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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.
UGT2B4 is not prognostic in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
530.5
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
2919.2
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
2913.3
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
2602.6
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
2345.0
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
2292.9
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
2239.3
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
2160.0
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
2085.1
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
2006.8
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
1903.4
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1876.5
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1869.7
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
1808.5
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1738.1
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1633.5
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1621.5
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
1619.8
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1596.1
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
1590.7
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1577.3
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
1574.5
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
1524.3
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1521.9
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
1488.7
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1461.7
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1440.6
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1415.4
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1346.5
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
1327.7
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
1321.5
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
1289.9
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1265.6
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
1235.9
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
1220.6
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1171.3
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
1170.2
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
1155.2
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1140.7
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
1139.8
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1118.1
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1117.2
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
1108.0
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
1105.6
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1102.8
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1093.4
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
1088.2
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1086.4
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
1081.2
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1076.6
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1071.5
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
1063.4
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
1060.0
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
1047.6
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
1041.0
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1010.4
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
997.8
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
994.1
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
983.4
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
972.7
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
968.3
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
959.1
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
941.1
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
935.2
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
919.4
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
918.2
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
913.9
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
910.9
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
881.7
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
881.1
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
872.9
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
868.7
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
865.7
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
857.9
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
853.0
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
846.6
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
823.8
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
823.6
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
823.4
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
817.8
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
805.3
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
804.9
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
