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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.
IL32 is not prognostic in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
1075.4
Number of samples
362
Samples
Sample
Description
TPM
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
8624.5
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
8363.2
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
8036.7
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
5636.2
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
4853.8
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
4452.5
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
4358.8
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
4205.4
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
3996.8
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
3745.8
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
3540.9
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
3518.1
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
3361.7
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
3343.4
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
3255.4
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
3249.8
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
3204.5
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
3164.0
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
3103.8
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
3034.6
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
2820.8
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
2776.5
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
2734.6
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
2633.8
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
2626.0
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
2587.0
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
2582.2
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
2577.6
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
2554.6
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
2499.0
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
2493.7
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
2482.9
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
2428.6
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
2368.6
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
2354.3
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
2346.2
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
2324.0
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
2313.4
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
2302.4
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
2254.2
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
2247.8
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
2199.4
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
2178.4
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
2157.4
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
2155.1
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
2137.7
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
2106.9
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
2096.3
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
2072.9
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
2044.4
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
2008.2
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1995.5
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1980.3
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
1977.4
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
1963.4
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1955.0
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
1931.3
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1919.2
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
1897.4
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1894.1
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
1808.1
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1801.3
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1784.7
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
1777.3
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1746.3
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
1740.9
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1740.4
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1716.7
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
1712.9
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1700.5
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1678.0
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
1676.7
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
1674.6
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
1622.0
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
1613.8
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1582.9
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1575.6
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
1562.0
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1556.6
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
1486.2
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
