We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
ITIH1 is potential prognostic, high expression is favorable in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
775.0
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
2472.0
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
2188.8
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
2156.0
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
2151.1
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
2075.2
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
2022.5
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
1885.9
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1857.4
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1769.7
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
1734.2
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1717.6
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
1690.9
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
1687.0
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1681.4
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1668.0
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1612.9
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1561.8
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1527.2
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
1523.6
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
1518.5
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
1496.0
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1483.6
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1472.4
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
1468.5
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1467.8
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1461.3
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1454.6
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
1453.0
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1443.4
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
1441.8
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1430.5
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
1422.8
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1410.9
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
1394.1
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1392.2
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1389.6
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1383.0
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1381.4
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1379.4
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
1370.1
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1366.5
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1361.3
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1360.5
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
1346.3
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1341.4
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
1328.5
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
1322.7
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1315.1
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1303.7
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
1293.5
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
1280.5
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
1273.6
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1259.3
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1256.2
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1255.4
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1243.8
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
1234.9
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
1234.5
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1233.8
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
1229.3
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
1224.6
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1222.5
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
1204.3
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1185.7
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
1176.1
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
1174.9
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
1166.7
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1165.9
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
1161.7
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
1161.7
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
1161.5
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1161.4
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
1154.1
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
1153.2
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
1152.6
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
1152.3
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
1150.4
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1149.0
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1148.9
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1146.4
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
1145.7
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