802.5
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
802.0
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
795.9
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
782.0
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
758.7
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
753.8
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
737.9
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
737.2
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
729.1
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
711.0
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
697.8
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
691.4
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
690.6
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
685.6
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
682.3
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
680.6
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
677.8
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
664.0
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
661.1
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
636.4
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
628.7
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
619.5
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
611.8
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
607.6
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
595.6
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
591.7
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
590.2
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
589.3
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
588.2
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
586.9
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
583.7
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
580.2
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
577.5
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
572.5
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
572.0
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
566.6
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
563.9
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
542.6
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
537.3
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
534.9
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
533.9
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
531.8
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
528.2
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
526.7
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
509.0
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
508.7
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
502.1
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
498.9
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
494.9
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
494.7
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
494.0
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
491.2
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
487.8
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
481.6
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
479.2
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
467.4
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
466.9
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
461.8
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
461.7
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
456.0
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
454.2
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
453.5
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
452.5
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
452.1
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
442.8
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
441.1
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
435.4
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
430.2
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
426.2
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
425.1
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
425.0
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
423.8
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
421.8
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
421.2
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
419.4
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
418.3
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
417.8
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
414.3
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
411.1
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
411.1
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
409.0
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
404.6
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
400.5
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
394.5
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
393.8
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
392.2
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
390.6
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
389.0
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
388.2
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
378.4
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
377.7
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
376.2
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
375.8
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
373.2
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
369.9
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
369.6
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
369.4
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
369.3
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
368.0
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
367.2
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
365.1
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
363.7
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
363.1
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
362.3
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
358.4
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
357.5
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
354.7
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
353.2
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
347.3
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
345.9
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
345.5
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
345.3
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
343.9
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
342.7
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
339.0
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
338.9
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
335.2
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
334.6
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
331.4
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
328.5
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
328.1
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
325.8
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
325.2
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
325.1
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
321.7
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
319.1
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
318.6
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
318.2
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
310.1
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
309.5
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
298.8
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
292.5
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
292.5
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
290.8
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
288.1
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
286.8
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
286.7
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
285.3
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
283.3
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
280.4
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
278.7
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
278.4
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
277.6
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
276.8
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
274.3
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
274.1
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
273.1
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
273.1
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
267.2
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
263.0
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
260.6
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
260.4
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
259.3
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
253.1
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
252.6
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
252.3
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
250.5
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
249.8
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
248.1
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
247.2
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
247.1
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
246.1
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
244.5
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
244.4
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
239.3
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
236.6
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
236.0
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
235.6
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
231.9
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
229.7
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
225.3