1484.7
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1467.3
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1443.0
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1440.5
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1432.4
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
1411.3
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
1386.9
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1344.0
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
1337.7
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
1318.3
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
1315.5
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1302.6
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1296.9
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
1286.2
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1285.8
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1272.5
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1260.5
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
1235.3
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
1233.2
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1228.3
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1220.3
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
1215.8
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
1213.4
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1207.7
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1193.7
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
1183.5
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
1173.6
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1171.2
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1155.6
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
1150.7
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1150.5
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1138.7
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
1108.3
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
1100.5
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
1095.5
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1087.4
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
1063.1
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1062.8
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
1060.3
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1053.8
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1043.9
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
1038.0
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
1033.5
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
1031.9
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1017.8
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1017.7
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1011.8
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
990.6
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
988.8
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
988.3
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
985.8
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
982.9
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
981.7
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
975.1
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
971.0
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
970.8
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
969.2
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
960.5
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
959.3
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
956.5
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
949.9
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
944.4
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
940.8
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
927.9
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
926.8
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
924.7
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
924.7
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
924.1
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
920.7
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
919.1
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
906.4
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
901.5
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
895.4
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
891.5
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
885.7
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
879.2
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
873.3
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
867.6
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
863.9
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
856.1
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
856.0
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
855.3
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
855.1
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
854.7
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
843.6
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
842.0
