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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.
SPINK1 is not prognostic in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
1523.3
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
15953.0
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
15361.1
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
14603.0
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
13389.4
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
11849.7
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
10328.6
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
10084.3
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
9778.4
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
8954.9
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
8772.0
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
8718.1
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
8599.9
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
7437.1
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
7436.7
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
7303.8
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
7001.4
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
6902.7
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
6679.0
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
6525.5
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
6360.1
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
6279.0
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
6234.2
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
6099.7
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
6081.1
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
6046.2
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
5957.4
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
5957.1
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
5924.6
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
5824.9
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
5818.2
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
5689.1
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
5663.3
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
5268.7
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
5177.5
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
5077.0
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
5046.1
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
5035.7
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
4813.0
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
4812.1
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
4731.6
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
4529.9
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
4255.2
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
3900.6
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
3859.1
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
3834.0
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
3810.4
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
3763.6
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
3587.5
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
3494.7
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
3454.5
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
3394.4
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
3171.9
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
3167.0
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
3111.5
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
3105.1
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
2968.1
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
2964.6
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
2950.6
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
2944.9
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
2932.7
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
2931.0
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
2926.3
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
2894.4
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
2852.0
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
2838.6
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
2807.4
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
2806.3
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
2781.7
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
2753.0
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
2749.6
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
2724.8
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
2677.0
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
2630.8
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
2609.8
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
2588.3
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
2525.8
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
2516.6
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
2502.5
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
2470.7
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
2463.6
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
