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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.
ALDH1A1 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.
: 1.63
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.062
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.
53%
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.
40%
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
582.5
Number of samples
362
Samples
Sample
Description
TPM
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
3740.4
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
3213.3
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
2508.1
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
2500.9
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
2191.7
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
2050.9
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
2045.4
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
1856.4
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
1830.2
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1813.6
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
1794.6
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1758.9
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
1708.1
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1660.3
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
1646.8
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
1609.3
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1519.9
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
1513.3
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1465.2
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1459.0
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
1402.7
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1397.6
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
1395.5
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
1384.3
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1341.4
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
1291.3
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1287.4
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
1283.7
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
1271.2
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1266.3
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1256.7
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
1254.4
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1248.5
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1221.8
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1219.2
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1207.9
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1179.7
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
1175.5
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1171.9
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1159.6
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1129.5
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
1118.2
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
1111.3
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1110.8
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
1109.0
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1095.1
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1095.0
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1090.5
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1073.4
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
1070.6
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1067.0
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
1046.6
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1036.2
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
1034.6
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
1019.1
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
1015.4
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
1007.7
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1005.0
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
991.4
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
981.4
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
969.4
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
969.3
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
944.9
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
935.7
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
933.5
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
930.7
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
923.3
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
904.1
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
901.3
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
897.0
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
894.5
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
888.5
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
882.9
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
875.2
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
866.8
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
862.5
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
856.3
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
849.1
