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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-ND3 is not prognostic in Ovary Serous Cystadenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
8696.3
Number of samples
349
Samples
Sample
Description
TPM
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
28468.2
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
28155.9
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
27295.1
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
26139.9
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
26055.7
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
25914.5
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
23626.6
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
22318.5
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
22310.7
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
22033.5
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
21619.6
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
21594.8
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
20779.5
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
20645.4
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
20335.7
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
19979.0
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
18935.7
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
18816.1
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
18188.3
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
17556.5
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
17284.2
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
16839.9
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
16808.6
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
16442.0
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
16411.3
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
16374.2
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
16299.7
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
16275.1
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
16178.1
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
16146.4
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
16020.1
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
15766.0
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
15623.1
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
15434.1
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
15143.4
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
15142.0
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
15114.4
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
14881.2
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
14765.7
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
14620.6
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
14516.5
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
14434.4
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
14407.2
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
14285.7
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
14063.9
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
14038.5
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
14035.8
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
13989.7
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
13764.0
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
13758.1
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
13739.0
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
13726.9
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
13699.1
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
13671.9
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
13666.5
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
13507.8
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
13477.6
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
13043.4
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
12951.3
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
12921.9
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
12911.4
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
12872.7
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
12805.6
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
12625.4
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
12611.9
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
12566.0
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
12472.5
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
12366.6
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
12316.9
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
12206.9
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
12098.1
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
12084.4
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
12080.1
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
12000.6
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
11977.5
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
11946.8
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
11885.9
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
11884.7
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
11828.7
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
11734.5
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
11653.7
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
11488.7
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
11456.0
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
11424.3
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
11361.2
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
11202.3
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
11135.9
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
11080.1
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
11052.4
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
10987.8
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
10895.9
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
10888.0
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
10806.1
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
10774.9
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
10773.6
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
10724.8
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
10723.3
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
10626.8
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
10613.7
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
10571.5
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
10529.8
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
10484.2
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
10332.7
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
10293.9
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
10276.6
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
10165.6
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
10144.2
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
10091.9
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
9985.0
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
9923.7
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
9903.8
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
9789.8
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
9783.2
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
9761.1
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
9727.1
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
9670.1
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
9665.1
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
9658.4
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
9564.2
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
9530.8
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
9346.6
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
9299.0
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
9137.9
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
9069.1
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
9050.5
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
9028.6
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
9009.3
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
8993.8
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
8983.3
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
8952.1
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
8933.2
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
8907.8
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
8869.5
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
8807.3
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
8766.2
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
8690.6
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
8676.7
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
8660.0
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
8568.5
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
8565.3
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
8527.5
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
8478.0
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
8422.5
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
8354.9
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
8337.5
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
8333.7
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
8333.6
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
8286.3
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
8221.3
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
8058.3
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
8043.1
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
8036.2
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
8034.7
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
8003.8
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
7933.6
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
7919.8
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
7862.1
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
7856.4
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
7836.6
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
7820.4
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
7810.2
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
7804.3
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
7802.7
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
7613.4
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
7568.9
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
7458.5
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
7434.4
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
7421.9
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
7399.1
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
7334.7
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
7272.7
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
7264.5
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
7253.3
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
7243.1
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
