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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 TPM
3504.2
Number of samples
349
Samples
Sample
Description
TPM
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
13299.8
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
10099.0
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
8644.9
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
7551.1
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
7541.1
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
7305.1
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
7117.4
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
7072.1
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
6863.3
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
6848.4
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
6763.2
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
6761.3
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
6628.5
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
6612.2
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
6604.9
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
6588.2
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
6550.6
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
6495.1
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
6424.6
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
6311.8
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
6280.9
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
6141.6
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
6088.5
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
6061.9
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
6017.6
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
5968.9
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
5905.2
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
5791.8
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
5756.8
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
5755.2
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
5720.9
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
5692.5
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
5692.5
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
5655.8
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
5640.7
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
5623.3
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
5592.4
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
5577.1
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
5562.6
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
5511.6
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
5502.1
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
5472.1
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
5421.3
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
5378.1
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
5370.0
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
5235.8
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
5216.0
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
5161.5
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
5138.0
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
5124.0
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
4976.3
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
4961.9
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
4959.8
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
4876.0
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
4822.3
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
4797.5
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
4776.5
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
4722.3
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
4721.7
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
4704.5
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
4688.4
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
4687.7
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
4674.4
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
4674.3
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
4659.3
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
4659.2
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
4655.1
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
4650.4
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
4633.2
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
4622.4
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
4613.8
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
4610.0
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
4603.6
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
4596.5
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
4524.2
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
4520.4
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
4492.3
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
4483.5
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
4479.7
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
4478.7
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
4474.6
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
4448.9
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
4428.7
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
4394.9
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
4393.9
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
4356.2
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
4307.6
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
4306.3
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
4293.0
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
4271.9
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
4224.1
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
4219.5
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
4184.6
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
4170.1
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
4150.8
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
4135.1
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
4134.0
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
4084.0
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
4068.0
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
4045.0
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
4038.6
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
4026.6
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
4025.6
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
4024.2
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
4021.2
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
3995.6
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
3987.3
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
3987.2
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
3962.5
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
3933.1
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
3925.4
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
3913.6
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
3907.5
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
3904.4
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
3894.0
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
3888.7
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
3881.4
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
3865.7
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
3857.8
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
3827.6
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
3812.5
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
3807.8
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
3767.4
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
3754.1
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
3754.0
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
3733.0
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
3729.3
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
3715.6
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
3713.1
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
3698.0
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
3684.1
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
3677.0
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
3668.8
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
3652.4
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
3648.2
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
3642.3
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
3621.8
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
3621.5
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
3612.8
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
3592.6
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
3574.0
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
3573.1
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
3564.2
