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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.
TMSB4X 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
3980.6
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
17465.7
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
15877.2
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
15288.0
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
13622.9
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
11883.6
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
11396.2
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
11076.4
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
10598.2
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
10242.4
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
10087.6
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
9921.2
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
9174.5
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
9164.1
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
9093.6
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
9050.4
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
8711.5
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
8647.7
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
8547.2
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
8195.4
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
7947.0
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
7925.3
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
7838.2
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
7643.2
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
7499.0
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
7414.4
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
7394.1
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
7312.2
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
7256.2
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
7242.8
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
7227.4
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
7052.2
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
7022.4
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
6946.0
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
6788.1
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
6727.8
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
6660.6
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
6615.9
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
6615.2
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
6597.6
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
6589.2
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
6587.9
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
6506.5
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
6363.6
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
6326.5
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
6285.1
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
6194.1
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
6169.2
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
6131.1
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
6085.0
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
6083.7
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
6074.5
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
5972.8
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
5958.4
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
5914.1
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
5899.1
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
5842.6
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
5795.1
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
5751.0
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
5733.9
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
5685.4
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
5674.8
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
5656.3
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
5618.6
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
5560.4
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
5549.4
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
5497.2
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
5469.7
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
5455.3
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
5443.0
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
5370.7
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
5354.9
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
5324.9
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
5298.2
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
5292.6
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
5247.9
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
5238.9
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
5229.8
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
5213.2
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
5173.0
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
5140.4
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
5120.8
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
5119.6
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
5095.4
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
5071.0
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
5060.1
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
4998.1
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
4954.4
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
4886.6
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
4883.3
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
4839.0
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
4836.9
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
4823.2
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
4808.8
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
4786.0
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
4762.6
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
4748.3
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
4732.2
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
4723.6
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
4718.4
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
4673.2
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
4658.1
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
4657.6
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
4653.2
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
4647.7
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
4647.0
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
4636.3
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
4619.1
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
4613.4
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
4608.7
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
4594.9
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
4583.3
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
4550.6
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
4548.6
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
4547.7
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
4527.5
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
4523.3
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
4505.6
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
4490.4
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
4486.8
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
4463.7
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
4437.6
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
4413.9
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
4409.6
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
4390.5
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
4360.9
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
4353.6
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
4268.7
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
4258.9
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
4228.7
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
4202.4
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
4186.5
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
4176.6
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
4155.4
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
4130.1
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
4118.0
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
4045.3
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
4037.2
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
3989.3
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
3988.9
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
3972.4
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
3965.6
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
3960.1
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
3912.2
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
3888.6
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
3878.2
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
3875.5
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
3865.3
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
3859.3
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
3854.9
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
3854.7
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
3829.9
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
3813.1
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
3801.8
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
3800.8
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
3752.1
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
3744.2
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
3743.2
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
3729.3
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
3729.1
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
3727.3
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
3723.5
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
3720.7
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
3716.5
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
3712.1
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
3702.6
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
3701.5
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
3677.1
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
3654.2
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
3600.9
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
3583.6
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
3546.9
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
3533.7
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
3533.3
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
3529.3
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
3514.3
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
3484.1
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
3471.0
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
3465.7
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
3463.6
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
3453.9
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
3449.6
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
3448.5
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
3441.9
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
3411.1
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
3400.3
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
3337.5
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
3316.9
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
3265.1
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
3255.5
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
3232.5
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
3164.3
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
3160.7
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
3141.4
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
3097.6
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
3082.2
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
3072.4
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
3050.9
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
3036.7
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
3026.2
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
3018.9
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
2989.9
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
2979.0
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
2964.2
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
2960.8
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
2920.2
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
2916.1
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
2908.5
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
2904.5
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
2904.4
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
2901.6
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
2886.0
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
2883.9
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
2872.6
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
2864.3
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
2854.1
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
2852.9
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
2852.4
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
2834.2
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
2827.7
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
2827.0
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
2824.2
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
2808.0
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
2792.6
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
2747.0
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
2736.7
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
2695.0
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
2695.0
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
2683.6
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
2653.5
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
2641.4
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
2628.3
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
2625.6
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
2618.0
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
2605.0
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
2595.6
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
2583.7
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
2572.4
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
2566.0
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
2562.4
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
2560.8
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
2551.5
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
2548.7
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
2536.2
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
2521.3
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
2520.7
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
2515.5
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
2512.3
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
2511.4
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
2508.5
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
2505.2
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
2497.1
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
2484.5
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
2454.9
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
2443.7
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
2443.3
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
2438.3
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
2438.1
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
2423.5
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
2411.4
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
2406.4
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
2405.0
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
2404.4
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
2360.7
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
2356.1
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
2338.2
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
2322.9
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
2318.9
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
2296.6
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
2283.1
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
2263.5
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
2242.7
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
2242.7
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
2239.8
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
2213.2
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
2209.0
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
2196.1
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
2182.6
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
2157.2
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
2155.9
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
2143.5
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
2111.3
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
2106.1
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
2098.7
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
2094.3
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
2092.8
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
2078.9
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
2076.7
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
2063.2
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
2050.2
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
2030.1
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
1991.2
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
1948.1
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
1939.0
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
1925.5
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
1904.4
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
1903.4
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
1901.8
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
1884.7
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
1861.9
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
1855.6
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
1849.6
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
1833.7
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
1826.7
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
1772.0
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
1756.4
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
1750.3
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
1741.1
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
1737.1
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
1721.3
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
1703.2
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
1701.1
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
1699.3
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
1675.5
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
1644.4
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
1605.9
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
1566.5
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
1553.6
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
1540.2
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
1523.1
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
1522.0
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
1508.3
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
1501.0
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
1486.0
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
1471.2
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
1468.6
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
1463.6
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
1458.6
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
1443.4
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
1428.3
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
1416.0
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
1400.5
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
1381.1
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
1373.8
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
1353.2
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
1346.7
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
1345.9
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
1339.1
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
1322.5
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
1317.7
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
1182.7
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
1153.9
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
1091.4
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
1065.6
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
1003.7
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
888.2
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
867.8
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
856.9
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
465.6
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 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.
