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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.
GAPDH 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.
0.12
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.
35%
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.
25%
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
4870.4
Number of samples
349
Samples
Sample
Description
TPM
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
15645.0
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
15429.4
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
13194.1
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
12609.4
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
12342.9
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
11848.2
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
11601.3
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
11150.8
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
10821.0
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
10347.0
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
10309.8
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
10035.7
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
10029.4
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
9941.3
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
9111.4
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
9102.8
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
9073.2
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
9023.1
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
8913.8
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
8908.1
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
8875.4
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
8869.9
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
8685.9
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
8564.5
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
8467.8
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
8351.9
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
8103.1
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
8090.4
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
7998.8
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
7825.1
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
7796.4
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
7795.8
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
7762.9
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
7751.8
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
7694.4
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
7577.9
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
7540.9
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
7515.9
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
7499.7
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
7432.7
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
7297.6
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
7244.0
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
7184.9
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
7180.7
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
7042.5
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
7011.4
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
6939.3
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
6938.1
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
6893.3
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
6886.2
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
6885.0
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
6840.1
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
6741.1
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
6737.3
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
6717.4
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
6717.0
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
6713.2
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
6699.5
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
6602.5
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
6486.3
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
6444.9
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
6394.5
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
6394.2
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
6360.0
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
6305.8
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
6276.9
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
6271.5
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
6176.1
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
6170.2
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
6156.0
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
6151.3
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
6142.3
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
6121.8
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
6121.8
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
6097.3
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
6092.6
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
6092.0
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
6091.1
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
6035.2
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
6003.5
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
5994.0
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
5968.4
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
5965.1
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
5951.0
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
5946.5
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
5924.7
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
5910.3
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
5890.2
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
5827.1
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
5811.3
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
5805.1
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
5803.8
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
5750.1
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
5748.4
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
5740.8
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
5731.8
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
5691.9
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
5615.7
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
5612.7
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
5596.0
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
5580.0
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
5576.8
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
5570.5
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
5545.5
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
5543.5
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
5532.0
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
5512.9
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
5508.0
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
5468.1
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
5467.2
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
5428.8
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
5428.1
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
5397.5
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
5390.6
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
5387.3
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
5385.0
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
5381.7
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
5342.6
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
5331.2
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
5318.3
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
5312.4
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
5240.3
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
5238.9
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
5217.7
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
5204.0
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
5201.9
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
5201.4
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
5201.2
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
5169.9
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
5165.4
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
5162.7
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
5158.3
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
5151.0
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
5130.0
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
5123.2
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
5101.2
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
5064.6
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
5064.0
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
5061.3
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
5026.4
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
5018.4
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
4992.4
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
4988.5
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
4952.4
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
4935.6
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
4929.4
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
4917.2
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
4884.4
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
4881.6
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
4855.1
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
4837.9
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
4817.5
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
4743.8
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
4735.4
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
4733.9
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
4719.2
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
4699.6
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
4697.7
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
4681.7
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
4666.6
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
4655.0
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
4652.8
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
4644.6
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
4625.5
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
4618.6
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
4618.5
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
4595.6
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
4575.7
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
4549.0
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
4547.0
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
4544.9
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
4539.3
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
4514.1
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
4499.4
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
4477.6
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
4466.3
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
4430.7
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
4420.7
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
4410.7
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
4398.9
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
4365.8
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
4361.5
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
4352.4
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
4347.7
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
4332.4
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
4326.2
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
4311.9
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
4299.2
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
4281.8
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
4275.7
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
4263.4
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
4250.8
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
4242.6
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
4234.8
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
4232.2
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
4207.1
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
4195.2
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
4166.3
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
4151.9
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
4137.9
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
4118.8
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
4115.2
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
4102.3
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
4100.5
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
4088.4
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
4081.7
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
4051.7
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
4041.5
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
4030.2
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
4010.5
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
4003.3
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
3993.1
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
3989.3
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
3980.6
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
3952.0
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
3936.4
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
3919.7
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
3915.7
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
3897.0
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
3880.0
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
3876.9
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
3868.9
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
3864.3
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
3811.5
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
3803.9
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
3774.7
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
3770.2
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
3767.5
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
3765.5
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
3765.2
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
3740.7
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
3736.5
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
3726.4
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
3721.0
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
3718.2
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
3703.5
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
3697.2
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
3694.6
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
3693.9
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
3680.1
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
3679.7
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
3676.7
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
3676.7
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
3653.9
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
3638.1
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
3634.4
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
3626.7
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
3618.6
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
3612.2
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
3610.3
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
3576.7
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
3563.1
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
3561.8
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
3550.3
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
3532.8
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
3528.0
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
3476.3
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
3448.6
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
3436.5
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
3423.8
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
3407.3
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
3405.2
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
3390.4
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
3385.4
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
3376.4
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
3375.9
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
3364.8
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
3354.0
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
3346.7
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
3326.9
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
3321.2
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
3302.5
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
3260.2
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
3246.7
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
3246.6
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
3182.9
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
3180.6
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
3150.8
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
3122.7
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
3083.9
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
3068.3
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
3043.8
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
3030.7
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
3012.9
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
2985.9
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
2985.8
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
2978.6
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
2963.7
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
2943.1
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
2918.1
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
2911.4
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
2889.4
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
2884.4
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
2853.6
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
2822.1
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
2793.7
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
2786.8
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
2755.0
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
2729.9
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
2728.9
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
2728.8
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
2692.7
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
2685.1
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
2682.8
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
2677.3
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
2670.2
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
2667.6
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
2662.6
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
2648.8
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
2638.6
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
2634.0
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
2617.7
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
2608.4
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
2573.5
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
2564.5
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
2530.6
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
2525.9
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
2505.0
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
2405.7
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
2364.6
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
2324.8
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
2313.1
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
2272.0
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
2270.5
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
2224.2
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
2165.8
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
2124.2
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
2104.2
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
2096.5
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
2071.7
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
2010.8
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
2008.5
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
1998.8
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
1972.8
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
1972.3
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
1968.7
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
1945.3
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
1856.4
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
1777.8
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
1643.8
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
1616.2
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
1607.0
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
1588.9
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
1523.5
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
1513.9
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
1461.1
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
1443.5
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
1238.2
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 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.
