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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.
DCXR 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
886.6
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
7234.5
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
5143.6
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
4979.4
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
4274.9
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
3920.3
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
3913.5
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
3722.3
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
3565.8
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
3421.2
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
3227.4
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
3196.8
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
3034.3
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
3002.3
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
3001.6
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
2979.2
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
2895.9
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
2842.5
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
2819.2
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
2778.3
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
2775.5
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
2762.6
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
2671.7
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
2655.5
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
2580.8
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
2529.6
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
2481.5
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
2401.1
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
2393.0
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
2365.5
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
2267.1
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
2242.6
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
2206.7
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
2177.5
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
2170.9
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
2131.9
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
2127.9
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
2104.4
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
2059.3
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
2021.7
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
2004.7
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1978.0
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
1956.0
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
1942.8
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1928.7
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
1898.6
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1861.9
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
1861.6
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
1852.9
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1844.2
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
1825.7
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
1783.1
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
1759.4
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
1747.6
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
1734.8
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
1725.7
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
1709.7
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
1675.7
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
1664.8
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
1658.1
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
1651.3
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
1609.8
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1595.8
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
1584.1
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1575.0
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
1570.8
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
1564.6
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1555.7
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
1538.6
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
1504.4
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1500.5
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1495.7
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1489.5
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
1482.4
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
1469.4
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1447.8
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
1438.7
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
1421.9
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1415.7
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1388.4
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
1373.1
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
1371.4
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
