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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.
HSP90AB1 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 pTPM
515.8
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
1636.2
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1626.3
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1542.8
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1400.2
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
1314.6
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
1288.2
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
1259.3
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1246.5
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
1242.9
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
1231.9
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
1167.7
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1164.9
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
1162.2
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1149.9
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
1147.6
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
1134.1
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
1101.2
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
1077.2
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1071.5
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1058.0
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1055.1
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
1052.2
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
1051.4
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
1046.5
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1027.2
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
1000.7
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
987.5
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
986.1
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
966.5
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
939.4
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
935.4
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
932.7
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
923.9
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
922.9
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
900.4
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
898.7
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
885.4
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
879.1
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
876.3
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
871.6
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
871.0
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
865.3
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
856.5
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
851.8
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
850.8
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
845.6
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
845.3
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
844.1
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
838.4
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
836.0
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
831.8
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
824.7
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
817.8
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
802.5
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
784.9
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
781.2
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
781.1
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
774.5
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
773.8
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
767.7
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
761.1
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
759.5
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
758.4
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
756.7
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
756.6
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
755.2
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
750.1
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
739.0
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
728.6
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
720.0
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
719.7
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
718.2
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
716.2
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
715.8
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
711.5
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
708.7
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
706.1
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
704.4
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
704.3
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
703.6
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
698.5
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
695.8
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
