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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.
: 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
4331.7
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
26298.1
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
25109.7
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
20322.6
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
19480.3
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
18925.7
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
18473.0
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
16598.6
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
15376.8
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
14562.2
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
14214.6
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
13592.6
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
13075.0
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
12960.4
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
12711.8
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
12518.0
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
12167.5
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
12155.0
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
12038.7
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
11663.7
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
11452.6
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
11166.5
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
10871.5
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
10727.5
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
10600.2
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
10397.7
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
10381.0
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
10298.3
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
9960.9
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
9902.4
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
9780.4
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
9768.5
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
9450.4
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
9362.7
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
9349.3
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
9261.5
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
9228.6
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
9016.4
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
8892.0
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
8841.6
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
8537.6
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
8456.6
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
8405.3
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
8162.7
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
8121.4
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
8091.3
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
7786.6
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
7699.5
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
7610.8
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
7574.8
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
7461.7
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
7424.0
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
7369.7
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
7349.3
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
7267.0
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
7214.8
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
7175.7
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
7108.3
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
6890.7
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
6866.7
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
6854.5
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
6823.7
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
6774.7
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
6728.9
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
6715.1
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
6589.8
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
6512.2
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
6456.0
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
6442.5
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
6351.8
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
6304.6
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
6288.3
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
6286.9
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
6227.9
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
6079.4
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
6064.4
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
5924.6
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
5897.9
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
5743.8
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
5646.5
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
5632.0
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
5628.0
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
5615.1
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
5599.7
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
5586.7
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
5552.0
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
5551.5
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
5493.7
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
5378.6
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
5376.2
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
5365.0
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
5350.6
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
5317.9
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
5292.8
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
5238.9
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
5208.7
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
5183.8
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
5140.2
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
5072.5
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
5033.8
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
5026.4
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
4953.8
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
4937.0
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
4933.3
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
4922.9
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
4917.6
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
4879.6
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
4870.3
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
4788.3
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
4777.0
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
4744.8
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
4737.4
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
4722.1
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
4609.4
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
4597.1
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
4519.9
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
4517.1
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
4515.4
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
4509.0
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
4437.6
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
4360.6
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
4345.2
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
4293.2
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
4254.7
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
4244.2
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
4237.0
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
4224.9
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
4216.9
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
4178.0
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
4145.2
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
4019.8
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
4007.1
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
3999.2
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
3994.4
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
3986.4
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
3966.6
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
3965.9
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
3951.1
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
3947.6
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
3893.1
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
3891.8
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
3835.7
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
3809.4
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
3778.9
