We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SERPING1 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
1194.4
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
5482.1
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
4909.8
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
4908.9
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
3842.9
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
3777.0
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
3341.2
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
3264.4
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
3263.2
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
3237.9
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
3090.2
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
3072.7
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
2953.8
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
2949.2
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
2943.8
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
2934.4
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
2933.5
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
2926.2
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
2868.8
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
2846.0
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
2833.4
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
2826.6
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
2812.0
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
2798.2
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
2786.1
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
2752.6
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
2724.1
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
2705.0
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
2658.0
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
2654.9
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
2605.3
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
2592.1
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
2591.6
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
2581.5
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
2541.4
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
2532.2
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
2523.9
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
2505.7
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
2488.4
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
2475.4
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
2446.1
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
2387.8
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
2359.6
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
2350.1
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
2338.4
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
2332.1
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
2308.9
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
2284.3
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
2255.6
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
2254.8
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
2251.1
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
2233.8
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
2187.2
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
2181.7
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
2176.8
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
2167.1
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
2150.3
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
2148.3
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
2141.0
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
2122.0
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
2109.7
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
2098.7
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
2066.2
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
2015.3
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
2010.4
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
1978.9
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
1916.1
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
1910.2
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
1898.4
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
1880.4
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
1879.0
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
1868.9
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
1856.8
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
1856.0
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1853.8
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1831.6
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
1797.8
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1784.7
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
1769.4
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1766.7
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1764.5
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
1734.8
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1714.4
