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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.
TXN 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
515.2
Number of samples
362
Samples
Sample
Description
TPM
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
3698.9
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
2266.5
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
1573.5
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1478.5
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1430.8
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1393.5
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1349.0
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1279.1
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
1262.9
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1260.4
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
1255.9
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1254.8
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1234.6
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
1188.0
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
1165.3
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1158.8
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1150.6
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1147.3
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1119.4
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
1097.3
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
1090.6
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1089.9
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1082.6
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1072.7
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
1063.5
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1056.0
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1049.3
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
1036.6
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
1022.5
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1020.6
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
1019.8
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
953.2
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
952.1
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
939.7
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
933.3
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
929.4
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
928.5
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
898.7
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
898.3
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
890.4
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
888.1
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
886.6
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
881.0
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
875.1
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
874.2
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
868.5
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
847.9
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
834.1
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
821.0
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
814.9
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
808.3
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
794.3
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
790.6
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
782.2
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
781.0
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
779.2
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
776.5
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
774.0
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
766.6
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
761.4
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
757.8
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
755.7
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
753.1
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
750.6
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
744.3
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
740.5
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
739.1
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
738.3
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
736.8
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
734.3
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
730.8
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
727.9
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
724.9
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
722.2
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
721.6
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
720.5
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
717.7
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
717.0
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
717.0
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
712.0
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
710.4
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