1145.1
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
1142.3
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
1138.7
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1119.6
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
1119.3
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1117.2
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
1108.5
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
1105.8
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
1100.3
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1098.4
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1098.2
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
1092.9
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1087.2
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
1087.2
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
1085.9
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1084.0
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
1083.8
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1074.8
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1073.7
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1069.6
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1065.3
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
1064.0
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1054.8
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
1048.5
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
1047.8
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1045.1
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1043.9
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
1043.1
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
1040.4
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1037.7
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
1037.4
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
1029.2
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1025.8
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1021.1
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
1021.0
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
1012.1
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
1008.3
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
1001.8
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
994.2
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
991.1
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
990.8
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
988.9
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
988.1
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
980.9
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
961.7
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
960.4
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
947.2
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
943.9
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
940.8
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
933.3
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
932.6
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
923.7
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
913.6
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
912.2
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
906.6
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
905.9
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
905.5
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
902.3
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
898.1
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
893.2
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
890.0
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
884.1
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
883.9
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
882.9
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
867.9
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
862.1
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
861.7
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
861.5
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
860.5
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
851.2
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
843.9
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
840.8
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
838.5
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
838.3
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
834.6
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
820.5
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
813.1
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
806.9
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
806.7
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
806.1
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
804.1
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
795.3
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
784.6
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
784.2
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
783.7
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
