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.
ITIH4 is not prognostic in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
656.9
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
3534.6
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
3297.0
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
2747.9
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
2566.8
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1991.6
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
1871.5
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1842.5
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
1826.1
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
1787.3
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
1734.6
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
1692.6
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1660.9
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1625.2
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
1619.0
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
1615.6
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
1611.6
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1593.1
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1587.0
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1583.5
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1501.6
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
1482.9
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
1445.6
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
1440.8
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
1440.4
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1431.7
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
1408.3
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1402.3
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
1396.7
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
1388.2
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1383.8
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
1378.5
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
1376.7
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
1375.5
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
1352.4
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
1316.4
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1301.1
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
1297.8
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
1280.5
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
1280.4
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
1278.5
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
1268.7
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
1257.7
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
1255.0
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
1224.5
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
1209.8
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
1205.1
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
1204.6
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1203.5
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1200.5
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
1199.0
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1191.8
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1191.2
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1177.7
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1172.1
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
1165.7
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1157.6
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
1154.5
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1122.2
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
1098.9
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1096.9
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
1069.4
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1068.4
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1065.2
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
1064.8
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1042.5
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
1039.1
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
1037.7
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1036.2
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1018.9
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1007.3
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
987.8
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
984.6
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
983.2
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
979.2
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
974.3
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
973.2
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
973.1
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
972.0
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
963.7
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
949.0
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
948.4
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
945.5