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
829.6
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
829.0
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
818.8
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
812.4
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
809.9
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
807.2
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
801.0
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
799.8
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
797.1
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
781.6
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
776.6
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
764.0
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
761.0
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
749.0
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
743.2
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
742.8
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
740.9
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
727.1
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
722.8
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
722.8
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
721.2
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
720.9
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
717.6
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
709.9
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
707.4
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
687.3
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
685.8
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
685.1
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
680.8
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
676.1
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
675.6
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
674.0
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
673.1
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
669.8
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
667.7
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
662.8
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
661.9
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
660.8
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
660.4
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
659.8
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
656.8
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
636.2
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
635.8
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
634.1
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
633.3
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
632.0
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
627.0
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
623.1
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
622.8
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
614.6
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
606.7
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
605.3
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
603.6
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
602.4
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
598.7
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
596.5
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
590.5
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
587.6
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
584.4
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
583.0
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
580.3
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
577.7
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
566.8
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
547.3
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
546.9
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
542.2
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
540.1
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
539.7
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
537.1
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
535.5
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
534.0
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
533.9
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
533.0
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
532.4
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
530.2
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
528.4
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
528.0
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
517.8
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
516.3
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
515.8
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
513.7
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
504.4
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
498.8
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
495.5
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
495.2
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
495.2
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
