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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.
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 TPM
658.9
Number of samples
362
Samples
Sample
Description
TPM
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
2109.8
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
1889.3
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1859.6
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1806.0
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
1768.6
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
1736.4
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
1586.4
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1562.8
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1556.4
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1510.2
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
1499.8
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
1428.3
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1398.3
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
1387.0
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1378.4
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1367.8
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
1341.4
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
1335.8
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
1306.3
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1259.3
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1256.2
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
1256.0
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1253.6
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
1252.0
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1248.5
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1237.8
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1231.7
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1226.6
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
1223.4
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1218.9
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1203.3
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1199.8
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
1196.8
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
1195.8
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1190.9
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1186.3
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1180.9
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1179.8
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1179.8
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
1178.4
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
1164.1
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1160.5
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1160.3
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
1147.6
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1145.9
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1134.7
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1124.1
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
1105.8
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
1100.4
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1095.4
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
1095.2
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1087.4
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1084.4
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1074.8
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
1066.5
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
1062.0
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
1057.8
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1053.5
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
1039.4
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1033.3
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1019.7
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
1018.0
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
1015.0
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
1011.1
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
1009.4
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
1007.6
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1006.3
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1005.0
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
1001.8
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
998.6
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
996.6
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
994.4
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
992.9
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
991.8
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
991.5
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
986.7
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
985.6
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
977.7
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
976.2
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
969.4
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
963.0
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
961.4
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
961.4
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
957.2
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
954.6
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
954.5
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
947.3
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
944.4
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
936.8
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
935.1
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
935.1
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
935.0
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
932.8
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
924.2
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
922.2
