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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 potential prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
468.0
Number of samples
362
Samples
Sample
Description
TPM
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
1582.2
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1449.3
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1406.3
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
1392.2
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
1390.1
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
1305.6
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1284.4
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1261.4
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1248.8
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
1248.7
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1194.4
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
1188.8
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
1173.3
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1171.4
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
1162.4
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1132.3
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
1117.2
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1103.8
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1075.8
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
1048.8
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
1034.2
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1030.6
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1011.0
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
985.7
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
970.1
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
968.0
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
967.6
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
955.7
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
953.9
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
947.3
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
941.5
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
927.5
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
913.5
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
892.7
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
877.6
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
876.6
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
855.2
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
845.0
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
844.1
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
821.9
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
808.6
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
789.7
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
784.7
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
780.9
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
779.1
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
778.2
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
766.2
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
765.1
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
752.4
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
738.7
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
731.4
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
724.0
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
723.1
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
721.1
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
712.2
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
711.0
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
702.6
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
698.8
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
695.9
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
694.4
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
691.5
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
690.3
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
683.4
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
675.8
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
675.2
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
674.3
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
668.5
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
667.9
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
666.6
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
664.0
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
662.7
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
660.0
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
659.2
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
658.2
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
656.0
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
655.4
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
650.1
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
648.9
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
646.2
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
644.9
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
644.4
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
624.7
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
623.4
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
612.7
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
611.0
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
608.3
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
607.4
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
606.9
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
605.7
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
605.1
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
602.1
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
602.0
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
597.7
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
596.6
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
592.4
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