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
1691.8
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
1682.4
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
1670.4
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1653.3
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
1649.9
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
1649.6
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
1637.0
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
1629.1
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
1615.3
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1614.0
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
1606.2
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1604.5
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1596.2
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
1593.6
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1588.1
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1581.4
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1581.0
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
1575.3
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
1574.2
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1568.1
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
1547.0
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1541.0
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1538.3
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
1510.0
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
1509.2
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1503.5
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1503.0
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
1491.0
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
1488.4
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
1474.8
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
1460.5
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1459.8
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
1458.3
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
1456.7
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1456.1
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
1454.1
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1453.3
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
1445.3
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
1442.7
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1411.0
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
1402.8
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
1399.6
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1399.1
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
1375.9
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
1371.2
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
1365.4
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
1338.4
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
1332.9
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1330.6
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
1326.9
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
1325.7
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
1311.2
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
1303.7
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
1277.6
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1270.9
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
1264.6
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
1247.8
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1244.7
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
1243.1
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
1236.9
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1226.9
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
1222.9
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1222.0
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1215.2
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
1213.2
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1207.0
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1206.9
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
1198.1
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
1195.3
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1172.2
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
1162.6
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1161.5
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1152.2
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
1147.9
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
1128.6
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
1114.4
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
1112.7
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
1112.6
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1107.2
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
1089.7
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
1087.9
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
1086.0
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
1084.7
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
1084.3
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
1084.0
