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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.
MT-CO1 is not prognostic in Ovary Serous Cystadenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
15926.2
Number of samples
349
Samples
Sample
Description
TPM
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
39651.0
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
39134.4
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
35997.6
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
33667.5
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
33345.0
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
33261.6
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
32625.9
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
31898.6
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
31823.3
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
30570.4
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
30207.1
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
29903.7
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
29717.8
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
29604.5
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
28831.1
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
28559.8
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
28480.6
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
28013.5
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
27934.0
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
27907.1
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
27824.6
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
27796.4
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
27020.1
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
26983.9
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
26830.6
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
26678.5
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
26631.8
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
26523.5
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
26456.4
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
26413.8
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
26302.1
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
25146.1
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
25137.1
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
24844.4
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
24840.1
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
24691.4
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
24624.3
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
24533.1
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
24490.7
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
24487.9
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
24454.4
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
24355.7
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
24309.0
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
24205.0
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
24137.8
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
24073.8
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
24033.1
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
24027.8
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
23890.4
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
23869.2
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
23670.0
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
23550.7
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
23426.3
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
23348.7
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
23348.1
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
23162.9
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
23140.4
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
23039.0
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
22964.5
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
22884.6
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
22851.8
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
22833.6
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
22609.4
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
22490.0
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
22476.5
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
22431.1
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
22236.0
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
22067.7
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
21965.2
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
21849.9
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
21825.8
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
21488.9
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
21414.2
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
21404.7
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
21329.9
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
21212.8
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
21200.7
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
20984.4
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
20839.5
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
20760.5
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
20686.3
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
20556.0
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
20418.5
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
20231.3
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
20182.5
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
19978.4
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
19909.1
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
19854.2
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
19824.3
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
19786.7
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
19727.7
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
19709.0
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
19696.7
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
19564.9
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
19476.8
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
19404.2
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
19381.8
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
19336.5
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
19262.5
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
19179.9
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
19133.3
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
18937.6
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
18846.6
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
18776.8
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
18716.9
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
18641.1
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
18565.5
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
18481.0
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
18460.5
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
18452.3
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
18388.4
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
18306.5
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
18147.7
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
18146.5
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
18142.4
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
18032.5
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
18023.7
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
18022.6
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
18001.7
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
17872.5
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
17840.8
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
17835.7
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
17795.0
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
17751.4
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
17688.5
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
17631.9
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
17547.4
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
17546.9
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
17509.3
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
17422.3
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
17409.8
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
17312.2
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
17293.8
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
17231.7
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
17185.1
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
17180.5
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
17131.3
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
17124.9
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
17086.9
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
17019.8
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
17007.7
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
16991.8
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
16968.1
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
16869.7
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
16821.8
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
16779.4
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
16755.2
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
16679.2
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
16560.2
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
16465.5
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
16289.9
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
16249.7
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
16237.2
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
16161.2
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
16147.7
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
16109.7
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
16095.5
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
15986.0
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
15917.8
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
15899.1
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
15878.0
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
15845.6
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
15820.6
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
15788.5
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
15581.5
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
15573.6
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
15551.5
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
15537.5
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
15513.7
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
15469.1
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
15426.2
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
15407.6
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
15360.4
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
15341.6
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
15280.9
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
15207.2
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
15090.1
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
15061.9
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
14916.1
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
14909.3
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
14854.7
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
14738.3
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
14677.4
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
14615.3
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
14551.5
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
14383.8
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
14366.1
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
14365.9
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
14334.9
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
14224.8
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
14204.9
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
14158.0
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
14155.6
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
14130.2
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
14122.7
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
13982.6
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
13965.9
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
13830.9
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
13825.7
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
13798.3
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
13591.1
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
13482.9
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
13355.8
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
13339.3
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
13303.5
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
13212.0
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
13181.9
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
13140.7
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
13039.3
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
12954.2
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
12885.5
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
12793.6
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
12789.5
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
12678.3
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
12648.0
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
12643.1
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
12616.6
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
12550.8
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
12510.6
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
12492.5
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
12455.5
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
12399.8
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
12392.0
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
12341.2
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
12340.5
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
12284.9
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
12273.8
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
12271.3
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
12266.2
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
12258.0
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
12238.2
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
12220.8
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
12219.4
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
12201.5
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
12185.0
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
12084.2
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
12000.9
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
11989.0
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
11943.9
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
11850.3
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
11847.0
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
11797.2
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
11763.9
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
11737.6
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
11724.0
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
11722.9
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
11676.9
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
11584.6
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
11518.0
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
11517.8
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
11489.0
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
11481.8
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
11429.1
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
11420.6
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
11416.3
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
11346.8
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
11344.1
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
11340.0
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
11321.4
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
11312.9
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
11237.8
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
11097.9
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
11035.7
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
10920.9
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
10904.3
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
10881.3
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
10861.8
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
10825.7
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
10754.8
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
10674.0
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
10639.4
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
10474.2
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
10437.3
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
10428.1
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
10426.4
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
10276.3
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
10222.5
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
10203.4
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
10144.3
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
10136.4
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
10118.3
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
9960.5
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
9955.8
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
9812.8
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
9712.0
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
9641.6
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
9556.4
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
9527.6
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
9509.2
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
9480.7
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
9451.9
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
9424.4
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
9327.2
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
9321.7
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
9313.4
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
9189.7
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
9175.5
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
9064.0
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
8996.4
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
8988.1
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
8931.3
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
8925.3
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
8884.7
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
8753.0
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
8752.1
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
8511.8
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
8489.1
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
8485.8
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
8303.4
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
8188.6
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
8133.4
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
8095.1
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
7829.3
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
7721.8
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
7710.7
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
7348.2
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
7239.4
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
7169.7
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
7137.8
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
7025.8
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
6975.7
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
6947.0
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
6923.6
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
6824.3
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
6680.8
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
6615.4
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
6450.6
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
6432.6
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
6355.5
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
6248.9
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
6203.3
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
6199.8
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
6174.1
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
6110.0
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
6067.0
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
6042.8
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
5966.8
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
5822.9
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
5641.3
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
5449.0
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
5176.3
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
5146.6
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
4993.7
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
4964.2
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
4835.6
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
3961.3
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
3801.5
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
3363.5
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 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.
