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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-CYB 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
7192.5
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
23341.0
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
22947.3
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
22424.7
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
19649.5
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
19012.1
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
18548.5
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
18009.4
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
17954.9
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
16559.2
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
16295.9
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
16160.3
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
15794.7
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
15428.0
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
15225.8
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
14875.4
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
14582.9
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
14509.0
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
14416.1
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
14180.8
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
14180.6
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
14134.9
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
13911.9
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
13653.4
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
13602.2
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
13365.7
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
13071.8
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
12993.0
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
12666.1
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
12572.8
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
12457.1
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
12433.5
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
12418.6
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
12381.7
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
12214.3
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
12167.0
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
12117.3
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
11840.0
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
11719.4
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
11671.0
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
11617.0
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
11603.1
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
11555.8
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
11525.5
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
11521.6
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
11477.0
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
11417.9
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
11396.9
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
11383.2
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
11346.4
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
11310.5
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
11064.7
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
11009.6
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
10998.5
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
10853.7
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
10851.2
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
10723.3
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
10674.3
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
10435.5
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
10427.3
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
10170.8
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
10162.4
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
10135.5
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
9964.0
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
9942.4
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
9924.0
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
9910.7
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
9849.5
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
9795.8
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
9730.4
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
9714.3
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
9663.9
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
9628.5
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
9513.2
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
9505.3
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
9463.6
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
9457.9
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
9457.8
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
9351.1
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
9343.3
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
9322.8
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
9288.4
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
9278.6
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
9243.8
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
9197.1
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
9180.1
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
9019.9
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
8948.1
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
8931.2
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
8922.2
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
8914.8
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
8912.6
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
8861.2
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
8852.2
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
8840.6
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
8755.9
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
8750.2
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
8738.1
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
8592.2
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
8431.6
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
8341.6
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
8340.1
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
8318.8
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
8299.7
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
8285.4
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
8271.9
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
8260.9
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
8216.3
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
8207.4
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
8194.8
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
8121.2
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
8071.3
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
8063.6
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
7997.3
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
7903.7
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
7799.8
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
7797.1
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
7788.7
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
7779.6
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
7750.2
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
7735.3
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
7711.9
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
7679.0
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
7640.1
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
7634.1
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
7632.7
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
7587.1
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
7571.3
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
7554.1
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
7531.5
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
7521.4
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
7518.5
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
7497.0
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
7489.0
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
7447.5
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
7428.5
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
7392.2
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
7377.5
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
7375.3
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
7339.4
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
7328.4
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
7316.5
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
7279.1
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
7266.2
