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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.
CFB is not prognostic in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 1.63
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.0074
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.
51%
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.
41%
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
1256.7
Number of samples
362
Samples
Sample
Description
TPM
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
8280.8
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
7204.9
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
5259.9
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
4832.2
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
4442.4
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
3967.5
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
3963.2
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
3863.5
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
3763.6
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
3727.2
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
3587.6
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
3579.7
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
3573.5
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
3532.2
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
3444.4
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
3378.5
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
3192.7
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
3187.3
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
3120.1
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
3048.5
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
3012.7
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
2990.1
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
2986.4
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
2981.4
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
2960.6
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
2942.9
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
2879.7
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
2831.5
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
2762.4
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
2754.4
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
2694.2
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
2669.6
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
2633.3
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
2619.3
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
2609.1
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
2536.1
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
2525.0
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
2460.5
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
2459.1
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
2440.2
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
2426.8
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
2398.9
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
2377.4
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
2361.9
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
2308.9
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
2303.5
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
2273.7
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
2258.2
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
2254.7
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
2231.1
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
2213.9
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
2151.7
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
2135.9
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
2123.5
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
2107.5
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
2106.1
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
2084.0
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
2065.6
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
2061.3
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
2056.4
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
2027.4
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
2002.0
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
1987.9
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
1985.6
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
1974.1
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1968.7
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
1949.4
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
1945.7
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
1943.2
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1933.9
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1919.3
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1904.3
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
1837.7
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1831.9
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1829.7
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1816.7
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
1783.4
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