1361.8
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
1345.9
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
1272.6
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1258.4
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
1256.3
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
1248.7
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
1237.7
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1236.1
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
1217.8
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
1216.1
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1196.1
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1151.6
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
1150.0
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
1146.0
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1131.9
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
1126.2
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
1125.2
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1092.7
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
1067.9
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1046.8
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
1031.1
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
1024.2
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
1008.8
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
999.2
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
998.1
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
989.1
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
984.3
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
977.2
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
971.2
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
965.6
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
965.4
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
954.2
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
949.6
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
948.0
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
946.3
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
941.6
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
912.4
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
902.6
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
898.8
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
884.5
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
884.4
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
880.3
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
880.0
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
877.6
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
874.4
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
872.2
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
857.3
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
853.8
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
849.1
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
845.0
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
837.5
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
834.2
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
834.2
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
820.6
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
820.0
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
816.7
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
815.1
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
815.1
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
812.0
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
808.3
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
799.3
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
795.2
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
787.8
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
785.9
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
774.9
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
766.7
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
761.5
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
741.8
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
741.6
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
723.8
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
713.5
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
703.6
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
695.2
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
694.3
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
688.4
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
675.4
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
662.3
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
659.3
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
658.9
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
657.8
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
650.6
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
648.0
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
637.8
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
634.0
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
630.6
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
