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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.
GNAS 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
552.1
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
1918.5
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1779.7
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1697.6
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
1696.0
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
1661.1
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
1605.6
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1575.0
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1541.9
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
1520.2
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1505.6
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1464.4
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
1427.8
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1421.5
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
1418.0
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
1385.0
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1345.8
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
1323.9
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1316.0
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1272.1
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
1263.7
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
1232.3
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1200.3
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
1188.6
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1188.4
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
1169.4
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1145.8
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
1140.6
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
1127.4
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1118.5
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
1102.9
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
1100.9
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
1100.6
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
1087.9
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
1074.0
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
1051.5
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
1024.4
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1005.9
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
998.3
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
995.6
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
988.7
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
949.3
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
920.5
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
904.9
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
903.0
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
902.1
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
900.2
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
898.8
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
890.6
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
886.8
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
867.5
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
867.3
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
860.5
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
844.0
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
837.0
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
835.8
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
833.7
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
832.5
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
829.0
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
827.2
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
826.7
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
822.3
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
817.5
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
809.2
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
808.4
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
803.2
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
801.8
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
790.0
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
781.3
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
777.6
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
774.6
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
774.4
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
772.0
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
771.3
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
770.5
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
768.7
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
767.4
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
764.3
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
754.3
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
749.9
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
748.0
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
741.2
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
736.7