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
944.0
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
942.4
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
934.0
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
930.5
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
925.8
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
921.3
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
908.9
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
908.8
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
901.8
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
898.7
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
896.2
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
889.6
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
875.5
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
871.2
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
868.9
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
866.7
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
866.6
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
860.9
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
858.9
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
857.8
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
857.5
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
849.4
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
844.2
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
842.8
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
840.4
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
839.8
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
825.6
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
818.8
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
814.7
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
812.1
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
808.3
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
802.1
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
802.0
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
800.0
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
797.5
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
781.0
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
780.2
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
780.1
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
775.0
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
771.8
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
769.7
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
762.7
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
761.0
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
760.6
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
748.4
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
743.2
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
743.2
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
739.6
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
736.1
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
731.1
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
730.1
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
729.3
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
726.4
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
726.3
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
720.5
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
720.2
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
715.0
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
711.4
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
711.2
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
706.6
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
703.9
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
699.1
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
696.2
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
695.9
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
693.6
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
690.3
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
688.5
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
685.0
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
680.3
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
677.9
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
673.8
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
672.5
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
669.2
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
662.6
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
661.9
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
660.4
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
657.4
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
653.2
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
652.5
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
646.8
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
645.8
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
623.6
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
616.2
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
612.9
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
610.1
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
609.9
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
606.7
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
600.6
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
600.0
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
597.0
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
596.9
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
593.5
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
588.4
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
586.2
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
583.3
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
582.7
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
581.4
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
579.1
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
576.3
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
575.8
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
573.9
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
571.6
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
570.7
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
568.3
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
561.0
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
549.5
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
548.2
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
541.6
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
531.4
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
525.3
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
523.5
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
523.4
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
523.2
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
520.9
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
519.2
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
512.1
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
510.6
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
509.9
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
506.3
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
504.4
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
502.4
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
498.0
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
495.0
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
485.0
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
478.3
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
457.4
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
456.6
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
456.3
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
454.8
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
452.8
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
451.4
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
450.7
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
446.4
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
445.0
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
444.1
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
437.7
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
437.7
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
437.1
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
436.9
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
435.6
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
432.0
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
426.0
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
414.5
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
412.5
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
406.5
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
404.7
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
404.4
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
403.9
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
397.7
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
397.3
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
393.6
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
393.6
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
392.1
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
385.6
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
385.4
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
383.3
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
380.7
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
379.7
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
364.7
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
363.3
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
359.8
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
358.6
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
353.2
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
352.1
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
351.0
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
348.8
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
347.4
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
345.2
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
341.1
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
337.2
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