GAPDH 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.
0.088
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.
29%
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.
8%
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
3774.9
Number of samples
81
Samples
Sample
Description
TPM
DO46538
57 years, female, NA, stage:III, dead, 1527 days
16958.5
DO46338
59 years, female, NA, stage:III, dead, 596 days
7830.6
DO46453
66 years, female, NA, stage:III, dead, 3294 days
7597.2
DO46448
45 years, female, NA, stage:III, dead, 654 days
7549.2
DO46331
72 years, female, NA, stage:III, dead, 612 days
7271.3
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
6817.3
DO46362
61 years, female, NA, stage:III, dead, 1639 days
6677.0
DO46533
46 years, female, NA, stage:III, alive, 3667 days
6004.9
DO46468
67 years, female, NA, stage:III, alive, 2776 days
5939.1
DO46370
54 years, female, NA, stage:III, dead, 1727 days
5594.2
DO46352
60 years, female, NA, stage:III, dead, 677 days
5376.4
DO46356
68 years, female, NA, stage:III, dead, 911 days
5341.0
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
4962.6
DO46376
58 years, female, NA, stage:III, dead, 1430 days
4949.4
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
4867.0
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
4847.6
DO46358
60 years, female, NA, stage:III, dead, 423 days
4772.4
DO46408
56 years, female, NA, stage:III, dead, 489 days
4669.5
DO46348
58 years, female, NA, stage:IV, dead, 287 days
4503.1
DO46342
67 years, female, NA, stage:III, dead, 1398 days
4437.6
DO46354
73 years, female, NA, stage:III, dead, 843 days
4300.5
DO46380
51 years, female, NA, stage:III, dead, 1423 days
4217.8
DO46586
55 years, female, NA, stage:III, dead, 1019 days
4130.2
DO46546
73 years, female, NA, stage:III, dead, 1889 days
4128.8
DO46332
56 years, female, NA, stage:III, dead, 689 days
4105.7
DO46581
66 years, female, NA, stage:III, dead, 408 days
3940.5
DO46436
58 years, female, NA, stage:III, alive, 3193 days
3936.6
DO46334
77 years, female, NA, stage:III, dead, 496 days
3784.8
DO46378
59 years, female, NA, stage:III, alive, 843 days
3776.1
DO46374
69 years, female, NA, stage:III, dead, 1409 days
3773.5
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
3760.7
DO46400
70 years, female, NA, stage:III, dead, 719 days
3711.7
DO46327
54 years, female, NA, stage:III, dead, 184 days
3691.4
DO46402
77 years, female, NA, stage:III, dead, 511 days
3621.8
DO46493
62 years, female, NA, stage:IV, alive, 839 days
3617.1
DO46388
74 years, female, NA, stage:III, dead, 413 days
3535.5
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
3517.2
DO46597
60 years, female, NA, stage:III, dead, 393 days
3478.3
DO46591
58 years, female, NA, stage:III, dead, 195 days
3435.5
DO46333
58 years, female, NA, stage:III, dead, 359 days
3313.0
DO46396
64 years, female, NA, stage:III, dead, 583 days
3277.8
DO46463
49 years, female, NA, stage:III, dead, 2451 days
3258.2
DO46508
50 years, female, NA, stage:III, dead, 2101 days
3185.7
DO46588
74 years, female, NA, stage:III, dead, 438 days
3145.9
DO46443
59 years, female, NA, stage:III, dead, 2464 days
3074.0
DO46518
62 years, female, NA, stage:III, alive, 2960 days
3069.6
DO46346
54 years, female, NA, stage:III, dead, 1187 days
3062.7
DO46350
66 years, female, NA, stage:III, dead, 886 days
3058.1
DO46392
48 years, female, NA, stage:III, dead, 628 days
3027.2
DO46366
65 years, female, NA, stage:III, dead, 2054 days
2988.1
DO46368
57 years, female, NA, stage:III, dead, 2879 days
2940.0
DO46364
45 years, female, NA, stage:III, dead, 806 days
2935.4
DO46568
66 years, female, NA, stage:III, dead, 320 days
2847.3
DO46336
70 years, female, NA, stage:IV, dead, 664 days
2835.8
DO46561
52 years, female, NA, stage:III, dead, 195 days
2764.5
DO46329
52 years, female, NA, stage:III, dead, 1699 days
2656.1
DO46404
55 years, female, NA, stage:III, dead, 690 days
2653.5
DO46566
78 years, female, NA, stage:III, dead, 673 days
2620.0
DO46390
65 years, female, NA, stage:III, dead, 374 days
2617.2
DO46326
51 years, female, NA, stage:III, dead, 701 days
2592.3
DO46398
66 years, female, NA, stage:III, alive, 437 days
2559.2
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
2558.3
DO46344
46 years, female, NA, stage:III, dead, 642 days
2524.6
DO46432
56 years, female, NA, stage:III, alive, 2218 days
2518.6
DO46382
62 years, female, NA, stage:IV, dead, 311 days
2499.8
DO46325
54 years, female, NA, stage:III, dead, 477 days
2471.1
DO46372
39 years, female, NA, stage:III, dead, 1326 days
2400.8
DO46412
64 years, female, NA, stage:III, dead, 597 days
2394.6
DO46602
74 years, female, NA, stage:III, dead, 205 days
2362.2
DO46384
55 years, female, NA, stage:III, dead, 614 days
2290.2
DO46386
49 years, female, NA, stage:III, dead, 1162 days
2264.7
DO46560
45 years, female, NA, stage:IV, dead, 286 days
2107.5
DO46328
52 years, female, NA, stage:III, dead, 972 days
2090.8
DO46340
62 years, female, NA, stage:III, dead, 616 days
2066.6
DO46551
58 years, female, NA, stage:III, dead, 1055 days
2006.9
DO46576
75 years, female, NA, stage:III, alive, 133 days
1885.6
DO46330
60 years, female, NA, stage:III, dead, 684 days
1879.9
DO46571
61 years, female, NA, stage:III, dead, 243 days
1632.6
DO46528
56 years, female, NA, stage:III, alive, 6139 days
1603.3
DO46606
73 years, female, NA, stage:III, alive, 804 days
1241.6
DO46611
52 years, female, NA, stage:III, dead, 734 days
1058.7
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
1.6
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
1.2
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
1.2
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
1.0
2f901c90-617e-46da-9fac-d68369_D2
Tumor
0.9
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
0.9
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