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
813.3
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
812.3
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
798.3
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
798.2
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
794.0
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
779.1
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
778.0
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
768.3
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
761.5
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
756.5
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
753.1
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
752.5
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
741.7
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
738.5
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
717.8
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
715.2
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
712.5
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
711.8
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
710.2
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
704.2
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
702.8
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
700.3
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
693.3
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
689.6
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
688.1
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
685.7
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
681.1
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
674.9
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
671.8
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
656.5
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
650.7
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
644.6
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
643.0
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
640.7
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
638.6
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
636.1
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
635.6
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
632.0
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
630.6
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
627.9
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
626.3
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
623.7
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
622.2
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
618.9
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
614.1
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
611.8
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
610.9
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
609.6
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
605.1
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
604.0
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
587.5
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
585.1
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
584.2
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
569.0
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
561.3
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
557.9
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
557.7
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
554.8
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
554.1
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
550.8
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
549.7
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
549.6
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
546.9
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
542.6
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
541.8
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
530.0
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
528.5
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
527.0
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
525.8
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
525.8
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
520.7
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
513.2
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
501.7
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
492.2
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
490.8
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
482.5
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
481.3
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
478.3
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
477.3
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
476.6
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
473.4
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
472.3
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
471.3
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
471.0
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
469.0
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
468.8