335.1
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
331.9
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
330.4
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
327.5
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
327.3
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
326.4
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
324.7
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
324.3
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
322.9
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
322.0
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
316.4
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
313.1
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
312.8
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
303.1
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
303.0
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
298.0
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
294.7
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
290.6
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
286.3
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
285.2
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
281.0
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
276.0
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
275.7
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
270.9
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
265.4
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
263.7
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
257.7
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
254.8
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
252.6
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
250.5
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
249.5
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
247.4
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
243.2
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
242.4
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
232.6
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
229.9
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
229.6
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
225.8
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
225.0
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
222.1
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
222.1
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
219.7
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
219.2
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
219.2
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
218.3
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
216.0
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
209.3
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
208.5
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
207.9
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
207.5
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
202.6
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
202.0
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
195.6
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
189.6
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
189.6
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
187.1
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
186.7
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
186.7
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
169.0
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
162.2
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
161.9
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
158.7
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
158.5
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
157.2
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
156.8
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
154.8
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
150.9
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
149.2
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
148.0
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
144.4
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
142.6
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
141.3
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
138.7
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
135.8
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
128.1
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
120.4
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
115.0
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
114.6
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
114.4
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
110.8
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
107.4
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
106.6
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
95.3
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
94.4
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
93.6
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
93.5