1782.9
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
1782.6
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1775.8
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1766.6
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1764.4
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1757.2
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
1736.7
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
1726.7
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1715.0
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
1692.4
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1692.3
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1673.7
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
1671.5
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
1653.0
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1652.1
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1650.1
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
1647.5
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
1633.9
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
1621.0
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
1615.2
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
1593.9
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
1583.6
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
1582.3
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
1577.1
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
1548.3
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1543.8
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1540.5
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1534.7
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
1528.2
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1501.5
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1490.3
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
1482.1
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1477.7
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1465.8
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
1437.8
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1433.9
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
1431.5
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1428.0
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1424.8
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1411.6
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1409.2
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
1407.8
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1390.2
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1358.9
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
1358.1
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
1344.0
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
1336.5
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
1329.9
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
1326.2
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
1326.2
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
1317.6
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
1315.5
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
1294.0
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1293.4
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1284.8
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1280.4
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
1266.8
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1262.1
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
1257.9
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
1241.1
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1239.7
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
1239.2
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
1238.6
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
1238.1
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1230.5
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
1223.7
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
1223.5
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
1211.5
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
1207.1
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1201.6
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
1194.3
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
1190.1
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1188.5
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1187.4
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1182.8
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1180.0
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
1175.6
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1171.2
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
1162.1
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
1161.1
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1154.3
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1150.3
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
1143.0
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1139.3
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
1135.0
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
1126.1
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
1126.0
