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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.
SERPINA3 is not prognostic in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
2219.0
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
14513.4
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
10751.9
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
10689.5
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
9536.5
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
8952.9
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
8083.5
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
7946.9
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
7861.0
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
7851.9
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
7805.9
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
7730.2
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
7653.4
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
7481.9
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
7276.4
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
7098.6
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
6829.7
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
6795.9
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
6612.8
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
6609.9
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
6603.1
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
6544.2
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
6518.8
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
6507.4
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
6063.1
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
6021.4
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
6000.4
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
5953.1
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
5895.4
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
5673.5
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
5652.7
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
5572.3
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
5488.5
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
5423.4
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
5416.4
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
5366.8
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
5289.5
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
5256.2
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
5195.6
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
5136.8
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
5038.3
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
4944.6
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
4849.9
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
4839.2
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
4806.1
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
4797.3
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
4698.0
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
4681.1
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
4659.9
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
4612.7
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
4523.8
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
4496.2
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
4481.7
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
4428.3
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
4419.0
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
4392.5
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
4335.7
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
4286.1
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
4230.9
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
4227.9
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
4217.4
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
4191.0
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
4113.8
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
3865.3
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
3832.2
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
3792.3
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
3776.9
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
3711.6
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
3666.5
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
3660.6
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
3649.9
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
3642.7
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
3635.0
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
3598.4
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
3583.7
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
3515.1
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
3482.0
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
3416.4
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
3399.5
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
3399.5
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
3375.0
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
3242.1
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
