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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.
FTL 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
4356.0
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
16231.3
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
12279.8
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
10761.3
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
10278.5
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
10208.8
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
8955.6
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
8825.4
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
8736.8
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
8729.8
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
8485.5
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
8473.5
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
8321.8
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
8150.6
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
8099.6
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
8054.4
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
8022.9
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
7989.9
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
7817.3
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
7812.7
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
7810.3
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
7755.6
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
7744.8
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
7721.9
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
7668.7
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
7514.4
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
7445.1
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
7280.0
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
7141.1
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
7046.9
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
7015.4
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
6893.6
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
6889.4
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
6878.9
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
6868.1
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
6836.9
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
6816.5
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
6772.2
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
6742.7
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
6740.7
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
6724.9
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
6679.2
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
6648.5
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
6637.0
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
6635.0
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
6553.2
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
6489.7
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
6475.7
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
6444.0
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
6413.3
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
6308.5
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
6258.9
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
6257.4
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
6245.9
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
6176.0
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
6156.5
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
6138.5
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
6121.1
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
6075.3
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
5931.4
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
5924.6
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
5892.5
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
5867.3
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
5825.3
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
5761.1
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
5738.7
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
5727.6
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
5685.5
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
5684.1
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
5661.5
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
5648.1
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
5643.3
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
5613.5
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
5605.4
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
5581.2
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
5572.4
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
5564.8
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
5553.6
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
5536.1
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
5535.0
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
5522.0
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
5518.0
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
5509.7
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
5457.4
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
5421.3
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
5414.2
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
5374.1
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
5310.1
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
5281.9
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
5281.7
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
5272.3
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
5244.2
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
5235.0
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
5226.9
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
5222.7
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
5215.9
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
5210.9
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
5162.3
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
5122.4
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
5093.2
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
5088.5
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
5044.9
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
5036.1
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
5014.7
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
5012.4
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
4977.4
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
4976.4
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
4946.4
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
4933.0
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
4918.1
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
4914.0
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
4908.2
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
4906.1
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
4904.8
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
4901.4
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
4888.6
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
4865.0
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
4836.2
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
4818.7
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
4809.5
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
4788.5
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
4728.6
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
4724.7
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
4699.0
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
4693.8
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
4685.9
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
4670.9
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
4664.8
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
4659.7
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
4651.7
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
4644.6
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
4629.2
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
4606.1
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
4604.9
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
4588.5
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
4584.8
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
4535.4
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
4492.9
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
4488.7
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
4487.6
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
4458.0
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
4444.6
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
4444.5
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
4437.2
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
4403.3
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
4400.8
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
4372.3
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
4367.9
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
4365.3
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
4358.4
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
4350.4
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
4335.2
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
4323.3
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
4304.5
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
4303.1
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
4293.2
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
4276.9
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
4243.8
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
4235.3
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
4210.7
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
4204.5
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
4198.3
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
4185.4
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
4184.1
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
4183.7
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
4155.7
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
4141.9
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
4119.7
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
4113.6
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
4089.7
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
4054.3
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
4052.4
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
4032.3
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
4019.7
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
4012.9
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
4012.5
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
4005.6
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
3997.1
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
3990.4
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
3981.9
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
3948.8
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
3937.2
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
3923.1
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
3918.0
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
3905.8
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
3896.5
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
3866.0
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
3855.7
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
3837.1
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
3836.8
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
3831.7
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
3831.3
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
3826.9
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
3800.1
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
3786.7
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
3756.4
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
3753.4
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
3749.1
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
3734.5
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
3723.2
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
3718.2
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
3715.6
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
3712.8
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
3712.7
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
3687.3
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
3681.3
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
3681.0
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
3679.2
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
3671.5
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
3640.0
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
3628.1
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
3620.9
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
3610.4
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
3601.3
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
3560.4
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
3555.7
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
3549.3
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
3534.2
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
3508.0
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
3473.5
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
3473.3
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
3461.8
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
3451.4
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
3449.2
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
3447.8
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
3441.7
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
3441.4
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
3415.9
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
3394.5
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
3376.2
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
3373.1
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
3318.1
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
3315.5
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
3313.5
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
3310.3
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
3297.5
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
3296.7
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
3294.8
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
3279.0
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
3258.6
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
3251.2
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
3249.7
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
3246.5
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
3238.5
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
3231.6
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
3230.8
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
3216.7
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
3208.0
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
3156.4
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
3155.5
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
3152.9
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
3151.2
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
3145.7
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
3116.3
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
3097.1
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
3085.9
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
3082.2
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
3060.6
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
3051.1
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
3047.8
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
3018.5
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
3015.5
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
3010.8
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
2993.7
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
2983.1
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
2973.9
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
2970.8
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
2929.8
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
2925.8
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
2917.1
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
2912.5
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
2904.3
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
2903.5
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
2886.6
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
2871.5
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
2868.7
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
2804.3
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
2798.6
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
2787.6
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
2779.6
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
2767.7
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
2765.6
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
2760.9
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
2754.3
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
2747.1
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
2741.8
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
2729.2
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
2727.5
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
2721.3
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
2715.4
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
2680.7
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
2657.7
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
2653.1
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
2643.9
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
2632.8
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
2630.7
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
2629.2
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
2628.7
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
2624.3
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
2602.2
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
2595.1
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
2593.4
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
2581.9
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
2548.0
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
2547.8
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
2529.2
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
2508.7
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
2486.0
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
2423.8
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
2367.0
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
2353.7
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
2348.3
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
2339.3
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
2298.8
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
2286.4
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
2274.8
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
2228.7
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
2213.1
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
2206.4
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
2185.0
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
2167.0
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
2160.6
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
2154.9
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
2097.6
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
2097.2
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
2092.2
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
2078.6
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
2057.8
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
2047.1
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
2035.3
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
1950.6
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
1839.9
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
1819.2
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
1793.7
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
1787.6
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
1784.7
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
1784.3
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
1775.2
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
1767.8
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
1750.6
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
1722.8
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
1706.1
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
1695.1
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
1571.4
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
1523.9
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
1468.6
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
1387.5
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
1249.1
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
1223.1
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 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.