708.5
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
702.0
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
700.6
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
697.9
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
696.8
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
696.4
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
696.0
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
694.9
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
686.4
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
679.0
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
670.0
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
668.7
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
660.0
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
648.9
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
645.6
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
636.0
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
633.1
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
629.2
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
625.3
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
621.1
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
619.7
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
618.2
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
611.2
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
606.5
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
605.0
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
602.4
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
599.8
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
599.7
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
597.9
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
594.4
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
590.7
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
586.6
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
580.6
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
576.1
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
574.6
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
567.5
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
567.0
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
564.9
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
561.8
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
560.1
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
554.1
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
552.7
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
552.4
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
551.9
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
551.7
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
551.3
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
547.1
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
546.7
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
546.1
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
543.4
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
542.9
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
541.6
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
537.9
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
534.8
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
525.3
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
524.8
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
524.6
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
524.0
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
517.1
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
513.6
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
513.0
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
508.8
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
507.4
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
506.2
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
505.1
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
501.2
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
497.3
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
490.9
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
490.7
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
490.6
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
488.1
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
487.3
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
486.3
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
483.8
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
481.2
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
477.1
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
472.1
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
457.1
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
451.5
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
450.8
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
445.7
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
445.5
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
444.8
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
444.1
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
443.4
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
442.6
