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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-ND4 is not prognostic in Ovary Serous Cystadenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
10284.7
Number of samples
349
Samples
Sample
Description
TPM
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
39168.9
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
29721.1
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
27681.8
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
25254.2
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
25087.8
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
24853.2
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
23149.2
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
23026.6
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
22635.6
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
22411.3
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
22075.0
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
21948.3
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
21784.8
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
21303.5
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
20577.2
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
20175.1
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
19681.3
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
19417.7
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
19288.2
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
18984.5
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
18324.2
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
18294.0
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
18267.0
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
18182.2
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
17784.5
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
17727.3
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
17401.8
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
17284.3
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
17124.8
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
16887.1
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
16771.7
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
16748.9
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
16564.6
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
16553.2
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
16443.6
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
16329.9
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
16292.5
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
16270.0
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
16200.7
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
16026.1
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
15963.4
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
15654.0
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
15629.7
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
15620.7
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
15499.4
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
15457.7
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
15444.1
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
15435.1
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
15396.6
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
15356.8
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
15351.1
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
15182.9
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
15067.6
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
14982.6
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
14869.7
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
14577.9
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
14566.0
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
14474.8
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
14443.2
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
14393.7
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
14286.0
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
14242.4
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
13992.7
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
13918.5
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
13850.9
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
13777.9
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
13748.5
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
13740.7
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
13681.7
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
13635.2
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
13618.5
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
13600.9
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
13489.3
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
13487.0
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
13477.8
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
13460.0
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
13413.9
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
13392.0
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
13360.4
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
13307.0
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
13263.3
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
13217.9
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
13203.1
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
13109.2
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
13078.1
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
13077.8
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
13035.2
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
13021.0
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
12932.9
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
12841.2
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
12823.1
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
12797.3
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
12749.6
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
12682.3
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
12645.2
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
12575.5
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
12563.2
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
12555.2
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
12503.1
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
12481.4
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
12475.5
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
12443.0
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
12299.1
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
12279.7
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
12240.6
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
12219.7
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
12184.8
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
12165.6
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
12129.0
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
12091.3
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
11932.5
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
11927.3
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
11858.2
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
11831.4
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
11819.2
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
11781.3
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
11731.7
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
11729.0
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
11662.3
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
11535.2
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
11488.8
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
11454.9
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
11384.3
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
11333.7
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
11331.0
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
11328.3
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
11298.8
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
11284.8
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
11265.7
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
11210.3
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
11203.9
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
11189.3
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
11143.5
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
11116.4
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
11050.6
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
11015.4
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
10989.9
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
10931.4
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
10868.7
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
10844.8
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
10813.7
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
