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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.
: 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
2227.0
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
10858.0
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
9286.3
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
8970.8
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
8748.0
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
8609.7
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
7471.2
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
6833.6
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
6724.0
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
6688.8
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
6580.5
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
6558.2
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
6479.9
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
6311.8
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
6192.3
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
6145.1
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
6084.5
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
6043.2
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
6017.9
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
5936.2
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
5904.6
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
5875.2
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
5831.4
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
5446.1
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
5399.4
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
5328.8
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
5277.5
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
5233.0
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
5170.3
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
5122.5
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
4906.8
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
4825.0
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
4761.2
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
4740.5
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
4712.9
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
4706.2
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
4608.7
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
4444.2
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
4379.0
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
4306.3
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
4298.1
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
4280.0
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
4274.5
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
4236.1
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
4235.2
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
4226.6
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
4219.6
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
4149.5
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
4136.5
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
4098.8
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
4079.8
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
4051.8
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
3996.4
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
3996.3
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
3916.8
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
3816.6
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
3808.5
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
3772.1
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
3770.0
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
3721.2
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
3698.8
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
3690.4
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
3678.7
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
3658.3
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
3652.3
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
3645.5
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
3639.1
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
3633.2
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
3578.7
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
3574.6
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
3551.2
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
3545.6
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
3501.6
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
3480.8
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
3461.8
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
3461.0
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
3432.0
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
3406.7
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
3371.5
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
3366.9
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
3319.4
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
3310.1
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
3308.4
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
3305.2
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
3300.2
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
3277.3
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
3241.8
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
3239.1
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
3227.6
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
3224.5
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
3193.9
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
3193.0
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
3190.8
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
3173.7
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
3162.8
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
3142.6
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