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
442.4
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
441.3
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
438.8
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
438.1
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
438.0
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
437.8
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
436.6
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
435.7
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
432.8
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
431.3
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
431.2
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
429.3
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
426.4
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
425.0
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
422.8
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
422.4
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
419.8
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
416.1
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
414.8
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
413.9
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
411.6
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
411.0
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
410.4
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
409.5
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
408.0
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
405.5
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
404.1
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
402.9
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
398.6
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
395.8
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
395.1
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
394.2
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
393.1
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
391.3
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
389.1
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
389.0
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
388.3
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
388.2
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
382.3
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
381.7
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
380.9
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
380.1
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
379.4
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
378.8
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
377.2
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
370.8
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
370.7
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
370.5
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
370.2
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
369.3
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
368.4
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
367.7
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
367.7
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
363.3
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
362.0
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
360.6
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
360.1
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
352.8
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
352.6
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
351.5
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
350.6
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
349.7
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
349.2
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
347.5
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
346.6
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
345.9
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
343.4
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
340.7
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
340.5
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
340.0
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
338.2
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
337.9
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
337.8
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
337.6
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
337.5
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
336.4
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
335.5
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
334.4
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
332.0
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
329.9
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
329.5
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
328.8
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
327.8
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
326.4
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
325.0
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
324.6