7135.2
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
7115.3
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
7097.1
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
7066.6
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
7029.5
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
7025.8
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
6956.2
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
6954.9
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
6944.2
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
6940.8
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
6926.0
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
6888.7
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
6833.7
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
6826.5
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
6819.8
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
6808.3
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
6793.8
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
6784.1
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
6772.9
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
6767.9
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
6759.4
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
6728.1
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
6639.7
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
6605.1
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
6552.7
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
6516.0
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
6501.5
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
6460.1
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
6431.4
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
6418.4
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
6409.4
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
6407.2
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
6397.3
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
6316.1
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
6293.1
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
6278.1
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
6260.5
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
6258.3
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
6234.7
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
6180.4
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
6125.1
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
6116.1
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
6111.8
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
6102.0
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
6047.4
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
6042.9
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
6040.2
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
6016.0
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
5986.9
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
5972.3
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
5964.4
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
5949.4
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
5897.1
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
5895.6
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
5856.6
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
5850.3
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
5838.4
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
5819.3
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
5810.6
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
5774.3
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
5772.8
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
5748.0
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
5708.7
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
5699.1
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
5662.0
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
5659.8
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
5656.5
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
5646.2
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
5634.7
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
5606.5
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
5544.0
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
5509.7
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
5419.3
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
5405.9
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
5400.0
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
5384.1
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
5353.5
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
5348.1
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
5313.8
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
5310.7
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
5295.5
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
5288.1
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
5273.8
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
5254.9
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
5242.9
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
5210.0
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
5156.6
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
5133.1
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
5131.8
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
5118.5
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
5117.3
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
5101.8
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
5070.8
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
5049.5
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
5018.8
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
5008.8
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
5000.8
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
4962.1
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
4926.7
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
4915.4
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
4898.2
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
4790.5
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
4777.6
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
4775.6
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
4723.9
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
4706.6
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
4682.1
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
4661.5
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
4650.7
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
4647.9
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
4643.0
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
4602.3
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
4575.1
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
4565.8
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
4506.9
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
4484.2
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
4468.2
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
4444.1
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
4420.8
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
4416.4
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
4367.9
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
4357.5
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
4333.9
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
4322.7
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
4308.7
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
4216.6
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
4207.9
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
4197.7
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
4175.7
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
4162.8
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
4121.9
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
4060.9
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
4035.9
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
4034.9
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
4029.6
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
4029.5
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
3889.1
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
3873.0
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
3810.9
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
3808.6
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
3802.2
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
3796.5
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
3779.7
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
3754.7
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
3748.2
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
3734.5
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
3716.2
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
3683.8
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
3639.7
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
3503.3
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
3483.4
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
3426.8
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
3422.3
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
3421.7
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
3415.3
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
3382.7
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
3368.3
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
3245.0
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
3215.9
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
3182.7
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
3170.3
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
3164.5
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
3086.3
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
2996.2
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
2969.6
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
2423.8
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
2404.8
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
2388.4
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
2322.7
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
2190.3
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
2129.9
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
1774.7
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
1592.1
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
1511.0
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-ND3 is not prognostic in Ovary Serous Cystadenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
6919.0
Number of samples
81
Samples
Sample
Description
TPM
DO46331
72 years, female, NA, stage:III, dead, 612 days
29815.0
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
22885.3
DO46546
73 years, female, NA, stage:III, dead, 1889 days
17025.4
DO46400
70 years, female, NA, stage:III, dead, 719 days
15549.5
DO46342