695.6
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
692.2
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
691.7
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
689.4
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
687.5
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
685.1
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
679.2
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
673.4
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
672.7
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
667.8
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
667.1
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
666.0
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
663.8
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
649.8
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
647.0
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
646.0
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
644.6
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
641.8
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
641.1
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
637.4
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
637.0
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
635.6
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
632.5
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
628.3
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
623.1
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
621.3
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
616.7
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
615.0
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
612.6
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
607.6
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
598.0
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
597.5
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
594.2
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
593.8
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
593.1
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
592.5
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
591.6
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
590.0
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
583.0
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
572.2
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
571.4
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
568.8
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
566.3
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
562.2
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
560.9
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
560.0
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
559.3
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
558.8
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
558.4
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
556.2
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
555.0
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
553.1
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
547.0
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
546.7
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
544.9
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
542.3
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
542.0
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
535.8
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
535.5
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
532.0
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
516.7
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
516.4
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
513.1
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
510.7
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
507.2
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
506.7
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
506.5
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
504.3
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
500.9
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
500.8
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
500.6
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
500.4
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
498.4
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
497.8
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
495.6
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
493.1
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
491.2
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
490.5
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
490.3
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
488.1
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
488.0
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
487.7
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
487.6
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
487.0
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
483.8
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
483.4