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
324.6
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
321.7
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
319.3
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
317.3
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
313.6
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
313.4
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
312.7
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
309.8
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
308.4
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
306.5
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
305.4
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
304.8
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
302.1
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
300.6
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
296.9
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
294.7
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
291.5
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
291.5
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
289.4
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
281.2
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
281.1
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
280.9
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
280.8
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
277.1
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
275.5
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
275.4
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
275.0
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
273.7
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
272.6
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
272.3
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
270.5
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
267.7
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
266.8
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
266.0
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
265.5
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
265.4
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
264.6
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
264.3
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
264.2
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
263.6
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
263.4
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
262.3
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
259.5
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
255.7
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
254.6
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
253.3
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
252.7
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
252.1
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
251.1
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
250.2
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
245.1
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
244.9
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
243.8
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
238.4
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
237.2
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
235.9
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
235.0
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
232.9
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
232.1
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
232.1
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
231.4
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
228.0
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
225.1
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
223.4
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
222.6
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
222.6
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
221.2
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
220.9
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
220.5
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
214.9
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
214.4
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
213.9
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
211.2
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
209.5
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
208.8
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
207.7
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
202.5
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
201.8
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
201.8
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
199.7
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
199.3
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
198.6
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
185.0
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
183.4
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
182.9
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
