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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-ND3 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
10777.2
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
34192.6
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
33932.6
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
33702.2
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
31079.9
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
30732.2
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
30448.4
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
28256.6
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
28002.3
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
27234.6
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
26699.2
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
26692.6
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
25997.8
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
25669.6
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
25477.6
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
24760.2
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
24167.2
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
23967.2
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
23029.1
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
22559.2
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
22350.0
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
21959.3
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
21155.6
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
21034.4
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
20761.7
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
20468.1
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
20423.7
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
20261.1
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
19973.3
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
19875.1
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
19768.6
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
19719.4
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
19651.7
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
19523.8
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
19523.3
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
19467.5
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
19311.7
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
19023.6
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
18707.4
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
18688.0
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
18499.7
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
18176.8
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
18170.4
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
18060.5
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
17985.3
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
17850.6
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
17834.0
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
17828.4
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
17684.7
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
17538.5
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
17357.5
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
17351.4
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
17031.2
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
16940.5
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
16877.1
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
16753.1
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
16672.8
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
16538.9
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
16392.5
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
16229.9
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
16207.9
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
16094.8
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
15723.0
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
15651.4
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
15641.6
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
15532.9
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
15479.2
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
15455.6
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
15343.0
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
15253.5
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
15192.4
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
15117.2
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
15097.0
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
15081.3
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
15057.8
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
14994.5
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
14979.1
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
14938.7
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
14876.3
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
14827.7
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
14517.5
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
14433.2
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
14308.7
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
14307.0
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
14295.5
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
14164.9
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
14100.0
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
13846.3
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
13836.9
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
13520.8
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
13506.9
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
13430.5
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
13413.1
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
13303.1
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
13243.5
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
13200.1
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
13017.7
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
12965.4
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
12927.3
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
12900.8
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
12868.7
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
12729.8
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
12653.5
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
12580.0
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
12552.6
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
12443.3
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
12438.3
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
12363.3
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
12352.5
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
12333.5
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
12180.1
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
12067.9
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
12043.5
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
12036.1
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
12016.4
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
11857.0
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
11802.0
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
11697.5
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
11638.6
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
11585.9
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
11513.5
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
11466.1
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
11436.0
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
11421.9
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
11370.9
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
11319.8
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
11223.9
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
11112.2
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
11103.9
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
11010.9
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
10975.5
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
10952.8
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
10928.1
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
10899.2
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
10822.7
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
10816.4
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
10747.6
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
10729.0
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
10651.3
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
10569.1
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
10455.3
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
10444.4
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
10424.1