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
481.8
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
475.3
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
475.0
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
470.4
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
470.3
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
469.8
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
466.2
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
464.9
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
459.7
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
459.4
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
457.4
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
457.3
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
456.1
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
455.6
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
453.9
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
448.6
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
443.9
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
443.6
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
443.0
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
442.9
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
440.1
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
437.7
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
432.6
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
431.5
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
428.2
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
424.8
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
422.8
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
421.4
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
421.2
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
420.4
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
419.5
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
419.0
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
418.9
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
418.2
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
417.3
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
413.0
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
410.4
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
408.7
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
408.4
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
408.4
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
406.9
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
405.2
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
404.2
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
402.0
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
399.8
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
398.7
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
398.3
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
397.7
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
396.9
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
396.0
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
391.7
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
391.7
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
391.2
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
389.9
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
389.8
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
389.4
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
388.8
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
386.4
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
385.5
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
383.7
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
383.5
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
382.8
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
380.5
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
378.9
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
378.2
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
373.4
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
372.8
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
372.5
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
366.1
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
365.2
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
363.7
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
363.5
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
362.6
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
361.5
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
360.2
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
360.1
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
356.2
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
353.8
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
351.1
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
351.0
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
350.0
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
347.4
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
347.2
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
341.0
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
340.8
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
340.2