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
917.3
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
914.4
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
909.7
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
906.6
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
906.5
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
905.7
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
901.6
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
899.6
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
897.6
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
896.9
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
896.7
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
896.6
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
891.9
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
890.8
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
885.2
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
873.7
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
872.4
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
870.8
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
860.7
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
860.0
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
858.9
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
858.2
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
857.7
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
854.7
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
854.1
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
851.8
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
839.0
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
836.9
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
834.8
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
828.0
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
827.1
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
824.5
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
821.4
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
811.7
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
809.5
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
809.4
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
801.9
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
801.1
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
790.1
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
786.7
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
786.7
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
786.6
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
781.6
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
780.7
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
776.1
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
771.9
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
766.3
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
757.9
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
754.4
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
746.6
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
744.4
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
739.6
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
735.4
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
728.5
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
726.8
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
726.4
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
717.8
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
713.7
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
710.7
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
710.1
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
699.2
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
695.1
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
693.4
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
691.5
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
690.8
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
690.4
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
687.9
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
682.3
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
680.7
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
678.6
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
676.9
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
676.5
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
673.6
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
673.1
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
672.1
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
660.5
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
660.3
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
657.6
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
656.2
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
655.4
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
649.0
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
646.9
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
643.9
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
641.9
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
640.1
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
637.3
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
636.6
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
632.4
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
630.9
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
629.6
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
626.1
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
622.2
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
619.1
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
614.1
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
610.2
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
599.5
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
597.5
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
597.2
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
591.2
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