FTL 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
2403.6
Number of samples
81
Samples
Sample
Description
pTPM
DO46348
58 years, female, NA, stage:IV, dead, 287 days
6490.2
DO46528
56 years, female, NA, stage:III, alive, 6139 days
5605.6
DO46400
70 years, female, NA, stage:III, dead, 719 days
5401.1
DO46354
73 years, female, NA, stage:III, dead, 843 days
4499.4
DO46376
58 years, female, NA, stage:III, dead, 1430 days
4434.4
DO46350
66 years, female, NA, stage:III, dead, 886 days
4393.0
DO46508
50 years, female, NA, stage:III, dead, 2101 days
4371.9
DO46538
57 years, female, NA, stage:III, dead, 1527 days
4343.5
DO46432
56 years, female, NA, stage:III, alive, 2218 days
3897.5
DO46329
52 years, female, NA, stage:III, dead, 1699 days
3805.6
DO46332
56 years, female, NA, stage:III, dead, 689 days
3733.9
DO46382
62 years, female, NA, stage:IV, dead, 311 days
3662.7
DO46566
78 years, female, NA, stage:III, dead, 673 days
3619.2
DO46327
54 years, female, NA, stage:III, dead, 184 days
3270.2
DO46463
49 years, female, NA, stage:III, dead, 2451 days
3138.0
DO46388
74 years, female, NA, stage:III, dead, 413 days
3132.7
DO46402
77 years, female, NA, stage:III, dead, 511 days
3092.4
DO46330
60 years, female, NA, stage:III, dead, 684 days
2969.0
DO46571
61 years, female, NA, stage:III, dead, 243 days
2892.1
DO46448
45 years, female, NA, stage:III, dead, 654 days
2883.3
DO46443
59 years, female, NA, stage:III, dead, 2464 days
2853.4
DO46333
58 years, female, NA, stage:III, dead, 359 days
2791.0
DO46374
69 years, female, NA, stage:III, dead, 1409 days
2783.6
DO46591
58 years, female, NA, stage:III, dead, 195 days
2772.4
DO46364
45 years, female, NA, stage:III, dead, 806 days
2696.1
DO46560
45 years, female, NA, stage:IV, dead, 286 days
2520.3
DO46362
61 years, female, NA, stage:III, dead, 1639 days
2518.3
DO46342
67 years, female, NA, stage:III, dead, 1398 days
2500.8
DO46561
52 years, female, NA, stage:III, dead, 195 days
2483.3
DO46370
54 years, female, NA, stage:III, dead, 1727 days
2442.0
DO46340
62 years, female, NA, stage:III, dead, 616 days
2425.9
DO46386
49 years, female, NA, stage:III, dead, 1162 days
2339.8
DO46334
77 years, female, NA, stage:III, dead, 496 days
2290.7
DO46384
55 years, female, NA, stage:III, dead, 614 days
2255.7
DO46568
66 years, female, NA, stage:III, dead, 320 days
2253.1
DO46346
54 years, female, NA, stage:III, dead, 1187 days
2244.0
DO46606
73 years, female, NA, stage:III, alive, 804 days
2234.8
DO46602
74 years, female, NA, stage:III, dead, 205 days
2190.7
DO46352
60 years, female, NA, stage:III, dead, 677 days
2128.9
DO46372
39 years, female, NA, stage:III, dead, 1326 days
2089.1
DO46326
51 years, female, NA, stage:III, dead, 701 days
2078.8
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
2074.3
DO46398
66 years, female, NA, stage:III, alive, 437 days
2057.1
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
2019.3
DO46368
57 years, female, NA, stage:III, dead, 2879 days
2013.1
DO46588
74 years, female, NA, stage:III, dead, 438 days
2012.0
DO46493
62 years, female, NA, stage:IV, alive, 839 days
2008.8
DO46436
58 years, female, NA, stage:III, alive, 3193 days
1988.6
DO46392
48 years, female, NA, stage:III, dead, 628 days
1952.7
DO46344
46 years, female, NA, stage:III, dead, 642 days
1950.7
DO46576
75 years, female, NA, stage:III, alive, 133 days
1950.0
DO46358
60 years, female, NA, stage:III, dead, 423 days
1922.7
DO46453
66 years, female, NA, stage:III, dead, 3294 days
1912.5
DO46336
70 years, female, NA, stage:IV, dead, 664 days
1906.4
DO46597
60 years, female, NA, stage:III, dead, 393 days
1876.9
DO46586
55 years, female, NA, stage:III, dead, 1019 days
1875.8
DO46412
64 years, female, NA, stage:III, dead, 597 days
1839.1
DO46378
59 years, female, NA, stage:III, alive, 843 days
1833.3
DO46408
56 years, female, NA, stage:III, dead, 489 days
1797.9
DO46380
51 years, female, NA, stage:III, dead, 1423 days
1711.5
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
1695.0
DO46533
46 years, female, NA, stage:III, alive, 3667 days
1687.0
DO46468
67 years, female, NA, stage:III, alive, 2776 days
1633.6
DO46581
66 years, female, NA, stage:III, dead, 408 days
1629.9
DO46356
68 years, female, NA, stage:III, dead, 911 days
1596.0
DO46338
59 years, female, NA, stage:III, dead, 596 days
1570.1
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
1457.0
DO46366
65 years, female, NA, stage:III, dead, 2054 days
1406.7
DO46518
62 years, female, NA, stage:III, alive, 2960 days
1367.2
DO46328
52 years, female, NA, stage:III, dead, 972 days
1346.4
DO46390
65 years, female, NA, stage:III, dead, 374 days
1335.5
DO46404
55 years, female, NA, stage:III, dead, 690 days
1295.0
DO46611
52 years, female, NA, stage:III, dead, 734 days
1269.5
DO46331
72 years, female, NA, stage:III, dead, 612 days
1208.1
DO46546
73 years, female, NA, stage:III, dead, 1889 days
1196.0
DO46551
58 years, female, NA, stage:III, dead, 1055 days
1117.0
DO46325
54 years, female, NA, stage:III, dead, 477 days
1111.8
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
969.2
DO46396
64 years, female, NA, stage:III, dead, 583 days
919.8
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
892.9
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
760.7
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
2.5
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
2.1
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
1.9
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
1.8
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
1.8
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
1.7
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
1.7
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
1.6