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
335.4
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
334.0
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
333.2
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
332.6
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
330.5
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
329.6
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
326.9
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
326.8
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
325.5
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
324.4
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
322.7
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
322.7
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
315.6
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
315.4
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
310.5
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
304.7
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
303.5
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
303.2
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
302.7
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
301.4
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
300.5
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
300.3
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
299.4
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
298.9
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
298.5
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
296.2
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
294.4
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
293.6
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
292.2
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
291.9
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
290.6
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
289.3
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
287.9
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
285.8
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
281.6
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
280.5
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
278.5
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
276.8
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
273.7
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
273.0
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
272.1
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
272.0
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
268.7
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
267.5
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
267.2
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
265.4
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
259.7
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
259.5
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
256.6
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
256.4
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
255.4
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
254.6
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
249.9
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
249.0
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
248.4
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
247.2
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
245.5
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
245.1
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
243.4
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
242.3
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
236.3
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
235.8
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
233.6
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
233.5
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
233.3
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
233.2
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
232.9
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
229.2
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
224.5
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
220.9
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
218.3
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
217.9
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
215.7
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
211.5
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
211.3
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
207.8
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
201.7
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
197.8
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
197.8
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
195.4
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
194.2
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
190.8
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
187.1
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
185.0
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
185.0
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
