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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.
GATM 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 TPM
418.2
Number of samples
362
Samples
Sample
Description
TPM
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
2345.1
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
1983.2
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
1436.7
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1423.7
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1421.0
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
1403.8
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
1393.4
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
1387.4
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1354.2
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
1344.8
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
1328.1
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
1323.2
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
1313.2
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
1246.2
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1207.5
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1203.0
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
1179.7
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
1174.4
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1164.9
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
1159.4
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
1110.1
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1089.4
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
1071.1
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
1060.8
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1057.3
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
1051.1
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
1049.2
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
1035.2
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
996.6
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
979.1
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
978.2
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
974.5
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
952.7
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
938.4
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
927.7
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
925.6
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
914.8
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
875.2
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
852.0
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
851.4
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
851.3
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
847.6
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
847.4
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
833.0
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
831.8
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
828.6
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
811.8
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
804.6
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
795.2
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
793.5
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
788.3
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
784.3
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
782.8
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
779.2
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
767.6
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
760.3
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
760.1
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
754.7
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
752.1
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
745.7
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
743.6
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
730.1
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
712.6
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
708.9
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
688.2
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
679.8
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
657.1
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
655.3
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
652.8
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
651.9
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
648.3
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
645.8
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
638.3
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
624.7
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
619.1
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
618.3
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
618.0
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
616.5
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
616.1
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
612.0
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
610.5