629.3
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
626.5
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
624.5
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
615.9
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
613.3
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
604.2
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
604.1
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
601.9
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
591.3
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
584.4
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
575.1
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
574.2
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
572.6
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
570.9
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
567.0
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
554.1
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
552.1
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
550.6
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
543.9
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
535.7
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
529.2
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
525.1
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
525.1
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
520.2
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
517.8
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
506.0
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
504.5
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
502.8
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
501.9
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
481.4
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
473.6
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
465.3
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
464.8
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
457.6
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
455.0
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
446.3
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
443.1
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
441.7
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
439.8
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
439.2
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
438.8
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
434.9
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
428.7
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
427.7
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
421.8
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
421.8
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
420.3
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
418.8
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
416.8
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
416.1
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
409.9
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
408.5
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
406.2
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
400.4
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
397.6
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
389.2
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
386.7
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
386.1
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
383.8
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
381.3
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
378.8
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
373.9
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
373.7
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
373.4
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
369.7
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
369.5
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
366.3
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
366.2
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
359.1
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
357.9
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
355.3
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
347.0
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
344.1
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
340.8
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
336.7
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
333.5
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
332.4
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
326.6
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
324.3
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
322.6
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
320.9
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
320.4
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
319.8
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
317.7
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
312.9
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
312.5