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1083.3
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
1082.7
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1071.4
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1066.6
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1062.5
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
1057.5
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1055.5
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
1050.6
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
1043.3
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1043.2
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1037.9
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1030.2
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1026.1
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
1024.1
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1020.8
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1014.7
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
1002.5
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1000.6
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
991.5
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
987.8
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
980.5
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
974.1
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
972.4
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
969.7
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
967.5
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
964.6
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
942.5
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
930.3
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
922.4
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
921.6
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
899.5
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
888.1
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
887.5
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
886.0
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
880.9
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
876.2
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
867.8
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
863.2
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
858.6
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
851.1
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
843.6
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
821.7
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
819.6
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
819.1
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
816.7
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
813.3
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
807.3
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
806.6
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
801.5
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
800.4
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
797.4
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
795.6
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
790.9
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
784.2
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
774.5
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
761.8
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
758.0
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
757.7
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
757.1
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
752.0
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
748.7
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
746.5
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
744.4
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
742.4
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
741.7
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
735.1
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
727.6
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
725.7
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
720.6
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
720.2
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
701.1
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
685.0
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
682.5
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
652.4
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
643.8
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
638.7
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
622.6
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
609.4
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
608.1
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
597.3
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
595.5
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
592.6
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
591.9
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
591.8
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
590.3
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