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
88.7
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
86.3
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
83.9
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
80.5
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
76.8
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
76.6
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
65.9
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
55.8
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
53.7
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
47.6
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
42.1
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
32.4
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
31.4
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
26.4
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
20.2
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
19.7
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
17.8
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
5.5
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
3.3
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
2.1
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
1.2
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
0.7
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.
ITIH4 is potential prognostic, high expression is favorable in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 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
1125.6
Number of samples
231
Samples
Sample
Description
pTPM
DO23548
78 years, female, NA, stage:1, alive, 840 days
3904.6
DO45215
65 years, male, NA, stage:2, alive, 1170 days
3704.1
DO45167
67 years, male, NA, stage:2, dead, 1440 days
3687.8
DO48721
58 years, female, NA, stage:1, alive, 900 days
3681.8
DO50807
67 years, male, NA, stage:1, alive, 540 days
3487.6
DO227801
77 years, female, NA, stage:1, alive, 660 days
3432.7
DO48760
70 years, female, NA, stage:2, alive, 690 days
3270.9
DO23550
69 years, male, NA, stage:1, alive, 990 days
3191.9
DO50813
56 years, male, NA, stage:2, alive, 420 days
3140.8
DO23544
67 years, male, NA, stage:2, alive, 960 days
3084.7
DO45159
65 years, male, NA, stage:3, alive, 1470 days
2976.2
DO45229
74 years, male, NA, stage:1, alive, 990 days
2964.5
DO45195
62 years, male, NA, stage:1, alive, 390 days
2950.9
DO45094
76 years, male, NA, stage:3, alive, 1650 days
2942.3
DO50850
74 years, male, NA, stage:3, alive, 720 days
2756.1
DO48677
58 years, male, NA, stage:3, alive, 1140 days
2701.2
DO48674
80 years, male, NA, stage:2, alive, 1260 days
2569.2
DO45107
63 years, female, NA, stage:2, alive, 1710 days
2496.9
DO48693
71 years, male, NA, stage:2, alive, 900 days
2474.5
DO227643
79 years, male, NA, stage:2, alive, 1260 days
2442.9
DO23517
62 years, male, NA, stage:2, alive, 1200 days
2372.4
DO45199
86 years, female, NA, stage:2, alive, 1350 days
2315.2
DO50774
68 years, female, NA, stage:2, alive, 720 days
2312.8
DO50787
63 years, male, NA, stage:3, alive, 480 days
2266.1
DO23538
67 years, male, NA, stage:2, alive, 450 days
2265.5
DO23536
56 years, male, NA, stage:2, alive, 930 days
2243.6
DO45113
58 years, male, NA, stage:3, alive, 1560 days
2224.4
DO23532
71 years, female, NA, stage:1, alive, 960 days
2221.1
DO45241
49 years, male, NA, stage:1, alive, 1080 days
2169.8
DO48682
72 years, female, NA, stage:3, dead, 120 days
2156.3
DO23531
78 years, female, NA, stage:3, alive, 900 days
2131.9
DO45261
74 years, male, NA, stage:3, alive, 990 days
2123.0
DO23512
60 years, male, NA, stage:1, alive, 1260 days
2112.6
DO50818
65 years, male, NA, stage:2, alive, 510 days
2041.8
DO50822
66 years, male, NA, stage:2, alive, 510 days
1979.2
DO45181
84 years, female, NA, stage:2, alive, 1200 days
1964.4
DO23551
73 years, male, NA, stage:3, dead, 150 days
1950.9
DO48746
76 years, male, NA, stage:3, alive, 570 days
1942.7
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1941.7
DO48727
81 years, female, NA, stage:2, dead, 390 days
1937.9
DO23527
72 years, male, NA, stage:1, alive, 1050 days
1929.3
DO50804
81 years, male, NA, stage:2, alive, 720 days
1916.9
DO45191
61 years, female, NA, stage:2, alive, 1200 days
1913.8
DO50817
75 years, male, NA, stage:2, alive, 390 days
1897.1
DO23533
61 years, male, NA, stage:2, alive, 900 days
1877.4
DO45133
64 years, male, NA, stage:3, dead, 660 days
1863.7
DO50789
73 years, female, NA, stage:2, alive, 570 days
1802.0
DO23543
63 years, male, NA, stage:2, alive, 1020 days
1794.2
DO48743
69 years, female, NA, stage:2, alive, 570 days
1746.3
DO50819
72 years, female, NA, stage:2, alive, 510 days
1726.6
DO23518
67 years, male, NA, stage:2, alive, 1320 days
1714.3
DO48704
68 years, female, NA, stage:3, alive, 750 days
1695.4
DO45207
68 years, male, NA, stage:1, alive, 1050 days
1679.2
DO45125
58 years, male, NA, stage:3, alive, 1680 days
1674.4
DO23534
60 years, male, NA, stage:2, alive, 840 days
1670.8
DO45163
76 years, male, NA, stage:2, alive, 960 days
1637.5
DO45179
78 years, female, NA, stage:2, alive, 600 days
1628.5
DO50857
72 years, male, NA, stage:2, alive, 210 days
1597.3
DO48719