590.6
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
588.2
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
587.5
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
584.5
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
584.4
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
581.3
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
578.5
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
576.2
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
575.7
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
575.4
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
569.0
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
563.8
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
556.6
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
555.9
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
550.1
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
548.6
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
544.9
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
538.2
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
536.5
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
533.6
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
531.3
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
531.0
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
528.2
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
523.5
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
522.9
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
520.6
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
517.9
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
509.5
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
509.3
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
503.0
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
500.2
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
499.9
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
496.7
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
492.6
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
487.1
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
486.2
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
483.4
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
481.8
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
479.4
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
479.2
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
479.0
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
478.3
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
477.6
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
472.7
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
472.5
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
470.4
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
464.9
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
464.2
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
463.8
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
463.6
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
461.5
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
460.8
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
459.2
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
457.1
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
456.6
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
455.6
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
454.2
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
450.8
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
446.0
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
445.5
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
444.4
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
442.5
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
437.9
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
437.4
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
434.9
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
434.8
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
431.7
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
430.9
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
430.8
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
430.5
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
428.3
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
426.6
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
424.2
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
424.2
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
422.6
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
417.1
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
416.4
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
415.9
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
415.2
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
415.0
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
414.8
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
413.5
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
412.9
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
412.1
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
411.4
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
410.5
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
409.4
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
409.1
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
403.4
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
399.3
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
395.5
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
394.9
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
393.1
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
391.4
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
390.9
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
387.6
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
387.5
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
381.7
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
378.7
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
378.4
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
