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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.
SERPINC1 is validated prognostic, high expression is favorable in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 1.63
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.000016
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.
55%
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.
36%
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
1905.0
Number of samples
362
Samples
Sample
Description
TPM
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
9465.2
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
7890.3
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
7672.8
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
7413.4
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
7342.6
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
6422.6
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
5925.7
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
5788.9
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
5712.8
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
5703.0
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
5564.8
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
5450.6
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
5386.5
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
5355.8
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
5343.2
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
5225.5
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
5207.1
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
5202.1
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
5165.7
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
5159.1
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
5056.9
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
4952.5
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
4684.7
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
4637.6
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
4591.0
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
4542.8
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
4458.0
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
4405.4
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
4336.4
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
4269.6
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
4236.0
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
4122.0
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
4117.0
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
4044.4
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
3996.3
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
3943.9
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
3812.6
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
3779.6
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
3772.6
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
3767.6
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
3698.0
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
3691.4
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
3684.4
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
3666.0
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
3644.1
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
3587.3
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
3557.3
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
3546.9
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
3544.1
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
3530.4
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
3530.1
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
3529.4
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
3352.8
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
3314.7
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
3278.0
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
3201.8
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
3198.7
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
3178.1
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
3173.6
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
3167.8
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
3161.3
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
3154.5
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
3140.4
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
3124.3
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
3119.9
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
3100.6
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
3099.9
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
3086.0
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
3048.4
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
3034.8
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
2995.7
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
2992.8
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
2984.0
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
2980.0
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
2978.2
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
2969.5
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
2942.9