80 years, male, NA, stage:2, alive, 690 days
1569.0
DO50845
72 years, male, NA, stage:3, alive, 210 days
1557.1
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1552.8
DO50798
77 years, male, NA, stage:3, dead, 30 days
1548.9
DO45101
63 years, male, NA, stage:2, alive, 1680 days
1544.8
DO23529
72 years, male, NA, stage:4, alive, 930 days
1510.3
DO50793
76 years, male, NA, stage:4, alive, 540 days
1463.2
DO45257
46 years, male, NA, stage:3, alive, 810 days
1435.4
DO48695
77 years, male, NA, stage:2, alive, 720 days
1430.5
DO45231
84 years, male, NA, stage:2, alive, 930 days
1427.9
DO45129
61 years, male, NA, stage:3, alive, 1470 days
1420.2
DO48716
71 years, male, NA, stage:2, alive, 720 days
1414.5
DO50816
63 years, male, NA, stage:2, alive, 390 days
1405.9
DO50800
74 years, male, NA, stage:2, alive, 510 days
1395.8
DO48733
72 years, male, NA, stage:2, alive, 600 days
1351.5
DO50803
62 years, female, NA, stage:1, alive, 540 days
1347.8
DO45197
51 years, male, NA, stage:2, alive, 1170 days
1345.1
DO50802
49 years, male, NA, stage:2, alive, 930 days
1342.2
DO45235
68 years, female, NA, stage:1, alive, 900 days
1329.0
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1302.5
DO45123
78 years, female, NA, stage:2, dead, 570 days
1256.4
DO45253
50 years, male, NA, stage:2, alive, 870 days
1243.3
DO45091
56 years, male, NA, stage:2, dead, 1320 days
1229.4
DO45227
57 years, female, NA, stage:2, alive, 1020 days
1227.3
DO50776
75 years, male, NA, stage:1, alive, 690 days
1217.2
DO48742
76 years, male, NA, stage:2, alive, 600 days
1216.2
DO45255
81 years, male, NA, stage:3, alive, 720 days
1210.5
DO45169
74 years, male, NA, stage:3, alive, 1350 days
1197.6
DO50855
47 years, male, NA, stage:2, alive, 570 days
1192.2
DO45097
69 years, male, NA, stage:3, alive, 1620 days
1190.6
DO50832
73 years, male, NA, stage:3, alive, 90 days
1182.5
DO23541
65 years, male, NA, stage:2, alive, 930 days
1182.4
DO23549
74 years, male, NA, stage:3, alive, 990 days
1167.9
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1166.4
DO23546
63 years, male, NA, stage:2, alive, 1050 days
1163.0
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1161.6
DO50839
47 years, female, NA, stage:3, alive, 330 days
1155.3
DO45149
70 years, female, NA, stage:2, alive, 1260 days
1141.6
DO48761
55 years, male, NA, stage:2, alive, 870 days
1126.9
DO48701
78 years, male, NA, stage:2, alive, 780 days
1118.9
DO50859
77 years, male, NA, stage:2, alive, 180 days
1097.3
DO45109
63 years, male, NA, stage:2, alive, 1590 days
1072.9
DO50840
49 years, male, NA, stage:2, alive, 330 days
1067.5
DO45201
49 years, male, NA, stage:1, alive, 900 days
1054.4
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1044.8
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1041.2
DO48715
58 years, female, NA, stage:2, dead, 690 days
1032.1
DO48700
78 years, female, NA, stage:2, alive, 810 days
1032.0
DO45233
83 years, male, NA, stage:3, alive, 900 days
1029.4
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1024.1
DO48712
50 years, male, NA, stage:2, alive, 810 days
1008.3
DO45155
69 years, male, NA, stage:2, alive, 2160 days
1003.8
DO23524
71 years, female, NA, stage:2, alive, 1050 days
995.0
DO45111
74 years, male, NA, stage:2, alive, 1590 days
994.1
DO45213
58 years, male, NA, stage:1, alive, 1200 days
990.8
DO45143
69 years, male, NA, stage:3, alive, 1290 days
978.2
DO45175
74 years, male, NA, stage:2, alive, 1140 days
977.3
DO23509
60 years, male, NA, stage:3, dead, 780 days
968.2
DO45099
46 years, male, NA, stage:3, alive, 1590 days
960.9
DO45095
66 years, male, NA, stage:2, alive, 1620 days
958.2
DO45203
71 years, female, NA, stage:2, alive, 1170 days
946.9
DO48723
73 years, male, NA, stage:1, alive, 600 days
926.8
DO45223
67 years, male, NA, stage:4, alive, 1020 days
918.1
DO50809
56 years, male, NA, stage:3, dead, 720 days
908.5
DO50783
62 years, male, NA, stage:3, alive, 480 days
906.5
DO48732
73 years, male, NA, stage:3, alive, 630 days
900.6
DO45273
62 years, male, NA, stage:2, alive, 480 days
899.9
DO45263
67 years, male, NA, stage:3, dead, 270 days
897.6
DO45135
77 years, male, NA, stage:1, alive, 1410 days
884.0
DO45187
32 years, female, NA, stage:1, alive, 1260 days
876.8
DO45117
73 years, female, NA, stage:2, dead, 1110 days
870.6
DO45281
83 years, male, NA, stage:4, alive, 750 days
869.0
DO45137
38 years, male, NA, stage:1, alive, 1320 days
864.0
DO23542
66 years, male, NA, stage:3, alive, 960 days
835.8
DO45103
47 years, male, NA, stage:3, alive, 450 days
824.1
DO45237
58 years, male, NA, stage:2, alive, 900 days
820.4
DO48725
66 years, male, NA, stage:1, alive, 780 days
812.4
DO23540
73 years, male, NA, stage:1, alive, 750 days
810.3
DO45183
72 years, female, NA, stage:2, dead, 570 days
798.6
DO45105
61 years, male, NA, stage:1, alive, 1680 days
794.5
DO45092
62 years, male, NA, stage:4, dead, 1200 days
781.5
DO45269
59 years, male, NA, stage:3, alive, 750 days
768.8
DO23510
80 years, female, NA, stage:2, alive, 870 days
765.1
DO48679
72 years, male, NA, stage:2, alive, 1200 days
763.8
DO50791
79 years, female, NA, stage:1, dead, 480 days
751.6
DO45243