493.7
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
488.7
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
487.0
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
485.4
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
485.3
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
483.0
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
482.1
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
480.3
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
480.2
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
479.9
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
479.3
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
478.4
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
475.9
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
467.1
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
456.9
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
454.2
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
449.0
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
448.3
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
448.1
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
447.8
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
444.4
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
443.5
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
437.5
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
437.3
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
435.4
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
432.9
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
430.2
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
429.1
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
429.1
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
428.2
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
427.8
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
427.0
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
417.3
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
414.0
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
413.7
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
412.1
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
409.9
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
409.3
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
408.8
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
404.3
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
397.4
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
397.2
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
396.7
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
396.4
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
395.0
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
393.8
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
392.7
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
392.6
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
392.5
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
392.3
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
391.8
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
383.7
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
383.4
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
378.7
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
378.5
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
374.2
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
373.6
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
369.6
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
363.5
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
363.1
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
363.1
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
357.1
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
356.3
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
345.0
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
343.7
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
335.0
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
334.8
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
332.9
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
332.5
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
324.8
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
323.8
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
320.8
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
316.3
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
314.6
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
313.2
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
313.0
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
308.2
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
303.9
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
303.6
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
303.6
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
303.2
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
303.1
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
301.9
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
301.4
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
300.6
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
300.0
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
297.9
