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OVARIAN CANCER - Interactive survival scatter ploti
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 interactive Survival Scatter plot allows for the cutoff to be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Survival analysis". Under the Survival Scatter plot the p-score landscape is shown together with the difference in median between survival time for patients who have died with respect to high and low expression. This is intended to aid the user in exploring custom cutoffs.
Individual patient data is displayed in an interactive plot 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).
PLXNB2 is prognostic, high expression is unfavourable in ovarian cancer
Stage:
Survival analysis
Current cut off: Best expression cut offi
Based on the FPKM value of each gene, we classified the patients into two groups and examined their prognoses. In the analysis, we excluded genes with low expression, i.e., those with a median expression among samples less than FPKM 1. The prognosis of each group of patients was examined by Kaplan-Meier survival estimators, and the survival outcomes of the two groups were compared by log-rank tests. To choose the best FPKM cut-offs for grouping the patients most significantly, all FPKM values from the 20th to 80th percentiles were used to group the patients, significant differences in the survival outcomes of the groups were examined and the value yielding the lowest log-rank P value is selected.
: 59.15
Median expression: N/A
Median follow up time: 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 median 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 FPKM
63.9
Number of samples
373
Samples
Sample
Description
FPKM
TCGA-36-1574-01A
48 years, female, asian, alive, 686 days
254.3
TCGA-13-1405-01A
49 years, female, white, dead, 868 days
192.8
TCGA-10-0936-01A
69 years, female, black or african american, dead, 1123 days
186.7
TCGA-61-2104-01A
53 years, female, white, alive, 2338 days
178.3
TCGA-25-1627-01A
73 years, female, white, dead, 394 days
172.6
TCGA-57-1585-01A
57 years, female, white, dead, 53 days
170.4
TCGA-24-1469-01A
71 years, female, white, alive, 277 days
168.5
TCGA-30-1861-01A
74 years, female, white, dead, 1058 days
165.1
TCGA-25-1328-01A
38 years, female, white, dead, 2009 days
160.0
TCGA-09-0366-01A
56 years, female, white, dead, 1757 days
153.3
TCGA-29-1710-01A
54 years, female, white, dead, 951 days
149.2
TCGA-24-1842-01A
49 years, female, white, alive, 253 days
143.2
TCGA-25-1635-01A
71 years, female, white, dead, 1583 days
142.5
TCGA-57-1993-01A
56 years, female, white, alive, 763 days
133.2
TCGA-29-2427-01A
60 years, female, white, alive, 1900 days
129.5
TCGA-24-1847-01A
45 years, female, white, alive, 343 days
128.0
TCGA-31-1950-01A
76 years, female, white, alive, 571 days
125.4
TCGA-24-1551-01A
53 years, female, white, dead, 1579 days
124.8
TCGA-24-1549-01A
58 years, female, white, dead, 1721 days
124.4
TCGA-24-2288-01A
70 years, female, white, dead, 25 days
124.0
TCGA-23-1023-01A
65 years, female, white, alive, 1233 days
119.4
TCGA-24-2261-01A
76 years, female, white, dead, 24 days
115.8
TCGA-13-1410-01A
57 years, female, white, alive, 2464 days
115.8