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
3753.5
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
3750.2
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
3748.0
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
3720.4
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
3695.6
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
3656.0
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
3654.7
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
3633.2
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
3619.3
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
3595.5
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
3591.2
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
3587.2
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
3582.1
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
3555.4
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
3547.0
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
3513.4
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
3511.4
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
3481.2
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
3480.8
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
3474.9
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
3450.6
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
3441.7
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
3424.8
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
3423.4
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
3352.5
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
3340.0
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
3339.9
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
3334.9
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
3328.4
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
3320.2
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
3319.7
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
3302.9
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
3272.7
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
3271.4
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
3267.5
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
3243.9
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
3198.9
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
3196.7
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
3174.9
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
3161.0
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
3156.7
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
3148.8
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
3148.1
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
3133.4
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
3126.3
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
3095.9
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
3080.9
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
3076.2
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
3019.2
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
2993.5
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
2969.1
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
2963.7
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
2961.6
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
2958.2
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
2901.2
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
2887.8
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
2876.9
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
2874.0
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
2866.0
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
2850.5
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
2830.9
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
2830.1
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
2804.4
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
2802.7
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
2802.4
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
2754.7
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
2730.7
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
2679.4
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
2669.5
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
2653.2
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
2648.9
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
2637.0
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
2615.0
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
2579.5
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
2555.4
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
2547.6
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
2518.2
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
2499.5
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
2485.3
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
2450.4
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
2448.5
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
2447.0
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
2438.4
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
2427.1
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
2394.5
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
2391.0
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
2371.8
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
2352.9
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
2350.7
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
2338.1
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
2322.6
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
2321.7
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
2279.4
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
2270.6
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
2261.8
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
2236.4
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
2212.7
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
2212.5
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
2180.3
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
2178.9
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
2166.2
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
2160.9
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
2149.4
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
2142.0
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
2120.8
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
2112.5
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
2096.4
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
2060.7
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
2019.5
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
2000.9
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
1986.4
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
1972.1
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
1950.8
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
1909.2
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
1908.3
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
1904.4
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
1899.8
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
1889.8
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
1870.2
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
1836.9
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
1820.7
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
1814.7
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
1800.7
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
1798.7
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
1756.4
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
1740.6
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
1725.4
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
1705.6
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
1688.0
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
1678.8
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
1655.1
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
1632.6
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
1597.5
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
1593.8
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
1587.9
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
1579.7
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
1576.7
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
1566.3
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
1559.8
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
1557.3
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
1545.8
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
1491.3
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
1488.0
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
1485.5
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
1460.0
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
1426.0