MT-CO1 is not prognostic in Ovary Serous Cystadenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
15812.5
Number of samples
81
Samples
Sample
Description
TPM
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
78980.5
DO46400
70 years, female, NA, stage:III, dead, 719 days
46258.3
DO46396
64 years, female, NA, stage:III, dead, 583 days
39718.0
DO46546
73 years, female, NA, stage:III, dead, 1889 days
37019.7
DO46518
62 years, female, NA, stage:III, alive, 2960 days
36677.2
DO46408
56 years, female, NA, stage:III, dead, 489 days
36026.9
DO46325
54 years, female, NA, stage:III, dead, 477 days
24311.6
DO46398
66 years, female, NA, stage:III, alive, 437 days
23141.6
DO46329
52 years, female, NA, stage:III, dead, 1699 days
21820.5
DO46374
69 years, female, NA, stage:III, dead, 1409 days
21727.3
DO46334
77 years, female, NA, stage:III, dead, 496 days
21690.1
DO46372
39 years, female, NA, stage:III, dead, 1326 days
21673.6
DO46382
62 years, female, NA, stage:IV, dead, 311 days
21592.2
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
20775.8
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
20398.6
DO46468
67 years, female, NA, stage:III, alive, 2776 days
20249.6
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
19680.8
DO46404
55 years, female, NA, stage:III, dead, 690 days
18988.4
DO46566
78 years, female, NA, stage:III, dead, 673 days
18603.9
DO46551
58 years, female, NA, stage:III, dead, 1055 days
18601.2
DO46331
72 years, female, NA, stage:III, dead, 612 days
18515.3
DO46378
59 years, female, NA, stage:III, alive, 843 days
17835.4
DO46358
60 years, female, NA, stage:III, dead, 423 days
16867.1
DO46336
70 years, female, NA, stage:IV, dead, 664 days
16830.8
DO46340
62 years, female, NA, stage:III, dead, 616 days
16499.2
DO46342
67 years, female, NA, stage:III, dead, 1398 days
16189.5
DO46436
58 years, female, NA, stage:III, alive, 3193 days
16176.7
DO46330
60 years, female, NA, stage:III, dead, 684 days
16055.9
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
15915.6
DO46538
57 years, female, NA, stage:III, dead, 1527 days
15912.6
DO46443
59 years, female, NA, stage:III, dead, 2464 days
15701.8
DO46528
56 years, female, NA, stage:III, alive, 6139 days
15645.5
DO46327
54 years, female, NA, stage:III, dead, 184 days
15387.3
DO46571
61 years, female, NA, stage:III, dead, 243 days
15271.0
DO46561
52 years, female, NA, stage:III, dead, 195 days
15201.0
DO46597
60 years, female, NA, stage:III, dead, 393 days
14984.8
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
14949.6
DO46344
46 years, female, NA, stage:III, dead, 642 days
14697.1
DO46588
74 years, female, NA, stage:III, dead, 438 days
14373.1
DO46354
73 years, female, NA, stage:III, dead, 843 days
14318.7
DO46386
49 years, female, NA, stage:III, dead, 1162 days
13916.9
DO46463
49 years, female, NA, stage:III, dead, 2451 days
13910.5
DO46348
58 years, female, NA, stage:IV, dead, 287 days
13762.4
DO46326
51 years, female, NA, stage:III, dead, 701 days
13516.1
DO46493
62 years, female, NA, stage:IV, alive, 839 days
13136.6
DO46560
45 years, female, NA, stage:IV, dead, 286 days
13045.1
DO46602
74 years, female, NA, stage:III, dead, 205 days
12805.0
DO46412
64 years, female, NA, stage:III, dead, 597 days
12431.1
DO46346
54 years, female, NA, stage:III, dead, 1187 days
12378.2
DO46368
57 years, female, NA, stage:III, dead, 2879 days
12051.3
DO46364
45 years, female, NA, stage:III, dead, 806 days
11798.9
DO46533
46 years, female, NA, stage:III, alive, 3667 days
11753.3
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
11491.7
DO46508
50 years, female, NA, stage:III, dead, 2101 days
11436.6
DO46332
56 years, female, NA, stage:III, dead, 689 days
11411.1
DO46362
61 years, female, NA, stage:III, dead, 1639 days
11397.6
DO46370
54 years, female, NA, stage:III, dead, 1727 days
10990.1
DO46392
48 years, female, NA, stage:III, dead, 628 days
10573.4
DO46606
73 years, female, NA, stage:III, alive, 804 days
10055.0
DO46448
45 years, female, NA, stage:III, dead, 654 days
9706.8
DO46376
58 years, female, NA, stage:III, dead, 1430 days
9459.4
DO46402
77 years, female, NA, stage:III, dead, 511 days
9306.2
DO46328
52 years, female, NA, stage:III, dead, 972 days
9177.9
DO46338
59 years, female, NA, stage:III, dead, 596 days
8868.6
DO46352
60 years, female, NA, stage:III, dead, 677 days
8849.3
DO46568
66 years, female, NA, stage:III, dead, 320 days
8846.0
DO46384
55 years, female, NA, stage:III, dead, 614 days
8783.1
DO46350
66 years, female, NA, stage:III, dead, 886 days
8453.2
DO46366
65 years, female, NA, stage:III, dead, 2054 days
8196.1
DO46586
55 years, female, NA, stage:III, dead, 1019 days
8147.2
DO46390
65 years, female, NA, stage:III, dead, 374 days
8038.2
DO46432
56 years, female, NA, stage:III, alive, 2218 days
7607.3
DO46388
74 years, female, NA, stage:III, dead, 413 days
7564.8
DO46576
75 years, female, NA, stage:III, alive, 133 days
7413.5
DO46581
66 years, female, NA, stage:III, dead, 408 days
7263.7
DO46333
58 years, female, NA, stage:III, dead, 359 days
6068.9
DO46380
51 years, female, NA, stage:III, dead, 1423 days
5994.7
DO46611
52 years, female, NA, stage:III, dead, 734 days
4951.4
DO46356
68 years, female, NA, stage:III, dead, 911 days
4461.5
DO46591
58 years, female, NA, stage:III, dead, 195 days
3275.5
DO46453
66 years, female, NA, stage:III, dead, 3294 days
3253.0
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
N/A
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
N/A
21efd60f-6a31-4b98-9477-16a905_D2
Normal
N/A
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
N/A
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
N/A
285fed94-1495-448e-879b-b55de9_D2
Tumor
N/A
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
N/A