74 years, female, NA, stage:3, alive, 930 days
749.9
DO50811
62 years, male, NA, stage:1, alive, 450 days
744.4
DO48672
81 years, male, NA, stage:2, alive, 450 days
740.7
DO45239
42 years, male, NA, stage:2, alive, 870 days
715.8
DO50820
77 years, female, NA, stage:3, alive, 510 days
706.4
DO23539
77 years, male, NA, stage:1, alive, 1110 days
706.2
DO45165
75 years, male, NA, stage:2, alive, 690 days
701.8
DO48759
73 years, male, NA, stage:3, alive, 720 days
690.8
DO45096
69 years, male, NA, stage:2, dead, 1290 days
681.2
DO45115
81 years, male, NA, stage:2, alive, 840 days
681.2
DO23521
63 years, male, NA, stage:3, alive, 1110 days
679.7
DO23516
69 years, male, NA, stage:3, dead, 20 days
676.0
DO50778
60 years, male, NA, stage:4, alive, 630 days
669.1
DO50806
70 years, male, NA, stage:4, alive, 540 days
641.7
DO50814
83 years, male, NA, stage:3, alive, 420 days
632.8
DO23537
79 years, male, NA, stage:2, dead, 900 days
614.1
DO23511
83 years, female, NA, stage:3, dead, 180 days
612.2
DO45265
73 years, male, NA, stage:3, alive, 1020 days
604.7
DO45131
53 years, male, NA, stage:4, dead, 360 days
584.9
DO45221
75 years, female, NA, stage:4, dead, 390 days
583.6
DO23535
67 years, male, NA, stage:1, alive, 960 days
583.3
DO23528
45 years, female, NA, stage:2, alive, 1020 days
577.9
DO45121
61 years, male, NA, stage:3, alive, 1530 days
573.8
DO45171
56 years, male, NA, stage:3, alive, 600 days
571.0
DO48737
52 years, male, NA, stage:1, alive, 720 days
563.5
DO45161
74 years, male, NA, stage:2, dead, 540 days
536.3
DO48717
54 years, male, NA, stage:4, dead, 180 days
534.7
DO50805
72 years, male, NA, stage:2, alive, 690 days
529.7
DO50808
68 years, male, NA, stage:2, alive, 570 days
528.6
DO45267
73 years, male, NA, stage:3, dead, 570 days
524.5
DO45173
63 years, male, NA, stage:3, alive, 1170 days
519.3
DO48736
76 years, female, NA, stage:1, alive, 600 days
517.4
DO23547
74 years, male, NA, stage:1, alive, 1020 days
517.0
DO45217
69 years, female, NA, stage:3, dead, 270 days
392.2
DO48706
72 years, male, NA, stage:2, alive, 870 days
385.3
DO23545
67 years, male, NA, stage:2, dead, 570 days
383.0
DO23530
53 years, male, NA, stage:4, dead, 180 days
380.6
DO48751
68 years, male, NA, stage:2, dead, 480 days
370.8
DO48730
73 years, female, NA, stage:2, alive, 630 days
365.5
DO45139
63 years, male, NA, stage:3, alive, 1320 days
349.4
DO48720
62 years, female, NA, stage:2, alive, 570 days
348.1
DO48697
64 years, female, NA, stage:2, dead, 810 days
345.6
DO48728
74 years, female, NA, stage:2, alive, 150 days
343.8
DO48681
57 years, male, NA, stage:2, alive, 900 days
342.4
DO45247
31 years, female, NA, stage:2, alive, 210 days
317.1
DO45119
74 years, male, NA, stage:3, dead, 510 days
294.5
DO23519
65 years, male, NA, stage:3, alive, 630 days
283.5
DO45185
89 years, male, NA, stage:2, alive, 600 days
273.1
DO45251
57 years, female, NA, stage:2, alive, 900 days
257.9
DO50825
70 years, male, NA, stage:2, alive, 390 days
247.5
DO45249
57 years, male, NA, stage:1, alive, 630 days
238.4
DO45275
65 years, male, NA, stage:3, dead, 10 days
209.9
DO45093
71 years, male, NA, stage:2, dead, 720 days
203.8
DO23552
80 years, female, NA, stage:1, alive, 810 days
198.9
DO23508
79 years, female, NA, stage:2, alive, 390 days
198.0
DO23515
71 years, male, NA, stage:2, alive, 1230 days
194.6
DO45193
68 years, female, NA, stage:4, dead, 120 days
185.6
DO50844
75 years, male, NA, stage:4, alive, 300 days
178.9
DO48741
64 years, male, NA, stage:3, alive, 240 days
178.4
DO45301
56 years, male, NA, stage:2, dead, 1440 days
171.3
DO50799
66 years, female, NA, stage:2, alive, 540 days
168.9
DO23526
66 years, male, NA, stage:3, alive, 1050 days
142.9
DO23513
76 years, male, NA, stage:3, alive, 1200 days
137.1
DO50785
37 years, male, NA, stage:4, dead, 90 days
125.0
DO50829
78 years, male, NA, stage:3, alive, 570 days
122.6
DO45209
70 years, male, NA, stage:4, alive, 1350 days
116.7
DO45205
67 years, female, NA, stage:2, dead, 90 days
114.0
DO45283
60 years, male, NA, stage:3, alive, 510 days
96.7
DO50815
62 years, male, NA, stage:3, alive, 150 days
80.1
DO45279
67 years, male, NA, stage:3, alive, 1290 days
69.3
DO45305
66 years, male, NA, stage:4, alive, 300 days
52.6
DO45289
78 years, female, NA, stage:3, alive, 360 days
49.0
DO45127
73 years, male, NA, stage:3, dead, 420 days
44.6
DO45287
74 years, male, NA, stage:1, alive, 390 days
41.7
DO45145
78 years, male, NA, stage:3, dead, 60 days
39.2
DO48747
62 years, male, NA, stage:3, alive, 540 days
36.8
DO45259
65 years, male, NA, stage:3, alive, 330 days
33.4
DO48757
68 years, female, NA, stage:3, alive, 480 days
29.4
DO45307
54 years, female, NA, stage:4, dead, 240 days
28.7
DO45277
64 years, male, NA, stage:3, alive, 600 days
22.1
DO45189
85 years, female, NA, stage:2, alive, 1200 days
20.5
DO23523
52 years, male, NA, stage:3, alive, 1080 days
16.0
DO45297
61 years, female, NA, stage:4, dead, 1260 days
10.4
DO45245
75 years, female, NA, stage:2, dead, 240 days
9.0
DO45285
59 years, male, NA, stage:3, alive, 480 days
7.4
DO45303
62 years, female, NA, stage:3, alive, 990 days
4.1
DO45299
70 years, female, NA, stage:1, alive, 1440 days