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
297.7
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
296.9
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
295.7
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
295.0
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
294.1
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
293.8
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
291.7
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
291.5
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
288.4
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
284.8
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
277.5
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
270.3
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
267.7
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
266.3
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
262.8
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
258.6
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
256.9
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
255.3
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
254.0
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
252.5
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
252.2
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
252.1
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
251.1
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
240.0
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
240.0
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
239.8
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
236.6
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
234.7
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
231.2
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
230.0
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
226.3
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
226.0
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
225.4
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
224.5
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
224.4
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
218.3
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
216.8
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
215.8
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
215.8
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
215.4
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
212.6
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
211.7
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
208.1
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
206.5
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
204.1
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
199.4
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
198.0
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
196.4
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
192.9
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
190.5
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
183.1
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
181.6
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
180.3
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
175.9
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
173.9
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
171.6
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
169.3
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
164.6
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
160.7
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
160.6
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
159.1
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
158.4
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
156.1
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
152.0
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
148.7
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
148.7
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
142.9
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
140.9
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
139.2
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
139.0
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
138.6
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
135.2
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
134.7
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
133.3
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
133.2
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
126.8
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
123.3
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
117.0
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
116.4
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
114.9
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
113.7
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
111.8
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
110.3
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
110.2
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
103.1
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
101.6
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