TCGA-36-1581-01A
63 years, female, white, alive, 751 days
114.7
TCGA-04-1332-01A
70 years, female, white, dead, 1247 days
113.4
TCGA-24-2038-01A
68 years, female, white, dead, 1354 days
113.1
TCGA-29-1695-01A
62 years, female, white, dead, 1229 days
112.0
TCGA-24-2267-01A
58 years, female, white, dead, 1446 days
111.9
TCGA-61-2092-01A
57 years, female, white, alive, 1573 days
111.6
TCGA-13-0726-01A
55 years, female, white, dead, 949 days
111.4
TCGA-13-1403-01A
48 years, female, white, dead, 2345 days
109.3
TCGA-25-2404-01A
38 years, female, american indian or alaska native, dead, 883 days
108.5
TCGA-23-1026-01B
45 years, female, white, alive, 816 days
108.5
TCGA-23-1109-01A
63 years, female, white, dead, 1562 days
107.8
TCGA-24-1428-01A
50 years, female, white, alive, 529 days
107.3
TCGA-24-1470-01A
54 years, female, white, alive, 105 days
107.1
TCGA-13-1485-01A
48 years, female, white, dead, 629 days
105.9
TCGA-24-2290-01A
56 years, female, white, dead, 1102 days
105.3
TCGA-13-0893-01B
48 years, female, black or african american, dead, 1319 days
105.1
TCGA-24-2026-01A
79 years, female, white, dead, 1059 days
104.8
TCGA-24-1427-01A
58 years, female, alive, 147 days
104.6
TCGA-13-0714-01A
55 years, female, white, dead, 189 days
104.0
TCGA-31-1959-01A
49 years, female, white, alive, 67 days
103.8
TCGA-24-1552-01A
77 years, female, white, dead, 1259 days
103.8
TCGA-61-1911-01A
55 years, female, white, alive, 1293 days
102.4
TCGA-24-1845-01A
42 years, female, white, alive, 116 days
102.3
TCGA-20-0987-01A
61 years, female, white, dead, 701 days
101.4
TCGA-25-1626-01A
65 years, female, white, dead, 518 days
101.1
TCGA-04-1362-01A
59 years, female, white, dead, 1348 days
98.0
TCGA-5X-AA5U-01A
61 years, female, black or african american, alive, 361 days
97.9
TCGA-25-1321-01A
65 years, female, white, dead, 1033 days
97.4
TCGA-24-2035-01A
65 years, female, white, dead, 857 days
97.3
TCGA-25-1630-01A
73 years, female, white, dead, 1162 days
97.2
TCGA-61-2113-01A
54 years, female, white, dead, 676 days
96.7
TCGA-13-0727-01A
71 years, female, white, dead, 462 days
96.1
TCGA-24-1930-01A
53 years, female, white, dead, 2467 days
96.0
TCGA-24-1546-01A
46 years, female, white, dead, 1955 days
95.4
TCGA-25-1329-01A
76 years, female, white, dead, 457 days
95.1
TCGA-29-1705-01A
48 years, female, white, dead, 555 days
95.1
TCGA-24-1435-01A
57 years, female, white, dead, 1324 days
94.9
TCGA-24-2293-01A
47 years, female, white, dead, 506 days
94.0
TCGA-13-1411-01A
81 years, female, white, dead, 531 days
93.3
TCGA-09-2045-01A
50 years, female, asian, dead, 1069 days
91.2
TCGA-61-2102-01A
74 years, female, white, dead, 197 days
91.1
TCGA-25-1318-01A
54 years, female, white, dead, 1064 days
90.4
TCGA-29-1763-01A
43 years, female, black or african american, alive, 2032 days
89.3
TCGA-57-1994-01A
63 years, female, white, alive, 761 days
88.1
TCGA-24-2271-01A
55 years, female, asian, dead, 962 days
87.8
TCGA-13-1477-01A
49 years, female, white, dead, 1662 days
87.8
TCGA-24-1417-01A
54 years, female, white, alive, 238 days
87.4
TCGA-24-2297-01A
56 years, female, white, dead, 1699 days
87.4
TCGA-24-1563-01A
66 years, female, black or african american, dead, 1451 days
87.4
TCGA-31-1951-01A