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
1110.9
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
1105.3
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
1097.1
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
1095.4
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
1088.5
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
1087.8
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
1086.9
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
1081.2
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
1076.4
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
1071.6
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
1069.1
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
1064.9
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1060.9
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1060.6
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
1056.7
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
1054.8
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
1016.9
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1016.1
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1010.9
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
1004.0
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
1002.7
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1001.6
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
998.9
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
995.6
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
990.8
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
989.8
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
979.6
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
977.8
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
975.9
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
973.8
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
970.8
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
962.6
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
961.3
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
960.4
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
954.7
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
952.7
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
950.8
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
943.9
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
942.6
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
940.0
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
938.7
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
936.4
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
932.3
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
924.0
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
914.4
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
911.6
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
897.5
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
892.7
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
879.3
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
876.5
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
871.7
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
870.9
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
856.8
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
851.2
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
849.7
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
849.4
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
845.1
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
837.7
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
823.7
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
823.2
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
821.0
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
813.0
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
812.8
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
811.2
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
809.2
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
803.3
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
801.0
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
793.7
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
790.0
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
785.9
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
773.4
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
764.4
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
756.5
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
746.1
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
738.2
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
728.9
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
728.8
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
728.5
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
726.4
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
725.8
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
724.8
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
718.8
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
704.8
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
693.6
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
693.2
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
688.9
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