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
221.4
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
221.2
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
218.1
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
208.7
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
207.9
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
207.7
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
207.7
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
206.9
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
206.9
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
205.8
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
205.5
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
203.0
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
202.1
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
199.4
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
197.3
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
195.8
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
195.8
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
194.1
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
193.5
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
193.3
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
192.7
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
192.0
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
190.6
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
189.1
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
186.2
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
181.4
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
180.1
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
179.4
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
177.1
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
176.7
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
174.3
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
172.4
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
172.0
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
169.4
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
168.0
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
166.4
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
164.5
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
158.5
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
157.0
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
156.4
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
156.1
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
153.3
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
151.9
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
146.3
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
142.3
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
141.9
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
137.7
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
134.2
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
133.5
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
133.5
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
131.1
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
130.7
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
128.7
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
127.2
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
126.9
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
125.0
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
119.5
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
117.9
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
117.2
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
115.8
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
115.2
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
111.4
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
108.5
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
102.3
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
101.6
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
98.0
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
96.3
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
90.3
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
89.2
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
85.3
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
83.6
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
83.3
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
81.9
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
81.9
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
80.6
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
80.3
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
80.3
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
79.8
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
78.5
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
77.0
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
73.6
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
72.2
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
67.9
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
65.2
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
62.9
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
62.1