376.4
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
375.1
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
370.8
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
366.7
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
366.4
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
365.4
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
364.6
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
363.9
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
359.4
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
357.8
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
356.4
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
356.3
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
353.9
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
349.6
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
347.7
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
346.3
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
346.1
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
343.4
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
343.2
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
340.1
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
339.7
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
338.4
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
338.3
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
336.7
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
335.6
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
335.1
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
334.5
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
332.2
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
329.6
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
329.2
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
328.9
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
328.7
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
327.0
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
325.8
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
325.6
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
324.5
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
324.5
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
321.4
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
320.2
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
318.4
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
313.1
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
311.9
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
310.7
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
310.0
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
308.5
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
308.0
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
305.4
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
305.1
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
304.9
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
304.5
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
303.0
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
301.5
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
301.0
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
300.8
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
298.9
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
297.1
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
296.7
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
295.4
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
291.6
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
289.7
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
289.7
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
289.5
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
289.2
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
288.5
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
283.5
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
282.8
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
280.6
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
279.8
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
278.0
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
277.3
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
274.9
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
274.9
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
270.8
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
270.7
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
269.7
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
267.8
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
266.5
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
264.6
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
264.0
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
263.3
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
262.8
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
262.2
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
261.5
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
259.8
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
257.5
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
255.5
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
255.4
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
251.7
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
249.2
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
245.8
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
244.1
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
243.5
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
243.2
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
242.3
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
238.1
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
237.4
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
235.3
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
235.3
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
234.2
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
233.4
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