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
2924.3
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
2906.2
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
2902.2
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
2898.0
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
2869.3
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
2845.2
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
2835.1
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
2818.3
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
2815.6
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
2804.3
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
2787.2
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
2769.6
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
2759.2
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
2744.1
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
2736.0
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
2732.7
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
2684.4
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
2674.2
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
2665.2
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
2638.7
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
2609.3
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
2590.2
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
2518.1
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
2515.6
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
2507.0
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
2503.1
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
2497.8
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
2491.3
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
2484.0
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
2454.7
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
2436.8
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
2436.3
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
2425.4
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
2414.4
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
2407.9
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
2396.0
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
2368.1
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
2347.3
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
2332.8
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
2319.8
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
2305.4
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
2283.1
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
2278.5
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
2274.3
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
2270.7
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
2259.1
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
2253.0
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
2239.1
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
2227.6
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
2224.1
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
2201.6
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
2190.2
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
2183.6
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
2168.5
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
2159.7
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
2150.9
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
2148.1
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
2139.8
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
2135.7
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
2124.0
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
2112.9
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
2111.4
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
2067.1
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
2055.4
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
2040.5
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
2027.9
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
2008.0
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
2006.7
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1969.2
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1950.9
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
1950.0
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
1940.9
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1937.6
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1925.4
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1920.5
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
1920.2
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1915.0
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
1907.9
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
1902.2
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
1896.6
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1891.1
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
1890.5
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1866.1
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
1853.2
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1851.1
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1832.1
