1
533
Tumor
1.1
965
Tumor
1.1
737
Tumor
0.9
425
Tumor
0.9
663
Tumor
0.9
937
Tumor
0.9
1013
Tumor
0.9
695
Tumor
0.9
487
Tumor
0.8
411
Tumor
0.8
493
Tumor
0.8
977
Tumor
0.8
913
Tumor
0.7
921
Tumor
0.7
951
Tumor
0.7
777
Tumor
0.7
647
Tumor
0.7
515
Tumor
0.7
923
Tumor
0.6
983
Tumor
0.6
513
Tumor
0.6
355
Tumor
0.6
967
Tumor
0.6
567
Tumor
0.6
313
Tumor
0.6
863
Tumor
0.6
881
Tumor
0.6
1025
Tumor
0.6
724
Normal
0.5
477
Tumor
0.5
557
Tumor
0.5
727
Tumor
0.5
743
Tumor
0.5
471
Tumor
0.5
473
Tumor
0.5
285
Tumor
0.5
911
Tumor
0.5
851
Tumor
0.5
267
Tumor
0.5
635
Tumor
0.5
537
Tumor
0.5
1043
Tumor
0.5
523
Tumor
0.5
553
Tumor
0.4
465
Tumor
0.4
1041
Tumor
0.4
1015
Tumor
0.4
483
Tumor
0.4
785
Tumor
0.4
661
Tumor
0.4
484
Normal
0.4
925
Tumor
0.4
943
Tumor
0.4
963
Tumor
0.4
341
Tumor
0.4
1014
Normal
0.4
447
Tumor
0.4
277
Tumor
0.4
617
Tumor
0.4
131
Tumor
0.4
697
Tumor
0.4
953
Tumor
0.4
365
Tumor
0.3
745
Tumor
0.3
123
Tumor
0.3
327
Tumor
0.3
1031
Tumor
0.3
714
Normal
0.3
627
Tumor
0.3
755
Tumor
0.3
968
Normal
0.3
817
Tumor
0.3
554
Normal
0.3
171
Tumor
0.3
984
Normal
0.3
721
Tumor
0.3
955
Tumor
0.3
351
Tumor
0.3
728
Normal
0.3
746
Normal
0.3
518
Normal
0.3
1028
Normal
0.2
912
Normal
0.2
427
Tumor
0.2
696
Normal
0.2
866
Normal
0.2
435
Tumor
0.2
467
Tumor
0.2
966
Normal
0.2
958
Normal
0.2
915
Tumor
0.2
545
Tumor
0.2
546
Normal
0.2
824
Normal
0.2
412
Normal
0.2
918
Normal
0.2
461
Tumor
0.2
462
Normal
0.2
527
Tumor
0.2
514
Normal
0.2
823
Tumor
0.2
135
Tumor
0.2
364
Normal
0.2
571
Tumor
0.2
978
Normal
0.2
1045
Tumor
0.2
922
Normal
0.2
786
Normal
0.2
528
Normal
0.2
383
Tumor
0.2
1044
Normal
0.2
716
Normal
0.2
778
Normal
0.2
852
Normal
0.2
816
Normal
0.2
864
Normal
0.1
516
Normal
0.1
472
Normal
0.1
494
Normal
0.1
474
Normal
0.1
884
Normal
0.1
873
Tumor
0.1
517
Tumor
0.1
698
Normal
0.1
883
Tumor
0.1
916
Normal
0.1
1016
Normal
0.1
228
Normal
0.1
857
Tumor
0.1
161
Tumor
0.1
952
Normal
0.1
957
Tumor
0.1
448
Normal
0.1
572
Normal
0.1
878
Normal
0.1
1026
Normal
0.1
924
Normal
0.1
858
Normal
0.1
938
Normal
0.1
573
Tumor
0.1
535
Tumor
0.1
741
Tumor
0.1
1022
Normal
0.1
862
Normal
0.1
534
Normal
0.1
964
Normal
0.1
723
Tumor
0.1
815
Tumor
0.1
498
Normal
0.1
756
Normal
0.1
286
Normal
0.1
223
Tumor
0.1
415
Tumor
0.1
455
Tumor
0.1
525
Tumor
0.0
975
Tumor
0.0
524
Normal
0.0
353
Tumor
0.0
868
Normal
0.0
558
Normal
0.0
271
Tumor
0.0
141
Tumor
0.0
628
Normal
0.0
944
Normal
0.0
538
Normal
0.0
686
Normal
0.0
395
Tumor
0.0
492
Normal
0.0
482
Normal
0.0
882
Normal
0.0
616
Normal
0.0
1042
Normal
0.0
357