782.0
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
781.4
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
781.3
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
778.7
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
777.9
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
777.6
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
777.4
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
777.2
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
770.7
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
770.6
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
757.2
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
755.8
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
753.7
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
751.0
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
749.3
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
746.5
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
739.8
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
736.1
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
731.9
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
731.0
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
730.5
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
728.6
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
723.4
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
722.8
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
719.4
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
719.2
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
709.9
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
709.1
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
707.2
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
702.9
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
701.3
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
700.9
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
695.0
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
685.6
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
678.0
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
677.1
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
673.5
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
672.7
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
669.2
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
668.5
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
667.1
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
667.0
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
665.4
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
663.1
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
660.7
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
660.2
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
647.2
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
646.3
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
640.2
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
638.6
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
627.1
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
624.0
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
623.1
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
622.3
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
621.2
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
619.9
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
612.0
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
611.7
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
609.0
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
608.9
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
605.4
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
599.6
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
599.5
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
581.5
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
573.2
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
569.9
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
569.7
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
564.3
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
559.2
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
555.6
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
555.0
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
552.3
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
543.8
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
543.5
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
533.4
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
532.6
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
532.5
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
530.2
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
529.5
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
528.6
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
525.8
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
521.9
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
515.3
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
503.5
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
499.8
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
494.6
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
486.1
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
484.3
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
473.0
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
469.1
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
464.8
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
461.0
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
460.9
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
460.9
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
449.8
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
449.2
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
447.0
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
443.0
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
440.7
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
439.1
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
427.9
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
426.5
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
416.2
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
414.0
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
410.8
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
410.5
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
410.0
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
408.1
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
407.7
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
394.4
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
393.3
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
387.4
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
384.1
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
383.4
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
376.2
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
376.1
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
372.1
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
368.2
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
368.1
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
366.8
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
361.3
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
334.5
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
331.2
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
322.9
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
322.5
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
315.4
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
308.2
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
307.8
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
295.6
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
290.6
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
288.8
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
288.6
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
287.9
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
287.2
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
285.5
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
284.4
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
284.0
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
282.7
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
281.7
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
275.7
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
267.3
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
251.6
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
244.1
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
226.3
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
224.0
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
218.5
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
215.7
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
212.0
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
208.8
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
204.9
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
200.7
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
190.1
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
180.1
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
167.0
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
165.8
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
164.0
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
157.5
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
154.2
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
152.9
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
139.5
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
136.2
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
127.2
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
126.6
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
124.9
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
123.4
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
121.9
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
115.2
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
114.6
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
110.0
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
109.2
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
96.0