180.2
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
176.6
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
174.5
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
173.4
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
172.1
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
165.0
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
161.1
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
160.6
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
158.3
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
155.0
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
153.2
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
151.3
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
149.4
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
132.3
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
131.0
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
120.7
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
114.7
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
113.6
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
109.3
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
95.1
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
93.9
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
87.9
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
85.3
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 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.
TXN 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
707.6
Number of samples
231
Samples
Sample
Description
TPM
DO23539
77 years, male, NA, stage:1, alive, 1110 days
3453.5
DO45145
78 years, male, NA, stage:3, dead, 60 days
3330.3
DO45123
78 years, female, NA, stage:2, dead, 570 days
3023.6
DO23519
65 years, male, NA, stage:3, alive, 630 days
2820.9
DO45253
50 years, male, NA, stage:2, alive, 870 days
2161.2
DO23508
79 years, female, NA, stage:2, alive, 390 days
2115.2
DO48704
68 years, female, NA, stage:3, alive, 750 days
1843.2
DO45267
73 years, male, NA, stage:3, dead, 570 days
1817.9
DO48757
68 years, female, NA, stage:3, alive, 480 days
1812.6
DO45235
68 years, female, NA, stage:1, alive, 900 days
1805.8
DO48751
68 years, male, NA, stage:2, dead, 480 days
1769.2
DO50791
79 years, female, NA, stage:1, dead, 480 days
1756.5
DO48741
64 years, male, NA, stage:3, alive, 240 days
1734.8
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1626.3
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1608.4
DO48723
73 years, male, NA, stage:1, alive, 600 days
1591.1
DO23540
73 years, male, NA, stage:1, alive, 750 days
1573.7
DO45281
83 years, male, NA, stage:4, alive, 750 days
1542.4
DO23509
60 years, male, NA, stage:3, dead, 780 days
1493.4
DO23546
63 years, male, NA, stage:2, alive, 1050 days
1429.6
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1356.7
DO48682
72 years, female, NA, stage:3, dead, 120 days
1350.5
DO50814
83 years, male, NA, stage:3, alive, 420 days
1297.5
DO45211
76 years, male, NA, stage:3, alive, 240 days
1275.1
DO45163
76 years, male, NA, stage:2, alive, 960 days
1272.9
DO23545
67 years, male, NA, stage:2, dead, 570 days
1206.9
DO45221
75 years, female, NA, stage:4, dead, 390 days
1206.2
DO50793
76 years, male, NA, stage:4, alive, 540 days
1204.2
DO45127
73 years, male, NA, stage:3, dead, 420 days
1202.2
DO50811
62 years, male, NA, stage:1, alive, 450 days
1188.8
DO50785
37 years, male, NA, stage:4, dead, 90 days
1180.3
DO23533
61 years, male, NA, stage:2, alive, 900 days
1129.8
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1122.6
DO50809
56 years, male, NA, stage:3, dead, 720 days
1112.6
DO50822
66 years, male, NA, stage:2, alive, 510 days
1099.1
DO45093
71 years, male, NA, stage:2, dead, 720 days
1082.4
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1004.7
DO50783
62 years, male, NA, stage:3, alive, 480 days
969.4
DO23548
78 years, female, NA, stage:1, alive, 840 days
927.8
DO50799
66 years, female, NA, stage:2, alive, 540 days
919.9
DO48737
52 years, male, NA, stage:1, alive, 720 days
912.5
DO23552
80 years, female, NA, stage:1, alive, 810 days
908.8
DO48759
73 years, male, NA, stage:3, alive, 720 days
906.9
DO23511
83 years, female, NA, stage:3, dead, 180 days
895.0
DO23547
74 years, male, NA, stage:1, alive, 1020 days
893.7
DO23510
80 years, female, NA, stage:2, alive, 870 days
882.2
DO50804
81 years, male, NA, stage:2, alive, 720 days
881.9
DO45135
77 years, male, NA, stage:1, alive, 1410 days
881.9
DO45129
61 years, male, NA, stage:3, alive, 1470 days
880.7
DO45097
69 years, male, NA, stage:3, alive, 1620 days
870.1
DO50802
49 years, male, NA, stage:2, alive, 930 days
854.1
DO45275
65 years, male, NA, stage:3, dead, 10 days
849.3
DO48721
58 years, female, NA, stage:1, alive, 900 days
835.2
DO45167
67 years, male, NA, stage:2, dead, 1440 days
832.5
DO45241
49 years, male, NA, stage:1, alive, 1080 days
831.8
DO45094
76 years, male, NA, stage:3, alive, 1650 days
829.2
DO50825
70 years, male, NA, stage:2, alive, 390 days
819.5
DO45299
70 years, female, NA, stage:1, alive, 1440 days
810.5
DO50807
67 years, male, NA, stage:1, alive, 540 days
809.1
DO50818
65 years, male, NA, stage:2, alive, 510 days