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1806.4
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
1795.6
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1794.1
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
1793.6
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1779.6
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
1750.3
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1714.7
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1712.2
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
1687.5
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1660.0
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
1655.2
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
1651.1
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1647.1
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1640.6
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
1634.8
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1631.4
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
1627.1
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
1615.9
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1610.3
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
1601.3
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
1593.1
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1560.4
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
1559.7
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
1543.7
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
1539.0
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1525.3
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
1523.7
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1522.4
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1496.9
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
1489.5
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1487.9
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
1474.1
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
1465.4
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
1456.8
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
1433.4
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1429.9
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
1429.4
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
1426.6
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
1414.2
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1405.8
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
1378.5
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1356.9
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
1350.9
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
1350.8
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1347.6
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1316.1
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1298.6
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1293.8
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1282.9
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
1261.8
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
1257.9
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
1253.7
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1253.7
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1245.6
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1238.4
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1222.2
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
1207.8
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1190.8
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
1162.4
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1151.2
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
1145.3
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
1130.9
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
1122.4
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
1117.2
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1108.0
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
1103.1
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
1096.3
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1074.5
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
1073.0
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1070.2
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
1066.9
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
1063.6
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
1052.3
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
1048.6
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
1039.8
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1012.3
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
996.4
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
986.1
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
984.1
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
976.9
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
973.8
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
972.4
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
961.9
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
956.4
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
936.7
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
932.3