3227.9
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
3188.3
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
3168.8
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
3150.6
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
3118.0
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
3115.5
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
3101.5
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
3072.4
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
3054.8
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
2991.2
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
2982.0
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
2979.4
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
2967.6
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
2938.2
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
2928.4
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
2904.2
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
2894.0
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
2844.2
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
2806.8
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
2798.9
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
2794.8
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
2747.3
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
2739.2
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
2734.8
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
2712.8
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
2693.2
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
2679.2
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
2630.8
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
2598.4
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
2541.3
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
2531.3
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
2526.7
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
2456.4
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
2456.0
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
2444.9
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
2425.0
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
2387.1
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
2383.6
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
2361.7
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
2360.0
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
2358.5
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
2357.6
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
2340.6
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
2337.3
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
2331.4
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
2324.4
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
2288.5
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
2283.2
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
2212.1
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
2190.7
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
2162.4
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
2126.3
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
2112.2
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
2108.6
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
2090.0
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
2073.1
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
2070.4
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
2068.2
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
2064.8
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
2058.8
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
2044.3
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
2014.8
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
2012.5
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
2006.7
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
2003.1
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
1994.9
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1983.7
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
1976.9
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1971.2
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
1934.7
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
1929.3
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
1914.4
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
1909.0
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1897.6
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1884.0
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1868.8
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
1846.7
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
1827.6
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1760.1
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
1734.3
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
1728.3
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1681.1
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1672.5
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
1669.6
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1666.8