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
592.6
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
590.3
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
584.8
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
577.9
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
567.8
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
566.6
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
562.8
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
561.9
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
560.3
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
556.5
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
551.2
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
549.9
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
546.1
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
545.0
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
524.8
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
524.7
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
519.4
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
519.2
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
519.0
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
516.4
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
514.0
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
507.8
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
506.7
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
501.2
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
500.8
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
499.6
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
496.9
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
495.6
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
492.8
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
491.8
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
491.8
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
488.3
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
488.2
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
486.2
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
479.7
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
478.0
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
475.1
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
473.7
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
473.0
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
472.1
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
472.1
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
471.0
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
468.1
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
462.9
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
460.0
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
457.7
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
451.1
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
447.1
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
442.8
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
442.0
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
440.7
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
438.3
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
436.8
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
436.4
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
435.2
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
431.8
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
429.3
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
421.1
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
420.3
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
417.8
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
416.5
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
414.3
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
414.2
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
412.7
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
412.2
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
402.0
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
401.5
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
398.6
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
395.3
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
395.1
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
393.8
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
393.0
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
392.7
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
392.1
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
385.6
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
385.2
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
384.9
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
382.1
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
380.2
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
377.7
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
376.8
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
376.7
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
376.4
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
376.2
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
375.7
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