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
909.7
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
908.3
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
898.8
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
898.4
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
888.5
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
873.5
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
872.9
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
866.2
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
860.1
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
859.3
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
837.5
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
836.5
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
832.5
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
830.5
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
827.8
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
810.7
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
795.3
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
791.7
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
786.8
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
785.1
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
783.2
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
764.2
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
728.7
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
722.5
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
722.5
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
684.7
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
681.8
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
680.2
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
678.2
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
667.8
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
666.6
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
653.3
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
651.2
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
625.0
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
608.7
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
606.0
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
605.6
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
589.2
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
576.6
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
566.2
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
565.0
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
514.6
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
488.5
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
479.5
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
478.6
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
475.8
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
455.6
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
451.9
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
439.1
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
428.9
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
426.4
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
406.1
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
403.6
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
386.9
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
386.0
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
385.1
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
376.7
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
367.7
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
362.3
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
361.0
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
348.5
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
321.5
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
308.2
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
307.7
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
303.9
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
298.3
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
275.5
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
269.2
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
255.3
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
216.8
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
215.2
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
213.6
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
211.5
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
195.0
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
188.3
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
173.6
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
141.9
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
129.8
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
127.3
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
122.3
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
119.0
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
118.4
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
110.3
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
102.3
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
97.9
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
97.5
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
96.1