2400.5
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
2395.9
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
2381.8
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
2258.6
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
2249.0
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
2211.4
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
2149.5
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
2054.8
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
1990.3
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1933.1
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
1927.9
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1885.9
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1853.9
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
1843.5
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
1821.0
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
1799.2
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
1775.9
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
1733.9
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1700.5
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
1677.5
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
1647.2
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1640.8
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
1589.8
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
1574.0
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1524.1
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1506.8
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
1497.0
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1452.8
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
1440.7
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
1435.6
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
1416.8
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
1416.7
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
1399.6
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
1380.3
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
1371.6
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
1323.6
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1303.8
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1253.1
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
1242.2
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1241.8
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
1220.2
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
1212.2
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1209.9
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1163.2
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
1159.5
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
1141.4
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1121.5
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1099.3
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
1072.1
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1063.8
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
1023.0
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
993.3
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
991.0
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
973.9
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
973.8
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
963.2
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
957.7
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
940.8
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
935.7
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
929.1
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
927.9
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
920.4
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
874.8
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
857.5
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
848.0
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
840.4
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
829.4
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
792.1
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
760.4
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
731.1
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
716.7
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
703.7
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
696.0
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
688.3
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
675.0
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
615.7
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
610.2
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
609.7
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
599.9
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
597.4
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
584.6
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
576.7
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
564.6
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
525.1
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
521.9