58 years, female, white, alive, 684 days
86.7
TCGA-13-1408-01A
59 years, female, white, dead, 1680 days
86.0
TCGA-25-2409-01A
71 years, female, white, dead, 821 days
85.7
TCGA-25-1322-01A
62 years, female, white, dead, 91 days
85.6
TCGA-29-1770-01A
54 years, female, white, alive, 741 days
85.6
TCGA-04-1530-01A
68 years, female, white, dead, 3622 days
85.5
TCGA-30-1857-01A
64 years, female, white, dead, 8 days
85.3
TCGA-25-2042-01A
60 years, female, american indian or alaska native, dead, 396 days
85.1
TCGA-24-1544-01A
71 years, female, black or african american, dead, 820 days
84.8
TCGA-61-2008-01A
40 years, female, asian, alive, 932 days
84.6
TCGA-61-1741-01A
76 years, female, white, dead, 1024 days
84.5
TCGA-61-1998-01A
48 years, female, white, alive, 168 days
84.3
TCGA-24-1557-01A
49 years, female, white, dead, 1213 days
84.0
TCGA-13-0762-01A
65 years, female, white, alive, 3400 days
83.8
TCGA-61-2003-01A
53 years, female, white, alive, 122 days
83.7
TCGA-24-2024-01A
72 years, female, black or african american, dead, 1769 days
83.6
TCGA-24-1425-01A
45 years, female, white, alive, 181 days
82.6
TCGA-13-1511-01A
52 years, female, asian, dead, 1650 days
82.1
TCGA-24-1562-01A
67 years, female, white, dead, 1384 days
81.9
TCGA-61-2097-01A
71 years, female, white, alive, 1844 days
81.8
TCGA-24-2262-01A
57 years, female, white, dead, 11 days
81.5
TCGA-57-1586-01A
66 years, female, white, alive, 679 days
81.4
TCGA-61-1995-01A
43 years, female, white, alive, 61 days
81.4
TCGA-61-1724-01A
47 years, female, white, dead, 637 days
80.3
TCGA-29-1697-01A
62 years, female, white, dead, 949 days
80.1
TCGA-25-1313-01A
62 years, female, white, dead, 820 days
79.9
TCGA-13-0908-01B
58 years, female, white, dead, 1843 days
79.3
TCGA-29-1690-01A
66 years, female, white, dead, 1448 days
78.9
TCGA-29-1784-01A
55 years, female, white, alive, 163 days
78.9
TCGA-25-2391-01A
57 years, female, white, dead, 1492 days
78.5
TCGA-61-1736-01B
45 years, female, white, dead, 1484 days
78.2
TCGA-09-1662-01A
58 years, female, white, dead, 2717 days
77.8
TCGA-24-2254-01A
66 years, female, white, dead, 1736 days
77.8
TCGA-24-2023-01A
54 years, female, white, dead, 1364 days
77.6
TCGA-61-2109-01A
40 years, female, white, dead, 629 days
77.6
TCGA-25-1326-01A
61 years, female, white, dead, 1249 days
77.5
TCGA-23-2084-01A
45 years, female, white, dead, 1516 days
77.2
TCGA-09-2051-01A
42 years, female, white, alive, 1919 days
76.9
TCGA-04-1343-01A
72 years, female, white, dead, 361 days
76.8
TCGA-24-1422-01A
82 years, female, black or african american, dead, 23 days
75.8
TCGA-24-1843-01A
67 years, female, white, alive, 106 days
75.7
TCGA-25-1870-01A
59 years, female, white, dead, 455 days
75.6
TCGA-OY-A56Q-01A
78 years, female, black or african american, alive, 576 days
75.3
TCGA-09-2054-01A
58 years, female, black or african american, dead, 637 days
75.2
TCGA-31-1944-01A
47 years, female, white, alive, 1386 days
74.3
TCGA-25-2396-01A
71 years, female, white, dead, 92 days
74.3
TCGA-24-1467-01A
51 years, female, white, dead, 3224 days
74.0
TCGA-13-0720-01A
48 years, female, white, dead, 1355 days
73.8
TCGA-13-A5FT-01A
67 years, female, black or african american, alive, 2143 days
72.6
TCGA-24-1565-01A
74 years, female, white, dead, 312 days