803.8
DO45101
63 years, male, NA, stage:2, alive, 1680 days
797.5
DO48701
78 years, male, NA, stage:2, alive, 780 days
772.2
DO48695
77 years, male, NA, stage:2, alive, 720 days
772.0
DO50798
77 years, male, NA, stage:3, dead, 30 days
767.4
DO50805
72 years, male, NA, stage:2, alive, 690 days
763.7
DO45307
54 years, female, NA, stage:4, dead, 240 days
760.7
DO48700
78 years, female, NA, stage:2, alive, 810 days
757.2
DO45255
81 years, male, NA, stage:3, alive, 720 days
756.0
DO50859
77 years, male, NA, stage:2, alive, 180 days
754.1
DO45171
56 years, male, NA, stage:3, alive, 600 days
752.2
DO50845
72 years, male, NA, stage:3, alive, 210 days
751.0
DO45173
63 years, male, NA, stage:3, alive, 1170 days
748.8
DO23549
74 years, male, NA, stage:3, alive, 990 days
746.8
DO45277
64 years, male, NA, stage:3, alive, 600 days
744.6
DO45099
46 years, male, NA, stage:3, alive, 1590 days
743.7
DO48693
71 years, male, NA, stage:2, alive, 900 days
743.1
DO45157
62 years, male, NA, stage:2, alive, 1980 days
741.8
DO45205
67 years, female, NA, stage:2, dead, 90 days
738.0
DO23516
69 years, male, NA, stage:3, dead, 20 days
736.6
DO50813
56 years, male, NA, stage:2, alive, 420 days
733.4
DO45115
81 years, male, NA, stage:2, alive, 840 days
731.7
DO45149
70 years, female, NA, stage:2, alive, 1260 days
728.3
DO48761
55 years, male, NA, stage:2, alive, 870 days
720.1
DO45109
63 years, male, NA, stage:2, alive, 1590 days
713.6
DO45269
59 years, male, NA, stage:3, alive, 750 days
704.4
DO45273
62 years, male, NA, stage:2, alive, 480 days
697.1
DO48725
66 years, male, NA, stage:1, alive, 780 days
695.2
DO48681
57 years, male, NA, stage:2, alive, 900 days
693.8
DO48742
76 years, male, NA, stage:2, alive, 600 days
688.5
DO23518
67 years, male, NA, stage:2, alive, 1320 days
683.8
DO45092
62 years, male, NA, stage:4, dead, 1200 days
681.4
DO23543
63 years, male, NA, stage:2, alive, 1020 days
681.1
DO45125
58 years, male, NA, stage:3, alive, 1680 days
680.8
DO45165
75 years, male, NA, stage:2, alive, 690 days
680.5
DO50829
78 years, male, NA, stage:3, alive, 570 days
669.6
DO23541
65 years, male, NA, stage:2, alive, 930 days
664.4
DO45207
68 years, male, NA, stage:1, alive, 1050 days
660.8
DO23521
63 years, male, NA, stage:3, alive, 1110 days
653.8
DO45131
53 years, male, NA, stage:4, dead, 360 days
651.6
DO23523
52 years, male, NA, stage:3, alive, 1080 days
650.5
DO45265
73 years, male, NA, stage:3, alive, 1020 days
645.5
DO227643
79 years, male, NA, stage:2, alive, 1260 days
639.9
DO50839
47 years, female, NA, stage:3, alive, 330 days
638.3
DO48728
74 years, female, NA, stage:2, alive, 150 days
626.5
DO23532
71 years, female, NA, stage:1, alive, 960 days
624.3
DO45287
74 years, male, NA, stage:1, alive, 390 days
623.7
DO45096
69 years, male, NA, stage:2, dead, 1290 days
622.2
DO48716
71 years, male, NA, stage:2, alive, 720 days
618.2
DO45133
64 years, male, NA, stage:3, dead, 660 days
618.1
DO23514
64 years, male, NA, stage:2, alive, 1290 days
616.8
DO50850
74 years, male, NA, stage:3, alive, 720 days
615.9
DO48672
81 years, male, NA, stage:2, alive, 450 days
606.0
DO50808
68 years, male, NA, stage:2, alive, 570 days
596.6
DO45261
74 years, male, NA, stage:3, alive, 990 days
594.6
DO45213
58 years, male, NA, stage:1, alive, 1200 days
594.3
DO45169
74 years, male, NA, stage:3, alive, 1350 days
587.6
DO45301
56 years, male, NA, stage:2, dead, 1440 days
583.3
DO45105
61 years, male, NA, stage:1, alive, 1680 days
583.1
DO45283
60 years, male, NA, stage:3, alive, 510 days
581.0
DO50844
75 years, male, NA, stage:4, alive, 300 days
579.9
DO50787
63 years, male, NA, stage:3, alive, 480 days
579.3
DO45117
73 years, female, NA, stage:2, dead, 1110 days
576.2
DO45095
66 years, male, NA, stage:2, alive, 1620 days
575.9
DO23515
71 years, male, NA, stage:2, alive, 1230 days
573.0
DO45177
81 years, female, NA, stage:3, alive, 1260 days
560.2
DO50774
68 years, female, NA, stage:2, alive, 720 days
558.2
DO45201
49 years, male, NA, stage:1, alive, 900 days
555.6
DO50817
75 years, male, NA, stage:2, alive, 390 days
554.5
DO48736
76 years, female, NA, stage:1, alive, 600 days
553.6
DO48697
64 years, female, NA, stage:2, dead, 810 days
552.2
DO45243
74 years, female, NA, stage:3, alive, 930 days
550.4
DO45107
63 years, female, NA, stage:2, alive, 1710 days
549.9
DO23535
67 years, male, NA, stage:1, alive, 960 days
549.5
DO48747
62 years, male, NA, stage:3, alive, 540 days
537.2
DO23542
66 years, male, NA, stage:3, alive, 960 days
529.5
DO50816
63 years, male, NA, stage:2, alive, 390 days
523.1
DO23534
60 years, male, NA, stage:2, alive, 840 days
513.9
DO45183
72 years, female, NA, stage:2, dead, 570 days
512.2
DO45219
78 years, male, NA, stage:2, alive, 1080 days
504.8
DO45159
65 years, male, NA, stage:3, alive, 1470 days
502.5
DO48706
72 years, male, NA, stage:2, alive, 870 days
497.6
DO45257
46 years, male, NA, stage:3, alive, 810 days
493.8
DO50840
49 years, male, NA, stage:2, alive, 330 days
491.7
DO45229
74 years, male, NA, stage:1, alive, 990 days
486.7
DO48730
73 years, female, NA, stage:2, alive, 630 days
482.6
DO50857
72 years, male, NA, stage:2, alive, 210 days
473.8
DO50815