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
520.8
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
516.6
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
506.6
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
466.1
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
453.6
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
453.1
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
440.8
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
429.5
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
399.0
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
367.0
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
364.5
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
359.2
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
355.5
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
354.0
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
322.0
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
319.6
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
313.9
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
305.1
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
292.6
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
291.2
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
289.0
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
286.3
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
280.5
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
280.2
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
271.7
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
269.3
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
247.4
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
237.0
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
236.8
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
226.8
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
222.5
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
211.5
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
209.7
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
199.9
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
197.8
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
192.0
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
188.0
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
181.5
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
179.4
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
169.9
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
168.6
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
165.7
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
151.2
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
137.2
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
134.8
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
133.7
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
133.0
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
130.9
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
130.4
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
127.6
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
120.9
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
115.1
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
112.1
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
106.3
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
103.5
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
102.3
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
94.7
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
94.7
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
92.3
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
80.2
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
74.8
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
73.1
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
72.1
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
69.8
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
69.5
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
66.0
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
61.5
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
60.2
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
59.3
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
57.9
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
57.9
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
56.2
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
53.0
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
49.5
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
48.6
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
46.9
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
45.3
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
42.7
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
41.9
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
41.1
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
41.0
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
41.0
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
40.2
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
40.2
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
39.0
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
38.2