591.2
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
591.1
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
591.0
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
590.0
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
584.9
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
584.0
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
581.9
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
581.8
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
577.3
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
575.6
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
574.9
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
574.7
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
567.2
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
564.1
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
563.3
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
553.9
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
546.3
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
542.4
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
542.4
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
537.9
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
536.5
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
535.9
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
533.2
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
532.8
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
532.3
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
531.3
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
530.7
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
529.5
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
525.9
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
525.8
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
524.7
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
510.2
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
506.9
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
501.9
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
500.9
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
499.1
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
495.1
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
494.3
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
476.8
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
476.7
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
474.7
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
471.3
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
469.4
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
466.7
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
462.7
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
460.7
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
459.9
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
454.9
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
452.2
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
449.5
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
439.2
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
439.0
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
434.5
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
431.7
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
430.4
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
428.4
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
426.3
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
418.1
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
413.7
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
411.6
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
407.4
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
405.5
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
405.0
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
394.8
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
386.3
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
377.6
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
374.3
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
372.5
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
372.1
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
371.9
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
366.1
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
365.5
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
354.8
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
354.6
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
354.0
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
352.2
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
352.0
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
350.4
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
349.6
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
340.7
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
340.6
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
339.2
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
339.2
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
332.0
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
325.2
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
324.4
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
313.7
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
313.4
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
313.1
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
310.9
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
306.9
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
302.1
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
286.7
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
282.6
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
281.7
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
276.7
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
271.5
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
268.7
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
267.7
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
262.1