3107.5
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
3050.3
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
3047.2
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
3032.0
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
2990.3
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
2954.1
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
2951.1
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
2940.7
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
2931.7
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
2915.3
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
2891.3
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
2873.3
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
2868.2
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
2865.2
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
2808.8
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
2806.6
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
2800.3
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
2792.3
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
2759.5
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
2741.8
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
2720.5
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
2710.2
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
2683.1
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
2678.4
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
2676.8
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
2647.1
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
2640.9
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
2634.9
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
2634.3
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
2618.5
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
2608.0
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
2608.0
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
2585.9
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
2565.1
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
2538.1
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
2521.6
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
2518.7
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
2510.9
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
2501.1
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
2497.9
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
2489.0
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
2473.9
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
2451.7
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
2427.6
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
2413.1
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
2387.2
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
2383.8
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
2376.0
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
2373.1
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
2329.5
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
2318.7
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
2287.2
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
2284.4
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
2283.7
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
2268.4
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
2249.1
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
2247.7
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
2241.8
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
2237.0
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
2226.3
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
2224.8
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
2187.6
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
2178.8
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
2175.6
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
2173.4
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
2155.1
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
2134.6
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
2134.0
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
2130.9
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
2130.8
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
2106.6
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
2086.2
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
2085.7
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
2082.5
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
2041.8
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
2040.5
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
2033.7
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
2010.5
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1991.0
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1985.0
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1966.3
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
1916.3
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
1916.0
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
1899.8
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
1898.5
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1897.9
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
1891.1
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
1885.5
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
1874.6
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1861.9
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
1846.1
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1836.1
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1824.2
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
1820.6
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
1804.1
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
1782.4
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1776.1
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1773.5
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
1769.1
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