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
92.7
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
90.7
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
87.1
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
83.5
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
81.3
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
74.3
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
72.4
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
67.6
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
61.8
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
61.3
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
56.2
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
48.7
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
33.8
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
28.1
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
27.7
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
18.3
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
6.1
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
5.1
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
3.8
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
3.4
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
2.4
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
1.8
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1.7
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
0.9
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.
ITIH1 is not prognostic in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
873.7
Number of samples
231
Samples
Sample
Description
pTPM
DO50844
75 years, male, NA, stage:4, alive, 300 days
5434.5
DO50807
67 years, male, NA, stage:1, alive, 540 days
2805.9
DO48677
58 years, male, NA, stage:3, alive, 1140 days
2489.5
DO23516
69 years, male, NA, stage:3, dead, 20 days
2438.5
DO50804
81 years, male, NA, stage:2, alive, 720 days
2422.2
DO23511
83 years, female, NA, stage:3, dead, 180 days
2400.6
DO50816
63 years, male, NA, stage:2, alive, 390 days
2254.0
DO48693
71 years, male, NA, stage:2, alive, 900 days
2250.0
DO45163
76 years, male, NA, stage:2, alive, 960 days
2104.4
DO23548
78 years, female, NA, stage:1, alive, 840 days
1900.1
DO45207
68 years, male, NA, stage:1, alive, 1050 days
1860.6
DO48681
57 years, male, NA, stage:2, alive, 900 days
1855.4
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1842.6
DO50859
77 years, male, NA, stage:2, alive, 180 days
1837.9
DO45257
46 years, male, NA, stage:3, alive, 810 days
1683.6
DO23537
79 years, male, NA, stage:2, dead, 900 days
1681.7
DO50839
47 years, female, NA, stage:3, alive, 330 days
1659.5
DO48674
80 years, male, NA, stage:2, alive, 1260 days
1623.4
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1623.3
DO45227
57 years, female, NA, stage:2, alive, 1020 days
1620.2
DO50818
65 years, male, NA, stage:2, alive, 510 days
1608.0
DO50822
66 years, male, NA, stage:2, alive, 510 days
1589.2
DO50813
56 years, male, NA, stage:2, alive, 420 days
1588.8
DO45161
74 years, male, NA, stage:2, dead, 540 days
1569.5
DO50789
73 years, female, NA, stage:2, alive, 570 days
1523.9
DO23527
72 years, male, NA, stage:1, alive, 1050 days
1505.9
DO50840
49 years, male, NA, stage:2, alive, 330 days
1498.5
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1486.8
DO45094
76 years, male, NA, stage:3, alive, 1650 days
1472.9
DO45261
74 years, male, NA, stage:3, alive, 990 days
1451.8
DO227801
77 years, female, NA, stage:1, alive, 660 days
1444.8
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1426.8
DO45149
70 years, female, NA, stage:2, alive, 1260 days
1422.9
DO48746
76 years, male, NA, stage:3, alive, 570 days
1416.0
DO45197
51 years, male, NA, stage:2, alive, 1170 days
1415.6
DO45235
68 years, female, NA, stage:1, alive, 900 days
1410.5
DO48701
78 years, male, NA, stage:2, alive, 780 days
1410.2
DO45096
69 years, male, NA, stage:2, dead, 1290 days
1402.1
DO45215
65 years, male, NA, stage:2, alive, 1170 days
1399.0
DO45113
58 years, male, NA, stage:3, alive, 1560 days
1398.4
DO48715
58 years, female, NA, stage:2, dead, 690 days
1385.4
DO50787
63 years, male, NA, stage:3, alive, 480 days
1362.2
DO50819
72 years, female, NA, stage:2, alive, 510 days
1357.9
DO23538
67 years, male, NA, stage:2, alive, 450 days
1348.2
DO48742
76 years, male, NA, stage:2, alive, 600 days
1345.6
DO45097
69 years, male, NA, stage:3, alive, 1620 days
1342.7
DO23551
73 years, male, NA, stage:3, dead, 150 days
1331.9
DO50817
75 years, male, NA, stage:2, alive, 390 days
1329.1
DO23550
69 years, male, NA, stage:1, alive, 990 days
1328.0
DO48695
77 years, male, NA, stage:2, alive, 720 days
1304.6
DO45111
74 years, male, NA, stage:2, alive, 1590 days
1303.2
DO45265
73 years, male, NA, stage:3, alive, 1020 days
1295.1
DO45199
86 years, female, NA, stage:2, alive, 1350 days
1293.4
DO48672
81 years, male, NA, stage:2, alive, 450 days
1281.0
DO227643
79 years, male, NA, stage:2, alive, 1260 days
1270.7
DO23512
60 years, male, NA, stage:1, alive, 1260 days
1267.7
DO50811
62 years, male, NA, stage:1, alive, 450 days
1263.9
DO48743
69 years, female, NA, stage:2, alive, 570 days
1263.0