374.3
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
369.6
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
369.1
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
365.1
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
361.3
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
358.9
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
357.3
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
352.2
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
350.2
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
348.6
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
346.1
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
340.1
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
337.0
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
335.9
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
334.8
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
329.2
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
327.1
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
327.0
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
326.6
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
324.5
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
324.0
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
320.6
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
316.8
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
313.7
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
311.5
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
310.2
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
310.1
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
307.6
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
304.7
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
301.2
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
301.0
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
298.9
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
298.6
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
298.5
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
298.4
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
298.3
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
289.1
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
288.5
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
281.9
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
281.9
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
278.7
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
276.8
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
272.8
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
272.5
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
272.3
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
266.4
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
265.0
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
258.9
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
257.8
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
256.7
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
256.3
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
255.0
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
253.6
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
250.8
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
249.6
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
249.4
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
249.3
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
249.1
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
246.6
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
246.4
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
244.9
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
242.5
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
241.8
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
239.1
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
237.6
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
235.0
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
234.4
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
233.8
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
233.7
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
232.4
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
225.5
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
222.9
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
220.2
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
220.0
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
219.3
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
218.5
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
216.5
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
214.8
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
213.5
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
213.2
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
212.9
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
203.5
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
202.4
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
200.5
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
199.3
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
199.2