585.8
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
579.4
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
574.8
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
573.7
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
569.7
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
564.9
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
560.5
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
553.5
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
544.6
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
536.6
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
532.2
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
522.2
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
522.1
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
517.2
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
516.1
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
498.2
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
497.5
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
492.9
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
488.5
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
486.7
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
479.8
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
479.1
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
477.3
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
464.5
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
462.2
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
458.1
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
456.9
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
456.5
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
456.0
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
452.2
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
449.4
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
448.5
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
447.1
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
446.7
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
444.2
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
441.9
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
436.5
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
433.0
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
430.4
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
429.9
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
429.0
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
427.5
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
422.5
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
420.3
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
420.0
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
404.4
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
401.9
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
400.8
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
392.3
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
390.5
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
385.1
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
385.1
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
381.0
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
372.9
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
367.2
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
360.7
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
359.6
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
355.5
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
354.3
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
350.2
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
346.7
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
343.8
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
342.5
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
340.0
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
339.3
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
337.0
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
333.2
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
318.6
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
311.3
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
304.4
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
296.4
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
295.6
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
291.0
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
269.1
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
267.7
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
263.0
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
257.6
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
226.0
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
215.8
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
210.9
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
209.5
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
199.1
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
197.1
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
194.5
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
179.0
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
174.1