Tumor
0.0
361
Tumor
0.0
722
Normal
0.0
914
Normal
0.0
328
Normal
0.0
536
Normal
0.0
481
Tumor
0.0
284
Normal
0.0
212
Normal
0.0
1032
Normal
0.0
926
Normal
0.0
488
Normal
0.0
982
Normal
0.0
375
Tumor
0.0
443
Tumor
0.0
954
Normal
0.0
413
Tumor
0.0
818
Normal
0.0
356
Normal
0.0
715
Tumor
0.0
211
Tumor
0.0
433
Tumor
0.0
137
Tumor
0.0
861
Tumor
0.0
738
Normal
0.0
231
Tumor
-0.1
648
Normal
-0.1
416
Normal
-0.1
147
Tumor
-0.1
867
Tumor
-0.1
385
Tumor
-0.1
431
Tumor
-0.1
981
Tumor
-0.1
568
Normal
-0.1
451
Tumor
-0.1
742
Normal
-0.1
526
Normal
-0.1
257
Tumor
-0.1
195
Tumor
-0.1
362
Normal
-0.1
1046
Normal
-0.1
672
Normal
-0.1
142
Normal
-0.1
393
Tumor
-0.1
664
Normal
-0.1
662
Normal
-0.1
744
Normal
-0.1
564
Normal
-0.1
127
Tumor
-0.2
1027
Tumor
-0.2
298
Normal
-0.2
478
Normal
-0.2
874
Normal
-0.2
976
Normal
-0.2
671
Tumor
-0.2
221
Tumor
-0.2
213
Tumor
-0.2
112
Tumor
-0.2
423
Tumor
-0.2
217
Tumor
-0.2
187
Tumor
-0.2
563
Tumor
-0.2
224
Normal
-0.2
436
Normal
-0.2
956
Normal
-0.2
615
Tumor
-0.2
466
Normal
-0.2
636
Normal
-0.3
113
Tumor
-0.3
145
Tumor
-0.3
463
Tumor
-0.3
665
Tumor
-0.3
262
Normal
-0.3
232
Normal
-0.3
642
Normal
-0.3
297
Tumor
-0.3
641
Tumor
-0.3
283
Tumor
-0.3
618
Normal
-0.3
261
Tumor
-0.3
917
Tumor
-0.3
352
Normal
-0.3
434
Normal
-0.4
456
Normal
-0.4
384
Normal
-0.4
424
Normal
-0.4
445
Tumor
-0.4
148
Normal
-0.4
428
Normal
-0.4
128
Normal
-0.4
814
Normal
-0.4
258
Normal
-0.4
311
Tumor
-0.4
666
Normal
-0.4
111
Normal
-0.4
468
Normal
-0.4
464
Normal
-0.4
136
Normal
-0.4
278
Normal
-0.4
222
Normal
-0.4
446
Normal
-0.5
191
Tumor
-0.5
214
Normal
-0.5
354
Normal
-0.5
574
Normal
-0.5
162
Normal
-0.5
227
Tumor
-0.5
114
Normal
-0.5
196
Normal
-0.5
452
Normal
-0.5
268
Normal
-0.5
312
Normal
-0.5
421
Tumor
-0.5
426
Normal
-0.5
272
Normal
-0.5
396
Normal
-0.5
387
Tumor
-0.5
376
Normal
-0.5
132
Normal
-0.5
218
Normal
-0.5
392
Normal
-0.5
344
Normal
-0.5
314
Normal
-0.5
138
Normal
-0.5
391
Tumor
-0.5
367
Tumor
-0.6
422
Normal
-0.6
125
Tumor
-0.6
386
Normal
-0.6
432
Normal
-0.6
414
Normal
-0.6
491
Tumor
-0.6
444
Normal
-0.6
146
Normal
-0.6
185
Tumor
-0.6
342
Normal
-0.6
331
Tumor
-0.6
343
Tumor
-0.6
188
Normal
-0.6
368
Normal
-0.6
358
Normal
-0.7
363
Tumor
-0.7
813
Tumor
-0.7
172
Normal
-0.7
388
Normal
-0.7
124
Normal
-0.7
713
Tumor
-0.7
332
Normal
-0.7
186
Normal
-0.7
366
Normal
-0.7
126
Normal
-0.7
394
Normal
-0.8
192
Normal
-0.8
877
Tumor
-0.8
685
Tumor
-0.9
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LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