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
308.1
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
304.3
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
303.2
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
301.4
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
298.5
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
292.1
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
285.7
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
278.7
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
277.4
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
277.2
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
273.1
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
268.1
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
262.1
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
261.9
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
259.6
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
259.0
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
254.5
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
250.9
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
248.8
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
246.2
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
246.1
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
240.7
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
236.5
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
235.9
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
234.2
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
231.0
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
230.3
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
223.5
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
222.0
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
221.6
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
220.1
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
218.0
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
215.8
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
215.7
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
211.3
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
210.9
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
209.7
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
207.6
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
199.3
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
199.3
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
192.8
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
190.3
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
189.8
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
189.3
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
188.6
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
187.8
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
183.5
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
181.6
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
179.3
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
178.7
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
176.2
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
175.3
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
173.4
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
172.9
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
172.6
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
172.1
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
171.8
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
170.1
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
168.9
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
166.5
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
165.4
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
158.2
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
156.6
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
151.5
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
146.5
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
146.5
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
145.1
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
141.8
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
137.7
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
135.9
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
133.5
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
123.7
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
122.4
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
121.7
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
121.4
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
118.2
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
115.4
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
110.8
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
107.7
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
104.4
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
101.7
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
99.4
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
93.9
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
93.6
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
92.9
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