72.4
TCGA-23-2077-01A
45 years, female, white, alive, 3525 days
72.1
TCGA-24-1434-01A
59 years, female, white, dead, 568 days
71.9
TCGA-61-2088-01A
51 years, female, white, alive, 145 days
71.8
TCGA-25-1632-01A
68 years, female, white, dead, 1799 days
71.6
TCGA-30-1860-01A
58 years, female, white, dead, 1366 days
71.5
TCGA-30-1891-01A
61 years, female, white, dead, 914 days
71.5
TCGA-29-1711-01A
45 years, female, black or african american, alive, 1053 days
71.1
TCGA-23-1029-01B
46 years, female, white, alive, 268 days
71.1
TCGA-24-1604-01A
67 years, female, white, dead, 2688 days
70.8
TCGA-24-2289-01A
69 years, female, white, dead, 2049 days
70.6
TCGA-24-2298-01A
56 years, female, white, dead, 1620 days
70.5
TCGA-31-1953-01A
52 years, female, asian, alive, 204 days
70.4
TCGA-59-2355-01A
female, white, dead, 65 days
69.9
TCGA-23-1122-01A
53 years, female, white, dead, 1189 days
69.6
TCGA-13-0883-01A
61 years, female, white, dead, 2097 days
69.0
TCGA-24-1844-01A
64 years, female, white, alive, 113 days
68.3
TCGA-24-1431-01A
67 years, female, white, dead, 567 days
68.1
TCGA-61-1738-01A
60 years, female, black or african american, dead, 1089 days
68.0
TCGA-13-1492-01A
66 years, female, white, dead, 3819 days
67.4
TCGA-29-2428-01A
58 years, female, white, alive, 1372 days
67.3
TCGA-24-1413-01A
51 years, female, white, alive, 192 days
67.3
TCGA-24-1105-01A
36 years, female, white, dead, 1442 days
67.2
TCGA-24-1567-01A
54 years, female, white, dead, 524 days
67.0
TCGA-31-1946-01A
30 years, female, alive, 918 days
66.7
TCGA-24-1430-01A
68 years, female, white, dead, 863 days
66.7
TCGA-24-1423-01A
61 years, female, white, alive, 190 days
66.5
TCGA-31-1956-01A
60 years, female, white, alive, 1342 days
66.2
TCGA-25-1631-01A
73 years, female, white, dead, 9 days
65.5
TCGA-25-2401-01A
64 years, female, white, dead, 90 days
64.8
TCGA-25-1633-01A
64 years, female, white, dead, 1891 days
64.6
TCGA-57-1584-01A
47 years, female, white, alive, 643 days
64.5
TCGA-04-1648-01A
57 years, female, white, dead, 871 days
64.5
TCGA-23-1024-01A
52 years, female, white, alive, 468 days
64.1
TCGA-23-1030-01A
64 years, female, white, alive, 886 days
63.9
TCGA-29-1694-01A
45 years, female, white, dead, 1187 days
63.8
TCGA-59-2352-01A
female, white, dead, 286 days
63.8
TCGA-23-1111-01A
63 years, female, white, alive, 98 days
63.6
TCGA-24-1426-01A
43 years, female, white, alive, 163 days
63.1
TCGA-25-1312-01A
69 years, female, white, dead, 31 days
63.1
TCGA-13-1489-01A
70 years, female, white, dead, 2553 days
63.0
TCGA-20-1682-01A
56 years, female, white, alive, 837 days
62.9
TCGA-36-1569-01A
52 years, female, white, alive, 885 days
62.6
TCGA-24-1550-01A
49 years, female, white, dead, 1249 days
62.4
TCGA-59-2350-01A
female, dead, 679 days
62.3
TCGA-36-1570-01A
49 years, female, white, alive, 655 days
61.7
TCGA-24-2027-01A
51 years, female, white, dead, 3337 days
61.5
TCGA-23-1113-01A
48 years, female, white, dead, 949 days
61.2
TCGA-23-1120-01A
60 years, female, white, alive, 130 days
61.0
TCGA-04-1331-01A
79 years, female, white, dead, 1336 days
61.0
TCGA-24-2036-01A
50 years, female, white, dead, 1947 days
60.7
TCGA-57-1582-01A
female, white, dead, 731 days
60.5
TCGA-25-1628-01A
