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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-ND1 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
12132.5
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
49386.7
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
37724.4
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
34097.2
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
33997.4
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
33095.1
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
31071.9
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
30376.9
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
29120.0
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
28392.2
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
28206.5
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
28059.5
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
26911.5
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
26891.7
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
26357.8
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
25750.4
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
25385.5
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
25275.5
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
25096.2
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
23909.6
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
23553.7
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
23453.3
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
23435.5
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
23223.9
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
22848.7
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
22607.8
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
22447.0
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
22409.3
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
22361.9
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
22314.2
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
21968.6
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
21794.4
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
21694.4
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
21651.8
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
21490.5
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
21365.7
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
21304.8
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
20951.3
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
20859.7
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
20762.5
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
20736.1
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
20686.8
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
20441.6
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
20060.8
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
19859.9
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
19759.4
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
19639.7
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
19448.8
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
19232.1
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
19219.0
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
19180.0
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
19116.9
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
19109.1
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
18936.7
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
18863.7
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
18828.3
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
18827.8
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
18718.9
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
18688.3
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
18527.1
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
18447.7
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
18194.4
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
17954.0
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
17941.6
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
17905.0
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
17573.0
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
17572.7
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
17510.8
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
17165.4
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
16991.4
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
16955.9
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
16795.5
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
16560.9
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
16523.4
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
16518.8
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
16506.5
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
16484.6
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
16436.1
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
16379.3
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
16340.9
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
16300.1
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
16194.3
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
16164.0
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
16161.9
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
16055.4
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
16045.0
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
15827.9
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
15767.5
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
15756.4
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
15597.0
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
15520.6
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
15464.1
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
15400.0
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
15310.8
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
15102.8
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
15080.9
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
14975.8
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
14961.3
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
14793.1
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
14752.4
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
14663.6
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
14641.3
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
14624.9
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
14618.5
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
14577.9
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
14401.3
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
14294.8
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
14274.5
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
14262.7
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
14136.5
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
14117.8
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
14051.8
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
14003.3
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
13997.9
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
13988.1
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
13944.2
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
13939.1
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
13927.6
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
13897.5
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
13882.4
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
13851.5
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
13690.1
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
13658.0
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
13479.3
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
13350.4
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
13335.4
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
13235.4
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
13204.9
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
13111.7
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
12998.2
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
12910.7
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
12744.5
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
12733.5
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
12688.7
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
12671.3
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
12639.1
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
12619.6
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
12512.0
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
12346.7
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
12332.1
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
12279.1
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
12278.8
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
12268.5
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