91.2
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
90.8
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
88.1
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
82.9
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
79.5
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
77.4
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
75.4
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
74.0
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
72.2
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
70.4
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
69.8
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
69.0
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
67.2
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
66.9
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
63.3
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
60.2
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
54.7
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
53.2
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
51.6
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
48.6
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
39.3
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
38.0
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
34.2
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
23.8
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 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.
DCXR 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
1097.0
Number of samples
231
Samples
Sample
Description
pTPM
DO50822
66 years, male, NA, stage:2, alive, 510 days
8118.8
DO50816
63 years, male, NA, stage:2, alive, 390 days
7980.7
DO50814
83 years, male, NA, stage:3, alive, 420 days
6224.0
DO50839
47 years, female, NA, stage:3, alive, 330 days
5801.1
DO45175
74 years, male, NA, stage:2, alive, 1140 days
5402.7
DO48759
73 years, male, NA, stage:3, alive, 720 days
4684.3
DO23548
78 years, female, NA, stage:1, alive, 840 days
4545.4
DO50802
49 years, male, NA, stage:2, alive, 930 days
4426.7
DO45255
81 years, male, NA, stage:3, alive, 720 days
4158.6
DO45125
58 years, male, NA, stage:3, alive, 1680 days
4135.5
DO23539
77 years, male, NA, stage:1, alive, 1110 days
3912.1
DO45133
64 years, male, NA, stage:3, dead, 660 days
3681.7
DO23536
56 years, male, NA, stage:2, alive, 930 days
3587.6
DO50832
73 years, male, NA, stage:3, alive, 90 days
3543.2
DO45129
61 years, male, NA, stage:3, alive, 1470 days
3515.9
DO50817
75 years, male, NA, stage:2, alive, 390 days
3443.7
DO23533
61 years, male, NA, stage:2, alive, 900 days
3422.5
DO23534
60 years, male, NA, stage:2, alive, 840 days
3151.8
DO48719
80 years, male, NA, stage:2, alive, 690 days
3141.7
DO45163
76 years, male, NA, stage:2, alive, 960 days
2960.8
DO45281
83 years, male, NA, stage:4, alive, 750 days
2838.4
DO50818
65 years, male, NA, stage:2, alive, 510 days
2745.6
DO48677
58 years, male, NA, stage:3, alive, 1140 days
2736.5
DO23549
74 years, male, NA, stage:3, alive, 990 days
2720.7
DO50825
70 years, male, NA, stage:2, alive, 390 days
2717.7
DO23525
71 years, male, NA, stage:4, alive, 1050 days
2661.2
DO48674
80 years, male, NA, stage:2, alive, 1260 days
2527.6
DO48695
77 years, male, NA, stage:2, alive, 720 days
2527.4
DO23532
71 years, female, NA, stage:1, alive, 960 days
2525.0
DO50804
81 years, male, NA, stage:2, alive, 720 days
2492.9
DO50813
56 years, male, NA, stage:2, alive, 420 days
2449.1
DO48693
71 years, male, NA, stage:2, alive, 900 days
2207.7
DO227643
79 years, male, NA, stage:2, alive, 1260 days
2162.9
DO50787
63 years, male, NA, stage:3, alive, 480 days
2119.9
DO45097
69 years, male, NA, stage:3, alive, 1620 days
2057.3
DO45101
63 years, male, NA, stage:2, alive, 1680 days
2038.7
DO50840
49 years, male, NA, stage:2, alive, 330 days
2017.7
DO23542
66 years, male, NA, stage:3, alive, 960 days
1972.7
DO48672
81 years, male, NA, stage:2, alive, 450 days
1898.1
DO45195
62 years, male, NA, stage:1, alive, 390 days
1864.3
DO45117
73 years, female, NA, stage:2, dead, 1110 days
1848.6
DO45215
65 years, male, NA, stage:2, alive, 1170 days
1828.4
DO45261
74 years, male, NA, stage:3, alive, 990 days
1813.7
DO23529
72 years, male, NA, stage:4, alive, 930 days
1786.4
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1744.2
DO23543
63 years, male, NA, stage:2, alive, 1020 days
1699.9
DO50789
73 years, female, NA, stage:2, alive, 570 days
1681.5
DO48721
58 years, female, NA, stage:1, alive, 900 days
1649.1
DO23546
63 years, male, NA, stage:2, alive, 1050 days
1618.7
DO23544
67 years, male, NA, stage:2, alive, 960 days
1604.7
DO50783
62 years, male, NA, stage:3, alive, 480 days
1596.9
DO45107
63 years, female, NA, stage:2, alive, 1710 days
1503.3
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1487.6
DO48716
71 years, male, NA, stage:2, alive, 720 days
1428.2
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1424.4
DO45167
67 years, male, NA, stage:2, dead, 1440 days
1419.2
DO50807
67 years, male, NA, stage:1, alive, 540 days
1376.8
DO23511
83 years, female, NA, stage:3, dead, 180 days
1351.6
DO48701