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
82.8
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
69.0
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
68.3
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
50.8
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
49.6
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
47.5
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
42.5
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
41.9
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
39.8
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
32.8
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
32.2
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
24.5
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
16.9
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
3.6
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
3.2
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
2.6
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
2.5
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
2.3
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
2.0
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
1.9
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
1.4
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1.3
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
0.7
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
0.5
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
0.4
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 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.
SERPINC1 is validated prognostic, high expression is favorable in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 2.14
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.00013
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
74%
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
42%
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
1823.1
Number of samples
231
Samples
Sample
Description
TPM
DO48746
76 years, male, NA, stage:3, alive, 570 days
6742.7
DO50783
62 years, male, NA, stage:3, alive, 480 days
6681.1
DO48721
58 years, female, NA, stage:1, alive, 900 days
6271.3
DO45129
61 years, male, NA, stage:3, alive, 1470 days
6035.0
DO45237
58 years, male, NA, stage:2, alive, 900 days
5901.4
DO23538
67 years, male, NA, stage:2, alive, 450 days
5856.7
DO50804
81 years, male, NA, stage:2, alive, 720 days
5561.2
DO45096
69 years, male, NA, stage:2, dead, 1290 days
5387.2
DO48677
58 years, male, NA, stage:3, alive, 1140 days
5322.4
DO48760
70 years, female, NA, stage:2, alive, 690 days
5308.4
DO45199
86 years, female, NA, stage:2, alive, 1350 days
4976.6
DO45133
64 years, male, NA, stage:3, dead, 660 days
4967.0
DO50857
72 years, male, NA, stage:2, alive, 210 days
4831.3
DO45123
78 years, female, NA, stage:2, dead, 570 days
4686.1
DO23509
60 years, male, NA, stage:3, dead, 780 days
4416.2
DO50807
67 years, male, NA, stage:1, alive, 540 days
4371.5
DO45094
76 years, male, NA, stage:3, alive, 1650 days
4332.1
DO50839
47 years, female, NA, stage:3, alive, 330 days
4298.0
DO45207
68 years, male, NA, stage:1, alive, 1050 days
4278.4
DO45257
46 years, male, NA, stage:3, alive, 810 days
4253.8
DO45159
65 years, male, NA, stage:3, alive, 1470 days
4246.9
DO23527
72 years, male, NA, stage:1, alive, 1050 days
4078.3
DO45163
76 years, male, NA, stage:2, alive, 960 days
3952.5
DO45111
74 years, male, NA, stage:2, alive, 1590 days
3917.0
DO45171
56 years, male, NA, stage:3, alive, 600 days
3873.1
DO50808
68 years, male, NA, stage:2, alive, 570 days
3758.1
DO45225
69 years, male, NA, stage:1, alive, 1050 days
3739.7
DO45177
81 years, female, NA, stage:3, alive, 1260 days
3689.7
DO45167
67 years, male, NA, stage:2, dead, 1440 days
3672.1
DO45227
57 years, female, NA, stage:2, alive, 1020 days
3658.3
DO23529
72 years, male, NA, stage:4, alive, 930 days
3656.4
DO23518
67 years, male, NA, stage:2, alive, 1320 days
3601.4
DO48695
77 years, male, NA, stage:2, alive, 720 days
3382.3
DO45125
58 years, male, NA, stage:3, alive, 1680 days
3344.9
DO45201
49 years, male, NA, stage:1, alive, 900 days
3288.8
DO45097
69 years, male, NA, stage:3, alive, 1620 days
3258.3
DO23536
56 years, male, NA, stage:2, alive, 930 days
3240.3
DO45095
66 years, male, NA, stage:2, alive, 1620 days
3225.5
DO45117
73 years, female, NA, stage:2, dead, 1110 days
3218.3
DO23533
61 years, male, NA, stage:2, alive, 900 days
3202.3
DO48704
68 years, female, NA, stage:3, alive, 750 days
3135.9
DO23528
45 years, female, NA, stage:2, alive, 1020 days
3108.7
DO23516
69 years, male, NA, stage:3, dead, 20 days
3096.6
DO50802
49 years, male, NA, stage:2, alive, 930 days
3093.7
DO50776
75 years, male, NA, stage:1, alive, 690 days
3083.3
DO45175
74 years, male, NA, stage:2, alive, 1140 days
3062.0
DO50789
73 years, female, NA, stage:2, alive, 570 days
3026.8
DO50818
65 years, male, NA, stage:2, alive, 510 days
3004.3
DO50832
73 years, male, NA, stage:3, alive, 90 days
2854.2
DO48693
71 years, male, NA, stage:2, alive, 900 days
2833.5
DO23543
63 years, male, NA, stage:2, alive, 1020 days
2811.8
DO227801
77 years, female, NA, stage:1, alive, 660 days
2773.2
DO23531
78 years, female, NA, stage:3, alive, 900 days
2768.2
DO45229
74 years, male, NA, stage:1, alive, 990 days