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
3562.9
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
3558.5
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
3545.2
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
3543.0
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
3539.8
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
3533.5
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
3520.9
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
3517.7
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
3511.8
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
3509.3
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
3507.3
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
3476.2
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
3458.5
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
3427.0
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
3413.2
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
3406.1
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
3401.2
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
3387.6
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
3384.4
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
3375.0
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
3365.4
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
3342.2
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
3332.9
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
3314.6
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
3307.7
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
3283.0
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
3283.0
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
3282.3
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
3257.6
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
3240.3
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
3234.2
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
3229.6
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
3223.6
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
3217.4
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
3199.4
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
3173.1
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
3149.3
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
3142.9
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
3135.5
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
3135.2
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
3135.2
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
3127.4
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
3122.3
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
3101.0
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
3098.1
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
3084.3
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
3076.4
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
3068.4
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
3065.5
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
3057.7
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
3036.3
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
3026.0
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
3025.7
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
3005.0
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
2991.3
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
2974.5
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
2973.2
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
2958.5
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
2957.9
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
2950.9
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
2944.9
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
2933.7
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
2883.0
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
2873.8
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
2873.7
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
2870.6
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
2858.9
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
2835.0
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
2831.1
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
2825.7
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
2822.1
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
2807.1
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
2805.3
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
2789.0
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
2787.9
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
2787.5
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
2786.2
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
2784.9
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
2764.5
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
2762.5
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
2749.2
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
2740.2
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
2731.5
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
2731.2
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
2722.7
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
2718.7
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
2701.6
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
2701.1
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
2695.3
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
2677.2
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
2672.1
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
2660.8
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
2651.5
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
2650.6
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
2648.8
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
2638.9
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
2631.1
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
2615.9
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
2605.8
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
2600.4
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
2595.2
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
2591.5
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
2578.8
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
2575.3
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
2562.1
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
2552.9
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
2546.1
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
2540.9
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
2517.3
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
2516.0
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
2511.3
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
2510.2
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
2502.2
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
2498.7
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
2480.1
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
2444.3
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
2432.5
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
2431.6
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
2422.8
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
2386.6
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
2363.5
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
2325.5
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
2323.1
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
2321.6
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
2321.2
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
2318.3
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
2314.6
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
2313.5
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
2307.2
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
2304.9
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
2302.6
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
2298.0
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
2290.9
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
2282.8
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
2271.1
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
2271.0
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
2263.1
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
2253.9
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
2248.0
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
2241.4
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
2198.4
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
2194.4
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
2190.7
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
2183.2
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
2182.5
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