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
159.4
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
157.6
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
144.9
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
139.1
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
127.5
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
126.9
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
125.9
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
118.6
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
109.6
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
104.7
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
78.0
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
73.4
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
66.9
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
56.5
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
55.3
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
53.8
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
51.8
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
50.7
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
43.9
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
37.8
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
36.0
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
34.0
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
22.2
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 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.
SERPING1 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
1851.7
Number of samples
231
Samples
Sample
Description
pTPM
DO50807
67 years, male, NA, stage:1, alive, 540 days
5531.6
DO45094
76 years, male, NA, stage:3, alive, 1650 days
5137.3
DO45227
57 years, female, NA, stage:2, alive, 1020 days
4927.8
DO50819
72 years, female, NA, stage:2, alive, 510 days
4436.7
DO45167
67 years, male, NA, stage:2, dead, 1440 days
4426.3
DO48733
72 years, male, NA, stage:2, alive, 600 days
4285.6
DO48760
70 years, female, NA, stage:2, alive, 690 days
4262.7
DO45111
74 years, male, NA, stage:2, alive, 1590 days
4120.1
DO227643
79 years, male, NA, stage:2, alive, 1260 days
3963.9
DO50818
65 years, male, NA, stage:2, alive, 510 days
3962.8
DO50832
73 years, male, NA, stage:3, alive, 90 days
3959.5
DO23512
60 years, male, NA, stage:1, alive, 1260 days
3835.0
DO50787
63 years, male, NA, stage:3, alive, 480 days
3821.0
DO45091
56 years, male, NA, stage:2, dead, 1320 days
3643.8
DO23551
73 years, male, NA, stage:3, dead, 150 days
3536.5
DO23536
56 years, male, NA, stage:2, alive, 930 days
3533.3
DO48677
58 years, male, NA, stage:3, alive, 1140 days
3532.5
DO48693
71 years, male, NA, stage:2, alive, 900 days
3497.1
DO23527
72 years, male, NA, stage:1, alive, 1050 days
3493.4
DO23548
78 years, female, NA, stage:1, alive, 840 days
3417.4
DO45181
84 years, female, NA, stage:2, alive, 1200 days
3386.1
DO45159
65 years, male, NA, stage:3, alive, 1470 days
3343.9
DO23550
69 years, male, NA, stage:1, alive, 990 days
3331.2
DO45257
46 years, male, NA, stage:3, alive, 810 days
3316.7
DO50789
73 years, female, NA, stage:2, alive, 570 days
3296.7
DO45255
81 years, male, NA, stage:3, alive, 720 days
3201.2
DO45199
86 years, female, NA, stage:2, alive, 1350 days
3133.1
DO50776
75 years, male, NA, stage:1, alive, 690 days
3120.0
DO23544
67 years, male, NA, stage:2, alive, 960 days
3087.7
DO45229
74 years, male, NA, stage:1, alive, 990 days
3087.1
DO23543
63 years, male, NA, stage:2, alive, 1020 days
3058.0
DO48719
80 years, male, NA, stage:2, alive, 690 days
3051.7
DO23531
78 years, female, NA, stage:3, alive, 900 days
3042.7
DO50800
74 years, male, NA, stage:2, alive, 510 days
3039.3
DO48721
58 years, female, NA, stage:1, alive, 900 days
3032.6
DO45237
58 years, male, NA, stage:2, alive, 900 days
3005.5
DO23510
80 years, female, NA, stage:2, alive, 870 days
2995.6
DO45207
68 years, male, NA, stage:1, alive, 1050 days
2983.4
DO23533
61 years, male, NA, stage:2, alive, 900 days
2965.3
DO23518
67 years, male, NA, stage:2, alive, 1320 days
2962.4
DO45261
74 years, male, NA, stage:3, alive, 990 days
2961.8
DO48732
73 years, male, NA, stage:3, alive, 630 days
2959.7
DO23549
74 years, male, NA, stage:3, alive, 990 days
2959.1
DO50793
76 years, male, NA, stage:4, alive, 540 days
2954.5
DO45195
62 years, male, NA, stage:1, alive, 390 days
2950.9
DO50774
68 years, female, NA, stage:2, alive, 720 days
2851.4
DO50825
70 years, male, NA, stage:2, alive, 390 days
2821.7
DO50816
63 years, male, NA, stage:2, alive, 390 days
2794.5
DO45171
56 years, male, NA, stage:3, alive, 600 days
2794.0
DO45215
65 years, male, NA, stage:2, alive, 1170 days
2778.5
DO48716
71 years, male, NA, stage:2, alive, 720 days
2763.1
DO45179
78 years, female, NA, stage:2, alive, 600 days
2746.6
DO23542
66 years, male, NA, stage:3, alive, 960 days
2668.2
DO23514
64 years, male, NA, stage:2, alive, 1290 days
2662.9
DO45113
58 years, male, NA, stage:3, alive, 1560 days
2645.3
DO48737
52 years, male, NA, stage:1, alive, 720 days
2642.8
DO45133
64 years, male, NA, stage:3, dead, 660 days
2640.3
DO48742
76 years, male, NA, stage:2, alive, 600 days
2634.6
DO50803