1734.0
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1702.1
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1691.1
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
1681.2
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
1678.8
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1676.9
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
1637.2
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
1637.0
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
1624.2
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
1614.3
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
1595.1
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
1594.8
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1581.1
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1559.6
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
1550.7
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1540.3
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1515.4
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1502.2
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1490.4
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1488.7
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1484.6
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
1470.3
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1455.2
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
1451.2
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1441.9
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1439.2
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
1434.2
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
1432.3
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1416.1
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
1358.4
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1342.5
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
1320.0
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
1308.6
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
1308.4
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
1298.5
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1285.2
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
1285.0
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1284.1
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
1245.0
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1243.3
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
1238.2
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
1221.8
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
1221.6
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
1204.5
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1197.8
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
1164.2
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
1158.6
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
1151.9
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1151.6
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
1144.2
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1139.7
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
1128.5
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
1115.8
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1114.2
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
1113.2
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1083.6
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1068.6
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
1065.5
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1063.6
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
1056.2
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
1051.6
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
1045.8
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1036.5
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
1032.7
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
1027.6
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
1024.7
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1017.0
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
981.8
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
977.7
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
959.7
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
950.0
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
930.8
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
927.4
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
927.3
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
924.4
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
906.4
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
903.3
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
880.4
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
876.0
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
871.6
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
844.0
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
829.7
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
814.0
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
810.2
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
805.2
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
788.9
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
787.7
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
782.2
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
731.3
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
719.1
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
716.7
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
711.1
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
704.1
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
701.6
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
689.6
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
631.0
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
595.2
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
576.9
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
563.6
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
556.4