688.2
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
681.6
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
663.0
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
653.4
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
652.8
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
650.5
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
640.7
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
631.5
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
624.7
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
624.7
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
617.3
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
602.9
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
601.7
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
593.6
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
591.1
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
586.9
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
582.2
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
573.1
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
563.8
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
560.4
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
557.9
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
556.6
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
548.6
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
545.4
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
534.6
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
529.1
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
524.4
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
514.7
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
509.4
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
506.3
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
497.9
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
482.6
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
480.3
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
469.5
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
462.1
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
456.7
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
456.4
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
455.8
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
451.3
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
445.3
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
444.2
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
439.7
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
438.1
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
435.2
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
430.3
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
419.6
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
411.6
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
410.0
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
408.1
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
407.4
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
405.2
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
398.1
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
396.5
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
393.0
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
384.7
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
370.0
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
364.9
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
358.4
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
346.5
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
343.6
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
341.5
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
327.2
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
317.3
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
314.6
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
314.5
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
296.6
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
294.6
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
294.4
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
294.3
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
293.6
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
282.7
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
275.6
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
273.0
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
271.7
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
266.4
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
263.8
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
256.9
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
245.2
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
237.8
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
229.0
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
225.0
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
208.8
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
206.3
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
203.9
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
203.7
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
202.8
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
174.5
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