10771.2
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
10757.6
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
10736.9
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
10667.8
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
10598.4
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
10591.5
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
10584.4
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
10583.6
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
10516.4
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
10509.7
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
10429.1
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
10413.6
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
10377.4
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
10284.9
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
10188.7
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
10188.0
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
10177.3
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
10087.7
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
10021.8
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
9970.7
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
9934.0
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
9904.3
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
9880.2
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
9859.0
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
9787.3
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
9780.3
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
9769.5
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
9717.4
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
9683.2
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
9664.2
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
9608.3
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
9551.7
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
9526.0
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
9488.6
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
9451.6
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
9417.0
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
9412.6
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
9368.7
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
9358.6
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
9358.5
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
9353.8
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
9263.8
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
9256.9
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
9227.4
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
9223.6
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
9213.2
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
9209.9
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
9190.2
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
9122.6
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
9079.7
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
9077.4
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
9070.0
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
9013.5
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
8994.1
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
8911.4
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
8881.4
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
8712.2
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
8698.9
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
8638.6
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
8601.8
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
8552.8
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
8549.4
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
8504.8
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
8471.7
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
8442.2
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
8435.0
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
8403.9
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
8364.2
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
8241.1
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
8237.2
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
8208.0
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
8169.9
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
8142.3
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
8135.5
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
8132.5
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
8087.7
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
8066.4
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
8045.0
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
8022.4
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
8017.5
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
8008.7
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
8004.8
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
7990.6
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
7986.4
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
7976.7
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
7924.6
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
7920.9
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
7916.8
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
7914.0
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
7892.7
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
7892.2
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
7802.1
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
7730.9
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
7689.8
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
7677.8
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
7640.1
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
7566.8
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
7446.0
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
7430.4
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
7371.2
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
7324.8
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
7289.2
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
7286.3
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
7247.1
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
7232.9
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
7186.5
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
7181.7
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
7177.9
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
7143.9
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
7103.7
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
7094.4
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
7075.7
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
7002.1
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
6990.0
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
6964.7
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
6954.6
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
6933.7
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
6916.1
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
6880.8
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
6871.4
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
6835.4
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
6824.3
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
6816.9
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
6769.7
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
6756.9
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
6694.7
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
6648.3
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
6531.5
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
6523.1
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
6515.6
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
6501.2
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
6422.2
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
6381.4
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
6366.1
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
6335.2
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
6313.1
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
6305.2
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
6286.1
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
6267.8
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
6243.2
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
6221.4
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
6217.8
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
6143.9
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
6102.1
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
6098.7
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
5951.1
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
5907.0
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
5898.2