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
549.4
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
548.0
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
547.9
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
523.9
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
520.0
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
517.4
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
495.5
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
480.1
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
478.2
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
467.4
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
462.8
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
457.5
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
453.7
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
453.6
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
451.8
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
412.7
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
407.7
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
369.3
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
366.8
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
362.9
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
348.2
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
347.0
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
328.6
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
314.2
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
290.0
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
260.1
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
250.9
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
241.0
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
234.0
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
222.8
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
196.7
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
158.4
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
154.8
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
151.4
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
148.1
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
143.6
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
140.2
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
133.4
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
124.7
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
119.5
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
116.8
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
115.5
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
99.0
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
84.3
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
81.5
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
59.7
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
58.8
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
57.7
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
56.3
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
52.2
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
48.7
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
42.0
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
38.4
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
31.0
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
21.1
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
4.4
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
3.9
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
3.1
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
2.9
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
2.8
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
2.4
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
2.2
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
1.7
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1.6
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
0.8
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
0.6
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.
: 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
3020.8
Number of samples
231
Samples
Sample
Description
pTPM
DO48746
76 years, male, NA, stage:3, alive, 570 days
12598.4
DO45237
58 years, male, NA, stage:2, alive, 900 days
10750.3
DO48721
58 years, female, NA, stage:1, alive, 900 days
10598.9
DO50783
62 years, male, NA, stage:3, alive, 480 days
9712.3
DO45129
61 years, male, NA, stage:3, alive, 1470 days
9687.2
DO23538
67 years, male, NA, stage:2, alive, 450 days
9568.2
DO48677
58 years, male, NA, stage:3, alive, 1140 days
9420.0
DO50804
81 years, male, NA, stage:2, alive, 720 days
8982.2
DO45096
69 years, male, NA, stage:2, dead, 1290 days
8877.6
DO45133
64 years, male, NA, stage:3, dead, 660 days
8799.0
DO23509
60 years, male, NA, stage:3, dead, 780 days
8776.8
DO45159
65 years, male, NA, stage:3, alive, 1470 days
8479.1
DO45207
68 years, male, NA, stage:1, alive, 1050 days
8387.8
DO48760
70 years, female, NA, stage:2, alive, 690 days
8210.6
DO50857
72 years, male, NA, stage:2, alive, 210 days
8051.4
DO45123
78 years, female, NA, stage:2, dead, 570 days
7889.3
DO45199
86 years, female, NA, stage:2, alive, 1350 days
7636.3
DO50807
67 years, male, NA, stage:1, alive, 540 days
7535.9
DO45257
46 years, male, NA, stage:3, alive, 810 days
7435.3
DO45225
69 years, male, NA, stage:1, alive, 1050 days
7435.2
DO45094
76 years, male, NA, stage:3, alive, 1650 days
6877.7
DO23527
72 years, male, NA, stage:1, alive, 1050 days
6834.5
DO45111
74 years, male, NA, stage:2, alive, 1590 days
6829.5
DO23529
72 years, male, NA, stage:4, alive, 930 days
6571.3
DO45163
76 years, male, NA, stage:2, alive, 960 days
6432.6
DO45171
56 years, male, NA, stage:3, alive, 600 days
6352.4
DO45227
57 years, female, NA, stage:2, alive, 1020 days
6318.1
DO45177
81 years, female, NA, stage:3, alive, 1260 days
6188.5
DO48695
77 years, male, NA, stage:2, alive, 720 days
5789.4
DO23518
67 years, male, NA, stage:2, alive, 1320 days
5781.9
DO50839
47 years, female, NA, stage:3, alive, 330 days
5525.9
DO23533
61 years, male, NA, stage:2, alive, 900 days