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
N/A
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
N/A
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
N/A
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
N/A
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
N/A
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
N/A
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
N/A
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
N/A
2f901c90-617e-46da-9fac-d68369_D2
Tumor
N/A
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
N/A
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
N/A
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
N/A
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
N/A
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
N/A
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
N/A
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
N/A
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
N/A
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
N/A
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
N/A
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
N/A
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
N/A
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
N/A
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
N/A
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
N/A
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
N/A
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
N/A
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
N/A
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
N/A
1772e913-f62e-446a-8cf3-720348_D2
Tumor
N/A
e9d416e7-f661-400a-896e-388545_D2
Tumor
N/A
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
N/A
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
N/A
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
N/A
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
N/A
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
N/A
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
N/A
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
N/A
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
N/A
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
N/A
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
N/A
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
N/A
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
N/A
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
N/A
10c2d629-0287-4511-ac25-f29031_D2
Tumor
N/A
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
N/A
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
N/A
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
N/A
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
N/A
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
N/A
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
N/A
340a3769-3031-41ae-bb08-a2f696_D2
Normal
N/A
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
N/A
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
N/A
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
N/A
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
N/A
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
N/A
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
N/A
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
N/A
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
N/A
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
N/A
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
N/A
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
N/A
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
N/A
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
N/A
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
N/A
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
N/A
15524912-685a-47ce-a824-567848_D2
Tumor
N/A
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
N/A
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
N/A
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
N/A
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
N/A
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
N/A
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
N/A
a3a26070-fb84-406a-8280-d555e6_D2
Normal
N/A
161317f3-1a39-438e-af45-cd2502_D2
Tumor
N/A
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
N/A
1db5574d-aca7-403c-8100-6e705f_D2
Normal
N/A
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
N/A
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
N/A
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
N/A
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
N/A
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
N/A
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
N/A
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
N/A
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
N/A
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
N/A
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
N/A
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
N/A
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
N/A
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
N/A
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
N/A
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
N/A
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
N/A
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
N/A
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
N/A
a65d8e76-640f-4341-a561-afbb57_D2
Normal
N/A
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
N/A
1a10c200-3895-4648-b951-94f99f_D2
Tumor
N/A
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
N/A
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
N/A
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
N/A
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.