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
1658.7
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
1655.4
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1649.1
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1643.9
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1635.5
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
1633.8
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
1611.6
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
1611.4
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1596.9
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
1582.4
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
1577.5
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
1570.1
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1534.9
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1534.7
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1534.3
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1532.2
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
1524.7
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
1516.3
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
1516.3
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
1508.8
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
1497.4
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
1436.2
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
1428.6
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
1411.0
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1400.9
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1399.5
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
1386.2
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
1358.7
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
1358.5
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1352.5
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
1351.1
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
1348.4
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
1340.9
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1331.1
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1329.0
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1328.1
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
1321.9
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
1315.2
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1305.2
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
1246.2
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1238.8
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1227.5
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1219.9
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
1217.0
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1215.6
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
1212.8
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1212.4
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1183.1
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
1174.2
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1157.6
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
1139.7
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
1128.2
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1113.1
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
1109.3
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
1107.4
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1102.9
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
1095.9
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
1095.1
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
1093.0
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
1091.7
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1091.2
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
1082.3
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
1080.0
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
1078.3
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
1077.0
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1072.8
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1063.5
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1056.5
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
1041.4
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1026.8
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
1024.0
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1022.8
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1012.3
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1005.3
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
999.1
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
998.7
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
993.6
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
985.4
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
978.2
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
969.8
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
961.6
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
957.9
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
956.0
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
932.4
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
920.9
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