62 years, male, NA, stage:3, alive, 150 days
473.1
DO48715
58 years, female, NA, stage:2, dead, 690 days
471.1
DO45103
47 years, male, NA, stage:3, alive, 450 days
468.8
DO45285
59 years, male, NA, stage:3, alive, 480 days
468.5
DO45259
65 years, male, NA, stage:3, alive, 330 days
464.2
DO23513
76 years, male, NA, stage:3, alive, 1200 days
459.3
DO45193
68 years, female, NA, stage:4, dead, 120 days
459.0
DO45137
38 years, male, NA, stage:1, alive, 1320 days
457.7
DO227801
77 years, female, NA, stage:1, alive, 660 days
455.4
DO45153
77 years, female, NA, stage:2, alive, 1380 days
455.2
DO45245
75 years, female, NA, stage:2, dead, 240 days
453.5
DO50806
70 years, male, NA, stage:4, alive, 540 days
450.5
DO45297
61 years, female, NA, stage:4, dead, 1260 days
448.5
DO45233
83 years, male, NA, stage:3, alive, 900 days
443.4
DO45217
69 years, female, NA, stage:3, dead, 270 days
441.1
DO23544
67 years, male, NA, stage:2, alive, 960 days
433.6
DO45237
58 years, male, NA, stage:2, alive, 900 days
429.5
DO45209
70 years, male, NA, stage:4, alive, 1350 days
414.3
DO45141
73 years, male, NA, stage:2, alive, 1320 days
411.1
DO48746
76 years, male, NA, stage:3, alive, 570 days
408.7
DO23527
72 years, male, NA, stage:1, alive, 1050 days
407.4
DO45227
57 years, female, NA, stage:2, alive, 1020 days
388.5
DO50778
60 years, male, NA, stage:4, alive, 630 days
388.3
DO48760
70 years, female, NA, stage:2, alive, 690 days
385.4
DO50776
75 years, male, NA, stage:1, alive, 690 days
376.1
DO23529
72 years, male, NA, stage:4, alive, 930 days
372.0
DO23524
71 years, female, NA, stage:2, alive, 1050 days
366.8
DO50832
73 years, male, NA, stage:3, alive, 90 days
364.5
DO23526
66 years, male, NA, stage:3, alive, 1050 days
363.8
DO48733
72 years, male, NA, stage:2, alive, 600 days
360.0
DO50855
47 years, male, NA, stage:2, alive, 570 days
357.8
DO45139
63 years, male, NA, stage:3, alive, 1320 days
357.8
DO48717
54 years, male, NA, stage:4, dead, 180 days
355.0
DO45187
32 years, female, NA, stage:1, alive, 1260 days
353.4
DO48732
73 years, male, NA, stage:3, alive, 630 days
352.5
DO45303
62 years, female, NA, stage:3, alive, 990 days
350.6
DO45215
65 years, male, NA, stage:2, alive, 1170 days
349.7
DO45091
56 years, male, NA, stage:2, dead, 1320 days
347.7
DO48677
58 years, male, NA, stage:3, alive, 1140 days
345.0
DO23512
60 years, male, NA, stage:1, alive, 1260 days
344.9
DO45119
74 years, male, NA, stage:3, dead, 510 days
343.6
DO48720
62 years, female, NA, stage:2, alive, 570 days
340.9
DO23536
56 years, male, NA, stage:2, alive, 930 days
338.6
DO45203
71 years, female, NA, stage:2, alive, 1170 days
338.4
DO50803
62 years, female, NA, stage:1, alive, 540 days
335.6
DO48743
69 years, female, NA, stage:2, alive, 570 days
332.4
DO45247
31 years, female, NA, stage:2, alive, 210 days
326.0
DO45223
67 years, male, NA, stage:4, alive, 1020 days
320.7
DO48719
80 years, male, NA, stage:2, alive, 690 days
318.7
DO45197
51 years, male, NA, stage:2, alive, 1170 days
312.4
DO45181
84 years, female, NA, stage:2, alive, 1200 days
312.2
DO50800
74 years, male, NA, stage:2, alive, 510 days
310.8
DO23528
45 years, female, NA, stage:2, alive, 1020 days
310.5
DO23538
67 years, male, NA, stage:2, alive, 450 days
302.6
DO45161
74 years, male, NA, stage:2, dead, 540 days
300.7
DO45199
86 years, female, NA, stage:2, alive, 1350 days
293.5
DO45191
61 years, female, NA, stage:2, alive, 1200 days
291.1
DO23530
53 years, male, NA, stage:4, dead, 180 days
291.0
DO45239
42 years, male, NA, stage:2, alive, 870 days
290.3
DO45305
66 years, male, NA, stage:4, alive, 300 days
289.8
DO45179
78 years, female, NA, stage:2, alive, 600 days
281.3
DO45249
57 years, male, NA, stage:1, alive, 630 days
280.2
DO48712
50 years, male, NA, stage:2, alive, 810 days
280.1
DO45121
61 years, male, NA, stage:3, alive, 1530 days
280.0
DO50789
73 years, female, NA, stage:2, alive, 570 days
275.9
DO45155
69 years, male, NA, stage:2, alive, 2160 days
264.8
DO23550
69 years, male, NA, stage:1, alive, 990 days
260.2
DO45195
62 years, male, NA, stage:1, alive, 390 days
255.4
DO45251
57 years, female, NA, stage:2, alive, 900 days
235.2
DO23537
79 years, male, NA, stage:2, dead, 900 days
234.4
DO23551
73 years, male, NA, stage:3, dead, 150 days
231.2
DO48674
80 years, male, NA, stage:2, alive, 1260 days
230.3
DO50819
72 years, female, NA, stage:2, alive, 510 days
223.9
DO23531
78 years, female, NA, stage:3, alive, 900 days
220.8
DO45279
67 years, male, NA, stage:3, alive, 1290 days
216.7
DO50820
77 years, female, NA, stage:3, alive, 510 days
213.4
DO45113
58 years, male, NA, stage:3, alive, 1560 days
210.8
DO45185
89 years, male, NA, stage:2, alive, 600 days
196.5
DO23517
62 years, male, NA, stage:2, alive, 1200 days
195.7
DO45263
67 years, male, NA, stage:3, dead, 270 days
194.2
DO45289
78 years, female, NA, stage:3, alive, 360 days
189.2
DO45231
84 years, male, NA, stage:2, alive, 930 days
171.5
DO45111
74 years, male, NA, stage:2, alive, 1590 days
143.8
DO45189
85 years, female, NA, stage:2, alive, 1200 days
84.2
DO48727
81 years, female, NA, stage:2, dead, 390 days
81.4
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
515