2727.6
DO23511
83 years, female, NA, stage:3, dead, 180 days
2711.8
DO45253
50 years, male, NA, stage:2, alive, 870 days
2682.3
DO50793
76 years, male, NA, stage:4, alive, 540 days
2656.2
DO48701
78 years, male, NA, stage:2, alive, 780 days
2656.1
DO48672
81 years, male, NA, stage:2, alive, 450 days
2655.9
DO23550
69 years, male, NA, stage:1, alive, 990 days
2609.1
DO45241
49 years, male, NA, stage:1, alive, 1080 days
2605.5
DO50825
70 years, male, NA, stage:2, alive, 390 days
2564.9
DO227643
79 years, male, NA, stage:2, alive, 1260 days
2538.4
DO45149
70 years, female, NA, stage:2, alive, 1260 days
2533.5
DO23539
77 years, male, NA, stage:1, alive, 1110 days
2525.8
DO45281
83 years, male, NA, stage:4, alive, 750 days
2518.4
DO50816
63 years, male, NA, stage:2, alive, 390 days
2507.7
DO48674
80 years, male, NA, stage:2, alive, 1260 days
2486.8
DO50814
83 years, male, NA, stage:3, alive, 420 days
2485.7
DO48759
73 years, male, NA, stage:3, alive, 720 days
2476.8
DO50811
62 years, male, NA, stage:1, alive, 450 days
2463.6
DO45195
62 years, male, NA, stage:1, alive, 390 days
2419.9
DO48719
80 years, male, NA, stage:2, alive, 690 days
2344.3
DO45169
74 years, male, NA, stage:3, alive, 1350 days
2343.6
DO45261
74 years, male, NA, stage:3, alive, 990 days
2306.2
DO48741
64 years, male, NA, stage:3, alive, 240 days
2297.3
DO45107
63 years, female, NA, stage:2, alive, 1710 days
2286.4
DO48725
66 years, male, NA, stage:1, alive, 780 days
2266.8
DO50859
77 years, male, NA, stage:2, alive, 180 days
2263.8
DO45179
78 years, female, NA, stage:2, alive, 600 days
2241.3
DO45137
38 years, male, NA, stage:1, alive, 1320 days
2226.1
DO50850
74 years, male, NA, stage:3, alive, 720 days
2212.4
DO50819
72 years, female, NA, stage:2, alive, 510 days
2197.9
DO50809
56 years, male, NA, stage:3, dead, 720 days
2125.4
DO45197
51 years, male, NA, stage:2, alive, 1170 days
2119.7
DO45223
67 years, male, NA, stage:4, alive, 1020 days
2063.5
DO45099
46 years, male, NA, stage:3, alive, 1590 days
2052.5
DO23512
60 years, male, NA, stage:1, alive, 1260 days
2049.1
DO45181
84 years, female, NA, stage:2, alive, 1200 days
2026.9
DO50840
49 years, male, NA, stage:2, alive, 330 days
2026.7
DO50798
77 years, male, NA, stage:3, dead, 30 days
1989.1
DO48727
81 years, female, NA, stage:2, dead, 390 days
1987.9
DO48742
76 years, male, NA, stage:2, alive, 600 days
1984.1
DO50803
62 years, female, NA, stage:1, alive, 540 days
1982.3
DO50822
66 years, male, NA, stage:2, alive, 510 days
1974.3
DO45255
81 years, male, NA, stage:3, alive, 720 days
1923.0
DO48706
72 years, male, NA, stage:2, alive, 870 days
1922.7
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1875.6
DO23534
60 years, male, NA, stage:2, alive, 840 days
1870.6
DO23517
62 years, male, NA, stage:2, alive, 1200 days
1821.0
DO48700
78 years, female, NA, stage:2, alive, 810 days
1819.8
DO50844
75 years, male, NA, stage:4, alive, 300 days
1796.3
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1777.3
DO23510
80 years, female, NA, stage:2, alive, 870 days
1757.4
DO45203
71 years, female, NA, stage:2, alive, 1170 days
1748.4
DO45121
61 years, male, NA, stage:3, alive, 1530 days
1740.5
DO50817
75 years, male, NA, stage:2, alive, 390 days
1713.8
DO48751
68 years, male, NA, stage:2, dead, 480 days
1703.0
DO45235
68 years, female, NA, stage:1, alive, 900 days
1694.3
DO23541
65 years, male, NA, stage:2, alive, 930 days
1691.0
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1680.1
DO45113
58 years, male, NA, stage:3, alive, 1560 days
1665.6
DO48733
72 years, male, NA, stage:2, alive, 600 days
1664.0
DO50820
77 years, female, NA, stage:3, alive, 510 days
1649.1
DO45109
63 years, male, NA, stage:2, alive, 1590 days
1646.0
DO23540
73 years, male, NA, stage:1, alive, 750 days
1642.8
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1638.1
DO48743
69 years, female, NA, stage:2, alive, 570 days
1627.9
DO48757
68 years, female, NA, stage:3, alive, 480 days
1625.5
DO50774
68 years, female, NA, stage:2, alive, 720 days
1574.9
DO45193
68 years, female, NA, stage:4, dead, 120 days
1562.1
DO23551
73 years, male, NA, stage:3, dead, 150 days
1532.7
DO50791
79 years, female, NA, stage:1, dead, 480 days
1532.0
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1432.6
DO48761
55 years, male, NA, stage:2, alive, 870 days
1395.3
DO23548
78 years, female, NA, stage:1, alive, 840 days
1365.6
DO50813
56 years, male, NA, stage:2, alive, 420 days
1356.5
DO50787
63 years, male, NA, stage:3, alive, 480 days
1349.8
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1313.6
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1310.7
DO23544
67 years, male, NA, stage:2, alive, 960 days
1302.4
DO23542
66 years, male, NA, stage:3, alive, 960 days
1259.5
DO23537
79 years, male, NA, stage:2, dead, 900 days
1229.0
DO50805
72 years, male, NA, stage:2, alive, 690 days
1209.6
DO45187
32 years, female, NA, stage:1, alive, 1260 days
1185.9
DO45165
75 years, male, NA, stage:2, alive, 690 days
1177.2
DO45215
65 years, male, NA, stage:2, alive, 1170 days
1174.3
DO45221
75 years, female, NA, stage:4, dead, 390 days
1173.7
DO45233
83 years, male, NA, stage:3, alive, 900 days
1155.7
DO45103
47 years, male, NA, stage:3, alive, 450 days
