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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.
TPT1 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
3697.9
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
12107.1
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
10709.2
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
9879.4
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
9560.2
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
9542.7
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
9492.6
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
9485.6
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
8928.3
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
8836.8
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
8344.0
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
8298.3
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
8067.3
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
8015.3
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
7316.8
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
7300.2
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
7289.2
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
7153.9
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
7118.7
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
7110.6
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
7099.9
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
7093.1
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
6945.5
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
6938.8
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
6850.8
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
6782.9
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
6780.4
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
6778.3
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
6776.5
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
6558.5
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
6534.6
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
6517.7
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
6486.0
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
6426.3
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
6348.6
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
6299.5
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
6275.2
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
6214.9
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
6204.8
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
6151.8
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
6126.9
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
5831.2
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
5825.2
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
5824.1
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
5801.9
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
5781.5
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
5755.2
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
5746.0
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
5726.4
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
5675.7
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
5649.5
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
5592.8
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
5549.6
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
5538.2
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
5538.2
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
5522.9
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
5482.0
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
5481.3
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
5382.3
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
5373.4
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
5342.2
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
5306.1
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
5278.0
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
5216.6
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
5179.6
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
5169.5
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
5168.8
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
5147.1
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
5117.4
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
5095.0
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
5079.1
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
5022.2
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
5016.3
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
4992.2
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
4926.9
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
4886.9
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
4858.5
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
4797.8
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
4793.9
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
4786.9
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
4773.6
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
4749.1
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
4692.5
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
4662.8
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
4654.1
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
4609.6
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
4590.7
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
4561.7
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
4544.4
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
4508.3
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
4506.8
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
4493.1
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
4475.1
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
4468.1
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
4346.4
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
4340.8
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
4329.3
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
4321.7
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
4290.6
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
4286.2
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
4224.7
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
4213.9
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
4188.5
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
4164.0
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
4156.3
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
4139.7
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
4123.2
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
4096.0
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
4074.2
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
4058.3
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
4052.7
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
4022.2
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
4015.3
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
3972.9
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
3967.5
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
3930.5
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
3921.3
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
3910.5
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
3904.9
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
3899.3
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
3845.6
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
3829.5
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
3799.7
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
3782.6
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
3778.6
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
3761.6
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
3760.8
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
3755.1
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
3744.1
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
3740.1
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
3706.2
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
3685.3
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
3662.7
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
3656.9
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
3653.7
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
3648.2
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
3641.7
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
3637.0
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
3634.1
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
3631.9
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
3606.3
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
3598.7
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
3570.7
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
3569.9
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
3561.8
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
3545.0
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
3544.8
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
3533.5
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
3530.9
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
3495.0
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
3491.6
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
3491.4
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
3461.9
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
3440.1
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
3434.1
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
3428.6
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
3422.8
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
3419.3
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
3417.6
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
3398.2
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
3393.7
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
3380.2
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
3368.9
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
3368.6
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
3349.5
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
3342.4
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
3339.0
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
3327.1
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
3326.3
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
3324.9
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
3319.9
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
3312.2
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
3302.3
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
3293.5
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
3291.7
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
3290.2
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
3284.5
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
3277.3
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
3268.9
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
3264.8
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
3233.0
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
3213.1
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
3212.5
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
3201.9
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
3197.3
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
3165.2
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
3150.8
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
3119.9
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
3113.9
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
3108.5
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
3107.8
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
3103.6
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
3082.6
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
3074.4
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
3064.3
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
3046.0
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
3043.6
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
3041.0
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
3017.1
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
3009.6
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
3008.9
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
2996.7
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
2982.6
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
2975.4
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
2959.0
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
2932.5
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
2924.1
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
2923.9
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
2903.7
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
2903.1
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
2899.4
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
2897.3
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
2879.2
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
2874.3
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
2863.4
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
2851.9
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
2845.7
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
2842.8
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
2831.4
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
2821.3
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
2819.2
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
2785.0
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
2783.7
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
2783.5
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
2774.3
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
2757.3
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
2749.4
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
2747.0
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
2727.9
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
2716.7
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
2684.0
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
2681.6
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
2677.0
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
2667.1
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
2665.7
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
2661.5
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
2655.1
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
2645.7
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
2640.2
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
2631.4
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
2617.2
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
2609.5
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
2605.1
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
2597.6
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
2589.5
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
2567.6
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
2553.0
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
2546.4
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
2532.9
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
2516.0
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
2486.5
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
2466.8
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
2461.2
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
2456.7
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
2452.6
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
2430.9
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
2428.3
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
2420.4
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
2415.2
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
2413.8
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
2410.5
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
2399.4
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
2398.5
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
2385.0
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
2383.3
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
2364.4
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
2343.5
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
2341.0
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
2340.4
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
2333.3
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
2331.3
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
2318.6
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
2309.6
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
2293.4
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
2292.6
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
2290.4
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
2278.8
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
2278.7
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
2261.8
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
2243.5
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
2240.0
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
2238.2
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
2213.1
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
2202.1
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
2201.2
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
2176.2
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
2168.0
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
2167.2
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
2165.3
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
2153.0
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
2151.9
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
2151.9
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
2138.3
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
2122.1
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
2110.6
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
2100.0
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
2098.4
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
2094.7
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
2093.8
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
2088.1
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
2073.4
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
2071.9
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
2063.2
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
2042.7
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
2022.6
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
2019.1
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
1981.5
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
1978.3
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
1977.2
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
1973.7
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
1972.5
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
1944.4
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
1894.9
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
1894.3
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
1868.7
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
1868.7
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
1854.5
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
1790.2
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
1788.8
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
1764.3
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
1728.0
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
1725.9
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
1721.6
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
1660.0
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
1635.9
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
1633.8
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
1627.9
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
1625.3
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
1606.4
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
1605.7
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
1595.5
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
1580.9
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
1569.7
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
1568.2
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
1558.7
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
1539.0
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
1525.0
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
1521.0
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
1504.1
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
1469.0
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
1456.1
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
1451.0
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
1415.2
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
1407.0
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
1326.9
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
1303.8
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
1290.7
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
1198.5
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
941.1
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 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.