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
51.9
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
44.5
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
40.6
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
40.5
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
39.3
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
32.6
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
31.8
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
22.6
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
21.2
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
17.4
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
11.4
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
6.4
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
6.3
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
5.6
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
5.3
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
3.4
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
2.2
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1.9
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
1.7
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
1.4
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
1.3
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
0.9
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
0.6
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 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.
UGT2B4 is not prognostic in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
1039.0
Number of samples
231
Samples
Sample
Description
pTPM
DO45123
78 years, female, NA, stage:2, dead, 570 days
5119.5
DO48761
55 years, male, NA, stage:2, alive, 870 days
4572.1
DO23541
65 years, male, NA, stage:2, alive, 930 days
4178.2
DO48695
77 years, male, NA, stage:2, alive, 720 days
3926.3
DO50822
66 years, male, NA, stage:2, alive, 510 days
3506.8
DO45163
76 years, male, NA, stage:2, alive, 960 days
3418.0
DO45175
74 years, male, NA, stage:2, alive, 1140 days
3216.6
DO45235
68 years, female, NA, stage:1, alive, 900 days
3164.5
DO45094
76 years, male, NA, stage:3, alive, 1650 days
3162.9
DO45093
71 years, male, NA, stage:2, dead, 720 days
2888.0
DO45143
69 years, male, NA, stage:3, alive, 1290 days
2818.6
DO48682
72 years, female, NA, stage:3, dead, 120 days
2673.3
DO50804
81 years, male, NA, stage:2, alive, 720 days
2662.8
DO23508
79 years, female, NA, stage:2, alive, 390 days
2661.9
DO48757
68 years, female, NA, stage:3, alive, 480 days
2653.1
DO45167
67 years, male, NA, stage:2, dead, 1440 days
2600.4
DO45253
50 years, male, NA, stage:2, alive, 870 days
2598.4
DO48732
73 years, male, NA, stage:3, alive, 630 days
2583.9
DO23542
66 years, male, NA, stage:3, alive, 960 days
2530.8
DO45113
58 years, male, NA, stage:3, alive, 1560 days
2529.4
DO45096
69 years, male, NA, stage:2, dead, 1290 days
2522.0
DO23509
60 years, male, NA, stage:3, dead, 780 days
2517.5
DO45137
38 years, male, NA, stage:1, alive, 1320 days
2430.1
DO48700
78 years, female, NA, stage:2, alive, 810 days
2411.1
DO48751
68 years, male, NA, stage:2, dead, 480 days
2404.8
DO23540
73 years, male, NA, stage:1, alive, 750 days
2365.9
DO45135
77 years, male, NA, stage:1, alive, 1410 days
2298.3
DO50808
68 years, male, NA, stage:2, alive, 570 days
2234.0
DO48704
68 years, female, NA, stage:3, alive, 750 days
2228.3
DO45117
73 years, female, NA, stage:2, dead, 1110 days
2223.6
DO45275
65 years, male, NA, stage:3, dead, 10 days
2206.5
DO48742
76 years, male, NA, stage:2, alive, 600 days
2134.6
DO50850
74 years, male, NA, stage:3, alive, 720 days
2130.7
DO45099
46 years, male, NA, stage:3, alive, 1590 days
2072.3
DO48672
81 years, male, NA, stage:2, alive, 450 days
2048.7
DO50774
68 years, female, NA, stage:2, alive, 720 days
2041.2
DO48716
71 years, male, NA, stage:2, alive, 720 days
2039.1
DO45133
64 years, male, NA, stage:3, dead, 660 days
2028.7
DO45221
75 years, female, NA, stage:4, dead, 390 days
2020.4
DO45281
83 years, male, NA, stage:4, alive, 750 days
2020.2
DO45169
74 years, male, NA, stage:3, alive, 1350 days
1994.0
DO45171
56 years, male, NA, stage:3, alive, 600 days
1990.2
DO50840
49 years, male, NA, stage:2, alive, 330 days
1941.8
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1856.0
DO45129
61 years, male, NA, stage:3, alive, 1470 days
1841.8
DO48723
73 years, male, NA, stage:1, alive, 600 days
1688.4
DO45233
83 years, male, NA, stage:3, alive, 900 days
1653.8
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1652.9
DO23510
80 years, female, NA, stage:2, alive, 870 days
1646.7
DO50799
66 years, female, NA, stage:2, alive, 540 days
1595.9
DO48736
76 years, female, NA, stage:1, alive, 600 days
1564.4
DO50791
79 years, female, NA, stage:1, dead, 480 days
1513.2
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1512.1
DO23518
67 years, male, NA, stage:2, alive, 1320 days
1505.8
DO227801
77 years, female, NA, stage:1, alive, 660 days
1500.8
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1477.3
DO45105
61 years, male, NA, stage:1, alive, 1680 days
1470.1
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1436.2
DO45227