78 years, male, NA, stage:2, alive, 780 days
1325.0
DO45105
61 years, male, NA, stage:1, alive, 1680 days
1304.9
DO45111
74 years, male, NA, stage:2, alive, 1590 days
1251.7
DO23540
73 years, male, NA, stage:1, alive, 750 days
1240.3
DO23512
60 years, male, NA, stage:1, alive, 1260 days
1220.1
DO48742
76 years, male, NA, stage:2, alive, 600 days
1195.8
DO50859
77 years, male, NA, stage:2, alive, 180 days
1184.5
DO48741
64 years, male, NA, stage:3, alive, 240 days
1184.4
DO23528
45 years, female, NA, stage:2, alive, 1020 days
1168.4
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1143.1
DO23517
62 years, male, NA, stage:2, alive, 1200 days
1132.3
DO23516
69 years, male, NA, stage:3, dead, 20 days
1131.6
DO45229
74 years, male, NA, stage:1, alive, 990 days
1119.8
DO50811
62 years, male, NA, stage:1, alive, 450 days
1115.6
DO48681
57 years, male, NA, stage:2, alive, 900 days
1101.6
DO45227
57 years, female, NA, stage:2, alive, 1020 days
1095.8
DO45181
84 years, female, NA, stage:2, alive, 1200 days
1077.2
DO23509
60 years, male, NA, stage:3, dead, 780 days
1074.0
DO45253
50 years, male, NA, stage:2, alive, 870 days
1072.6
DO23513
76 years, male, NA, stage:3, alive, 1200 days
1071.5
DO45171
56 years, male, NA, stage:3, alive, 600 days
1032.7
DO45099
46 years, male, NA, stage:3, alive, 1590 days
1020.7
DO50776
75 years, male, NA, stage:1, alive, 690 days
1014.5
DO45113
58 years, male, NA, stage:3, alive, 1560 days
1003.5
DO23541
65 years, male, NA, stage:2, alive, 930 days
990.8
DO45241
49 years, male, NA, stage:1, alive, 1080 days
976.7
DO23527
72 years, male, NA, stage:1, alive, 1050 days
926.6
DO48757
68 years, female, NA, stage:3, alive, 480 days
913.2
DO48706
72 years, male, NA, stage:2, alive, 870 days
908.8
DO45153
77 years, female, NA, stage:2, alive, 1380 days
908.6
DO45093
71 years, male, NA, stage:2, dead, 720 days
894.6
DO45109
63 years, male, NA, stage:2, alive, 1590 days
889.4
DO48727
81 years, female, NA, stage:2, dead, 390 days
885.0
DO45149
70 years, female, NA, stage:2, alive, 1260 days
881.7
DO50791
79 years, female, NA, stage:1, dead, 480 days
865.8
DO50809
56 years, male, NA, stage:3, dead, 720 days
860.9
DO45123
78 years, female, NA, stage:2, dead, 570 days
846.8
DO48704
68 years, female, NA, stage:3, alive, 750 days
838.0
DO23550
69 years, male, NA, stage:1, alive, 990 days
805.6
DO50798
77 years, male, NA, stage:3, dead, 30 days
805.2
DO50808
68 years, male, NA, stage:2, alive, 570 days
799.0
DO45179
78 years, female, NA, stage:2, alive, 600 days
798.0
DO45199
86 years, female, NA, stage:2, alive, 1350 days
797.5
DO23531
78 years, female, NA, stage:3, alive, 900 days
775.5
DO45267
73 years, male, NA, stage:3, dead, 570 days
771.0
DO45235
68 years, female, NA, stage:1, alive, 900 days
770.4
DO48746
76 years, male, NA, stage:3, alive, 570 days
749.9
DO50857
72 years, male, NA, stage:2, alive, 210 days
735.7
DO45207
68 years, male, NA, stage:1, alive, 1050 days
724.3
DO48737
52 years, male, NA, stage:1, alive, 720 days
708.1
DO50793
76 years, male, NA, stage:4, alive, 540 days
695.4
DO23526
66 years, male, NA, stage:3, alive, 1050 days
688.4
DO45094
76 years, male, NA, stage:3, alive, 1650 days
681.1
DO23538
67 years, male, NA, stage:2, alive, 450 days
673.1
DO48715
58 years, female, NA, stage:2, dead, 690 days
662.8
DO50819
72 years, female, NA, stage:2, alive, 510 days
654.9
DO45273
62 years, male, NA, stage:2, alive, 480 days
637.5
DO48760
70 years, female, NA, stage:2, alive, 690 days
630.9
DO45143
69 years, male, NA, stage:3, alive, 1290 days
617.6
DO48751
68 years, male, NA, stage:2, dead, 480 days
608.8
DO48723
73 years, male, NA, stage:1, alive, 600 days
602.9
DO45119
74 years, male, NA, stage:3, dead, 510 days
590.7
DO45096
69 years, male, NA, stage:2, dead, 1290 days
580.8
DO23547
74 years, male, NA, stage:1, alive, 1020 days
552.9
DO45201
49 years, male, NA, stage:1, alive, 900 days
535.9
DO45193
68 years, female, NA, stage:4, dead, 120 days
534.6
DO45233
83 years, male, NA, stage:3, alive, 900 days
528.6
DO48733
72 years, male, NA, stage:2, alive, 600 days
511.8
DO48700
78 years, female, NA, stage:2, alive, 810 days
508.1
DO48732
73 years, male, NA, stage:3, alive, 630 days
506.0
DO50774
68 years, female, NA, stage:2, alive, 720 days
505.9
DO50806
70 years, male, NA, stage:4, alive, 540 days
499.8
DO23551
73 years, male, NA, stage:3, dead, 150 days
498.4
DO23508
79 years, female, NA, stage:2, alive, 390 days
496.3
DO50800
74 years, male, NA, stage:2, alive, 510 days
495.6
DO45155
69 years, male, NA, stage:2, alive, 2160 days
493.5
DO45169
74 years, male, NA, stage:3, alive, 1350 days
483.0
DO45225
69 years, male, NA, stage:1, alive, 1050 days
481.4
DO227801
77 years, female, NA, stage:1, alive, 660 days
480.8
DO50805
72 years, male, NA, stage:2, alive, 690 days
463.5
DO45131
53 years, male, NA, stage:4, dead, 360 days
456.2
DO50850
74 years, male, NA, stage:3, alive, 720 days
455.9
DO23537
79 years, male, NA, stage:2, dead, 900 days
455.3
DO45243
74 years, female, NA, stage:3, alive, 930 days
455.2
DO23545
67 years, male, NA, stage:2, dead, 570 days
447.3
DO45197
51 years, male, NA, stage:2, alive, 1170 days