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
249.8
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
247.0
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
245.0
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
244.7
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
244.4
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
244.0
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
243.1
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
238.8
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
238.2
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
236.9
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
235.7
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
234.4
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
225.2
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
216.6
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
203.4
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
192.5
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
187.1
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
183.3
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
179.8
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
177.8
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
177.6
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
173.5
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
171.3
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
163.5
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
155.2
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
139.2
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
137.5
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
137.4
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
135.6
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
135.0
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
124.0
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
119.3
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
114.1
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
109.0
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
106.7
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
105.6
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
99.2
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
97.8
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
95.8
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
94.5
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
94.4
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
92.0
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
81.2
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
80.6
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
75.9
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
74.9
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
70.5
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
68.1
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
64.0
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
60.8
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
59.6
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
51.4
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
51.1
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
45.9
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
41.0
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
27.4
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
23.3
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
22.5
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
14.5
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
5.4
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
4.2
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
3.3
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
2.9
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
2.0
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
1.5
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1.4
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
0.7
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 TPM
526.9
Number of samples
231
Samples
Sample
Description
TPM
DO50844
75 years, male, NA, stage:4, alive, 300 days
3020.3
DO23511
83 years, female, NA, stage:3, dead, 180 days
1641.7
DO50807
67 years, male, NA, stage:1, alive, 540 days
1627.7
DO23516
69 years, male, NA, stage:3, dead, 20 days
1538.9
DO50804
81 years, male, NA, stage:2, alive, 720 days
1499.7
DO48693
71 years, male, NA, stage:2, alive, 900 days
1475.2
DO48677
58 years, male, NA, stage:3, alive, 1140 days
1406.6
DO50816
63 years, male, NA, stage:2, alive, 390 days
1403.7
DO45163
76 years, male, NA, stage:2, alive, 960 days
1293.1
DO50839
47 years, female, NA, stage:3, alive, 330 days
1290.7
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1257.2
DO48674
80 years, male, NA, stage:2, alive, 1260 days
1210.0
DO50859
77 years, male, NA, stage:2, alive, 180 days
1096.1
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1054.7
DO48681
57 years, male, NA, stage:2, alive, 900 days
1048.1
DO23548
78 years, female, NA, stage:1, alive, 840 days
1030.2
DO50818
65 years, male, NA, stage:2, alive, 510 days
1020.1
DO50813
56 years, male, NA, stage:2, alive, 420 days
1011.0
DO50822
66 years, male, NA, stage:2, alive, 510 days
1007.7
DO50789
73 years, female, NA, stage:2, alive, 570 days
979.3
DO45257
46 years, male, NA, stage:3, alive, 810 days
963.2
DO45161
74 years, male, NA, stage:2, dead, 540 days
962.9
DO45207
68 years, male, NA, stage:1, alive, 1050 days
949.1
DO45149
70 years, female, NA, stage:2, alive, 1260 days
944.3
DO45227
57 years, female, NA, stage:2, alive, 1020 days
938.1
DO45094
76 years, male, NA, stage:3, alive, 1650 days
927.7
DO227801
77 years, female, NA, stage:1, alive, 660 days
924.3
DO23537
79 years, male, NA, stage:2, dead, 900 days
923.2
DO45261
74 years, male, NA, stage:3, alive, 990 days
904.7
DO23527
72 years, male, NA, stage:1, alive, 1050 days
898.6
DO50840
49 years, male, NA, stage:2, alive, 330 days
891.2
DO48715