917.0
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
916.4
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
907.8
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
881.2
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
867.9
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
866.9
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
863.4
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
842.2
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
807.8
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
807.2
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
805.1
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
798.9
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
796.2
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
790.0
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
786.1
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
758.5
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
745.7
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
745.1
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
742.6
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
734.6
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
707.4
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
700.9
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
697.1
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
682.7
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
655.5
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
652.7
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
647.1
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
645.8
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
626.4
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
616.9
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
613.2
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
588.1
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
580.0
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
575.7
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
569.2
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
568.6
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
561.6
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
533.8
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
530.6
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
529.8
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
526.9
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
506.9
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
503.2
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
497.5
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
493.6
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
493.3
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
481.3
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
455.7
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
447.5
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
445.5
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
437.6
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
428.8
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
426.1
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
419.8
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
417.6
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
406.9
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
404.0
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
392.5
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
392.1
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
380.6
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
379.9
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
379.6
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
356.1
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
343.3
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
335.9
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
329.9
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
326.7
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
325.3
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
324.2
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
315.7
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
315.0
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
307.4
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
302.4
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
294.4
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
289.5
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
289.0
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
271.7
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
265.4
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
263.5
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
261.3
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
253.2
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
250.5
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
236.6
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
226.7
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
191.5
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
189.2
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
178.7