12188.3
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
12132.5
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
12069.5
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
11909.7
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
11893.1
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
11861.3
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
11775.1
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
11771.7
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
11757.5
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
11710.9
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
11653.0
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
11642.0
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
11600.0
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
11595.8
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
11538.2
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
11514.0
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
11503.1
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
11481.9
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
11468.3
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
11430.7
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
11374.1
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
11247.1
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
11246.4
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
11208.5
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
11157.7
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
11156.8
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
11119.0
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
11008.5
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
10990.0
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
10982.5
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
10758.3
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
10696.6
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
10674.1
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
10604.3
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
10519.6
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
10448.7
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
10429.4
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
10413.8
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
10360.7
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
10360.7
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
10264.7
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
10184.1
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
10017.8
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
10012.6
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
9994.5
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
9993.5
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
9977.6
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
9973.5
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
9960.2
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
9925.2
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
9919.2
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
9883.3
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
9784.4
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
9745.3
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
9716.7
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
9701.6
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
9548.0
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
9459.9
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
9456.6
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
9422.8
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
9418.4
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
9415.8
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
9413.8
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
9395.9
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
9383.1
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
9368.0
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
9270.9
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
9147.3
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
9077.5
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
9048.8
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
9028.2
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
9025.1
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
8911.7
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
8906.4
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
8740.4
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
8686.5
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
8672.6
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
8663.5
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
8660.8
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
8660.3
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
8636.9
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
8598.9
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
8562.0
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
8553.7
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
8546.4
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
8534.4
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
8531.8
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
8519.7
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
8515.5
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
8488.6
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
8464.1
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
8430.7
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
8392.6
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
8313.2
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
8276.6
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
8232.0
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
8192.9
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
8099.4
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
8025.4
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
7985.8
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
7966.6
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
7953.4
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
7946.7
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
7873.4
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
7849.3
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
7771.1
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
7716.4
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
7658.6
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
7561.8
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
7500.2
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
7496.9
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
7462.6
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
7441.5
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
7325.9
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
7311.1
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
7306.3
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
7275.1
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
7228.4
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
7202.2
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
7165.0
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
7154.6
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
7130.1
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
7058.0
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
7018.6
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
6965.9
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
6958.1
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
6912.9
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
6908.9
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
6903.1
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
6819.8
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
6762.6
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
6758.4
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
6749.2
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
6748.4
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
6683.4
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
6664.2
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
6556.8
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
6484.9
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
6466.5
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
6464.0
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
6412.1
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
6402.0
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
6369.8
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
6328.2
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
6324.6
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
6319.7
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
6304.2
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
