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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.
WFDC2 is not prognostic in Ovary Serous Cystadenocarcinoma (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.
: 2.67
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.082
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.
27%
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.
34%
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
3484.9
Number of samples
349
Samples
Sample
Description
TPM
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
21767.7
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
20755.7
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
16672.6
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
16258.6
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
15859.6
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
15420.7
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
13104.8
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
11767.1
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
10937.8
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
10443.8
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
10329.1
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
10267.7
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
10235.3
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
10197.2
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
10136.0
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
10037.7
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
9809.9
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
9561.4
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
9441.0
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
9281.7
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
9119.7
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
9089.2
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
8847.9
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
8776.0
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
8401.1
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
8349.2
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
8288.7
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
8007.9
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
7898.7
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
7831.8
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
7739.0
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
7578.3
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
7496.4
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
7431.6
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
7182.1
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
7159.1
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
7071.0
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
6981.0
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
6971.3
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
6940.5
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
6847.9
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
6719.1
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
6708.2
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
6681.1
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
6638.1
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
6442.7
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
6404.9
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
6380.9
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
6221.6
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
6168.6
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
6092.2
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
6035.4
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
5903.0
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
5889.8
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
5851.2
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
5752.9
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
5688.7
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
5663.7
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
5640.9
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
5538.4
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
5529.5
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
5447.9
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
5443.5
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
5440.2
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
5372.5
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
5357.6
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
5351.4
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
5329.4
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
5248.6
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
5109.8
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
5068.1
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
5043.9
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
4967.1
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
4923.1
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
4904.4
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
4894.7
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
4865.8
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
4623.2
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
4611.7
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
4578.0
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
4558.3
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
4522.4
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
4522.1
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
4470.9
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
4419.8
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
4384.7
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
4368.1
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
4340.7
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
4324.7
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
4305.8
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
4288.8
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
4212.9
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
4203.7
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
4191.0
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
4183.5
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
4111.2
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
4078.6
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
4063.2
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
4037.8
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
4019.7
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
3988.2
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
3987.9
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
3965.2
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
3960.8
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
3954.3
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
3928.7
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
3888.1
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
3874.5
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
3819.2
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
3805.6
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
3788.2
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
3745.3
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
3721.0
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
3682.0
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
3654.9
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
3549.5
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
3528.5
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
3476.5
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
3475.1
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
3458.9
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
3446.7
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
3439.5
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
3350.0
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
3338.4
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
3333.8
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
3328.2
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
3300.5
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
3295.3
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
3293.9
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
3264.9
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
3194.4
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
3178.4
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
3165.5
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
3160.3
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
3114.1
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
3101.5
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
3095.9
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
3062.9
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
3055.4
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
3054.4
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
3054.3
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
3050.0
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
3030.3
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
3024.4
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
3007.1
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
3005.1
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
2974.0
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
2939.9
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
2929.0
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
2922.8
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
2922.8
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
2922.2
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
2912.5
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
2893.4
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
2890.8
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
2882.9
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
2875.9
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
2866.5
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
2834.3
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
2819.0
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
2793.8
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
2768.3
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
2766.0
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
2759.2
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
2741.3
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
2729.5
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
2718.2
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
2713.9
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
2700.6
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
2691.2
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
2687.3
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
2671.2
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
2663.3
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
2661.8
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
2657.5
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
2610.6
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
2599.7
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
2574.8
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
2568.4
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
2561.0
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
2557.8
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
2537.0
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
2503.4
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
2503.3
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
2499.7
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
2491.6
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
2489.9
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
2483.3
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
2481.7
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
2471.9
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
2464.8
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
2456.1
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
2435.2
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
2430.0
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
2428.7
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
2366.7
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
2360.0
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
2350.7
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
2335.9
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
2334.4
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
2326.0
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
2322.9
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
2321.8
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
2289.9
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
2280.0
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
2262.8
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
2242.7
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
2201.1
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
2199.8
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
2179.0
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
2143.9
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
2129.7
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
2124.7
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
2119.4
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
2092.2
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
2070.0
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
2061.2
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
2043.7
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
2025.3
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
2019.4
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
2014.2
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
2007.9
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
1985.8
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
1981.3
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
1974.2
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
1971.5
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
1968.7
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
1966.3
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
1965.6
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
1958.9
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
1896.6
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
1892.3
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
1872.2
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
1850.1
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
1847.7
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
1840.5
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
1837.2
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
1825.3
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
1823.5
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
1792.0
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
1772.6
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
1738.1
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
1734.9
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
1721.8
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
1720.0
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
1709.2
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
1692.3
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
1676.7
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
1676.0
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
1664.5
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
1660.2
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
1653.3
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
1615.5
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
1600.4
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
1590.3
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
1581.5
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
1576.9
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
1561.3
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
1515.9
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
1509.3
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
1491.9
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
1481.4
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
1475.6
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
1455.6
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
1443.1
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
1442.0
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
1418.4
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
1417.8
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
1416.3
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
1400.4
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
1375.6
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
1371.6
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
1350.9
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
1346.5
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
1338.8
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
1326.5
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
1324.9
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
1319.3
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
1312.8
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
1281.3
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
1277.5
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
1259.7
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
1239.6
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
1237.8
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
1224.5
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
1216.3
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
1208.6
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
1192.7
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
1176.4
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
1170.3
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
1153.2
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
1132.3
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
1128.8
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
1121.1
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
1101.7
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
1093.5
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
1089.1
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
1059.9
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
1053.7
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
1033.0
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
1032.9
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
999.8
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
993.3
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
991.0
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
983.2
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
982.7
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
971.3
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
930.5
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
923.8
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
904.9
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
903.0
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
884.7
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
861.2
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
846.0
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
837.2
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
820.5
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
817.8
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
801.4
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
782.7
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
680.4
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
676.3
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
656.3
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
639.8
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
635.8
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
626.0
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
561.3
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
531.8
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
504.9
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
500.1
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
484.9
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
446.8
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
435.8
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
411.1
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
401.5
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
366.6
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
366.3
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
361.1
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
358.1
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
353.0
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
344.9
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
280.0
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
258.1
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
197.8
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
189.7
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
165.6
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
103.5
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
57.9
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
45.3
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 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.