0.9
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
0.9
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
0.8
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
0.8
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
0.8
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
0.8
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
0.8
1772e913-f62e-446a-8cf3-720348_D2
Tumor
0.7
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
0.7
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
0.7
161317f3-1a39-438e-af45-cd2502_D2
Tumor
0.7
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
0.6
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
0.6
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
0.5
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
0.5
15524912-685a-47ce-a824-567848_D2
Tumor
0.5
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
0.5
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
0.4
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
0.4
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
0.4
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
0.4
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
0.4
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
0.4
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
0.4
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
0.3
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
0.3
e9d416e7-f661-400a-896e-388545_D2
Tumor
0.3
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
0.3
340a3769-3031-41ae-bb08-a2f696_D2
Normal
0.3
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
0.3
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
0.3
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
0.2
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
0.2
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
0.2
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
0.2
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
0.2
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
0.2
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
0.2
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
0.2
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
0.1
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
0.1
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
0.1
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
0.1
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
0.1
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
0.1
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
0.1
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
0.1
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
0.1
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
0.0
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
0.0
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
0.0
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
0.0
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
0.0
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
0.0
a3a26070-fb84-406a-8280-d555e6_D2
Normal
0.0
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
0.0
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
0.0
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
0.0
285fed94-1495-448e-879b-b55de9_D2
Tumor
0.0
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
-0.1
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
-0.1
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
-0.1
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
-0.1
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
-0.1
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
-0.1
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
-0.1
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
-0.1
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
-0.1
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
-0.1
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
-0.1
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
-0.1
a65d8e76-640f-4341-a561-afbb57_D2
Normal
-0.1
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
-0.1
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
-0.2
1a10c200-3895-4648-b951-94f99f_D2
Tumor
-0.2
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
-0.2
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
-0.2
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
-0.2
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
-0.2
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
-0.2
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
-0.2
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
-0.2
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
-0.2
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
-0.2
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
-0.3
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-0.3
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
-0.3
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
-0.3
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
-0.3
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-0.3
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
-0.3
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-0.4
10c2d629-0287-4511-ac25-f29031_D2
Tumor
-0.4
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
-0.4
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
-0.4
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
-0.4
1db5574d-aca7-403c-8100-6e705f_D2
Normal
-0.4
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
-0.4
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
-0.4
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
-0.4
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
-0.4
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
-0.6
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.