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
468.6
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
467.7
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
461.9
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
449.5
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
448.0
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
446.2
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
445.9
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
444.5
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
434.9
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
434.2
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
432.5
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
427.1
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
426.8
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
425.2
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
420.9
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
415.8
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
414.6
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
414.4
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
412.4
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
411.5
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
402.1
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
400.3
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
395.2
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
390.8
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
389.8
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
388.1
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
386.2
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
385.2
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
384.7
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
382.1
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
379.4
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
371.6
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
371.3
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
367.7
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
356.9
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
350.5
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
350.1
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
343.9
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
343.7
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
339.4
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
336.5
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
332.1
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
327.1
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
325.1
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
320.3
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
314.2
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
310.6
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
304.8
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
304.0
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
290.6
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
284.3
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
276.9
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
276.4
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
271.7
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
268.0
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
264.8
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
260.4
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
251.9
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
250.6
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
248.8
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
244.6
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
243.1
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
242.7
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
242.3
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
239.6
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
239.2
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
227.8
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
227.8
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
227.7
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
224.5
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
222.3
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
220.0
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
216.2
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
214.1
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
210.5
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
209.9
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
198.8
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
191.6
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
191.2
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
191.2
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
188.4
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
184.1
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
183.3
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
183.2
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
181.8
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
171.1