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
5847.2
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
5700.3
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
5683.1
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
5634.3
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
5568.5
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
5534.8
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
5488.0
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
5283.2
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
5265.1
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
5264.6
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
5242.0
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
5234.3
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
5218.0
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
5192.5
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
5187.6
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
5167.4
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
4929.0
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
4865.8
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
4839.0
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
4781.0
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
4736.2
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
4427.5
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
4422.7
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
4362.2
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
4285.5
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
4252.3
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
4239.2
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
4201.2
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
4116.6
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
4100.5
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
4025.6
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
3983.8
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
3980.1
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
3969.1
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
3954.2
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
3931.3
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
3919.3
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
3895.6
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
3889.7
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
3879.4
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
3856.5
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
3836.9
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
3828.1
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
3751.2
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
3669.4
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
3636.5
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
3538.6
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
3463.6
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
3344.4
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
3285.6
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
3035.6
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
2958.5
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
2932.4
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
2762.9
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
2727.7
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
2653.9
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
1773.9
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
1441.3
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
1277.4
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 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-ND4 is not prognostic in Ovary Serous Cystadenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
7355.1
Number of samples
81
Samples
Sample
Description
TPM
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
27134.9
DO46518
62 years, female, NA, stage:III, alive, 2960 days
24882.7
DO46546
73 years, female, NA, stage:III, dead, 1889 days
19913.7
DO46400
70 years, female, NA, stage:III, dead, 719 days
14409.9
DO46408
56 years, female, NA, stage:III, dead, 489 days
13347.6
DO46331
72 years, female, NA, stage:III, dead, 612 days
13213.1
DO46329
52 years, female, NA, stage:III, dead, 1699 days
12845.2
DO46493
62 years, female, NA, stage:IV, alive, 839 days
11724.7
DO46404
55 years, female, NA, stage:III, dead, 690 days
11667.1
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
11341.7
DO46372
39 years, female, NA, stage:III, dead, 1326 days
11010.4
DO46566
78 years, female, NA, stage:III, dead, 673 days
10775.0
DO46528
56 years, female, NA, stage:III, alive, 6139 days
10325.5
DO46336
70 years, female, NA, stage:IV, dead, 664 days
10296.7
DO46378
59 years, female, NA, stage:III, alive, 843 days
10160.2
DO46342
67 years, female, NA, stage:III, dead, 1398 days
9898.9
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
9875.2
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
9705.1
DO46468
67 years, female, NA, stage:III, alive, 2776 days
9673.5
DO46561
52 years, female, NA, stage:III, dead, 195 days
9462.3
DO46398
66 years, female, NA, stage:III, alive, 437 days
9190.8
DO46382
62 years, female, NA, stage:IV, dead, 311 days
8938.0
DO46386
49 years, female, NA, stage:III, dead, 1162 days
8519.8
DO46602
74 years, female, NA, stage:III, dead, 205 days
8258.0
DO46538
57 years, female, NA, stage:III, dead, 1527 days
8067.2
DO46332
56 years, female, NA, stage:III, dead, 689 days
7968.0
DO46606
73 years, female, NA, stage:III, alive, 804 days
7684.4
DO46340
62 years, female, NA, stage:III, dead, 616 days
7610.5
DO46586
55 years, female, NA, stage:III, dead, 1019 days
7424.7
DO46571
61 years, female, NA, stage:III, dead, 243 days
7212.8
DO46551
58 years, female, NA, stage:III, dead, 1055 days
7130.9
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
7112.7
DO46396
64 years, female, NA, stage:III, dead, 583 days
6975.2
DO46358
60 years, female, NA, stage:III, dead, 423 days
6967.7
DO46348
58 years, female, NA, stage:IV, dead, 287 days
6772.7
DO46384
55 years, female, NA, stage:III, dead, 614 days
6708.7
DO46350
66 years, female, NA, stage:III, dead, 886 days
6492.8
DO46597
60 years, female, NA, stage:III, dead, 393 days
6256.7
DO46364
45 years, female, NA, stage:III, dead, 806 days
6184.4
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
6130.8
DO46560
45 years, female, NA, stage:IV, dead, 286 days
6075.9
DO46344
46 years, female, NA, stage:III, dead, 642 days
6035.0
DO46374
69 years, female, NA, stage:III, dead, 1409 days
5929.6
DO46334
77 years, female, NA, stage:III, dead, 496 days
5929.1
DO46354
73 years, female, NA, stage:III, dead, 843 days
5928.8
DO46370
54 years, female, NA, stage:III, dead, 1727 days
5906.6
DO46436
58 years, female, NA, stage:III, alive, 3193 days
5832.7
DO46328
52 years, female, NA, stage:III, dead, 972 days
5817.5
DO46366
65 years, female, NA, stage:III, dead, 2054 days
5634.7
DO46392
48 years, female, NA, stage:III, dead, 628 days
5633.5
DO46368
57 years, female, NA, stage:III, dead, 2879 days
5548.5
DO46325
54 years, female, NA, stage:III, dead, 477 days
5475.9
DO46588
74 years, female, NA, stage:III, dead, 438 days
5460.4
DO46568
66 years, female, NA, stage:III, dead, 320 days
5354.0
DO46533
46 years, female, NA, stage:III, alive, 3667 days
5270.8
DO46362
61 years, female, NA, stage:III, dead, 1639 days
5188.8
DO46448
45 years, female, NA, stage:III, dead, 654 days
5073.3
DO46443
59 years, female, NA, stage:III, dead, 2464 days
4861.7
DO46330
60 years, female, NA, stage:III, dead, 684 days
4846.9
DO46376
58 years, female, NA, stage:III, dead, 1430 days
4846.6
DO46327
54 years, female, NA, stage:III, dead, 184 days
4761.2
DO46463
49 years, female, NA, stage:III, dead, 2451 days
4760.0
DO46390
65 years, female, NA, stage:III, dead, 374 days
4671.2
DO46346
54 years, female, NA, stage:III, dead, 1187 days
4523.0
DO46611
52 years, female, NA, stage:III, dead, 734 days
4493.6
DO46352
60 years, female, NA, stage:III, dead, 677 days
4263.8
DO46508
50 years, female, NA, stage:III, dead, 2101 days
4247.2
DO46326
51 years, female, NA, stage:III, dead, 701 days
4114.6
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
4085.7
DO46412
64 years, female, NA, stage:III, dead, 597 days
4079.4
DO46432
56 years, female, NA, stage:III, alive, 2218 days
3837.7
DO46402
77 years, female, NA, stage:III, dead, 511 days
3819.9
DO46388
74 years, female, NA, stage:III, dead, 413 days
3379.8
DO46581
66 years, female, NA, stage:III, dead, 408 days
3332.5
DO46333
58 years, female, NA, stage:III, dead, 359 days
3273.9
DO46338
59 years, female, NA, stage:III, dead, 596 days
3065.8
DO46380
51 years, female, NA, stage:III, dead, 1423 days
2723.7
DO46576
75 years, female, NA, stage:III, alive, 133 days
2659.1
DO46453
66 years, female, NA, stage:III, dead, 3294 days
2057.1
DO46591
58 years, female, NA, stage:III, dead, 195 days
2029.0
DO46356
68 years, female, NA, stage:III, dead, 911 days
1666.7
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