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
726.8
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
724.6
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
720.8
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
720.7
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
715.1
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
714.6
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
704.4
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
701.3
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
700.1
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
695.2
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
693.7
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
692.6
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
691.7
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
690.8
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
690.3
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
688.8
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
686.4
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
678.5
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
671.9
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
670.7
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
667.1
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
665.3
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
661.8
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
659.8
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
659.3
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
657.3
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
655.1
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
644.8
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
642.0
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
637.7
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
631.1
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
629.1
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
627.7
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
627.5
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
626.0
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
622.2
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
616.4
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
614.2
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
612.3
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
611.0
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
603.3
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
600.0
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
590.2
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
590.1
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
582.1
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
579.1
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
573.1
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
568.9
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
568.4
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
567.0
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
559.5
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
558.1
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
555.0
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
550.4
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
548.0
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
547.2
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
546.8
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
542.7
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
542.4
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
539.9
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
536.9
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
536.3
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
535.1
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
533.4
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
533.0
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
532.8
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
531.3
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
529.5
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
525.0
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
523.9
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
522.5
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
522.0
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
519.1
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
517.8
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
516.5
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
509.8
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
508.8
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
506.6
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
505.4
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
504.8
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
503.5
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
503.3
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
502.3
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
500.7
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
498.1
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