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
36.1
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
33.7
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
33.5
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
32.6
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
32.3
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
31.7
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
30.3
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
30.2
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
25.8
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
23.8
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
21.6
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
21.0
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
19.0
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
18.8
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
17.5
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
17.0
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
17.0
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
16.2
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
14.2
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
13.9
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
13.3
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
12.9
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
12.9
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
11.9
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
11.8
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
10.5
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
10.1
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
9.8
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
9.8
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
9.7
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
9.5
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
8.8
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
8.8
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
8.6
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
8.5
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
8.5
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
8.5
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
7.6
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
7.4
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
7.3
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
7.1
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
7.0
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
7.0
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
6.8
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
6.7
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
6.6
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
6.3
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
6.2
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
6.2
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
6.0
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
5.8
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
4.5
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
4.5
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
4.5
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
4.4
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
4.3
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
4.2
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
4.1
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
4.0
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
3.7
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
3.6
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
3.4
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
3.4
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
3.2
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
3.2
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
3.2
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
3.1
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
2.8
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
2.7
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
2.5
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
2.4
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
2.3
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
2.1
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
2.1
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
2.0
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
2.0
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1.9
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
1.9
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
1.8
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
1.7
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
1.6
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
1.5
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
1.4
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
1.4
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
1.4
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
1.3
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
1.3
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