233.1
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
232.0
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
227.5
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
227.4
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
225.9
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
223.4
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
221.9
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
221.5
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
221.5
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
220.8
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
217.3
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
211.4
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
211.3
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
208.9
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
208.0
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
207.8
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
202.0
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
201.1
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
195.1
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
194.9
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
192.6
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
192.0
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
190.2
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
187.4
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
185.7
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
185.7
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
185.5
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
184.6
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
184.0
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
183.8
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
183.0
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
182.2
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
181.3
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
178.9
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
177.7
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
174.3
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
172.8
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
169.4
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
168.9
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
167.5
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
166.6
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
164.0
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
152.9
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
150.8
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
149.0
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
146.8
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
144.5
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
144.1
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
142.9
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
142.3
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
141.7
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
140.8
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
137.7
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
137.7
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
136.5
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
126.4
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
121.9
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
121.6
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
104.4
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
103.0
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
100.5
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
69.9
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
68.1
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
53.3
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
42.1
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
39.5
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 TPM
453.2
Number of samples
231
Samples
Sample
Description
TPM
DO50815
62 years, male, NA, stage:3, alive, 150 days
3122.2
DO23547
74 years, male, NA, stage:1, alive, 1020 days
1427.6
DO45145
78 years, male, NA, stage:3, dead, 60 days
1389.7
DO45301
56 years, male, NA, stage:2, dead, 1440 days
1220.4
DO45105
61 years, male, NA, stage:1, alive, 1680 days
1178.1
DO23523
52 years, male, NA, stage:3, alive, 1080 days
1154.9
DO45197
51 years, male, NA, stage:2, alive, 1170 days
1088.8
DO45155
69 years, male, NA, stage:2, alive, 2160 days
993.8
DO45091
56 years, male, NA, stage:2, dead, 1320 days
992.5
DO23552
80 years, female, NA, stage:1, alive, 810 days
954.5
DO23549
74 years, male, NA, stage:3, alive, 990 days
945.8
DO45121
61 years, male, NA, stage:3, alive, 1530 days
935.2
DO45277
64 years, male, NA, stage:3, alive, 600 days
914.3
DO45211
76 years, male, NA, stage:3, alive, 240 days
912.9
DO23515
71 years, male, NA, stage:2, alive, 1230 days
877.4
DO50778
60 years, male, NA, stage:4, alive, 630 days
860.0
DO23526
66 years, male, NA, stage:3, alive, 1050 days
845.0
DO45119
74 years, male, NA, stage:3, dead, 510 days
833.5
DO45245
75 years, female, NA, stage:2, dead, 240 days
818.8
DO48712
50 years, male, NA, stage:2, alive, 810 days
809.9
DO23539
77 years, male, NA, stage:1, alive, 1110 days
801.7
DO23537
79 years, male, NA, stage:2, dead, 900 days
799.5
DO45096
69 years, male, NA, stage:2, dead, 1290 days
797.3
DO48720
62 years, female, NA, stage:2, alive, 570 days
795.9
DO45267
73 years, male, NA, stage:3, dead, 570 days
749.6
DO45127
73 years, male, NA, stage:3, dead, 420 days
743.0
DO45189
85 years, female, NA, stage:2, alive, 1200 days
740.5
DO45131
53 years, male, NA, stage:4, dead, 360 days
729.9
DO45103
47 years, male, NA, stage:3, alive, 450 days
729.4
DO45299
70 years, female, NA, stage:1, alive, 1440 days
714.6
DO50799
66 years, female, NA, stage:2, alive, 540 days
699.7
DO45305
66 years, male, NA, stage:4, alive, 300 days
691.9
DO45273
62 years, male, NA, stage:2, alive, 480 days
680.9