497.9
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
497.0
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
495.8
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
494.9
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
491.8
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
490.4
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
488.6
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
487.0
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
486.9
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
485.3
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
482.0
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
479.1
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
475.9
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
475.1
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
473.1
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
471.3
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
469.2
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
468.3
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
467.8
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
466.4
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
464.4
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
463.4
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
462.3
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
458.8
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
452.0
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
449.8
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
443.9
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
443.5
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
435.3
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
432.4
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
431.5
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
427.1
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
426.7
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
426.3
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
426.0
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
423.0
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
419.0
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
415.6
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
413.6
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
411.1
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
410.6
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
407.3
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
406.7
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
406.2
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
403.9
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
401.5
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
401.3
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
397.8
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
393.9
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
393.5
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
393.0
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
392.3
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
390.3
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
390.2
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
389.7
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
387.8
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
385.7
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
383.9
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
383.8
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
382.7
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
381.6
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
379.8
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
376.9
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
376.3
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
374.3
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
374.2
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
374.0
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
371.9
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
371.3
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
369.7
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
364.7
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
362.2
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
361.4
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
360.0
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
359.6
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
359.0
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
359.0
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
358.8
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
358.3
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
357.2
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
355.4
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
354.0
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
351.6
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
350.2
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
348.3
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
345.1