169.5
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
159.9
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
159.0
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
152.6
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
150.6
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
147.9
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
146.4
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
135.6
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
133.7
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
116.3
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
107.6
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
100.2
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
99.7
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
89.4
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
88.6
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
78.3
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
76.8
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
61.9
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
61.5
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
44.9
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
32.7
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
14.7
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
14.1
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
9.0
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 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.
CFB is potential prognostic, high expression is favorable in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 2.14
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
2.7e-7
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.
74%
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.
0%
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
1267.4
Number of samples
231
Samples
Sample
Description
TPM
DO45199
86 years, female, NA, stage:2, alive, 1350 days
5724.8
DO45091
56 years, male, NA, stage:2, dead, 1320 days
4958.8
DO23550
69 years, male, NA, stage:1, alive, 990 days
4929.2
DO45167
67 years, male, NA, stage:2, dead, 1440 days
3977.9
DO23527
72 years, male, NA, stage:1, alive, 1050 days
3932.2
DO23518
67 years, male, NA, stage:2, alive, 1320 days
3905.9
DO50845
72 years, male, NA, stage:3, alive, 210 days
3739.2
DO48746
76 years, male, NA, stage:3, alive, 570 days
3563.9
DO45094
76 years, male, NA, stage:3, alive, 1650 days
3416.7
DO45241
49 years, male, NA, stage:1, alive, 1080 days
3391.0
DO48723
73 years, male, NA, stage:1, alive, 600 days
3072.2
DO48733
72 years, male, NA, stage:2, alive, 600 days
3018.1
DO48716
71 years, male, NA, stage:2, alive, 720 days
2934.7
DO23512
60 years, male, NA, stage:1, alive, 1260 days
2902.8
DO50811
62 years, male, NA, stage:1, alive, 450 days
2802.6
DO45115
81 years, male, NA, stage:2, alive, 840 days
2727.8
DO45141
73 years, male, NA, stage:2, alive, 1320 days
2553.6
DO45225
69 years, male, NA, stage:1, alive, 1050 days
2485.5
DO48760
70 years, female, NA, stage:2, alive, 690 days
2483.0
DO23516
69 years, male, NA, stage:3, dead, 20 days
2412.9
DO23551
73 years, male, NA, stage:3, dead, 150 days
2409.9
DO45255
81 years, male, NA, stage:3, alive, 720 days
2389.0
DO45111
74 years, male, NA, stage:2, alive, 1590 days
2349.8
DO50798
77 years, male, NA, stage:3, dead, 30 days
2286.2
DO50807
67 years, male, NA, stage:1, alive, 540 days
2284.8
DO45129
61 years, male, NA, stage:3, alive, 1470 days
2278.2
DO48742
76 years, male, NA, stage:2, alive, 600 days
2258.5
DO50819
72 years, female, NA, stage:2, alive, 510 days
2249.8
DO45175
74 years, male, NA, stage:2, alive, 1140 days
2241.8
DO227643
79 years, male, NA, stage:2, alive, 1260 days
2240.8
DO45237
58 years, male, NA, stage:2, alive, 900 days
2219.1
DO50783
62 years, male, NA, stage:3, alive, 480 days
2189.0
DO45257
46 years, male, NA, stage:3, alive, 810 days
2171.6
DO50806
70 years, male, NA, stage:4, alive, 540 days
2156.4
DO45247
31 years, female, NA, stage:2, alive, 210 days
2149.7
DO50818
65 years, male, NA, stage:2, alive, 510 days
2149.5
DO23537
79 years, male, NA, stage:2, dead, 900 days
2093.0
DO50789
73 years, female, NA, stage:2, alive, 570 days
1994.3
DO45261
74 years, male, NA, stage:3, alive, 990 days
1960.2
DO50800
74 years, male, NA, stage:2, alive, 510 days
1952.0
DO48725
66 years, male, NA, stage:1, alive, 780 days
1947.0
DO23528
45 years, female, NA, stage:2, alive, 1020 days
1939.8
DO23548
78 years, female, NA, stage:1, alive, 840 days
1925.9
DO50832
73 years, male, NA, stage:3, alive, 90 days
1922.3
DO45103
47 years, male, NA, stage:3, alive, 450 days
1905.5
DO23544
67 years, male, NA, stage:2, alive, 960 days
1882.2
DO45227
57 years, female, NA, stage:2, alive, 1020 days
1876.9
DO50776
75 years, male, NA, stage:1, alive, 690 days
1864.0
DO23538
67 years, male, NA, stage:2, alive, 450 days
1855.6
DO48672
81 years, male, NA, stage:2, alive, 450 days
1781.9
DO45113
58 years, male, NA, stage:3, alive, 1560 days
1735.8
DO48712
50 years, male, NA, stage:2, alive, 810 days
1710.2
DO45179
78 years, female, NA, stage:2, alive, 600 days
1702.3
DO48677
58 years, male, NA, stage:3, alive, 1140 days
1701.1
DO48704
68 years, female, NA, stage:3, alive, 750 days