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
197.6
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
195.6
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
190.2
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
190.0
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
185.9
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
185.4
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
185.3
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
183.2
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
182.8
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
181.9
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
178.9
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
171.5
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
171.0
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
170.8
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
170.4
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
169.6
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
166.7
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
163.4
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
157.9
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
157.3
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
154.9
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
153.2
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
148.3
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
146.9
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
146.4
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
144.8
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
143.0
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
142.9
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
142.5
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
141.6
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
140.7
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
138.3
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
136.5
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
134.7
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
134.3
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
132.9
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
128.3
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
124.8
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
119.0
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
116.6
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
114.8
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
112.4
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
111.6
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
109.8
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
108.6
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
108.2
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
106.8
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
104.8
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
103.7
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
103.3
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
102.3
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
102.1
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
99.9
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
99.3
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
92.6
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
91.6
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
91.2
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
91.2
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
90.8
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
90.4
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
90.0
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
85.2
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
85.0
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
84.8
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
84.5
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
83.6
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
83.6
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
79.9
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
78.9
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
76.5
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
72.4
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
71.7
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
71.3
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
70.7
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
66.1
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
64.2
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
63.9
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
63.1
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
62.1
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
59.8
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
58.9
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
55.4
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
53.0
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
49.3
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
48.9
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
47.4