5481.4
DO45167
67 years, male, NA, stage:2, dead, 1440 days
5456.9
DO50808
68 years, male, NA, stage:2, alive, 570 days
5412.4
DO23536
56 years, male, NA, stage:2, alive, 930 days
5403.1
DO45117
73 years, female, NA, stage:2, dead, 1110 days
5363.7
DO50802
49 years, male, NA, stage:2, alive, 930 days
5263.4
DO45125
58 years, male, NA, stage:3, alive, 1680 days
5246.5
DO45201
49 years, male, NA, stage:1, alive, 900 days
5122.3
DO23528
45 years, female, NA, stage:2, alive, 1020 days
5089.1
DO23543
63 years, male, NA, stage:2, alive, 1020 days
5076.1
DO48704
68 years, female, NA, stage:3, alive, 750 days
5038.9
DO45097
69 years, male, NA, stage:3, alive, 1620 days
4996.3
DO45253
50 years, male, NA, stage:2, alive, 870 days
4982.6
DO45095
66 years, male, NA, stage:2, alive, 1620 days
4941.2
DO23516
69 years, male, NA, stage:3, dead, 20 days
4906.8
DO50832
73 years, male, NA, stage:3, alive, 90 days
4875.2
DO45175
74 years, male, NA, stage:2, alive, 1140 days
4805.3
DO50818
65 years, male, NA, stage:2, alive, 510 days
4735.7
DO50789
73 years, female, NA, stage:2, alive, 570 days
4709.9
DO45281
83 years, male, NA, stage:4, alive, 750 days
4616.6
DO50793
76 years, male, NA, stage:4, alive, 540 days
4529.0
DO50776
75 years, male, NA, stage:1, alive, 690 days
4446.1
DO23531
78 years, female, NA, stage:3, alive, 900 days
4423.8
DO48672
81 years, male, NA, stage:2, alive, 450 days
4343.6
DO227801
77 years, female, NA, stage:1, alive, 660 days
4334.6
DO48693
71 years, male, NA, stage:2, alive, 900 days
4321.5
DO48701
78 years, male, NA, stage:2, alive, 780 days
4271.9
DO45229
74 years, male, NA, stage:1, alive, 990 days
4156.5
DO45197
51 years, male, NA, stage:2, alive, 1170 days
4099.6
DO23550
69 years, male, NA, stage:1, alive, 990 days
4068.5
DO45137
38 years, male, NA, stage:1, alive, 1320 days
4061.5
DO48719
80 years, male, NA, stage:2, alive, 690 days
4030.0
DO50816
63 years, male, NA, stage:2, alive, 390 days
4026.9
DO227643
79 years, male, NA, stage:2, alive, 1260 days
3971.3
DO23511
83 years, female, NA, stage:3, dead, 180 days
3965.3
DO50811
62 years, male, NA, stage:1, alive, 450 days
3919.2
DO23539
77 years, male, NA, stage:1, alive, 1110 days
3895.1
DO50825
70 years, male, NA, stage:2, alive, 390 days
3859.2
DO45241
49 years, male, NA, stage:1, alive, 1080 days
3818.8
DO45149
70 years, female, NA, stage:2, alive, 1260 days
3817.4
DO50859
77 years, male, NA, stage:2, alive, 180 days
3795.8
DO50819
72 years, female, NA, stage:2, alive, 510 days
3768.9
DO45195
62 years, male, NA, stage:1, alive, 390 days
3762.1
DO45179
78 years, female, NA, stage:2, alive, 600 days
3721.3
DO45261
74 years, male, NA, stage:3, alive, 990 days
3700.7
DO50809
56 years, male, NA, stage:3, dead, 720 days
3642.7
DO45169
74 years, male, NA, stage:3, alive, 1350 days
3627.8
DO45107
63 years, female, NA, stage:2, alive, 1710 days
3600.1
DO48759
73 years, male, NA, stage:3, alive, 720 days
3561.2
DO45223
67 years, male, NA, stage:4, alive, 1020 days
3528.9
DO48725
66 years, male, NA, stage:1, alive, 780 days
3515.0
DO50850
74 years, male, NA, stage:3, alive, 720 days
3501.7
DO23512
60 years, male, NA, stage:1, alive, 1260 days
3471.3
DO23534
60 years, male, NA, stage:2, alive, 840 days
3445.4
DO50798
77 years, male, NA, stage:3, dead, 30 days
3427.3
DO50840
49 years, male, NA, stage:2, alive, 330 days
3407.7
DO45099
46 years, male, NA, stage:3, alive, 1590 days
3405.1
DO48674
80 years, male, NA, stage:2, alive, 1260 days
3336.3
DO45181
84 years, female, NA, stage:2, alive, 1200 days
3278.5
DO50844
75 years, male, NA, stage:4, alive, 300 days
3232.0
DO48727
81 years, female, NA, stage:2, dead, 390 days
3212.0
DO48742
76 years, male, NA, stage:2, alive, 600 days
3200.6
DO50803
62 years, female, NA, stage:1, alive, 540 days
3153.8
DO50814
83 years, male, NA, stage:3, alive, 420 days
3148.5
DO45121
61 years, male, NA, stage:3, alive, 1530 days
3134.9
DO45203
71 years, female, NA, stage:2, alive, 1170 days
3120.9
DO50822
66 years, male, NA, stage:2, alive, 510 days
3113.5
DO45255
81 years, male, NA, stage:3, alive, 720 days
3110.3
DO48741
64 years, male, NA, stage:3, alive, 240 days
3109.7
DO45141
73 years, male, NA, stage:2, alive, 1320 days
3100.1
DO50820
77 years, female, NA, stage:3, alive, 510 days
3071.8
DO45153
77 years, female, NA, stage:2, alive, 1380 days
3032.7
DO23514
64 years, male, NA, stage:2, alive, 1290 days
3029.2
DO45235
68 years, female, NA, stage:1, alive, 900 days
2993.9
DO48700
78 years, female, NA, stage:2, alive, 810 days
2988.0
DO23510
80 years, female, NA, stage:2, alive, 870 days
2981.9
DO50817
75 years, male, NA, stage:2, alive, 390 days
2938.9
DO48757
68 years, female, NA, stage:3, alive, 480 days
2928.8
DO45113
58 years, male, NA, stage:3, alive, 1560 days
2918.7
DO48733
72 years, male, NA, stage:2, alive, 600 days
2899.8
DO48706
72 years, male, NA, stage:2, alive, 870 days
2896.6
DO23517
62 years, male, NA, stage:2, alive, 1200 days
2815.3
DO23541
65 years, male, NA, stage:2, alive, 930 days
2806.3
DO50774
68 years, female, NA, stage:2, alive, 720 days
2719.1
DO48743
69 years, female, NA, stage:2, alive, 570 days
2718.9
DO50791
79 years, female, NA, stage:1, dead, 480 days
2701.2
DO23540
73 years, male, NA, stage:1, alive, 750 days
2670.0
DO45193
68 years, female, NA, stage:4, dead, 120 days
2607.8
DO48751
68 years, male, NA, stage:2, dead, 480 days
2574.1
DO45143
69 years, male, NA, stage:3, alive, 1290 days
2529.0
DO23548
78 years, female, NA, stage:1, alive, 840 days
2518.6
DO45157
62 years, male, NA, stage:2, alive, 1980 days
2447.5
DO50787
63 years, male, NA, stage:3, alive, 480 days
2390.9
DO23551
73 years, male, NA, stage:3, dead, 150 days
2372.8
DO48761
55 years, male, NA, stage:2, alive, 870 days
2338.8
DO23542
66 years, male, NA, stage:3, alive, 960 days
2334.6
DO23537
79 years, male, NA, stage:2, dead, 900 days
2238.7
DO45109
63 years, male, NA, stage:2, alive, 1590 days
2228.4
DO23544
67 years, male, NA, stage:2, alive, 960 days
2187.9
DO45231
84 years, male, NA, stage:2, alive, 930 days