1686.0
DO45097
69 years, male, NA, stage:3, alive, 1620 days
1680.5
DO227801
77 years, female, NA, stage:1, alive, 660 days
1646.8
DO23531
78 years, female, NA, stage:3, alive, 900 days
1637.8
DO45231
84 years, male, NA, stage:2, alive, 930 days
1628.1
DO45273
62 years, male, NA, stage:2, alive, 480 days
1619.5
DO23536
56 years, male, NA, stage:2, alive, 930 days
1619.2
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1615.7
DO23529
72 years, male, NA, stage:4, alive, 930 days
1598.9
DO45099
46 years, male, NA, stage:3, alive, 1590 days
1598.3
DO45215
65 years, male, NA, stage:2, alive, 1170 days
1584.4
DO45263
67 years, male, NA, stage:3, dead, 270 days
1577.9
DO45109
63 years, male, NA, stage:2, alive, 1590 days
1570.6
DO50813
56 years, male, NA, stage:2, alive, 420 days
1564.2
DO48674
80 years, male, NA, stage:2, alive, 1260 days
1562.2
DO23532
71 years, female, NA, stage:1, alive, 960 days
1560.5
DO45096
69 years, male, NA, stage:2, dead, 1290 days
1555.1
DO48701
78 years, male, NA, stage:2, alive, 780 days
1541.7
DO50804
81 years, male, NA, stage:2, alive, 720 days
1536.0
DO48693
71 years, male, NA, stage:2, alive, 900 days
1531.0
DO50787
63 years, male, NA, stage:3, alive, 480 days
1520.1
DO48717
54 years, male, NA, stage:4, dead, 180 days
1513.9
DO45203
71 years, female, NA, stage:2, alive, 1170 days
1502.3
DO45161
74 years, male, NA, stage:2, dead, 540 days
1497.1
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1496.0
DO48721
58 years, female, NA, stage:1, alive, 900 days
1490.4
DO45207
68 years, male, NA, stage:1, alive, 1050 days
1438.1
DO23552
80 years, female, NA, stage:1, alive, 810 days
1434.4
DO50803
62 years, female, NA, stage:1, alive, 540 days
1428.2
DO45197
51 years, male, NA, stage:2, alive, 1170 days
1420.8
DO45265
73 years, male, NA, stage:3, alive, 1020 days
1416.0
DO45195
62 years, male, NA, stage:1, alive, 390 days
1412.9
DO50839
47 years, female, NA, stage:3, alive, 330 days
1389.5
DO23517
62 years, male, NA, stage:2, alive, 1200 days
1372.5
DO45229
74 years, male, NA, stage:1, alive, 990 days
1367.1
DO50805
72 years, male, NA, stage:2, alive, 690 days
1363.1
DO48743
69 years, female, NA, stage:2, alive, 570 days
1362.7
DO45181
84 years, female, NA, stage:2, alive, 1200 days
1358.9
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1358.3
DO45117
73 years, female, NA, stage:2, dead, 1110 days
1345.4
DO48759
73 years, male, NA, stage:3, alive, 720 days
1344.7
DO45123
78 years, female, NA, stage:2, dead, 570 days
1327.1
DO45149
70 years, female, NA, stage:2, alive, 1260 days
1316.2
DO45135
77 years, male, NA, stage:1, alive, 1410 days
1297.2
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1275.1
DO45107
63 years, female, NA, stage:2, alive, 1710 days
1256.3
DO23543
63 years, male, NA, stage:2, alive, 1020 days
1247.8
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1236.5
DO48727
81 years, female, NA, stage:2, dead, 390 days
1202.2
DO45105
61 years, male, NA, stage:1, alive, 1680 days
1194.3
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1192.3
DO23534
60 years, male, NA, stage:2, alive, 840 days
1190.8
DO45249
57 years, male, NA, stage:1, alive, 630 days
1182.7
DO50840
49 years, male, NA, stage:2, alive, 330 days
1179.3
DO50774
68 years, female, NA, stage:2, alive, 720 days
1175.4
DO23511
83 years, female, NA, stage:3, dead, 180 days
1167.2
DO50817
75 years, male, NA, stage:2, alive, 390 days
1162.3
DO45187
32 years, female, NA, stage:1, alive, 1260 days
1142.3
DO50822
66 years, male, NA, stage:2, alive, 510 days
1140.4
DO23545
67 years, male, NA, stage:2, dead, 570 days
1138.0
DO23533
61 years, male, NA, stage:2, alive, 900 days
1135.0
DO45201
49 years, male, NA, stage:1, alive, 900 days
1129.7
DO50857
72 years, male, NA, stage:2, alive, 210 days
1127.2
DO48719
80 years, male, NA, stage:2, alive, 690 days
1111.4
DO45221
75 years, female, NA, stage:4, dead, 390 days
1089.0
DO45101
63 years, male, NA, stage:2, alive, 1680 days
1088.8
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1084.4
DO45163
76 years, male, NA, stage:2, alive, 960 days
1079.4
DO45125
58 years, male, NA, stage:3, alive, 1680 days
1075.9
DO45239
42 years, male, NA, stage:2, alive, 870 days
1072.7
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1052.2
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1018.7
DO45235
68 years, female, NA, stage:1, alive, 900 days
1003.3
DO45173
63 years, male, NA, stage:3, alive, 1170 days
994.7
DO45121
61 years, male, NA, stage:3, alive, 1530 days
991.3
DO23510
80 years, female, NA, stage:2, alive, 870 days
955.5
DO50850
74 years, male, NA, stage:3, alive, 720 days
953.9
DO50785
37 years, male, NA, stage:4, dead, 90 days
943.0
DO23549
74 years, male, NA, stage:3, alive, 990 days
928.2
DO48737
52 years, male, NA, stage:1, alive, 720 days
924.2
DO23509
60 years, male, NA, stage:3, dead, 780 days
921.9
DO45233
83 years, male, NA, stage:3, alive, 900 days
912.2
DO48761
55 years, male, NA, stage:2, alive, 870 days
908.0
DO50825
70 years, male, NA, stage:2, alive, 390 days
904.8
DO23514
64 years, male, NA, stage:2, alive, 1290 days
898.5
DO45269
59 years, male, NA, stage:3, alive, 750 days
898.5
DO50814
83 years, male, NA, stage:3, alive, 420 days
883.3
DO45169