100.0
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
96.7
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
93.2
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
87.7
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
87.3
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
81.9
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
76.9
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
76.5
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
73.5
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
64.8
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
56.0
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
55.9
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
44.0
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
33.5
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
33.4
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
32.9
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
28.2
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
23.9
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
23.5
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
15.3
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
12.9
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
7.0
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
4.1
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
3.4
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 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.
ALDH1A1 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.
: 2.14
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.021
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.
71%
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.
39%
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
716.5
Number of samples
231
Samples
Sample
Description
TPM
DO45253
50 years, male, NA, stage:2, alive, 870 days
4975.9
DO45175
74 years, male, NA, stage:2, alive, 1140 days
3914.3
DO45123
78 years, female, NA, stage:2, dead, 570 days
3466.2
DO45129
61 years, male, NA, stage:3, alive, 1470 days
2712.1
DO23509
60 years, male, NA, stage:3, dead, 780 days
2577.3
DO50859
77 years, male, NA, stage:2, alive, 180 days
2540.3
DO48672
81 years, male, NA, stage:2, alive, 450 days
2372.5
DO48723
73 years, male, NA, stage:1, alive, 600 days
2360.8
DO45235
68 years, female, NA, stage:1, alive, 900 days
2300.3
DO45145
78 years, male, NA, stage:3, dead, 60 days
2275.2
DO48757
68 years, female, NA, stage:3, alive, 480 days
2185.7
DO23540
73 years, male, NA, stage:1, alive, 750 days
2062.6
DO48704
68 years, female, NA, stage:3, alive, 750 days
1904.6
DO50804
81 years, male, NA, stage:2, alive, 720 days
1879.5
DO48742
76 years, male, NA, stage:2, alive, 600 days
1866.5
DO48695
77 years, male, NA, stage:2, alive, 720 days
1822.8
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1758.6
DO45093
71 years, male, NA, stage:2, dead, 720 days
1716.0
DO48677
58 years, male, NA, stage:3, alive, 1140 days
1659.5
DO45255
81 years, male, NA, stage:3, alive, 720 days
1658.3
DO23516
69 years, male, NA, stage:3, dead, 20 days
1592.0
DO23533
61 years, male, NA, stage:2, alive, 900 days
1590.4
DO23542
66 years, male, NA, stage:3, alive, 960 days
1543.9
DO50793
76 years, male, NA, stage:4, alive, 540 days
1503.1
DO45281
83 years, male, NA, stage:4, alive, 750 days
1501.5
DO45163
76 years, male, NA, stage:2, alive, 960 days
1488.9
DO50829
78 years, male, NA, stage:3, alive, 570 days
1462.8
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1397.0
DO45094
76 years, male, NA, stage:3, alive, 1650 days
1351.4
DO48721
58 years, female, NA, stage:1, alive, 900 days
1311.7
DO48751
68 years, male, NA, stage:2, dead, 480 days
1309.8
DO50802
49 years, male, NA, stage:2, alive, 930 days
1290.8
DO45171
56 years, male, NA, stage:3, alive, 600 days
1268.1
DO23529
72 years, male, NA, stage:4, alive, 930 days
1209.4
DO23541
65 years, male, NA, stage:2, alive, 930 days
1201.9
DO50811
62 years, male, NA, stage:1, alive, 450 days
1201.4
DO48761
55 years, male, NA, stage:2, alive, 870 days
1189.5
DO45233
83 years, male, NA, stage:3, alive, 900 days
1076.8
DO45125
58 years, male, NA, stage:3, alive, 1680 days
1069.5
DO50817
75 years, male, NA, stage:2, alive, 390 days
1064.7
DO23543
63 years, male, NA, stage:2, alive, 1020 days
1063.0
DO50818
65 years, male, NA, stage:2, alive, 510 days
1056.6
DO45097
69 years, male, NA, stage:3, alive, 1620 days
1054.4
DO23527
72 years, male, NA, stage:1, alive, 1050 days
1046.2
DO50791
79 years, female, NA, stage:1, dead, 480 days
1032.8
DO50807
67 years, male, NA, stage:1, alive, 540 days
1032.3
DO45133
64 years, male, NA, stage:3, dead, 660 days
1027.8
DO50816
63 years, male, NA, stage:2, alive, 390 days
1020.9
DO50783
62 years, male, NA, stage:3, alive, 480 days
1019.4
DO48746
76 years, male, NA, stage:3, alive, 570 days
1004.9
DO45169
74 years, male, NA, stage:3, alive, 1350 days
995.0
DO50798
77 years, male, NA, stage:3, dead, 30 days
988.9
DO45143
69 years, male, NA, stage:3, alive, 1290 days
970.9
DO45099
46 years, male, NA, stage:3, alive, 1590 days
970.8
DO45207
68 years, male, NA, stage:1, alive, 1050 days
951.6
DO45167
67 years, male, NA, stage:2, dead, 1440 days