DO45281
83 years, male, NA, stage:4, alive, 750 days
1246.1
DO45169
74 years, male, NA, stage:3, alive, 1350 days
1239.2
DO23532
71 years, female, NA, stage:1, alive, 960 days
1238.8
DO45133
64 years, male, NA, stage:3, dead, 660 days
1233.1
DO45239
42 years, male, NA, stage:2, alive, 870 days
1207.6
DO48760
70 years, female, NA, stage:2, alive, 690 days
1182.6
DO45167
67 years, male, NA, stage:2, dead, 1440 days
1180.8
DO45253
50 years, male, NA, stage:2, alive, 870 days
1173.4
DO45129
61 years, male, NA, stage:3, alive, 1470 days
1173.3
DO48716
71 years, male, NA, stage:2, alive, 720 days
1162.0
DO45195
62 years, male, NA, stage:1, alive, 390 days
1161.6
DO50776
75 years, male, NA, stage:1, alive, 690 days
1155.1
DO23543
63 years, male, NA, stage:2, alive, 1020 days
1153.7
DO45125
58 years, male, NA, stage:3, alive, 1680 days
1153.2
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1126.4
DO45201
49 years, male, NA, stage:1, alive, 900 days
1119.9
DO48725
66 years, male, NA, stage:1, alive, 780 days
1076.4
DO23531
78 years, female, NA, stage:3, alive, 900 days
1068.9
DO23517
62 years, male, NA, stage:2, alive, 1200 days
1062.1
DO23544
67 years, male, NA, stage:2, alive, 960 days
1060.1
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1060.0
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1049.2
DO50793
76 years, male, NA, stage:4, alive, 540 days
1048.3
DO45137
38 years, male, NA, stage:1, alive, 1320 days
1042.2
DO23509
60 years, male, NA, stage:3, dead, 780 days
1041.7
DO45101
63 years, male, NA, stage:2, alive, 1680 days
1036.5
DO50809
56 years, male, NA, stage:3, dead, 720 days
1029.6
DO45255
81 years, male, NA, stage:3, alive, 720 days
1019.6
DO45229
74 years, male, NA, stage:1, alive, 990 days
1019.0
DO50820
77 years, female, NA, stage:3, alive, 510 days
1014.1
DO45099
46 years, male, NA, stage:3, alive, 1590 days
977.4
DO45091
56 years, male, NA, stage:2, dead, 1320 days
972.5
DO45179
78 years, female, NA, stage:2, alive, 600 days
963.9
DO50783
62 years, male, NA, stage:3, alive, 480 days
961.2
DO48727
81 years, female, NA, stage:2, dead, 390 days
959.9
DO23518
67 years, male, NA, stage:2, alive, 1320 days
959.8
DO23534
60 years, male, NA, stage:2, alive, 840 days
959.2
DO23533
61 years, male, NA, stage:2, alive, 900 days
933.1
DO45181
84 years, female, NA, stage:2, alive, 1200 days
922.3
DO50845
72 years, male, NA, stage:3, alive, 210 days
922.2
DO48704
68 years, female, NA, stage:3, alive, 750 days
919.3
DO45109
63 years, male, NA, stage:2, alive, 1590 days
918.8
DO50785
37 years, male, NA, stage:4, dead, 90 days
917.3
DO50850
74 years, male, NA, stage:3, alive, 720 days
900.9
DO45121
61 years, male, NA, stage:3, alive, 1530 days
898.9
DO45231
84 years, male, NA, stage:2, alive, 930 days
875.2
DO23540
73 years, male, NA, stage:1, alive, 750 days
870.8
DO48712
50 years, male, NA, stage:2, alive, 810 days
858.9
DO48700
78 years, female, NA, stage:2, alive, 810 days
856.7
DO45115
81 years, male, NA, stage:2, alive, 840 days
855.1
DO45233
83 years, male, NA, stage:3, alive, 900 days
850.0
DO45107
63 years, female, NA, stage:2, alive, 1710 days
843.3
DO48730
73 years, female, NA, stage:2, alive, 630 days
832.6
DO48733
72 years, male, NA, stage:2, alive, 600 days
830.5
DO23542
66 years, male, NA, stage:3, alive, 960 days
830.1
DO45191
61 years, female, NA, stage:2, alive, 1200 days
829.6
DO23546
63 years, male, NA, stage:2, alive, 1050 days
815.3
DO50799
66 years, female, NA, stage:2, alive, 540 days
813.2
DO50805
72 years, male, NA, stage:2, alive, 690 days
810.4
DO23536
56 years, male, NA, stage:2, alive, 930 days
800.4
DO45183
72 years, female, NA, stage:2, dead, 570 days
795.5
DO45203
71 years, female, NA, stage:2, alive, 1170 days
792.8
DO23535
67 years, male, NA, stage:1, alive, 960 days
789.5
DO23549
74 years, male, NA, stage:3, alive, 990 days
788.9
DO45123
78 years, female, NA, stage:2, dead, 570 days
788.5
DO45273
62 years, male, NA, stage:2, alive, 480 days
785.3
DO50800
74 years, male, NA, stage:2, alive, 510 days
784.0
DO45165
75 years, male, NA, stage:2, alive, 690 days
776.9
DO48761
55 years, male, NA, stage:2, alive, 870 days
771.3
DO50791
79 years, female, NA, stage:1, dead, 480 days
735.3
DO48759
73 years, male, NA, stage:3, alive, 720 days
731.1
DO48706
72 years, male, NA, stage:2, alive, 870 days
730.4
DO48736
76 years, female, NA, stage:1, alive, 600 days
727.5
DO45269
59 years, male, NA, stage:3, alive, 750 days
723.8
DO45173
63 years, male, NA, stage:3, alive, 1170 days
717.0
DO23528
45 years, female, NA, stage:2, alive, 1020 days
710.8
DO50857
72 years, male, NA, stage:2, alive, 210 days
708.3
DO45093
71 years, male, NA, stage:2, dead, 720 days
707.3
DO45131
53 years, male, NA, stage:4, dead, 360 days
702.1
DO48682
72 years, female, NA, stage:3, dead, 120 days
700.9
DO45247
31 years, female, NA, stage:2, alive, 210 days
698.1
DO23552
80 years, female, NA, stage:1, alive, 810 days
692.7
DO48757
68 years, female, NA, stage:3, alive, 480 days
691.4
DO45095
66 years, male, NA, stage:2, alive, 1620 days
674.4
DO48728
74 years, female, NA, stage:2, alive, 150 days
670.1
DO50802