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
343.2
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
343.1
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
342.1
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
341.0
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
337.9
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
335.1
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
333.9
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
331.9
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
331.1
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
329.8
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
328.2
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
327.0
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
326.2
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
325.0
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
323.3
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
322.6
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
321.9
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
319.8
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
319.2
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
316.5
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
313.0
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
312.6
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
312.5
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
312.5
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
310.8
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
308.9
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
307.7
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
306.1
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
303.9
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
303.5
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
303.0
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
295.0
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
294.4
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
294.2
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
290.7
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
288.8
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
287.2
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
284.9
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
283.9
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
280.3
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
279.3
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
276.9
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
276.6
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
276.0
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
273.7
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
267.4
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
266.7
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
264.9
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
263.6
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
262.5
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
260.3
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
259.1
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
259.0
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
258.2
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
256.3
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
251.5
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
250.8
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
250.6
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
245.3
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
242.9
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
238.2
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
237.3
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
233.6
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
230.0
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
229.6
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
221.4
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
218.5
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
218.4
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
217.4
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
216.3
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
215.7
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
215.2
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
212.4
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
212.2
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
209.2
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
208.7
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
206.3
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
206.2
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
204.2
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
202.1
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
199.8
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
194.8
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
192.8
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
190.8
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
188.1
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