57 years, female, NA, stage:2, alive, 1020 days
1413.5
DO50783
62 years, male, NA, stage:3, alive, 480 days
1412.8
DO50857
72 years, male, NA, stage:2, alive, 210 days
1370.5
DO50798
77 years, male, NA, stage:3, dead, 30 days
1362.6
DO23550
69 years, male, NA, stage:1, alive, 990 days
1348.4
DO45097
69 years, male, NA, stage:3, alive, 1620 days
1347.5
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1344.9
DO23533
61 years, male, NA, stage:2, alive, 900 days
1327.8
DO50805
72 years, male, NA, stage:2, alive, 690 days
1320.0
DO50802
49 years, male, NA, stage:2, alive, 930 days
1296.8
DO23511
83 years, female, NA, stage:3, dead, 180 days
1291.4
DO50811
62 years, male, NA, stage:1, alive, 450 days
1282.7
DO45149
70 years, female, NA, stage:2, alive, 1260 days
1251.7
DO23548
78 years, female, NA, stage:1, alive, 840 days
1225.0
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1208.0
DO48759
73 years, male, NA, stage:3, alive, 720 days
1199.1
DO50793
76 years, male, NA, stage:4, alive, 540 days
1198.1
DO50859
77 years, male, NA, stage:2, alive, 180 days
1183.8
DO23543
63 years, male, NA, stage:2, alive, 1020 days
1178.4
DO45101
63 years, male, NA, stage:2, alive, 1680 days
1176.8
DO50845
72 years, male, NA, stage:3, alive, 210 days
1142.7
DO45119
74 years, male, NA, stage:3, dead, 510 days
1136.8
DO45109
63 years, male, NA, stage:2, alive, 1590 days
1101.7
DO23516
69 years, male, NA, stage:3, dead, 20 days
1089.9
DO23519
65 years, male, NA, stage:3, alive, 630 days
1079.3
DO23546
63 years, male, NA, stage:2, alive, 1050 days
1077.6
DO50787
63 years, male, NA, stage:3, alive, 480 days
1033.4
DO45243
74 years, female, NA, stage:3, alive, 930 days
1022.2
DO23527
72 years, male, NA, stage:1, alive, 1050 days
1009.8
DO45239
42 years, male, NA, stage:2, alive, 870 days
1003.2
DO48728
74 years, female, NA, stage:2, alive, 150 days
992.3
DO50803
62 years, female, NA, stage:1, alive, 540 days
991.4
DO48721
58 years, female, NA, stage:1, alive, 900 days
984.8
DO50816
63 years, male, NA, stage:2, alive, 390 days
984.1
DO48730
73 years, female, NA, stage:2, alive, 630 days
965.9
DO48677
58 years, male, NA, stage:3, alive, 1140 days
960.6
DO50776
75 years, male, NA, stage:1, alive, 690 days
957.1
DO23545
67 years, male, NA, stage:2, dead, 570 days
956.4
DO45237
58 years, male, NA, stage:2, alive, 900 days
940.5
DO45121
61 years, male, NA, stage:3, alive, 1530 days
926.0
DO48725
66 years, male, NA, stage:1, alive, 780 days
923.4
DO45203
71 years, female, NA, stage:2, alive, 1170 days
921.2
DO45223
67 years, male, NA, stage:4, alive, 1020 days
905.5
DO23538
67 years, male, NA, stage:2, alive, 450 days
904.9
DO48727
81 years, female, NA, stage:2, dead, 390 days
896.0
DO50825
70 years, male, NA, stage:2, alive, 390 days
866.3
DO48760
70 years, female, NA, stage:2, alive, 690 days
828.8
DO45229
74 years, male, NA, stage:1, alive, 990 days
826.7
DO50807
67 years, male, NA, stage:1, alive, 540 days
826.1
DO45165
75 years, male, NA, stage:2, alive, 690 days
819.3
DO45219
78 years, male, NA, stage:2, alive, 1080 days
819.0
DO23524
71 years, female, NA, stage:2, alive, 1050 days
812.4
DO50829
78 years, male, NA, stage:3, alive, 570 days
810.4
DO45159
65 years, male, NA, stage:3, alive, 1470 days
804.0
DO45201
49 years, male, NA, stage:1, alive, 900 days
801.0
DO23552
80 years, female, NA, stage:1, alive, 810 days
798.3
DO45115
81 years, male, NA, stage:2, alive, 840 days
795.7
DO45215
65 years, male, NA, stage:2, alive, 1170 days
782.3
DO45197
51 years, male, NA, stage:2, alive, 1170 days
778.1
DO45247
31 years, female, NA, stage:2, alive, 210 days
768.5
DO50789
73 years, female, NA, stage:2, alive, 570 days
763.5
DO45199
86 years, female, NA, stage:2, alive, 1350 days
747.6
DO45107
63 years, female, NA, stage:2, alive, 1710 days
734.4
DO48746
76 years, male, NA, stage:3, alive, 570 days
730.9
DO23521
63 years, male, NA, stage:3, alive, 1110 days
719.0
DO23517
62 years, male, NA, stage:2, alive, 1200 days
713.4
DO48743
69 years, female, NA, stage:2, alive, 570 days
702.6
DO45255
81 years, male, NA, stage:3, alive, 720 days
700.8
DO23535
67 years, male, NA, stage:1, alive, 960 days
698.9
DO23528
45 years, female, NA, stage:2, alive, 1020 days
686.7
DO45263
67 years, male, NA, stage:3, dead, 270 days
682.7
DO23525
71 years, male, NA, stage:4, alive, 1050 days
656.0
DO23531
78 years, female, NA, stage:3, alive, 900 days
649.7
DO45153
77 years, female, NA, stage:2, alive, 1380 days
644.2
DO50778
60 years, male, NA, stage:4, alive, 630 days
637.3
DO48717
54 years, male, NA, stage:4, dead, 180 days
631.5
DO48679
72 years, male, NA, stage:2, alive, 1200 days
626.1
DO45161
74 years, male, NA, stage:2, dead, 540 days
617.5
DO227643
79 years, male, NA, stage:2, alive, 1260 days
612.5
DO45091
56 years, male, NA, stage:2, dead, 1320 days
606.7
DO45269
59 years, male, NA, stage:3, alive, 750 days
604.0
DO23536
56 years, male, NA, stage:2, alive, 930 days
602.8
DO45213
58 years, male, NA, stage:1, alive, 1200 days
588.4
DO23534
60 years, male, NA, stage:2, alive, 840 days
586.7
DO48701
78 years, male, NA, stage:2, alive, 780 days
584.9
DO45273