62 years, female, NA, stage:1, alive, 540 days
2568.8
DO48674
80 years, male, NA, stage:2, alive, 1260 days
2554.5
DO45107
63 years, female, NA, stage:2, alive, 1710 days
2551.0
DO50822
66 years, male, NA, stage:2, alive, 510 days
2537.5
DO227801
77 years, female, NA, stage:1, alive, 660 days
2534.8
DO45175
74 years, male, NA, stage:2, alive, 1140 days
2526.2
DO50857
72 years, male, NA, stage:2, alive, 210 days
2505.0
DO45141
73 years, male, NA, stage:2, alive, 1320 days
2485.8
DO48727
81 years, female, NA, stage:2, dead, 390 days
2473.7
DO45129
61 years, male, NA, stage:3, alive, 1470 days
2471.0
DO45092
62 years, male, NA, stage:4, dead, 1200 days
2444.1
DO23534
60 years, male, NA, stage:2, alive, 840 days
2411.4
DO45115
81 years, male, NA, stage:2, alive, 840 days
2410.8
DO45169
74 years, male, NA, stage:3, alive, 1350 days
2389.4
DO50850
74 years, male, NA, stage:3, alive, 720 days
2386.2
DO23538
67 years, male, NA, stage:2, alive, 450 days
2367.4
DO45153
77 years, female, NA, stage:2, alive, 1380 days
2332.7
DO48761
55 years, male, NA, stage:2, alive, 870 days
2301.1
DO23525
71 years, male, NA, stage:4, alive, 1050 days
2295.7
DO48743
69 years, female, NA, stage:2, alive, 570 days
2277.1
DO45137
38 years, male, NA, stage:1, alive, 1320 days
2272.3
DO48723
73 years, male, NA, stage:1, alive, 600 days
2224.1
DO23552
80 years, female, NA, stage:1, alive, 810 days
2221.5
DO45231
84 years, male, NA, stage:2, alive, 930 days
2155.2
DO48679
72 years, male, NA, stage:2, alive, 1200 days
2141.7
DO50798
77 years, male, NA, stage:3, dead, 30 days
2127.0
DO48695
77 years, male, NA, stage:2, alive, 720 days
2122.5
DO45201
49 years, male, NA, stage:1, alive, 900 days
2101.9
DO45099
46 years, male, NA, stage:3, alive, 1590 days
2090.2
DO45157
62 years, male, NA, stage:2, alive, 1980 days
2084.4
DO45097
69 years, male, NA, stage:3, alive, 1620 days
2084.2
DO48746
76 years, male, NA, stage:3, alive, 570 days
2067.9
DO45249
57 years, male, NA, stage:1, alive, 630 days
2067.5
DO45235
68 years, female, NA, stage:1, alive, 900 days
2038.5
DO45117
73 years, female, NA, stage:2, dead, 1110 days
2030.6
DO50813
56 years, male, NA, stage:2, alive, 420 days
1989.1
DO45109
63 years, male, NA, stage:2, alive, 1590 days
1976.4
DO23535
67 years, male, NA, stage:1, alive, 960 days
1974.0
DO45185
89 years, male, NA, stage:2, alive, 600 days
1965.0
DO23532
71 years, female, NA, stage:1, alive, 960 days
1933.1
DO23517
62 years, male, NA, stage:2, alive, 1200 days
1930.6
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1910.7
DO23513
76 years, male, NA, stage:3, alive, 1200 days
1902.9
DO50845
72 years, male, NA, stage:3, alive, 210 days
1886.9
DO45131
53 years, male, NA, stage:4, dead, 360 days
1863.9
DO45125
58 years, male, NA, stage:3, alive, 1680 days
1862.4
DO45163
76 years, male, NA, stage:2, alive, 960 days
1858.6
DO50840
49 years, male, NA, stage:2, alive, 330 days
1853.8
DO45223
67 years, male, NA, stage:4, alive, 1020 days
1853.1
DO45273
62 years, male, NA, stage:2, alive, 480 days
1844.9
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1801.8
DO45101
63 years, male, NA, stage:2, alive, 1680 days
1777.2
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1769.1
DO45281
83 years, male, NA, stage:4, alive, 750 days
1766.9
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1761.7
DO23511
83 years, female, NA, stage:3, dead, 180 days
1758.2
DO45149
70 years, female, NA, stage:2, alive, 1260 days
1754.2
DO48700
78 years, female, NA, stage:2, alive, 810 days
1707.9
DO23530
53 years, male, NA, stage:4, dead, 180 days
1692.3
DO50804
81 years, male, NA, stage:2, alive, 720 days
1653.1
DO45263
67 years, male, NA, stage:3, dead, 270 days
1650.5
DO50802
49 years, male, NA, stage:2, alive, 930 days
1617.0
DO45197
51 years, male, NA, stage:2, alive, 1170 days
1605.9
DO48712
50 years, male, NA, stage:2, alive, 810 days
1598.5
DO48725
66 years, male, NA, stage:1, alive, 780 days
1597.9
DO23540
73 years, male, NA, stage:1, alive, 750 days
1570.0
DO23524
71 years, female, NA, stage:2, alive, 1050 days
1564.3
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1560.9
DO48704
68 years, female, NA, stage:3, alive, 750 days
1555.1
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1552.2
DO45135
77 years, male, NA, stage:1, alive, 1410 days
1510.2
DO50817
75 years, male, NA, stage:2, alive, 390 days
1503.9
DO23529
72 years, male, NA, stage:4, alive, 930 days
1500.2
DO45233
83 years, male, NA, stage:3, alive, 900 days
1495.0
DO50839
47 years, female, NA, stage:3, alive, 330 days
1476.0
DO48672
81 years, male, NA, stage:2, alive, 450 days
1470.7
DO23509
60 years, male, NA, stage:3, dead, 780 days
1469.5
DO23541
65 years, male, NA, stage:2, alive, 930 days
1459.4
DO48728
74 years, female, NA, stage:2, alive, 150 days
1442.3
DO45203
71 years, female, NA, stage:2, alive, 1170 days
1440.1
DO45123
78 years, female, NA, stage:2, dead, 570 days
1439.5
DO50805
72 years, male, NA, stage:2, alive, 690 days
1437.6
DO45191
61 years, female, NA, stage:2, alive, 1200 days
1416.5
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1400.0
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1387.2