2133.4
DO50813
56 years, male, NA, stage:2, alive, 420 days
2131.9
DO45215
65 years, male, NA, stage:2, alive, 1170 days
2112.1
DO45187
32 years, female, NA, stage:1, alive, 1260 days
2042.0
DO45233
83 years, male, NA, stage:3, alive, 900 days
2032.9
DO23525
71 years, male, NA, stage:4, alive, 1050 days
2017.4
DO48681
57 years, male, NA, stage:2, alive, 900 days
1994.3
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1985.2
DO45091
56 years, male, NA, stage:2, dead, 1320 days
1962.1
DO45165
75 years, male, NA, stage:2, alive, 690 days
1945.9
DO50845
72 years, male, NA, stage:3, alive, 210 days
1890.2
DO48736
76 years, female, NA, stage:1, alive, 600 days
1873.1
DO45103
47 years, male, NA, stage:3, alive, 450 days
1872.5
DO45119
74 years, male, NA, stage:3, dead, 510 days
1851.0
DO45221
75 years, female, NA, stage:4, dead, 390 days
1836.7
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1799.4
DO45239
42 years, male, NA, stage:2, alive, 870 days
1770.1
DO23513
76 years, male, NA, stage:3, alive, 1200 days
1766.2
DO50805
72 years, male, NA, stage:2, alive, 690 days
1748.7
DO23535
67 years, male, NA, stage:1, alive, 960 days
1713.7
DO45101
63 years, male, NA, stage:2, alive, 1680 days
1694.4
DO45243
74 years, female, NA, stage:3, alive, 930 days
1689.0
DO23552
80 years, female, NA, stage:1, alive, 810 days
1682.0
DO45115
81 years, male, NA, stage:2, alive, 840 days
1632.6
DO48716
71 years, male, NA, stage:2, alive, 720 days
1616.0
DO50800
74 years, male, NA, stage:2, alive, 510 days
1613.5
DO45173
63 years, male, NA, stage:3, alive, 1170 days
1610.5
DO45247
31 years, female, NA, stage:2, alive, 210 days
1428.6
DO45265
73 years, male, NA, stage:3, alive, 1020 days
1418.2
DO45131
53 years, male, NA, stage:4, dead, 360 days
1373.5
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1342.6
DO23532
71 years, female, NA, stage:1, alive, 960 days
1334.8
DO48715
58 years, female, NA, stage:2, dead, 690 days
1256.3
DO48697
64 years, female, NA, stage:2, dead, 810 days
1253.5
DO45135
77 years, male, NA, stage:1, alive, 1410 days
1252.4
DO50785
37 years, male, NA, stage:4, dead, 90 days
1210.3
DO45273
62 years, male, NA, stage:2, alive, 480 days
1206.8
DO48737
52 years, male, NA, stage:1, alive, 720 days
1196.9
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1171.1
DO45191
61 years, female, NA, stage:2, alive, 1200 days
1139.9
DO23508
79 years, female, NA, stage:2, alive, 390 days
1117.7
DO23546
63 years, male, NA, stage:2, alive, 1050 days
1111.4
DO48712
50 years, male, NA, stage:2, alive, 810 days
1021.0
DO45183
72 years, female, NA, stage:2, dead, 570 days
1018.2
DO45093
71 years, male, NA, stage:2, dead, 720 days
896.2
DO45155
69 years, male, NA, stage:2, alive, 2160 days
873.8
DO45105
61 years, male, NA, stage:1, alive, 1680 days
857.0
DO23549
74 years, male, NA, stage:3, alive, 990 days
760.4
DO23545
67 years, male, NA, stage:2, dead, 570 days
734.2
DO50799
66 years, female, NA, stage:2, alive, 540 days
703.2
DO45161
74 years, male, NA, stage:2, dead, 540 days
692.1
DO45127
73 years, male, NA, stage:3, dead, 420 days
613.9
DO23515
71 years, male, NA, stage:2, alive, 1230 days
599.5
DO50806
70 years, male, NA, stage:4, alive, 540 days
587.6
DO48728
74 years, female, NA, stage:2, alive, 150 days
544.9
DO23526
66 years, male, NA, stage:3, alive, 1050 days
534.4
DO23530
53 years, male, NA, stage:4, dead, 180 days
476.8
DO48723
73 years, male, NA, stage:1, alive, 600 days
471.8
DO23524
71 years, female, NA, stage:2, alive, 1050 days
455.8
DO50855
47 years, male, NA, stage:2, alive, 570 days
453.1
DO48730
73 years, female, NA, stage:2, alive, 630 days
409.9
DO48720
62 years, female, NA, stage:2, alive, 570 days
394.4
DO23547
74 years, male, NA, stage:1, alive, 1020 days
378.9
DO45092
62 years, male, NA, stage:4, dead, 1200 days
355.3
DO45139
63 years, male, NA, stage:3, alive, 1320 days
335.1
DO48717
54 years, male, NA, stage:4, dead, 180 days
297.4
DO45145
78 years, male, NA, stage:3, dead, 60 days
293.6
DO45217
69 years, female, NA, stage:3, dead, 270 days
254.7
DO45251
57 years, female, NA, stage:2, alive, 900 days
254.1
DO45269
59 years, male, NA, stage:3, alive, 750 days
241.3
DO45263
67 years, male, NA, stage:3, dead, 270 days
197.5
DO45267
73 years, male, NA, stage:3, dead, 570 days
190.6
DO45249
57 years, male, NA, stage:1, alive, 630 days
184.3
DO50829
78 years, male, NA, stage:3, alive, 570 days
147.6
DO45185
89 years, male, NA, stage:2, alive, 600 days
115.1
DO45205
67 years, female, NA, stage:2, dead, 90 days
75.6
DO50778
60 years, male, NA, stage:4, alive, 630 days
44.7
DO23519
65 years, male, NA, stage:3, alive, 630 days
42.6
DO45259
65 years, male, NA, stage:3, alive, 330 days
34.6
DO45287
74 years, male, NA, stage:1, alive, 390 days
32.8
DO45301
56 years, male, NA, stage:2, dead, 1440 days
27.4
DO50815
62 years, male, NA, stage:3, alive, 150 days
21.7
DO48732
73 years, male, NA, stage:3, alive, 630 days
21.3
DO45305
66 years, male, NA, stage:4, alive, 300 days
17.8
DO45283
60 years, male, NA, stage:3, alive, 510 days
16.5
DO48682
72 years, female, NA, stage:3, dead, 120 days
14.2
DO45245
75 years, female, NA, stage:2, dead, 240 days
9.2
DO48747
62 years, male, NA, stage:3, alive, 540 days
8.9
DO45279
67 years, male, NA, stage:3, alive, 1290 days
8.4
DO45189
85 years, female, NA, stage:2, alive, 1200 days
7.9
DO45277
64 years, male, NA, stage:3, alive, 600 days
6.5
DO45209
70 years, male, NA, stage:4, alive, 1350 days
5.7
DO23523
52 years, male, NA, stage:3, alive, 1080 days
5.5
DO45275
65 years, male, NA, stage:3, dead, 10 days
3.5
DO45303
62 years, female, NA, stage:3, alive, 990 days
2.2
DO45299
70 years, female, NA, stage:1, alive, 1440 days
1.6
DO45297
61 years, female, NA, stage:4, dead, 1260 days
1.5
DO45289
78 years, female, NA, stage:3, alive, 360 days
1.4
DO45211
76 years, male, NA, stage:3, alive, 240 days
1.2
DO45285
59 years, male, NA, stage:3, alive, 480 days
1.2
DO45307
54 years, female, NA, stage:4, dead, 240 days
1.1
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.