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
47.1
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
46.4
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
45.5
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
44.4
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
43.3
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
40.9
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
36.9
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
36.3
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
34.1
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
33.7
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
28.5
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
25.9
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
21.7
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
21.1
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
19.0
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
14.0
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
11.4
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
11.4
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
8.8
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
6.9
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
3.6
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
2.8
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
2.0
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 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.
GATM 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
493.3
Number of samples
231
Samples
Sample
Description
TPM
DO45129
61 years, male, NA, stage:3, alive, 1470 days
2145.0
DO45223
67 years, male, NA, stage:4, alive, 1020 days
2090.3
DO48759
73 years, male, NA, stage:3, alive, 720 days
1619.5
DO50787
63 years, male, NA, stage:3, alive, 480 days
1593.8
DO45111
74 years, male, NA, stage:2, alive, 1590 days
1406.6
DO48742
76 years, male, NA, stage:2, alive, 600 days
1392.3
DO48746
76 years, male, NA, stage:3, alive, 570 days
1308.4
DO45105
61 years, male, NA, stage:1, alive, 1680 days
1297.8
DO23535
67 years, male, NA, stage:1, alive, 960 days
1269.7
DO48672
81 years, male, NA, stage:2, alive, 450 days
1255.4
DO48681
57 years, male, NA, stage:2, alive, 900 days
1212.6
DO23509
60 years, male, NA, stage:3, dead, 780 days
1212.5
DO23534
60 years, male, NA, stage:2, alive, 840 days
1209.9
DO45179
78 years, female, NA, stage:2, alive, 600 days
1160.9
DO48761
55 years, male, NA, stage:2, alive, 870 days
1128.9
DO48727
81 years, female, NA, stage:2, dead, 390 days
1107.5
DO50832
73 years, male, NA, stage:3, alive, 90 days
1090.9
DO45233
83 years, male, NA, stage:3, alive, 900 days
1022.3
DO45247
31 years, female, NA, stage:2, alive, 210 days
1019.1
DO48677
58 years, male, NA, stage:3, alive, 1140 days
977.5
DO45227
57 years, female, NA, stage:2, alive, 1020 days
970.7
DO48712
50 years, male, NA, stage:2, alive, 810 days
967.4
DO45117
73 years, female, NA, stage:2, dead, 1110 days
955.9
DO50820
77 years, female, NA, stage:3, alive, 510 days
954.0
DO23526
66 years, male, NA, stage:3, alive, 1050 days
933.5
DO48682
72 years, female, NA, stage:3, dead, 120 days
933.4
DO45229
74 years, male, NA, stage:1, alive, 990 days
920.0
DO45187
32 years, female, NA, stage:1, alive, 1260 days
910.2
DO50783
62 years, male, NA, stage:3, alive, 480 days
908.9
DO45169
74 years, male, NA, stage:3, alive, 1350 days
886.1
DO23531
78 years, female, NA, stage:3, alive, 900 days
879.0
DO45101
63 years, male, NA, stage:2, alive, 1680 days
845.7
DO50844
75 years, male, NA, stage:4, alive, 300 days
833.4
DO50859
77 years, male, NA, stage:2, alive, 180 days
816.4
DO45137
38 years, male, NA, stage:1, alive, 1320 days
815.3
DO45143
69 years, male, NA, stage:3, alive, 1290 days
815.3
DO45175
74 years, male, NA, stage:2, alive, 1140 days
812.7
DO45131
53 years, male, NA, stage:4, dead, 360 days
811.9
DO50850
74 years, male, NA, stage:3, alive, 720 days
810.1
DO45191
61 years, female, NA, stage:2, alive, 1200 days
810.1
DO50802
49 years, male, NA, stage:2, alive, 930 days
808.9
DO23552
80 years, female, NA, stage:1, alive, 810 days
789.6
DO45219
78 years, male, NA, stage:2, alive, 1080 days
788.4
DO50799
66 years, female, NA, stage:2, alive, 540 days
784.8
DO45115
81 years, male, NA, stage:2, alive, 840 days
783.7
DO45281
83 years, male, NA, stage:4, alive, 750 days
774.7
DO23540
73 years, male, NA, stage:1, alive, 750 days
772.0
DO23521
63 years, male, NA, stage:3, alive, 1110 days
767.5
DO23539
77 years, male, NA, stage:1, alive, 1110 days
751.4
DO48757
68 years, female, NA, stage:3, alive, 480 days
747.5
DO45201
49 years, male, NA, stage:1, alive, 900 days
747.4
DO48736
76 years, female, NA, stage:1, alive, 600 days
719.0
DO45155
69 years, male, NA, stage:2, alive, 2160 days
717.8
DO45193
68 years, female, NA, stage:4, dead, 120 days
711.8
DO48701
78 years, male, NA, stage:2, alive, 780 days
709.5
DO23541
65 years, male, NA, stage:2, alive, 930 days
705.9
DO45255
81 years, male, NA, stage:3, alive, 720 days
689.4
DO23548
78 years, female, NA, stage:1, alive, 840 days
683.5
DO45243
74 years, female, NA, stage:3, alive, 930 days
671.2