74 years, male, NA, stage:3, alive, 1350 days
879.5
DO23541
65 years, male, NA, stage:2, alive, 930 days
878.9
DO48697
64 years, female, NA, stage:2, dead, 810 days
873.3
DO48700
78 years, female, NA, stage:2, alive, 810 days
871.9
DO23524
71 years, female, NA, stage:2, alive, 1050 days
862.6
DO50802
49 years, male, NA, stage:2, alive, 930 days
859.0
DO48695
77 years, male, NA, stage:2, alive, 720 days
829.4
DO45277
64 years, male, NA, stage:3, alive, 600 days
819.5
DO45305
66 years, male, NA, stage:4, alive, 300 days
804.8
DO50859
77 years, male, NA, stage:2, alive, 180 days
802.8
DO48706
72 years, male, NA, stage:2, alive, 870 days
801.2
DO45253
50 years, male, NA, stage:2, alive, 870 days
791.7
DO45119
74 years, male, NA, stage:3, dead, 510 days
760.3
DO23540
73 years, male, NA, stage:1, alive, 750 days
755.5
DO50793
76 years, male, NA, stage:4, alive, 540 days
749.0
DO23535
67 years, male, NA, stage:1, alive, 960 days
742.2
DO50816
63 years, male, NA, stage:2, alive, 390 days
741.5
DO48720
62 years, female, NA, stage:2, alive, 570 days
732.2
DO45155
69 years, male, NA, stage:2, alive, 2160 days
718.2
DO23546
63 years, male, NA, stage:2, alive, 1050 days
717.0
DO45157
62 years, male, NA, stage:2, alive, 1980 days
699.6
DO23539
77 years, male, NA, stage:1, alive, 1110 days
690.1
DO45219
78 years, male, NA, stage:2, alive, 1080 days
687.7
DO50809
56 years, male, NA, stage:3, dead, 720 days
662.4
DO23508
79 years, female, NA, stage:2, alive, 390 days
655.2
DO45137
38 years, male, NA, stage:1, alive, 1320 days
650.4
DO48730
73 years, female, NA, stage:2, alive, 630 days
641.1
DO45145
78 years, male, NA, stage:3, dead, 60 days
635.1
DO23515
71 years, male, NA, stage:2, alive, 1230 days
632.1
DO45289
78 years, female, NA, stage:3, alive, 360 days
623.4
DO48732
73 years, male, NA, stage:3, alive, 630 days
617.9
DO50820
77 years, female, NA, stage:3, alive, 510 days
598.8
DO45191
61 years, female, NA, stage:2, alive, 1200 days
586.7
DO48681
57 years, male, NA, stage:2, alive, 900 days
582.3
DO48741
64 years, male, NA, stage:3, alive, 240 days
555.5
DO48728
74 years, female, NA, stage:2, alive, 150 days
553.7
DO50799
66 years, female, NA, stage:2, alive, 540 days
553.6
DO45223
67 years, male, NA, stage:4, alive, 1020 days
543.0
DO45139
63 years, male, NA, stage:3, alive, 1320 days
541.8
DO50808
68 years, male, NA, stage:2, alive, 570 days
536.4
DO45243
74 years, female, NA, stage:3, alive, 930 days
519.6
DO50855
47 years, male, NA, stage:2, alive, 570 days
515.2
DO23542
66 years, male, NA, stage:3, alive, 960 days
503.5
DO45281
83 years, male, NA, stage:4, alive, 750 days
493.6
DO45183
72 years, female, NA, stage:2, dead, 570 days
486.1
DO45303
62 years, female, NA, stage:3, alive, 990 days
477.5
DO45133
64 years, male, NA, stage:3, dead, 660 days
455.1
DO48715
58 years, female, NA, stage:2, dead, 690 days
449.4
DO48736
76 years, female, NA, stage:1, alive, 600 days
437.1
DO50815
62 years, male, NA, stage:3, alive, 150 days
428.5
DO45127
73 years, male, NA, stage:3, dead, 420 days
423.7
DO50791
79 years, female, NA, stage:1, dead, 480 days
397.9
DO23519
65 years, male, NA, stage:3, alive, 630 days
393.0
DO45283
60 years, male, NA, stage:3, alive, 510 days
386.1
DO45267
73 years, male, NA, stage:3, dead, 570 days
376.4
DO45285
59 years, male, NA, stage:3, alive, 480 days
369.3
DO23521
63 years, male, NA, stage:3, alive, 1110 days
367.1
DO45165
75 years, male, NA, stage:2, alive, 690 days
366.9
DO45171
56 years, male, NA, stage:3, alive, 600 days
346.3
DO23530
53 years, male, NA, stage:4, dead, 180 days
342.4
DO45217
69 years, female, NA, stage:3, dead, 270 days
315.6
DO50844
75 years, male, NA, stage:4, alive, 300 days
312.3
DO48747
62 years, male, NA, stage:3, alive, 540 days
308.0
DO48682
72 years, female, NA, stage:3, dead, 120 days
303.4
DO45287
74 years, male, NA, stage:1, alive, 390 days
302.5
DO23547
74 years, male, NA, stage:1, alive, 1020 days
293.0
DO45093
71 years, male, NA, stage:2, dead, 720 days
279.3
DO45193
68 years, female, NA, stage:4, dead, 120 days
278.5
DO48757
68 years, female, NA, stage:3, alive, 480 days
273.1
DO45297
61 years, female, NA, stage:4, dead, 1260 days
241.4
DO50829
78 years, male, NA, stage:3, alive, 570 days
234.0
DO45185
89 years, male, NA, stage:2, alive, 600 days
233.9
DO23526
66 years, male, NA, stage:3, alive, 1050 days
228.6
DO50778
60 years, male, NA, stage:4, alive, 630 days
218.6
DO45275
65 years, male, NA, stage:3, dead, 10 days
209.1
DO45301
56 years, male, NA, stage:2, dead, 1440 days
207.7
DO45131
53 years, male, NA, stage:4, dead, 360 days
186.6
DO45279
67 years, male, NA, stage:3, alive, 1290 days
172.0
DO48751
68 years, male, NA, stage:2, dead, 480 days
139.4
DO45251
57 years, female, NA, stage:2, alive, 900 days
135.3
DO45209
70 years, male, NA, stage:4, alive, 1350 days
132.6
DO45259
65 years, male, NA, stage:3, alive, 330 days
101.4
DO45307
54 years, female, NA, stage:4, dead, 240 days
67.5
DO45245
75 years, female, NA, stage:2, dead, 240 days
67.4
DO23513
76 years, male, NA, stage:3, alive, 1200 days
66.8
DO45205
67 years, female, NA, stage:2, dead, 90 days
37.5
DO45299
70 years, female, NA, stage:1, alive, 1440 days
33.7
DO45211
76 years, male, NA, stage:3, alive, 240 days
32.3