TPT1 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
4165.9
Number of samples
81
Samples
Sample
Description
pTPM
DO46390
65 years, female, NA, stage:III, dead, 374 days
14999.2
DO46328
52 years, female, NA, stage:III, dead, 972 days
12434.0
DO46568
66 years, female, NA, stage:III, dead, 320 days
9375.4
DO46326
51 years, female, NA, stage:III, dead, 701 days
8643.1
DO46338
59 years, female, NA, stage:III, dead, 596 days
7744.4
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
7000.3
DO46463
49 years, female, NA, stage:III, dead, 2451 days
6675.6
DO46508
50 years, female, NA, stage:III, dead, 2101 days
6517.3
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
6429.2
DO46356
68 years, female, NA, stage:III, dead, 911 days
6306.8
DO46388
74 years, female, NA, stage:III, dead, 413 days
6295.0
DO46364
45 years, female, NA, stage:III, dead, 806 days
5917.5
DO46331
72 years, female, NA, stage:III, dead, 612 days
5841.5
DO46376
58 years, female, NA, stage:III, dead, 1430 days
5683.1
DO46591
58 years, female, NA, stage:III, dead, 195 days
5611.7
DO46443
59 years, female, NA, stage:III, dead, 2464 days
5239.2
DO46384
55 years, female, NA, stage:III, dead, 614 days
5165.1
DO46392
48 years, female, NA, stage:III, dead, 628 days
4997.6
DO46346
54 years, female, NA, stage:III, dead, 1187 days
4903.8
DO46333
58 years, female, NA, stage:III, dead, 359 days
4862.9
DO46581
66 years, female, NA, stage:III, dead, 408 days
4781.2
DO46400
70 years, female, NA, stage:III, dead, 719 days
4744.3
DO46370
54 years, female, NA, stage:III, dead, 1727 days
4631.8
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
4622.1
DO46374
69 years, female, NA, stage:III, dead, 1409 days
4610.7
DO46533
46 years, female, NA, stage:III, alive, 3667 days
4544.6
DO46396
64 years, female, NA, stage:III, dead, 583 days
4430.0
DO46380
51 years, female, NA, stage:III, dead, 1423 days
4176.0
DO46329
52 years, female, NA, stage:III, dead, 1699 days
4075.1
DO46560
45 years, female, NA, stage:IV, dead, 286 days
4073.1
DO46325
54 years, female, NA, stage:III, dead, 477 days
3983.2
DO46432
56 years, female, NA, stage:III, alive, 2218 days
3966.7
DO46368
57 years, female, NA, stage:III, dead, 2879 days
3954.8
DO46566
78 years, female, NA, stage:III, dead, 673 days
3879.2
DO46597
60 years, female, NA, stage:III, dead, 393 days
3815.9
DO46398
66 years, female, NA, stage:III, alive, 437 days
3698.1
DO46382
62 years, female, NA, stage:IV, dead, 311 days
3637.9
DO46611
52 years, female, NA, stage:III, dead, 734 days
3622.7
DO46588
74 years, female, NA, stage:III, dead, 438 days
3615.1
DO46348
58 years, female, NA, stage:IV, dead, 287 days
3592.2
DO46538
57 years, female, NA, stage:III, dead, 1527 days
3585.3
DO46330
60 years, female, NA, stage:III, dead, 684 days
3569.9
DO46352
60 years, female, NA, stage:III, dead, 677 days
3535.7
DO46518
62 years, female, NA, stage:III, alive, 2960 days
3449.4
DO46576
75 years, female, NA, stage:III, alive, 133 days
3424.4
DO46402
77 years, female, NA, stage:III, dead, 511 days
3388.2
DO46386
49 years, female, NA, stage:III, dead, 1162 days
3367.3
DO46586
55 years, female, NA, stage:III, dead, 1019 days
3345.7
DO46354
73 years, female, NA, stage:III, dead, 843 days
3180.9
DO46571
61 years, female, NA, stage:III, dead, 243 days
3179.7
DO46493
62 years, female, NA, stage:IV, alive, 839 days
3171.9
DO46334
77 years, female, NA, stage:III, dead, 496 days
3135.0
DO46561
52 years, female, NA, stage:III, dead, 195 days
3108.1
DO46378
59 years, female, NA, stage:III, alive, 843 days
3046.7
DO46448
45 years, female, NA, stage:III, dead, 654 days
2985.1
DO46358
60 years, female, NA, stage:III, dead, 423 days
2978.2
DO46342
67 years, female, NA, stage:III, dead, 1398 days
2954.3
DO46404
55 years, female, NA, stage:III, dead, 690 days
2941.0
DO46327
54 years, female, NA, stage:III, dead, 184 days
2914.6
DO46350
66 years, female, NA, stage:III, dead, 886 days
2890.5
DO46362
61 years, female, NA, stage:III, dead, 1639 days
2830.1
DO46344
46 years, female, NA, stage:III, dead, 642 days
2813.5
DO46408
56 years, female, NA, stage:III, dead, 489 days
2753.1
DO46453
66 years, female, NA, stage:III, dead, 3294 days
2674.4
DO46332
56 years, female, NA, stage:III, dead, 689 days
2669.3
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
2598.9
DO46436
58 years, female, NA, stage:III, alive, 3193 days
2579.4
DO46340
62 years, female, NA, stage:III, dead, 616 days
2545.0
DO46551
58 years, female, NA, stage:III, dead, 1055 days
2505.4
DO46366
65 years, female, NA, stage:III, dead, 2054 days
2473.4
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
2415.4
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
2413.1
DO46606
73 years, female, NA, stage:III, alive, 804 days
2376.7
DO46412
64 years, female, NA, stage:III, dead, 597 days
2359.2
DO46546
73 years, female, NA, stage:III, dead, 1889 days
2258.7
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
2229.3
DO46336
70 years, female, NA, stage:IV, dead, 664 days
2183.1
DO46528
56 years, female, NA, stage:III, alive, 6139 days
2130.5
DO46602
74 years, female, NA, stage:III, dead, 205 days
1869.2
DO46468
67 years, female, NA, stage:III, alive, 2776 days
1823.4
DO46372
39 years, female, NA, stage:III, dead, 1326 days
1694.3
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
1.5
2f901c90-617e-46da-9fac-d68369_D2
Tumor
1.3
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
0.9
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
0.9
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
0.8
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
0.8
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
0.7
e9d416e7-f661-400a-896e-388545_D2
Tumor
0.7