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
173.5
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
171.4
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
171.3
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
163.4
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
145.0
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
141.1
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
140.9
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
138.2
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
117.1
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
93.9
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
72.3
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
67.1
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
58.2
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
55.0
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
52.7
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
44.1
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
36.7
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
33.4
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
25.5
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
19.2
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
12.8
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
10.9
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
5.9
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 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.
SERPINA3 is not prognostic in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
3003.6
Number of samples
231
Samples
Sample
Description
pTPM
DO50819
72 years, female, NA, stage:2, alive, 510 days
13489.9
DO45257
46 years, male, NA, stage:3, alive, 810 days
12025.4
DO45199
86 years, female, NA, stage:2, alive, 1350 days
11943.4
DO45195
62 years, male, NA, stage:1, alive, 390 days
11858.2
DO50855
47 years, male, NA, stage:2, alive, 570 days
11091.2
DO45245
75 years, female, NA, stage:2, dead, 240 days
10547.9
DO227801
77 years, female, NA, stage:1, alive, 660 days
9882.6
DO50776
75 years, male, NA, stage:1, alive, 690 days
9881.3
DO45231
84 years, male, NA, stage:2, alive, 930 days
9579.3
DO23518
67 years, male, NA, stage:2, alive, 1320 days
9554.1
DO45121
61 years, male, NA, stage:3, alive, 1530 days
9377.8
DO45159
65 years, male, NA, stage:3, alive, 1470 days
9034.5
DO45229
74 years, male, NA, stage:1, alive, 990 days
8838.2
DO45113
58 years, male, NA, stage:3, alive, 1560 days
8755.1
DO48717
54 years, male, NA, stage:4, dead, 180 days
8292.1
DO23551
73 years, male, NA, stage:3, dead, 150 days
8088.5
DO50805
72 years, male, NA, stage:2, alive, 690 days
8032.6
DO45141
73 years, male, NA, stage:2, alive, 1320 days
8020.7
DO45094
76 years, male, NA, stage:3, alive, 1650 days
7936.2
DO23544
67 years, male, NA, stage:2, alive, 960 days
7507.4
DO45239
42 years, male, NA, stage:2, alive, 870 days
7150.3
DO45109
63 years, male, NA, stage:2, alive, 1590 days
7123.3
DO48761
55 years, male, NA, stage:2, alive, 870 days
7013.1
DO23524
71 years, female, NA, stage:2, alive, 1050 days
6966.1
DO50774
68 years, female, NA, stage:2, alive, 720 days
6949.1
DO45263
67 years, male, NA, stage:3, dead, 270 days
6633.0
DO45167
67 years, male, NA, stage:2, dead, 1440 days
6562.8
DO48737
52 years, male, NA, stage:1, alive, 720 days
6470.3
DO45169
74 years, male, NA, stage:3, alive, 1350 days
6455.9
DO48704
68 years, female, NA, stage:3, alive, 750 days
6434.6
DO48682
72 years, female, NA, stage:3, dead, 120 days
6419.9
DO48700
78 years, female, NA, stage:2, alive, 810 days
6328.3
DO48736
76 years, female, NA, stage:1, alive, 600 days
6119.0
DO45157
62 years, male, NA, stage:2, alive, 1980 days
5785.3
DO48733
72 years, male, NA, stage:2, alive, 600 days
5771.3
DO23510
80 years, female, NA, stage:2, alive, 870 days
5733.9
DO45092
62 years, male, NA, stage:4, dead, 1200 days
5665.5
DO45233
83 years, male, NA, stage:3, alive, 900 days
5624.8
DO45191
61 years, female, NA, stage:2, alive, 1200 days
5519.6
DO45095
66 years, male, NA, stage:2, alive, 1620 days
5517.3
DO48697
64 years, female, NA, stage:2, dead, 810 days
5350.7
DO23541
65 years, male, NA, stage:2, alive, 930 days
5268.0
DO23550
69 years, male, NA, stage:1, alive, 990 days
5201.3
DO45251
57 years, female, NA, stage:2, alive, 900 days
5141.0
DO45143
69 years, male, NA, stage:3, alive, 1290 days
5027.3
DO48728
74 years, female, NA, stage:2, alive, 150 days
4985.0
DO48693
71 years, male, NA, stage:2, alive, 900 days
4954.8
DO45289
78 years, female, NA, stage:3, alive, 360 days
4895.1
DO50789
73 years, female, NA, stage:2, alive, 570 days
4876.3
DO45155
69 years, male, NA, stage:2, alive, 2160 days
4727.6
DO45135
77 years, male, NA, stage:1, alive, 1410 days
4611.0
DO50832
73 years, male, NA, stage:3, alive, 90 days
4608.5
DO45103
47 years, male, NA, stage:3, alive, 450 days
4540.4
DO45153
77 years, female, NA, stage:2, alive, 1380 days
4534.3
DO45207
68 years, male, NA, stage:1, alive, 1050 days
4533.6
DO45273
62 years, male, NA, stage:2, alive, 480 days
4529.9
DO48727
81 years, female, NA, stage:2, dead, 390 days
4453.7
DO50850
74 years, male, NA, stage:3, alive, 720 days
4393.6
DO48725