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
1.5
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
1.5
21efd60f-6a31-4b98-9477-16a905_D2
Normal
1.4
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
1.4
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
1.4
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
1.4
15524912-685a-47ce-a824-567848_D2
Tumor
1.4
285fed94-1495-448e-879b-b55de9_D2
Tumor
1.3
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
1.3
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
1.2
e9d416e7-f661-400a-896e-388545_D2
Tumor
1.2
2f901c90-617e-46da-9fac-d68369_D2
Tumor
1.2
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
1.2
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
1.2
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
1.2
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
1.2
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
1.1
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
1.1
1db5574d-aca7-403c-8100-6e705f_D2
Normal
1.1
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
1.1
a3a26070-fb84-406a-8280-d555e6_D2
Normal
1.1
161317f3-1a39-438e-af45-cd2502_D2
Tumor
1.0
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
1.0
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
1.0
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
1.0
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
1.0
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
0.9
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
0.9
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
0.8
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
0.8
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
0.8
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
0.8
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
0.8
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
0.7
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
0.7
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
0.7
a65d8e76-640f-4341-a561-afbb57_D2
Normal
0.7
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
0.6
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
0.6
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
0.6
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
0.6
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
0.6
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
0.6
1772e913-f62e-446a-8cf3-720348_D2
Tumor
0.5
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
0.5
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
0.5
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
0.5
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
0.5
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
0.5
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
0.5
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
0.5
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
0.4
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
0.4
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
0.4
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
0.4
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
0.4
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
0.4
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
0.4
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
0.3
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
0.3
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
0.3
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
0.2
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
0.2
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
0.2
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
0.2
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
0.2
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
0.2
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
0.2
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
0.2
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
0.1
1a10c200-3895-4648-b951-94f99f_D2
Tumor
0.1
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
0.1
340a3769-3031-41ae-bb08-a2f696_D2
Normal
0.1
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
0.1
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
0.0
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
0.0
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
0.0
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
0.0
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
0.0
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
0.0
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
-0.1
10c2d629-0287-4511-ac25-f29031_D2
Tumor
-0.1
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
-0.2
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
-0.2
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
-0.2
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
-0.2
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
-0.2
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-0.2
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
-0.3
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
-0.3
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
-0.3
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
-0.3
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
-0.4
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
-0.5
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
-0.6
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
-0.6
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
-0.7
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
-0.7
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
-0.8
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
-0.9
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