DO50791
79 years, female, NA, stage:1, dead, 480 days
1383.3
DO45221
75 years, female, NA, stage:4, dead, 390 days
1356.3
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1347.1
DO45103
47 years, male, NA, stage:3, alive, 450 days
1346.2
DO45209
70 years, male, NA, stage:4, alive, 1350 days
1342.1
DO45265
73 years, male, NA, stage:3, alive, 1020 days
1315.5
DO48706
72 years, male, NA, stage:2, alive, 870 days
1310.9
DO23546
63 years, male, NA, stage:2, alive, 1050 days
1300.7
DO48682
72 years, female, NA, stage:3, dead, 120 days
1264.4
DO50799
66 years, female, NA, stage:2, alive, 540 days
1226.4
DO45096
69 years, male, NA, stage:2, dead, 1290 days
1223.8
DO23547
74 years, male, NA, stage:1, alive, 1020 days
1198.2
DO45183
72 years, female, NA, stage:2, dead, 570 days
1181.1
DO45165
75 years, male, NA, stage:2, alive, 690 days
1146.8
DO45253
50 years, male, NA, stage:2, alive, 870 days
1141.2
DO45173
63 years, male, NA, stage:3, alive, 1170 days
1134.1
DO50859
77 years, male, NA, stage:2, alive, 180 days
1128.3
DO50783
62 years, male, NA, stage:3, alive, 480 days
1115.7
DO45161
74 years, male, NA, stage:2, dead, 540 days
1113.4
DO45251
57 years, female, NA, stage:2, alive, 900 days
1109.8
DO45155
69 years, male, NA, stage:2, alive, 2160 days
1105.1
DO45279
67 years, male, NA, stage:3, alive, 1290 days
1090.2
DO48701
78 years, male, NA, stage:2, alive, 780 days
1088.9
DO50778
60 years, male, NA, stage:4, alive, 630 days
1076.7
DO48715
58 years, female, NA, stage:2, dead, 690 days
1068.0
DO50809
56 years, male, NA, stage:3, dead, 720 days
1062.2
DO50806
70 years, male, NA, stage:4, alive, 540 days
1060.3
DO45277
64 years, male, NA, stage:3, alive, 600 days
1020.4
DO50808
68 years, male, NA, stage:2, alive, 570 days
1019.3
DO45243
74 years, female, NA, stage:3, alive, 930 days
1013.6
DO48697
64 years, female, NA, stage:2, dead, 810 days
995.4
DO48736
76 years, female, NA, stage:1, alive, 600 days
979.7
DO48759
73 years, male, NA, stage:3, alive, 720 days
978.8
DO50820
77 years, female, NA, stage:3, alive, 510 days
975.8
DO48720
62 years, female, NA, stage:2, alive, 570 days
953.0
DO45119
74 years, male, NA, stage:3, dead, 510 days
940.6
DO23537
79 years, male, NA, stage:2, dead, 900 days
931.2
DO48730
73 years, female, NA, stage:2, alive, 630 days
922.5
DO50829
78 years, male, NA, stage:3, alive, 570 days
922.0
DO45303
62 years, female, NA, stage:3, alive, 990 days
913.4
DO23508
79 years, female, NA, stage:2, alive, 390 days
883.8
DO23545
67 years, male, NA, stage:2, dead, 570 days
883.0
DO50855
47 years, male, NA, stage:2, alive, 570 days
875.6
DO50814
83 years, male, NA, stage:3, alive, 420 days
863.4
DO45283
60 years, male, NA, stage:3, alive, 510 days
855.3
DO45105
61 years, male, NA, stage:1, alive, 1680 days
845.0
DO50811
62 years, male, NA, stage:1, alive, 450 days
837.3
DO45121
61 years, male, NA, stage:3, alive, 1530 days
753.9
DO45267
73 years, male, NA, stage:3, dead, 570 days
753.7
DO45289
78 years, female, NA, stage:3, alive, 360 days
748.5
DO45259
65 years, male, NA, stage:3, alive, 330 days
736.0
DO23528
45 years, female, NA, stage:2, alive, 1020 days
728.1
DO45205
67 years, female, NA, stage:2, dead, 90 days
727.9
DO45093
71 years, male, NA, stage:2, dead, 720 days
716.6
DO23521
63 years, male, NA, stage:3, alive, 1110 days
690.5
DO23526
66 years, male, NA, stage:3, alive, 1050 days
664.0
DO45239
42 years, male, NA, stage:2, alive, 870 days
643.8
DO23515
71 years, male, NA, stage:2, alive, 1230 days
557.7
DO45269
59 years, male, NA, stage:3, alive, 750 days
548.8
DO50844
75 years, male, NA, stage:4, alive, 300 days
548.3
DO45187
32 years, female, NA, stage:1, alive, 1260 days
547.8
DO45127
73 years, male, NA, stage:3, dead, 420 days
525.9
DO45247
31 years, female, NA, stage:2, alive, 210 days
513.4
DO48681
57 years, male, NA, stage:2, alive, 900 days
512.5
DO45287
74 years, male, NA, stage:1, alive, 390 days
504.6
DO45297
61 years, female, NA, stage:4, dead, 1260 days
470.4
DO45189
85 years, female, NA, stage:2, alive, 1200 days
461.7
DO23516
69 years, male, NA, stage:3, dead, 20 days
455.1
DO45275
65 years, male, NA, stage:3, dead, 10 days
436.3
DO45305
66 years, male, NA, stage:4, alive, 300 days
430.6
DO48741
64 years, male, NA, stage:3, alive, 240 days
427.6
DO23523
52 years, male, NA, stage:3, alive, 1080 days
418.1
DO45217
69 years, female, NA, stage:3, dead, 270 days
365.6
DO45145
78 years, male, NA, stage:3, dead, 60 days
355.9
DO48747
62 years, male, NA, stage:3, alive, 540 days
340.3
DO45301
56 years, male, NA, stage:2, dead, 1440 days
330.3
DO45285
59 years, male, NA, stage:3, alive, 480 days
322.8
DO23519
65 years, male, NA, stage:3, alive, 630 days
314.4
DO45307
54 years, female, NA, stage:4, dead, 240 days
312.9
DO48757
68 years, female, NA, stage:3, alive, 480 days
309.1
DO48717
54 years, male, NA, stage:4, dead, 180 days
287.6
DO50785
37 years, male, NA, stage:4, dead, 90 days
226.7
DO45193
68 years, female, NA, stage:4, dead, 120 days
225.2
DO50815
62 years, male, NA, stage:3, alive, 150 days
207.7
DO48751
68 years, male, NA, stage:2, dead, 480 days
183.9
DO45211
76 years, male, NA, stage:3, alive, 240 days
105.1