67 years, female, white, dead, 627 days
60.4
TCGA-VG-A8LO-01A
55 years, female, black or african american, dead, 24 days
60.4
TCGA-59-2348-01A
female, white, alive, 5481 days
60.3
TCGA-29-1785-01A
55 years, female, white, dead, 1104 days
60.1
TCGA-24-1616-01A
56 years, female, white, dead, 1163 days
59.9
TCGA-13-0911-01A
55 years, female, white, dead, 1355 days
59.5
TCGA-61-1918-01A
45 years, female, white, dead, 479 days
59.4
TCGA-13-0724-01A
72 years, female, white, dead, 83 days
59.3
TCGA-23-1110-01A
42 years, female, white, alive, 1658 days
59.0
TCGA-61-2002-01A
46 years, female, white, alive, 547 days
58.8
TCGA-61-2012-01A
81 years, female, white, alive, 932 days
58.7
TCGA-29-1776-01A
63 years, female, black or african american, alive, 360 days
58.4
TCGA-23-2078-01A
66 years, female, white, alive, 2661 days
58.4
TCGA-04-1651-01A
53 years, female, white, dead, 1102 days
58.3
TCGA-13-1495-01A
60 years, female, white, dead, 2749 days
58.3
TCGA-24-1553-01A
53 years, female, white, dead, 1767 days
58.2
TCGA-24-1416-01A
34 years, female, white, alive, 194 days
58.0
TCGA-59-A5PD-01A
55 years, female, black or african american, dead, 624 days
57.8
TCGA-36-1571-01A
53 years, female, white, dead, 695 days
57.7
TCGA-24-1104-01A
56 years, female, white, dead, 1933 days
57.7
TCGA-09-0369-01A
56 years, female, white, dead, 1082 days
57.5
TCGA-61-1737-01A
42 years, female, white, alive, 1364 days
57.1
TCGA-61-2110-01A
56 years, female, white, dead, 1354 days
56.9
TCGA-36-1568-01A
52 years, female, alive, 875 days
56.7
TCGA-13-1505-01A
63 years, female, white, alive, 1998 days
56.7
TCGA-13-0923-01A
74 years, female, white, alive, 2547 days
56.5
TCGA-04-1514-01A
45 years, female, white, dead, 1720 days
56.4
TCGA-24-1103-01A
50 years, female, black or african american, dead, 1646 days
56.4
TCGA-04-1356-01A
62 years, female, white, dead, 1499 days
56.3
TCGA-24-1474-01A
57 years, female, black or african american, dead, 676 days
56.3
TCGA-24-0979-01A
53 years, female, white, dead, 1264 days
55.3
TCGA-25-2399-01A
80 years, female, white, dead, 608 days
54.8
TCGA-13-0886-01A
67 years, female, white, alive, 4665 days
54.7
TCGA-59-2354-01A
female, white, dead, 1046 days
53.9
TCGA-61-2098-01A
62 years, female, white, alive, 1993 days
53.7
TCGA-09-1670-01A
57 years, female, white, alive, 547 days
53.2
TCGA-61-1910-01A
56 years, female, white, alive, 1127 days
53.1
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, dead, 547 days
53.0
TCGA-36-1580-01A
82 years, female, dead, 737 days
52.8
TCGA-25-1316-01A
55 years, female, white, dead, 1279 days
52.7
TCGA-13-0797-01A
49 years, female, white, alive, 2121 days
52.6
TCGA-09-1668-01B
57 years, female, white, alive, 1684 days
52.5
TCGA-23-1027-01A
48 years, female, white, dead, 976 days
52.4
TCGA-24-1846-01A
45 years, female, alive, 133 days
52.3
TCGA-13-0765-01A
50 years, female, white, dead, 1389 days
51.9
TCGA-61-1900-01A
51 years, female, black or african american, alive, 176 days
51.6
TCGA-13-1483-01A
61 years, female, white, dead, 895 days
51.5
TCGA-29-1783-01A
58 years, female, white, alive, 220 days
51.5
TCGA-24-1418-01A
68 years, female, white, alive, 243 days
51.3
TCGA-13-0891-01A
73 years, female, white, dead, 3128 days
51.3
TCGA-13-0916-01A