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
7217.0
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
7193.9
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
7094.0
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
7088.8
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
7011.3
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
6990.8
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
6936.5
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
6924.5
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
6923.3
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
6920.1
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
6917.0
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
6866.3
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
6860.5
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
6807.6
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
6744.7
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
6738.3
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
6731.4
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
6701.6
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
6695.7
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
6684.8
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
6642.3
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
6614.9
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
6588.2
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
6569.2
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
6466.1
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
6416.3
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
6416.2
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
6405.5
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
6385.0
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
6383.9
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
6383.3
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
6379.7
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
6331.1
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
6320.9
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
6308.1
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
6264.6
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
6261.0
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
6256.0
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
6189.7
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
6175.3
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
6171.5
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
6166.9
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
6153.7
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
6132.5
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
6126.9
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
6114.8
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
6110.3
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
6097.7
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
6093.8
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
6079.5
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
6062.8
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
6057.3
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
6052.0
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
6021.0
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
5995.8
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
5994.5
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
5978.6
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
5949.5
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
5942.2
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
5939.9
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
5924.5
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
5922.3
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
5908.8
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
5893.3
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
5844.1
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
5793.0
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
5775.1
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
5743.0
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
5738.2
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
5737.7
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
5715.6
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
5665.5
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
5621.2
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
5594.3
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
5584.9
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
5550.7
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
5546.0
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
5515.6
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
5513.6
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
5493.8
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
5486.7
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
5473.6
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
5437.7
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
5401.9
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
5396.0
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
5353.0
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
5278.5
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
5251.4
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
5235.7
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
5223.1
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
5181.8
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
5166.4
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
5107.7
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
5095.5
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
5042.9
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
5037.8
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
5037.1
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
5027.4
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
5021.9
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
5018.9
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
4987.8
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
4955.0
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
4948.3
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
4928.3
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
4927.9
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
4877.0
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
4875.7
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
4874.9
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
4825.8
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
4753.5
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
4744.6
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
4688.7
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
4601.7
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
4586.0
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
4563.1
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
4545.7
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
4539.0
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
4536.8
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
4535.3
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
4493.9
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
4491.0
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
4486.2
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
4431.0
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
4376.2
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
4373.0
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
4372.3
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
4345.7
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
4308.3
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
4281.6
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
4267.8
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
4256.1
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
4246.5
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
4197.4
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
4149.8
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
4143.1
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
4139.1
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
4135.4
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
4111.3
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
4101.9
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
4057.2
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
4053.3
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
4038.0
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
3954.1
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
3951.9
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
3913.0
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
3903.5
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