DO50818
65 years, male, NA, stage:2, alive, 510 days
670.2
DO45119
74 years, male, NA, stage:3, dead, 510 days
670.0
DO50793
76 years, male, NA, stage:4, alive, 540 days
663.5
DO45265
73 years, male, NA, stage:3, alive, 1020 days
657.0
DO48751
68 years, male, NA, stage:2, dead, 480 days
656.4
DO48728
74 years, female, NA, stage:2, alive, 150 days
653.4
DO48695
77 years, male, NA, stage:2, alive, 720 days
652.6
DO48720
62 years, female, NA, stage:2, alive, 570 days
652.6
DO23542
66 years, male, NA, stage:3, alive, 960 days
651.1
DO45161
74 years, male, NA, stage:2, dead, 540 days
644.5
DO48719
80 years, male, NA, stage:2, alive, 690 days
636.7
DO50776
75 years, male, NA, stage:1, alive, 690 days
636.3
DO23517
62 years, male, NA, stage:2, alive, 1200 days
623.1
DO45253
50 years, male, NA, stage:2, alive, 870 days
612.0
DO45205
67 years, female, NA, stage:2, dead, 90 days
611.8
DO45177
81 years, female, NA, stage:3, alive, 1260 days
609.0
DO50817
75 years, male, NA, stage:2, alive, 390 days
604.2
DO45165
75 years, male, NA, stage:2, alive, 690 days
603.3
DO45225
69 years, male, NA, stage:1, alive, 1050 days
598.0
DO45221
75 years, female, NA, stage:4, dead, 390 days
597.3
DO23537
79 years, male, NA, stage:2, dead, 900 days
594.1
DO45261
74 years, male, NA, stage:3, alive, 990 days
591.8
DO48741
64 years, male, NA, stage:3, alive, 240 days
590.8
DO45135
77 years, male, NA, stage:1, alive, 1410 days
582.4
DO45197
51 years, male, NA, stage:2, alive, 1170 days
578.9
DO50813
56 years, male, NA, stage:2, alive, 420 days
571.4
DO48674
80 years, male, NA, stage:2, alive, 1260 days
568.9
DO45096
69 years, male, NA, stage:2, dead, 1290 days
560.7
DO48732
73 years, male, NA, stage:3, alive, 630 days
559.1
DO45235
68 years, female, NA, stage:1, alive, 900 days
542.8
DO45153
77 years, female, NA, stage:2, alive, 1380 days
536.6
DO45215
65 years, male, NA, stage:2, alive, 1170 days
524.6
DO45239
42 years, male, NA, stage:2, alive, 870 days
515.3
DO23510
80 years, female, NA, stage:2, alive, 870 days
509.0
DO45123
78 years, female, NA, stage:2, dead, 570 days
508.4
DO45149
70 years, female, NA, stage:2, alive, 1260 days
502.9
DO48706
72 years, male, NA, stage:2, alive, 870 days
502.1
DO45113
58 years, male, NA, stage:3, alive, 1560 days
500.8
DO45173
63 years, male, NA, stage:3, alive, 1170 days
494.2
DO48716
71 years, male, NA, stage:2, alive, 720 days
491.8
DO48704
68 years, female, NA, stage:3, alive, 750 days
490.2
DO45181
84 years, female, NA, stage:2, alive, 1200 days
488.8
DO45163
76 years, male, NA, stage:2, alive, 960 days
485.5
DO23516
69 years, male, NA, stage:3, dead, 20 days
480.4
DO48679
72 years, male, NA, stage:2, alive, 1200 days
476.6
DO50855
47 years, male, NA, stage:2, alive, 570 days
473.4
DO45207
68 years, male, NA, stage:1, alive, 1050 days
463.9
DO23513
76 years, male, NA, stage:3, alive, 1200 days
462.8
DO45257
46 years, male, NA, stage:3, alive, 810 days
462.4
DO45263
67 years, male, NA, stage:3, dead, 270 days
451.2
DO48723
73 years, male, NA, stage:1, alive, 600 days
447.6
DO23545
67 years, male, NA, stage:2, dead, 570 days
425.0
DO45097
69 years, male, NA, stage:3, alive, 1620 days
423.6
DO48697
64 years, female, NA, stage:2, dead, 810 days
419.8
DO45171
56 years, male, NA, stage:3, alive, 600 days
414.8
DO50806
70 years, male, NA, stage:4, alive, 540 days
414.8
DO45195
62 years, male, NA, stage:1, alive, 390 days
414.8
DO23536
56 years, male, NA, stage:2, alive, 930 days
413.4
DO50804
81 years, male, NA, stage:2, alive, 720 days
407.3
DO45273
62 years, male, NA, stage:2, alive, 480 days
407.0
DO45139
63 years, male, NA, stage:3, alive, 1320 days
406.0
DO23546
63 years, male, NA, stage:2, alive, 1050 days
405.2
DO48733
72 years, male, NA, stage:2, alive, 600 days
405.1
DO50809
56 years, male, NA, stage:3, dead, 720 days
396.1
DO227801
77 years, female, NA, stage:1, alive, 660 days
386.9
DO23544
67 years, male, NA, stage:2, alive, 960 days
384.3
DO50805
72 years, male, NA, stage:2, alive, 690 days
383.9
DO45125
58 years, male, NA, stage:3, alive, 1680 days
376.9
DO23524
71 years, female, NA, stage:2, alive, 1050 days
375.5
DO48725
66 years, male, NA, stage:1, alive, 780 days
375.2
DO45231
84 years, male, NA, stage:2, alive, 930 days
373.8
DO23508
79 years, female, NA, stage:2, alive, 390 days
372.4
DO45109
63 years, male, NA, stage:2, alive, 1590 days
371.7
DO50774
68 years, female, NA, stage:2, alive, 720 days
369.3
DO23515
71 years, male, NA, stage:2, alive, 1230 days
366.2
DO45099
46 years, male, NA, stage:3, alive, 1590 days
364.0
DO227643
79 years, male, NA, stage:2, alive, 1260 days
360.9
DO48743
69 years, female, NA, stage:2, alive, 570 days
360.4
DO45093
71 years, male, NA, stage:2, dead, 720 days
358.4
DO23538
67 years, male, NA, stage:2, alive, 450 days
353.3
DO48700
78 years, female, NA, stage:2, alive, 810 days
351.8
DO23529
72 years, male, NA, stage:4, alive, 930 days
349.4
DO50791
79 years, female, NA, stage:1, dead, 480 days
340.9
DO45213
58 years, male, NA, stage:1, alive, 1200 days
338.9
DO50819
72 years, female, NA, stage:2, alive, 510 days
328.7
DO23551
73 years, male, NA, stage:3, dead, 150 days