436.6
DO50844
75 years, male, NA, stage:4, alive, 300 days
432.1
DO48697
64 years, female, NA, stage:2, dead, 810 days
421.8
DO23535
67 years, male, NA, stage:1, alive, 960 days
417.0
DO50799
66 years, female, NA, stage:2, alive, 540 days
416.3
DO45223
67 years, male, NA, stage:4, alive, 1020 days
408.5
DO50803
62 years, female, NA, stage:1, alive, 540 days
389.3
DO45103
47 years, male, NA, stage:3, alive, 450 days
386.6
DO45141
73 years, male, NA, stage:2, alive, 1320 days
378.7
DO45217
69 years, female, NA, stage:3, dead, 270 days
375.9
DO48712
50 years, male, NA, stage:2, alive, 810 days
368.3
DO45161
74 years, male, NA, stage:2, dead, 540 days
362.6
DO45209
70 years, male, NA, stage:4, alive, 1350 days
356.7
DO45173
63 years, male, NA, stage:3, alive, 1170 days
352.5
DO48743
69 years, female, NA, stage:2, alive, 570 days
338.5
DO48761
55 years, male, NA, stage:2, alive, 870 days
336.4
DO45092
62 years, male, NA, stage:4, dead, 1200 days
330.2
DO45237
58 years, male, NA, stage:2, alive, 900 days
325.9
DO45115
81 years, male, NA, stage:2, alive, 840 days
325.1
DO23518
67 years, male, NA, stage:2, alive, 1320 days
314.2
DO45221
75 years, female, NA, stage:4, dead, 390 days
300.9
DO48736
76 years, female, NA, stage:1, alive, 600 days
298.9
DO45127
73 years, male, NA, stage:3, dead, 420 days
298.8
DO45231
84 years, male, NA, stage:2, alive, 930 days
286.0
DO45219
78 years, male, NA, stage:2, alive, 1080 days
285.7
DO45185
89 years, male, NA, stage:2, alive, 600 days
277.9
DO50785
37 years, male, NA, stage:4, dead, 90 days
273.2
DO45159
65 years, male, NA, stage:3, alive, 1470 days
271.8
DO45139
63 years, male, NA, stage:3, alive, 1320 days
267.4
DO50845
72 years, male, NA, stage:3, alive, 210 days
256.3
DO45165
75 years, male, NA, stage:2, alive, 690 days
256.0
DO45257
46 years, male, NA, stage:3, alive, 810 days
250.7
DO50820
77 years, female, NA, stage:3, alive, 510 days
246.5
DO23552
80 years, female, NA, stage:1, alive, 810 days
245.0
DO45091
56 years, male, NA, stage:2, dead, 1320 days
244.1
DO48725
66 years, male, NA, stage:1, alive, 780 days
243.3
DO23510
80 years, female, NA, stage:2, alive, 870 days
240.4
DO45137
38 years, male, NA, stage:1, alive, 1320 days
232.9
DO48717
54 years, male, NA, stage:4, dead, 180 days
226.0
DO45211
76 years, male, NA, stage:3, alive, 240 days
222.6
DO45251
57 years, female, NA, stage:2, alive, 900 days
217.6
DO50829
78 years, male, NA, stage:3, alive, 570 days
210.2
DO50855
47 years, male, NA, stage:2, alive, 570 days
209.3
DO45299
70 years, female, NA, stage:1, alive, 1440 days
208.3
DO48682
72 years, female, NA, stage:3, dead, 120 days
206.5
DO45121
61 years, male, NA, stage:3, alive, 1530 days
201.3
DO48747
62 years, male, NA, stage:3, alive, 540 days
193.6
DO23530
53 years, male, NA, stage:4, dead, 180 days
191.5
DO45301
56 years, male, NA, stage:2, dead, 1440 days
185.8
DO45249
57 years, male, NA, stage:1, alive, 630 days
182.7
DO45269
59 years, male, NA, stage:3, alive, 750 days
181.9
DO45157
62 years, male, NA, stage:2, alive, 1980 days
177.8
DO23519
65 years, male, NA, stage:3, alive, 630 days
168.7
DO45247
31 years, female, NA, stage:2, alive, 210 days
168.5
DO45135
77 years, male, NA, stage:1, alive, 1410 days
167.2
DO50815
62 years, male, NA, stage:3, alive, 150 days
166.1
DO45213
58 years, male, NA, stage:1, alive, 1200 days
163.3
DO45183
72 years, female, NA, stage:2, dead, 570 days
153.3
DO23521
63 years, male, NA, stage:3, alive, 1110 days
151.0
DO45145
78 years, male, NA, stage:3, dead, 60 days
150.6
DO45263
67 years, male, NA, stage:3, dead, 270 days
149.7
DO23515
71 years, male, NA, stage:2, alive, 1230 days
147.3
DO45187
32 years, female, NA, stage:1, alive, 1260 days
142.3
DO48730
73 years, female, NA, stage:2, alive, 630 days
141.2
DO23523
52 years, male, NA, stage:3, alive, 1080 days
136.8
DO45239
42 years, male, NA, stage:2, alive, 870 days
131.2
DO45283
60 years, male, NA, stage:3, alive, 510 days
127.8
DO45287
74 years, male, NA, stage:1, alive, 390 days
123.9
DO45275
65 years, male, NA, stage:3, dead, 10 days
120.6
DO45265
73 years, male, NA, stage:3, alive, 1020 days
115.7
DO50778
60 years, male, NA, stage:4, alive, 630 days
115.0
DO45191
61 years, female, NA, stage:2, alive, 1200 days
112.1
DO45203
71 years, female, NA, stage:2, alive, 1170 days
104.2
DO48720
62 years, female, NA, stage:2, alive, 570 days
93.1
DO45297
61 years, female, NA, stage:4, dead, 1260 days
92.5
DO45277
64 years, male, NA, stage:3, alive, 600 days
90.0
DO23524
71 years, female, NA, stage:2, alive, 1050 days
84.4
DO45205
67 years, female, NA, stage:2, dead, 90 days
82.4
DO45245
75 years, female, NA, stage:2, dead, 240 days
81.7
DO45305
66 years, male, NA, stage:4, alive, 300 days
80.3
DO45289
78 years, female, NA, stage:3, alive, 360 days
77.8
DO48728
74 years, female, NA, stage:2, alive, 150 days
77.4
DO45307
54 years, female, NA, stage:4, dead, 240 days
75.8
DO45285
59 years, male, NA, stage:3, alive, 480 days
72.1
DO45259
65 years, male, NA, stage:3, alive, 330 days
67.6
DO45279
67 years, male, NA, stage:3, alive, 1290 days
64.3
DO45189
85 years, female, NA, stage:2, alive, 1200 days
54.9