66 years, male, NA, stage:1, alive, 780 days
4145.9
DO45137
38 years, male, NA, stage:1, alive, 1320 days
4107.5
DO45091
56 years, male, NA, stage:2, dead, 1320 days
4095.7
DO45241
49 years, male, NA, stage:1, alive, 1080 days
4058.2
DO45249
57 years, male, NA, stage:1, alive, 630 days
3878.2
DO45243
74 years, female, NA, stage:3, alive, 930 days
3838.3
DO48743
69 years, female, NA, stage:2, alive, 570 days
3833.5
DO45139
63 years, male, NA, stage:3, alive, 1320 days
3831.8
DO50813
56 years, male, NA, stage:2, alive, 420 days
3763.6
DO23552
80 years, female, NA, stage:1, alive, 810 days
3730.3
DO45279
67 years, male, NA, stage:3, alive, 1290 days
3674.9
DO45175
74 years, male, NA, stage:2, alive, 1140 days
3643.3
DO50798
77 years, male, NA, stage:3, dead, 30 days
3601.1
DO48732
73 years, male, NA, stage:3, alive, 630 days
3597.7
DO48712
50 years, male, NA, stage:2, alive, 810 days
3561.1
DO45099
46 years, male, NA, stage:3, alive, 1590 days
3546.4
DO50807
67 years, male, NA, stage:1, alive, 540 days
3530.0
DO50822
66 years, male, NA, stage:2, alive, 510 days
3480.1
DO48742
76 years, male, NA, stage:2, alive, 600 days
3470.3
DO45117
73 years, female, NA, stage:2, dead, 1110 days
3453.9
DO45223
67 years, male, NA, stage:4, alive, 1020 days
3444.7
DO45253
50 years, male, NA, stage:2, alive, 870 days
3415.0
DO23531
78 years, female, NA, stage:3, alive, 900 days
3378.6
DO50825
70 years, male, NA, stage:2, alive, 390 days
3291.6
DO50845
72 years, male, NA, stage:3, alive, 210 days
3254.1
DO50778
60 years, male, NA, stage:4, alive, 630 days
3167.1
DO50800
74 years, male, NA, stage:2, alive, 510 days
3136.8
DO48674
80 years, male, NA, stage:2, alive, 1260 days
3116.0
DO45187
32 years, female, NA, stage:1, alive, 1260 days
3101.7
DO45247
31 years, female, NA, stage:2, alive, 210 days
3093.7
DO48760
70 years, female, NA, stage:2, alive, 690 days
3081.3
DO50818
65 years, male, NA, stage:2, alive, 510 days
3046.5
DO50806
70 years, male, NA, stage:4, alive, 540 days
3011.7
DO45123
78 years, female, NA, stage:2, dead, 570 days
3006.4
DO45219
78 years, male, NA, stage:2, alive, 1080 days
3000.2
DO45119
74 years, male, NA, stage:3, dead, 510 days
2976.3
DO45213
58 years, male, NA, stage:1, alive, 1200 days
2910.6
DO45225
69 years, male, NA, stage:1, alive, 1050 days
2808.8
DO45261
74 years, male, NA, stage:3, alive, 990 days
2754.4
DO45235
68 years, female, NA, stage:1, alive, 900 days
2727.7
DO50787
63 years, male, NA, stage:3, alive, 480 days
2672.6
DO45215
65 years, male, NA, stage:2, alive, 1170 days
2659.4
DO48721
58 years, female, NA, stage:1, alive, 900 days
2562.0
DO23527
72 years, male, NA, stage:1, alive, 1050 days
2533.9
DO23517
62 years, male, NA, stage:2, alive, 1200 days
2523.6
DO45197
51 years, male, NA, stage:2, alive, 1170 days
2457.5
DO45227
57 years, female, NA, stage:2, alive, 1020 days
2448.6
DO23509
60 years, male, NA, stage:3, dead, 780 days
2434.5
DO23547
74 years, male, NA, stage:1, alive, 1020 days
2424.9
DO45201
49 years, male, NA, stage:1, alive, 900 days
2424.0
DO45179
78 years, female, NA, stage:2, alive, 600 days
2361.2
DO23508
79 years, female, NA, stage:2, alive, 390 days
2322.0
DO50857
72 years, male, NA, stage:2, alive, 210 days
2321.4
DO45149
70 years, female, NA, stage:2, alive, 1260 days
2291.1
DO45183
72 years, female, NA, stage:2, dead, 570 days
2248.9
DO48701
78 years, male, NA, stage:2, alive, 780 days
2177.6
DO45161
74 years, male, NA, stage:2, dead, 540 days
2149.7
DO45255
81 years, male, NA, stage:3, alive, 720 days
2147.2
DO48716
71 years, male, NA, stage:2, alive, 720 days
2099.0
DO45165
75 years, male, NA, stage:2, alive, 690 days
2091.6
DO45269
59 years, male, NA, stage:3, alive, 750 days
2063.1
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1985.1
DO50809
56 years, male, NA, stage:3, dead, 720 days
1982.1
DO45181
84 years, female, NA, stage:2, alive, 1200 days
1928.5
DO45111
74 years, male, NA, stage:2, alive, 1590 days
1885.0
DO45237
58 years, male, NA, stage:2, alive, 900 days
1877.5
DO45283
60 years, male, NA, stage:3, alive, 510 days
1871.6
DO45203
71 years, female, NA, stage:2, alive, 1170 days
1807.4
DO48730
73 years, female, NA, stage:2, alive, 630 days
1732.5
DO23515
71 years, male, NA, stage:2, alive, 1230 days
1686.9
DO50808
68 years, male, NA, stage:2, alive, 570 days
1665.0
DO48720
62 years, female, NA, stage:2, alive, 570 days
1657.2
DO50791
79 years, female, NA, stage:1, dead, 480 days
1558.1
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1553.9
DO45265
73 years, male, NA, stage:3, alive, 1020 days
1537.1
DO50803
62 years, female, NA, stage:1, alive, 540 days
1536.2
DO45285
59 years, male, NA, stage:3, alive, 480 days
1484.2
DO23548
78 years, female, NA, stage:1, alive, 840 days
1482.4
DO23533
61 years, male, NA, stage:2, alive, 900 days
1479.8
DO227643
79 years, male, NA, stage:2, alive, 1260 days
1461.1
DO45281
83 years, male, NA, stage:4, alive, 750 days
1448.2
DO45093
71 years, male, NA, stage:2, dead, 720 days
1434.6
DO50783
62 years, male, NA, stage:3, alive, 480 days
1419.7
DO48715
58 years, female, NA, stage:2, dead, 690 days
1411.7
DO23546
63 years, male, NA, stage:2, alive, 1050 days
1409.7
DO23538