1.3
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
1.2
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
1.1
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
1.0
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
0.9
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
0.9
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
0.7
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
0.6
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
0.5
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
0.5
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
0.5
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
0.4
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
0.3
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
0.3
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
0.3
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
0.2
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
0.2
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
0.1
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
0.1
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
0.1
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
0.1
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
0.0
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
0.0
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 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.
SPINK1 is not prognostic in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
1367.6
Number of samples
231
Samples
Sample
Description
pTPM
DO50845
72 years, male, NA, stage:3, alive, 210 days
22649.9
DO48717
54 years, male, NA, stage:4, dead, 180 days
22287.0
DO45127
73 years, male, NA, stage:3, dead, 420 days
9857.5
DO23518
67 years, male, NA, stage:2, alive, 1320 days
8390.2
DO48700
78 years, female, NA, stage:2, alive, 810 days
8021.8
DO50857
72 years, male, NA, stage:2, alive, 210 days
7955.3
DO50815
62 years, male, NA, stage:3, alive, 150 days
6662.2
DO48720
62 years, female, NA, stage:2, alive, 570 days
6422.2
DO50844
75 years, male, NA, stage:4, alive, 300 days
6135.9
DO45241
49 years, male, NA, stage:1, alive, 1080 days
5937.4
DO45183
72 years, female, NA, stage:2, dead, 570 days
5902.7
DO45091
56 years, male, NA, stage:2, dead, 1320 days
5761.3
DO23510
80 years, female, NA, stage:2, alive, 870 days
5695.2
DO45297
61 years, female, NA, stage:4, dead, 1260 days
5512.1
DO45285
59 years, male, NA, stage:3, alive, 480 days
5234.7
DO45165
75 years, male, NA, stage:2, alive, 690 days
4915.4
DO45257
46 years, male, NA, stage:3, alive, 810 days
4791.2
DO45287
74 years, male, NA, stage:1, alive, 390 days
4777.5
DO45119
74 years, male, NA, stage:3, dead, 510 days
4747.2
DO45239
42 years, male, NA, stage:2, alive, 870 days
4594.8
DO45263
67 years, male, NA, stage:3, dead, 270 days
4550.8
DO45092
62 years, male, NA, stage:4, dead, 1200 days
4458.9
DO45161
74 years, male, NA, stage:2, dead, 540 days
4287.6
DO50811
62 years, male, NA, stage:1, alive, 450 days
4098.7
DO45099
46 years, male, NA, stage:3, alive, 1590 days
3930.7
DO50806
70 years, male, NA, stage:4, alive, 540 days
3912.5
DO45125
58 years, male, NA, stage:3, alive, 1680 days
3856.6
DO45265
73 years, male, NA, stage:3, alive, 1020 days
3853.9
DO50776
75 years, male, NA, stage:1, alive, 690 days
3812.9
DO48736
76 years, female, NA, stage:1, alive, 600 days
3678.9
DO45289
78 years, female, NA, stage:3, alive, 360 days
3573.6
DO23515
71 years, male, NA, stage:2, alive, 1230 days
3162.4
DO45135
77 years, male, NA, stage:1, alive, 1410 days
2915.2
DO48728
74 years, female, NA, stage:2, alive, 150 days
2911.5
DO48730
73 years, female, NA, stage:2, alive, 630 days
2814.8
DO48733
72 years, male, NA, stage:2, alive, 600 days
2771.6
DO45173
63 years, male, NA, stage:3, alive, 1170 days
2626.4
DO45277
64 years, male, NA, stage:3, alive, 600 days
2538.9
DO45251
57 years, female, NA, stage:2, alive, 900 days
2468.8
DO45153
77 years, female, NA, stage:2, alive, 1380 days
2463.8
DO45199
86 years, female, NA, stage:2, alive, 1350 days
2436.4
DO23552
80 years, female, NA, stage:1, alive, 810 days
2346.5
DO45157
62 years, male, NA, stage:2, alive, 1980 days
2335.8
DO45217
69 years, female, NA, stage:3, dead, 270 days
2282.0
DO45139
63 years, male, NA, stage:3, alive, 1320 days
2272.2
DO227801
77 years, female, NA, stage:1, alive, 660 days
2205.3
DO45191
61 years, female, NA, stage:2, alive, 1200 days
2167.3
DO50850
74 years, male, NA, stage:3, alive, 720 days
1874.9
DO23524
71 years, female, NA, stage:2, alive, 1050 days
1854.0
DO48681
57 years, male, NA, stage:2, alive, 900 days
1849.6
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1841.3
DO45103
47 years, male, NA, stage:3, alive, 450 days
1797.9
DO48725
66 years, male, NA, stage:1, alive, 780 days
1740.4
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1731.8
DO45121
61 years, male, NA, stage:3, alive, 1530 days
1707.6
DO50803
62 years, female, NA, stage:1, alive, 540 days
1704.5
DO45283
60 years, male, NA, stage:3, alive, 510 days
1554.8
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1550.9
DO45245
75 years, female, NA, stage:2, dead, 240 days
1511.6