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
160.1
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
155.5
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
149.8
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
146.5
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
136.2
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
135.5
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
133.5
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
121.4
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
109.6
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
102.6
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
95.8
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
93.9
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
88.3
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
79.6
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
77.0
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
73.4
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
63.4
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
61.6
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
55.6
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
53.6
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
49.5
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
49.5
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
43.9
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 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.
IL32 is not prognostic in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
620.1
Number of samples
231
Samples
Sample
Description
TPM
DO50803
62 years, female, NA, stage:1, alive, 540 days
2749.1
DO50805
72 years, male, NA, stage:2, alive, 690 days
2558.2
DO45099
46 years, male, NA, stage:3, alive, 1590 days
2337.5
DO23518
67 years, male, NA, stage:2, alive, 1320 days
2250.8
DO45109
63 years, male, NA, stage:2, alive, 1590 days
2226.0
DO50845
72 years, male, NA, stage:3, alive, 210 days
2147.5
DO50813
56 years, male, NA, stage:2, alive, 420 days
2070.5
DO23549
74 years, male, NA, stage:3, alive, 990 days
1952.7
DO45137
38 years, male, NA, stage:1, alive, 1320 days
1940.6
DO227801
77 years, female, NA, stage:1, alive, 660 days
1929.3
DO48700
78 years, female, NA, stage:2, alive, 810 days
1835.9
DO50840
49 years, male, NA, stage:2, alive, 330 days
1708.6
DO23546
63 years, male, NA, stage:2, alive, 1050 days
1697.0
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1567.7
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1543.1
DO45221
75 years, female, NA, stage:4, dead, 390 days
1473.6
DO45167
67 years, male, NA, stage:2, dead, 1440 days
1460.4
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1458.0
DO23544
67 years, male, NA, stage:2, alive, 960 days
1442.1
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1424.6
DO50791
79 years, female, NA, stage:1, dead, 480 days
1352.9
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1334.6
DO45201
49 years, male, NA, stage:1, alive, 900 days
1324.4
DO48733
72 years, male, NA, stage:2, alive, 600 days
1279.2
DO45101
63 years, male, NA, stage:2, alive, 1680 days
1261.3
DO48723
73 years, male, NA, stage:1, alive, 600 days
1237.7
DO48704
68 years, female, NA, stage:3, alive, 750 days
1236.8
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1233.7
DO48695
77 years, male, NA, stage:2, alive, 720 days
1223.5
DO23512
60 years, male, NA, stage:1, alive, 1260 days
1220.6
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1209.6
DO45103
47 years, male, NA, stage:3, alive, 450 days
1193.0
DO48732
73 years, male, NA, stage:3, alive, 630 days
1188.3
DO45257
46 years, male, NA, stage:3, alive, 810 days
1183.0
DO23543
63 years, male, NA, stage:2, alive, 1020 days
1167.8
DO45261
74 years, male, NA, stage:3, alive, 990 days
1143.3
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1133.6
DO48759
73 years, male, NA, stage:3, alive, 720 days
1129.4
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1119.8
DO50783
62 years, male, NA, stage:3, alive, 480 days
1090.4
DO45253
50 years, male, NA, stage:2, alive, 870 days
1076.0
DO50787
63 years, male, NA, stage:3, alive, 480 days
1039.8
DO50800
74 years, male, NA, stage:2, alive, 510 days
1024.1
DO23541
65 years, male, NA, stage:2, alive, 930 days
986.8
DO23510
80 years, female, NA, stage:2, alive, 870 days
968.6
DO45115
81 years, male, NA, stage:2, alive, 840 days
967.8
DO227643
79 years, male, NA, stage:2, alive, 1260 days
918.8
DO50807
67 years, male, NA, stage:1, alive, 540 days
918.6
DO23548
78 years, female, NA, stage:1, alive, 840 days
907.7
DO45277
64 years, male, NA, stage:3, alive, 600 days
900.2
DO48743
69 years, female, NA, stage:2, alive, 570 days
878.8
DO45135
77 years, male, NA, stage:1, alive, 1410 days
877.5
DO45285
59 years, male, NA, stage:3, alive, 480 days
874.3
DO50850
74 years, male, NA, stage:3, alive, 720 days
834.7
DO23551
73 years, male, NA, stage:3, dead, 150 days
831.3
DO50808
68 years, male, NA, stage:2, alive, 570 days
824.9
DO50785
37 years, male, NA, stage:4, dead, 90 days
806.5
DO45199
86 years, female, NA, stage:2, alive, 1350 days
803.3
DO48716
71 years, male, NA, stage:2, alive, 720 days
800.8
DO45111