183.2
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
176.1
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
172.9
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
172.1
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
171.5
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
159.4
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
157.6
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
156.8
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
154.1
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
153.9
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
153.5
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
151.1
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
143.2
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
135.2
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
128.6
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
125.4
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
114.3
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
113.2
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
107.5
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
104.9
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
75.9
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
73.3
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 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.
HSP90AB1 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 pTPM
913.9
Number of samples
231
Samples
Sample
Description
pTPM
DO23521
63 years, male, NA, stage:3, alive, 1110 days
4808.0
DO45267
73 years, male, NA, stage:3, dead, 570 days
3477.6
DO48723
73 years, male, NA, stage:1, alive, 600 days
3081.6
DO48733
72 years, male, NA, stage:2, alive, 600 days
2794.3
DO23528
45 years, female, NA, stage:2, alive, 1020 days
2351.3
DO48746
76 years, male, NA, stage:3, alive, 570 days
2338.9
DO45165
75 years, male, NA, stage:2, alive, 690 days
2302.6
DO48732
73 years, male, NA, stage:3, alive, 630 days
2181.8
DO48695
77 years, male, NA, stage:2, alive, 720 days
2180.1
DO45185
89 years, male, NA, stage:2, alive, 600 days
1954.3
DO45127
73 years, male, NA, stage:3, dead, 420 days
1951.6
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1941.3
DO45189
85 years, female, NA, stage:2, alive, 1200 days
1911.0
DO50857
72 years, male, NA, stage:2, alive, 210 days
1884.4
DO48672
81 years, male, NA, stage:2, alive, 450 days
1821.6
DO45193
68 years, female, NA, stage:4, dead, 120 days
1791.1
DO45283
60 years, male, NA, stage:3, alive, 510 days
1778.6
DO50811
62 years, male, NA, stage:1, alive, 450 days
1760.4
DO45187
32 years, female, NA, stage:1, alive, 1260 days
1695.0
DO50806
70 years, male, NA, stage:4, alive, 540 days
1659.3
DO50829
78 years, male, NA, stage:3, alive, 570 days
1622.8
DO45163
76 years, male, NA, stage:2, alive, 960 days
1603.4
DO45247
31 years, female, NA, stage:2, alive, 210 days
1596.8
DO45091
56 years, male, NA, stage:2, dead, 1320 days
1589.1
DO50815
62 years, male, NA, stage:3, alive, 150 days
1585.9
DO45305
66 years, male, NA, stage:4, alive, 300 days
1583.7
DO45205
67 years, female, NA, stage:2, dead, 90 days
1565.9
DO23533
61 years, male, NA, stage:2, alive, 900 days
1543.9
DO45307
54 years, female, NA, stage:4, dead, 240 days
1538.9
DO48720
62 years, female, NA, stage:2, alive, 570 days
1468.5
DO45301
56 years, male, NA, stage:2, dead, 1440 days
1455.2
DO50840
49 years, male, NA, stage:2, alive, 330 days
1422.6
DO45303
62 years, female, NA, stage:3, alive, 990 days
1379.9
DO23519
65 years, male, NA, stage:3, alive, 630 days
1379.7
DO45273
62 years, male, NA, stage:2, alive, 480 days
1375.4
DO45243
74 years, female, NA, stage:3, alive, 930 days
1362.4
DO50778
60 years, male, NA, stage:4, alive, 630 days
1329.0
DO45297
61 years, female, NA, stage:4, dead, 1260 days
1318.5
DO48730
73 years, female, NA, stage:2, alive, 630 days
1285.7
DO45121
61 years, male, NA, stage:3, alive, 1530 days
1283.5
DO48737
52 years, male, NA, stage:1, alive, 720 days
1280.0
DO45245
75 years, female, NA, stage:2, dead, 240 days
1274.6
DO45275
65 years, male, NA, stage:3, dead, 10 days
1238.8
DO45119
74 years, male, NA, stage:3, dead, 510 days
1228.7
DO50855
47 years, male, NA, stage:2, alive, 570 days
1227.2
DO23510
80 years, female, NA, stage:2, alive, 870 days
1216.4
DO23547
74 years, male, NA, stage:1, alive, 1020 days
1204.7
DO23537
79 years, male, NA, stage:2, dead, 900 days
1203.8
DO23509
60 years, male, NA, stage:3, dead, 780 days
1203.4
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1195.7
DO45257
46 years, male, NA, stage:3, alive, 810 days
1190.1
DO50799
66 years, female, NA, stage:2, alive, 540 days
1175.1
DO45145
78 years, male, NA, stage:3, dead, 60 days
1169.9
DO50825
70 years, male, NA, stage:2, alive, 390 days
1144.5
DO45299
70 years, female, NA, stage:1, alive, 1440 days
1136.6
DO45171
56 years, male, NA, stage:3, alive, 600 days
1125.7
DO50832
73 years, male, NA, stage:3, alive, 90 days
1108.3
DO23546
63 years, male, NA, stage:2, alive, 1050 days
1105.9
DO45161
74 years, male, NA, stage:2, dead, 540 days
1101.2
DO45133
64 years, male, NA, stage:3, dead, 660 days
1096.2
DO45259