Tumor
1.3
567
Tumor
1.2
537
Tumor
1.1
525
Tumor
1.0
911
Tumor
1.0
913
Tumor
1.0
471
Tumor
0.9
695
Tumor
0.9
533
Tumor
0.8
483
Tumor
0.8
267
Tumor
0.8
617
Tumor
0.7
1041
Tumor
0.7
777
Tumor
0.7
741
Tumor
0.7
1013
Tumor
0.7
951
Tumor
0.6
923
Tumor
0.6
755
Tumor
0.6
1045
Tumor
0.6
977
Tumor
0.5
357
Tumor
0.5
724
Normal
0.5
1021
Tumor
0.5
513
Tumor
0.5
227
Tumor
0.4
461
Tumor
0.4
493
Tumor
0.4
465
Tumor
0.4
1031
Tumor
0.4
953
Tumor
0.4
427
Tumor
0.4
435
Tumor
0.4
955
Tumor
0.4
952
Normal
0.3
745
Tumor
0.3
573
Tumor
0.3
698
Normal
0.3
865
Tumor
0.3
391
Tumor
0.3
925
Tumor
0.3
277
Tumor
0.3
113
Tumor
0.3
966
Normal
0.3
516
Normal
0.3
982
Normal
0.3
538
Normal
0.3
746
Normal
0.3
1028
Normal
0.3
857
Tumor
0.3
415
Tumor
0.3
355
Tumor
0.2
817
Tumor
0.2
873
Tumor
0.2
956
Normal
0.2
883
Tumor
0.2
571
Tumor
0.2
965
Tumor
0.2
353
Tumor
0.2
878
Normal
0.2
423
Tumor
0.2
416
Normal
0.2
921
Tumor
0.2
554
Normal
0.1
851
Tumor
0.1
497
Tumor
0.1
785
Tumor
0.1
635
Tumor
0.1
914
Normal
0.1
861
Tumor
0.1
867
Tumor
0.1
553
Tumor
0.1
127
Tumor
0.1
874
Normal
0.1
375
Tumor
0.0
858
Normal
0.0
738
Normal
0.0
744
Normal
0.0
647
Tumor
0.0
728
Normal
0.0
1026
Normal
0.0
112
Tumor
0.0
161
Tumor
0.0
1025
Tumor
0.0
924
Normal
0.0
778
Normal
0.0
1043
Tumor
0.0
141
Tumor
0.0
327
Tumor
0.0
411
Tumor
0.0
881
Tumor
0.0
937
Tumor
0.0
864
Normal
0.0
1016
Normal
0.0
358
Normal
0.0
954
Normal
0.0
492
Normal
0.0
223
Tumor
-0.1
963
Tumor
-0.1
147
Tumor
-0.1
271
Tumor
-0.1
514
Normal
-0.1
557
Tumor
-0.1
975
Tumor
-0.1
328
Normal
-0.1
212
Normal
-0.1
863
Tumor
-0.1
341
Tumor
-0.1
214
Normal
-0.1
285
Tumor
-0.1
915
Tumor
-0.1
818
Normal
-0.1
228
Normal
-0.1
342
Normal
-0.1
365
Tumor
-0.1
916
Normal
-0.1
221
Tumor
-0.1
696
Normal
-0.1
723
Tumor
-0.1
445
Tumor
-0.1
494
Normal
-0.1
618
Normal
-0.1
1015
Tumor
-0.1
422
Normal
-0.1
362
Normal
-0.1
756
Normal
-0.1
478
Normal
-0.1
568
Normal
-0.2
128
Normal
-0.2
356
Normal
-0.2
546
Normal
-0.2
534
Normal
-0.2
518
Normal
-0.2
477
Tumor
-0.2
448
Normal
-0.2
1042
Normal
-0.2
488
Normal
-0.2
354
Normal
-0.2
722
Normal
-0.2
191
Tumor
-0.2
386
Normal
-0.2
412
Normal
-0.2
484
Normal
-0.2
816
Normal
-0.2
364
Normal
-0.2
981
Tumor
-0.2
922
Normal
-0.2
716
Normal
-0.2
384
Normal
-0.2
823
Tumor
-0.2
715
Tumor
-0.2
737
Tumor
-0.2
545
Tumor
-0.2
123
Tumor
-0.2
852
Normal
-0.2
1046
Normal
-0.2
526
Normal
-0.2
1044
Normal
-0.2
663
Tumor
-0.2
298
Normal
-0.2
714
Normal
-0.2
524
Normal
-0.2
944
Normal
-0.2
824
Normal
-0.2
186
Normal
-0.2
472
Normal
-0.2
213
Tumor
-0.2
983
Tumor
-0.2
976
Normal
-0.2
344
Normal
-0.2
466
Normal
-0.2
232
Normal
-0.2
428
Normal
-0.3
641
Tumor
-0.3
196
Normal
-0.3
523
Tumor
-0.3
145
Tumor
-0.3
111
Normal
-0.3
938
Normal
-0.3
866
Normal
-0.3
615
Tumor
-0.3
636
Normal
-0.3
882
Normal
-0.3
434
Normal
-0.3
487
Tumor
-0.3
964
Normal
-0.3
376
Normal
-0.3
474
Normal
-0.3
312
Normal
-0.3
268
Normal
-0.3
278
Normal
-0.3
926
Normal
-0.3
462
Normal
-0.3
912
Normal
-0.3
431
Tumor
-0.3
481
Tumor
-0.3
368
Normal
-0.3
367
Tumor
-0.3
284
Normal
-0.3
388
Normal
-0.3
361
Tumor
-0.3
1027
Tumor
-0.3
528
Normal
-0.3
313
Tumor
-0.3
642
Normal
-0.3
616
Normal
-0.3
918
Normal
-0.3
984
Normal
-0.3
224
Normal
-0.3
332
Normal
-0.3
1022
Normal
-0.3
498
Normal
-0.4
195
Tumor
-0.4
572
Normal
-0.4
146
Normal
-0.4
272
Normal
-0.4
366
Normal
-0.4
564
Normal
-0.4
627
Tumor
-0.4
286
Normal
-0.4
124
Normal
-0.4
917
Tumor
-0.4
433
Tumor
-0.4
262
Normal
-0.4
527
Tumor
-0.4
142
Normal
-0.4
396
Normal
-0.4
558
Normal
-0.4
452
Normal
-0.4
868
Normal
-0.4
697
Tumor
-0.4
171
Tumor
-0.4
426
Normal
-0.4
862
Normal
-0.4
114
Normal
-0.4
727
Tumor
-0.4
392
Normal
-0.4
394
Normal
-0.4
742
Normal
-0.4
424
Normal
-0.4
148
Normal
-0.4
131
Tumor
-0.4
425
Tumor
-0.4
352
Normal
-0.4
786
Normal
-0.5
444
Normal
-0.5
383
Tumor
-0.5
1032
Normal
-0.5
482
Normal
-0.5
662
Normal
-0.5
126
Normal
-0.5
172
Normal
-0.5
231
Tumor
-0.5
447
Tumor
-0.5
877
Tumor
-0.5
574
Normal
-0.5
686
Normal
-0.5
978
Normal
-0.5
1014
Normal
-0.5
721
Tumor
-0.5
218
Normal
-0.5
436
Normal
-0.5
958
Normal
-0.5
628
Normal
-0.5
814
Normal
-0.5
363
Tumor
-0.5
517
Tumor
-0.5
456
Normal
-0.5
187
Tumor
-0.5
162
Normal
-0.5
222
Normal
-0.5
258
Normal
-0.5
135
Tumor
-0.5
968
Normal
-0.5
464
Normal
-0.5
535
Tumor
-0.5
563
Tumor
-0.5
451
Tumor
-0.5
138
Normal
-0.5
125
Tumor
-0.5
136
Normal
-0.5
414
Normal
-0.5
132
Normal
-0.5
188
Normal
-0.6
491
Tumor
-0.6
421
Tumor
-0.6
261
Tumor
-0.6
257
Tumor
-0.6
314
Normal
-0.6
468
Normal
-0.6
395
Tumor
-0.6
685
Tumor
-0.6
432
Normal
-0.6
473
Tumor
-0.6
815
Tumor
-0.6
884
Normal
-0.6
443
Tumor
-0.6
393
Tumor
-0.6
413
Tumor
-0.6
648
Normal
-0.6
137
Tumor
-0.6
536
Normal
-0.7
463
Tumor
-0.7
446
Normal
-0.7
713
Tumor
-0.7
351
Tumor
-0.7
664
Normal
-0.7
387
Tumor
-0.7
217
Tumor
-0.7
185
Tumor
-0.7
943
Tumor
-0.7
957
Tumor
-0.7
331
Tumor
-0.7
192
Normal
-0.8
672
Normal
-0.8
813
Tumor
-0.8
297
Tumor
-0.8
311
Tumor
-0.8
666
Normal
-0.8
967
Tumor
-0.8
385
Tumor
-0.9
661
Tumor
-0.9
671
Tumor
-0.9
283
Tumor
-0.9
343
Tumor
-0.9
743
Tumor
-1.0
455
Tumor
-1.1
665
Tumor
-1.2
211
Tumor
-1.2
467
Tumor
-1.6
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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