DO45213
58 years, male, NA, stage:1, alive, 1200 days
674.0
DO45193
68 years, female, NA, stage:4, dead, 120 days
658.3
DO23545
67 years, male, NA, stage:2, dead, 570 days
647.7
DO45137
38 years, male, NA, stage:1, alive, 1320 days
635.7
DO50791
79 years, female, NA, stage:1, dead, 480 days
635.4
DO45275
65 years, male, NA, stage:3, dead, 10 days
628.6
DO45099
46 years, male, NA, stage:3, alive, 1590 days
624.1
DO23524
71 years, female, NA, stage:2, alive, 1050 days
623.7
DO45307
54 years, female, NA, stage:4, dead, 240 days
623.3
DO45257
46 years, male, NA, stage:3, alive, 810 days
622.7
DO23535
67 years, male, NA, stage:1, alive, 960 days
616.1
DO45139
63 years, male, NA, stage:3, alive, 1320 days
612.4
DO23519
65 years, male, NA, stage:3, alive, 630 days
607.7
DO45303
62 years, female, NA, stage:3, alive, 990 days
607.5
DO45149
70 years, female, NA, stage:2, alive, 1260 days
601.2
DO48681
57 years, male, NA, stage:2, alive, 900 days
599.1
DO48732
73 years, male, NA, stage:3, alive, 630 days
594.9
DO45243
74 years, female, NA, stage:3, alive, 930 days
594.6
DO50829
78 years, male, NA, stage:3, alive, 570 days
583.2
DO50855
47 years, male, NA, stage:2, alive, 570 days
581.5
DO45092
62 years, male, NA, stage:4, dead, 1200 days
576.0
DO45219
78 years, male, NA, stage:2, alive, 1080 days
573.8
DO23528
45 years, female, NA, stage:2, alive, 1020 days
573.0
DO50813
56 years, male, NA, stage:2, alive, 420 days
572.0
DO48736
76 years, female, NA, stage:1, alive, 600 days
556.4
DO50787
63 years, male, NA, stage:3, alive, 480 days
554.7
DO45249
57 years, male, NA, stage:1, alive, 630 days
554.7
DO45205
67 years, female, NA, stage:2, dead, 90 days
548.5
DO45135
77 years, male, NA, stage:1, alive, 1410 days
547.5
DO50800
74 years, male, NA, stage:2, alive, 510 days
539.5
DO48757
68 years, female, NA, stage:3, alive, 480 days
535.5
DO50806
70 years, male, NA, stage:4, alive, 540 days
535.0
DO45251
57 years, female, NA, stage:2, alive, 900 days
528.2
DO23530
53 years, male, NA, stage:4, dead, 180 days
528.0
DO48728
74 years, female, NA, stage:2, alive, 150 days
525.8
DO45255
81 years, male, NA, stage:3, alive, 720 days
525.5
DO45141
73 years, male, NA, stage:2, alive, 1320 days
525.0
DO50808
68 years, male, NA, stage:2, alive, 570 days
518.4
DO48679
72 years, male, NA, stage:2, alive, 1200 days
516.6
DO50785
37 years, male, NA, stage:4, dead, 90 days
515.6
DO23548
78 years, female, NA, stage:1, alive, 840 days
504.5
DO45287
74 years, male, NA, stage:1, alive, 390 days
502.6
DO48759
73 years, male, NA, stage:3, alive, 720 days
488.8
DO45253
50 years, male, NA, stage:2, alive, 870 days
488.3
DO48723
73 years, male, NA, stage:1, alive, 600 days
486.1
DO23550
69 years, male, NA, stage:1, alive, 990 days
485.9
DO48715
58 years, female, NA, stage:2, dead, 690 days
481.5
DO48719
80 years, male, NA, stage:2, alive, 690 days
480.7
DO45207
68 years, male, NA, stage:1, alive, 1050 days
473.7
DO23541
65 years, male, NA, stage:2, alive, 930 days
469.7
DO48697
64 years, female, NA, stage:2, dead, 810 days
467.4
DO23534
60 years, male, NA, stage:2, alive, 840 days
466.7
DO45187
32 years, female, NA, stage:1, alive, 1260 days
465.7
DO45241
49 years, male, NA, stage:1, alive, 1080 days
462.5
DO45217
69 years, female, NA, stage:3, dead, 270 days
459.8
DO48743
69 years, female, NA, stage:2, alive, 570 days
456.4
DO23521
63 years, male, NA, stage:3, alive, 1110 days
455.9
DO45093
71 years, male, NA, stage:2, dead, 720 days
455.1
DO23513
76 years, male, NA, stage:3, alive, 1200 days
453.9
DO45281
83 years, male, NA, stage:4, alive, 750 days
444.9
DO45185
89 years, male, NA, stage:2, alive, 600 days
437.0
DO50825
70 years, male, NA, stage:2, alive, 390 days
435.7
DO45297
61 years, female, NA, stage:4, dead, 1260 days
433.8
DO23546
63 years, male, NA, stage:2, alive, 1050 days
432.7
DO50817
75 years, male, NA, stage:2, alive, 390 days
431.3
DO45101
63 years, male, NA, stage:2, alive, 1680 days
430.2
DO45179
78 years, female, NA, stage:2, alive, 600 days
428.3
DO45117
73 years, female, NA, stage:2, dead, 1110 days
428.0
DO50845
72 years, male, NA, stage:3, alive, 210 days
427.1
DO45285
59 years, male, NA, stage:3, alive, 480 days
427.0
DO50820
77 years, female, NA, stage:3, alive, 510 days
426.7
DO50857
72 years, male, NA, stage:2, alive, 210 days
426.6
DO23543
63 years, male, NA, stage:2, alive, 1020 days
421.6
DO45095
66 years, male, NA, stage:2, alive, 1620 days
416.6
DO45129
61 years, male, NA, stage:3, alive, 1470 days
414.5
DO45203
71 years, female, NA, stage:2, alive, 1170 days
413.6
DO50798
77 years, male, NA, stage:3, dead, 30 days
409.0
DO23509
60 years, male, NA, stage:3, dead, 780 days
404.7
DO48717
54 years, male, NA, stage:4, dead, 180 days
402.6
DO45259
65 years, male, NA, stage:3, alive, 330 days
400.3
DO45177
81 years, female, NA, stage:3, alive, 1260 days
400.0
DO50809
56 years, male, NA, stage:3, dead, 720 days
395.7
DO48737
52 years, male, NA, stage:1, alive, 720 days
394.5
DO45107
63 years, female, NA, stage:2, alive, 1710 days
392.3
DO45223
67 years, male, NA, stage:4, alive, 1020 days
391.9
DO23525
71 years, male, NA, stage:4, alive, 1050 days
390.3
DO50789
73 years, female, NA, stage:2, alive, 570 days
389.6
DO50840
49 years, male, NA, stage:2, alive, 330 days
387.5
DO45115
81 years, male, NA, stage:2, alive, 840 days
386.9
DO45167
67 years, male, NA, stage:2, dead, 1440 days
386.6
DO45279
67 years, male, NA, stage:3, alive, 1290 days
383.7
DO45237
58 years, male, NA, stage:2, alive, 900 days
376.2
DO48747
62 years, male, NA, stage:3, alive, 540 days
376.1
DO45183
72 years, female, NA, stage:2, dead, 570 days
374.2
DO45235
68 years, female, NA, stage:1, alive, 900 days
374.0
DO23538
67 years, male, NA, stage:2, alive, 450 days
366.9
DO45157
62 years, male, NA, stage:2, alive, 1980 days
365.2
DO48730
73 years, female, NA, stage:2, alive, 630 days
361.3
DO45233
83 years, male, NA, stage:3, alive, 900 days
359.8
DO50819
72 years, female, NA, stage:2, alive, 510 days
359.6
DO45283