DO50829
78 years, male, NA, stage:3, alive, 570 days
1458.0
DO45231
84 years, male, NA, stage:2, alive, 930 days
1453.6
DO45275
65 years, male, NA, stage:3, dead, 10 days
1449.9
DO23519
65 years, male, NA, stage:3, alive, 630 days
1439.2
DO23508
79 years, female, NA, stage:2, alive, 390 days
1426.0
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1415.3
DO23527
72 years, male, NA, stage:1, alive, 1050 days
1410.9
DO50793
76 years, male, NA, stage:4, alive, 540 days
1406.8
DO48761
55 years, male, NA, stage:2, alive, 870 days
1270.7
DO48747
62 years, male, NA, stage:3, alive, 540 days
1262.0
DO48751
68 years, male, NA, stage:2, dead, 480 days
1254.9
DO45273
62 years, male, NA, stage:2, alive, 480 days
1248.9
DO50825
70 years, male, NA, stage:2, alive, 390 days
1241.3
DO48697
64 years, female, NA, stage:2, dead, 810 days
1237.9
DO45221
75 years, female, NA, stage:4, dead, 390 days
1128.6
DO23543
63 years, male, NA, stage:2, alive, 1020 days
1106.1
DO45301
56 years, male, NA, stage:2, dead, 1440 days
1075.2
DO45113
58 years, male, NA, stage:3, alive, 1560 days
1054.0
DO45179
78 years, female, NA, stage:2, alive, 600 days
1012.5
DO23525
71 years, male, NA, stage:4, alive, 1050 days
994.5
DO45094
76 years, male, NA, stage:3, alive, 1650 days
985.2
DO45243
74 years, female, NA, stage:3, alive, 930 days
984.9
DO23516
69 years, male, NA, stage:3, dead, 20 days
921.2
DO45223
67 years, male, NA, stage:4, alive, 1020 days
869.5
DO48737
52 years, male, NA, stage:1, alive, 720 days
864.8
DO23545
67 years, male, NA, stage:2, dead, 570 days
787.1
DO50799
66 years, female, NA, stage:2, alive, 540 days
779.9
DO45189
85 years, female, NA, stage:2, alive, 1200 days
747.9
DO48679
72 years, male, NA, stage:2, alive, 1200 days
738.6
DO45213
58 years, male, NA, stage:1, alive, 1200 days
687.3
DO48746
76 years, male, NA, stage:3, alive, 570 days
684.8
DO50809
56 years, male, NA, stage:3, dead, 720 days
683.6
DO45109
63 years, male, NA, stage:2, alive, 1590 days
640.2
DO45131
53 years, male, NA, stage:4, dead, 360 days
608.8
DO45279
67 years, male, NA, stage:3, alive, 1290 days
602.3
DO48701
78 years, male, NA, stage:2, alive, 780 days
600.2
DO45159
65 years, male, NA, stage:3, alive, 1470 days
594.3
DO23550
69 years, male, NA, stage:1, alive, 990 days
581.5
DO50839
47 years, female, NA, stage:3, alive, 330 days
548.2
DO50789
73 years, female, NA, stage:2, alive, 570 days
525.4
DO50820
77 years, female, NA, stage:3, alive, 510 days
522.3
DO50774
68 years, female, NA, stage:2, alive, 720 days
515.7
DO45269
59 years, male, NA, stage:3, alive, 750 days
503.6
DO45145
78 years, male, NA, stage:3, dead, 60 days
497.1
DO48704
68 years, female, NA, stage:3, alive, 750 days
489.8
DO23541
65 years, male, NA, stage:2, alive, 930 days
466.9
DO50800
74 years, male, NA, stage:2, alive, 510 days
459.5
DO48743
69 years, female, NA, stage:2, alive, 570 days
450.4
DO45307
54 years, female, NA, stage:4, dead, 240 days
418.6
DO50805
72 years, male, NA, stage:2, alive, 690 days
406.6
DO45237
58 years, male, NA, stage:2, alive, 900 days
402.3
DO23511
83 years, female, NA, stage:3, dead, 180 days
399.7
DO23512
60 years, male, NA, stage:1, alive, 1260 days
392.2
DO23526
66 years, male, NA, stage:3, alive, 1050 days
382.1
DO23535
67 years, male, NA, stage:1, alive, 960 days
357.2
DO23547
74 years, male, NA, stage:1, alive, 1020 days
328.9
DO48732
73 years, male, NA, stage:3, alive, 630 days
315.3
DO48706
72 years, male, NA, stage:2, alive, 870 days
305.5
DO45299
70 years, female, NA, stage:1, alive, 1440 days
298.9
DO45185
89 years, male, NA, stage:2, alive, 600 days
287.7
DO50791
79 years, female, NA, stage:1, dead, 480 days
284.6
DO23546
63 years, male, NA, stage:2, alive, 1050 days
281.0
DO50808
68 years, male, NA, stage:2, alive, 570 days
268.6
DO48760
70 years, female, NA, stage:2, alive, 690 days
260.2
DO50819
72 years, female, NA, stage:2, alive, 510 days
250.0
DO45141
73 years, male, NA, stage:2, alive, 1320 days
240.8
DO45267
73 years, male, NA, stage:3, dead, 570 days
236.4
DO23513
76 years, male, NA, stage:3, alive, 1200 days
227.0
DO23540
73 years, male, NA, stage:1, alive, 750 days
225.3
DO50787
63 years, male, NA, stage:3, alive, 480 days
220.2
DO45149
70 years, female, NA, stage:2, alive, 1260 days
200.0
DO45255
81 years, male, NA, stage:3, alive, 720 days
199.6
DO45096
69 years, male, NA, stage:2, dead, 1290 days
175.1
DO45107
63 years, female, NA, stage:2, alive, 1710 days
166.9
DO45193
68 years, female, NA, stage:4, dead, 120 days
157.8
DO227643
79 years, male, NA, stage:2, alive, 1260 days
150.2
DO48715
58 years, female, NA, stage:2, dead, 690 days
144.2
DO50778
60 years, male, NA, stage:4, alive, 630 days
143.6
DO45205
67 years, female, NA, stage:2, dead, 90 days
140.0
DO48721
58 years, female, NA, stage:1, alive, 900 days
125.5
DO23539
77 years, male, NA, stage:1, alive, 1110 days
120.4
DO23544
67 years, male, NA, stage:2, alive, 960 days
120.4
DO50813
56 years, male, NA, stage:2, alive, 420 days
110.4
DO50783
62 years, male, NA, stage:3, alive, 480 days
107.3
DO48716
71 years, male, NA, stage:2, alive, 720 days
103.9
DO48723