4.0
DO45211
76 years, male, NA, stage:3, alive, 240 days
2.4
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
343
Tumor
1.5
877
Tumor
1.3
425
Tumor
1.2
135
Tumor
1.1
192
Normal
1.1
112
Tumor
1.0
813
Tumor
0.9
445
Tumor
0.7
671
Tumor
0.7
863
Tumor
0.7
697
Tumor
0.7
665
Tumor
0.6
1045
Tumor
0.6
745
Tumor
0.6
391
Tumor
0.6
713
Tumor
0.6
224
Normal
0.6
615
Tumor
0.6
393
Tumor
0.6
778
Normal
0.5
375
Tumor
0.5
672
Normal
0.5
354
Normal
0.5
1041
Tumor
0.5
217
Tumor
0.5
125
Tumor
0.4
884
Normal
0.4
395
Tumor
0.4
137
Tumor
0.4
384
Normal
0.4
635
Tumor
0.4
444
Normal
0.4
344
Normal
0.4
342
Normal
0.4
232
Normal
0.4
857
Tumor
0.4
777
Tumor
0.4
636
Normal
0.4
364
Normal
0.4
396
Normal
0.4
568
Normal
0.3
392
Normal
0.3
536
Normal
0.3
558
Normal
0.3
368
Normal
0.3
228
Normal
0.3
142
Normal
0.3
1022
Normal
0.3
452
Normal
0.3
572
Normal
0.3
341
Tumor
0.3
218
Normal
0.3
1044
Normal
0.3
818
Normal
0.3
352
Normal
0.3
785
Tumor
0.3
113
Tumor
0.3
431
Tumor
0.3
981
Tumor
0.3
353
Tumor
0.3
148
Normal
0.3
642
Normal
0.3
744
Normal
0.3
746
Normal
0.3
618
Normal
0.3
426
Normal
0.3
223
Tumor
0.3
574
Normal
0.3
376
Normal
0.3
924
Normal
0.2
954
Normal
0.2
817
Tumor
0.2
686
Normal
0.2
456
Normal
0.2
535
Tumor
0.2
286
Normal
0.2
498
Normal
0.2
424
Normal
0.2
722
Normal
0.2
468
Normal
0.2
816
Normal
0.2
573
Tumor
0.2
126
Normal
0.2
111
Normal
0.2
187
Tumor
0.2
383
Tumor
0.2
563
Tumor
0.2
695
Tumor
0.2
363
Tumor
0.2
261
Tumor
0.2
526
Normal
0.2
141
Tumor
0.2
557
Tumor
0.2
191
Tumor
0.2
1015
Tumor
0.2
696
Normal
0.2
146
Normal
0.2
414
Normal
0.2
467
Tumor
0.2
358
Normal
0.2
984
Normal
0.2
394
Normal
0.2
327
Tumor
0.2
386
Normal
0.2
145
Tumor
0.2
814
Normal
0.2
1046
Normal
0.2
721
Tumor
0.2
564
Normal
0.1
528
Normal
0.1
514
Normal
0.1
365
Tumor
0.1
938
Normal
0.1
546
Normal
0.1
982
Normal
0.1
862
Normal
0.1
958
Normal
0.1
666
Normal
0.1
432
Normal
0.1
866
Normal
0.1
464
Normal
0.1
882
Normal
0.1
616
Normal
0.1
195
Tumor
0.1
523
Tumor
0.1
878
Normal
0.1
953
Tumor
0.1
647
Tumor
0.1
428
Normal
0.1
488
Normal
0.1
388
Normal
0.1
648
Normal
0.1
423
Tumor
0.1
723
Tumor
0.1
824
Normal
0.1
446
Normal
0.1
858
Normal
0.1
284
Normal
0.1
186
Normal
0.1
1026
Normal
0.1
138
Normal
0.1
196
Normal
0.1
421
Tumor
0.1
455
Tumor
0.1
737
Tumor
0.1
422
Normal
0.1
221
Tumor
0.1
968
Normal
0.1
823
Tumor
0.1
124
Normal
0.1
627
Tumor
0.1
786
Normal
0.1
937
Tumor
0.1
448
Normal
0.1
663
Tumor
0.1
297
Tumor
0.1
742
Normal
0.1
741
Tumor
0.0
494
Normal
0.0
517
Tumor
0.0
628
Normal
0.0
114
Normal
0.0
738
Normal
0.0
864
Normal
0.0
268
Normal
0.0
571
Tumor
0.0
451
Tumor
0.0
515
Tumor
0.0
527
Tumor
0.0
136
Normal
0.0
716
Normal
0.0
132
Normal
0.0
524
Normal
0.0
956
Normal
0.0
1042
Normal
0.0
462
Normal
0.0
952
Normal
0.0
912
Normal
0.0
332
Normal
0.0
868
Normal
0.0
756
Normal
0.0
914
Normal
0.0
728
Normal
0.0
915
Tumor
0.0
466
Normal
0.0
312
Normal
0.0
147
Tumor
0.0
162
Normal
0.0
685
Tumor
0.0
881
Tumor
0.0
185
Tumor
0.0
214
Normal
0.0
262
Normal
0.0
298
Normal
0.0
922
Normal
0.0
714
Normal
0.0
461
Tumor
0.0
487
Tumor
0.0
1028
Normal
0.0
188
Normal
0.0
975
Tumor
0.0
474
Normal
0.0
554
Normal
0.0
314
Normal
0.0
662
Normal
0.0
918
Normal
0.0
553
Tumor
-0.1
328
Normal
-0.1
944
Normal
-0.1
257
Tumor
-0.1
664
Normal
-0.1
983
Tumor
-0.1
433
Tumor
-0.1
1016
Normal
-0.1
258
Normal
-0.1
172
Normal
-0.1
916
Normal
-0.1
617
Tumor
-0.1
447
Tumor
-0.1
715
Tumor
-0.1
283
Tumor
-0.1
465
Tumor
-0.1
222
Normal
-0.1
434
Normal
-0.1
212
Normal
-0.1
641
Tumor
-0.1
416
Normal
-0.1
484
Normal
-0.1
472
Normal
-0.1
443
Tumor
-0.1
538
Normal
-0.1
1014
Normal
-0.1
366
Normal
-0.1
698
Normal
-0.1
883
Tumor
-0.1
516
Normal
-0.1
481
Tumor
-0.1
874
Normal
-0.1
128
Normal
-0.1
852
Normal
-0.1
1043
Tumor
-0.1
851
Tumor
-0.1
463
Tumor
-0.1
926
Normal
-0.1
917
Tumor
-0.1
755
Tumor
-0.1
492
Normal
-0.2
861
Tumor
-0.2
356
Normal
-0.2
272
Normal
-0.2
534
Normal
-0.2
976
Normal
-0.2
967
Tumor
-0.2
436
Normal
-0.2
227
Tumor
-0.2
513
Tumor
-0.2
278
Normal
-0.2
525
Tumor
-0.2
267
Tumor
-0.2
482
Normal
-0.2
913
Tumor
-0.2
471
Tumor
-0.2
518
Normal
-0.2
873
Tumor
-0.2
1021
Tumor
-0.2
412
Normal
-0.2
815
Tumor
-0.2
362
Normal
-0.2
161
Tumor
-0.2
311
Tumor
-0.2
567
Tumor
-0.2
361
Tumor
-0.2
478
Normal
-0.2
285
Tumor
-0.3
213
Tumor
-0.3
491
Tumor
-0.3
727
Tumor
-0.3
966
Normal
-0.3
1032
Normal
-0.3
415
Tumor
-0.3
545
Tumor
-0.3
923
Tumor
-0.3
911
Tumor
-0.3
957
Tumor
-0.3
867
Tumor
-0.3
977
Tumor
-0.3
413
Tumor
-0.3
351
Tumor
-0.3
427
Tumor
-0.3
943
Tumor
-0.3
964
Normal
-0.3
865
Tumor
-0.3
743
Tumor
-0.4
955
Tumor
-0.4
724
Normal
-0.4
387
Tumor
-0.4
978
Normal
-0.4
331
Tumor
-0.4
367
Tumor
-0.4
277
Tumor
-0.4
483
Tumor
-0.4
1025
Tumor
-0.4
497
Tumor
-0.4
355
Tumor
-0.5
131
Tumor
-0.5
921
Tumor
-0.5
271
Tumor
-0.5
127
Tumor
-0.5
357
Tumor
-0.6
477
Tumor
-0.6
123
Tumor
-0.6
231
Tumor
-0.6
951
Tumor
-0.6
385
Tumor
-0.6
963
Tumor
-0.6
411
Tumor
-0.6
965
Tumor
-0.7
493
Tumor
-0.8
435
Tumor
-0.8
925
Tumor
-0.8
171
Tumor
-0.8
1027
Tumor
-0.9
313
Tumor
-0.9
533
Tumor
-1.0
1013
Tumor
-1.0
1031
Tumor
-1.0
211
Tumor
-1.1
661
Tumor
-1.2
537
Tumor
-1.3
473
Tumor
-1.4
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