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
10353.5
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
10257.5
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
10186.4
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
10104.5
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
10092.6
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
9977.7
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
9971.1
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
9924.9
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
9908.5
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
9854.1
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
9842.3
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
9838.7
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
9769.3
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
9744.3
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
9743.8
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
9724.7
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
9632.6
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
9583.3
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
9582.5
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
9539.1
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
9503.0
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
9446.0
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
9378.7
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
9355.0
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
9306.5
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
9282.2
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
9197.8
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
9187.0
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
9116.7
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
9029.7
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
8991.2
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
8892.7
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
8834.6
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
8817.5
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
8794.0
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
8777.0
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
8763.5
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
8759.4
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
8676.5
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
8646.5
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
8591.6
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
8575.1
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
8565.9
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
8564.6
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
8549.6
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
8504.8
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
8496.9
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
8485.7
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
8450.0
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
8406.8
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
8364.8
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
8319.2
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
8286.5
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
8285.7
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
8259.8
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
8235.2
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
8223.2
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
8192.0
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
8118.0
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
8099.1
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
8037.1
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
8034.8
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
7997.1
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
7995.7
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
7975.0
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
7973.1
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
7918.0
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
7894.6
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
7857.0
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
7842.1
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
7827.2
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
7754.4
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
7754.3
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
7727.7
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
7724.4
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
7715.9
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
7657.2
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
7611.0
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
7575.5
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
7494.7
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
7471.0
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
7468.3
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
7430.3
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
7423.8
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
7360.5
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
7336.5
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
7304.4
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
7266.4
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
7245.1
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
7242.8
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
7239.5
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
7205.1
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
7201.4
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
7182.7
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
7097.1
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
7066.5
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
7005.9
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
6927.7
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
6920.2
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
6920.0
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
6871.3
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
6856.1
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
6850.7
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
6810.7
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
6776.2
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
6769.3
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
6756.9
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
6752.3
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
6735.8
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
6698.4
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
6683.3
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
6681.4
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
6656.3
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
6650.3
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
6527.4
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
6504.5
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
6503.1
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
6502.1
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
6499.9
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
6418.2
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
6408.8
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
6403.9
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
6401.4
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
6395.4
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
6347.3
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
6288.4
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
6194.7
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
6183.8
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
6101.2
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
6081.6
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
6076.5
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
6058.3
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
6054.8
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
5973.7
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
5966.3
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
5944.8
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
5889.1
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
5845.4
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
5830.7
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
5816.6
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
5791.8
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
5777.3
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
5765.1
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
5704.9
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
5668.5
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
5624.3
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
5608.9