WFDC2 is not prognostic in Ovary Serous Cystadenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 2.2
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.28
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.
13%
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.
28%
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
2392.0
Number of samples
81
Samples
Sample
Description
TPM
DO46404
55 years, female, NA, stage:III, dead, 690 days
9732.0
DO46356
68 years, female, NA, stage:III, dead, 911 days
8635.0
DO46576
75 years, female, NA, stage:III, alive, 133 days
8496.7
DO46463
49 years, female, NA, stage:III, dead, 2451 days
8027.9
DO46591
58 years, female, NA, stage:III, dead, 195 days
7275.0
DO46390
65 years, female, NA, stage:III, dead, 374 days
6736.7
DO46329
52 years, female, NA, stage:III, dead, 1699 days
4980.2
DO46468
67 years, female, NA, stage:III, alive, 2776 days
4970.7
DO46331
72 years, female, NA, stage:III, dead, 612 days
3992.8
DO46350
66 years, female, NA, stage:III, dead, 886 days
3958.0
DO46338
59 years, female, NA, stage:III, dead, 596 days
3641.9
DO46333
58 years, female, NA, stage:III, dead, 359 days
3628.3
DO46376
58 years, female, NA, stage:III, dead, 1430 days
3533.8
DO46358
60 years, female, NA, stage:III, dead, 423 days
3394.2
DO46344
46 years, female, NA, stage:III, dead, 642 days
3321.8
DO46330
60 years, female, NA, stage:III, dead, 684 days
3291.6
DO46493
62 years, female, NA, stage:IV, alive, 839 days
3262.2
DO46586
55 years, female, NA, stage:III, dead, 1019 days
3193.8
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
3157.1
DO46362
61 years, female, NA, stage:III, dead, 1639 days
2888.6
DO46374
69 years, female, NA, stage:III, dead, 1409 days
2888.0
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
2805.4
DO46382
62 years, female, NA, stage:IV, dead, 311 days
2748.2
DO46408
56 years, female, NA, stage:III, dead, 489 days
2715.7
DO46538
57 years, female, NA, stage:III, dead, 1527 days
2651.6
DO46364
45 years, female, NA, stage:III, dead, 806 days
2595.7
DO46348
58 years, female, NA, stage:IV, dead, 287 days
2552.9
DO46611
52 years, female, NA, stage:III, dead, 734 days
2440.0
DO46342
67 years, female, NA, stage:III, dead, 1398 days
2429.5
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
2370.0
DO46432
56 years, female, NA, stage:III, alive, 2218 days
2335.4
DO46366
65 years, female, NA, stage:III, dead, 2054 days
2195.3
DO46436
58 years, female, NA, stage:III, alive, 3193 days
2188.6
DO46400
70 years, female, NA, stage:III, dead, 719 days
2113.7
DO46566
78 years, female, NA, stage:III, dead, 673 days
2105.8
DO46581
66 years, female, NA, stage:III, dead, 408 days
2103.0
DO46402
77 years, female, NA, stage:III, dead, 511 days
2051.9
DO46533
46 years, female, NA, stage:III, alive, 3667 days
2024.9
DO46328
52 years, female, NA, stage:III, dead, 972 days
2001.4
DO46560
45 years, female, NA, stage:IV, dead, 286 days
1984.4
DO46597
60 years, female, NA, stage:III, dead, 393 days
1900.1
DO46546
73 years, female, NA, stage:III, dead, 1889 days
1897.6
DO46448
45 years, female, NA, stage:III, dead, 654 days
1873.6
DO46368
57 years, female, NA, stage:III, dead, 2879 days
1831.5
DO46352
60 years, female, NA, stage:III, dead, 677 days
1824.8
DO46370
54 years, female, NA, stage:III, dead, 1727 days
1694.5
DO46346
54 years, female, NA, stage:III, dead, 1187 days
1675.5
DO46354
73 years, female, NA, stage:III, dead, 843 days
1568.3
DO46340
62 years, female, NA, stage:III, dead, 616 days
1543.6
DO46568
66 years, female, NA, stage:III, dead, 320 days
1535.0
DO46561
52 years, female, NA, stage:III, dead, 195 days
1508.6
DO46378
59 years, female, NA, stage:III, alive, 843 days
1493.6
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
1478.1
DO46606
73 years, female, NA, stage:III, alive, 804 days
1463.7
DO46325
54 years, female, NA, stage:III, dead, 477 days
1419.1
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
1329.0
DO46412
64 years, female, NA, stage:III, dead, 597 days
1316.2
DO46334
77 years, female, NA, stage:III, dead, 496 days
1309.2
DO46528
56 years, female, NA, stage:III, alive, 6139 days
1245.2
DO46386
49 years, female, NA, stage:III, dead, 1162 days
1211.1
DO46396
64 years, female, NA, stage:III, dead, 583 days
1196.0
DO46551
58 years, female, NA, stage:III, dead, 1055 days
1162.6
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
1079.6
DO46380
51 years, female, NA, stage:III, dead, 1423 days
1071.4
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
1038.5
DO46326
51 years, female, NA, stage:III, dead, 701 days
908.2
DO46508
50 years, female, NA, stage:III, dead, 2101 days
897.6
DO46336
70 years, female, NA, stage:IV, dead, 664 days
889.8
DO46388
74 years, female, NA, stage:III, dead, 413 days
882.0
DO46443
59 years, female, NA, stage:III, dead, 2464 days
837.8
DO46398
66 years, female, NA, stage:III, alive, 437 days
827.7
DO46372
39 years, female, NA, stage:III, dead, 1326 days
768.9
DO46332
56 years, female, NA, stage:III, dead, 689 days
759.7
DO46571
61 years, female, NA, stage:III, dead, 243 days
660.5
DO46588
74 years, female, NA, stage:III, dead, 438 days
473.3
DO46453
66 years, female, NA, stage:III, dead, 3294 days
421.5
DO46327
54 years, female, NA, stage:III, dead, 184 days
366.7
DO46392
48 years, female, NA, stage:III, dead, 628 days
341.1
DO46602
74 years, female, NA, stage:III, dead, 205 days
294.1
DO46518
62 years, female, NA, stage:III, alive, 2960 days
207.5
DO46384
55 years, female, NA, stage:III, dead, 614 days
130.2
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
2.7
161317f3-1a39-438e-af45-cd2502_D2
Tumor
2.6
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
2.5
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
2.3
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
2.1
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
2.0