67 years, female, NA, stage:III, dead, 1398 days
15047.6
DO46390
65 years, female, NA, stage:III, dead, 374 days
13816.3
DO46518
62 years, female, NA, stage:III, alive, 2960 days
13722.5
DO46350
66 years, female, NA, stage:III, dead, 886 days
13398.1
DO46372
39 years, female, NA, stage:III, dead, 1326 days
12710.0
DO46333
58 years, female, NA, stage:III, dead, 359 days
10630.7
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
9436.8
DO46392
48 years, female, NA, stage:III, dead, 628 days
9256.6
DO46329
52 years, female, NA, stage:III, dead, 1699 days
9112.5
DO46374
69 years, female, NA, stage:III, dead, 1409 days
8924.6
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
8821.0
DO46364
45 years, female, NA, stage:III, dead, 806 days
8797.8
DO46561
52 years, female, NA, stage:III, dead, 195 days
8686.4
DO46378
59 years, female, NA, stage:III, alive, 843 days
8682.6
DO46566
78 years, female, NA, stage:III, dead, 673 days
8430.4
DO46493
62 years, female, NA, stage:IV, alive, 839 days
7893.8
DO46551
58 years, female, NA, stage:III, dead, 1055 days
7783.1
DO46408
56 years, female, NA, stage:III, dead, 489 days
7717.0
DO46352
60 years, female, NA, stage:III, dead, 677 days
7650.5
DO46538
57 years, female, NA, stage:III, dead, 1527 days
7132.6
DO46602
74 years, female, NA, stage:III, dead, 205 days
6964.4
DO46368
57 years, female, NA, stage:III, dead, 2879 days
6957.0
DO46358
60 years, female, NA, stage:III, dead, 423 days
6865.2
DO46344
46 years, female, NA, stage:III, dead, 642 days
6728.8
DO46588
74 years, female, NA, stage:III, dead, 438 days
6660.3
DO46334
77 years, female, NA, stage:III, dead, 496 days
6657.4
DO46412
64 years, female, NA, stage:III, dead, 597 days
6642.0
DO46597
60 years, female, NA, stage:III, dead, 393 days
6580.9
DO46528
56 years, female, NA, stage:III, alive, 6139 days
6476.9
DO46432
56 years, female, NA, stage:III, alive, 2218 days
6305.3
DO46340
62 years, female, NA, stage:III, dead, 616 days
6276.4
DO46386
49 years, female, NA, stage:III, dead, 1162 days
6273.1
DO46398
66 years, female, NA, stage:III, alive, 437 days
6254.7
DO46325
54 years, female, NA, stage:III, dead, 477 days
6232.9
DO46606
73 years, female, NA, stage:III, alive, 804 days
6215.6
DO46443
59 years, female, NA, stage:III, dead, 2464 days
6168.1
DO46576
75 years, female, NA, stage:III, alive, 133 days
5999.9
DO46382
62 years, female, NA, stage:IV, dead, 311 days
5926.2
DO46568
66 years, female, NA, stage:III, dead, 320 days
5911.9
DO46380
51 years, female, NA, stage:III, dead, 1423 days
5900.4
DO46366
65 years, female, NA, stage:III, dead, 2054 days
5680.9
DO46384
55 years, female, NA, stage:III, dead, 614 days
5587.3
DO46370
54 years, female, NA, stage:III, dead, 1727 days
5450.9
DO46468
67 years, female, NA, stage:III, alive, 2776 days
5448.1
DO46463
49 years, female, NA, stage:III, dead, 2451 days
5200.9
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
5061.1
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
5051.4
DO46586
55 years, female, NA, stage:III, dead, 1019 days
4880.2
DO46396
64 years, female, NA, stage:III, dead, 583 days
4872.1
DO46560
45 years, female, NA, stage:IV, dead, 286 days
4796.8
DO46571
61 years, female, NA, stage:III, dead, 243 days
4710.1
DO46404
55 years, female, NA, stage:III, dead, 690 days
4685.5
DO46348
58 years, female, NA, stage:IV, dead, 287 days
4455.9
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
4400.1
DO46330
60 years, female, NA, stage:III, dead, 684 days
4336.3
DO46336
70 years, female, NA, stage:IV, dead, 664 days
4258.2
DO46328
52 years, female, NA, stage:III, dead, 972 days
4123.9
DO46591
58 years, female, NA, stage:III, dead, 195 days
3929.2
DO46332
56 years, female, NA, stage:III, dead, 689 days
3887.7
DO46346
54 years, female, NA, stage:III, dead, 1187 days
3663.6
DO46402
77 years, female, NA, stage:III, dead, 511 days
3570.7
DO46581
66 years, female, NA, stage:III, dead, 408 days
3513.9
DO46376
58 years, female, NA, stage:III, dead, 1430 days
3492.4
DO46338
59 years, female, NA, stage:III, dead, 596 days
3491.8
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
3405.6
DO46436
58 years, female, NA, stage:III, alive, 3193 days
3400.0
DO46354
73 years, female, NA, stage:III, dead, 843 days
3372.6
DO46448
45 years, female, NA, stage:III, dead, 654 days
3358.5
DO46326
51 years, female, NA, stage:III, dead, 701 days
3311.9
DO46327
54 years, female, NA, stage:III, dead, 184 days
3296.8
DO46362
61 years, female, NA, stage:III, dead, 1639 days
3261.7
DO46533
46 years, female, NA, stage:III, alive, 3667 days
3255.3
DO46356
68 years, female, NA, stage:III, dead, 911 days
3143.9
DO46388
74 years, female, NA, stage:III, dead, 413 days
3136.6
DO46453
66 years, female, NA, stage:III, dead, 3294 days
2986.7
DO46611
52 years, female, NA, stage:III, dead, 734 days
2563.5
DO46508
50 years, female, NA, stage:III, dead, 2101 days
2475.5
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
N/A
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
N/A
21efd60f-6a31-4b98-9477-16a905_D2
Normal
N/A
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
N/A
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
N/A
285fed94-1495-448e-879b-b55de9_D2
Tumor
N/A
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
N/A
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
N/A
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
N/A
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
N/A
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
N/A
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
N/A
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
N/A
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
N/A
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
N/A
2f901c90-617e-46da-9fac-d68369_D2
Tumor
N/A
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
N/A
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
N/A
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
N/A
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
N/A
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
N/A
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
N/A
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
N/A
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
N/A
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
N/A
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
N/A
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
N/A
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
N/A
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
N/A
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
N/A
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
N/A
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
N/A
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
N/A
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
N/A
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
N/A
1772e913-f62e-446a-8cf3-720348_D2
Tumor
N/A
e9d416e7-f661-400a-896e-388545_D2
Tumor
N/A
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
N/A
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
N/A
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
N/A
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
N/A
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
N/A
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
N/A
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
N/A
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
N/A
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
N/A
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
N/A
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
N/A
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
N/A
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
N/A
10c2d629-0287-4511-ac25-f29031_D2
Tumor
N/A
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
N/A
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
N/A
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
N/A
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
N/A
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
N/A
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
N/A
340a3769-3031-41ae-bb08-a2f696_D2
Normal
N/A
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
N/A
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
N/A
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
N/A
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
N/A
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
N/A
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
N/A
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
N/A
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
N/A
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
N/A
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
N/A
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
N/A
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
N/A
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
N/A
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
N/A
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
N/A
15524912-685a-47ce-a824-567848_D2
Tumor
N/A
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
N/A
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
N/A
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
N/A
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
N/A
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
N/A
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
N/A
a3a26070-fb84-406a-8280-d555e6_D2
Normal
N/A
161317f3-1a39-438e-af45-cd2502_D2
Tumor
N/A
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
N/A
1db5574d-aca7-403c-8100-6e705f_D2
Normal
N/A
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
N/A
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
N/A
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
N/A
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
N/A
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
N/A
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
N/A
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
N/A
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
N/A
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
N/A
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
N/A
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
N/A
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
N/A
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
N/A
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
N/A
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
N/A
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
N/A
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
N/A
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
N/A
a65d8e76-640f-4341-a561-afbb57_D2
Normal
N/A
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
N/A
1a10c200-3895-4648-b951-94f99f_D2
Tumor
N/A
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
N/A
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
N/A
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
N/A
Show allShow less
OVARIAN CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