182.9
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
180.9
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
180.2
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
176.1
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
174.6
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
172.3
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
170.0
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
169.9
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
169.1
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
166.9
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
158.6
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
157.0
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
156.6
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
144.5
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
140.0
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
137.8
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
128.0
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
119.6
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
91.4
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
82.2
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
65.8
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
53.4
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
47.1
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 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.
GNAS 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
790.2
Number of samples
231
Samples
Sample
Description
pTPM
DO50815
62 years, male, NA, stage:3, alive, 150 days
6178.4
DO23547
74 years, male, NA, stage:1, alive, 1020 days
2783.5
DO45301
56 years, male, NA, stage:2, dead, 1440 days
2465.2
DO45145
78 years, male, NA, stage:3, dead, 60 days
2169.9
DO45197
51 years, male, NA, stage:2, alive, 1170 days
2105.8
DO45155
69 years, male, NA, stage:2, alive, 2160 days
2060.6
DO23523
52 years, male, NA, stage:3, alive, 1080 days
2031.4
DO45105
61 years, male, NA, stage:1, alive, 1680 days
1910.2
DO23549
74 years, male, NA, stage:3, alive, 990 days
1863.8
DO45277
64 years, male, NA, stage:3, alive, 600 days
1860.8
DO45245
75 years, female, NA, stage:2, dead, 240 days
1703.2
DO45091
56 years, male, NA, stage:2, dead, 1320 days
1696.1
DO45121
61 years, male, NA, stage:3, alive, 1530 days
1684.4
DO23552
80 years, female, NA, stage:1, alive, 810 days
1641.2
DO48720
62 years, female, NA, stage:2, alive, 570 days
1608.4
DO23526
66 years, male, NA, stage:3, alive, 1050 days
1607.8
DO45189
85 years, female, NA, stage:2, alive, 1200 days
1583.0
DO45211
76 years, male, NA, stage:3, alive, 240 days
1482.7
DO50778
60 years, male, NA, stage:4, alive, 630 days
1480.0
DO23537
79 years, male, NA, stage:2, dead, 900 days
1456.3
DO45127
73 years, male, NA, stage:3, dead, 420 days
1453.8
DO23515
71 years, male, NA, stage:2, alive, 1230 days
1433.3
DO48712
50 years, male, NA, stage:2, alive, 810 days
1419.5
DO45267
73 years, male, NA, stage:3, dead, 570 days
1396.9
DO45119
74 years, male, NA, stage:3, dead, 510 days
1367.4
DO48732
73 years, male, NA, stage:3, alive, 630 days
1322.4
DO45096
69 years, male, NA, stage:2, dead, 1290 days
1313.9
DO45305
66 years, male, NA, stage:4, alive, 300 days
1312.9
DO45273
62 years, male, NA, stage:2, alive, 480 days
1284.3
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1262.5
DO45131
53 years, male, NA, stage:4, dead, 360 days
1252.7
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1236.4
DO45299
70 years, female, NA, stage:1, alive, 1440 days
1234.2
DO50799
66 years, female, NA, stage:2, alive, 540 days
1218.7
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1213.7
DO45103
47 years, male, NA, stage:3, alive, 450 days
1186.7
DO45275
65 years, male, NA, stage:3, dead, 10 days
1184.0
DO45137
38 years, male, NA, stage:1, alive, 1320 days
1159.8
DO45205
67 years, female, NA, stage:2, dead, 90 days
1146.0
DO23524
71 years, female, NA, stage:2, alive, 1050 days
1141.1
DO45249
57 years, male, NA, stage:1, alive, 630 days
1133.8
DO45303
62 years, female, NA, stage:3, alive, 990 days
1123.5
DO50791
79 years, female, NA, stage:1, dead, 480 days
1120.4
DO45193
68 years, female, NA, stage:4, dead, 120 days
1099.0
DO23535
67 years, male, NA, stage:1, alive, 960 days
1096.8
DO45243
74 years, female, NA, stage:3, alive, 930 days
1090.2
DO45257
46 years, male, NA, stage:3, alive, 810 days
1088.5
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1086.4
DO45251
57 years, female, NA, stage:2, alive, 900 days
1071.1
DO48681
57 years, male, NA, stage:2, alive, 900 days
1060.6
DO48728
74 years, female, NA, stage:2, alive, 150 days
1056.9
DO50829
78 years, male, NA, stage:3, alive, 570 days
1055.7
DO45307
54 years, female, NA, stage:4, dead, 240 days
1047.3
DO50855
47 years, male, NA, stage:2, alive, 570 days
1036.8
DO45287
74 years, male, NA, stage:1, alive, 390 days
1036.0
DO45099
46 years, male, NA, stage:3, alive, 1590 days
1035.5
DO23530
53 years, male, NA, stage:4, dead, 180 days
1013.6
DO50787
63 years, male, NA, stage:3, alive, 480 days
982.5
DO50800
74 years, male, NA, stage:2, alive, 510 days