1150.9
DO50845
72 years, male, NA, stage:3, alive, 210 days
1150.7
DO45091
56 years, male, NA, stage:2, dead, 1320 days
1148.1
DO48736
76 years, female, NA, stage:1, alive, 600 days
1131.0
DO45119
74 years, male, NA, stage:3, dead, 510 days
1128.2
DO48681
57 years, male, NA, stage:2, alive, 900 days
1126.6
DO45231
84 years, male, NA, stage:2, alive, 930 days
1106.6
DO45101
63 years, male, NA, stage:2, alive, 1680 days
1081.2
DO45115
81 years, male, NA, stage:2, alive, 840 days
1031.0
DO45173
63 years, male, NA, stage:3, alive, 1170 days
1008.9
DO48716
71 years, male, NA, stage:2, alive, 720 days
1008.3
DO23552
80 years, female, NA, stage:1, alive, 810 days
978.2
DO45239
42 years, male, NA, stage:2, alive, 870 days
977.1
DO23535
67 years, male, NA, stage:1, alive, 960 days
962.6
DO45213
58 years, male, NA, stage:1, alive, 1200 days
960.7
DO45243
74 years, female, NA, stage:3, alive, 930 days
921.2
DO50785
37 years, male, NA, stage:4, dead, 90 days
898.9
DO23513
76 years, male, NA, stage:3, alive, 1200 days
889.9
DO50800
74 years, male, NA, stage:2, alive, 510 days
886.1
DO45265
73 years, male, NA, stage:3, alive, 1020 days
872.3
DO45247
31 years, female, NA, stage:2, alive, 210 days
826.0
DO23508
79 years, female, NA, stage:2, alive, 390 days
808.3
DO48715
58 years, female, NA, stage:2, dead, 690 days
804.9
DO45131
53 years, male, NA, stage:4, dead, 360 days
800.3
DO23532
71 years, female, NA, stage:1, alive, 960 days
793.4
DO48697
64 years, female, NA, stage:2, dead, 810 days
788.7
DO45135
77 years, male, NA, stage:1, alive, 1410 days
777.9
DO48737
52 years, male, NA, stage:1, alive, 720 days
744.6
DO45219
78 years, male, NA, stage:2, alive, 1080 days
709.0
DO45191
61 years, female, NA, stage:2, alive, 1200 days
643.1
DO45183
72 years, female, NA, stage:2, dead, 570 days
641.8
DO45273
62 years, male, NA, stage:2, alive, 480 days
639.8
DO45093
71 years, male, NA, stage:2, dead, 720 days
604.5
DO23546
63 years, male, NA, stage:2, alive, 1050 days
584.5
DO23521
63 years, male, NA, stage:3, alive, 1110 days
583.3
DO48712
50 years, male, NA, stage:2, alive, 810 days
582.5
DO45105
61 years, male, NA, stage:1, alive, 1680 days
528.6
DO23545
67 years, male, NA, stage:2, dead, 570 days
484.5
DO45161
74 years, male, NA, stage:2, dead, 540 days
424.7
DO45155
69 years, male, NA, stage:2, alive, 2160 days
421.4
DO50806
70 years, male, NA, stage:4, alive, 540 days
408.4
DO50799
66 years, female, NA, stage:2, alive, 540 days
403.7
DO23549
74 years, male, NA, stage:3, alive, 990 days
385.9
DO23515
71 years, male, NA, stage:2, alive, 1230 days
367.0
DO48723
73 years, male, NA, stage:1, alive, 600 days
314.3
DO45127
73 years, male, NA, stage:3, dead, 420 days
313.7
DO23526
66 years, male, NA, stage:3, alive, 1050 days
280.8
DO48728
74 years, female, NA, stage:2, alive, 150 days
271.1
DO50855
47 years, male, NA, stage:2, alive, 570 days
254.1
DO23524
71 years, female, NA, stage:2, alive, 1050 days
249.1
DO23530
53 years, male, NA, stage:4, dead, 180 days
248.4
DO48730
73 years, female, NA, stage:2, alive, 630 days
224.1
DO45092
62 years, male, NA, stage:4, dead, 1200 days
216.1
DO48720
62 years, female, NA, stage:2, alive, 570 days
195.2
DO23547
74 years, male, NA, stage:1, alive, 1020 days
194.3
DO45145
78 years, male, NA, stage:3, dead, 60 days
188.0
DO48717
54 years, male, NA, stage:4, dead, 180 days
170.2
DO45139
63 years, male, NA, stage:3, alive, 1320 days
169.1
DO45269
59 years, male, NA, stage:3, alive, 750 days
152.1
DO45217
69 years, female, NA, stage:3, dead, 270 days
139.8
DO45251
57 years, female, NA, stage:2, alive, 900 days
125.3
DO45267
73 years, male, NA, stage:3, dead, 570 days
102.3
DO45263
67 years, male, NA, stage:3, dead, 270 days
94.0
DO45249
57 years, male, NA, stage:1, alive, 630 days
90.2
DO50829
78 years, male, NA, stage:3, alive, 570 days
81.5
DO45185
89 years, male, NA, stage:2, alive, 600 days
54.9
DO45205
67 years, female, NA, stage:2, dead, 90 days
36.2
DO23519
65 years, male, NA, stage:3, alive, 630 days
28.7
DO50778
60 years, male, NA, stage:4, alive, 630 days
26.0
DO45259
65 years, male, NA, stage:3, alive, 330 days
17.7
DO45287
74 years, male, NA, stage:1, alive, 390 days
15.9
DO45301
56 years, male, NA, stage:2, dead, 1440 days
13.6
DO50815
62 years, male, NA, stage:3, alive, 150 days
11.0
DO48732
73 years, male, NA, stage:3, alive, 630 days
9.6
DO45305
66 years, male, NA, stage:4, alive, 300 days
9.4
DO48682
72 years, female, NA, stage:3, dead, 120 days
8.5
DO45283
60 years, male, NA, stage:3, alive, 510 days
8.0
DO48747
62 years, male, NA, stage:3, alive, 540 days
5.6
DO45245
75 years, female, NA, stage:2, dead, 240 days
4.4
DO45189
85 years, female, NA, stage:2, alive, 1200 days
3.7
DO45279
67 years, male, NA, stage:3, alive, 1290 days
3.6
DO45209
70 years, male, NA, stage:4, alive, 1350 days
3.3
DO45277
64 years, male, NA, stage:3, alive, 600 days
3.2
DO23523
52 years, male, NA, stage:3, alive, 1080 days
3.1
DO45275
65 years, male, NA, stage:3, dead, 10 days
1.9
DO45303
62 years, female, NA, stage:3, alive, 990 days
1.2
DO45299
70 years, female, NA, stage:1, alive, 1440 days
0.9
DO45289
78 years, female, NA, stage:3, alive, 360 days
0.9
DO45285
59 years, male, NA, stage:3, alive, 480 days
0.9