49 years, male, NA, stage:2, alive, 930 days
669.2
DO45105
61 years, male, NA, stage:1, alive, 1680 days
660.0
DO45219
78 years, male, NA, stage:2, alive, 1080 days
656.4
DO45092
62 years, male, NA, stage:4, dead, 1200 days
648.7
DO50798
77 years, male, NA, stage:3, dead, 30 days
643.4
DO45103
47 years, male, NA, stage:3, alive, 450 days
638.3
DO23508
79 years, female, NA, stage:2, alive, 390 days
630.5
DO45187
32 years, female, NA, stage:1, alive, 1260 days
618.1
DO48721
58 years, female, NA, stage:1, alive, 900 days
609.8
DO50832
73 years, male, NA, stage:3, alive, 90 days
606.2
DO45237
58 years, male, NA, stage:2, alive, 900 days
595.4
DO48719
80 years, male, NA, stage:2, alive, 690 days
586.2
DO23539
77 years, male, NA, stage:1, alive, 1110 days
579.1
DO50774
68 years, female, NA, stage:2, alive, 720 days
566.2
DO23514
64 years, male, NA, stage:2, alive, 1290 days
565.3
DO45221
75 years, female, NA, stage:4, dead, 390 days
564.9
DO45243
74 years, female, NA, stage:3, alive, 930 days
542.5
DO50806
70 years, male, NA, stage:4, alive, 540 days
523.7
DO45119
74 years, male, NA, stage:3, dead, 510 days
520.0
DO45263
67 years, male, NA, stage:3, dead, 270 days
512.3
DO23545
67 years, male, NA, stage:2, dead, 570 days
509.9
DO45153
77 years, female, NA, stage:2, alive, 1380 days
503.3
DO45141
73 years, male, NA, stage:2, alive, 1320 days
487.7
DO45157
62 years, male, NA, stage:2, alive, 1980 days
485.6
DO50808
68 years, male, NA, stage:2, alive, 570 days
478.2
DO48697
64 years, female, NA, stage:2, dead, 810 days
475.3
DO50814
83 years, male, NA, stage:3, alive, 420 days
473.4
DO45171
56 years, male, NA, stage:3, alive, 600 days
470.1
DO23513
76 years, male, NA, stage:3, alive, 1200 days
469.5
DO48737
52 years, male, NA, stage:1, alive, 720 days
468.9
DO23510
80 years, female, NA, stage:2, alive, 870 days
464.3
DO48741
64 years, male, NA, stage:3, alive, 240 days
455.4
DO45193
68 years, female, NA, stage:4, dead, 120 days
436.3
DO50803
62 years, female, NA, stage:1, alive, 540 days
429.6
DO23541
65 years, male, NA, stage:2, alive, 930 days
426.6
DO48732
73 years, male, NA, stage:3, alive, 630 days
417.9
DO48720
62 years, female, NA, stage:2, alive, 570 days
417.2
DO45223
67 years, male, NA, stage:4, alive, 1020 days
401.9
DO23524
71 years, female, NA, stage:2, alive, 1050 days
392.7
DO45117
73 years, female, NA, stage:2, dead, 1110 days
383.1
DO48717
54 years, male, NA, stage:4, dead, 180 days
362.5
DO48751
68 years, male, NA, stage:2, dead, 480 days
354.9
DO45135
77 years, male, NA, stage:1, alive, 1410 days
351.0
DO45139
63 years, male, NA, stage:3, alive, 1320 days
289.4
DO50825
70 years, male, NA, stage:2, alive, 390 days
286.6
DO45267
73 years, male, NA, stage:3, dead, 570 days
262.1
DO48679
72 years, male, NA, stage:2, alive, 1200 days
257.6
DO45175
74 years, male, NA, stage:2, alive, 1140 days
257.1
DO23529
72 years, male, NA, stage:4, alive, 930 days
217.3
DO50855
47 years, male, NA, stage:2, alive, 570 days
212.1
DO23530
53 years, male, NA, stage:4, dead, 180 days
205.3
DO23515
71 years, male, NA, stage:2, alive, 1230 days
195.6
DO23547
74 years, male, NA, stage:1, alive, 1020 days
183.3
DO48723
73 years, male, NA, stage:1, alive, 600 days
156.0
DO50778
60 years, male, NA, stage:4, alive, 630 days
145.2
DO50815
62 years, male, NA, stage:3, alive, 150 days
122.9
DO45251
57 years, female, NA, stage:2, alive, 900 days
120.9
DO45249
57 years, male, NA, stage:1, alive, 630 days
116.7
DO45155
69 years, male, NA, stage:2, alive, 2160 days
109.4
DO23526
66 years, male, NA, stage:3, alive, 1050 days
107.3
DO23519
65 years, male, NA, stage:3, alive, 630 days
100.6
DO45185
89 years, male, NA, stage:2, alive, 600 days
96.2
DO23521
63 years, male, NA, stage:3, alive, 1110 days
83.6
DO45301
56 years, male, NA, stage:2, dead, 1440 days
83.4
DO45217
69 years, female, NA, stage:3, dead, 270 days
77.2
DO50829
78 years, male, NA, stage:3, alive, 570 days
74.6
DO48747
62 years, male, NA, stage:3, alive, 540 days
70.5
DO45275
65 years, male, NA, stage:3, dead, 10 days
63.1
DO45209
70 years, male, NA, stage:4, alive, 1350 days
62.3
DO45259
65 years, male, NA, stage:3, alive, 330 days
58.9
DO45145
78 years, male, NA, stage:3, dead, 60 days
56.8
DO45205
67 years, female, NA, stage:2, dead, 90 days
47.7
DO45127
73 years, male, NA, stage:3, dead, 420 days
37.7
DO45189
85 years, female, NA, stage:2, alive, 1200 days
25.8
DO45305
66 years, male, NA, stage:4, alive, 300 days
23.8
DO45287
74 years, male, NA, stage:1, alive, 390 days
20.6
DO45283
60 years, male, NA, stage:3, alive, 510 days
18.0
DO45279
67 years, male, NA, stage:3, alive, 1290 days
16.8
DO45303
62 years, female, NA, stage:3, alive, 990 days
8.6
DO45277
64 years, male, NA, stage:3, alive, 600 days
5.6
DO45245
75 years, female, NA, stage:2, dead, 240 days
3.6
DO45297
61 years, female, NA, stage:4, dead, 1260 days
2.8
DO45289
78 years, female, NA, stage:3, alive, 360 days
2.5
DO23523
52 years, male, NA, stage:3, alive, 1080 days
1.9
DO45299
70 years, female, NA, stage:1, alive, 1440 days
1.3
DO45307
54 years, female, NA, stage:4, dead, 240 days
0.9
DO45285
59 years, male, NA, stage:3, alive, 480 days