65 years, male, NA, stage:3, alive, 330 days
1095.6
DO48681
57 years, male, NA, stage:2, alive, 900 days
1093.1
DO45197
51 years, male, NA, stage:2, alive, 1170 days
1087.2
DO50844
75 years, male, NA, stage:4, alive, 300 days
1076.0
DO45221
75 years, female, NA, stage:4, dead, 390 days
1069.9
DO50774
68 years, female, NA, stage:2, alive, 720 days
1069.0
DO45155
69 years, male, NA, stage:2, alive, 2160 days
1067.9
DO23552
80 years, female, NA, stage:1, alive, 810 days
1067.0
DO45137
38 years, male, NA, stage:1, alive, 1320 days
1059.2
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1055.6
DO50798
77 years, male, NA, stage:3, dead, 30 days
1052.3
DO45269
59 years, male, NA, stage:3, alive, 750 days
1047.8
DO50819
72 years, female, NA, stage:2, alive, 510 days
1045.5
DO50809
56 years, male, NA, stage:3, dead, 720 days
1011.1
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1006.1
DO50850
74 years, male, NA, stage:3, alive, 720 days
1005.9
DO48757
68 years, female, NA, stage:3, alive, 480 days
1005.6
DO23515
71 years, male, NA, stage:2, alive, 1230 days
999.4
DO23516
69 years, male, NA, stage:3, dead, 20 days
989.0
DO45123
78 years, female, NA, stage:2, dead, 570 days
984.0
DO45093
71 years, male, NA, stage:2, dead, 720 days
980.7
DO23536
56 years, male, NA, stage:2, alive, 930 days
965.3
DO50820
77 years, female, NA, stage:3, alive, 510 days
963.6
DO45159
65 years, male, NA, stage:3, alive, 1470 days
963.0
DO45263
67 years, male, NA, stage:3, dead, 270 days
948.5
DO48728
74 years, female, NA, stage:2, alive, 150 days
943.7
DO48706
72 years, male, NA, stage:2, alive, 870 days
938.5
DO23529
72 years, male, NA, stage:4, alive, 930 days
930.0
DO48759
73 years, male, NA, stage:3, alive, 720 days
929.8
DO45239
42 years, male, NA, stage:2, alive, 870 days
927.8
DO45183
72 years, female, NA, stage:2, dead, 570 days
927.2
DO45277
64 years, male, NA, stage:3, alive, 600 days
926.9
DO45097
69 years, male, NA, stage:3, alive, 1620 days
913.6
DO45117
73 years, female, NA, stage:2, dead, 1110 days
903.0
DO50802
49 years, male, NA, stage:2, alive, 930 days
895.5
DO23523
52 years, male, NA, stage:3, alive, 1080 days
893.1
DO50785
37 years, male, NA, stage:4, dead, 90 days
886.5
DO45227
57 years, female, NA, stage:2, alive, 1020 days
883.6
DO45281
83 years, male, NA, stage:4, alive, 750 days
872.2
DO45141
73 years, male, NA, stage:2, alive, 1320 days
870.0
DO50805
72 years, male, NA, stage:2, alive, 690 days
863.8
DO45092
62 years, male, NA, stage:4, dead, 1200 days
853.2
DO45173
63 years, male, NA, stage:3, alive, 1170 days
848.0
DO45235
68 years, female, NA, stage:1, alive, 900 days
835.5
DO50783
62 years, male, NA, stage:3, alive, 480 days
829.9
DO23525
71 years, male, NA, stage:4, alive, 1050 days
828.8
DO48697
64 years, female, NA, stage:2, dead, 810 days
826.1
DO23541
65 years, male, NA, stage:2, alive, 930 days
824.6
DO45203
71 years, female, NA, stage:2, alive, 1170 days
822.7
DO48751
68 years, male, NA, stage:2, dead, 480 days
820.9
DO23514
64 years, male, NA, stage:2, alive, 1290 days
813.6
DO45279
67 years, male, NA, stage:3, alive, 1290 days
811.8
DO50791
79 years, female, NA, stage:1, dead, 480 days
810.7
DO45135
77 years, male, NA, stage:1, alive, 1410 days
808.1
DO48736
76 years, female, NA, stage:1, alive, 600 days
807.0
DO48712
50 years, male, NA, stage:2, alive, 810 days
802.2
DO45131
53 years, male, NA, stage:4, dead, 360 days
797.8
DO50808
68 years, male, NA, stage:2, alive, 570 days
796.5
DO45157
62 years, male, NA, stage:2, alive, 1980 days
789.2
DO45251
57 years, female, NA, stage:2, alive, 900 days
788.9
DO23530
53 years, male, NA, stage:4, dead, 180 days
788.6
DO45223
67 years, male, NA, stage:4, alive, 1020 days
780.2
DO45261
74 years, male, NA, stage:3, alive, 990 days
780.1
DO45099
46 years, male, NA, stage:3, alive, 1590 days
768.9
DO45231
84 years, male, NA, stage:2, alive, 930 days
765.7
DO23527
72 years, male, NA, stage:1, alive, 1050 days
744.5
DO50804
81 years, male, NA, stage:2, alive, 720 days
735.9
DO50807
67 years, male, NA, stage:1, alive, 540 days
734.7
DO50803
62 years, female, NA, stage:1, alive, 540 days
732.2
DO23526
66 years, male, NA, stage:3, alive, 1050 days
730.3
DO48682
72 years, female, NA, stage:3, dead, 120 days
726.4
DO45211
76 years, male, NA, stage:3, alive, 240 days
723.9
DO45249
57 years, male, NA, stage:1, alive, 630 days
718.2
DO48742
76 years, male, NA, stage:2, alive, 600 days
713.0
DO23545
67 years, male, NA, stage:2, dead, 570 days
711.0
DO45111
74 years, male, NA, stage:2, alive, 1590 days
710.3
DO48761
55 years, male, NA, stage:2, alive, 870 days
695.7
DO48679
72 years, male, NA, stage:2, alive, 1200 days
694.0
DO50789
73 years, female, NA, stage:2, alive, 570 days
692.2
DO45199
86 years, female, NA, stage:2, alive, 1350 days
690.2
DO45255
81 years, male, NA, stage:3, alive, 720 days
689.9
DO23542
66 years, male, NA, stage:3, alive, 960 days
689.0
DO23513
76 years, male, NA, stage:3, alive, 1200 days
682.2
DO45289
78 years, female, NA, stage:3, alive, 360 days
676.9
DO48677
58 years, male, NA, stage:3, alive, 1140 days
674.1
DO48743
69 years, female, NA, stage:2, alive, 570 days
672.0
DO45287