TMSB4X 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
4001.7
Number of samples
81
Samples
Sample
Description
pTPM
DO46388
74 years, female, NA, stage:III, dead, 413 days
10581.3
DO46581
66 years, female, NA, stage:III, dead, 408 days
7862.9
DO46566
78 years, female, NA, stage:III, dead, 673 days
7555.5
DO46551
58 years, female, NA, stage:III, dead, 1055 days
7382.5
DO46528
56 years, female, NA, stage:III, alive, 6139 days
7250.0
DO46327
54 years, female, NA, stage:III, dead, 184 days
7103.7
DO46346
54 years, female, NA, stage:III, dead, 1187 days
6758.1
DO46571
61 years, female, NA, stage:III, dead, 243 days
6392.9
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
6245.9
DO46376
58 years, female, NA, stage:III, dead, 1430 days
6050.3
DO46330
60 years, female, NA, stage:III, dead, 684 days
5905.5
DO46336
70 years, female, NA, stage:IV, dead, 664 days
5897.6
DO46340
62 years, female, NA, stage:III, dead, 616 days
5877.7
DO46606
73 years, female, NA, stage:III, alive, 804 days
5828.5
DO46432
56 years, female, NA, stage:III, alive, 2218 days
5814.3
DO46329
52 years, female, NA, stage:III, dead, 1699 days
5813.8
DO46380
51 years, female, NA, stage:III, dead, 1423 days
5666.5
DO46508
50 years, female, NA, stage:III, dead, 2101 days
5535.4
DO46560
45 years, female, NA, stage:IV, dead, 286 days
5255.6
DO46348
58 years, female, NA, stage:IV, dead, 287 days
5227.2
DO46453
66 years, female, NA, stage:III, dead, 3294 days
5060.7
DO46533
46 years, female, NA, stage:III, alive, 3667 days
4961.9
DO46342
67 years, female, NA, stage:III, dead, 1398 days
4871.0
DO46354
73 years, female, NA, stage:III, dead, 843 days
4856.8
DO46392
48 years, female, NA, stage:III, dead, 628 days
4825.6
DO46372
39 years, female, NA, stage:III, dead, 1326 days
4712.9
DO46586
55 years, female, NA, stage:III, dead, 1019 days
4684.3
DO46576
75 years, female, NA, stage:III, alive, 133 days
4605.6
DO46602
74 years, female, NA, stage:III, dead, 205 days
4598.0
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
4547.6
DO46443
59 years, female, NA, stage:III, dead, 2464 days
4492.4
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
4449.3
DO46333
58 years, female, NA, stage:III, dead, 359 days
4391.4
DO46382
62 years, female, NA, stage:IV, dead, 311 days
4325.5
DO46364
45 years, female, NA, stage:III, dead, 806 days
4284.9
DO46332
56 years, female, NA, stage:III, dead, 689 days
4284.7
DO46386
49 years, female, NA, stage:III, dead, 1162 days
4244.6
DO46334
77 years, female, NA, stage:III, dead, 496 days
4207.6
DO46368
57 years, female, NA, stage:III, dead, 2879 days
4103.6
DO46378
59 years, female, NA, stage:III, alive, 843 days
4097.3
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
4028.1
DO46591
58 years, female, NA, stage:III, dead, 195 days
3993.3
DO46350
66 years, female, NA, stage:III, dead, 886 days
3831.8
DO46468
67 years, female, NA, stage:III, alive, 2776 days
3572.2
DO46448
45 years, female, NA, stage:III, dead, 654 days
3555.0
DO46344
46 years, female, NA, stage:III, dead, 642 days
3526.1
DO46328
52 years, female, NA, stage:III, dead, 972 days
3489.9
DO46588
74 years, female, NA, stage:III, dead, 438 days
3485.6
DO46568
66 years, female, NA, stage:III, dead, 320 days
3443.1
DO46358
60 years, female, NA, stage:III, dead, 423 days
3419.4
DO46352
60 years, female, NA, stage:III, dead, 677 days
3321.9
DO46325
54 years, female, NA, stage:III, dead, 477 days
3180.4
DO46396
64 years, female, NA, stage:III, dead, 583 days
3095.7
DO46390
65 years, female, NA, stage:III, dead, 374 days
3006.3
DO46404
55 years, female, NA, stage:III, dead, 690 days
2766.4
DO46561
52 years, female, NA, stage:III, dead, 195 days
2649.9
DO46408
56 years, female, NA, stage:III, dead, 489 days
2599.6
DO46374
69 years, female, NA, stage:III, dead, 1409 days
2551.9
DO46611
52 years, female, NA, stage:III, dead, 734 days
2513.9
DO46366
65 years, female, NA, stage:III, dead, 2054 days
2457.0
DO46326
51 years, female, NA, stage:III, dead, 701 days
2396.9
DO46370
54 years, female, NA, stage:III, dead, 1727 days
2329.0
DO46518
62 years, female, NA, stage:III, alive, 2960 days
2326.7
DO46493
62 years, female, NA, stage:IV, alive, 839 days
2275.0
DO46463
49 years, female, NA, stage:III, dead, 2451 days
2246.5
DO46398
66 years, female, NA, stage:III, alive, 437 days
2217.1
DO46546
73 years, female, NA, stage:III, dead, 1889 days
2115.9
DO46597
60 years, female, NA, stage:III, dead, 393 days
2115.3
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
1981.1
DO46412
64 years, female, NA, stage:III, dead, 597 days
1959.3
DO46436
58 years, female, NA, stage:III, alive, 3193 days
1913.3
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
1904.8
DO46384
55 years, female, NA, stage:III, dead, 614 days
1814.3
DO46400
70 years, female, NA, stage:III, dead, 719 days
1751.4
DO46356
68 years, female, NA, stage:III, dead, 911 days
1695.8
DO46362
61 years, female, NA, stage:III, dead, 1639 days
1658.6
DO46331
72 years, female, NA, stage:III, dead, 612 days
1510.2
DO46338
59 years, female, NA, stage:III, dead, 596 days
1477.2
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
1315.1
DO46402
77 years, female, NA, stage:III, dead, 511 days
1224.4
DO46538
57 years, female, NA, stage:III, dead, 1527 days
812.9
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
0.2
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
0.1
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
0.1
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
-0.1
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
-0.1
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
-0.1
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
-0.2
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
-0.4
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