924.9
DO45149
70 years, female, NA, stage:2, alive, 1260 days
917.5
DO23548
78 years, female, NA, stage:1, alive, 840 days
912.2
DO48743
69 years, female, NA, stage:2, alive, 570 days
902.5
DO227643
79 years, male, NA, stage:2, alive, 1260 days
896.8
DO23550
69 years, male, NA, stage:1, alive, 990 days
877.0
DO48759
73 years, male, NA, stage:3, alive, 720 days
862.8
DO50808
68 years, male, NA, stage:2, alive, 570 days
847.6
DO50822
66 years, male, NA, stage:2, alive, 510 days
840.7
DO50840
49 years, male, NA, stage:2, alive, 330 days
840.1
DO45096
69 years, male, NA, stage:2, dead, 1290 days
837.9
DO48679
72 years, male, NA, stage:2, alive, 1200 days
826.1
DO48716
71 years, male, NA, stage:2, alive, 720 days
816.7
DO50799
66 years, female, NA, stage:2, alive, 540 days
803.0
DO45197
51 years, male, NA, stage:2, alive, 1170 days
802.3
DO23552
80 years, female, NA, stage:1, alive, 810 days
792.6
DO23546
63 years, male, NA, stage:2, alive, 1050 days
787.9
DO50785
37 years, male, NA, stage:4, dead, 90 days
780.2
DO45227
57 years, female, NA, stage:2, alive, 1020 days
779.1
DO50805
72 years, male, NA, stage:2, alive, 690 days
776.8
DO45229
74 years, male, NA, stage:1, alive, 990 days
769.1
DO23538
67 years, male, NA, stage:2, alive, 450 days
765.6
DO45261
74 years, male, NA, stage:3, alive, 990 days
758.4
DO45201
49 years, male, NA, stage:1, alive, 900 days
754.1
DO45173
63 years, male, NA, stage:3, alive, 1170 days
750.3
DO45137
38 years, male, NA, stage:1, alive, 1320 days
744.9
DO45111
74 years, male, NA, stage:2, alive, 1590 days
739.3
DO23545
67 years, male, NA, stage:2, dead, 570 days
730.4
DO48732
73 years, male, NA, stage:3, alive, 630 days
729.0
DO23521
63 years, male, NA, stage:3, alive, 1110 days
727.0
DO23536
56 years, male, NA, stage:2, alive, 930 days
721.7
DO50813
56 years, male, NA, stage:2, alive, 420 days
714.9
DO50778
60 years, male, NA, stage:4, alive, 630 days
707.9
DO45269
59 years, male, NA, stage:3, alive, 750 days
706.9
DO45221
75 years, female, NA, stage:4, dead, 390 days
706.4
DO45092
62 years, male, NA, stage:4, dead, 1200 days
691.2
DO45199
86 years, female, NA, stage:2, alive, 1350 days
683.8
DO45275
65 years, male, NA, stage:3, dead, 10 days
679.2
DO50774
68 years, female, NA, stage:2, alive, 720 days
677.0
DO23519
65 years, male, NA, stage:3, alive, 630 days
665.7
DO50803
62 years, female, NA, stage:1, alive, 540 days
664.6
DO45257
46 years, male, NA, stage:3, alive, 810 days
662.2
DO50814
83 years, male, NA, stage:3, alive, 420 days
652.6
DO50787
63 years, male, NA, stage:3, alive, 480 days
652.4
DO50850
74 years, male, NA, stage:3, alive, 720 days
642.0
DO45091
56 years, male, NA, stage:2, dead, 1320 days
640.4
DO23514
64 years, male, NA, stage:2, alive, 1290 days
630.5
DO23508
79 years, female, NA, stage:2, alive, 390 days
628.1
DO45109
63 years, male, NA, stage:2, alive, 1590 days
622.9
DO45105
61 years, male, NA, stage:1, alive, 1680 days
613.6
DO23518
67 years, male, NA, stage:2, alive, 1320 days
607.7
DO45115
81 years, male, NA, stage:2, alive, 840 days
597.9
DO23525
71 years, male, NA, stage:4, alive, 1050 days
596.6
DO45101
63 years, male, NA, stage:2, alive, 1680 days
589.1
DO45113
58 years, male, NA, stage:3, alive, 1560 days
587.4
DO227801
77 years, female, NA, stage:1, alive, 660 days
583.5
DO45205
67 years, female, NA, stage:2, dead, 90 days
580.3
DO50789
73 years, female, NA, stage:2, alive, 570 days
577.3
DO48741
64 years, male, NA, stage:3, alive, 240 days
575.8
DO23510
80 years, female, NA, stage:2, alive, 870 days
570.4
DO50825
70 years, male, NA, stage:2, alive, 390 days
553.9
DO50839
47 years, female, NA, stage:3, alive, 330 days
545.1
DO50857
72 years, male, NA, stage:2, alive, 210 days
544.3
DO45107
63 years, female, NA, stage:2, alive, 1710 days
537.3
DO45219
78 years, male, NA, stage:2, alive, 1080 days
520.6
DO48717
54 years, male, NA, stage:4, dead, 180 days
517.7
DO45165
75 years, male, NA, stage:2, alive, 690 days
516.3
DO50832
73 years, male, NA, stage:3, alive, 90 days
510.8
DO50809
56 years, male, NA, stage:3, dead, 720 days
508.8
DO45213
58 years, male, NA, stage:1, alive, 1200 days
504.0
DO48700
78 years, female, NA, stage:2, alive, 810 days
501.1
DO45177
81 years, female, NA, stage:3, alive, 1260 days
494.0
DO45265
73 years, male, NA, stage:3, alive, 1020 days
493.1
DO23544
67 years, male, NA, stage:2, alive, 960 days
492.0
DO45195
62 years, male, NA, stage:1, alive, 390 days
485.1
DO45117
73 years, female, NA, stage:2, dead, 1110 days
479.6
DO45181
84 years, female, NA, stage:2, alive, 1200 days
464.8
DO45135
77 years, male, NA, stage:1, alive, 1410 days
459.1
DO45119
74 years, male, NA, stage:3, dead, 510 days
454.3
DO45237
58 years, male, NA, stage:2, alive, 900 days
441.7
DO45139
63 years, male, NA, stage:3, alive, 1320 days
441.3
DO45203
71 years, female, NA, stage:2, alive, 1170 days
436.4
DO45157
62 years, male, NA, stage:2, alive, 1980 days
434.8
DO45215
65 years, male, NA, stage:2, alive, 1170 days
434.2
DO23535
67 years, male, NA, stage:1, alive, 960 days
421.5
DO48727
81 years, female, NA, stage:2, dead, 390 days
420.5
DO48760
70 years, female, NA, stage:2, alive, 690 days
416.7
DO45159
65 years, male, NA, stage:3, alive, 1470 days