67 years, male, NA, stage:2, alive, 450 days
1406.7
DO45275
65 years, male, NA, stage:3, dead, 10 days
1400.5
DO45129
61 years, male, NA, stage:3, alive, 1470 days
1390.7
DO23543
63 years, male, NA, stage:2, alive, 1020 days
1337.1
DO45173
63 years, male, NA, stage:3, alive, 1170 days
1308.0
DO45101
63 years, male, NA, stage:2, alive, 1680 days
1291.7
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1280.2
DO50799
66 years, female, NA, stage:2, alive, 540 days
1270.5
DO45171
56 years, male, NA, stage:3, alive, 600 days
1265.2
DO48759
73 years, male, NA, stage:3, alive, 720 days
1230.4
DO23530
53 years, male, NA, stage:4, dead, 180 days
1227.2
DO45131
53 years, male, NA, stage:4, dead, 360 days
1225.7
DO23535
67 years, male, NA, stage:1, alive, 960 days
1222.3
DO23512
60 years, male, NA, stage:1, alive, 1260 days
1207.3
DO45307
54 years, female, NA, stage:4, dead, 240 days
1201.8
DO23537
79 years, male, NA, stage:2, dead, 900 days
1195.4
DO48672
81 years, male, NA, stage:2, alive, 450 days
1191.2
DO50816
63 years, male, NA, stage:2, alive, 390 days
1165.5
DO48746
76 years, male, NA, stage:3, alive, 570 days
1146.7
DO45305
66 years, male, NA, stage:4, alive, 300 days
1145.2
DO48706
72 years, male, NA, stage:2, alive, 870 days
1136.3
DO50820
77 years, female, NA, stage:3, alive, 510 days
1099.3
DO23542
66 years, male, NA, stage:3, alive, 960 days
1099.1
DO50844
75 years, male, NA, stage:4, alive, 300 days
1072.4
DO23536
56 years, male, NA, stage:2, alive, 930 days
1064.8
DO23549
74 years, male, NA, stage:3, alive, 990 days
1056.8
DO50829
78 years, male, NA, stage:3, alive, 570 days
1043.3
DO23540
73 years, male, NA, stage:1, alive, 750 days
1023.6
DO45301
56 years, male, NA, stage:2, dead, 1440 days
1014.4
DO45105
61 years, male, NA, stage:1, alive, 1680 days
971.1
DO23545
67 years, male, NA, stage:2, dead, 570 days
955.9
DO45221
75 years, female, NA, stage:4, dead, 390 days
952.2
DO48695
77 years, male, NA, stage:2, alive, 720 days
919.2
DO45163
76 years, male, NA, stage:2, alive, 960 days
915.6
DO23528
45 years, female, NA, stage:2, alive, 1020 days
897.8
DO50839
47 years, female, NA, stage:3, alive, 330 days
856.8
DO45115
81 years, male, NA, stage:2, alive, 840 days
852.1
DO23534
60 years, male, NA, stage:2, alive, 840 days
834.4
DO45217
69 years, female, NA, stage:3, dead, 270 days
819.7
DO48741
64 years, male, NA, stage:3, alive, 240 days
815.2
DO45107
63 years, female, NA, stage:2, alive, 1710 days
796.6
DO23514
64 years, male, NA, stage:2, alive, 1290 days
777.5
DO23526
66 years, male, NA, stage:3, alive, 1050 days
765.6
DO45185
89 years, male, NA, stage:2, alive, 600 days
739.7
DO50793
76 years, male, NA, stage:4, alive, 540 days
715.8
DO50811
62 years, male, NA, stage:1, alive, 450 days
688.0
DO48757
68 years, female, NA, stage:3, alive, 480 days
676.9
DO50859
77 years, male, NA, stage:2, alive, 180 days
660.0
DO50802
49 years, male, NA, stage:2, alive, 930 days
639.7
DO50840
49 years, male, NA, stage:2, alive, 330 days
616.5
DO50804
81 years, male, NA, stage:2, alive, 720 days
584.5
DO50817
75 years, male, NA, stage:2, alive, 390 days
575.2
DO23521
63 years, male, NA, stage:3, alive, 1110 days
571.7
DO48677
58 years, male, NA, stage:3, alive, 1140 days
551.0
DO48747
62 years, male, NA, stage:3, alive, 540 days
550.6
DO45127
73 years, male, NA, stage:3, dead, 420 days
526.9
DO23511
83 years, female, NA, stage:3, dead, 180 days
523.0
DO45096
69 years, male, NA, stage:2, dead, 1290 days
493.5
DO45133
64 years, male, NA, stage:3, dead, 660 days
483.1
DO45205
67 years, female, NA, stage:2, dead, 90 days
437.4
DO23539
77 years, male, NA, stage:1, alive, 1110 days
430.8
DO23519
65 years, male, NA, stage:3, alive, 630 days
424.6
DO48723
73 years, male, NA, stage:1, alive, 600 days
391.7
DO23532
71 years, female, NA, stage:1, alive, 960 days
383.8
DO45097
69 years, male, NA, stage:3, alive, 1620 days
377.0
DO45267
73 years, male, NA, stage:3, dead, 570 days
359.6
DO45277
64 years, male, NA, stage:3, alive, 600 days
357.3
DO50814
83 years, male, NA, stage:3, alive, 420 days
319.4
DO45189
85 years, female, NA, stage:2, alive, 1200 days
298.6
DO23529
72 years, male, NA, stage:4, alive, 930 days
288.2
DO45193
68 years, female, NA, stage:4, dead, 120 days
195.3
DO48719
80 years, male, NA, stage:2, alive, 690 days
191.7
DO23513
76 years, male, NA, stage:3, alive, 1200 days
158.8
DO45125
58 years, male, NA, stage:3, alive, 1680 days
149.9
DO50815
62 years, male, NA, stage:3, alive, 150 days
140.0
DO48681
57 years, male, NA, stage:2, alive, 900 days
136.0
DO23516
69 years, male, NA, stage:3, dead, 20 days
98.2
DO45287
74 years, male, NA, stage:1, alive, 390 days
95.2
DO45259
65 years, male, NA, stage:3, alive, 330 days
50.7
DO50785
37 years, male, NA, stage:4, dead, 90 days
49.2
DO45209
70 years, male, NA, stage:4, alive, 1350 days
47.2
DO45297
61 years, female, NA, stage:4, dead, 1260 days
39.7
DO48751
68 years, male, NA, stage:2, dead, 480 days
30.9
DO45299
70 years, female, NA, stage:1, alive, 1440 days
21.2
DO23523
52 years, male, NA, stage:3, alive, 1080 days
15.9
DO45303
62 years, female, NA, stage:3, alive, 990 days
9.1
DO45145
78 years, male, NA, stage:3, dead, 60 days
9.0
DO45211