325.4
DO23518
67 years, male, NA, stage:2, alive, 1320 days
322.6
DO45199
86 years, female, NA, stage:2, alive, 1350 days
322.3
DO50803
62 years, female, NA, stage:1, alive, 540 days
322.2
DO23550
69 years, male, NA, stage:1, alive, 990 days
317.5
DO45269
59 years, male, NA, stage:3, alive, 750 days
303.5
DO50816
63 years, male, NA, stage:2, alive, 390 days
303.3
DO45107
63 years, female, NA, stage:2, alive, 1710 days
297.7
DO50822
66 years, male, NA, stage:2, alive, 510 days
297.2
DO45145
78 years, male, NA, stage:3, dead, 60 days
294.8
DO48693
71 years, male, NA, stage:2, alive, 900 days
287.7
DO48730
73 years, female, NA, stage:2, alive, 630 days
284.9
DO23512
60 years, male, NA, stage:1, alive, 1260 days
282.5
DO50789
73 years, female, NA, stage:2, alive, 570 days
276.5
DO23527
72 years, male, NA, stage:1, alive, 1050 days
275.6
DO48715
58 years, female, NA, stage:2, dead, 690 days
274.0
DO45141
73 years, male, NA, stage:2, alive, 1320 days
273.9
DO50807
67 years, male, NA, stage:1, alive, 540 days
266.4
DO50778
60 years, male, NA, stage:4, alive, 630 days
258.0
DO50798
77 years, male, NA, stage:3, dead, 30 days
255.8
DO50825
70 years, male, NA, stage:2, alive, 390 days
245.2
DO48717
54 years, male, NA, stage:4, dead, 180 days
237.6
DO50808
68 years, male, NA, stage:2, alive, 570 days
235.6
DO23533
61 years, male, NA, stage:2, alive, 900 days
234.0
DO45133
64 years, male, NA, stage:3, dead, 660 days
233.5
DO45189
85 years, female, NA, stage:2, alive, 1200 days
226.2
DO50845
72 years, male, NA, stage:3, alive, 210 days
225.1
DO48760
70 years, female, NA, stage:2, alive, 690 days
221.4
DO45203
71 years, female, NA, stage:2, alive, 1170 days
215.3
DO23532
71 years, female, NA, stage:1, alive, 960 days
210.8
DO45159
65 years, male, NA, stage:3, alive, 1470 days
210.3
DO50785
37 years, male, NA, stage:4, dead, 90 days
207.7
DO45103
47 years, male, NA, stage:3, alive, 450 days
204.9
DO45267
73 years, male, NA, stage:3, dead, 570 days
204.7
DO23543
63 years, male, NA, stage:2, alive, 1020 days
204.2
DO45237
58 years, male, NA, stage:2, alive, 900 days
188.4
DO45121
61 years, male, NA, stage:3, alive, 1530 days
187.7
DO50800
74 years, male, NA, stage:2, alive, 510 days
187.0
DO23528
45 years, female, NA, stage:2, alive, 1020 days
185.4
DO50839
47 years, female, NA, stage:3, alive, 330 days
183.9
DO45185
89 years, male, NA, stage:2, alive, 600 days
179.8
DO45157
62 years, male, NA, stage:2, alive, 1980 days
178.8
DO45241
49 years, male, NA, stage:1, alive, 1080 days
177.4
DO45095
66 years, male, NA, stage:2, alive, 1620 days
175.8
DO45167
67 years, male, NA, stage:2, dead, 1440 days
175.3
DO45092
62 years, male, NA, stage:4, dead, 1200 days
173.7
DO45279
67 years, male, NA, stage:3, alive, 1290 days
162.5
DO50829
78 years, male, NA, stage:3, alive, 570 days
162.5
DO23514
64 years, male, NA, stage:2, alive, 1290 days
161.8
DO50811
62 years, male, NA, stage:1, alive, 450 days
151.9
DO50814
83 years, male, NA, stage:3, alive, 420 days
145.2
DO45275
65 years, male, NA, stage:3, dead, 10 days
143.0
DO50815
62 years, male, NA, stage:3, alive, 150 days
131.8
DO50857
72 years, male, NA, stage:2, alive, 210 days
127.7
DO45251
57 years, female, NA, stage:2, alive, 900 days
126.3
DO50840
49 years, male, NA, stage:2, alive, 330 days
125.4
DO23525
71 years, male, NA, stage:4, alive, 1050 days
123.2
DO45094
76 years, male, NA, stage:3, alive, 1650 days
109.7
DO23530
53 years, male, NA, stage:4, dead, 180 days
107.1
DO48737
52 years, male, NA, stage:1, alive, 720 days
103.5
DO23519
65 years, male, NA, stage:3, alive, 630 days
91.7
DO23547
74 years, male, NA, stage:1, alive, 1020 days
88.3
DO45209
70 years, male, NA, stage:4, alive, 1350 days
87.8
DO23511
83 years, female, NA, stage:3, dead, 180 days
78.0
DO23549
74 years, male, NA, stage:3, alive, 990 days
77.7
DO45277
64 years, male, NA, stage:3, alive, 600 days
68.4
DO45259
65 years, male, NA, stage:3, alive, 330 days
65.7
DO45283
60 years, male, NA, stage:3, alive, 510 days
64.1
DO45297
61 years, female, NA, stage:4, dead, 1260 days
50.8
DO45245
75 years, female, NA, stage:2, dead, 240 days
50.2
DO45249
57 years, male, NA, stage:1, alive, 630 days
42.2
DO45301
56 years, male, NA, stage:2, dead, 1440 days
40.5
DO45217
69 years, female, NA, stage:3, dead, 270 days
36.9
DO45287
74 years, male, NA, stage:1, alive, 390 days
31.9
DO45183
72 years, female, NA, stage:2, dead, 570 days
26.1
DO48747
62 years, male, NA, stage:3, alive, 540 days
19.9
DO48721
58 years, female, NA, stage:1, alive, 900 days
13.7
DO45289
78 years, female, NA, stage:3, alive, 360 days
13.3
DO45305
66 years, male, NA, stage:4, alive, 300 days
10.6
DO23523
52 years, male, NA, stage:3, alive, 1080 days
9.0
DO45303
62 years, female, NA, stage:3, alive, 990 days
7.2
DO45285
59 years, male, NA, stage:3, alive, 480 days
6.9
DO45307
54 years, female, NA, stage:4, dead, 240 days
6.8
DO45091
56 years, male, NA, stage:2, dead, 1320 days
4.7
DO45299
70 years, female, NA, stage:1, alive, 1440 days
2.5
DO45127
73 years, male, NA, stage:3, dead, 420 days
2.0
DO45211
76 years, male, NA, stage:3, alive, 240 days
1.3
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