982.3
DO23545
67 years, male, NA, stage:2, dead, 570 days
981.5
DO48757
68 years, female, NA, stage:3, alive, 480 days
964.9
DO45092
62 years, male, NA, stage:4, dead, 1200 days
947.0
DO23528
45 years, female, NA, stage:2, alive, 1020 days
938.0
DO23548
78 years, female, NA, stage:1, alive, 840 days
930.4
DO45207
68 years, male, NA, stage:1, alive, 1050 days
928.7
DO48736
76 years, female, NA, stage:1, alive, 600 days
921.5
DO45185
89 years, male, NA, stage:2, alive, 600 days
916.3
DO45141
73 years, male, NA, stage:2, alive, 1320 days
915.7
DO23521
63 years, male, NA, stage:3, alive, 1110 days
915.5
DO45253
50 years, male, NA, stage:2, alive, 870 days
907.0
DO45149
70 years, female, NA, stage:2, alive, 1260 days
905.9
DO23519
65 years, male, NA, stage:3, alive, 630 days
901.7
DO23513
76 years, male, NA, stage:3, alive, 1200 days
900.8
DO50813
56 years, male, NA, stage:2, alive, 420 days
898.9
DO45279
67 years, male, NA, stage:3, alive, 1290 days
888.9
DO45135
77 years, male, NA, stage:1, alive, 1410 days
881.4
DO23534
60 years, male, NA, stage:2, alive, 840 days
859.6
DO45255
81 years, male, NA, stage:3, alive, 720 days
850.0
DO45217
69 years, female, NA, stage:3, dead, 270 days
837.5
DO45297
61 years, female, NA, stage:4, dead, 1260 days
832.9
DO48719
80 years, male, NA, stage:2, alive, 690 days
826.3
DO23546
63 years, male, NA, stage:2, alive, 1050 days
822.7
DO45281
83 years, male, NA, stage:4, alive, 750 days
815.6
DO23509
60 years, male, NA, stage:3, dead, 780 days
804.2
DO45187
32 years, female, NA, stage:1, alive, 1260 days
801.9
DO50820
77 years, female, NA, stage:3, alive, 510 days
794.8
DO45259
65 years, male, NA, stage:3, alive, 330 days
783.4
DO23541
65 years, male, NA, stage:2, alive, 930 days
779.5
DO50806
70 years, male, NA, stage:4, alive, 540 days
769.8
DO48743
69 years, female, NA, stage:2, alive, 570 days
762.3
DO23543
63 years, male, NA, stage:2, alive, 1020 days
761.2
DO23550
69 years, male, NA, stage:1, alive, 990 days
757.7
DO48715
58 years, female, NA, stage:2, dead, 690 days
751.6
DO50808
68 years, male, NA, stage:2, alive, 570 days
746.6
DO48697
64 years, female, NA, stage:2, dead, 810 days
743.0
DO45283
60 years, male, NA, stage:3, alive, 510 days
742.6
DO50817
75 years, male, NA, stage:2, alive, 390 days
739.5
DO45203
71 years, female, NA, stage:2, alive, 1170 days
738.3
DO48723
73 years, male, NA, stage:1, alive, 600 days
729.6
DO48679
72 years, male, NA, stage:2, alive, 1200 days
715.9
DO45117
73 years, female, NA, stage:2, dead, 1110 days
713.4
DO45179
78 years, female, NA, stage:2, alive, 600 days
711.1
DO50857
72 years, male, NA, stage:2, alive, 210 days
710.9
DO50798
77 years, male, NA, stage:3, dead, 30 days
704.8
DO48717
54 years, male, NA, stage:4, dead, 180 days
703.3
DO48759
73 years, male, NA, stage:3, alive, 720 days
702.8
DO50845
72 years, male, NA, stage:3, alive, 210 days
701.6
DO50785
37 years, male, NA, stage:4, dead, 90 days
694.2
DO45237
58 years, male, NA, stage:2, alive, 900 days
685.3
DO45157
62 years, male, NA, stage:2, alive, 1980 days
680.5
DO50809
56 years, male, NA, stage:3, dead, 720 days
678.2
DO45241
49 years, male, NA, stage:1, alive, 1080 days
677.8
DO45093
71 years, male, NA, stage:2, dead, 720 days
674.7
DO45101
63 years, male, NA, stage:2, alive, 1680 days
674.2
DO45231
84 years, male, NA, stage:2, alive, 930 days
674.1
DO45177
81 years, female, NA, stage:3, alive, 1260 days
670.9
DO45223
67 years, male, NA, stage:4, alive, 1020 days
670.1
DO45129
61 years, male, NA, stage:3, alive, 1470 days
665.4
DO48730
73 years, female, NA, stage:2, alive, 630 days
660.9
DO45235
68 years, female, NA, stage:1, alive, 900 days
660.8
DO50825
70 years, male, NA, stage:2, alive, 390 days
655.6
DO50840
49 years, male, NA, stage:2, alive, 330 days
651.5
DO45095
66 years, male, NA, stage:2, alive, 1620 days
638.2
DO48737
52 years, male, NA, stage:1, alive, 720 days
634.2
DO45233
83 years, male, NA, stage:3, alive, 900 days
632.9
DO23529
72 years, male, NA, stage:4, alive, 930 days
626.2
DO45107
63 years, female, NA, stage:2, alive, 1710 days
617.7
DO50819
72 years, female, NA, stage:2, alive, 510 days
616.6
DO45115
81 years, male, NA, stage:2, alive, 840 days
612.6
DO50789
73 years, female, NA, stage:2, alive, 570 days
606.2
DO23525
71 years, male, NA, stage:4, alive, 1050 days
600.8
DO23538
67 years, male, NA, stage:2, alive, 450 days
599.4
DO48747
62 years, male, NA, stage:3, alive, 540 days
596.5
DO45183
72 years, female, NA, stage:2, dead, 570 days
593.7
DO50844
75 years, male, NA, stage:4, alive, 300 days
591.2
DO45285
59 years, male, NA, stage:3, alive, 480 days
589.3
DO48700
78 years, female, NA, stage:2, alive, 810 days
575.6
DO45167
67 years, male, NA, stage:2, dead, 1440 days
574.6
DO45159
65 years, male, NA, stage:3, alive, 1470 days
569.2
DO50802
49 years, male, NA, stage:2, alive, 930 days
566.9
DO45269
59 years, male, NA, stage:3, alive, 750 days
566.2
DO45153
77 years, female, NA, stage:2, alive, 1380 days
566.1
DO48701
78 years, male, NA, stage:2, alive, 780 days
566.0
DO45225
69 years, male, NA, stage:1, alive, 1050 days
557.5
DO45263
67 years, male, NA, stage:3, dead, 270 days