74 years, male, NA, stage:2, alive, 1590 days
800.5
DO45091
56 years, male, NA, stage:2, dead, 1320 days
795.1
DO45169
74 years, male, NA, stage:3, alive, 1350 days
790.2
DO50776
75 years, male, NA, stage:1, alive, 690 days
788.6
DO45303
62 years, female, NA, stage:3, alive, 990 days
785.4
DO45093
71 years, male, NA, stage:2, dead, 720 days
783.6
DO45305
66 years, male, NA, stage:4, alive, 300 days
773.8
DO50798
77 years, male, NA, stage:3, dead, 30 days
766.3
DO48693
71 years, male, NA, stage:2, alive, 900 days
764.0
DO45225
69 years, male, NA, stage:1, alive, 1050 days
753.5
DO23527
72 years, male, NA, stage:1, alive, 1050 days
751.0
DO45273
62 years, male, NA, stage:2, alive, 480 days
749.9
DO23536
56 years, male, NA, stage:2, alive, 930 days
747.7
DO45163
76 years, male, NA, stage:2, alive, 960 days
741.9
DO45287
74 years, male, NA, stage:1, alive, 390 days
740.5
DO45119
74 years, male, NA, stage:3, dead, 510 days
731.2
DO45235
68 years, female, NA, stage:1, alive, 900 days
730.9
DO45207
68 years, male, NA, stage:1, alive, 1050 days
721.4
DO50819
72 years, female, NA, stage:2, alive, 510 days
717.1
DO50809
56 years, male, NA, stage:3, dead, 720 days
702.9
DO50832
73 years, male, NA, stage:3, alive, 90 days
702.7
DO50817
75 years, male, NA, stage:2, alive, 390 days
702.7
DO23540
73 years, male, NA, stage:1, alive, 750 days
669.4
DO48742
76 years, male, NA, stage:2, alive, 600 days
667.2
DO23525
71 years, male, NA, stage:4, alive, 1050 days
666.3
DO45139
63 years, male, NA, stage:3, alive, 1320 days
655.3
DO23533
61 years, male, NA, stage:2, alive, 900 days
652.5
DO45094
76 years, male, NA, stage:3, alive, 1650 days
640.6
DO48761
55 years, male, NA, stage:2, alive, 870 days
635.7
DO45255
81 years, male, NA, stage:3, alive, 720 days
614.9
DO23519
65 years, male, NA, stage:3, alive, 630 days
612.6
DO50806
70 years, male, NA, stage:4, alive, 540 days
611.6
DO48712
50 years, male, NA, stage:2, alive, 810 days
603.5
DO23535
67 years, male, NA, stage:1, alive, 960 days
578.8
DO45223
67 years, male, NA, stage:4, alive, 1020 days
567.5
DO23547
74 years, male, NA, stage:1, alive, 1020 days
566.6
DO45263
67 years, male, NA, stage:3, dead, 270 days
566.0
DO45131
53 years, male, NA, stage:4, dead, 360 days
557.9
DO45267
73 years, male, NA, stage:3, dead, 570 days
555.0
DO48747
62 years, male, NA, stage:3, alive, 540 days
553.3
DO45195
62 years, male, NA, stage:1, alive, 390 days
546.0
DO23528
45 years, female, NA, stage:2, alive, 1020 days
544.1
DO45301
56 years, male, NA, stage:2, dead, 1440 days
539.7
DO45289
78 years, female, NA, stage:3, alive, 360 days
536.9
DO45177
81 years, female, NA, stage:3, alive, 1260 days
531.7
DO48725
66 years, male, NA, stage:1, alive, 780 days
519.9
DO45249
57 years, male, NA, stage:1, alive, 630 days
514.1
DO45097
69 years, male, NA, stage:3, alive, 1620 days
508.2
DO45121
61 years, male, NA, stage:3, alive, 1530 days
508.2
DO45219
78 years, male, NA, stage:2, alive, 1080 days
506.4
DO45243
74 years, female, NA, stage:3, alive, 930 days
505.5
DO23542
66 years, male, NA, stage:3, alive, 960 days
501.0
DO45092
62 years, male, NA, stage:4, dead, 1200 days
497.8
DO23514
64 years, male, NA, stage:2, alive, 1290 days
496.6
DO45213
58 years, male, NA, stage:1, alive, 1200 days
496.2
DO50818
65 years, male, NA, stage:2, alive, 510 days
476.4
DO48727
81 years, female, NA, stage:2, dead, 390 days
472.0
DO48728
74 years, female, NA, stage:2, alive, 150 days
469.4
DO45185
89 years, male, NA, stage:2, alive, 600 days
469.3
DO50822
66 years, male, NA, stage:2, alive, 510 days
464.5
DO45181
84 years, female, NA, stage:2, alive, 1200 days
462.6
DO48697
64 years, female, NA, stage:2, dead, 810 days
461.9
DO45096
69 years, male, NA, stage:2, dead, 1290 days
460.7
DO45145
78 years, male, NA, stage:3, dead, 60 days
447.5
DO23550
69 years, male, NA, stage:1, alive, 990 days
439.0
DO23526
66 years, male, NA, stage:3, alive, 1050 days
431.8
DO48737
52 years, male, NA, stage:1, alive, 720 days
427.2
DO48736
76 years, female, NA, stage:1, alive, 600 days
424.1
DO50829
78 years, male, NA, stage:3, alive, 570 days
422.0
DO45165
75 years, male, NA, stage:2, alive, 690 days
421.5
DO50811
62 years, male, NA, stage:1, alive, 450 days
416.9
DO45149
70 years, female, NA, stage:2, alive, 1260 days
416.0
DO48701
78 years, male, NA, stage:2, alive, 780 days
412.2
DO45161
74 years, male, NA, stage:2, dead, 540 days
405.7
DO50816
63 years, male, NA, stage:2, alive, 390 days
389.3
DO45233
83 years, male, NA, stage:3, alive, 900 days
388.6
DO23530
53 years, male, NA, stage:4, dead, 180 days
382.5
DO50825
70 years, male, NA, stage:2, alive, 390 days
379.3
DO45129
61 years, male, NA, stage:3, alive, 1470 days
369.4
DO50804
81 years, male, NA, stage:2, alive, 720 days
368.4
DO23545
67 years, male, NA, stage:2, dead, 570 days
368.2
DO45215
65 years, male, NA, stage:2, alive, 1170 days
365.0
DO45123
78 years, female, NA, stage:2, dead, 570 days
348.4
DO50859
77 years, male, NA, stage:2, alive, 180 days
336.0
DO48720
62 years, female, NA, stage:2, alive, 570 days
326.5
DO45179
78 years, female, NA, stage:2, alive, 600 days
326.4
DO45155
69 years, male, NA, stage:2, alive, 2160 days
326.3