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
5606.8
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
5549.4
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
5517.4
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
5509.5
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
5503.3
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
5475.4
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
5471.3
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
5465.5
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
5458.4
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
5447.5
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
5433.1
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
5428.5
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
5378.1
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
5355.0
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
5328.2
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
5274.4
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
5264.5
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
5144.3
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
5056.7
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
5035.6
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
5030.0
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
4986.6
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
4963.5
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
4889.9
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
4828.4
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
4806.5
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
4686.5
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
4685.8
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
4667.3
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
4649.5
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
4587.7
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
4523.6
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
4475.4
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
4445.4
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
4388.1
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
4353.5
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
4345.1
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
4273.8
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
4241.8
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
4227.1
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
4215.2
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
4208.8
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
4203.5
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
4113.8
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
3952.1
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
3928.3
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
3888.9
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
3843.3
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
3819.0
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
3681.3
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
3589.9
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
3011.5
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
3011.2
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
2945.8
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
2843.5
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
2748.3
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
2687.4
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
2106.3
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
2052.0
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-ND3 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
7008.4
Number of samples
81
Samples
Sample
Description
pTPM
DO46331
72 years, female, NA, stage:III, dead, 612 days
27468.1
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
18049.5
DO46400
70 years, female, NA, stage:III, dead, 719 days
17462.4
DO46518
62 years, female, NA, stage:III, alive, 2960 days
16260.4
DO46546
73 years, female, NA, stage:III, dead, 1889 days
15781.0
DO46390
65 years, female, NA, stage:III, dead, 374 days
14816.0
DO46342
67 years, female, NA, stage:III, dead, 1398 days
11364.6
DO46561
52 years, female, NA, stage:III, dead, 195 days
10572.2
DO46566
78 years, female, NA, stage:III, dead, 673 days
10251.7
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
10072.6
DO46350
66 years, female, NA, stage:III, dead, 886 days
9869.8
DO46329
52 years, female, NA, stage:III, dead, 1699 days
9835.3
DO46364
45 years, female, NA, stage:III, dead, 806 days
9789.1
DO46372
39 years, female, NA, stage:III, dead, 1326 days
9781.5
DO46333
58 years, female, NA, stage:III, dead, 359 days
9595.8
DO46408
56 years, female, NA, stage:III, dead, 489 days
9504.9
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
9482.0
DO46588
74 years, female, NA, stage:III, dead, 438 days
9285.3
DO46392
48 years, female, NA, stage:III, dead, 628 days
9074.4
DO46378
59 years, female, NA, stage:III, alive, 843 days
9019.1
DO46538
57 years, female, NA, stage:III, dead, 1527 days
8522.8
DO46551
58 years, female, NA, stage:III, dead, 1055 days
8422.2
DO46606
73 years, female, NA, stage:III, alive, 804 days
7943.8
DO46382
62 years, female, NA, stage:IV, dead, 311 days
7764.6
DO46597
60 years, female, NA, stage:III, dead, 393 days
7734.3
DO46344
46 years, female, NA, stage:III, dead, 642 days
7507.1
DO46334
77 years, female, NA, stage:III, dead, 496 days
7361.5
DO46443
59 years, female, NA, stage:III, dead, 2464 days
7281.9
DO46568
66 years, female, NA, stage:III, dead, 320 days
7172.3
DO46340
62 years, female, NA, stage:III, dead, 616 days
7048.8
DO46374
69 years, female, NA, stage:III, dead, 1409 days
7038.9
DO46493
62 years, female, NA, stage:IV, alive, 839 days
6677.8
DO46528
56 years, female, NA, stage:III, alive, 6139 days
6536.3
DO46358
60 years, female, NA, stage:III, dead, 423 days
6433.5
DO46370
54 years, female, NA, stage:III, dead, 1727 days
6394.1
DO46602
74 years, female, NA, stage:III, dead, 205 days
6311.1
DO46325
54 years, female, NA, stage:III, dead, 477 days
6216.0
DO46404
55 years, female, NA, stage:III, dead, 690 days
6082.7
DO46384
55 years, female, NA, stage:III, dead, 614 days
6068.4
DO46463
49 years, female, NA, stage:III, dead, 2451 days
5978.6
DO46368
57 years, female, NA, stage:III, dead, 2879 days
5965.0
DO46352
60 years, female, NA, stage:III, dead, 677 days
5964.2
DO46586
55 years, female, NA, stage:III, dead, 1019 days
5737.0
DO46398
66 years, female, NA, stage:III, alive, 437 days
5720.4
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
5711.2
DO46348
58 years, female, NA, stage:IV, dead, 287 days
5663.0
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
5552.3
DO46386
49 years, female, NA, stage:III, dead, 1162 days
5459.5
DO46330
60 years, female, NA, stage:III, dead, 684 days
5452.5
DO46328
52 years, female, NA, stage:III, dead, 972 days
5302.6
DO46560
45 years, female, NA, stage:IV, dead, 286 days
5214.7
DO46468
67 years, female, NA, stage:III, alive, 2776 days
5132.2
DO46396
64 years, female, NA, stage:III, dead, 583 days
5078.1
DO46432
56 years, female, NA, stage:III, alive, 2218 days
4932.3
DO46576
75 years, female, NA, stage:III, alive, 133 days
4885.8
DO46412
64 years, female, NA, stage:III, dead, 597 days
4835.7
DO46571
61 years, female, NA, stage:III, dead, 243 days
4801.2
DO46533
46 years, female, NA, stage:III, alive, 3667 days
4612.0
DO46362
61 years, female, NA, stage:III, dead, 1639 days
4599.2
DO46338
59 years, female, NA, stage:III, dead, 596 days
4479.9
DO46346
54 years, female, NA, stage:III, dead, 1187 days
4479.6
DO46380
51 years, female, NA, stage:III, dead, 1423 days
4421.5
DO46326
51 years, female, NA, stage:III, dead, 701 days
4209.7
DO46336
70 years, female, NA, stage:IV, dead, 664 days
4191.6
DO46332
56 years, female, NA, stage:III, dead, 689 days
4054.9
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
4033.3
DO46327
54 years, female, NA, stage:III, dead, 184 days
3933.3
DO46354
73 years, female, NA, stage:III, dead, 843 days
3768.4
DO46366
65 years, female, NA, stage:III, dead, 2054 days
3685.9
DO46376
58 years, female, NA, stage:III, dead, 1430 days
3581.5
DO46581
66 years, female, NA, stage:III, dead, 408 days
3514.6
DO46448
45 years, female, NA, stage:III, dead, 654 days
3507.1
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
3399.9
DO46591
58 years, female, NA, stage:III, dead, 195 days
3243.5
DO46402
77 years, female, NA, stage:III, dead, 511 days
3199.9
DO46356
68 years, female, NA, stage:III, dead, 911 days
3113.6
DO46388
74 years, female, NA, stage:III, dead, 413 days
3099.1
DO46508
50 years, female, NA, stage:III, dead, 2101 days
3067.1
DO46611
52 years, female, NA, stage:III, dead, 734 days
2981.9
DO46436
58 years, female, NA, stage:III, alive, 3193 days
2845.1
DO46453
66 years, female, NA, stage:III, dead, 3294 days
2419.1
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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