6287.6
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
6246.9
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
6214.9
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
6207.8
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
6155.7
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
6040.8
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
6030.6
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
6018.4
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
5969.5
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
5935.3
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
5929.2
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
5792.9
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
5780.3
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
5760.5
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
5725.2
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
5719.5
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
5688.3
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
5622.6
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
5550.3
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
5464.7
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
5426.8
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
5278.7
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
5246.1
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
5203.9
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
5171.1
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
5086.6
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
5024.4
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
4998.2
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
4873.7
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
4833.3
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
4827.5
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
4684.2
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
4640.2
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
4611.6
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
4469.1
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
4255.9
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
4223.2
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
4202.5
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
4166.8
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
4025.8
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
3835.4
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
3756.3
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
3705.7
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
3537.2
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
3509.9
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
3490.5
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
3406.9
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
3327.6
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
2978.4
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
2875.0
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
2816.0
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
2722.8
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
2469.9
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
2434.9
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
2399.9
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
2238.8
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
2222.6
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
2195.6
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
1904.4
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 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-ND1 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
4982.0
Number of samples
81
Samples
Sample
Description
pTPM
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
20369.1
DO46331
72 years, female, NA, stage:III, dead, 612 days
17709.9
DO46400
70 years, female, NA, stage:III, dead, 719 days
16222.2
DO46546
73 years, female, NA, stage:III, dead, 1889 days
13211.0
DO46518
62 years, female, NA, stage:III, alive, 2960 days
11694.5
DO46329
52 years, female, NA, stage:III, dead, 1699 days
10877.1
DO46342
67 years, female, NA, stage:III, dead, 1398 days
10823.2
DO46408
56 years, female, NA, stage:III, dead, 489 days
9840.1
DO46528
56 years, female, NA, stage:III, alive, 6139 days
8789.3
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
8411.7
DO46382
62 years, female, NA, stage:IV, dead, 311 days
8261.7
DO46597
60 years, female, NA, stage:III, dead, 393 days
7349.7
DO46468
67 years, female, NA, stage:III, alive, 2776 days
6990.7
DO46561
52 years, female, NA, stage:III, dead, 195 days
6784.7
DO46378
59 years, female, NA, stage:III, alive, 843 days
6691.7
DO46328
52 years, female, NA, stage:III, dead, 972 days
6470.0
DO46372
39 years, female, NA, stage:III, dead, 1326 days
6370.2
DO46551
58 years, female, NA, stage:III, dead, 1055 days
6353.8
DO46348
58 years, female, NA, stage:IV, dead, 287 days
6231.6
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
6004.9
DO46336
70 years, female, NA, stage:IV, dead, 664 days
5713.4
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
5481.0
DO46350
66 years, female, NA, stage:III, dead, 886 days
5476.4
DO46334
77 years, female, NA, stage:III, dead, 496 days
5453.6
DO46463
49 years, female, NA, stage:III, dead, 2451 days
5291.0
DO46362
61 years, female, NA, stage:III, dead, 1639 days
5259.1
DO46333
58 years, female, NA, stage:III, dead, 359 days
5122.4
DO46606
73 years, female, NA, stage:III, alive, 804 days
4992.0
DO46586
55 years, female, NA, stage:III, dead, 1019 days
4949.8
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
4908.9
DO46325
54 years, female, NA, stage:III, dead, 477 days
4898.8
DO46370
54 years, female, NA, stage:III, dead, 1727 days
4870.8
DO46390
65 years, female, NA, stage:III, dead, 374 days
4681.2
DO46588
74 years, female, NA, stage:III, dead, 438 days
4669.3
DO46396
64 years, female, NA, stage:III, dead, 583 days
4662.9
DO46364
45 years, female, NA, stage:III, dead, 806 days
4566.6
DO46384
55 years, female, NA, stage:III, dead, 614 days
4552.8
DO46404
55 years, female, NA, stage:III, dead, 690 days
4497.3
DO46566
78 years, female, NA, stage:III, dead, 673 days
4494.1
DO46602
74 years, female, NA, stage:III, dead, 205 days
4260.5
DO46330
60 years, female, NA, stage:III, dead, 684 days
4218.0
DO46374
69 years, female, NA, stage:III, dead, 1409 days
4070.6
DO46346
54 years, female, NA, stage:III, dead, 1187 days
3919.9
DO46344
46 years, female, NA, stage:III, dead, 642 days
3875.4
DO46538
57 years, female, NA, stage:III, dead, 1527 days
3622.5
DO46392
48 years, female, NA, stage:III, dead, 628 days
3618.8
DO46571
61 years, female, NA, stage:III, dead, 243 days
3556.8
DO46398
66 years, female, NA, stage:III, alive, 437 days
3341.3
DO46443
59 years, female, NA, stage:III, dead, 2464 days
3334.4
DO46340
62 years, female, NA, stage:III, dead, 616 days
3251.2
DO46402
77 years, female, NA, stage:III, dead, 511 days
3053.1
DO46326
51 years, female, NA, stage:III, dead, 701 days
2982.5
DO46327
54 years, female, NA, stage:III, dead, 184 days
2961.7
DO46560
45 years, female, NA, stage:IV, dead, 286 days
2959.4
DO46358
60 years, female, NA, stage:III, dead, 423 days
2958.1
DO46581
66 years, female, NA, stage:III, dead, 408 days
2951.3
DO46611
52 years, female, NA, stage:III, dead, 734 days
2923.9
DO46368
57 years, female, NA, stage:III, dead, 2879 days
2893.6
DO46432
56 years, female, NA, stage:III, alive, 2218 days
2673.6
DO46448
45 years, female, NA, stage:III, dead, 654 days
2633.2
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
2624.4
DO46356
68 years, female, NA, stage:III, dead, 911 days
2552.7
DO46332
56 years, female, NA, stage:III, dead, 689 days
2518.7
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
2448.4
DO46436
58 years, female, NA, stage:III, alive, 3193 days
2437.7
DO46576
75 years, female, NA, stage:III, alive, 133 days
2392.6
DO46508
50 years, female, NA, stage:III, dead, 2101 days
2364.4
DO46533
46 years, female, NA, stage:III, alive, 3667 days
2327.4
DO46493
62 years, female, NA, stage:IV, alive, 839 days
2164.5
DO46388
74 years, female, NA, stage:III, dead, 413 days
2149.4
DO46412
64 years, female, NA, stage:III, dead, 597 days
2040.3
DO46338
59 years, female, NA, stage:III, dead, 596 days
1996.6
DO46568
66 years, female, NA, stage:III, dead, 320 days
1958.9
DO46591
58 years, female, NA, stage:III, dead, 195 days
1917.1
DO46376
58 years, female, NA, stage:III, dead, 1430 days
1865.7
DO46354
73 years, female, NA, stage:III, dead, 843 days
1858.6
DO46352
60 years, female, NA, stage:III, dead, 677 days
1795.5
DO46386
49 years, female, NA, stage:III, dead, 1162 days
1734.1
DO46366
65 years, female, NA, stage:III, dead, 2054 days
1724.1
DO46380
51 years, female, NA, stage:III, dead, 1423 days
1686.0
DO46453
66 years, female, NA, stage:III, dead, 3294 days
928.5
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.
The Human Protein Atlas project is funded