365
Tumor
1.6
627
Tumor
1.6
515
Tumor
1.3
452
Normal
1.2
615
Tumor
1.1
513
Tumor
1.0
435
Tumor
1.0
465
Tumor
1.0
392
Normal
0.9
867
Tumor
0.9
911
Tumor
0.9
746
Normal
0.9
785
Tumor
0.8
186
Normal
0.8
863
Tumor
0.8
868
Normal
0.7
864
Normal
0.7
925
Tumor
0.7
851
Tumor
0.7
926
Normal
0.7
142
Normal
0.6
858
Normal
0.6
422
Normal
0.6
563
Tumor
0.6
124
Normal
0.6
1046
Normal
0.6
421
Tumor
0.5
414
Normal
0.5
146
Normal
0.5
363
Tumor
0.5
267
Tumor
0.5
938
Normal
0.5
394
Normal
0.5
358
Normal
0.5
982
Normal
0.5
136
Normal
0.5
462
Normal
0.5
1045
Tumor
0.5
162
Normal
0.4
466
Normal
0.4
112
Tumor
0.4
222
Normal
0.4
912
Normal
0.4
1015
Tumor
0.4
111
Normal
0.4
756
Normal
0.4
742
Normal
0.4
1027
Tumor
0.4
352
Normal
0.4
952
Normal
0.4
461
Tumor
0.4
286
Normal
0.4
354
Normal
0.3
137
Tumor
0.3
873
Tumor
0.3
882
Normal
0.3
391
Tumor
0.3
1026
Normal
0.3
312
Normal
0.3
463
Tumor
0.3
342
Normal
0.3
368
Normal
0.3
376
Normal
0.3
636
Normal
0.3
432
Normal
0.3
862
Normal
0.3
436
Normal
0.3
482
Normal
0.3
428
Normal
0.3
664
Normal
0.2
224
Normal
0.2
723
Tumor
0.2
528
Normal
0.2
696
Normal
0.2
464
Normal
0.2
445
Tumor
0.2
618
Normal
0.2
786
Normal
0.2
128
Normal
0.2
148
Normal
0.2
357
Tumor
0.2
741
Tumor
0.2
648
Normal
0.2
172
Normal
0.2
472
Normal
0.2
617
Tumor
0.2
443
Tumor
0.2
1016
Normal
0.2
484
Normal
0.2
424
Normal
0.2
446
Normal
0.2
314
Normal
0.2
874
Normal
0.1
534
Normal
0.1
866
Normal
0.1
412
Normal
0.1
478
Normal
0.1
918
Normal
0.1
488
Normal
0.1
196
Normal
0.1
218
Normal
0.1
1032
Normal
0.1
332
Normal
0.1
258
Normal
0.1
526
Normal
0.1
738
Normal
0.1
221
Tumor
0.1
114
Normal
0.1
778
Normal
0.1
518
Normal
0.1
1013
Tumor
0.1
481
Tumor
0.1
1014
Normal
0.1
448
Normal
0.1
356
Normal
0.1
477
Tumor
0.0
426
Normal
0.0
231
Tumor
0.0
364
Normal
0.0
964
Normal
0.0
328
Normal
0.0
878
Normal
0.0
361
Tumor
0.0
922
Normal
0.0
777
Tumor
0.0
468
Normal
0.0
278
Normal
0.0
284
Normal
0.0
415
Tumor
0.0
444
Normal
0.0
474
Normal
0.0
298
Normal
0.0
138
Normal
0.0
824
Normal
0.0
968
Normal
0.0
494
Normal
0.0
514
Normal
0.0
714
Normal
0.0
662
Normal
0.0
212
Normal
0.0
537
Tumor
0.0
145
Tumor
0.0
672
Normal
-0.1
978
Normal
-0.1
425
Tumor
-0.1
884
Normal
-0.1
416
Normal
-0.1
132
Normal
-0.1
423
Tumor
-0.1
214
Normal
-0.1
388
Normal
-0.1
127
Tumor
-0.1
272
Normal
-0.1
185
Tumor
-0.1
958
Normal
-0.1
852
Normal
-0.1
385
Tumor
-0.1
984
Normal
-0.1
716
Normal
-0.1
188
Normal
-0.1
976
Normal
-0.1
344
Normal
-0.1
232
Normal
-0.1
755
Tumor
-0.1
913
Tumor
-0.1
572
Normal
-0.1
546
Normal
-0.1
262
Normal
-0.1
483
Tumor
-0.2
698
Normal
-0.2
574
Normal
-0.2
728
Normal
-0.2
695
Tumor
-0.2
744
Normal
-0.2
126
Normal
-0.2
366
Normal
-0.2
857
Tumor
-0.2
564
Normal
-0.2
362
Normal
-0.2
396
Normal
-0.2
915
Tumor
-0.2
451
Tumor
-0.2
538
Normal
-0.2
956
Normal
-0.2
456
Normal
-0.2
131
Tumor
-0.2
433
Tumor
-0.2
123
Tumor
-0.2
554
Normal
-0.2
434
Normal
-0.2
666
Normal
-0.2
192
Normal
-0.2
914
Normal
-0.2
818
Normal
-0.2
924
Normal
-0.3
1025
Tumor
-0.3
384
Normal
-0.3
816
Normal
-0.3
187
Tumor
-0.3
628
Normal
-0.3
568
Normal
-0.3
635
Tumor
-0.3
268
Normal
-0.3
921
Tumor
-0.3
616
Normal
-0.3
944
Normal
-0.3
473
Tumor
-0.3
883
Tumor
-0.3
228
Normal
-0.3
487
Tumor
-0.4
411
Tumor
-0.4
642
Normal
-0.4
665
Tumor
-0.4
195
Tumor
-0.4
493
Tumor
-0.4
191
Tumor
-0.4
271
Tumor
-0.4
431
Tumor
-0.4
1042
Normal
-0.4
227
Tumor
-0.4
223
Tumor
-0.4
558
Normal
-0.4
261
Tumor
-0.4
113
Tumor
-0.4
257
Tumor
-0.4
492
Normal
-0.4
386
Normal
-0.4
135
Tumor
-0.4
977
Tumor
-0.5
953
Tumor
-0.5
963
Tumor
-0.5
881
Tumor
-0.5
524
Normal
-0.5
147
Tumor
-0.5
217
Tumor
-0.5
686
Normal
-0.5
498
Normal
-0.5
966
Normal
-0.5
455
Tumor
-0.5
327
Tumor
-0.5
516
Normal
-0.5
171
Tumor
-0.5
954
Normal
-0.5
297
Tumor
-0.5
525
Tumor
-0.5
1044
Normal
-0.5
1022
Normal
-0.5
536
Normal
-0.5
737
Tumor
-0.6
1031
Tumor
-0.6
722
Normal
-0.6
916
Normal
-0.6
715
Tumor
-0.6
471
Tumor
-0.6
955
Tumor
-0.6
567
Tumor
-0.6
813
Tumor
-0.6
975
Tumor
-0.6
553
Tumor
-0.6
1028
Normal
-0.7
353
Tumor
-0.7
865
Tumor
-0.7
685
Tumor
-0.7
814
Normal
-0.7
527
Tumor
-0.7
861
Tumor
-0.7
641
Tumor
-0.7
1021
Tumor
-0.7
313
Tumor
-0.8
727
Tumor
-0.8
277
Tumor
-0.8
663
Tumor
-0.8
141
Tumor
-0.8
161
Tumor
-0.8
393
Tumor
-0.8
815
Tumor
-0.9
647
Tumor
-0.9
1041
Tumor
-0.9
533
Tumor
-0.9
535
Tumor
-0.9
983
Tumor
-0.9
523
Tumor
-0.9
571
Tumor
-1.0
943
Tumor
-1.0
367
Tumor
-1.0
497
Tumor
-1.0
923
Tumor
-1.0
285
Tumor
-1.0
721
Tumor
-1.0
823
Tumor
-1.0
817
Tumor
-1.0
413
Tumor
-1.1
745
Tumor
-1.1
557
Tumor
-1.1
383
Tumor
-1.1
427
Tumor
-1.1
965
Tumor
-1.1
447
Tumor
-1.1
937
Tumor
-1.1
355
Tumor
-1.2
517
Tumor
-1.2
545
Tumor
-1.2
125
Tumor
-1.2
917
Tumor
-1.2
957
Tumor
-1.3
713
Tumor
-1.3
467
Tumor
-1.3
951
Tumor
-1.3
283
Tumor
-1.3
311
Tumor
-1.4
724
Normal
-1.4
661
Tumor
-1.4
491
Tumor
-1.4
375
Tumor
-1.4
213
Tumor
-1.5
331
Tumor
-1.5
573
Tumor
-1.5
877
Tumor
-1.5
343
Tumor
-1.6
395
Tumor
-1.6
1043
Tumor
-1.7
981
Tumor
-1.7
743
Tumor
-1.8
967
Tumor
-1.9
341
Tumor
-1.9
387
Tumor
-1.9
211
Tumor
-2.0
351
Tumor
-2.2
671
Tumor
-2.4
697
Tumor
-2.4
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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