58 years, female, NA, stage:2, dead, 690 days
887.5
DO48701
78 years, male, NA, stage:2, alive, 780 days
876.8
DO45097
69 years, male, NA, stage:3, alive, 1620 days
875.6
DO23551
73 years, male, NA, stage:3, dead, 150 days
860.3
DO23550
69 years, male, NA, stage:1, alive, 990 days
851.7
DO45096
69 years, male, NA, stage:2, dead, 1290 days
850.8
DO45199
86 years, female, NA, stage:2, alive, 1350 days
842.9
DO48742
76 years, male, NA, stage:2, alive, 600 days
834.2
DO23538
67 years, male, NA, stage:2, alive, 450 days
825.2
DO227643
79 years, male, NA, stage:2, alive, 1260 days
812.2
DO50776
75 years, male, NA, stage:1, alive, 690 days
801.0
DO45169
74 years, male, NA, stage:3, alive, 1350 days
800.5
DO45235
68 years, female, NA, stage:1, alive, 900 days
798.2
DO45113
58 years, male, NA, stage:3, alive, 1560 days
798.0
DO45265
73 years, male, NA, stage:3, alive, 1020 days
796.6
DO45167
67 years, male, NA, stage:2, dead, 1440 days
794.5
DO50811
62 years, male, NA, stage:1, alive, 450 days
794.5
DO50819
72 years, female, NA, stage:2, alive, 510 days
791.9
DO48672
81 years, male, NA, stage:2, alive, 450 days
783.3
DO45215
65 years, male, NA, stage:2, alive, 1170 days
777.8
DO50817
75 years, male, NA, stage:2, alive, 390 days
775.1
DO50787
63 years, male, NA, stage:3, alive, 480 days
769.0
DO48760
70 years, female, NA, stage:2, alive, 690 days
764.6
DO48695
77 years, male, NA, stage:2, alive, 720 days
762.2
DO48746
76 years, male, NA, stage:3, alive, 570 days
757.8
DO48743
69 years, female, NA, stage:2, alive, 570 days
756.2
DO23512
60 years, male, NA, stage:1, alive, 1260 days
748.3
DO45225
69 years, male, NA, stage:1, alive, 1050 days
747.8
DO45111
74 years, male, NA, stage:2, alive, 1590 days
747.4
DO45195
62 years, male, NA, stage:1, alive, 390 days
747.2
DO23532
71 years, female, NA, stage:1, alive, 960 days
736.3
DO45125
58 years, male, NA, stage:3, alive, 1680 days
735.2
DO45197
51 years, male, NA, stage:2, alive, 1170 days
731.9
DO45129
61 years, male, NA, stage:3, alive, 1470 days
731.0
DO48716
71 years, male, NA, stage:2, alive, 720 days
725.1
DO45201
49 years, male, NA, stage:1, alive, 900 days
719.0
DO45159
65 years, male, NA, stage:3, alive, 1470 days
714.7
DO45133
64 years, male, NA, stage:3, dead, 660 days
696.1
DO48725
66 years, male, NA, stage:1, alive, 780 days
694.1
DO23517
62 years, male, NA, stage:2, alive, 1200 days
687.0
DO45143
69 years, male, NA, stage:3, alive, 1290 days
686.6
DO50785
37 years, male, NA, stage:4, dead, 90 days
681.3
DO45281
83 years, male, NA, stage:4, alive, 750 days
679.8
DO45109
63 years, male, NA, stage:2, alive, 1590 days
678.7
DO23531
78 years, female, NA, stage:3, alive, 900 days
668.9
DO45229
74 years, male, NA, stage:1, alive, 990 days
668.7
DO45239
42 years, male, NA, stage:2, alive, 870 days
666.6
DO45101
63 years, male, NA, stage:2, alive, 1680 days
661.4
DO50783
62 years, male, NA, stage:3, alive, 480 days
661.2
DO23543
63 years, male, NA, stage:2, alive, 1020 days
639.1
DO45253
50 years, male, NA, stage:2, alive, 870 days
631.7
DO23544
67 years, male, NA, stage:2, alive, 960 days
631.0
DO45255
81 years, male, NA, stage:3, alive, 720 days
630.4
DO45177
81 years, female, NA, stage:3, alive, 1260 days
625.6
DO50793
76 years, male, NA, stage:4, alive, 540 days
614.8
DO45213
58 years, male, NA, stage:1, alive, 1200 days
601.4
DO50809
56 years, male, NA, stage:3, dead, 720 days
600.7
DO23518
67 years, male, NA, stage:2, alive, 1320 days
597.8
DO48727
81 years, female, NA, stage:2, dead, 390 days
594.1
DO45099
46 years, male, NA, stage:3, alive, 1590 days
589.1
DO45179
78 years, female, NA, stage:2, alive, 600 days
580.6
DO48704
68 years, female, NA, stage:3, alive, 750 days
572.1
DO45137
38 years, male, NA, stage:1, alive, 1320 days
571.2
DO45181
84 years, female, NA, stage:2, alive, 1200 days
570.2
DO50850
74 years, male, NA, stage:3, alive, 720 days
569.2
DO45091
56 years, male, NA, stage:2, dead, 1320 days
569.0
DO50845
72 years, male, NA, stage:3, alive, 210 days
561.4
DO50805
72 years, male, NA, stage:2, alive, 690 days
560.6
DO23533
61 years, male, NA, stage:2, alive, 900 days
545.1
DO50820
77 years, female, NA, stage:3, alive, 510 days
544.4
DO45115
81 years, male, NA, stage:2, alive, 840 days
540.0
DO23540
73 years, male, NA, stage:1, alive, 750 days
535.8
DO45107
63 years, female, NA, stage:2, alive, 1710 days
535.5
DO23509
60 years, male, NA, stage:3, dead, 780 days
524.1
DO48700
78 years, female, NA, stage:2, alive, 810 days
521.8
DO23534
60 years, male, NA, stage:2, alive, 840 days
520.7
DO48759
73 years, male, NA, stage:3, alive, 720 days
508.4
DO45183
72 years, female, NA, stage:2, dead, 570 days
501.5
DO45121
61 years, male, NA, stage:3, alive, 1530 days
499.1
DO48712
50 years, male, NA, stage:2, alive, 810 days
490.0
DO48706
72 years, male, NA, stage:2, alive, 870 days
484.8
DO45233
83 years, male, NA, stage:3, alive, 900 days
483.2
DO23536
56 years, male, NA, stage:2, alive, 930 days
480.0
DO45093
71 years, male, NA, stage:2, dead, 720 days
477.1
DO48733
72 years, male, NA, stage:2, alive, 600 days
476.6
DO45165
75 years, male, NA, stage:2, alive, 690 days
470.0
DO45123
78 years, female, NA, stage:2, dead, 570 days
468.3
DO45191
61 years, female, NA, stage:2, alive, 1200 days
468.0
DO50799
66 years, female, NA, stage:2, alive, 540 days
466.9
DO48761
55 years, male, NA, stage:2, alive, 870 days
460.1
DO45269
59 years, male, NA, stage:3, alive, 750 days
456.2
DO23508
79 years, female, NA, stage:2, alive, 390 days
456.0
DO48730
73 years, female, NA, stage:2, alive, 630 days
455.2
DO45231
84 years, male, NA, stage:2, alive, 930 days
453.9
DO45173
63 years, male, NA, stage:3, alive, 1170 days
449.2
DO23542
66 years, male, NA, stage:3, alive, 960 days
447.8
DO45203
71 years, female, NA, stage:2, alive, 1170 days
444.2
DO23535
67 years, male, NA, stage:1, alive, 960 days
443.5
DO45095
66 years, male, NA, stage:2, alive, 1620 days
440.2
DO48736
76 years, female, NA, stage:1, alive, 600 days
439.3