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
0.7
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
0.6
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
0.6
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
0.6
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
0.6
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
0.6
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
0.5
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
0.5
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
0.5
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
0.5
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
0.5
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
0.5
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
0.5
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
0.5
161317f3-1a39-438e-af45-cd2502_D2
Tumor
0.5
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
0.4
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
0.4
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
0.4
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
0.4
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
0.4
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
0.4
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
0.4
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
0.4
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
0.4
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
0.4
1db5574d-aca7-403c-8100-6e705f_D2
Normal
0.4
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
0.4
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
0.3
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
0.3
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
0.3
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
0.3
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
0.3
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
0.3
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
0.3
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
0.2
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
0.2
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
0.2
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
0.2
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
0.2
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
0.2
10c2d629-0287-4511-ac25-f29031_D2
Tumor
0.2
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
0.2
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
0.2
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
0.2
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
0.2
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
0.1
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
0.1
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
0.1
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
0.1
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
0.1
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
0.1
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
0.1
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
0.1
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
0.1
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
0.1
340a3769-3031-41ae-bb08-a2f696_D2
Normal
0.1
1a10c200-3895-4648-b951-94f99f_D2
Tumor
0.1
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
0.1
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
0.0
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
0.0
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
0.0
a3a26070-fb84-406a-8280-d555e6_D2
Normal
0.0
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
0.0
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
-0.1
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
-0.1
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
-0.1
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
-0.1
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
-0.1
1772e913-f62e-446a-8cf3-720348_D2
Tumor
-0.2
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
-0.2
a65d8e76-640f-4341-a561-afbb57_D2
Normal
-0.2
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
-0.2
15524912-685a-47ce-a824-567848_D2
Tumor
-0.2
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
-0.2
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
-0.2
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
-0.2
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
-0.3
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
-0.3
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
-0.3
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
-0.3
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
-0.3
285fed94-1495-448e-879b-b55de9_D2
Tumor
-0.3
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
-0.3
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
-0.3
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
-0.4
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-0.4
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
-0.4
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
-0.4
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
-0.4
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
-0.4
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
-0.5
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
-0.5
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
-0.5
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
-0.5
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-0.5
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
-0.5
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
-0.6
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
-0.6
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-0.7
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