DO48717
54 years, male, NA, stage:4, dead, 180 days
325.9
DO45171
56 years, male, NA, stage:3, alive, 600 days
322.3
DO45279
67 years, male, NA, stage:3, alive, 1290 days
320.8
DO45275
65 years, male, NA, stage:3, dead, 10 days
320.4
DO48741
64 years, male, NA, stage:3, alive, 240 days
317.9
DO45231
84 years, male, NA, stage:2, alive, 930 days
317.1
DO48730
73 years, female, NA, stage:2, alive, 630 days
315.4
DO45105
61 years, male, NA, stage:1, alive, 1680 days
310.8
DO48672
81 years, male, NA, stage:2, alive, 450 days
309.8
DO45307
54 years, female, NA, stage:4, dead, 240 days
303.2
DO23521
63 years, male, NA, stage:3, alive, 1110 days
302.6
DO23532
71 years, female, NA, stage:1, alive, 960 days
298.4
DO50778
60 years, male, NA, stage:4, alive, 630 days
296.9
DO50857
72 years, male, NA, stage:2, alive, 210 days
288.1
DO45239
42 years, male, NA, stage:2, alive, 870 days
287.4
DO50789
73 years, female, NA, stage:2, alive, 570 days
286.9
DO23531
78 years, female, NA, stage:3, alive, 900 days
285.3
DO45107
63 years, female, NA, stage:2, alive, 1710 days
283.5
DO45229
74 years, male, NA, stage:1, alive, 990 days
280.5
DO45251
57 years, female, NA, stage:2, alive, 900 days
277.0
DO23508
79 years, female, NA, stage:2, alive, 390 days
274.1
DO50793
76 years, male, NA, stage:4, alive, 540 days
272.7
DO50774
68 years, female, NA, stage:2, alive, 720 days
270.2
DO48760
70 years, female, NA, stage:2, alive, 690 days
258.2
DO45227
57 years, female, NA, stage:2, alive, 1020 days
257.4
DO48746
76 years, male, NA, stage:3, alive, 570 days
255.0
DO45297
61 years, female, NA, stage:4, dead, 1260 days
253.6
DO50802
49 years, male, NA, stage:2, alive, 930 days
252.7
DO23524
71 years, female, NA, stage:2, alive, 1050 days
251.4
DO48719
80 years, male, NA, stage:2, alive, 690 days
244.7
DO45217
69 years, female, NA, stage:3, dead, 270 days
243.8
DO50814
83 years, male, NA, stage:3, alive, 420 days
221.0
DO50839
47 years, female, NA, stage:3, alive, 330 days
220.1
DO45191
61 years, female, NA, stage:2, alive, 1200 days
215.3
DO45299
70 years, female, NA, stage:1, alive, 1440 days
212.2
DO48751
68 years, male, NA, stage:2, dead, 480 days
209.1
DO23537
79 years, male, NA, stage:2, dead, 900 days
208.2
DO45203
71 years, female, NA, stage:2, alive, 1170 days
206.9
DO45133
64 years, male, NA, stage:3, dead, 660 days
205.3
DO45173
63 years, male, NA, stage:3, alive, 1170 days
205.1
DO45269
59 years, male, NA, stage:3, alive, 750 days
204.6
DO45175
74 years, male, NA, stage:2, alive, 1140 days
194.4
DO23511
83 years, female, NA, stage:3, dead, 180 days
186.5
DO45113
58 years, male, NA, stage:3, alive, 1560 days
184.0
DO48682
72 years, female, NA, stage:3, dead, 120 days
179.2
DO50799
66 years, female, NA, stage:2, alive, 540 days
174.0
DO23538
67 years, male, NA, stage:2, alive, 450 days
169.4
DO23534
60 years, male, NA, stage:2, alive, 840 days
166.9
DO45205
67 years, female, NA, stage:2, dead, 90 days
165.5
DO48677
58 years, male, NA, stage:3, alive, 1140 days
151.6
DO48721
58 years, female, NA, stage:1, alive, 900 days
150.0
DO45117
73 years, female, NA, stage:2, dead, 1110 days
148.4
DO23515
71 years, male, NA, stage:2, alive, 1230 days
147.4
DO23552
80 years, female, NA, stage:1, alive, 810 days
132.9
DO48757
68 years, female, NA, stage:3, alive, 480 days
130.3
DO50820
77 years, female, NA, stage:3, alive, 510 days
122.3
DO50815
62 years, male, NA, stage:3, alive, 150 days
120.5
DO23517
62 years, male, NA, stage:2, alive, 1200 days
118.6
DO45259
65 years, male, NA, stage:3, alive, 330 days
117.9
DO23529
72 years, male, NA, stage:4, alive, 930 days
116.1
DO50855
47 years, male, NA, stage:2, alive, 570 days
114.6
DO45281
83 years, male, NA, stage:4, alive, 750 days
108.4
DO23509
60 years, male, NA, stage:3, dead, 780 days
103.7
DO45265
73 years, male, NA, stage:3, alive, 1020 days
103.6
DO23513
76 years, male, NA, stage:3, alive, 1200 days
101.8
DO45283
60 years, male, NA, stage:3, alive, 510 days
99.7
DO48715
58 years, female, NA, stage:2, dead, 690 days
91.7
DO23516
69 years, male, NA, stage:3, dead, 20 days
90.3
DO23523
52 years, male, NA, stage:3, alive, 1080 days
89.0
DO45183
72 years, female, NA, stage:2, dead, 570 days
86.2
DO45247
31 years, female, NA, stage:2, alive, 210 days
85.3
DO48674
80 years, male, NA, stage:2, alive, 1260 days
83.1
DO45187
32 years, female, NA, stage:1, alive, 1260 days
81.6
DO45211
76 years, male, NA, stage:3, alive, 240 days
79.1
DO45127
73 years, male, NA, stage:3, dead, 420 days
78.7
DO45197
51 years, male, NA, stage:2, alive, 1170 days
54.7
DO45193
68 years, female, NA, stage:4, dead, 120 days
50.0
DO45245
75 years, female, NA, stage:2, dead, 240 days
48.5
DO45125
58 years, male, NA, stage:3, alive, 1680 days
41.6
DO45209
70 years, male, NA, stage:4, alive, 1350 days
36.7
DO45237
58 years, male, NA, stage:2, alive, 900 days
36.2
DO45189
85 years, female, NA, stage:2, alive, 1200 days
35.5
DO50844
75 years, male, NA, stage:4, alive, 300 days
35.5
DO48706
72 years, male, NA, stage:2, alive, 870 days
23.9
DO48681
57 years, male, NA, stage:2, alive, 900 days
13.6
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
533
Tumor
5.2
857
Tumor
4.3
191
Tumor