DO23528
45 years, female, NA, stage:2, alive, 1020 days
434.2
DO50800
74 years, male, NA, stage:2, alive, 510 days
430.6
DO23546
63 years, male, NA, stage:2, alive, 1050 days
428.8
DO50857
72 years, male, NA, stage:2, alive, 210 days
425.0
DO48682
72 years, female, NA, stage:3, dead, 120 days
420.4
DO50791
79 years, female, NA, stage:1, dead, 480 days
417.1
DO45273
62 years, male, NA, stage:2, alive, 480 days
416.4
DO45131
53 years, male, NA, stage:4, dead, 360 days
409.1
DO45105
61 years, male, NA, stage:1, alive, 1680 days
407.0
DO45247
31 years, female, NA, stage:2, alive, 210 days
403.6
DO23552
80 years, female, NA, stage:1, alive, 810 days
402.8
DO23549
74 years, male, NA, stage:3, alive, 990 days
400.4
DO45092
62 years, male, NA, stage:4, dead, 1200 days
394.5
DO50802
49 years, male, NA, stage:2, alive, 930 days
393.3
DO45103
47 years, male, NA, stage:3, alive, 450 days
392.3
DO48757
68 years, female, NA, stage:3, alive, 480 days
383.7
DO23539
77 years, male, NA, stage:1, alive, 1110 days
375.5
DO50814
83 years, male, NA, stage:3, alive, 420 days
373.8
DO50798
77 years, male, NA, stage:3, dead, 30 days
373.4
DO50806
70 years, male, NA, stage:4, alive, 540 days
363.9
DO45221
75 years, female, NA, stage:4, dead, 390 days
361.0
DO48721
58 years, female, NA, stage:1, alive, 900 days
360.8
DO45187
32 years, female, NA, stage:1, alive, 1260 days
358.9
DO50832
73 years, male, NA, stage:3, alive, 90 days
354.9
DO45219
78 years, male, NA, stage:2, alive, 1080 days
346.7
DO48719
80 years, male, NA, stage:2, alive, 690 days
341.0
DO23545
67 years, male, NA, stage:2, dead, 570 days
336.4
DO48741
64 years, male, NA, stage:3, alive, 240 days
336.4
DO48728
74 years, female, NA, stage:2, alive, 150 days
333.4
DO50808
68 years, male, NA, stage:2, alive, 570 days
332.0
DO50774
68 years, female, NA, stage:2, alive, 720 days
327.9
DO45237
58 years, male, NA, stage:2, alive, 900 days
326.9
DO45119
74 years, male, NA, stage:3, dead, 510 days
316.9
DO23514
64 years, male, NA, stage:2, alive, 1290 days
313.5
DO45153
77 years, female, NA, stage:2, alive, 1380 days
311.3
DO48697
64 years, female, NA, stage:2, dead, 810 days
299.1
DO45243
74 years, female, NA, stage:3, alive, 930 days
295.8
DO48737
52 years, male, NA, stage:1, alive, 720 days
291.7
DO45171
56 years, male, NA, stage:3, alive, 600 days
286.6
DO45141
73 years, male, NA, stage:2, alive, 1320 days
279.6
DO23510
80 years, female, NA, stage:2, alive, 870 days
273.6
DO50803
62 years, female, NA, stage:1, alive, 540 days
270.0
DO45193
68 years, female, NA, stage:4, dead, 120 days
261.3
DO45157
62 years, male, NA, stage:2, alive, 1980 days
260.6
DO23541
65 years, male, NA, stage:2, alive, 930 days
257.1
DO45263
67 years, male, NA, stage:3, dead, 270 days
243.9
DO23513
76 years, male, NA, stage:3, alive, 1200 days
236.6
DO45223
67 years, male, NA, stage:4, alive, 1020 days
235.0
DO48751
68 years, male, NA, stage:2, dead, 480 days
234.8
DO45117
73 years, female, NA, stage:2, dead, 1110 days
229.9
DO45135
77 years, male, NA, stage:1, alive, 1410 days
218.0
DO23524
71 years, female, NA, stage:2, alive, 1050 days
214.6
DO48717
54 years, male, NA, stage:4, dead, 180 days
207.5
DO48720
62 years, female, NA, stage:2, alive, 570 days
206.5
DO50825
70 years, male, NA, stage:2, alive, 390 days
190.5
DO48732
73 years, male, NA, stage:3, alive, 630 days
188.0
DO48679
72 years, male, NA, stage:2, alive, 1200 days
185.9
DO45175
74 years, male, NA, stage:2, alive, 1140 days
163.8
DO45139
63 years, male, NA, stage:3, alive, 1320 days
146.0
DO45267
73 years, male, NA, stage:3, dead, 570 days
140.7
DO23529
72 years, male, NA, stage:4, alive, 930 days
120.9
DO23515
71 years, male, NA, stage:2, alive, 1230 days
119.7
DO50855
47 years, male, NA, stage:2, alive, 570 days
118.9
DO23530
53 years, male, NA, stage:4, dead, 180 days
107.0
DO48723
73 years, male, NA, stage:1, alive, 600 days
103.9
DO23547
74 years, male, NA, stage:1, alive, 1020 days
94.0
DO50778
60 years, male, NA, stage:4, alive, 630 days
84.4
DO23519
65 years, male, NA, stage:3, alive, 630 days
67.8
DO50815
62 years, male, NA, stage:3, alive, 150 days
62.1
DO45251
57 years, female, NA, stage:2, alive, 900 days
59.6
DO45249
57 years, male, NA, stage:1, alive, 630 days
57.1
DO23526
66 years, male, NA, stage:3, alive, 1050 days
56.4
DO45155
69 years, male, NA, stage:2, alive, 2160 days
52.8
DO45185
89 years, male, NA, stage:2, alive, 600 days
45.9
DO48747
62 years, male, NA, stage:3, alive, 540 days
44.4
DO45217
69 years, female, NA, stage:3, dead, 270 days
42.4
DO23521
63 years, male, NA, stage:3, alive, 1110 days
41.6
DO45301
56 years, male, NA, stage:2, dead, 1440 days
41.3
DO50829
78 years, male, NA, stage:3, alive, 570 days
41.2
DO45145
78 years, male, NA, stage:3, dead, 60 days
36.4
DO45209
70 years, male, NA, stage:4, alive, 1350 days
35.9
DO45275
65 years, male, NA, stage:3, dead, 10 days
33.5
DO45259
65 years, male, NA, stage:3, alive, 330 days
30.1
DO45205
67 years, female, NA, stage:2, dead, 90 days
22.8
DO45127
73 years, male, NA, stage:3, dead, 420 days
19.3
DO45305
66 years, male, NA, stage:4, alive, 300 days
12.6
DO45189
85 years, female, NA, stage:2, alive, 1200 days
12.1
DO45287
74 years, male, NA, stage:1, alive, 390 days
10.0
DO45283
60 years, male, NA, stage:3, alive, 510 days
8.7
DO45279
67 years, male, NA, stage:3, alive, 1290 days
7.2
DO45303
62 years, female, NA, stage:3, alive, 990 days
4.7
DO45277
64 years, male, NA, stage:3, alive, 600 days
2.7
DO45245
75 years, female, NA, stage:2, dead, 240 days
1.7
DO45289
78 years, female, NA, stage:3, alive, 360 days
1.6
DO45297
61 years, female, NA, stage:4, dead, 1260 days
1.5
DO23523
52 years, male, NA, stage:3, alive, 1080 days
1.1
DO45299
70 years, female, NA, stage:1, alive, 1440 days
0.8
DO45285
59 years, male, NA, stage:3, alive, 480 days
0.6
DO45307
54 years, female, NA, stage:4, dead, 240 days
0.5
DO45211
76 years, male, NA, stage:3, alive, 240 days
0.3
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