74 years, male, NA, stage:1, alive, 390 days
664.3
DO50800
74 years, male, NA, stage:2, alive, 510 days
663.1
DO45095
66 years, male, NA, stage:2, alive, 1620 days
661.1
DO50822
66 years, male, NA, stage:2, alive, 510 days
652.4
DO23551
73 years, male, NA, stage:3, dead, 150 days
651.6
DO23539
77 years, male, NA, stage:1, alive, 1110 days
649.8
DO45209
70 years, male, NA, stage:4, alive, 1350 days
645.4
DO45115
81 years, male, NA, stage:2, alive, 840 days
644.3
DO23524
71 years, female, NA, stage:2, alive, 1050 days
640.3
DO48700
78 years, female, NA, stage:2, alive, 810 days
638.1
DO50814
83 years, male, NA, stage:3, alive, 420 days
622.1
DO227801
77 years, female, NA, stage:1, alive, 660 days
604.0
DO23535
67 years, male, NA, stage:1, alive, 960 days
596.1
DO45169
74 years, male, NA, stage:3, alive, 1350 days
593.7
DO50859
77 years, male, NA, stage:2, alive, 180 days
590.0
DO45179
78 years, female, NA, stage:2, alive, 600 days
587.3
DO45113
58 years, male, NA, stage:3, alive, 1560 days
578.9
DO48741
64 years, male, NA, stage:3, alive, 240 days
569.7
DO48725
66 years, male, NA, stage:1, alive, 780 days
567.3
DO23508
79 years, female, NA, stage:2, alive, 390 days
556.1
DO45129
61 years, male, NA, stage:3, alive, 1470 days
555.6
DO23549
74 years, male, NA, stage:3, alive, 990 days
548.5
DO48727
81 years, female, NA, stage:2, dead, 390 days
547.7
DO45207
68 years, male, NA, stage:1, alive, 1050 days
539.7
DO48704
68 years, female, NA, stage:3, alive, 750 days
539.5
DO48715
58 years, female, NA, stage:2, dead, 690 days
538.9
DO45175
74 years, male, NA, stage:2, alive, 1140 days
536.1
DO45233
83 years, male, NA, stage:3, alive, 900 days
536.0
DO50787
63 years, male, NA, stage:3, alive, 480 days
535.4
DO45237
58 years, male, NA, stage:2, alive, 900 days
528.1
DO48719
80 years, male, NA, stage:2, alive, 690 days
524.3
DO45153
77 years, female, NA, stage:2, alive, 1380 days
523.0
DO48747
62 years, male, NA, stage:3, alive, 540 days
516.2
DO45143
69 years, male, NA, stage:3, alive, 1290 days
514.3
DO45253
50 years, male, NA, stage:2, alive, 870 days
510.7
DO45177
81 years, female, NA, stage:3, alive, 1260 days
508.4
DO45265
73 years, male, NA, stage:3, alive, 1020 days
507.4
DO45103
47 years, male, NA, stage:3, alive, 450 days
498.8
DO48701
78 years, male, NA, stage:2, alive, 780 days
490.1
DO48716
71 years, male, NA, stage:2, alive, 720 days
488.9
DO45217
69 years, female, NA, stage:3, dead, 270 days
481.8
DO45191
61 years, female, NA, stage:2, alive, 1200 days
480.7
DO23518
67 years, male, NA, stage:2, alive, 1320 days
458.1
DO45285
59 years, male, NA, stage:3, alive, 480 days
456.1
DO45201
49 years, male, NA, stage:1, alive, 900 days
454.5
DO23540
73 years, male, NA, stage:1, alive, 750 days
454.0
DO50776
75 years, male, NA, stage:1, alive, 690 days
448.5
DO23550
69 years, male, NA, stage:1, alive, 990 days
446.4
DO23512
60 years, male, NA, stage:1, alive, 1260 days
442.5
DO48721
58 years, female, NA, stage:1, alive, 900 days
441.1
DO50839
47 years, female, NA, stage:3, alive, 330 days
439.8
DO23534
60 years, male, NA, stage:2, alive, 840 days
428.9
DO45229
74 years, male, NA, stage:1, alive, 990 days
417.9
DO50818
65 years, male, NA, stage:2, alive, 510 days
402.5
DO50817
75 years, male, NA, stage:2, alive, 390 days
399.3
DO48717
54 years, male, NA, stage:4, dead, 180 days
386.5
DO23548
78 years, female, NA, stage:1, alive, 840 days
384.6
DO23543
63 years, male, NA, stage:2, alive, 1020 days
375.3
DO45094
76 years, male, NA, stage:3, alive, 1650 days
370.5
DO45096
69 years, male, NA, stage:2, dead, 1290 days
360.0
DO50793
76 years, male, NA, stage:4, alive, 540 days
358.8
DO23538
67 years, male, NA, stage:2, alive, 450 days
334.2
DO23511
83 years, female, NA, stage:3, dead, 180 days
333.6
DO45101
63 years, male, NA, stage:2, alive, 1680 days
325.5
DO50816
63 years, male, NA, stage:2, alive, 390 days
325.2
DO45149
70 years, female, NA, stage:2, alive, 1260 days
321.5
DO23544
67 years, male, NA, stage:2, alive, 960 days
321.0
DO45181
84 years, female, NA, stage:2, alive, 1200 days
314.1
DO50813
56 years, male, NA, stage:2, alive, 420 days
306.3
DO45215
65 years, male, NA, stage:2, alive, 1170 days
306.2
DO48693
71 years, male, NA, stage:2, alive, 900 days
305.5
DO50845
72 years, male, NA, stage:3, alive, 210 days
304.4
DO45125
58 years, male, NA, stage:3, alive, 1680 days
300.3
DO45195
62 years, male, NA, stage:1, alive, 390 days
295.0
DO45241
49 years, male, NA, stage:1, alive, 1080 days
290.7
DO48760
70 years, female, NA, stage:2, alive, 690 days
277.2
DO23531
78 years, female, NA, stage:3, alive, 900 days
261.7
DO45109
63 years, male, NA, stage:2, alive, 1590 days
221.5
DO23517
62 years, male, NA, stage:2, alive, 1200 days
206.6
DO227643
79 years, male, NA, stage:2, alive, 1260 days
201.4
DO45107
63 years, female, NA, stage:2, alive, 1710 days
180.9
DO23532
71 years, female, NA, stage:1, alive, 960 days
180.4
DO45167
67 years, male, NA, stage:2, dead, 1440 days
151.5
DO48674
80 years, male, NA, stage:2, alive, 1260 days
144.8
DO45105
61 years, male, NA, stage:1, alive, 1680 days
131.8
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LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