412.2
DO23549
74 years, male, NA, stage:3, alive, 990 days
411.3
DO48725
66 years, male, NA, stage:1, alive, 780 days
410.4
DO50806
70 years, male, NA, stage:4, alive, 540 days
403.9
DO23531
78 years, female, NA, stage:3, alive, 900 days
397.5
DO50819
72 years, female, NA, stage:2, alive, 510 days
393.0
DO45153
77 years, female, NA, stage:2, alive, 1380 days
387.4
DO48736
76 years, female, NA, stage:1, alive, 600 days
363.7
DO48733
72 years, male, NA, stage:2, alive, 600 days
356.0
DO23524
71 years, female, NA, stage:2, alive, 1050 days
351.5
DO45095
66 years, male, NA, stage:2, alive, 1620 days
349.6
DO23513
76 years, male, NA, stage:3, alive, 1200 days
348.0
DO23512
60 years, male, NA, stage:1, alive, 1260 days
347.8
DO45267
73 years, male, NA, stage:3, dead, 570 days
343.7
DO50776
75 years, male, NA, stage:1, alive, 690 days
336.8
DO48719
80 years, male, NA, stage:2, alive, 690 days
333.8
DO48728
74 years, female, NA, stage:2, alive, 150 days
329.5
DO45247
31 years, female, NA, stage:2, alive, 210 days
322.0
DO48701
78 years, male, NA, stage:2, alive, 780 days
314.9
DO23530
53 years, male, NA, stage:4, dead, 180 days
314.6
DO23517
62 years, male, NA, stage:2, alive, 1200 days
306.4
DO45241
49 years, male, NA, stage:1, alive, 1080 days
304.3
DO48715
58 years, female, NA, stage:2, dead, 690 days
302.1
DO23532
71 years, female, NA, stage:1, alive, 960 days
300.2
DO45187
32 years, female, NA, stage:1, alive, 1260 days
300.1
DO48720
62 years, female, NA, stage:2, alive, 570 days
296.1
DO45161
74 years, male, NA, stage:2, dead, 540 days
288.8
DO45243
74 years, female, NA, stage:3, alive, 930 days
286.0
DO23534
60 years, male, NA, stage:2, alive, 840 days
282.5
DO45223
67 years, male, NA, stage:4, alive, 1020 days
282.1
DO45245
75 years, female, NA, stage:2, dead, 240 days
277.6
DO48674
80 years, male, NA, stage:2, alive, 1260 days
270.3
DO50845
72 years, male, NA, stage:3, alive, 210 days
269.9
DO45141
73 years, male, NA, stage:2, alive, 1320 days
263.8
DO45231
84 years, male, NA, stage:2, alive, 930 days
262.9
DO23551
73 years, male, NA, stage:3, dead, 150 days
254.2
DO48681
57 years, male, NA, stage:2, alive, 900 days
253.8
DO45121
61 years, male, NA, stage:3, alive, 1530 days
248.8
DO45239
42 years, male, NA, stage:2, alive, 870 days
247.0
DO48730
73 years, female, NA, stage:2, alive, 630 days
244.5
DO45185
89 years, male, NA, stage:2, alive, 600 days
241.1
DO23515
71 years, male, NA, stage:2, alive, 1230 days
240.8
DO23547
74 years, male, NA, stage:1, alive, 1020 days
240.7
DO50815
62 years, male, NA, stage:3, alive, 150 days
229.4
DO50820
77 years, female, NA, stage:3, alive, 510 days
227.8
DO50800
74 years, male, NA, stage:2, alive, 510 days
223.2
DO23528
45 years, female, NA, stage:2, alive, 1020 days
222.5
DO48693
71 years, male, NA, stage:2, alive, 900 days
218.1
DO23526
66 years, male, NA, stage:3, alive, 1050 days
216.7
DO48706
72 years, male, NA, stage:2, alive, 870 days
210.0
DO45273
62 years, male, NA, stage:2, alive, 480 days
207.7
DO45283
60 years, male, NA, stage:3, alive, 510 days
204.7
DO45191
61 years, female, NA, stage:2, alive, 1200 days
202.8
DO45179
78 years, female, NA, stage:2, alive, 600 days
202.2
DO48712
50 years, male, NA, stage:2, alive, 810 days
188.2
DO23511
83 years, female, NA, stage:3, dead, 180 days
179.7
DO45103
47 years, male, NA, stage:3, alive, 450 days
173.9
DO45277
64 years, male, NA, stage:3, alive, 600 days
170.5
DO48737
52 years, male, NA, stage:1, alive, 720 days
167.9
DO45127
73 years, male, NA, stage:3, dead, 420 days
153.6
DO45131
53 years, male, NA, stage:4, dead, 360 days
142.2
DO45183
72 years, female, NA, stage:2, dead, 570 days
134.5
DO50855
47 years, male, NA, stage:2, alive, 570 days
134.2
DO45217
69 years, female, NA, stage:3, dead, 270 days
127.2
DO45263
67 years, male, NA, stage:3, dead, 270 days
125.7
DO48697
64 years, female, NA, stage:2, dead, 810 days
121.8
DO45193
68 years, female, NA, stage:4, dead, 120 days
121.7
DO23537
79 years, male, NA, stage:2, dead, 900 days
119.2
DO45287
74 years, male, NA, stage:1, alive, 390 days
112.9
DO45297
61 years, female, NA, stage:4, dead, 1260 days
103.2
DO50844
75 years, male, NA, stage:4, alive, 300 days
97.7
DO23523
52 years, male, NA, stage:3, alive, 1080 days
93.8
DO45301
56 years, male, NA, stage:2, dead, 1440 days
92.4
DO45155
69 years, male, NA, stage:2, alive, 2160 days
88.4
DO45251
57 years, female, NA, stage:2, alive, 900 days
80.2
DO48682
72 years, female, NA, stage:3, dead, 120 days
78.3
DO45279
67 years, male, NA, stage:3, alive, 1290 days
73.9
DO45249
57 years, male, NA, stage:1, alive, 630 days
59.7
DO45209
70 years, male, NA, stage:4, alive, 1350 days
57.8
DO48747
62 years, male, NA, stage:3, alive, 540 days
50.9
DO45189
85 years, female, NA, stage:2, alive, 1200 days
43.7
DO45211
76 years, male, NA, stage:3, alive, 240 days
42.6
DO45303
62 years, female, NA, stage:3, alive, 990 days
42.1
DO45289
78 years, female, NA, stage:3, alive, 360 days
19.9
DO45305
66 years, male, NA, stage:4, alive, 300 days
14.7
DO45259
65 years, male, NA, stage:3, alive, 330 days
13.6
DO45285
59 years, male, NA, stage:3, alive, 480 days
11.9
DO45307
54 years, female, NA, stage:4, dead, 240 days