60 years, male, NA, stage:3, alive, 510 days
358.5
DO45269
59 years, male, NA, stage:3, alive, 750 days
356.9
DO48701
78 years, male, NA, stage:2, alive, 780 days
351.9
DO48700
78 years, female, NA, stage:2, alive, 810 days
350.5
DO45153
77 years, female, NA, stage:2, alive, 1380 days
350.1
DO45231
84 years, male, NA, stage:2, alive, 930 days
349.6
DO23529
72 years, male, NA, stage:4, alive, 930 days
348.4
DO48706
72 years, male, NA, stage:2, alive, 870 days
347.2
DO45109
63 years, male, NA, stage:2, alive, 1590 days
341.3
DO23540
73 years, male, NA, stage:1, alive, 750 days
334.1
DO50802
49 years, male, NA, stage:2, alive, 930 days
333.2
DO50844
75 years, male, NA, stage:4, alive, 300 days
328.6
DO45161
74 years, male, NA, stage:2, dead, 540 days
320.2
DO50783
62 years, male, NA, stage:3, alive, 480 days
318.1
DO227801
77 years, female, NA, stage:1, alive, 660 days
313.1
DO45221
75 years, female, NA, stage:4, dead, 390 days
309.9
DO50803
62 years, female, NA, stage:1, alive, 540 days
307.3
DO48725
66 years, male, NA, stage:1, alive, 780 days
306.6
DO50832
73 years, male, NA, stage:3, alive, 90 days
305.9
DO48761
55 years, male, NA, stage:2, alive, 870 days
305.9
DO45215
65 years, male, NA, stage:2, alive, 1170 days
302.1
DO45173
63 years, male, NA, stage:3, alive, 1170 days
301.8
DO23510
80 years, female, NA, stage:2, alive, 870 days
301.0
DO45261
74 years, male, NA, stage:3, alive, 990 days
300.2
DO23532
71 years, female, NA, stage:1, alive, 960 days
298.5
DO227643
79 years, male, NA, stage:2, alive, 1260 days
293.6
DO45143
69 years, male, NA, stage:3, alive, 1290 days
290.7
DO23514
64 years, male, NA, stage:2, alive, 1290 days
289.5
DO45289
78 years, female, NA, stage:3, alive, 360 days
288.1
DO23508
79 years, female, NA, stage:2, alive, 390 days
287.9
DO50818
65 years, male, NA, stage:2, alive, 510 days
285.7
DO45159
65 years, male, NA, stage:3, alive, 1470 days
285.1
DO45097
69 years, male, NA, stage:3, alive, 1620 days
283.9
DO45265
73 years, male, NA, stage:3, alive, 1020 days
283.2
DO45225
69 years, male, NA, stage:1, alive, 1050 days
280.4
DO45181
84 years, female, NA, stage:2, alive, 1200 days
279.1
DO50816
63 years, male, NA, stage:2, alive, 390 days
278.8
DO23512
60 years, male, NA, stage:1, alive, 1260 days
277.6
DO23551
73 years, male, NA, stage:3, dead, 150 days
274.7
DO45165
75 years, male, NA, stage:2, alive, 690 days
274.2
DO45125
58 years, male, NA, stage:3, alive, 1680 days
274.2
DO45201
49 years, male, NA, stage:1, alive, 900 days
272.9
DO48704
68 years, female, NA, stage:3, alive, 750 days
272.0
DO50805
72 years, male, NA, stage:2, alive, 690 days
271.7
DO45133
64 years, male, NA, stage:3, dead, 660 days
271.3
DO48693
71 years, male, NA, stage:2, alive, 900 days
270.7
DO48733
72 years, male, NA, stage:2, alive, 600 days
266.4
DO45094
76 years, male, NA, stage:3, alive, 1650 days
265.7
DO45263
67 years, male, NA, stage:3, dead, 270 days
264.1
DO48695
77 years, male, NA, stage:2, alive, 720 days
254.6
DO45247
31 years, female, NA, stage:2, alive, 210 days
254.2
DO45175
74 years, male, NA, stage:2, alive, 1140 days
253.5
DO50776
75 years, male, NA, stage:1, alive, 690 days
248.1
DO48677
58 years, male, NA, stage:3, alive, 1140 days
246.2
DO48682
72 years, female, NA, stage:3, dead, 120 days
238.1
DO48727
81 years, female, NA, stage:2, dead, 390 days
234.0
DO23544
67 years, male, NA, stage:2, alive, 960 days
233.8
DO23517
62 years, male, NA, stage:2, alive, 1200 days
233.6
DO23542
66 years, male, NA, stage:3, alive, 960 days
233.3
DO50774
68 years, female, NA, stage:2, alive, 720 days
227.9
DO45195
62 years, male, NA, stage:1, alive, 390 days
227.5
DO23536
56 years, male, NA, stage:2, alive, 930 days
222.6
DO48760
70 years, female, NA, stage:2, alive, 690 days
221.7
DO45229
74 years, male, NA, stage:1, alive, 990 days
220.7
DO48716
71 years, male, NA, stage:2, alive, 720 days
218.7
DO45171
56 years, male, NA, stage:3, alive, 600 days
218.2
DO50807
67 years, male, NA, stage:1, alive, 540 days
217.8
DO45163
76 years, male, NA, stage:2, alive, 960 days
212.0
DO50793
76 years, male, NA, stage:4, alive, 540 days
211.2
DO45123
78 years, female, NA, stage:2, dead, 570 days
210.5
DO23527
72 years, male, NA, stage:1, alive, 1050 days
205.9
DO45169
74 years, male, NA, stage:3, alive, 1350 days
205.6
DO48742
76 years, male, NA, stage:2, alive, 600 days
202.3
DO23531
78 years, female, NA, stage:3, alive, 900 days
201.5
DO23533
61 years, male, NA, stage:2, alive, 900 days
199.1
DO48672
81 years, male, NA, stage:2, alive, 450 days
198.9
DO45113
58 years, male, NA, stage:3, alive, 1560 days
196.2
DO48674
80 years, male, NA, stage:2, alive, 1260 days
191.3
DO23518
67 years, male, NA, stage:2, alive, 1320 days
190.0
DO45191
61 years, female, NA, stage:2, alive, 1200 days
183.9
DO45111
74 years, male, NA, stage:2, alive, 1590 days
183.2
DO48741
64 years, male, NA, stage:3, alive, 240 days
179.0
DO45227
57 years, female, NA, stage:2, alive, 1020 days
178.8
DO23516
69 years, male, NA, stage:3, dead, 20 days
178.4
DO50814
83 years, male, NA, stage:3, alive, 420 days
166.9
DO45239
42 years, male, NA, stage:2, alive, 870 days
160.1
DO48721
58 years, female, NA, stage:1, alive, 900 days
152.6
DO50859
77 years, male, NA, stage:2, alive, 180 days
148.3
DO50822
66 years, male, NA, stage:2, alive, 510 days
144.0
DO23511
83 years, female, NA, stage:3, dead, 180 days
123.0
DO50811
62 years, male, NA, stage:1, alive, 450 days
120.1
DO50850
74 years, male, NA, stage:3, alive, 720 days
119.5
DO48746
76 years, male, NA, stage:3, alive, 570 days
113.8
DO50804
81 years, male, NA, stage:2, alive, 720 days
111.4
DO45199
86 years, female, NA, stage:2, alive, 1350 days
111.0
DO48751
68 years, male, NA, stage:2, dead, 480 days
98.3
DO50839
47 years, female, NA, stage:3, alive, 330 days
73.4
DO45209
70 years, male, NA, stage:4, alive, 1350 days
34.6
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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
Show allShow less
LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.