4.1
267
Tumor
3.8
741
Tumor
3.8
1041
Tumor
3.8
145
Tumor
3.6
415
Tumor
3.6
525
Tumor
3.5
1045
Tumor
3.3
913
Tumor
2.9
911
Tumor
2.3
375
Tumor
2.2
427
Tumor
2.1
672
Normal
1.9
925
Tumor
1.8
873
Tumor
1.6
617
Tumor
1.5
661
Tumor
1.4
662
Normal
1.4
223
Tumor
1.3
666
Normal
1.3
443
Tumor
1.2
664
Normal
1.1
477
Tumor
1.0
297
Tumor
1.0
663
Tumor
0.9
648
Normal
0.9
1013
Tumor
0.9
471
Tumor
0.9
535
Tumor
0.8
493
Tumor
0.8
665
Tumor
0.7
671
Tumor
0.6
383
Tumor
0.5
755
Tumor
0.4
268
Normal
0.4
187
Tumor
0.3
528
Normal
0.3
563
Tumor
0.2
445
Tumor
0.2
823
Tumor
0.1
534
Normal
0.1
351
Tumor
0.1
526
Normal
0.1
361
Tumor
0.0
146
Normal
-0.1
573
Tumor
-0.1
912
Normal
-0.1
135
Tumor
-0.1
1021
Tumor
-0.1
975
Tumor
-0.2
858
Normal
-0.2
192
Normal
-0.2
527
Tumor
-0.2
867
Tumor
-0.2
546
Normal
-0.2
851
Tumor
-0.2
721
Tumor
-0.3
195
Tumor
-0.3
538
Normal
-0.3
951
Tumor
-0.3
937
Tumor
-0.4
554
Normal
-0.4
385
Tumor
-0.4
926
Normal
-0.4
425
Tumor
-0.4
647
Tumor
-0.5
411
Tumor
-0.5
483
Tumor
-0.6
545
Tumor
-0.6
395
Tumor
-0.6
451
Tumor
-0.6
376
Normal
-0.6
537
Tumor
-0.6
553
Tumor
-0.6
231
Tumor
-0.6
557
Tumor
-0.7
467
Tumor
-0.7
213
Tumor
-0.8
478
Normal
-0.8
365
Tumor
-0.8
455
Tumor
-0.8
368
Normal
-0.8
724
Normal
-0.8
685
Tumor
-0.8
1015
Tumor
-0.8
141
Tumor
-0.9
881
Tumor
-0.9
214
Normal
-0.9
387
Tumor
-0.9
1031
Tumor
-0.9
571
Tumor
-0.9
513
Tumor
-1.0
465
Tumor
-1.0
217
Tumor
-1.0
883
Tumor
-1.0
221
Tumor
-1.0
884
Normal
-1.0
523
Tumor
-1.0
433
Tumor
-1.1
327
Tumor
-1.1
123
Tumor
-1.1
138
Normal
-1.1
137
Tumor
-1.1
277
Tumor
-1.1
311
Tumor
-1.1
1025
Tumor
-1.1
142
Normal
-1.2
474
Normal
-1.2
1014
Normal
-1.2
817
Tumor
-1.2
882
Normal
-1.2
353
Tumor
-1.2
861
Tumor
-1.2
956
Normal
-1.2
428
Normal
-1.2
218
Normal
-1.2
196
Normal
-1.3
472
Normal
-1.3
262
Normal
-1.3
343
Tumor
-1.3
366
Normal
-1.3
738
Normal
-1.3
852
Normal
-1.3
943
Tumor
-1.3
312
Normal
-1.3
413
Tumor
-1.3
416
Normal
-1.3
641
Tumor
-1.3
132
Normal
-1.4
955
Tumor
-1.4
362
Normal
-1.4
161
Tumor
-1.4
461
Tumor
-1.4
423
Tumor
-1.4
952
Normal
-1.4
136
Normal
-1.4
431
Tumor
-1.4
367
Tumor
-1.4
1046
Normal
-1.4
421
Tumor
-1.4
877
Tumor
-1.4
113
Tumor
-1.4
271
Tumor
-1.5
878
Normal
-1.5
874
Normal
-1.5
715
Tumor
-1.5
953
Tumor
-1.5
818
Normal
-1.5
524
Normal
-1.5
481
Tumor
-1.5
938
Normal
-1.5
977
Tumor
-1.5
384
Normal
-1.5
515
Tumor
-1.5
697
Tumor
-1.5
446
Normal
-1.5
482
Normal
-1.6
222
Normal
-1.6
261
Tumor
-1.6
728
Normal
-1.6
355
Tumor
-1.6
434
Normal
-1.6
816
Normal
-1.6
713
Tumor
-1.6
824
Normal
-1.6
494
Normal
-1.6
1043
Tumor
-1.6
916
Normal
-1.6
923
Tumor
-1.6
126
Normal
-1.6
514
Normal
-1.7
984
Normal
-1.7
224
Normal
-1.7
447
Tumor
-1.7
228
Normal
-1.7
516
Normal
-1.7
1044
Normal
-1.7
868
Normal
-1.7
963
Tumor
-1.7
744
Normal
-1.7
567
Tumor
-1.8
492
Normal
-1.8
422
Normal
-1.8
212
Normal
-1.8
978
Normal
-1.8
917
Tumor
-1.8
981
Tumor
-1.8
615
Tumor
-1.8
723
Tumor
-1.8
473
Tumor
-1.8
1028
Normal
-1.8
462
Normal
-1.8
695
Tumor
-1.8
227
Tumor
-1.8
188
Normal
-1.9
915
Tumor
-1.9
257
Tumor
-1.9
954
Normal
-1.9
444
Normal
-1.9
518
Normal
-1.9
737
Tumor
-1.9
921
Tumor
-1.9
232
Normal
-1.9
536
Normal
-1.9
352
Normal
-1.9
258
Normal
-1.9
944
Normal
-1.9
627
Tumor
-2.0
436
Normal
-2.0
918
Normal
-2.0
722
Normal
-2.0
131
Tumor
-2.0
1032
Normal
-2.0
272
Normal
-2.0
983
Tumor
-2.0
286
Normal
-2.0
922
Normal
-2.0
185
Tumor
-2.0
957
Tumor
-2.0
112
Tumor
-2.0
344
Normal
-2.1
815
Tumor
-2.1
284
Normal
-2.1
328
Normal
-2.1
393
Tumor
-2.1
278
Normal
-2.1
412
Normal
-2.1
498
Normal
-2.1
127
Tumor
-2.1
716
Normal
-2.1
356
Normal
-2.1
332
Normal
-2.1
487
Tumor
-2.1
1022
Normal
-2.1
696
Normal
-2.2
1016
Normal
-2.2
331
Tumor
-2.2
364
Normal
-2.2
432
Normal
-2.2
714
Normal
-2.2
976
Normal
-2.2
686
Normal
-2.2
488
Normal
-2.2
924
Normal
-2.2
448
Normal
-2.3
426
Normal
-2.3
354
Normal
-2.3
358
Normal
-2.3
363
Tumor
-2.3
424
Normal
-2.3
171
Tumor
-2.3
982
Normal
-2.3
966
Normal
-2.3
968
Normal
-2.3
727
Tumor
-2.3
342
Normal
-2.4
484
Normal
-2.4
1026
Normal
-2.4
211
Tumor
-2.4
392
Normal
-2.4
357
Tumor
-2.4
517
Tumor
-2.4
965
Tumor
-2.5
491
Tumor
-2.5
148
Normal
-2.5
618
Normal
-2.5
125
Tumor
-2.5
396
Normal
-2.5
298
Normal
-2.5
785
Tumor
-2.5
414
Normal
-2.5
558
Normal
-2.5
814
Normal
-2.5
114
Normal
-2.6
124
Normal
-2.6
497
Tumor
-2.6
314
Normal
-2.6
283
Tumor
-2.6
698
Normal
-2.6
866
Normal
-2.6
862
Normal
-2.6
743
Tumor
-2.6
756
Normal
-2.6
386
Normal
-2.6
111
Normal
-2.6
864
Normal
-2.6
863
Tumor
-2.6
967
Tumor
-2.6
172
Normal
-2.7
285
Tumor
-2.7
162
Normal
-2.7
628
Normal
-2.7
464
Normal
-2.7
313
Tumor
-2.7
964
Normal
-2.8
777
Tumor
-2.8
456
Normal
-2.8
468
Normal
-2.8
466
Normal
-2.8
147
Tumor
-2.8
186
Normal
-2.9
778
Normal
-2.9
341
Tumor
-2.9
463
Tumor
-2.9
435
Tumor
-2.9
388
Normal
-2.9
452
Normal
-2.9
958
Normal
-2.9
786
Normal
-3.0
564
Normal
-3.0
574
Normal
-3.0
128
Normal
-3.0
1027
Tumor
-3.0
616
Normal
-3.1
635
Tumor
-3.1
865
Tumor
-3.1
745
Tumor
-3.1
642
Normal
-3.2
572
Normal
-3.2
568
Normal
-3.3
813
Tumor
-3.3
394
Normal
-3.3
391
Tumor
-3.3
636
Normal
-3.3
742
Normal
-3.5
746
Normal
-3.8
1042
Normal
-4.6
914
Normal
-6.8
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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.