62 years, male, NA, stage:2, alive, 480 days
581.9
DO48715
58 years, female, NA, stage:2, dead, 690 days
580.6
DO45095
66 years, male, NA, stage:2, alive, 1620 days
572.1
DO50818
65 years, male, NA, stage:2, alive, 510 days
565.9
DO45241
49 years, male, NA, stage:1, alive, 1080 days
553.0
DO45191
61 years, female, NA, stage:2, alive, 1200 days
537.0
DO23513
76 years, male, NA, stage:3, alive, 1200 days
529.0
DO45257
46 years, male, NA, stage:3, alive, 810 days
527.4
DO50809
56 years, male, NA, stage:3, dead, 720 days
520.9
DO50785
37 years, male, NA, stage:4, dead, 90 days
513.4
DO45181
84 years, female, NA, stage:2, alive, 1200 days
511.3
DO48741
64 years, male, NA, stage:3, alive, 240 days
500.1
DO50806
70 years, male, NA, stage:4, alive, 540 days
495.8
DO23512
60 years, male, NA, stage:1, alive, 1260 days
491.7
DO50813
56 years, male, NA, stage:2, alive, 420 days
480.2
DO45125
58 years, male, NA, stage:3, alive, 1680 days
477.9
DO50814
83 years, male, NA, stage:3, alive, 420 days
471.6
DO45195
62 years, male, NA, stage:1, alive, 390 days
458.1
DO48712
50 years, male, NA, stage:2, alive, 810 days
453.0
DO45179
78 years, female, NA, stage:2, alive, 600 days
451.3
DO48706
72 years, male, NA, stage:2, alive, 870 days
444.9
DO48720
62 years, female, NA, stage:2, alive, 570 days
436.3
DO45205
67 years, female, NA, stage:2, dead, 90 days
433.5
DO45207
68 years, male, NA, stage:1, alive, 1050 days
422.7
DO45261
74 years, male, NA, stage:3, alive, 990 days
420.2
DO48674
80 years, male, NA, stage:2, alive, 1260 days
414.3
DO45231
84 years, male, NA, stage:2, alive, 930 days
411.8
DO45187
32 years, female, NA, stage:1, alive, 1260 days
389.6
DO45183
72 years, female, NA, stage:2, dead, 570 days
377.6
DO50839
47 years, female, NA, stage:3, alive, 330 days
374.9
DO23532
71 years, female, NA, stage:1, alive, 960 days
371.3
DO50855
47 years, male, NA, stage:2, alive, 570 days
357.0
DO23544
67 years, male, NA, stage:2, alive, 960 days
355.8
DO45173
63 years, male, NA, stage:3, alive, 1170 days
355.1
DO45103
47 years, male, NA, stage:3, alive, 450 days
340.9
DO48733
72 years, male, NA, stage:2, alive, 600 days
335.2
DO50817
75 years, male, NA, stage:2, alive, 390 days
322.3
DO45267
73 years, male, NA, stage:3, dead, 570 days
321.2
DO48719
80 years, male, NA, stage:2, alive, 690 days
318.9
DO50820
77 years, female, NA, stage:3, alive, 510 days
308.0
DO48681
57 years, male, NA, stage:2, alive, 900 days
299.0
DO23529
72 years, male, NA, stage:4, alive, 930 days
293.5
DO45127
73 years, male, NA, stage:3, dead, 420 days
285.7
DO50844
75 years, male, NA, stage:4, alive, 300 days
284.3
DO50800
74 years, male, NA, stage:2, alive, 510 days
282.8
DO23551
73 years, male, NA, stage:3, dead, 150 days
265.2
DO48693
71 years, male, NA, stage:2, alive, 900 days
242.0
DO23514
64 years, male, NA, stage:2, alive, 1290 days
239.6
DO23549
74 years, male, NA, stage:3, alive, 990 days
228.6
DO23547
74 years, male, NA, stage:1, alive, 1020 days
225.7
DO48697
64 years, female, NA, stage:2, dead, 810 days
209.2
DO45185
89 years, male, NA, stage:2, alive, 600 days
202.0
DO45265
73 years, male, NA, stage:3, alive, 1020 days
200.7
DO45111
74 years, male, NA, stage:2, alive, 1590 days
191.7
DO50832
73 years, male, NA, stage:3, alive, 90 days
191.0
DO23515
71 years, male, NA, stage:2, alive, 1230 days
177.6
DO45131
53 years, male, NA, stage:4, dead, 360 days
171.0
DO45217
69 years, female, NA, stage:3, dead, 270 days
145.4
DO23526
66 years, male, NA, stage:3, alive, 1050 days
127.3
DO23530
53 years, male, NA, stage:4, dead, 180 days
121.8
DO45193
68 years, female, NA, stage:4, dead, 120 days
112.3
DO45209
70 years, male, NA, stage:4, alive, 1350 days
111.8
DO48737
52 years, male, NA, stage:1, alive, 720 days
91.0
DO50819
72 years, female, NA, stage:2, alive, 510 days
88.7
DO45155
69 years, male, NA, stage:2, alive, 2160 days
81.5
DO45251
57 years, female, NA, stage:2, alive, 900 days
62.4
DO23537
79 years, male, NA, stage:2, dead, 900 days
57.9
DO50815
62 years, male, NA, stage:3, alive, 150 days
56.2
DO45259
65 years, male, NA, stage:3, alive, 330 days
40.6
DO45249
57 years, male, NA, stage:1, alive, 630 days
39.0
DO48747
62 years, male, NA, stage:3, alive, 540 days
29.5
DO45287
74 years, male, NA, stage:1, alive, 390 days
23.2
DO45301
56 years, male, NA, stage:2, dead, 1440 days
14.4
DO45305
66 years, male, NA, stage:4, alive, 300 days
12.4
DO45283
60 years, male, NA, stage:3, alive, 510 days
9.0
DO45145
78 years, male, NA, stage:3, dead, 60 days
7.3
DO45289
78 years, female, NA, stage:3, alive, 360 days
2.3
DO45279
67 years, male, NA, stage:3, alive, 1290 days
1.9
DO45303
62 years, female, NA, stage:3, alive, 990 days
1.4
DO45277
64 years, male, NA, stage:3, alive, 600 days
1.3
DO45189
85 years, female, NA, stage:2, alive, 1200 days
1.3
DO45285
59 years, male, NA, stage:3, alive, 480 days
1.2
DO23523
52 years, male, NA, stage:3, alive, 1080 days
0.7
DO45245
75 years, female, NA, stage:2, dead, 240 days
0.7
DO45299
70 years, female, NA, stage:1, alive, 1440 days
0.2
DO45297
61 years, female, NA, stage:4, dead, 1260 days
0.2
DO45307
54 years, female, NA, stage:4, dead, 240 days
0.1
DO45211