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
2.0
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
1.9
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
1.7
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
1.7
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
1.6
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
1.5
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
1.5
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
1.4
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
1.4
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
1.4
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
1.4
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
1.3
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
1.3
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
1.2
2f901c90-617e-46da-9fac-d68369_D2
Tumor
1.2
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
1.2
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
1.1
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
1.1
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
1.0
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
1.0
340a3769-3031-41ae-bb08-a2f696_D2
Normal
0.9
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
0.9
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
0.8
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
0.8
a65d8e76-640f-4341-a561-afbb57_D2
Normal
0.8
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
0.8
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
0.6
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
0.6
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
0.5
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
0.5
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
0.4
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
0.4
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
0.4
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
0.3
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
0.3
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
0.3
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
0.3
15524912-685a-47ce-a824-567848_D2
Tumor
0.3
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
0.2
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
0.2
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
0.2
1772e913-f62e-446a-8cf3-720348_D2
Tumor
0.2
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
0.2
a3a26070-fb84-406a-8280-d555e6_D2
Normal
0.2
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
0.1
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
0.1
285fed94-1495-448e-879b-b55de9_D2
Tumor
0.1
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
0.0
1db5574d-aca7-403c-8100-6e705f_D2
Normal
0.0
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
0.0
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
-0.1
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
-0.2
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
-0.2
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-0.3
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
-0.3
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
-0.3
10c2d629-0287-4511-ac25-f29031_D2
Tumor
-0.3
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
-0.3
e9d416e7-f661-400a-896e-388545_D2
Tumor
-0.3
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
-0.3
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
-0.3
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
-0.3
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
-0.4
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
-0.4
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
-0.5
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
-0.6
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
-0.6
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
-0.6
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
-0.6
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
-0.6
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
-0.6
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
-0.7
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
-0.7
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
-0.7
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
-0.7
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
-0.7
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
-0.8
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
-0.8
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
-0.9
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
-1.1
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
-1.1
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
-1.3
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
-1.3
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
-1.3
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
-1.4
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
-1.4
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
-1.5
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
-1.6
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-1.7
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
-1.8
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-2.0
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
-2.0
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
-2.2
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
-4.4
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
N/A
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
N/A
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
N/A
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
N/A
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
N/A
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
N/A
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
N/A
1a10c200-3895-4648-b951-94f99f_D2
Tumor
N/A
Show allShow less
OVARIAN 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.