DO45299
70 years, female, NA, stage:1, alive, 1440 days
47.3
DO45245
75 years, female, NA, stage:2, dead, 240 days
43.6
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
343
Tumor
1.5
877
Tumor
1.5
425
Tumor
1.4
665
Tumor
1.3
113
Tumor
1.0
664
Normal
0.9
1015
Tumor
0.8
557
Tumor
0.8
635
Tumor
0.8
393
Tumor
0.8
636
Normal
0.8
863
Tumor
0.8
713
Tumor
0.8
395
Tumor
0.8
573
Tumor
0.8
217
Tumor
0.7
384
Normal
0.7
224
Normal
0.7
391
Tumor
0.7
396
Normal
0.7
392
Normal
0.7
112
Tumor
0.6
615
Tumor
0.6
671
Tumor
0.6
1041
Tumor
0.6
1045
Tumor
0.6
192
Normal
0.6
426
Normal
0.6
218
Normal
0.5
267
Tumor
0.5
884
Normal
0.5
368
Normal
0.5
618
Normal
0.5
444
Normal
0.5
857
Tumor
0.5
672
Normal
0.5
344
Normal
0.4
375
Tumor
0.4
1022
Normal
0.4
785
Tumor
0.4
376
Normal
0.4
937
Tumor
0.4
451
Tumor
0.4
981
Tumor
0.4
741
Tumor
0.4
445
Tumor
0.4
686
Normal
0.4
666
Normal
0.4
354
Normal
0.4
342
Normal
0.4
125
Tumor
0.4
135
Tumor
0.4
616
Normal
0.4
452
Normal
0.4
297
Tumor
0.4
468
Normal
0.3
866
Normal
0.3
433
Tumor
0.3
232
Normal
0.3
648
Normal
0.3
332
Normal
0.3
394
Normal
0.3
388
Normal
0.3
464
Normal
0.3
358
Normal
0.3
414
Normal
0.3
697
Tumor
0.3
286
Normal
0.3
574
Normal
0.3
142
Normal
0.3
975
Tumor
0.3
424
Normal
0.3
744
Normal
0.3
141
Tumor
0.3
132
Normal
0.3
467
Tumor
0.3
696
Normal
0.3
813
Tumor
0.3
536
Normal
0.3
778
Normal
0.3
958
Normal
0.3
456
Normal
0.3
228
Normal
0.3
353
Tumor
0.3
148
Normal
0.3
195
Tumor
0.3
187
Tumor
0.3
172
Normal
0.3
642
Normal
0.3
883
Tumor
0.3
816
Normal
0.3
423
Tumor
0.3
365
Tumor
0.3
124
Normal
0.3
352
Normal
0.2
466
Normal
0.2
723
Tumor
0.2
366
Normal
0.2
284
Normal
0.2
432
Normal
0.2
954
Normal
0.2
421
Tumor
0.2
422
Normal
0.2
568
Normal
0.2
535
Tumor
0.2
662
Normal
0.2
628
Normal
0.2
818
Normal
0.2
367
Tumor
0.2
446
Normal
0.2
428
Normal
0.2
386
Normal
0.2
873
Tumor
0.2
261
Tumor
0.2
514
Normal
0.2
647
Tumor
0.2
145
Tumor
0.2
914
Normal
0.2
817
Tumor
0.2
114
Normal
0.2
455
Tumor
0.2
111
Normal
0.2
558
Normal
0.2
196
Normal
0.2
745
Tumor
0.2
298
Normal
0.2
487
Tumor
0.2
1046
Normal
0.2
262
Normal
0.2
563
Tumor
0.2
188
Normal
0.2
823
Tumor
0.2
564
Normal
0.2
268
Normal
0.2
131
Tumor
0.2
742
Normal
0.2
526
Normal
0.1
1044
Normal
0.1
222
Normal
0.1
283
Tumor
0.1
327
Tumor
0.1
162
Normal
0.1
714
Normal
0.1
138
Normal
0.1
1028
Normal
0.1
968
Normal
0.1
722
Normal
0.1
746
Normal
0.1
498
Normal
0.1
491
Tumor
0.1
314
Normal
0.1
258
Normal
0.1
878
Normal
0.1
786
Normal
0.1
136
Normal
0.1
312
Normal
0.1
852
Normal
0.1
361
Tumor
0.1
538
Normal
0.1
462
Normal
0.1
517
Tumor
0.1
527
Tumor
0.1
221
Tumor
0.1
924
Normal
0.1
956
Normal
0.1
824
Normal
0.1
1026
Normal
0.1
627
Tumor
0.1
465
Tumor
0.1
815
Tumor
0.1
488
Normal
0.1
137
Tumor
0.1
494
Normal
0.1
1016
Normal
0.1
146
Normal
0.1
434
Normal
0.1
716
Normal
0.1
311
Tumor
0.1
362
Normal
0.1
524
Normal
0.1
492
Normal
0.1
126
Normal
0.1
572
Normal
0.1
191
Tumor
0.1
214
Normal
0.1
964
Normal
0.1
728
Normal
0.1
383
Tumor
0.1
721
Tumor
0.1
448
Normal
0.0
882
Normal
0.0
868
Normal
0.0
756
Normal
0.0
944
Normal
0.0
963
Tumor
0.0
186
Normal
0.0
851
Tumor
0.0
755
Tumor
0.0
331
Tumor
0.0
364
Normal
0.0
862
Normal
0.0
982
Normal
0.0
212
Normal
0.0
278
Normal
0.0
912
Normal
0.0
447
Tumor
0.0
515
Tumor
0.0
938
Normal
0.0
227
Tumor
0.0
864
Normal
0.0
953
Tumor
0.0
387
Tumor
0.0
977
Tumor
0.0
861
Tumor
0.0
967
Tumor
0.0
874
Normal
0.0
814
Normal
0.0
128
Normal
0.0
546
Normal
0.0
617
Tumor
0.0
363
Tumor
0.0
223
Tumor
0.0
356
Normal
0.0
858
Normal
0.0
461
Tumor
0.0
695
Tumor
0.0
436
Normal
0.0
528
Normal
-0.1
918
Normal
-0.1
523
Tumor
-0.1
478
Normal
-0.1
484
Normal
-0.1
472
Normal
-0.1
482
Normal
-0.1
443
Tumor
-0.1
554
Normal
-0.1
477
Tumor
-0.1
481
Tumor
-0.1
516
Normal
-0.1
922
Normal
-0.1
777
Tumor
-0.1
518
Normal
-0.1
966
Normal
-0.1
917
Tumor
-0.1
185
Tumor
-0.1
1042
Normal
-0.1
916
Normal
-0.1
738
Normal
-0.1
926
Normal
-0.1
1032
Normal
-0.1
913
Tumor
-0.1
743
Tumor
-0.1
978
Normal
-0.1
328
Normal
-0.1
534
Normal
-0.1
1043
Tumor
-0.1
474
Normal
-0.1
685
Tumor
-0.1
1014
Normal
-0.1
431
Tumor
-0.2
571
Tumor
-0.2
984
Normal
-0.2
955
Tumor
-0.2
545
Tumor
-0.2
471
Tumor
-0.2
976
Normal
-0.2
553
Tumor
-0.2
341
Tumor
-0.2
641
Tumor
-0.2
698
Normal
-0.2
127
Tumor
-0.2
416
Normal
-0.2
911
Tumor
-0.2
513
Tumor
-0.2
867
Tumor
-0.2
412
Normal
-0.2
213
Tumor
-0.2
663
Tumor
-0.2
952
Normal
-0.2
915
Tumor
-0.2
272
Normal
-0.3
661
Tumor
-0.3
257
Tumor
-0.3
147
Tumor
-0.3
715
Tumor
-0.3
1027
Tumor
-0.3
463
Tumor
-0.3
737
Tumor
-0.3
1021
Tumor
-0.3
881
Tumor
-0.3
161
Tumor
-0.3
413
Tumor
-0.3
351
Tumor
-0.3
385
Tumor
-0.3
525
Tumor
-0.3
415
Tumor
-0.4
483
Tumor
-0.4
357
Tumor
-0.4
435
Tumor
-0.4
727
Tumor
-0.4
925
Tumor
-0.4
313
Tumor
-0.4
983
Tumor
-0.4
277
Tumor
-0.4
285
Tumor
-0.5
1025
Tumor
-0.5
271
Tumor
-0.5
923
Tumor
-0.5
567
Tumor
-0.5
411
Tumor
-0.6
943
Tumor
-0.6
493
Tumor
-0.6
171
Tumor
-0.6
865
Tumor
-0.6
724
Normal
-0.6
921
Tumor
-0.7
123
Tumor
-0.7
355
Tumor
-0.7
497
Tumor
-0.7
427
Tumor
-0.8
957
Tumor
-0.8
537
Tumor
-0.8
1031
Tumor
-0.8
1013
Tumor
-0.8
951
Tumor
-0.9
231
Tumor
-0.9
965
Tumor
-0.9
211
Tumor
-1.0
533
Tumor
-1.1
473
Tumor
-1.2
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.