554.7
DO45215
65 years, male, NA, stage:2, alive, 1170 days
543.3
DO23540
73 years, male, NA, stage:1, alive, 750 days
543.0
DO48706
72 years, male, NA, stage:2, alive, 870 days
523.1
DO50832
73 years, male, NA, stage:3, alive, 90 days
522.6
DO23514
64 years, male, NA, stage:2, alive, 1290 days
522.0
DO45161
74 years, male, NA, stage:2, dead, 540 days
521.9
DO48761
55 years, male, NA, stage:2, alive, 870 days
512.8
DO23510
80 years, female, NA, stage:2, alive, 870 days
510.7
DO23532
71 years, female, NA, stage:1, alive, 960 days
502.1
DO227801
77 years, female, NA, stage:1, alive, 660 days
489.3
DO50803
62 years, female, NA, stage:1, alive, 540 days
488.9
DO45221
75 years, female, NA, stage:4, dead, 390 days
484.9
DO45261
74 years, male, NA, stage:3, alive, 990 days
481.7
DO45173
63 years, male, NA, stage:3, alive, 1170 days
481.7
DO45133
64 years, male, NA, stage:3, dead, 660 days
480.6
DO48725
66 years, male, NA, stage:1, alive, 780 days
475.5
DO23512
60 years, male, NA, stage:1, alive, 1260 days
470.3
DO48733
72 years, male, NA, stage:2, alive, 600 days
464.2
DO50783
62 years, male, NA, stage:3, alive, 480 days
462.4
DO45109
63 years, male, NA, stage:2, alive, 1590 days
462.0
DO45265
73 years, male, NA, stage:3, alive, 1020 days
460.4
DO227643
79 years, male, NA, stage:2, alive, 1260 days
459.4
DO45289
78 years, female, NA, stage:3, alive, 360 days
455.9
DO45165
75 years, male, NA, stage:2, alive, 690 days
453.3
DO45181
84 years, female, NA, stage:2, alive, 1200 days
451.4
DO50818
65 years, male, NA, stage:2, alive, 510 days
450.3
DO45143
69 years, male, NA, stage:3, alive, 1290 days
448.8
DO50816
63 years, male, NA, stage:2, alive, 390 days
447.7
DO45247
31 years, female, NA, stage:2, alive, 210 days
439.7
DO48704
68 years, female, NA, stage:3, alive, 750 days
437.0
DO48695
77 years, male, NA, stage:2, alive, 720 days
435.8
DO48677
58 years, male, NA, stage:3, alive, 1140 days
435.7
DO45097
69 years, male, NA, stage:3, alive, 1620 days
435.3
DO23542
66 years, male, NA, stage:3, alive, 960 days
432.5
DO45125
58 years, male, NA, stage:3, alive, 1680 days
430.1
DO23551
73 years, male, NA, stage:3, dead, 150 days
425.3
DO45201
49 years, male, NA, stage:1, alive, 900 days
425.1
DO45094
76 years, male, NA, stage:3, alive, 1650 days
421.9
DO48693
71 years, male, NA, stage:2, alive, 900 days
412.8
DO23508
79 years, female, NA, stage:2, alive, 390 days
398.0
DO45175
74 years, male, NA, stage:2, alive, 1140 days
397.8
DO48682
72 years, female, NA, stage:3, dead, 120 days
397.0
DO50774
68 years, female, NA, stage:2, alive, 720 days
393.6
DO50805
72 years, male, NA, stage:2, alive, 690 days
392.8
DO23544
67 years, male, NA, stage:2, alive, 960 days
392.7
DO48727
81 years, female, NA, stage:2, dead, 390 days
378.1
DO50807
67 years, male, NA, stage:1, alive, 540 days
375.4
DO23536
56 years, male, NA, stage:2, alive, 930 days
371.1
DO23517
62 years, male, NA, stage:2, alive, 1200 days
361.1
DO50793
76 years, male, NA, stage:4, alive, 540 days
360.0
DO45171
56 years, male, NA, stage:3, alive, 600 days
357.9
DO50776
75 years, male, NA, stage:1, alive, 690 days
357.8
DO45123
78 years, female, NA, stage:2, dead, 570 days
354.3
DO45195
62 years, male, NA, stage:1, alive, 390 days
353.7
DO48716
71 years, male, NA, stage:2, alive, 720 days
350.5
DO23527
72 years, male, NA, stage:1, alive, 1050 days
345.1
DO45163
76 years, male, NA, stage:2, alive, 960 days
345.0
DO45113
58 years, male, NA, stage:3, alive, 1560 days
343.8
DO48760
70 years, female, NA, stage:2, alive, 690 days
342.9
DO23533
61 years, male, NA, stage:2, alive, 900 days
340.7
DO45229
74 years, male, NA, stage:1, alive, 990 days
336.3
DO48742
76 years, male, NA, stage:2, alive, 600 days
326.3
DO45191
61 years, female, NA, stage:2, alive, 1200 days
325.9
DO48672
81 years, male, NA, stage:2, alive, 450 days
325.3
DO23531
78 years, female, NA, stage:3, alive, 900 days
322.0
DO45111
74 years, male, NA, stage:2, alive, 1590 days
319.5
DO45169
74 years, male, NA, stage:3, alive, 1350 days
318.3
DO45227
57 years, female, NA, stage:2, alive, 1020 days
308.8
DO23518
67 years, male, NA, stage:2, alive, 1320 days
305.0
DO45239
42 years, male, NA, stage:2, alive, 870 days
290.0
DO23516
69 years, male, NA, stage:3, dead, 20 days
282.7
DO48721
58 years, female, NA, stage:1, alive, 900 days
257.8
DO48674
80 years, male, NA, stage:2, alive, 1260 days
256.7
DO50859
77 years, male, NA, stage:2, alive, 180 days
248.7
DO48741
64 years, male, NA, stage:3, alive, 240 days
242.3
DO50822
66 years, male, NA, stage:2, alive, 510 days
227.1
DO48746
76 years, male, NA, stage:3, alive, 570 days
212.5
DO50814
83 years, male, NA, stage:3, alive, 420 days
211.4
DO50811
62 years, male, NA, stage:1, alive, 450 days
191.0
DO50850
74 years, male, NA, stage:3, alive, 720 days
189.2
DO50804
81 years, male, NA, stage:2, alive, 720 days
180.0
DO23511
83 years, female, NA, stage:3, dead, 180 days
179.8
DO45199
86 years, female, NA, stage:2, alive, 1350 days
170.3
DO48751
68 years, male, NA, stage:2, dead, 480 days
148.6
DO50839
47 years, female, NA, stage:3, alive, 330 days
94.3
DO45209
70 years, male, NA, stage:4, alive, 1350 days