49 years, female, white, alive, 1785 days
51.0
TCGA-13-1512-01A
49 years, female, white, alive, 442 days
50.6
TCGA-25-1634-01A
76 years, female, white, dead, 1091 days
50.6
TCGA-23-1114-01B
55 years, female, white, dead, 2089 days
50.5
TCGA-13-0800-01A
52 years, female, white, alive, 2661 days
50.0
TCGA-09-2053-01C
72 years, female, white, alive, 1209 days
50.0
TCGA-61-1728-01A
59 years, female, white, alive, 848 days
49.8
TCGA-24-0970-01B
63 years, female, white, dead, 354 days
49.5
TCGA-13-0730-01A
71 years, female, white, dead, 542 days
49.0
TCGA-20-1683-01A
65 years, female, white, alive, 772 days
48.9
TCGA-13-1506-01A
45 years, female, white, dead, 1039 days
48.8
TCGA-24-1419-01A
62 years, female, white, alive, 239 days
48.7
TCGA-04-1519-01A
48 years, female, alive, 24 days
48.5
TCGA-29-A5NZ-01A
66 years, female, black or african american, dead, 1088 days
48.5
TCGA-13-0897-01A
54 years, female, white, dead, 2182 days
48.4
TCGA-61-1733-01A
71 years, female, white, alive, 967 days
48.4
TCGA-20-1687-01A
46 years, female, white, alive, 81 days
47.9
TCGA-24-1471-01A
60 years, female, white, alive, 36 days
47.5
TCGA-10-0938-01A
80 years, female, white, dead, 636 days
47.5
TCGA-24-1928-01A
77 years, female, white, dead, 336 days
47.2
TCGA-36-1576-01A
76 years, female, alive, 915 days
46.9
TCGA-13-0795-01A
66 years, female, white, dead, 619 days
46.9
TCGA-25-1320-01A
65 years, female, white, dead, 1155 days
46.9
TCGA-13-1488-01A
59 years, female, white, dead, 2154 days
46.8
TCGA-24-2280-01A
74 years, female, white, alive, 2143 days
46.7
TCGA-29-1762-01A
59 years, female, white, dead, 2634 days
46.3
TCGA-25-1317-01A
66 years, female, white, dead, 61 days
46.1
TCGA-59-2351-01A
female, white, alive, 3532 days
46.1
TCGA-13-0906-01A
50 years, female, white, alive, 3619 days
45.9
TCGA-29-2414-01A
75 years, female, white, dead, 2621 days
45.7
TCGA-09-0364-01A
80 years, female, white, dead, 887 days
45.6
TCGA-09-1666-01A
57 years, female, white, alive, 1752 days
45.4
TCGA-24-0966-01A
78 years, female, black or african american, alive, 232 days
45.3
TCGA-24-2020-01A
67 years, female, white, dead, 4624 days
45.1
TCGA-04-1338-01A
78 years, female, white, alive, 1418 days
45.0
TCGA-25-1315-01A
50 years, female, white, dead, 1583 days
44.9
TCGA-24-1603-01A
53 years, female, white, dead, 2742 days
44.9
TCGA-13-1404-01A
48 years, female, white, alive, 2469 days
44.5
TCGA-10-0928-01A
71 years, female, white, dead, 563 days
44.5
TCGA-24-2281-01A
68 years, female, white, alive, 1357 days
44.2
TCGA-13-0887-01A
42 years, female, white, dead, 2028 days
44.2
TCGA-61-2009-01A
65 years, female, white, alive, 1212 days
43.9
TCGA-23-1809-01A
63 years, female, white, alive, 16 days
43.7
TCGA-13-1487-01A
74 years, female, white, dead, 681 days
43.6
TCGA-25-2392-01A
75 years, female, white, dead, 31 days
43.3
TCGA-61-1721-01A
38 years, female, white, alive, 338 days
42.7
TCGA-25-1319-01A
73 years, female, white, dead, 1977 days
42.7
TCGA-WR-A838-01A
72 years, female, black or african american, dead, 304 days
42.5
TCGA-61-2111-01A
61 years, female, white, alive, 3825 days
42.3
TCGA-59-2363-01A
female, asian, alive, 165 days
42.2
TCGA-24-1424-01A
67 years, female, white, alive, 183 days
42.1
TCGA-24-1560-01A