76 years, male, NA, stage:3, alive, 240 days
0.1
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
742
Normal
1.1
481
Tumor
1.0
132
Normal
1.0
128
Normal
1.0
648
Normal
1.0
314
Normal
1.0
172
Normal
0.9
353
Tumor
0.9
414
Normal
0.9
436
Normal
0.9
358
Normal
0.9
723
Tumor
0.9
272
Normal
0.8
258
Normal
0.8
424
Normal
0.8
278
Normal
0.8
568
Normal
0.8
111
Normal
0.8
422
Normal
0.8
824
Normal
0.8
616
Normal
0.8
196
Normal
0.8
362
Normal
0.8
435
Tumor
0.8
466
Normal
0.8
114
Normal
0.8
428
Normal
0.8
482
Normal
0.8
298
Normal
0.8
354
Normal
0.8
342
Normal
0.8
426
Normal
0.8
464
Normal
0.7
222
Normal
0.7
212
Normal
0.7
162
Normal
0.7
366
Normal
0.7
618
Normal
0.7
462
Normal
0.7
452
Normal
0.7
376
Normal
0.7
862
Normal
0.7
878
Normal
0.7
786
Normal
0.7
1046
Normal
0.7
572
Normal
0.7
214
Normal
0.7
446
Normal
0.7
911
Tumor
0.7
938
Normal
0.7
864
Normal
0.7
356
Normal
0.7
262
Normal
0.7
636
Normal
0.6
1022
Normal
0.6
628
Normal
0.6
186
Normal
0.6
312
Normal
0.6
148
Normal
0.6
738
Normal
0.6
698
Normal
0.6
388
Normal
0.6
432
Normal
0.6
666
Normal
0.6
914
Normal
0.6
137
Tumor
0.6
138
Normal
0.6
564
Normal
0.6
394
Normal
0.6
882
Normal
0.5
955
Tumor
0.5
1016
Normal
0.5
976
Normal
0.5
456
Normal
0.5
257
Tumor
0.5
574
Normal
0.5
664
Normal
0.5
884
Normal
0.5
662
Normal
0.5
284
Normal
0.5
286
Normal
0.5
913
Tumor
0.5
136
Normal
0.5
445
Tumor
0.5
145
Tumor
0.5
546
Normal
0.5
714
Normal
0.5
146
Normal
0.5
944
Normal
0.5
472
Normal
0.5
858
Normal
0.5
126
Normal
0.5
267
Tumor
0.4
728
Normal
0.4
1032
Normal
0.4
816
Normal
0.4
746
Normal
0.4
857
Tumor
0.4
874
Normal
0.4
982
Normal
0.4
396
Normal
0.4
484
Normal
0.4
494
Normal
0.4
868
Normal
0.4
423
Tumor
0.4
642
Normal
0.4
964
Normal
0.4
866
Normal
0.4
818
Normal
0.4
514
Normal
0.4
332
Normal
0.4
232
Normal
0.4
1044
Normal
0.4
518
Normal
0.4
922
Normal
0.4
918
Normal
0.4
364
Normal
0.4
1026
Normal
0.4
534
Normal
0.4
113
Tumor
0.4
926
Normal
0.4
412
Normal
0.4
526
Normal
0.3
416
Normal
0.3
468
Normal
0.3
474
Normal
0.3
142
Normal
0.3
744
Normal
0.3
188
Normal
0.3
956
Normal
0.3
228
Normal
0.3
392
Normal
0.3
448
Normal
0.3
617
Tumor
0.3
1014
Normal
0.3
686
Normal
0.3
912
Normal
0.3
852
Normal
0.3
558
Normal
0.2
368
Normal
0.2
161
Tumor
0.2
722
Normal
0.2
488
Normal
0.2
352
Normal
0.2
756
Normal
0.2
384
Normal
0.2
1028
Normal
0.2
716
Normal
0.2
328
Normal
0.2
434
Normal
0.1
647
Tumor
0.1
968
Normal
0.1
528
Normal
0.1
1042
Normal
0.1
978
Normal
0.1
386
Normal
0.1
952
Normal
0.1
444
Normal
0.1
268
Normal
0.1
696
Normal
0.1
191
Tumor
0.1
916
Normal
0.1
672
Normal
0.0
192
Normal
0.0
224
Normal
0.0
427
Tumor
0.0
124
Normal
0.0
966
Normal
0.0
954
Normal
0.0
924
Normal
-0.1
867
Tumor
-0.1
755
Tumor
-0.1
344
Normal
-0.1
721
Tumor
-0.1
478
Normal
-0.1
361
Tumor
-0.1
984
Normal
-0.1
516
Normal
-0.2
958
Normal
-0.2
571
Tumor
-0.2
218
Normal
-0.2
341
Tumor
-0.2
187
Tumor
-0.2
112
Tumor
-0.2
261
Tumor
-0.2
415
Tumor
-0.2
741
Tumor
-0.3
554
Normal
-0.3
1045
Tumor
-0.3
141
Tumor
-0.3
915
Tumor
-0.4
492
Normal
-0.4
147
Tumor
-0.4
865
Tumor
-0.4
778
Normal
-0.4
615
Tumor
-0.4
873
Tumor
-0.4
1041
Tumor
-0.4
498
Normal
-0.4
421
Tumor
-0.5
127
Tumor
-0.5
365
Tumor
-0.5
563
Tumor
-0.5
433
Tumor
-0.5
327
Tumor
-0.5
663
Tumor
-0.5
863
Tumor
-0.5
727
Tumor
-0.5
477
Tumor
-0.5
538
Normal
-0.5
443
Tumor
-0.6
195
Tumor
-0.6
223
Tumor
-0.6
473
Tumor
-0.6
465
Tumor
-0.6
487
Tumor
-0.7
357
Tumor
-0.7
981
Tumor
-0.7
135
Tumor
-0.7
567
Tumor
-0.7
1027
Tumor
-0.7
185
Tumor
-0.7
861
Tumor
-0.7
461
Tumor
-0.8
375
Tumor
-0.8
217
Tumor
-0.8
533
Tumor
-0.8
355
Tumor
-0.8
524
Normal
-0.8
431
Tumor
-0.8
745
Tumor
-0.9
525
Tumor
-0.9
123
Tumor
-0.9
383
Tumor
-0.9
627
Tumor
-0.9
313
Tumor
-0.9
963
Tumor
-0.9
925
Tumor
-1.0
823
Tumor
-1.0
363
Tumor
-1.0
785
Tumor
-1.0
483
Tumor
-1.0
883
Tumor
-1.0
777
Tumor
-1.0
713
Tumor
-1.1
171
Tumor
-1.1
393
Tumor
-1.1
1013
Tumor
-1.1
297
Tumor
-1.1
411
Tumor
-1.1
814
Normal
-1.1
447
Tumor
-1.1
1015
Tumor
-1.2
536
Normal
-1.2
977
Tumor
-1.2
557
Tumor
-1.2
943
Tumor
-1.2
277
Tumor
-1.2
635
Tumor
-1.2
213
Tumor
-1.2
923
Tumor
-1.2
641
Tumor
-1.2
515
Tumor
-1.3
413
Tumor
-1.3
573
Tumor
-1.3
1043
Tumor
-1.3
695
Tumor
-1.4
1025
Tumor
-1.4
851
Tumor
-1.4
953
Tumor
-1.4
1021
Tumor
-1.4
881
Tumor
-1.4
451
Tumor
-1.4
125
Tumor
-1.5
471
Tumor
-1.5
917
Tumor
-1.5
493
Tumor
-1.5
463
Tumor
-1.5
467
Tumor
-1.5
527
Tumor
-1.5
491
Tumor
-1.6
395
Tumor
-1.6
387
Tumor
-1.6
813
Tumor
-1.6
537
Tumor
-1.6
227
Tumor
-1.6
517
Tumor
-1.6
523
Tumor
-1.6
513
Tumor
-1.6
391
Tumor
-1.7
343
Tumor
-1.7
271
Tumor
-1.7
231
Tumor
-1.7
737
Tumor
-1.7
877
Tumor
-1.8
975
Tumor
-1.8
311
Tumor
-1.8
425
Tumor
-1.8
937
Tumor
-1.8
455
Tumor
-1.8
351
Tumor
-1.8
331
Tumor
-1.9
665
Tumor
-1.9
283
Tumor
-2.0
367
Tumor
-2.0
221
Tumor
-2.0
815
Tumor
-2.1
724
Normal
-2.1
671
Tumor
-2.1
131
Tumor
-2.1
285
Tumor
-2.2
1031
Tumor
-2.2
951
Tumor
-2.2
697
Tumor
-2.2
817
Tumor
-2.2
715
Tumor
-2.3
497
Tumor
-2.3
661
Tumor
-2.3
965
Tumor
-2.3
211
Tumor
-2.4
957
Tumor
-2.4
921
Tumor
-2.4
983
Tumor
-2.4
535
Tumor
-2.5
967
Tumor
-2.5
685
Tumor
-2.5
743
Tumor
-2.6
385
Tumor
-2.7
553
Tumor
-2.8
545
Tumor
-2.8
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.