73 years, male, NA, stage:1, alive, 600 days
101.9
DO50804
81 years, male, NA, stage:2, alive, 720 days
83.8
DO48741
64 years, male, NA, stage:3, alive, 240 days
72.7
DO45261
74 years, male, NA, stage:3, alive, 990 days
71.8
DO50832
73 years, male, NA, stage:3, alive, 90 days
70.6
DO45177
81 years, female, NA, stage:3, alive, 1260 days
69.4
DO45117
73 years, female, NA, stage:2, dead, 1110 days
68.9
DO50822
66 years, male, NA, stage:2, alive, 510 days
66.7
DO23530
53 years, male, NA, stage:4, dead, 180 days
66.2
DO45215
65 years, male, NA, stage:2, alive, 1170 days
65.6
DO45305
66 years, male, NA, stage:4, alive, 300 days
60.0
DO45187
32 years, female, NA, stage:1, alive, 1260 days
59.9
DO48712
50 years, male, NA, stage:2, alive, 810 days
59.4
DO50807
67 years, male, NA, stage:1, alive, 540 days
49.8
DO50802
49 years, male, NA, stage:2, alive, 930 days
47.0
DO50840
49 years, male, NA, stage:2, alive, 330 days
42.8
DO45137
38 years, male, NA, stage:1, alive, 1320 days
38.8
DO45249
57 years, male, NA, stage:1, alive, 630 days
36.4
DO23548
78 years, female, NA, stage:1, alive, 840 days
32.2
DO23517
62 years, male, NA, stage:2, alive, 1200 days
28.1
DO45233
83 years, male, NA, stage:3, alive, 900 days
27.2
DO45207
68 years, male, NA, stage:1, alive, 1050 days
27.2
DO45227
57 years, female, NA, stage:2, alive, 1020 days
24.3
DO50814
83 years, male, NA, stage:3, alive, 420 days
20.7
DO45235
68 years, female, NA, stage:1, alive, 900 days
20.1
DO45197
51 years, male, NA, stage:2, alive, 1170 days
19.2
DO48742
76 years, male, NA, stage:2, alive, 600 days
14.5
DO50798
77 years, male, NA, stage:3, dead, 30 days
13.9
DO23549
74 years, male, NA, stage:3, alive, 990 days
12.8
DO45123
78 years, female, NA, stage:2, dead, 570 days
12.7
DO45105
61 years, male, NA, stage:1, alive, 1680 days
12.4
DO23536
56 years, male, NA, stage:2, alive, 930 days
11.7
DO45093
71 years, male, NA, stage:2, dead, 720 days
11.4
DO50785
37 years, male, NA, stage:4, dead, 90 days
9.8
DO45303
62 years, female, NA, stage:3, alive, 990 days
9.4
DO23551
73 years, male, NA, stage:3, dead, 150 days
9.1
DO50818
65 years, male, NA, stage:2, alive, 510 days
9.1
DO45129
61 years, male, NA, stage:3, alive, 1470 days
8.9
DO45259
65 years, male, NA, stage:3, alive, 330 days
7.7
DO23528
45 years, female, NA, stage:2, alive, 1020 days
6.8
DO45229
74 years, male, NA, stage:1, alive, 990 days
6.4
DO45169
74 years, male, NA, stage:3, alive, 1350 days
6.0
DO45247
31 years, female, NA, stage:2, alive, 210 days
5.9
DO45281
83 years, male, NA, stage:4, alive, 750 days
5.8
DO23529
72 years, male, NA, stage:4, alive, 930 days
5.2
DO23533
61 years, male, NA, stage:2, alive, 900 days
4.5
DO48759
73 years, male, NA, stage:3, alive, 720 days
4.3
DO45155
69 years, male, NA, stage:2, alive, 2160 days
4.2
DO48695
77 years, male, NA, stage:2, alive, 720 days
4.1
DO45115
81 years, male, NA, stage:2, alive, 840 days
3.3
DO23532
71 years, female, NA, stage:1, alive, 960 days
3.1
DO45111
74 years, male, NA, stage:2, alive, 1590 days
3.1
DO23509
60 years, male, NA, stage:3, dead, 780 days
2.6
DO48757
68 years, female, NA, stage:3, alive, 480 days
2.6
DO23538
67 years, male, NA, stage:2, alive, 450 days
2.6
DO23534
60 years, male, NA, stage:2, alive, 840 days
2.5
DO48682
72 years, female, NA, stage:3, dead, 120 days
2.4
DO48674
80 years, male, NA, stage:2, alive, 1260 days
2.4
DO45171
56 years, male, NA, stage:3, alive, 600 days
2.4
DO45211
76 years, male, NA, stage:3, alive, 240 days
2.2
DO48693
71 years, male, NA, stage:2, alive, 900 days
2.1
DO45097
69 years, male, NA, stage:3, alive, 1620 days
2.1
DO48719
80 years, male, NA, stage:2, alive, 690 days
1.8
DO45195
62 years, male, NA, stage:1, alive, 390 days
1.8
DO45101
63 years, male, NA, stage:2, alive, 1680 days
1.7
DO45181
84 years, female, NA, stage:2, alive, 1200 days
1.6
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1.4
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1.3
DO45203
71 years, female, NA, stage:2, alive, 1170 days
1.1
DO23542
66 years, male, NA, stage:3, alive, 960 days
1.0
DO48677
58 years, male, NA, stage:3, alive, 1140 days
0.9
DO50859
77 years, male, NA, stage:2, alive, 180 days
0.7
DO45201
49 years, male, NA, stage:1, alive, 900 days
0.6
DO48672
81 years, male, NA, stage:2, alive, 450 days
0.6
DO50817
75 years, male, NA, stage:2, alive, 390 days
0.6
DO45209
70 years, male, NA, stage:4, alive, 1350 days
0.6
DO48727
81 years, female, NA, stage:2, dead, 390 days
0.5
DO45253
50 years, male, NA, stage:2, alive, 870 days
0.4
DO23523
52 years, male, NA, stage:3, alive, 1080 days
0.4
DO50855
47 years, male, NA, stage:2, alive, 570 days
0.2
DO45175
74 years, male, NA, stage:2, alive, 1140 days
0.2
DO23531
78 years, female, NA, stage:3, alive, 900 days
0.2
DO50816
63 years, male, NA, stage:2, alive, 390 days
0.2
DO45133
64 years, male, NA, stage:3, dead, 660 days
0.2
DO23537
79 years, male, NA, stage:2, dead, 900 days
0.2
DO45163
76 years, male, NA, stage:2, alive, 960 days
0.1
DO45167
67 years, male, NA, stage:2, dead, 1440 days
0.0
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
697
Tumor
3.4
823
Tumor
3.3
937
Tumor
3.1
865
Tumor
3.1