51 years, female, white, dead, 1341 days
41.7
TCGA-09-1673-01A
50 years, female, white, alive, 92 days
41.7
TCGA-61-2000-01A
67 years, female, white, alive, 441 days
41.5
TCGA-23-1123-01A
59 years, female, white, dead, 1018 days
41.3
TCGA-29-1693-01A
72 years, female, white, alive, 3096 days
40.9
TCGA-24-1558-01A
73 years, female, white, dead, 594 days
40.6
TCGA-13-0884-01B
39 years, female, white, dead, 3260 days
39.7
TCGA-09-2056-01B
62 years, female, white, alive, 379 days
39.6
TCGA-25-2398-01A
71 years, female, white, dead, 1369 days
39.5
TCGA-13-0924-01A
45 years, female, white, alive, 2614 days
39.3
TCGA-04-1365-01A
87 years, female, white, alive, 2329 days
39.2
TCGA-04-1361-01A
57 years, female, white, alive, 989 days
39.1
TCGA-13-0725-01A
44 years, female, white, dead, 377 days
38.9
TCGA-09-1669-01A
54 years, female, white, alive, 928 days
38.9
TCGA-29-1688-01A
39 years, female, white, dead, 2400 days
38.4
TCGA-24-1464-01A
70 years, female, white, dead, 379 days
38.3
TCGA-61-1919-01A
58 years, female, white, dead, 1161 days
38.1
TCGA-13-1510-01A
62 years, female, white, dead, 1359 days
38.1
TCGA-25-1323-01A
72 years, female, white, dead, 395 days
37.1
TCGA-04-1536-01A
60 years, female, black or african american, dead, 885 days
37.1
TCGA-13-0900-01B
59 years, female, white, alive, 4077 days
37.1
TCGA-30-1862-01A
65 years, female, white, dead, 186 days
36.9
TCGA-24-1923-01A
51 years, female, white, dead, 690 days
36.7
TCGA-36-1577-01A
43 years, female, asian, alive, 783 days
36.3
TCGA-09-1665-01B
74 years, female, white, dead, 1266 days
36.1
TCGA-10-0937-01A
44 years, female, white, dead, 608 days
36.1
TCGA-29-1703-01A
56 years, female, black or african american, dead, 1815 days
36.1
TCGA-57-1583-01A
57 years, female, black or african american, dead, 346 days
35.4
TCGA-13-0905-01B
51 years, female, white, alive, 3746 days
34.6
TCGA-29-1769-01A
40 years, female, white, alive, 699 days
34.5
TCGA-04-1350-01A
46 years, female, white, dead, 1946 days
33.7
TCGA-61-1907-01A
63 years, female, white, alive, 952 days
33.7
TCGA-30-1892-01A
52 years, female, white, dead, 1484 days
33.6
TCGA-13-1499-01A
56 years, female, white, alive, 3500 days
33.2
TCGA-23-1118-01A
45 years, female, white, alive, 2616 days
33.0
TCGA-10-0931-01A
44 years, female, white, dead, 1000 days
32.9
TCGA-13-1501-01A
50 years, female, white, dead, 1314 days
32.9
TCGA-23-1116-01A
83 years, female, white, dead, 592 days
32.6
TCGA-13-0804-01A
74 years, female, white, dead, 1073 days
32.1
TCGA-13-1407-01A
51 years, female, white, alive, 2534 days
32.0
TCGA-23-1119-01A
64 years, female, white, alive, 3953 days
31.6
TCGA-13-0768-01A
73 years, female, white, dead, 1784 days
31.5
TCGA-04-1655-01A
49 years, female, white, dead, 1380 days
31.3
TCGA-13-0885-01A
70 years, female, white, alive, 3388 days
31.0
TCGA-29-1778-01A
77 years, female, white, alive, 454 days
31.0
TCGA-29-1691-01A
51 years, female, white, dead, 1470 days
30.7
TCGA-13-0920-01A
65 years, female, white, dead, 1484 days
30.4
TCGA-13-1496-01A
65 years, female, white, dead, 129 days
30.3
TCGA-29-1781-01A
69 years, female, white, alive, 255 days
30.1
TCGA-04-1364-01A
61 years, female, white, dead, 1024 days
30.1
TCGA-04-1341-01A
85 years, female, white, alive, 33 days