0.8
DO45211
76 years, male, NA, stage:3, alive, 240 days
0.5
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
877
Tumor
1.7
425
Tumor
1.2
343
Tumor
1.2
697
Tumor
1.0
227
Tumor
0.9
713
Tumor
0.9
1045
Tumor
0.9
375
Tumor
0.9
112
Tumor
0.8
192
Normal
0.8
671
Tumor
0.7
813
Tumor
0.7
917
Tumor
0.7
785
Tumor
0.6
615
Tumor
0.6
863
Tumor
0.6
815
Tumor
0.6
355
Tumor
0.5
342
Normal
0.5
515
Tumor
0.5
817
Tumor
0.5
461
Tumor
0.5
277
Tumor
0.5
142
Normal
0.5
571
Tumor
0.5
915
Tumor
0.5
224
Normal
0.5
462
Normal
0.5
924
Normal
0.5
423
Tumor
0.4
354
Normal
0.4
426
Normal
0.4
958
Normal
0.4
514
Normal
0.4
526
Normal
0.4
1022
Normal
0.4
964
Normal
0.4
746
Normal
0.4
428
Normal
0.4
517
Tumor
0.4
484
Normal
0.4
365
Tumor
0.4
568
Normal
0.4
148
Normal
0.4
665
Tumor
0.4
884
Normal
0.4
391
Tumor
0.4
1046
Normal
0.4
742
Normal
0.4
546
Normal
0.4
618
Normal
0.4
818
Normal
0.4
983
Tumor
0.4
363
Tumor
0.3
384
Normal
0.3
648
Normal
0.3
196
Normal
0.3
553
Tumor
0.3
868
Normal
0.3
383
Tumor
0.3
572
Normal
0.3
488
Normal
0.3
858
Normal
0.3
922
Normal
0.3
672
Normal
0.3
686
Normal
0.3
471
Tumor
0.3
866
Normal
0.3
424
Normal
0.3
862
Normal
0.3
636
Normal
0.3
786
Normal
0.3
162
Normal
0.3
392
Normal
0.3
411
Tumor
0.3
111
Normal
0.3
364
Normal
0.3
286
Normal
0.3
778
Normal
0.3
465
Tumor
0.3
328
Normal
0.3
464
Normal
0.3
356
Normal
0.3
472
Normal
0.3
466
Normal
0.3
823
Tumor
0.3
414
Normal
0.3
554
Normal
0.3
394
Normal
0.3
368
Normal
0.3
516
Normal
0.3
498
Normal
0.3
938
Normal
0.3
186
Normal
0.2
388
Normal
0.2
857
Tumor
0.2
714
Normal
0.2
1041
Tumor
0.2
487
Tumor
0.2
534
Normal
0.2
716
Normal
0.2
396
Normal
0.2
953
Tumor
0.2
141
Tumor
0.2
527
Tumor
0.2
218
Normal
0.2
528
Normal
0.2
1032
Normal
0.2
616
Normal
0.2
376
Normal
0.2
723
Tumor
0.2
137
Tumor
0.2
1042
Normal
0.2
666
Normal
0.2
311
Tumor
0.2
921
Tumor
0.2
738
Normal
0.2
756
Normal
0.2
223
Tumor
0.2
1014
Normal
0.2
744
Normal
0.2
456
Normal
0.2
912
Normal
0.2
696
Normal
0.2
353
Tumor
0.2
482
Normal
0.2
664
Normal
0.2
452
Normal
0.2
232
Normal
0.2
146
Normal
0.2
483
Tumor
0.2
444
Normal
0.2
1026
Normal
0.2
647
Tumor
0.2
298
Normal
0.2
513
Tumor
0.2
494
Normal
0.2
918
Normal
0.2
722
Normal
0.2
954
Normal
0.2
916
Normal
0.2
968
Normal
0.1
1016
Normal
0.1
698
Normal
0.1
627
Tumor
0.1
635
Tumor
0.1
344
Normal
0.1
222
Normal
0.1
824
Normal
0.1
217
Tumor
0.1
777
Tumor
0.1
628
Normal
0.1
882
Normal
0.1
132
Normal
0.1
926
Normal
0.1
332
Normal
0.1
195
Tumor
0.1
297
Tumor
0.1
327
Tumor
0.1
737
Tumor
0.1
128
Normal
0.1
422
Normal
0.1
172
Normal
0.1
982
Normal
0.1
518
Normal
0.1
937
Tumor
0.1
538
Normal
0.1
984
Normal
0.1
463
Tumor
0.1
435
Tumor
0.1
278
Normal
0.1
545
Tumor
0.1
564
Normal
0.1
284
Normal
0.1
497
Tumor
0.1
136
Normal
0.1
126
Normal
0.1
455
Tumor
0.1
448
Normal
0.1
228
Normal
0.1
956
Normal
0.1
312
Normal
0.1
864
Normal
0.1
944
Normal
0.1
741
Tumor
0.1
923
Tumor
0.1
574
Normal
0.1
412
Normal
0.1
124
Normal
0.1
951
Tumor
0.1
492
Normal
0.1
1015
Tumor
0.1
212
Normal
0.0
952
Normal
0.0
914
Normal
0.0
352
Normal
0.0
135
Tumor
0.0
185
Tumor
0.0
567
Tumor
0.0
138
Normal
0.0
436
Normal
0.0
878
Normal
0.0
314
Normal
0.0
258
Normal
0.0
816
Normal
0.0
481
Tumor
0.0
341
Tumor
0.0
728
Normal
0.0
563
Tumor
0.0
261
Tumor
0.0
358
Normal
0.0
981
Tumor
0.0
416
Normal
0.0
267
Tumor
0.0
145
Tumor
0.0
536
Normal
0.0
662
Normal
0.0
976
Normal
0.0
1044
Normal
0.0
663
Tumor
0.0
114
Normal
0.0
221
Tumor
0.0
445
Tumor
0.0
1028
Normal
0.0
525
Tumor
0.0
191
Tumor
0.0
883
Tumor
0.0
474
Normal
0.0
161
Tumor
0.0
283
Tumor
0.0
387
Tumor
0.0
395
Tumor
0.0
1025
Tumor
0.0
468
Normal
0.0
446
Normal
-0.1
963
Tumor
-0.1
421
Tumor
-0.1
695
Tumor
-0.1
966
Normal
-0.1
366
Normal
-0.1
867
Tumor
-0.1
447
Tumor
-0.1
361
Tumor
-0.1
558
Normal
-0.1
865
Tumor
-0.1
386
Normal
-0.1
617
Tumor
-0.1
113
Tumor
-0.1
214
Normal
-0.1
362
Normal
-0.2
147
Tumor
-0.2
755
Tumor
-0.2
685
Tumor
-0.2
262
Normal
-0.2
367
Tumor
-0.2
478
Normal
-0.2
491
Tumor
-0.2
957
Tumor
-0.2
881
Tumor
-0.2
125
Tumor
-0.2
272
Normal
-0.2
268
Normal
-0.2
524
Normal
-0.2
557
Tumor
-0.2
978
Normal
-0.2
975
Tumor
-0.2
127
Tumor
-0.2
432
Normal
-0.2
874
Normal
-0.2
467
Tumor
-0.2
977
Tumor
-0.2
523
Tumor
-0.2
745
Tumor
-0.2
911
Tumor
-0.2
721
Tumor
-0.2
535
Tumor
-0.2
188
Normal
-0.2
715
Tumor
-0.3
1021
Tumor
-0.3
1043
Tumor
-0.3
477
Tumor
-0.3
443
Tumor
-0.3
955
Tumor
-0.3
727
Tumor
-0.3
861
Tumor
-0.3
573
Tumor
-0.3
393
Tumor
-0.3
873
Tumor
-0.3
331
Tumor
-0.3
415
Tumor
-0.3
967
Tumor
-0.3
814
Normal
-0.4
427
Tumor
-0.4
1013
Tumor
-0.4
431
Tumor
-0.4
271
Tumor
-0.4
852
Normal
-0.4
743
Tumor
-0.4
1031
Tumor
-0.4
187
Tumor
-0.4
433
Tumor
-0.4
965
Tumor
-0.4
357
Tumor
-0.4
533
Tumor
-0.5
943
Tumor
-0.5
451
Tumor
-0.5
171
Tumor
-0.5
642
Normal
-0.5
213
Tumor
-0.5
913
Tumor
-0.5
434
Normal
-0.5
493
Tumor
-0.5
413
Tumor
-0.5
131
Tumor
-0.5
123
Tumor
-0.5
285
Tumor
-0.6
851
Tumor
-0.6
231
Tumor
-0.7
313
Tumor
-0.7
925
Tumor
-0.7
385
Tumor
-0.7
537
Tumor
-0.7
1027
Tumor
-0.7
473
Tumor
-0.8
351
Tumor
-0.8
257
Tumor
-0.8
641
Tumor
-0.9
724
Normal
-0.9
661
Tumor
-1.1
211
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.
The Human Protein Atlas project is funded