385
Tumor
3.0
527
Tumor
2.9
223
Tumor
2.6
737
Tumor
2.5
497
Tumor
2.4
473
Tumor
2.1
285
Tumor
2.0
425
Tumor
1.8
745
Tumor
1.8
975
Tumor
1.7
375
Tumor
1.7
617
Tumor
1.6
351
Tumor
1.6
353
Tumor
1.6
1015
Tumor
1.5
191
Tumor
1.5
557
Tumor
1.4
1021
Tumor
1.4
135
Tumor
1.3
363
Tumor
1.2
957
Tumor
1.2
965
Tumor
1.1
467
Tumor
1.1
857
Tumor
1.1
1043
Tumor
1.0
851
Tumor
0.8
545
Tumor
0.8
535
Tumor
0.7
721
Tumor
0.7
221
Tumor
0.7
573
Tumor
0.7
395
Tumor
0.7
727
Tumor
0.6
661
Tumor
0.6
523
Tumor
0.6
443
Tumor
0.5
383
Tumor
0.5
1025
Tumor
0.4
983
Tumor
0.4
224
Normal
0.4
663
Tumor
0.3
863
Tumor
0.3
867
Tumor
0.3
755
Tumor
0.2
195
Tumor
0.2
671
Tumor
0.2
1016
Normal
0.2
493
Tumor
0.1
1013
Tumor
0.1
217
Tumor
0.1
963
Tumor
0.1
873
Tumor
0.1
283
Tumor
0.1
123
Tumor
0.1
738
Normal
0.1
286
Normal
0.1
455
Tumor
0.0
517
Tumor
0.0
331
Tumor
0.0
647
Tumor
0.0
563
Tumor
0.0
147
Tumor
0.0
332
Normal
-0.1
664
Normal
-0.1
463
Tumor
-0.1
361
Tumor
-0.1
413
Tumor
-0.1
938
Normal
-0.2
777
Tumor
-0.2
145
Tumor
-0.2
951
Tumor
-0.2
528
Normal
-0.2
665
Tumor
-0.2
341
Tumor
-0.3
228
Normal
-0.3
387
Tumor
-0.3
343
Tumor
-0.3
494
Normal
-0.3
491
Tumor
-0.3
982
Normal
-0.4
415
Tumor
-0.4
943
Tumor
-0.4
391
Tumor
-0.4
866
Normal
-0.4
427
Tumor
-0.4
877
Tumor
-0.4
977
Tumor
-0.4
864
Normal
-0.4
277
Tumor
-0.5
868
Normal
-0.5
554
Normal
-0.5
862
Normal
-0.5
447
Tumor
-0.5
386
Normal
-0.5
213
Tumor
-0.6
746
Normal
-0.6
352
Normal
-0.6
482
Normal
-0.6
284
Normal
-0.6
171
Tumor
-0.6
297
Tumor
-0.6
976
Normal
-0.7
488
Normal
-0.7
861
Tumor
-0.7
1027
Tumor
-0.7
212
Normal
-0.7
468
Normal
-0.7
218
Normal
-0.7
1014
Normal
-0.7
923
Tumor
-0.7
874
Normal
-0.7
342
Normal
-0.7
421
Tumor
-0.7
472
Normal
-0.7
141
Tumor
-0.7
534
Normal
-0.8
955
Tumor
-0.8
483
Tumor
-0.8
161
Tumor
-0.8
978
Normal
-0.8
484
Normal
-0.9
513
Tumor
-0.9
817
Tumor
-0.9
487
Tumor
-0.9
354
Normal
-0.9
227
Tumor
-0.9
492
Normal
-0.9
433
Tumor
-0.9
471
Tumor
-0.9
984
Normal
-0.9
358
Normal
-0.9
824
Normal
-0.9
546
Normal
-0.9
958
Normal
-0.9
533
Tumor
-0.9
257
Tumor
-1.0
313
Tumor
-1.0
465
Tumor
-1.0
813
Tumor
-1.0
858
Normal
-1.0
474
Normal
-1.0
518
Normal
-1.1
964
Normal
-1.1
344
Normal
-1.1
526
Normal
-1.1
786
Normal
-1.1
756
Normal
-1.2
524
Normal
-1.2
516
Normal
-1.2
376
Normal
-1.2
364
Normal
-1.2
968
Normal
-1.2
187
Tumor
-1.2
146
Normal
-1.2
514
Normal
-1.3
981
Tumor
-1.3
367
Tumor
-1.3
192
Normal
-1.3
456
Normal
-1.3
384
Normal
-1.3
537
Tumor
-1.3
368
Normal
-1.3
953
Tumor
-1.3
356
Normal
-1.3
666
Normal
-1.3
366
Normal
-1.4
944
Normal
-1.4
538
Normal
-1.4
741
Tumor
-1.4
431
Tumor
-1.4
365
Tumor
-1.4
724
Normal
-1.4
525
Tumor
-1.4
357
Tumor
-1.4
778
Normal
-1.4
662
Normal
-1.4
466
Normal
-1.4
814
Normal
-1.5
188
Normal
-1.5
1032
Normal
-1.5
211
Tumor
-1.5
816
Normal
-1.5
393
Tumor
-1.5
477
Tumor
-1.5
444
Normal
-1.5
952
Normal
-1.5
137
Tumor
-1.5
481
Tumor
-1.5
355
Tumor
-1.5
396
Normal
-1.5
464
Normal
-1.5
136
Normal
-1.5
362
Normal
-1.5
966
Normal
-1.6
515
Tumor
-1.6
954
Normal
-1.6
818
Normal
-1.6
1045
Tumor
-1.6
571
Tumor
-1.6
478
Normal
-1.6
553
Tumor
-1.7
392
Normal
-1.7
452
Normal
-1.7
451
Tumor
-1.7
728
Normal
-1.7
394
Normal
-1.8
558
Normal
-1.8
785
Tumor
-1.8
416
Normal
-1.8
461
Tumor
-1.8
967
Tumor
-1.8
742
Normal
-1.8
648
Normal
-1.8
1041
Tumor
-1.8
917
Tumor
-1.9
743
Tumor
-1.9
298
Normal
-2.0
723
Tumor
-2.0
852
Normal
-2.0
132
Normal
-2.0
138
Normal
-2.0
536
Normal
-2.0
278
Normal
-2.1
328
Normal
-2.1
956
Normal
-2.1
314
Normal
-2.1
172
Normal
-2.1
1026
Normal
-2.1
412
Normal
-2.1
448
Normal
-2.1
1046
Normal
-2.2
744
Normal
-2.2
567
Tumor
-2.2
113
Tumor
-2.2
311
Tumor
-2.2
196
Normal
-2.2
434
Normal
-2.3
312
Normal
-2.3
162
Normal
-2.3
214
Normal
-2.3
436
Normal
-2.3
722
Normal
-2.3
881
Tumor
-2.3
232
Normal
-2.4
636
Normal
-2.4
446
Normal
-2.4
112
Tumor
-2.4
327
Tumor
-2.4
267
Tumor
-2.4
1042
Normal
-2.4
635
Tumor
-2.4
125
Tumor
-2.4
918
Normal
-2.5
715
Tumor
-2.5
131
Tumor
-2.5
627
Tumor
-2.5
574
Normal
-2.5
231
Tumor
-2.6
435
Tumor
-2.6
883
Tumor
-2.6
148
Normal
-2.7
1022
Normal
-2.7
462
Normal
-2.7
1028
Normal
-2.7
498
Normal
-2.8
127
Tumor
-2.8
696
Normal
-2.8
913
Tumor
-2.8
128
Normal
-2.8
432
Normal
-2.8
1031
Tumor
-2.9
185
Tumor
-2.9
272
Normal
-2.9
564
Normal
-3.0
445
Tumor
-3.0
114
Normal
-3.0
388
Normal
-3.0
815
Tumor
-3.0
1044
Normal
-3.0
258
Normal
-3.1
262
Normal
-3.1
916
Normal
-3.1
414
Normal
-3.1
261
Tumor
-3.1
111
Normal
-3.2
925
Tumor
-3.2
422
Normal
-3.3
615
Tumor
-3.3
186
Normal
-3.3
126
Normal
-3.3
268
Normal
-3.3
713
Tumor
-3.3
922
Normal
-3.4
424
Normal
-3.5
572
Normal
-3.5
915
Tumor
-3.5
716
Normal
-3.6
926
Normal
-3.6
882
Normal
-3.8
921
Tumor
-3.8
884
Normal
-3.8
911
Tumor
-3.9
924
Normal
-3.9
568
Normal
-4.0
642
Normal
-4.0
912
Normal
-4.0
672
Normal
-4.1
641
Tumor
-4.1
271
Tumor
-4.2
714
Normal
-4.2
628
Normal
-4.2
914
Normal
-4.2
695
Tumor
-4.5
685
Tumor
-4.5
423
Tumor
-4.7
616
Normal
-4.8
686
Normal
-4.9
142
Normal
-5.2
411
Tumor
-5.3
222
Normal
-7.5
878
Normal
-10.5
698
Normal
-12.8
428
Normal
-12.9
124
Normal
N/A
618
Normal
N/A
426
Normal
N/A
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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.