DO45303
62 years, female, NA, stage:3, alive, 990 days
48.9
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
741
Tumor
1.3
981
Tumor
1.1
222
Normal
1.1
128
Normal
1.1
172
Normal
1.0
196
Normal
1.0
132
Normal
1.0
484
Normal
1.0
648
Normal
0.9
342
Normal
0.9
162
Normal
0.9
452
Normal
0.9
627
Tumor
0.9
366
Normal
0.9
436
Normal
0.8
278
Normal
0.8
464
Normal
0.8
867
Tumor
0.8
466
Normal
0.8
824
Normal
0.8
618
Normal
0.8
938
Normal
0.8
258
Normal
0.8
742
Normal
0.8
414
Normal
0.8
568
Normal
0.8
394
Normal
0.7
358
Normal
0.7
298
Normal
0.7
232
Normal
0.7
314
Normal
0.7
272
Normal
0.7
534
Normal
0.7
432
Normal
0.7
636
Normal
0.7
746
Normal
0.7
915
Tumor
0.7
148
Normal
0.7
878
Normal
0.7
388
Normal
0.7
376
Normal
0.7
448
Normal
0.7
465
Tumor
0.7
114
Normal
0.7
396
Normal
0.7
698
Normal
0.7
136
Normal
0.6
138
Normal
0.6
186
Normal
0.6
462
Normal
0.6
564
Normal
0.6
356
Normal
0.6
786
Normal
0.6
112
Tumor
0.6
858
Normal
0.6
332
Normal
0.6
446
Normal
0.6
744
Normal
0.6
572
Normal
0.6
428
Normal
0.6
482
Normal
0.6
111
Normal
0.6
862
Normal
0.6
426
Normal
0.6
714
Normal
0.6
911
Tumor
0.6
616
Normal
0.6
628
Normal
0.6
1022
Normal
0.6
664
Normal
0.6
468
Normal
0.6
914
Normal
0.6
738
Normal
0.5
882
Normal
0.5
422
Normal
0.5
861
Tumor
0.5
424
Normal
0.5
488
Normal
0.5
864
Normal
0.5
228
Normal
0.5
666
Normal
0.5
412
Normal
0.5
546
Normal
0.5
642
Normal
0.5
456
Normal
0.5
1026
Normal
0.5
392
Normal
0.5
756
Normal
0.5
662
Normal
0.5
866
Normal
0.5
362
Normal
0.5
477
Tumor
0.5
912
Normal
0.4
354
Normal
0.4
696
Normal
0.4
494
Normal
0.4
423
Tumor
0.4
472
Normal
0.4
818
Normal
0.4
944
Normal
0.4
816
Normal
0.4
1032
Normal
0.4
431
Tumor
0.4
1016
Normal
0.4
474
Normal
0.4
922
Normal
0.4
518
Normal
0.4
312
Normal
0.4
142
Normal
0.4
728
Normal
0.4
352
Normal
0.4
1046
Normal
0.4
574
Normal
0.4
982
Normal
0.4
722
Normal
0.4
214
Normal
0.4
964
Normal
0.4
344
Normal
0.3
364
Normal
0.3
286
Normal
0.3
723
Tumor
0.3
924
Normal
0.3
328
Normal
0.3
124
Normal
0.3
976
Normal
0.3
1041
Tumor
0.3
926
Normal
0.3
526
Normal
0.3
146
Normal
0.3
884
Normal
0.3
874
Normal
0.3
1014
Normal
0.3
516
Normal
0.3
368
Normal
0.2
686
Normal
0.2
416
Normal
0.2
1028
Normal
0.2
126
Normal
0.2
262
Normal
0.2
558
Normal
0.2
261
Tumor
0.2
361
Tumor
0.2
386
Normal
0.2
433
Tumor
0.2
918
Normal
0.2
435
Tumor
0.2
218
Normal
0.2
966
Normal
0.2
1042
Normal
0.2
284
Normal
0.2
954
Normal
0.1
716
Normal
0.1
958
Normal
0.1
353
Tumor
0.1
554
Normal
0.1
978
Normal
0.1
365
Tumor
0.1
952
Normal
0.1
514
Normal
0.1
956
Normal
0.1
778
Normal
0.1
528
Normal
0.1
984
Normal
0.1
384
Normal
0.0
1044
Normal
0.0
212
Normal
0.0
968
Normal
0.0
672
Normal
0.0
868
Normal
0.0
268
Normal
0.0
444
Normal
0.0
188
Normal
-0.1
481
Tumor
-0.1
451
Tumor
-0.1
852
Normal
-0.1
434
Normal
-0.1
538
Normal
-0.1
755
Tumor
-0.1
141
Tumor
-0.2
615
Tumor
-0.2
695
Tumor
-0.2
224
Normal
-0.2
1027
Tumor
-0.2
123
Tumor
-0.2
478
Normal
-0.2
137
Tumor
-0.2
916
Normal
-0.3
487
Tumor
-0.3
127
Tumor
-0.3
192
Normal
-0.3
955
Tumor
-0.3
873
Tumor
-0.3
171
Tumor
-0.3
492
Normal
-0.3
515
Tumor
-0.3
785
Tumor
-0.3
498
Normal
-0.4
977
Tumor
-0.4
217
Tumor
-0.4
513
Tumor
-0.4
145
Tumor
-0.5
1045
Tumor
-0.5
231
Tumor
-0.5
415
Tumor
-0.5
524
Normal
-0.5
745
Tumor
-0.5
1015
Tumor
-0.5
665
Tumor
-0.5
327
Tumor
-0.6
267
Tumor
-0.6
195
Tumor
-0.6
357
Tumor
-0.6
635
Tumor
-0.6
857
Tumor
-0.6
536
Normal
-0.6
185
Tumor
-0.6
721
Tumor
-0.7
445
Tumor
-0.7
571
Tumor
-0.7
715
Tumor
-0.7
161
Tumor
-0.7
187
Tumor
-0.7
685
Tumor
-0.7
113
Tumor
-0.7
461
Tumor
-0.7
421
Tumor
-0.8
257
Tumor
-0.8
963
Tumor
-0.8
411
Tumor
-0.8
823
Tumor
-0.8
557
Tumor
-0.8
863
Tumor
-0.8
191
Tumor
-0.8
341
Tumor
-0.8
517
Tumor
-0.9
533
Tumor
-0.9
883
Tumor
-0.9
213
Tumor
-0.9
563
Tumor
-1.0
953
Tumor
-1.0
271
Tumor
-1.0
727
Tumor
-1.0
221
Tumor
-1.0
447
Tumor
-1.0
814
Normal
-1.0
443
Tumor
-1.0
227
Tumor
-1.0
463
Tumor
-1.0
925
Tumor
-1.1
297
Tumor
-1.1
641
Tumor
-1.1
777
Tumor
-1.1
467
Tumor
-1.1
387
Tumor
-1.1
553
Tumor
-1.1
473
Tumor
-1.1
913
Tumor
-1.1
393
Tumor
-1.1
125
Tumor
-1.1
391
Tumor
-1.1
147
Tumor
-1.1
1013
Tumor
-1.1
917
Tumor
-1.1
567
Tumor
-1.1
455
Tumor
-1.2
943
Tumor
-1.2
647
Tumor
-1.2
277
Tumor
-1.2
1043
Tumor
-1.2
355
Tumor
-1.2
813
Tumor
-1.2
491
Tumor
-1.2
483
Tumor
-1.3
881
Tumor
-1.3
877
Tumor
-1.3
363
Tumor
-1.3
313
Tumor
-1.3
737
Tumor
-1.3
525
Tumor
-1.3
937
Tumor
-1.3
975
Tumor
-1.3
617
Tumor
-1.3
135
Tumor
-1.3
343
Tumor
-1.3
663
Tumor
-1.3
425
Tumor
-1.3
965
Tumor
-1.4
1031
Tumor
-1.4
413
Tumor
-1.4
713
Tumor
-1.4
427
Tumor
-1.4
923
Tumor
-1.4
921
Tumor
-1.4
1025
Tumor
-1.4
1021
Tumor
-1.4
493
Tumor
-1.5
471
Tumor
-1.5
383
Tumor
-1.5
351
Tumor
-1.5
395
Tumor
-1.5
331
Tumor
-1.5
537
Tumor
-1.5
983
Tumor
-1.5
967
Tumor
-1.6
311
Tumor
-1.6
671
Tumor
-1.6
851
Tumor
-1.6
815
Tumor
-1.6
865
Tumor
-1.6
523
Tumor
-1.6
957
Tumor
-1.6
527
Tumor
-1.6
375
Tumor
-1.7
497
Tumor
-1.7
367
Tumor
-1.7
951
Tumor
-1.7
131
Tumor
-1.7
573
Tumor
-1.8
223
Tumor
-1.8
817
Tumor
-1.8
385
Tumor
-1.8
724
Normal
-1.8
743
Tumor
-1.9
697
Tumor
-1.9
545
Tumor
-2.0
661
Tumor
-2.0
283
Tumor
-2.0
285
Tumor
-2.1
211
Tumor
-2.2
535
Tumor
-2.3
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