-0.4
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
-0.4
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
-0.4
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
-0.4
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
-0.5
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
-0.5
2f901c90-617e-46da-9fac-d68369_D2
Tumor
-0.5
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
-0.5
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
-0.5
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
-0.5
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
-0.5
161317f3-1a39-438e-af45-cd2502_D2
Tumor
-0.6
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
-0.6
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
-0.6
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
-0.7
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
-0.7
285fed94-1495-448e-879b-b55de9_D2
Tumor
-0.7
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
-0.7
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
-0.7
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
-0.7
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
-0.7
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
-0.8
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
-0.8
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
-0.9
340a3769-3031-41ae-bb08-a2f696_D2
Normal
-0.9
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
-0.9
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
-0.9
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
-1.0
a3a26070-fb84-406a-8280-d555e6_D2
Normal
-1.0
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
-1.0
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
-1.0
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
-1.1
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
-1.1
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
-1.1
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
-1.1
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
-1.1
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
-1.1
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
-1.2
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
-1.2
15524912-685a-47ce-a824-567848_D2
Tumor
-1.2
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
-1.2
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
-1.3
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
-1.3
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
-1.3
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
-1.3
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
-1.3
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
-1.3
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-1.3
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
-1.3
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
-1.3
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
-1.3
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
-1.4
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
-1.4
10c2d629-0287-4511-ac25-f29031_D2
Tumor
-1.4
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
-1.4
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-1.4
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
-1.4
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
-1.5
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
-1.5
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
-1.5
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
-1.6
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
-1.6
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
-1.6
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
-1.6
1a10c200-3895-4648-b951-94f99f_D2
Tumor
-1.7
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
-1.7
e9d416e7-f661-400a-896e-388545_D2
Tumor
-1.7
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
-1.7
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-1.7
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
-1.7
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
-1.7
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
-1.7
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
-1.7
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
-1.8
1772e913-f62e-446a-8cf3-720348_D2
Tumor
-1.8
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
-1.8
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
-1.8
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
-1.9
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
-1.9
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
-1.9
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
-2.0
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
-2.0
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
-2.0
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
-2.1
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
-2.1
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
-2.1
1db5574d-aca7-403c-8100-6e705f_D2
Normal
-2.1
a65d8e76-640f-4341-a561-afbb57_D2
Normal
-2.1
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
-2.1
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
-2.1
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
-2.2
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
-2.2
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
-2.2
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
-2.3
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
-2.3
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
-2.4
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
-2.4
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
-2.7
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
-2.8
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
-2.9
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