11.4
DO45299
70 years, female, NA, stage:1, alive, 1440 days
1.9
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
465
Tumor
0.8
127
Tumor
0.7
128
Normal
0.6
161
Tumor
0.6
212
Normal
0.6
715
Tumor
0.6
1026
Normal
0.5
423
Tumor
0.5
567
Tumor
0.5
113
Tumor
0.5
746
Normal
0.5
742
Normal
0.5
755
Tumor
0.5
436
Normal
0.5
132
Normal
0.5
422
Normal
0.5
416
Normal
0.5
914
Normal
0.5
515
Tumor
0.5
342
Normal
0.4
267
Tumor
0.4
222
Normal
0.4
366
Normal
0.4
435
Tumor
0.4
862
Normal
0.4
278
Normal
0.4
214
Normal
0.4
878
Normal
0.4
427
Tumor
0.4
272
Normal
0.4
1022
Normal
0.4
911
Tumor
0.4
741
Tumor
0.4
196
Normal
0.4
955
Tumor
0.4
648
Normal
0.4
482
Normal
0.4
114
Normal
0.4
698
Normal
0.4
976
Normal
0.4
615
Tumor
0.4
744
Normal
0.4
874
Normal
0.4
616
Normal
0.4
112
Tumor
0.3
111
Normal
0.3
362
Normal
0.3
816
Normal
0.3
864
Normal
0.3
298
Normal
0.3
258
Normal
0.3
867
Tumor
0.3
738
Normal
0.3
728
Normal
0.3
618
Normal
0.3
756
Normal
0.3
546
Normal
0.3
956
Normal
0.3
172
Normal
0.3
723
Tumor
0.3
824
Normal
0.3
432
Normal
0.3
663
Tumor
0.3
924
Normal
0.3
228
Normal
0.3
857
Tumor
0.3
312
Normal
0.3
356
Normal
0.3
627
Tumor
0.3
146
Normal
0.3
1042
Normal
0.3
327
Tumor
0.3
954
Normal
0.3
1044
Normal
0.3
714
Normal
0.3
188
Normal
0.3
393
Tumor
0.3
685
Tumor
0.3
428
Normal
0.3
938
Normal
0.3
695
Tumor
0.3
448
Normal
0.3
262
Normal
0.3
466
Normal
0.3
364
Normal
0.3
617
Tumor
0.3
388
Normal
0.2
722
Normal
0.2
414
Normal
0.2
474
Normal
0.2
456
Normal
0.2
1041
Tumor
0.2
952
Normal
0.2
426
Normal
0.2
866
Normal
0.2
472
Normal
0.2
424
Normal
0.2
922
Normal
0.2
162
Normal
0.2
944
Normal
0.2
484
Normal
0.2
138
Normal
0.2
818
Normal
0.2
147
Tumor
0.2
745
Tumor
0.2
314
Normal
0.2
982
Normal
0.2
284
Normal
0.2
852
Normal
0.2
376
Normal
0.2
525
Tumor
0.2
915
Tumor
0.2
358
Normal
0.2
518
Normal
0.2
882
Normal
0.2
1045
Tumor
0.2
534
Normal
0.2
868
Normal
0.2
786
Normal
0.2
477
Tumor
0.2
858
Normal
0.2
628
Normal
0.2
412
Normal
0.2
148
Normal
0.2
462
Normal
0.2
884
Normal
0.2
1032
Normal
0.1
394
Normal
0.1
268
Normal
0.1
332
Normal
0.1
354
Normal
0.1
662
Normal
0.1
461
Tumor
0.1
452
Normal
0.1
415
Tumor
0.1
386
Normal
0.1
1016
Normal
0.1
136
Normal
0.1
232
Normal
0.1
666
Normal
0.1
186
Normal
0.1
664
Normal
0.1
918
Normal
0.1
958
Normal
0.1
865
Tumor
0.1
328
Normal
0.1
642
Normal
0.1
716
Normal
0.1
1046
Normal
0.1
353
Tumor
0.1
483
Tumor
0.1
568
Normal
0.1
434
Normal
0.1
192
Normal
0.1
468
Normal
0.1
126
Normal
0.1
514
Normal
0.1
396
Normal
0.1
1028
Normal
0.1
344
Normal
0.1
696
Normal
0.1
913
Tumor
0.1
516
Normal
0.0
564
Normal
0.0
912
Normal
0.0
481
Tumor
0.0
572
Normal
0.0
533
Tumor
0.0
926
Normal
0.0
478
Normal
0.0
964
Normal
0.0
916
Normal
0.0
494
Normal
0.0
978
Normal
0.0
446
Normal
0.0
286
Normal
0.0
686
Normal
0.0
1043
Tumor
0.0
464
Normal
0.0
391
Tumor
0.0
488
Normal
0.0
141
Tumor
0.0
966
Normal
-0.1
571
Tumor
-0.1
873
Tumor
-0.1
968
Normal
-0.1
142
Normal
-0.1
384
Normal
-0.1
574
Normal
-0.1
1014
Normal
-0.1
636
Normal
-0.1
365
Tumor
-0.1
444
Normal
-0.1
538
Normal
-0.1
498
Normal
-0.1
352
Normal
-0.1
218
Normal
-0.1
257
Tumor
-0.2
526
Normal
-0.2
445
Tumor
-0.2
224
Normal
-0.2
558
Normal
-0.2
528
Normal
-0.2
451
Tumor
-0.2
368
Normal
-0.2
493
Tumor
-0.2
392
Normal
-0.2
357
Tumor
-0.2
227
Tumor
-0.2
977
Tumor
-0.2
1013
Tumor
-0.2
672
Normal
-0.2
341
Tumor
-0.2
777
Tumor
-0.2
778
Normal
-0.2
124
Normal
-0.3
492
Normal
-0.3
231
Tumor
-0.3
984
Normal
-0.3
953
Tumor
-0.3
433
Tumor
-0.3
145
Tumor
-0.3
563
Tumor
-0.4
185
Tumor
-0.4
375
Tumor
-0.4
923
Tumor
-0.4
361
Tumor
-0.4
921
Tumor
-0.4
554
Normal
-0.4
137
Tumor
-0.4
355
Tumor
-0.4
413
Tumor
-0.4
863
Tumor
-0.4
721
Tumor
-0.4
861
Tumor
-0.4
411
Tumor
-0.4
171
Tumor
-0.5
641
Tumor
-0.5
713
Tumor
-0.5
573
Tumor
-0.5
883
Tumor
-0.5
963
Tumor
-0.5
785
Tumor
-0.5
421
Tumor
-0.5
981
Tumor
-0.5
1027
Tumor
-0.5
647
Tumor
-0.5
925
Tumor
-0.5
313
Tumor
-0.5
187
Tumor
-0.5
487
Tumor
-0.6
513
Tumor
-0.6
537
Tumor
-0.6
261
Tumor
-0.6
431
Tumor
-0.6
635
Tumor
-0.6
665
Tumor
-0.7
443
Tumor
-0.7
536
Normal
-0.7
213
Tumor
-0.7
517
Tumor
-0.7
223
Tumor
-0.7
217
Tumor
-0.8
724
Normal
-0.8
473
Tumor
-0.8
557
Tumor
-0.8
965
Tumor
-0.8
191
Tumor
-0.8
471
Tumor
-0.8
1025
Tumor
-0.8
363
Tumor
-0.8
367
Tumor
-0.8
123
Tumor
-0.8
823
Tumor
-0.8
195
Tumor
-0.9
814
Normal
-0.9
967
Tumor
-0.9
851
Tumor
-0.9
135
Tumor
-0.9
1021
Tumor
-0.9
297
Tumor
-0.9
395
Tumor
-0.9
447
Tumor
-0.9
727
Tumor
-0.9
285
Tumor
-0.9
1031
Tumor
-1.0
697
Tumor
-1.0
881
Tumor
-1.0
277
Tumor
-1.0
221
Tumor
-1.0
271
Tumor
-1.1
351
Tumor
-1.1
943
Tumor
-1.1
524
Normal
-1.1
383
Tumor
-1.1
553
Tumor
-1.1
877
Tumor
-1.1
975
Tumor
-1.1
737
Tumor
-1.1
817
Tumor
-1.1
311
Tumor
-1.1
425
Tumor
-1.2
951
Tumor
-1.2
957
Tumor
-1.2
937
Tumor
-1.3
917
Tumor
-1.3
491
Tumor
-1.3
455
Tumor
-1.3
385
Tumor
-1.3
527
Tumor
-1.4
467
Tumor
-1.4
671
Tumor
-1.4
387
Tumor
-1.4
1015
Tumor
-1.4
535
Tumor
-1.4
497
Tumor
-1.4
523
Tumor
-1.5
331
Tumor
-1.5
463
Tumor
-1.5
815
Tumor
-1.5
983
Tumor
-1.5
283
Tumor
-1.6
813
Tumor
-1.7
125
Tumor
-1.7
545
Tumor
-1.7
211
Tumor
-1.8
661
Tumor
-1.9
343
Tumor
-2.0
131
Tumor
-2.0
743
Tumor
-2.3
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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.