3900.7
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
3884.0
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
3863.8
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
3846.8
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
3803.7
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
3751.4
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
3724.8
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
3688.0
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
3686.0
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
3632.6
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
3590.7
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
3585.4
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
3566.6
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
3564.9
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
3548.2
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
3547.6
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
3515.5
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
3496.6
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
3440.7
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
3421.1
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
3395.9
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
3388.7
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
3377.3
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
3324.5
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
3320.5
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
3316.5
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
3306.4
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
3300.7
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
3289.0
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
3280.7
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
3237.8
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
3106.8
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
3018.0
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
2977.7
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
2925.2
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
2892.3
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
2891.4
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
2886.6
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
2834.6
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
2733.3
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
2705.2
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
2689.2
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
2613.3
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
2602.6
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
2450.2
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
2407.2
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
2349.5
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
2293.4
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
2044.0
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
2039.4
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
2026.3
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
1975.7
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
1948.7
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
1877.0
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
1796.0
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
1728.9
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
1693.3
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
1371.1
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
1295.6
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 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-CYB 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
3866.5
Number of samples
81
Samples
Sample
Description
pTPM
DO46400
70 years, female, NA, stage:III, dead, 719 days
10865.6
DO46408
56 years, female, NA, stage:III, dead, 489 days
10795.0
DO46606
73 years, female, NA, stage:III, alive, 804 days
9262.0
DO46331
72 years, female, NA, stage:III, dead, 612 days
8370.8
DO46518
62 years, female, NA, stage:III, alive, 2960 days
8317.4
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
7568.0
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
7187.8
DO46571
61 years, female, NA, stage:III, dead, 243 days
6720.3
DO46396
64 years, female, NA, stage:III, dead, 583 days
6663.3
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
6468.6
DO46493
62 years, female, NA, stage:IV, alive, 839 days
6090.5
DO46546
73 years, female, NA, stage:III, dead, 1889 days
6017.0
DO46378
59 years, female, NA, stage:III, alive, 843 days
5866.7
DO46372
39 years, female, NA, stage:III, dead, 1326 days
5501.4
DO46566
78 years, female, NA, stage:III, dead, 673 days
5430.4
DO46329
52 years, female, NA, stage:III, dead, 1699 days
5312.2
DO46334
77 years, female, NA, stage:III, dead, 496 days
5068.7
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
5035.8
DO46588
74 years, female, NA, stage:III, dead, 438 days
4804.8
DO46561
52 years, female, NA, stage:III, dead, 195 days
4709.2
DO46340
62 years, female, NA, stage:III, dead, 616 days
4701.4
DO46328
52 years, female, NA, stage:III, dead, 972 days
4614.1
DO46538
57 years, female, NA, stage:III, dead, 1527 days
4567.7
DO46468
67 years, female, NA, stage:III, alive, 2776 days
4476.8
DO46398
66 years, female, NA, stage:III, alive, 437 days
4408.9
DO46362
61 years, female, NA, stage:III, dead, 1639 days
4346.3
DO46404
55 years, female, NA, stage:III, dead, 690 days
4333.7
DO46597
60 years, female, NA, stage:III, dead, 393 days
4305.3
DO46382
62 years, female, NA, stage:IV, dead, 311 days
4255.7
DO46364
45 years, female, NA, stage:III, dead, 806 days
4187.1
DO46336
70 years, female, NA, stage:IV, dead, 664 days
3984.8
DO46528
56 years, female, NA, stage:III, alive, 6139 days
3969.6
DO46551
58 years, female, NA, stage:III, dead, 1055 days
3902.0
DO46443
59 years, female, NA, stage:III, dead, 2464 days
3886.9
DO46342
67 years, female, NA, stage:III, dead, 1398 days
3867.0
DO46374
69 years, female, NA, stage:III, dead, 1409 days
3848.7
DO46350
66 years, female, NA, stage:III, dead, 886 days
3802.6
DO46348
58 years, female, NA, stage:IV, dead, 287 days
3778.7
DO46344
46 years, female, NA, stage:III, dead, 642 days
3716.8
DO46330
60 years, female, NA, stage:III, dead, 684 days
3618.3
DO46370
54 years, female, NA, stage:III, dead, 1727 days
3545.3
DO46560
45 years, female, NA, stage:IV, dead, 286 days
3398.7
DO46332
56 years, female, NA, stage:III, dead, 689 days
3356.6
DO46325
54 years, female, NA, stage:III, dead, 477 days
3257.8
DO46327
54 years, female, NA, stage:III, dead, 184 days
3232.2
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
3227.0
DO46611
52 years, female, NA, stage:III, dead, 734 days
3191.8
DO46384
55 years, female, NA, stage:III, dead, 614 days
3120.7
DO46568
66 years, female, NA, stage:III, dead, 320 days
3101.4
DO46602
74 years, female, NA, stage:III, dead, 205 days
3013.1
DO46463
49 years, female, NA, stage:III, dead, 2451 days
2760.3
DO46392
48 years, female, NA, stage:III, dead, 628 days
2682.4
DO46448
45 years, female, NA, stage:III, dead, 654 days
2670.4
DO46386
49 years, female, NA, stage:III, dead, 1162 days
2668.7
DO46436
58 years, female, NA, stage:III, alive, 3193 days
2634.4
DO46358
60 years, female, NA, stage:III, dead, 423 days
2597.6
DO46346
54 years, female, NA, stage:III, dead, 1187 days
2556.2
DO46326
51 years, female, NA, stage:III, dead, 701 days
2412.0
DO46338
59 years, female, NA, stage:III, dead, 596 days
2389.4
DO46533
46 years, female, NA, stage:III, alive, 3667 days
2350.9
DO46412
64 years, female, NA, stage:III, dead, 597 days
2238.4
DO46368
57 years, female, NA, stage:III, dead, 2879 days
2229.6
DO46366
65 years, female, NA, stage:III, dead, 2054 days
2155.8
DO46376
58 years, female, NA, stage:III, dead, 1430 days
2114.3
DO46388
74 years, female, NA, stage:III, dead, 413 days
2097.1
DO46390
65 years, female, NA, stage:III, dead, 374 days
2086.2
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
2001.6
DO46402
77 years, female, NA, stage:III, dead, 511 days
1947.3
DO46333
58 years, female, NA, stage:III, dead, 359 days
1915.4
DO46354
73 years, female, NA, stage:III, dead, 843 days
1893.8
DO46508
50 years, female, NA, stage:III, dead, 2101 days
1872.0
DO46586
55 years, female, NA, stage:III, dead, 1019 days
1742.4
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
1687.0
DO46432
56 years, female, NA, stage:III, alive, 2218 days
1652.7
DO46576
75 years, female, NA, stage:III, alive, 133 days
1635.5
DO46352
60 years, female, NA, stage:III, dead, 677 days
1634.9
DO46581
66 years, female, NA, stage:III, dead, 408 days
1420.2
DO46356
68 years, female, NA, stage:III, dead, 911 days
1234.5
DO46380
51 years, female, NA, stage:III, dead, 1423 days
1164.6
DO46453
66 years, female, NA, stage:III, dead, 3294 days
963.7
DO46591
58 years, female, NA, stage:III, dead, 195 days
706.3
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