29.8
TCGA-04-1542-01A
52 years, female, white, dead, 2561 days
29.8
TCGA-24-1924-01A
65 years, female, white, dead, 919 days
29.5
TCGA-23-1021-01B
45 years, female, white, dead, 1446 days
29.4
TCGA-13-2060-01A
51 years, female, white, alive, 2369 days
29.4
TCGA-24-0982-01A
77 years, female, white, dead, 679 days
29.4
TCGA-24-0968-01A
59 years, female, white, dead, 598 days
29.3
TCGA-09-1667-01C
61 years, female, white, alive, 1882 days
28.3
TCGA-30-1718-01A
44 years, female, white, dead, 1579 days
28.0
TCGA-29-1696-01A
43 years, female, white, dead, 1032 days
27.8
TCGA-25-1623-01A
71 years, female, white, dead, 565 days
27.7
TCGA-25-2400-01A
76 years, female, white, dead, 1278 days
27.5
TCGA-61-2101-01A
55 years, female, white, dead, 1688 days
27.3
TCGA-23-1028-01A
43 years, female, white, alive, 1503 days
27.0
TCGA-09-1659-01B
51 years, female, white, dead, 304 days
26.8
TCGA-30-1866-01A
61 years, female, white, dead, 1114 days
26.7
TCGA-09-2044-01B
77 years, female, asian, alive, 186 days
26.2
TCGA-24-2033-01A
87 years, female, white, dead, 562 days
26.1
TCGA-24-1850-01A
72 years, female, white, alive, 168 days
25.7
TCGA-61-1914-01A
65 years, female, alive, 1722 days
25.3
TCGA-61-1725-01A
40 years, female, white, alive, 956 days
25.0
TCGA-13-0766-01A
42 years, female, white, dead, 1725 days
24.9
TCGA-25-2393-01A
81 years, female, white, dead, 1157 days
24.7
TCGA-13-1497-01A
48 years, female, white, alive, 3871 days
24.6
TCGA-13-1409-01A
73 years, female, white, dead, 1742 days
24.0
TCGA-10-0927-01A
65 years, female, dead, 2490 days
24.0
TCGA-29-2425-01A
60 years, female, white, alive, 1977 days
23.9
TCGA-23-1107-01A
59 years, female, white, dead, 9 days
23.4
TCGA-09-1661-01B
75 years, female, white, dead, 1169 days
23.3
TCGA-20-0991-01A
78 years, female, white, alive, 797 days
22.6
TCGA-13-1509-01A
64 years, female, white, alive, 2438 days
21.5
TCGA-29-1777-01A
47 years, female, white, alive, 374 days
21.3
TCGA-29-1701-01A
56 years, female, white, dead, 515 days
21.1
TCGA-29-1766-01A
74 years, female, white, dead, 1199 days
20.9
TCGA-13-0888-01A
78 years, female, white, dead, 2811 days
20.7
TCGA-09-2048-01A
63 years, female, white, dead, 138 days
20.6
TCGA-10-0933-01A
77 years, female, white, dead, 446 days
20.4
TCGA-29-1768-01A
50 years, female, white, dead, 952 days
19.2
TCGA-30-1853-01A
58 years, female, white, dead, 1103 days
18.7
TCGA-04-1347-01A
81 years, female, white, alive, 1919 days
18.6
TCGA-20-1686-01A
75 years, female, white, alive, 89 days
17.6
TCGA-25-1877-01A
81 years, female, white, dead, 730 days
17.1
TCGA-29-1774-01A
82 years, female, white, alive, 527 days
15.1
TCGA-13-1507-01A
77 years, female, white, dead, 1993 days
14.9
TCGA-30-1714-01A
68 years, female, white, dead, 1158 days
13.0
TCGA-13-1498-01A
73 years, female, white, dead, 2012 days
12.1
TCGA-29-1761-01A
80 years, female, asian, dead, 528 days
10.7
TCGA-23-1022-01A
67 years, female, white, dead, 1511 days
7.8
TCGA-13-0901-01B
42 years, female, asian, alive, 589 days
6.9
Show all
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
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).
The Human Protein Atlas project is funded
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