DO23523
52 years, male, NA, stage:3, alive, 1080 days
13.9
DO45189
85 years, female, NA, stage:2, alive, 1200 days
8.9
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
877
Tumor
1.8
343
Tumor
1.5
937
Tumor
1.3
425
Tumor
1.3
395
Tumor
1.1
823
Tumor
1.1
557
Tumor
0.9
777
Tumor
0.9
192
Normal
0.9
393
Tumor
0.8
375
Tumor
0.8
697
Tumor
0.8
112
Tumor
0.8
113
Tumor
0.8
525
Tumor
0.8
671
Tumor
0.8
863
Tumor
0.8
553
Tumor
0.8
467
Tumor
0.8
1015
Tumor
0.7
523
Tumor
0.7
785
Tumor
0.7
1045
Tumor
0.7
635
Tumor
0.7
665
Tumor
0.7
545
Tumor
0.7
217
Tumor
0.6
517
Tumor
0.6
497
Tumor
0.6
498
Normal
0.6
355
Tumor
0.6
526
Normal
0.6
857
Tumor
0.6
218
Normal
0.6
778
Normal
0.6
223
Tumor
0.5
817
Tumor
0.5
524
Normal
0.5
713
Tumor
0.5
695
Tumor
0.5
535
Tumor
0.5
191
Tumor
0.5
715
Tumor
0.5
745
Tumor
0.4
975
Tumor
0.4
536
Normal
0.4
396
Normal
0.4
538
Normal
0.4
285
Tumor
0.4
492
Normal
0.4
224
Normal
0.4
514
Normal
0.4
573
Tumor
0.4
916
Normal
0.4
883
Tumor
0.4
195
Tumor
0.3
344
Normal
0.3
391
Tumor
0.3
455
Tumor
0.3
1025
Tumor
0.3
527
Tumor
0.3
696
Normal
0.3
286
Normal
0.3
433
Tumor
0.3
977
Tumor
0.3
392
Normal
0.3
368
Normal
0.3
884
Normal
0.3
615
Tumor
0.3
353
Tumor
0.2
444
Normal
0.2
951
Tumor
0.2
746
Normal
0.2
967
Tumor
0.2
915
Tumor
0.2
672
Normal
0.2
874
Normal
0.2
813
Tumor
0.2
327
Tumor
0.2
938
Normal
0.2
546
Normal
0.2
135
Tumor
0.2
491
Tumor
0.2
212
Normal
0.2
558
Normal
0.2
917
Tumor
0.2
363
Tumor
0.2
1028
Normal
0.2
686
Normal
0.2
367
Tumor
0.2
384
Normal
0.2
952
Normal
0.2
452
Normal
0.2
364
Normal
0.2
383
Tumor
0.2
873
Tumor
0.2
881
Tumor
0.1
352
Normal
0.1
141
Tumor
0.1
471
Tumor
0.1
461
Tumor
0.1
1027
Tumor
0.1
953
Tumor
0.1
1041
Tumor
0.1
723
Tumor
0.1
878
Normal
0.1
187
Tumor
0.1
228
Normal
0.1
1046
Normal
0.1
981
Tumor
0.1
851
Tumor
0.1
513
Tumor
0.1
968
Normal
0.1
474
Normal
0.1
958
Normal
0.1
487
Tumor
0.1
528
Normal
0.1
755
Tumor
0.1
924
Normal
0.1
957
Tumor
0.1
423
Tumor
0.1
636
Normal
0.1
493
Tumor
0.1
865
Tumor
0.1
488
Normal
0.1
448
Normal
0.1
568
Normal
0.1
431
Tumor
0.1
1044
Normal
0.1
227
Tumor
0.1
145
Tumor
0.1
954
Normal
0.1
983
Tumor
0.1
447
Tumor
0.1
554
Normal
0.0
956
Normal
0.0
1022
Normal
0.0
923
Tumor
0.0
866
Normal
0.0
414
Normal
0.0
261
Tumor
0.0
421
Tumor
0.0
982
Normal
0.0
574
Normal
0.0
563
Tumor
0.0
685
Tumor
0.0
786
Normal
0.0
741
Tumor
0.0
376
Normal
0.0
1026
Normal
0.0
1043
Tumor
0.0
111
Normal
0.0
647
Tumor
0.0
394
Normal
0.0
816
Normal
0.0
142
Normal
0.0
926
Normal
0.0
728
Normal
-0.1
1016
Normal
-0.1
716
Normal
-0.1
283
Tumor
-0.1
756
Normal
-0.1
955
Tumor
-0.1
721
Tumor
-0.1
815
Tumor
-0.1
861
Tumor
-0.1
642
Normal
-0.1
341
Tumor
-0.1
922
Normal
-0.1
862
Normal
-0.1
284
Normal
-0.1
618
Normal
-0.1
494
Normal
-0.1
484
Normal
-0.1
148
Normal
-0.1
297
Tumor
-0.1
365
Tumor
-0.1
925
Tumor
-0.1
742
Normal
-0.1
1021
Tumor
-0.1
146
Normal
-0.1
277
Tumor
-0.1
918
Normal
-0.1
858
Normal
-0.1
426
Normal
-0.1
722
Normal
-0.1
196
Normal
-0.1
868
Normal
-0.1
572
Normal
-0.1
386
Normal
-0.1
443
Tumor
-0.1
666
Normal
-0.1
744
Normal
-0.1
424
Normal
-0.1
232
Normal
-0.1
451
Tumor
-0.1
662
Normal
-0.2
468
Normal
-0.2
714
Normal
-0.2
727
Tumor
-0.2
257
Tumor
-0.2
564
Normal
-0.2
385
Tumor
-0.2
354
Normal
-0.2
852
Normal
-0.2
966
Normal
-0.2
124
Normal
-0.2
328
Normal
-0.2
472
Normal
-0.2
648
Normal
-0.2
465
Tumor
-0.2
415
Tumor
-0.2
663
Tumor
-0.2
483
Tumor
-0.2
984
Normal
-0.2
818
Normal
-0.2
921
Tumor
-0.2
882
Normal
-0.2
978
Normal
-0.2
358
Normal
-0.2
1014
Normal
-0.2
976
Normal
-0.2
138
Normal
-0.2
571
Tumor
-0.2
515
Tumor
-0.2
738
Normal
-0.2
312
Normal
-0.2
534
Normal
-0.2
641
Tumor
-0.2
221
Tumor
-0.2
147
Tumor
-0.2
518
Normal
-0.2
814
Normal
-0.2
466
Normal
-0.2
1042
Normal
-0.2
416
Normal
-0.3
422
Normal
-0.3
161
Tumor
-0.3
137
Tumor
-0.3
136
Normal
-0.3
126
Normal
-0.3
477
Tumor
-0.3
185
Tumor
-0.3
462
Normal
-0.3
737
Tumor
-0.3
963
Tumor
-0.3
664
Normal
-0.3
356
Normal
-0.3
867
Tumor
-0.3
214
Normal
-0.3
864
Normal
-0.3
342
Normal
-0.3
824
Normal
-0.3
616
Normal
-0.3
188
Normal
-0.3
943
Tumor
-0.3
268
Normal
-0.3
478
Normal
-0.3
213
Tumor
-0.3
222
Normal
-0.3
311
Tumor
-0.3
162
Normal
-0.3
432
Normal
-0.3
262
Normal
-0.3
434
Normal
-0.3
914
Normal
-0.3
436
Normal
-0.3
388
Normal
-0.3
186
Normal
-0.3
258
Normal
-0.3
456
Normal
-0.3
944
Normal
-0.3
617
Tumor
-0.3
131
Tumor
-0.3
516
Normal
-0.4
332
Normal
-0.4
964
Normal
-0.4
446
Normal
-0.4
412
Normal
-0.4
464
Normal
-0.4
698
Normal
-0.4
361
Tumor
-0.4
567
Tumor
-0.4
912
Normal
-0.4
351
Tumor
-0.4
413
Tumor
-0.4
913
Tumor
-0.4
267
Tumor
-0.4
627
Tumor
-0.4
628
Normal
-0.4
132
Normal
-0.5
114
Normal
-0.5
463
Tumor
-0.5
428
Normal
-0.5
362
Normal
-0.5
211
Tumor
-0.5
724
Normal
-0.5
481
Tumor
-0.5
411
Tumor
-0.6
387
Tumor
-0.6
482
Normal
-0.6
314
Normal
-0.6
272
Normal
-0.6
661
Tumor
-0.6
366
Normal
-0.6
298
Normal
-0.6
743
Tumor
-0.6
128
Normal
-0.6
1013
Tumor
-0.6
172
Normal
-0.6
911
Tumor
-0.6
427
Tumor
-0.6
435
Tumor
-0.6
533
Tumor
-0.6
331
Tumor
-0.6
473
Tumor
-0.7
125
Tumor
-0.7
537
Tumor
-0.7
127
Tumor
-0.7
965
Tumor
-0.7
278
Normal
-0.7
231
Tumor
-0.7
445
Tumor
-0.7
1032
Normal
-0.8
123
Tumor
-0.8
357
Tumor
-0.9
271
Tumor
-1.0
171
Tumor
-1.1
1031
Tumor
-1.1
313
Tumor
-1.1
Show allShow less
LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.