59.9
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LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
192
Normal
0.6
112
Tumor
0.6
777
Tumor
0.6
221
Tumor
0.5
627
Tumor
0.5
921
Tumor
0.4
471
Tumor
0.4
617
Tumor
0.4
527
Tumor
0.4
396
Normal
0.4
444
Normal
0.4
126
Normal
0.4
881
Tumor
0.4
443
Tumor
0.4
432
Normal
0.3
455
Tumor
0.3
461
Tumor
0.3
434
Normal
0.3
227
Tumor
0.3
545
Tumor
0.3
618
Normal
0.3
421
Tumor
0.3
222
Normal
0.3
344
Normal
0.3
728
Normal
0.3
1022
Normal
0.3
641
Tumor
0.3
573
Tumor
0.3
498
Normal
0.3
1046
Normal
0.3
944
Normal
0.3
212
Normal
0.3
312
Normal
0.3
664
Normal
0.3
332
Normal
0.3
862
Normal
0.3
716
Normal
0.3
868
Normal
0.3
914
Normal
0.3
425
Tumor
0.3
111
Normal
0.3
268
Normal
0.3
574
Normal
0.3
924
Normal
0.3
388
Normal
0.3
465
Tumor
0.3
196
Normal
0.3
1032
Normal
0.2
723
Tumor
0.2
352
Normal
0.2
195
Tumor
0.2
672
Normal
0.2
742
Normal
0.2
744
Normal
0.2
271
Tumor
0.2
448
Normal
0.2
132
Normal
0.2
538
Normal
0.2
975
Tumor
0.2
523
Tumor
0.2
413
Tumor
0.2
356
Normal
0.2
553
Tumor
0.2
426
Normal
0.2
464
Normal
0.2
878
Normal
0.2
572
Normal
0.2
616
Normal
0.2
648
Normal
0.2
1025
Tumor
0.2
864
Normal
0.2
558
Normal
0.2
466
Normal
0.2
342
Normal
0.2
568
Normal
0.2
778
Normal
0.2
146
Normal
0.2
713
Tumor
0.2
363
Tumor
0.2
917
Tumor
0.2
813
Tumor
0.2
456
Normal
0.2
385
Tumor
0.2
138
Normal
0.2
516
Normal
0.2
984
Normal
0.2
816
Normal
0.2
738
Normal
0.2
214
Normal
0.2
952
Normal
0.2
954
Normal
0.2
436
Normal
0.2
478
Normal
0.2
916
Normal
0.2
386
Normal
0.2
695
Tumor
0.2
686
Normal
0.2
536
Normal
0.2
746
Normal
0.2
424
Normal
0.2
362
Normal
0.2
131
Tumor
0.2
518
Normal
0.2
368
Normal
0.2
721
Tumor
0.2
817
Tumor
0.2
384
Normal
0.2
298
Normal
0.2
422
Normal
0.2
1044
Normal
0.2
162
Normal
0.2
284
Normal
0.2
698
Normal
0.2
172
Normal
0.2
484
Normal
0.2
446
Normal
0.2
636
Normal
0.1
964
Normal
0.1
467
Tumor
0.1
218
Normal
0.1
563
Tumor
0.1
314
Normal
0.1
492
Normal
0.1
976
Normal
0.1
1028
Normal
0.1
874
Normal
0.1
262
Normal
0.1
922
Normal
0.1
786
Normal
0.1
1042
Normal
0.1
877
Tumor
0.1
272
Normal
0.1
514
Normal
0.1
528
Normal
0.1
188
Normal
0.1
474
Normal
0.1
142
Normal
0.1
366
Normal
0.1
258
Normal
0.1
128
Normal
0.1
628
Normal
0.1
468
Normal
0.1
412
Normal
0.1
414
Normal
0.1
364
Normal
0.1
186
Normal
0.1
376
Normal
0.1
818
Normal
0.1
217
Tumor
0.1
278
Normal
0.1
1016
Normal
0.1
148
Normal
0.1
866
Normal
0.1
224
Normal
0.1
958
Normal
0.1
756
Normal
0.1
968
Normal
0.1
824
Normal
0.1
938
Normal
0.1
534
Normal
0.1
428
Normal
0.1
564
Normal
0.1
1021
Tumor
0.1
546
Normal
0.1
696
Normal
0.1
416
Normal
0.1
114
Normal
0.1
277
Tumor
0.1
228
Normal
0.1
852
Normal
0.1
394
Normal
0.1
524
Normal
0.1
1014
Normal
0.1
136
Normal
0.1
918
Normal
0.1
912
Normal
0.1
714
Normal
0.1
472
Normal
0.1
462
Normal
0.1
482
Normal
0.1
526
Normal
0.1
926
Normal
0.1
185
Tumor
0.1
966
Normal
0.1
357
Tumor
0.1
978
Normal
0.1
666
Normal
0.1
354
Normal
0.1
452
Normal
0.1
642
Normal
0.1
232
Normal
0.1
124
Normal
0.1
662
Normal
0.1
882
Normal
0.1
488
Normal
0.0
857
Tumor
0.0
873
Tumor
0.0
494
Normal
0.0
328
Normal
0.0
884
Normal
0.0
722
Normal
0.0
213
Tumor
0.0
955
Tumor
0.0
956
Normal
0.0
1026
Normal
0.0
977
Tumor
0.0
392
Normal
0.0
858
Normal
0.0
851
Tumor
0.0
327
Tumor
0.0
957
Tumor
0.0
1043
Tumor
0.0
286
Normal
0.0
125
Tumor
0.0
297
Tumor
0.0
447
Tumor
0.0
1045
Tumor
0.0
191
Tumor
0.0
963
Tumor
0.0
815
Tumor
0.0
982
Normal
0.0
135
Tumor
0.0
863
Tumor
0.0
737
Tumor
0.0
427
Tumor
0.0
223
Tumor
0.0
343
Tumor
0.0
861
Tumor
0.0
943
Tumor
0.0
814
Normal
0.0
1031
Tumor
0.0
358
Normal
0.0
415
Tumor
0.0
571
Tumor
-0.1
433
Tumor
-0.1
867
Tumor
-0.1
383
Tumor
-0.1
823
Tumor
-0.1
341
Tumor
-0.1
483
Tumor
-0.1
755
Tumor
-0.1
331
Tumor
-0.1
535
Tumor
-0.1
145
Tumor
-0.1
311
Tumor
-0.1
355
Tumor
-0.1
147
Tumor
-0.1
487
Tumor
-0.1
554
Normal
-0.1
615
Tumor
-0.1
375
Tumor
-0.1
883
Tumor
-0.1
491
Tumor
-0.1
481
Tumor
-0.1
497
Tumor
-0.1
913
Tumor
-0.1
367
Tumor
-0.2
445
Tumor
-0.2
423
Tumor
-0.2
261
Tumor
-0.2
113
Tumor
-0.2
451
Tumor
-0.2
671
Tumor
-0.2
463
Tumor
-0.2
285
Tumor
-0.2
283
Tumor
-0.2
137
Tumor
-0.2
161
Tumor
-0.2
365
Tumor
-0.2
187
Tumor
-0.2
211
Tumor
-0.2
493
Tumor
-0.2
1041
Tumor
-0.2
967
Tumor
-0.3
353
Tumor
-0.3
525
Tumor
-0.3
647
Tumor
-0.3
937
Tumor
-0.3
557
Tumor
-0.3
951
Tumor
-0.3
745
Tumor
-0.3
1015
Tumor
-0.3
141
Tumor
-0.3
661
Tumor
-0.3
477
Tumor
-0.3
741
Tumor
-0.3
431
Tumor
-0.3
635
Tumor
-0.3
411
Tumor
-0.3
911
Tumor
-0.3
785
Tumor
-0.3
567
Tumor
-0.3
533
Tumor
-0.3
393
Tumor
-0.3
517
Tumor
-0.3
513
Tumor
-0.3
981
Tumor
-0.3
983
Tumor
-0.4
257
Tumor
-0.4
697
Tumor
-0.4
915
Tumor
-0.4
743
Tumor
-0.4
685
Tumor
-0.4
313
Tumor
-0.4
663
Tumor
-0.4
127
Tumor
-0.4
391
Tumor
-0.5
923
Tumor
-0.5
724
Normal
-0.5
715
Tumor
-0.5
231
Tumor
-0.5
953
Tumor
-0.5
925
Tumor
-0.5
387
Tumor
-0.5
435
Tumor
-0.5
351
Tumor
-0.5
727
Tumor
-0.6
665
Tumor
-0.6
865
Tumor
-0.6
473
Tumor
-0.6
515
Tumor
-0.6
171
Tumor
-0.7
267
Tumor
-0.7
1013
Tumor
-0.7
1027
Tumor
-0.7
537
Tumor
-0.8
361
Tumor
-0.9
965
Tumor
-0.9
395
Tumor
-1.0
123
Tumor
-1.1
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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