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
1419.8
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
1416.8
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
1408.7
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
1393.2
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
1391.1
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
1376.8
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
1346.8
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
1332.1
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
1317.2
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
1304.3
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
1303.9
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
1286.6
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
1260.6
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
1256.5
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
1240.3
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
1202.1
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
1197.8
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
1196.8
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
1179.6
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
1177.6
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
1153.8
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
1096.6
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
1080.5
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
1075.7
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
1060.7
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
1051.2
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
1030.7
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
1009.4
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
968.6
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
958.8
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
827.2
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
822.9
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
815.8
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
782.8
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
778.2
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
757.7
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
687.4
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
636.2
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
613.5
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
597.1
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
591.5
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
584.2
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
540.1
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
534.7
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
533.5
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
494.4
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
490.9
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
476.4
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
454.8
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
439.9
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
430.9
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
362.8
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
325.4
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
239.4
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
235.8
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
195.8
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
126.4
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
71.9
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
55.2
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.
: 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
2487.2
Number of samples
81
Samples
Sample
Description
pTPM
DO46404
55 years, female, NA, stage:III, dead, 690 days
12634.2
DO46463
49 years, female, NA, stage:III, dead, 2451 days
9228.2
DO46356
68 years, female, NA, stage:III, dead, 911 days
8551.8
DO46390
65 years, female, NA, stage:III, dead, 374 days
7224.1
DO46576
75 years, female, NA, stage:III, alive, 133 days
6918.9
DO46591
58 years, female, NA, stage:III, dead, 195 days
6005.4
DO46329
52 years, female, NA, stage:III, dead, 1699 days
5375.2
DO46468
67 years, female, NA, stage:III, alive, 2776 days
4682.5
DO46338
59 years, female, NA, stage:III, dead, 596 days
4672.5
DO46330
60 years, female, NA, stage:III, dead, 684 days
4138.8
DO46362
61 years, female, NA, stage:III, dead, 1639 days
4073.2
DO46586
55 years, female, NA, stage:III, dead, 1019 days
3754.5
DO46344
46 years, female, NA, stage:III, dead, 642 days
3706.1
DO46331
72 years, female, NA, stage:III, dead, 612 days
3678.5
DO46376
58 years, female, NA, stage:III, dead, 1430 days
3624.1
DO46382
62 years, female, NA, stage:IV, dead, 311 days
3600.7
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
3393.6
DO46408
56 years, female, NA, stage:III, dead, 489 days
3344.9
DO46333
58 years, female, NA, stage:III, dead, 359 days
3275.1
DO46348
58 years, female, NA, stage:IV, dead, 287 days
3244.5
DO46358
60 years, female, NA, stage:III, dead, 423 days
3180.8
DO46538
57 years, female, NA, stage:III, dead, 1527 days
3168.5
DO46350
66 years, female, NA, stage:III, dead, 886 days
2915.6
DO46364
45 years, female, NA, stage:III, dead, 806 days
2888.2
DO46533
46 years, female, NA, stage:III, alive, 3667 days
2868.8
DO46611
52 years, female, NA, stage:III, dead, 734 days
2838.2
DO46493
62 years, female, NA, stage:IV, alive, 839 days
2759.6
DO46328
52 years, female, NA, stage:III, dead, 972 days
2573.5
DO46566
78 years, female, NA, stage:III, dead, 673 days
2560.8
DO46400
70 years, female, NA, stage:III, dead, 719 days
2373.7
DO46374
69 years, female, NA, stage:III, dead, 1409 days
2277.8
DO46597
60 years, female, NA, stage:III, dead, 393 days
2233.1
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
2212.6
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
2172.4
DO46560
45 years, female, NA, stage:IV, dead, 286 days
2157.3
DO46581
66 years, female, NA, stage:III, dead, 408 days
2103.4
DO46346
54 years, female, NA, stage:III, dead, 1187 days
2048.7
DO46370
54 years, female, NA, stage:III, dead, 1727 days
1987.8
DO46448
45 years, female, NA, stage:III, dead, 654 days
1956.4
DO46606
73 years, female, NA, stage:III, alive, 804 days
1870.7
DO46568
66 years, female, NA, stage:III, dead, 320 days
1862.2
DO46402
77 years, female, NA, stage:III, dead, 511 days
1838.8
DO46561
52 years, female, NA, stage:III, dead, 195 days
1836.1
DO46342
67 years, female, NA, stage:III, dead, 1398 days
1834.9
DO46436
58 years, female, NA, stage:III, alive, 3193 days
1831.4
DO46432
56 years, female, NA, stage:III, alive, 2218 days
1826.9
DO46546
73 years, female, NA, stage:III, dead, 1889 days
1758.9
DO46354
73 years, female, NA, stage:III, dead, 843 days
1752.4
DO46340
62 years, female, NA, stage:III, dead, 616 days
1733.6
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
1577.7
DO46368
57 years, female, NA, stage:III, dead, 2879 days
1570.3
DO46378
59 years, female, NA, stage:III, alive, 843 days
1551.5
DO46334
77 years, female, NA, stage:III, dead, 496 days
1447.6
DO46366
65 years, female, NA, stage:III, dead, 2054 days
1424.4
DO46352
60 years, female, NA, stage:III, dead, 677 days
1422.6
DO46325
54 years, female, NA, stage:III, dead, 477 days
1415.2
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
1326.8
DO46551
58 years, female, NA, stage:III, dead, 1055 days
1258.1
DO46528
56 years, female, NA, stage:III, alive, 6139 days
1256.6
DO46396
64 years, female, NA, stage:III, dead, 583 days
1246.6
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
1186.7
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
1171.9
DO46326
51 years, female, NA, stage:III, dead, 701 days
1154.4
DO46508
50 years, female, NA, stage:III, dead, 2101 days
1112.0
DO46386
49 years, female, NA, stage:III, dead, 1162 days
1054.0
DO46443
59 years, female, NA, stage:III, dead, 2464 days
989.1
DO46412
64 years, female, NA, stage:III, dead, 597 days
958.3
DO46336
70 years, female, NA, stage:IV, dead, 664 days
875.9
DO46388
74 years, female, NA, stage:III, dead, 413 days
871.5
DO46380
51 years, female, NA, stage:III, dead, 1423 days
802.9
DO46332
56 years, female, NA, stage:III, dead, 689 days
792.4
DO46398
66 years, female, NA, stage:III, alive, 437 days
757.0
DO46571
61 years, female, NA, stage:III, dead, 243 days
673.3
DO46588
74 years, female, NA, stage:III, dead, 438 days
659.8
DO46372
39 years, female, NA, stage:III, dead, 1326 days
591.7
DO46327
54 years, female, NA, stage:III, dead, 184 days
437.5
DO46453
66 years, female, NA, stage:III, dead, 3294 days
341.4
DO46392
48 years, female, NA, stage:III, dead, 628 days
334.4
DO46602
74 years, female, NA, stage:III, dead, 205 days
266.5
DO46518
62 years, female, NA, stage:III, alive, 2960 days
245.9
DO46384
55 years, female, NA, stage:III, dead, 614 days
141.5
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.
The Human Protein Atlas project is funded