DO45211
76 years, male, NA, stage:3, alive, 240 days
0.8
DO45297
61 years, female, NA, stage:4, dead, 1260 days
0.8
DO45307
54 years, female, NA, stage:4, dead, 240 days
0.6
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
877
Tumor
1.5
425
Tumor
1.4
863
Tumor
1.4
445
Tumor
1.3
227
Tumor
1.0
777
Tumor
1.0
635
Tumor
1.0
785
Tumor
0.9
192
Normal
0.8
977
Tumor
0.7
471
Tumor
0.7
515
Tumor
0.6
857
Tumor
0.6
741
Tumor
0.6
343
Tumor
0.6
713
Tumor
0.6
1041
Tumor
0.5
915
Tumor
0.5
363
Tumor
0.5
615
Tumor
0.5
636
Normal
0.5
1045
Tumor
0.5
224
Normal
0.4
963
Tumor
0.4
1022
Normal
0.4
384
Normal
0.4
715
Tumor
0.4
697
Tumor
0.3
878
Normal
0.3
444
Normal
0.3
778
Normal
0.3
546
Normal
0.3
342
Normal
0.3
137
Tumor
0.3
975
Tumor
0.3
884
Normal
0.3
665
Tumor
0.3
698
Normal
0.3
1027
Tumor
0.3
671
Tumor
0.3
112
Tumor
0.3
882
Normal
0.3
1025
Tumor
0.3
938
Normal
0.3
435
Tumor
0.3
958
Normal
0.3
982
Normal
0.3
616
Normal
0.3
924
Normal
0.3
742
Normal
0.3
481
Tumor
0.3
964
Normal
0.3
686
Normal
0.3
881
Tumor
0.3
484
Normal
0.3
568
Normal
0.3
534
Normal
0.3
1028
Normal
0.3
553
Tumor
0.3
448
Normal
0.3
365
Tumor
0.3
618
Normal
0.2
672
Normal
0.2
538
Normal
0.2
488
Normal
0.2
744
Normal
0.2
142
Normal
0.2
525
Tumor
0.2
354
Normal
0.2
1046
Normal
0.2
922
Normal
0.2
452
Normal
0.2
716
Normal
0.2
883
Tumor
0.2
862
Normal
0.2
572
Normal
0.2
423
Tumor
0.2
714
Normal
0.2
746
Normal
0.2
228
Normal
0.2
954
Normal
0.2
461
Tumor
0.2
124
Normal
0.2
462
Normal
0.2
666
Normal
0.2
786
Normal
0.2
221
Tumor
0.2
185
Tumor
0.2
647
Tumor
0.2
921
Tumor
0.2
472
Normal
0.2
261
Tumor
0.2
516
Normal
0.2
818
Normal
0.2
912
Normal
0.1
426
Normal
0.1
526
Normal
0.1
498
Normal
0.1
723
Tumor
0.1
196
Normal
0.1
383
Tumor
0.1
364
Normal
0.1
627
Tumor
0.1
813
Tumor
0.1
451
Tumor
0.1
648
Normal
0.1
482
Normal
0.1
913
Tumor
0.1
328
Normal
0.1
412
Normal
0.1
866
Normal
0.1
388
Normal
0.1
267
Tumor
0.1
524
Normal
0.1
284
Normal
0.1
391
Tumor
0.1
314
Normal
0.1
1032
Normal
0.1
222
Normal
0.1
356
Normal
0.1
953
Tumor
0.1
916
Normal
0.1
956
Normal
0.1
376
Normal
0.1
186
Normal
0.1
483
Tumor
0.1
914
Normal
0.1
628
Normal
0.1
917
Tumor
0.1
514
Normal
0.1
298
Normal
0.1
141
Tumor
0.1
494
Normal
0.1
536
Normal
0.1
1016
Normal
0.1
464
Normal
0.1
696
Normal
0.1
433
Tumor
0.1
146
Normal
0.1
474
Normal
0.0
554
Normal
0.0
411
Tumor
0.0
1026
Normal
0.0
527
Tumor
0.0
518
Normal
0.0
864
Normal
0.0
432
Normal
0.0
523
Tumor
0.0
478
Normal
0.0
327
Tumor
0.0
911
Tumor
0.0
823
Tumor
0.0
558
Normal
0.0
981
Tumor
0.0
128
Normal
0.0
171
Tumor
0.0
968
Normal
0.0
867
Tumor
0.0
965
Tumor
0.0
138
Normal
0.0
492
Normal
0.0
422
Normal
0.0
466
Normal
0.0
394
Normal
0.0
756
Normal
0.0
111
Normal
0.0
428
Normal
0.0
574
Normal
0.0
513
Tumor
0.0
1042
Normal
0.0
966
Normal
0.0
738
Normal
0.0
232
Normal
0.0
355
Tumor
0.0
271
Tumor
0.0
563
Tumor
0.0
926
Normal
0.0
1014
Normal
0.0
477
Tumor
0.0
976
Normal
0.0
415
Tumor
0.0
944
Normal
0.0
874
Normal
0.0
218
Normal
0.0
755
Tumor
0.0
1044
Normal
0.0
396
Normal
0.0
465
Tumor
0.0
191
Tumor
0.0
148
Normal
0.0
858
Normal
0.0
414
Normal
0.0
873
Tumor
0.0
722
Normal
0.0
297
Tumor
0.0
528
Normal
0.0
685
Tumor
0.0
424
Normal
0.0
332
Normal
0.0
214
Normal
0.0
358
Normal
0.0
664
Normal
0.0
368
Normal
0.0
918
Normal
0.0
815
Tumor
0.0
816
Normal
0.0
557
Tumor
0.0
517
Tumor
0.0
564
Normal
0.0
392
Normal
0.0
824
Normal
0.0
352
Normal
-0.1
147
Tumor
-0.1
286
Normal
-0.1
217
Tumor
-0.1
468
Normal
-0.1
162
Normal
-0.1
984
Normal
-0.1
125
Tumor
-0.1
393
Tumor
-0.1
212
Normal
-0.1
861
Tumor
-0.1
436
Normal
-0.1
386
Normal
-0.1
172
Normal
-0.1
344
Normal
-0.1
728
Normal
-0.1
455
Tumor
-0.1
223
Tumor
-0.1
533
Tumor
-0.1
642
Normal
-0.1
126
Normal
-0.1
431
Tumor
-0.1
955
Tumor
-0.1
132
Normal
-0.1
268
Normal
-0.1
456
Normal
-0.1
443
Tumor
-0.1
463
Tumor
-0.1
868
Normal
-0.1
1015
Tumor
-0.1
312
Normal
-0.1
662
Normal
-0.1
416
Normal
-0.1
272
Normal
-0.1
571
Tumor
-0.1
135
Tumor
-0.1
852
Normal
-0.1
487
Tumor
-0.1
817
Tumor
-0.1
375
Tumor
-0.1
114
Normal
-0.1
737
Tumor
-0.1
447
Tumor
-0.1
952
Normal
-0.1
127
Tumor
-0.1
978
Normal
-0.1
366
Normal
-0.2
258
Normal
-0.2
136
Normal
-0.2
262
Normal
-0.2
278
Normal
-0.2
362
Normal
-0.2
195
Tumor
-0.2
641
Tumor
-0.2
721
Tumor
-0.2
123
Tumor
-0.2
493
Tumor
-0.2
491
Tumor
-0.2
353
Tumor
-0.2
421
Tumor
-0.2
357
Tumor
-0.2
937
Tumor
-0.2
188
Normal
-0.2
865
Tumor
-0.2
545
Tumor
-0.2
745
Tumor
-0.2
434
Normal
-0.3
695
Tumor
-0.3
187
Tumor
-0.3
361
Tumor
-0.3
446
Normal
-0.3
113
Tumor
-0.3
145
Tumor
-0.3
213
Tumor
-0.3
617
Tumor
-0.3
1043
Tumor
-0.3
277
Tumor
-0.3
341
Tumor
-0.3
1031
Tumor
-0.3
967
Tumor
-0.3
283
Tumor
-0.4
313
Tumor
-0.4
663
Tumor
-0.4
1013
Tumor
-0.4
311
Tumor
-0.4
413
Tumor
-0.4
1021
Tumor
-0.4
957
Tumor
-0.4
814
Normal
-0.4
923
Tumor
-0.4
743
Tumor
-0.4
727
Tumor
-0.4
925
Tumor
-0.5
367
Tumor
-0.5
567
Tumor
-0.5
467
Tumor
-0.5
161
Tumor
-0.5
231
Tumor
-0.5
331
Tumor
-0.5
473
Tumor
-0.5
573
Tumor
-0.6
395
Tumor
-0.6
131
Tumor
-0.6
943
Tumor
-0.6
724
Normal
-0.6
497
Tumor
-0.7
535
Tumor
-0.7
983
Tumor
-0.7
387
Tumor
-0.7
851
Tumor
-0.8
351
Tumor
-0.8
257
Tumor
-0.8
211
Tumor
-0.8
537
Tumor
-0.8
385
Tumor
-0.9
285
Tumor
-0.9
951
Tumor
-1.0
427
Tumor
-1.1
661
Tumor
-1.1
Show allShow less
LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.