2181.6
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
2159.3
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
2155.5
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
2155.3
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
2140.3
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
2138.8
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
2132.8
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
2105.0
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
2097.2
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
2091.8
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
2077.4
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
2062.9
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
2047.2
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
2024.1
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
2015.9
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
1937.4
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
1935.2
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
1932.4
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
1918.4
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
1914.4
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
1900.8
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
1880.6
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
1845.6
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
1840.3
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
1837.5
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
1817.1
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
1813.5
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
1809.8
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
1805.4
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
1778.9
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
1753.6
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
1749.4
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
1748.2
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
1741.6
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
1735.0
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
1705.2
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
1701.2
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
1678.2
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
1635.8
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
1612.9
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
1578.3
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
1574.6
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
1518.0
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
1491.4
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
1482.3
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
1470.3
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
1465.1
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
1464.3
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
1410.8
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
1387.0
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
1353.6
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
1343.6
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
1288.9
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
1245.4
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
1245.0
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
1234.0
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
1225.5
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
1174.7
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
1051.1
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
1025.5
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 TPM
2347.6
Number of samples
81
Samples
Sample
Description
TPM
DO46350
66 years, female, NA, stage:III, dead, 886 days
5963.5
DO46528
56 years, female, NA, stage:III, alive, 6139 days
5554.6
DO46348
58 years, female, NA, stage:IV, dead, 287 days
5106.8
DO46432
56 years, female, NA, stage:III, alive, 2218 days
4982.4
DO46400
70 years, female, NA, stage:III, dead, 719 days
4809.4
DO46376
58 years, female, NA, stage:III, dead, 1430 days
4324.0
DO46354
73 years, female, NA, stage:III, dead, 843 days
4026.8
DO46538
57 years, female, NA, stage:III, dead, 1527 days
3635.0
DO46332
56 years, female, NA, stage:III, dead, 689 days
3579.9
DO46374
69 years, female, NA, stage:III, dead, 1409 days
3529.3
DO46508
50 years, female, NA, stage:III, dead, 2101 days
3528.7
DO46329
52 years, female, NA, stage:III, dead, 1699 days
3525.9
DO46402
77 years, female, NA, stage:III, dead, 511 days
3450.8
DO46591
58 years, female, NA, stage:III, dead, 195 days
3358.5
DO46342
67 years, female, NA, stage:III, dead, 1398 days
3311.2
DO46388
74 years, female, NA, stage:III, dead, 413 days
3170.5
DO46333
58 years, female, NA, stage:III, dead, 359 days
3092.0
DO46566
78 years, female, NA, stage:III, dead, 673 days
2976.3
DO46571
61 years, female, NA, stage:III, dead, 243 days
2837.2
DO46382
62 years, female, NA, stage:IV, dead, 311 days
2795.5
DO46448
45 years, female, NA, stage:III, dead, 654 days
2761.1
DO46327
54 years, female, NA, stage:III, dead, 184 days
2741.0
DO46352
60 years, female, NA, stage:III, dead, 677 days
2730.8
DO46463
49 years, female, NA, stage:III, dead, 2451 days
2729.9
DO46372
39 years, female, NA, stage:III, dead, 1326 days
2714.6
DO46386
49 years, female, NA, stage:III, dead, 1162 days
2688.5
DO46412
64 years, female, NA, stage:III, dead, 597 days
2526.1
DO46364
45 years, female, NA, stage:III, dead, 806 days
2423.1
DO46602
74 years, female, NA, stage:III, dead, 205 days
2417.5
DO46443
59 years, female, NA, stage:III, dead, 2464 days
2417.0
DO46576
75 years, female, NA, stage:III, alive, 133 days
2394.7
DO46436
58 years, female, NA, stage:III, alive, 3193 days
2376.4
DO46493
62 years, female, NA, stage:IV, alive, 839 days
2374.6
DO46453
66 years, female, NA, stage:III, dead, 3294 days
2361.3
DO46330
60 years, female, NA, stage:III, dead, 684 days
2361.2
DO46368
57 years, female, NA, stage:III, dead, 2879 days
2347.9
DO46560
45 years, female, NA, stage:IV, dead, 286 days
2318.3
DO46380
51 years, female, NA, stage:III, dead, 1423 days
2283.9
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
2262.9
DO46398
66 years, female, NA, stage:III, alive, 437 days
2249.2
DO46366
65 years, female, NA, stage:III, dead, 2054 days
2168.1
DO46340
62 years, female, NA, stage:III, dead, 616 days
2160.0
DO46370
54 years, female, NA, stage:III, dead, 1727 days
2081.8
DO46384
55 years, female, NA, stage:III, dead, 614 days
2076.9
DO46334
77 years, female, NA, stage:III, dead, 496 days
2071.6
DO46358
60 years, female, NA, stage:III, dead, 423 days
2051.7
DO46561
52 years, female, NA, stage:III, dead, 195 days
2040.3
DO46392
48 years, female, NA, stage:III, dead, 628 days
1991.9
DO46336
70 years, female, NA, stage:IV, dead, 664 days
1936.7
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
1891.8
DO46568
66 years, female, NA, stage:III, dead, 320 days
1857.2
DO46346
54 years, female, NA, stage:III, dead, 1187 days
1835.2
DO46362
61 years, female, NA, stage:III, dead, 1639 days
1785.9
DO46378
59 years, female, NA, stage:III, alive, 843 days
1764.9
DO46606
73 years, female, NA, stage:III, alive, 804 days
1748.6
DO46344
46 years, female, NA, stage:III, dead, 642 days
1748.4
DO46468
67 years, female, NA, stage:III, alive, 2776 days
1734.2
DO46326
51 years, female, NA, stage:III, dead, 701 days
1635.5
DO46581
66 years, female, NA, stage:III, dead, 408 days
1629.6
DO46356
68 years, female, NA, stage:III, dead, 911 days
1611.5
DO46597
60 years, female, NA, stage:III, dead, 393 days
1597.0
DO46586
55 years, female, NA, stage:III, dead, 1019 days
1595.6
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
1542.0
DO46408
56 years, female, NA, stage:III, dead, 489 days
1459.8
DO46588
74 years, female, NA, stage:III, dead, 438 days
1443.2
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
1355.4
DO46331
72 years, female, NA, stage:III, dead, 612 days
1311.3
DO46546
73 years, female, NA, stage:III, dead, 1889 days
1290.3
DO46390
65 years, female, NA, stage:III, dead, 374 days
1245.4
DO46338
59 years, female, NA, stage:III, dead, 596 days
1223.8
DO46533
46 years, female, NA, stage:III, alive, 3667 days
1190.8
DO46518
62 years, female, NA, stage:III, alive, 2960 days
1153.8
DO46325
54 years, female, NA, stage:III, dead, 477 days
1114.8
DO46611
52 years, female, NA, stage:III, dead, 734 days
1091.4
DO46328
52 years, female, NA, stage:III, dead, 972 days
1047.1
DO46551
58 years, female, NA, stage:III, dead, 1055 days
1032.2
DO46404
55 years, female, NA, stage:III, dead, 690 days
997.5
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
970.8
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
964.5
DO46396
64 years, female, NA, stage:III, dead, 583 days
882.5
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
791.2
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