76 years, male, NA, stage:3, alive, 240 days
5.8
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
343
Tumor
2.3
671
Tumor
2.3
877
Tumor
1.9
975
Tumor
1.8
471
Tumor
1.7
713
Tumor
1.5
393
Tumor
1.3
557
Tumor
1.2
467
Tumor
1.1
223
Tumor
1.0
125
Tumor
0.9
425
Tumor
0.9
395
Tumor
0.9
217
Tumor
0.8
745
Tumor
0.8
813
Tumor
0.8
224
Normal
0.8
526
Normal
0.8
385
Tumor
0.8
857
Tumor
0.8
375
Tumor
0.7
353
Tumor
0.7
311
Tumor
0.7
218
Normal
0.7
523
Tumor
0.7
524
Normal
0.6
536
Normal
0.6
451
Tumor
0.6
195
Tumor
0.6
697
Tumor
0.6
817
Tumor
0.5
391
Tumor
0.5
981
Tumor
0.5
525
Tumor
0.5
672
Normal
0.5
573
Tumor
0.5
823
Tumor
0.5
286
Normal
0.4
392
Normal
0.4
1025
Tumor
0.4
344
Normal
0.4
863
Tumor
0.4
221
Tumor
0.4
527
Tumor
0.4
937
Tumor
0.4
665
Tumor
0.4
396
Normal
0.4
135
Tumor
0.4
352
Normal
0.4
191
Tumor
0.4
545
Tumor
0.3
558
Normal
0.3
641
Tumor
0.3
498
Normal
0.3
137
Tumor
0.3
517
Tumor
0.3
785
Tumor
0.3
815
Tumor
0.3
145
Tumor
0.3
917
Tumor
0.3
444
Normal
0.2
497
Tumor
0.2
488
Normal
0.2
113
Tumor
0.2
342
Normal
0.2
686
Normal
0.2
192
Normal
0.2
983
Tumor
0.2
228
Normal
0.2
422
Normal
0.2
455
Tumor
0.2
514
Normal
0.2
491
Tumor
0.2
968
Normal
0.2
368
Normal
0.2
285
Tumor
0.2
297
Tumor
0.2
884
Normal
0.2
636
Normal
0.1
394
Normal
0.1
568
Normal
0.1
642
Normal
0.1
351
Tumor
0.1
778
Normal
0.1
142
Normal
0.1
447
Tumor
0.1
1026
Normal
0.1
1015
Tumor
0.1
696
Normal
0.1
1022
Normal
0.1
967
Tumor
0.1
535
Tumor
0.1
814
Normal
0.1
384
Normal
0.1
954
Normal
0.1
257
Tumor
0.1
433
Tumor
0.1
331
Tumor
0.1
528
Normal
0.1
376
Normal
0.0
492
Normal
0.0
1045
Tumor
0.0
572
Normal
0.0
963
Tumor
0.0
881
Tumor
0.0
574
Normal
0.0
494
Normal
0.0
261
Tumor
0.0
538
Normal
0.0
685
Tumor
0.0
618
Normal
0.0
468
Normal
0.0
944
Normal
0.0
443
Tumor
0.0
926
Normal
0.0
1044
Normal
0.0
666
Normal
0.0
354
Normal
0.0
448
Normal
0.0
283
Tumor
0.0
938
Normal
0.0
332
Normal
0.0
421
Tumor
0.0
212
Normal
0.0
617
Tumor
0.0
616
Normal
0.0
563
Tumor
-0.1
196
Normal
-0.1
721
Tumor
-0.1
111
Normal
-0.1
982
Normal
-0.1
187
Tumor
-0.1
364
Normal
-0.1
546
Normal
-0.1
446
Normal
-0.1
956
Normal
-0.1
388
Normal
-0.1
786
Normal
-0.1
723
Tumor
-0.1
1016
Normal
-0.1
953
Tumor
-0.1
213
Tumor
-0.1
493
Tumor
-0.1
964
Normal
-0.1
567
Tumor
-0.1
943
Tumor
-0.1
314
Normal
-0.1
518
Normal
-0.1
918
Normal
-0.1
463
Tumor
-0.1
358
Normal
-0.1
722
Normal
-0.1
232
Normal
-0.1
716
Normal
-0.1
728
Normal
-0.2
185
Tumor
-0.2
461
Tumor
-0.2
984
Normal
-0.2
958
Normal
-0.2
1046
Normal
-0.2
924
Normal
-0.2
462
Normal
-0.2
482
Normal
-0.2
756
Normal
-0.2
341
Tumor
-0.2
414
Normal
-0.2
714
Normal
-0.2
124
Normal
-0.2
481
Tumor
-0.2
664
Normal
-0.2
386
Normal
-0.2
413
Tumor
-0.2
284
Normal
-0.2
858
Normal
-0.2
564
Normal
-0.2
367
Tumor
-0.2
445
Tumor
-0.2
615
Tumor
-0.2
148
Normal
-0.2
951
Tumor
-0.2
141
Tumor
-0.2
916
Normal
-0.2
914
Normal
-0.2
426
Normal
-0.2
553
Tumor
-0.2
648
Normal
-0.3
746
Normal
-0.3
1028
Normal
-0.3
222
Normal
-0.3
976
Normal
-0.3
866
Normal
-0.3
952
Normal
-0.3
146
Normal
-0.3
474
Normal
-0.3
363
Tumor
-0.3
456
Normal
-0.3
1021
Tumor
-0.3
472
Normal
-0.3
432
Normal
-0.3
966
Normal
-0.3
126
Normal
-0.3
534
Normal
-0.3
662
Normal
-0.3
571
Tumor
-0.3
262
Normal
-0.3
554
Normal
-0.3
816
Normal
-0.3
277
Tumor
-0.3
112
Tumor
-0.3
298
Normal
-0.3
635
Tumor
-0.3
1014
Normal
-0.3
978
Normal
-0.3
882
Normal
-0.3
466
Normal
-0.3
484
Normal
-0.3
214
Normal
-0.3
883
Tumor
-0.3
258
Normal
-0.3
513
Tumor
-0.3
478
Normal
-0.4
186
Normal
-0.4
313
Tumor
-0.4
361
Tumor
-0.4
365
Tumor
-0.4
424
Normal
-0.4
912
Normal
-0.4
312
Normal
-0.4
487
Tumor
-0.4
147
Tumor
-0.4
1042
Normal
-0.4
516
Normal
-0.4
268
Normal
-0.4
922
Normal
-0.4
724
Normal
-0.4
452
Normal
-0.4
663
Tumor
-0.4
267
Tumor
-0.4
383
Tumor
-0.4
742
Normal
-0.4
878
Normal
-0.4
695
Tumor
-0.4
327
Tumor
-0.4
138
Normal
-0.4
824
Normal
-0.4
627
Tumor
-0.4
861
Tumor
-0.4
415
Tumor
-0.4
862
Normal
-0.5
328
Normal
-0.5
132
Normal
-0.5
743
Tumor
-0.5
755
Tumor
-0.5
744
Normal
-0.5
1043
Tumor
-0.5
162
Normal
-0.5
464
Normal
-0.5
818
Normal
-0.5
777
Tumor
-0.5
628
Normal
-0.5
852
Normal
-0.5
136
Normal
-0.5
661
Tumor
-0.5
868
Normal
-0.5
715
Tumor
-0.5
515
Tumor
-0.5
278
Normal
-0.5
172
Normal
-0.5
483
Tumor
-0.5
865
Tumor
-0.5
436
Normal
-0.5
362
Normal
-0.5
533
Tumor
-0.6
227
Tumor
-0.6
434
Normal
-0.6
128
Normal
-0.6
366
Normal
-0.6
851
Tumor
-0.6
738
Normal
-0.6
114
Normal
-0.6
188
Normal
-0.6
211
Tumor
-0.6
864
Normal
-0.6
1041
Tumor
-0.6
741
Tumor
-0.7
387
Tumor
-0.7
647
Tumor
-0.7
428
Normal
-0.7
1032
Normal
-0.7
913
Tumor
-0.7
272
Normal
-0.7
416
Normal
-0.7
357
Tumor
-0.7
737
Tumor
-0.7
431
Tumor
-0.7
356
Normal
-0.7
131
Tumor
-0.7
955
Tumor
-0.7
355
Tumor
-0.8
915
Tumor
-0.8
465
Tumor
-0.8
925
Tumor
-0.8
423
Tumor
-0.8
874
Normal
-0.8
965
Tumor
-0.9
537
Tumor
-0.9
271
Tumor
-0.9
911
Tumor
-0.9
727
Tumor
-0.9
1027
Tumor
-0.9
698
Normal
-0.9
873
Tumor
-0.9
161
Tumor
-0.9
867
Tumor
-0.9
412
Normal
-0.9
127
Tumor
-0.9
977
Tumor
-1.0
923
Tumor
-1.0
477
Tumor
-1.0
921
Tumor
-1.1
435
Tumor
-1.1
231
Tumor
-1.1
123
Tumor
-1.1
957
Tumor
-1.1
427
Tumor
-1.2
1013
Tumor
-1.2
171
Tumor
-1.4
473
Tumor
-1.5
1031
Tumor
-1.5
411
Tumor
-2.1
Show allShow less
LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