535
Tumor
1.3
965
Tumor
0.9
951
Tumor
0.6
351
Tumor
0.6
537
Tumor
0.6
743
Tumor
0.6
367
Tumor
0.6
533
Tumor
0.6
663
Tumor
0.5
865
Tumor
0.5
957
Tumor
0.5
127
Tumor
0.5
123
Tumor
0.5
661
Tumor
0.5
231
Tumor
0.5
221
Tumor
0.5
925
Tumor
0.5
983
Tumor
0.5
573
Tumor
0.4
497
Tumor
0.4
112
Tumor
0.4
283
Tumor
0.4
331
Tumor
0.4
967
Tumor
0.4
553
Tumor
0.4
635
Tumor
0.4
267
Tumor
0.4
937
Tumor
0.4
745
Tumor
0.4
1013
Tumor
0.4
513
Tumor
0.4
443
Tumor
0.4
671
Tumor
0.3
557
Tumor
0.3
171
Tumor
0.3
685
Tumor
0.3
487
Tumor
0.3
1031
Tumor
0.3
1027
Tumor
0.3
977
Tumor
0.3
517
Tumor
0.3
327
Tumor
0.3
257
Tumor
0.3
567
Tumor
0.3
477
Tumor
0.3
525
Tumor
0.3
433
Tumor
0.3
724
Normal
0.3
391
Tumor
0.3
877
Tumor
0.3
425
Tumor
0.3
313
Tumor
0.3
147
Tumor
0.3
1025
Tumor
0.2
227
Tumor
0.2
1021
Tumor
0.2
285
Tumor
0.2
1041
Tumor
0.2
131
Tumor
0.2
217
Tumor
0.2
387
Tumor
0.2
715
Tumor
0.2
923
Tumor
0.2
493
Tumor
0.2
411
Tumor
0.2
491
Tumor
0.2
113
Tumor
0.2
187
Tumor
0.2
665
Tumor
0.2
777
Tumor
0.2
981
Tumor
0.2
343
Tumor
0.2
571
Tumor
0.2
483
Tumor
0.1
223
Tumor
0.1
385
Tumor
0.1
1015
Tumor
0.1
471
Tumor
0.1
451
Tumor
0.1
883
Tumor
0.1
161
Tumor
0.1
375
Tumor
0.1
415
Tumor
0.1
211
Tumor
0.1
915
Tumor
0.1
921
Tumor
0.1
697
Tumor
0.1
185
Tumor
0.1
963
Tumor
0.1
395
Tumor
0.1
713
Tumor
0.1
823
Tumor
0.1
473
Tumor
0.1
341
Tumor
0.1
851
Tumor
0.1
815
Tumor
0.0
435
Tumor
0.0
271
Tumor
0.0
545
Tumor
0.0
261
Tumor
0.0
727
Tumor
0.0
213
Tumor
0.0
955
Tumor
0.0
361
Tumor
0.0
427
Tumor
0.0
125
Tumor
0.0
297
Tumor
0.0
647
Tumor
0.0
873
Tumor
0.0
413
Tumor
0.0
463
Tumor
0.0
813
Tumor
0.0
355
Tumor
0.0
527
Tumor
0.0
953
Tumor
0.0
465
Tumor
0.0
913
Tumor
0.0
515
Tumor
0.0
135
Tumor
0.0
641
Tumor
0.0
145
Tumor
0.0
431
Tumor
0.0
357
Tumor
0.0
455
Tumor
0.0
467
Tumor
0.0
1043
Tumor
0.0
421
Tumor
0.0
978
Normal
-0.1
353
Tumor
-0.1
363
Tumor
-0.1
755
Tumor
-0.1
737
Tumor
-0.1
741
Tumor
-0.1
447
Tumor
-0.1
615
Tumor
-0.1
917
Tumor
-0.1
617
Tumor
-0.1
311
Tumor
-0.1
218
Normal
-0.1
523
Tumor
-0.1
423
Tumor
-0.1
563
Tumor
-0.1
911
Tumor
-0.1
137
Tumor
-0.1
277
Tumor
-0.1
695
Tumor
-0.1
365
Tumor
-0.1
191
Tumor
-0.1
448
Normal
-0.1
481
Tumor
-0.1
1026
Normal
-0.1
524
Normal
-0.1
286
Normal
-0.1
975
Tumor
-0.1
964
Normal
-0.1
488
Normal
-0.1
528
Normal
-0.1
721
Tumor
-0.1
861
Tumor
-0.2
461
Tumor
-0.2
536
Normal
-0.2
1045
Tumor
-0.2
141
Tumor
-0.2
982
Normal
-0.2
514
Normal
-0.2
228
Normal
-0.2
1044
Normal
-0.2
212
Normal
-0.2
728
Normal
-0.2
554
Normal
-0.2
1014
Normal
-0.2
128
Normal
-0.2
482
Normal
-0.2
484
Normal
-0.2
478
Normal
-0.2
817
Tumor
-0.2
393
Tumor
-0.2
966
Normal
-0.2
258
Normal
-0.2
698
Normal
-0.2
188
Normal
-0.2
534
Normal
-0.2
1016
Normal
-0.2
916
Normal
-0.2
388
Normal
-0.2
518
Normal
-0.2
738
Normal
-0.2
356
Normal
-0.2
956
Normal
-0.2
943
Tumor
-0.2
314
Normal
-0.2
383
Tumor
-0.2
922
Normal
-0.2
714
Normal
-0.2
926
Normal
-0.2
944
Normal
-0.2
394
Normal
-0.2
814
Normal
-0.2
558
Normal
-0.2
778
Normal
-0.2
881
Tumor
-0.2
332
Normal
-0.2
396
Normal
-0.2
368
Normal
-0.2
526
Normal
-0.2
723
Tumor
-0.2
412
Normal
-0.2
472
Normal
-0.2
232
Normal
-0.2
742
Normal
-0.3
538
Normal
-0.3
867
Tumor
-0.3
722
Normal
-0.3
284
Normal
-0.3
376
Normal
-0.3
462
Normal
-0.3
222
Normal
-0.3
262
Normal
-0.3
968
Normal
-0.3
498
Normal
-0.3
136
Normal
-0.3
785
Tumor
-0.3
474
Normal
-0.3
224
Normal
-0.3
422
Normal
-0.3
1028
Normal
-0.3
364
Normal
-0.3
696
Normal
-0.3
114
Normal
-0.3
172
Normal
-0.3
111
Normal
-0.3
416
Normal
-0.3
938
Normal
-0.3
1042
Normal
-0.3
466
Normal
-0.3
976
Normal
-0.3
918
Normal
-0.3
268
Normal
-0.3
546
Normal
-0.3
434
Normal
-0.3
492
Normal
-0.3
494
Normal
-0.3
352
Normal
-0.3
358
Normal
-0.3
392
Normal
-0.3
384
Normal
-0.3
148
Normal
-0.3
162
Normal
-0.3
686
Normal
-0.3
362
Normal
-0.3
195
Tumor
-0.3
386
Normal
-0.3
298
Normal
-0.3
436
Normal
-0.3
1032
Normal
-0.3
445
Tumor
-0.3
446
Normal
-0.3
342
Normal
-0.3
138
Normal
-0.3
1022
Normal
-0.3
272
Normal
-0.3
366
Normal
-0.3
746
Normal
-0.3
958
Normal
-0.3
648
Normal
-0.3
444
Normal
-0.3
857
Tumor
-0.3
432
Normal
-0.3
864
Normal
-0.3
344
Normal
-0.3
786
Normal
-0.3
196
Normal
-0.3
882
Normal
-0.3
862
Normal
-0.3
426
Normal
-0.3
142
Normal
-0.3
1046
Normal
-0.3
124
Normal
-0.3
662
Normal
-0.3
186
Normal
-0.3
756
Normal
-0.3
126
Normal
-0.3
328
Normal
-0.4
428
Normal
-0.4
954
Normal
-0.4
572
Normal
-0.4
984
Normal
-0.4
858
Normal
-0.4
278
Normal
-0.4
214
Normal
-0.4
132
Normal
-0.4
628
Normal
-0.4
824
Normal
-0.4
912
Normal
-0.4
568
Normal
-0.4
664
Normal
-0.4
627
Tumor
-0.4
516
Normal
-0.4
952
Normal
-0.4
666
Normal
-0.4
414
Normal
-0.4
564
Normal
-0.4
312
Normal
-0.4
866
Normal
-0.4
868
Normal
-0.4
452
Normal
-0.4
924
Normal
-0.4
424
Normal
-0.4
456
Normal
-0.4
464
Normal
-0.4
618
Normal
-0.4
616
Normal
-0.4
878
Normal
-0.4
816
Normal
-0.4
884
Normal
-0.4
716
Normal
-0.4
146
Normal
-0.4
914
Normal
-0.4
744
Normal
-0.4
354
Normal
-0.4
672
Normal
-0.5
874
Normal
-0.5
818
Normal
-0.5
574
Normal
-0.5
468
Normal
-0.5
852
Normal
-0.5
863
Tumor
-0.5
642
Normal
-0.5
636
Normal
-0.5
192
Normal
-0.5
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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.