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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.
EEF1A1 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
8112.4
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
36224.0
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
28131.0
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
24647.1
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
22571.8
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
18123.5
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
17879.2
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
17851.8
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
17662.5
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
17616.8
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
16893.6
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
16616.3
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
16288.6
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
16139.8
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
15747.3
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
15485.6
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
15321.6
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
15261.7
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
15245.4
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
15243.4
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
15090.0
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
14933.6
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
14836.8
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
14827.2
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
14542.9
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
14443.8
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
14398.3
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
14300.0
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
14106.8
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
14024.9
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
14019.1
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
13994.4
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
13814.7
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
13679.2
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
13214.6
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
13070.8
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
12999.5
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
12808.3
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
12791.0
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
12779.0
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
12728.8
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
12627.6
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
12542.0
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
12428.7
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
12348.1
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
12307.0
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
12288.0
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
12252.4
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
12213.0
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
12166.5
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
12162.1
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
12135.5
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
12104.8
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
11882.0
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
11807.8
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
11740.1
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
11681.1
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
11642.7
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
11617.4
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
11507.1
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
11477.3
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
11397.5
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
11367.1
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
11354.7
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
11152.5
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
11125.0
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
11036.3
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
10996.8
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
10896.3
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
10792.3
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
10746.7
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
10707.7
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
10527.8
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
10497.2
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
10439.8
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
10401.4
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
10319.0
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
10284.8
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
10229.2
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
10226.8
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
10205.0
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
10086.2
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
10078.1
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
10056.0
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
10007.8
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
9950.5
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
9853.1
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
9819.5
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
9815.9
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
9797.6
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
9780.4
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
9750.9
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
9733.6
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
9592.1
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
9568.9
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
9548.3
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
9527.7
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
9501.8
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
9483.4
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
9432.5
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
9421.8
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
9402.7
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
9393.0
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
9353.2
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
9324.8
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
9311.1
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
9271.1
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
9231.2
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
9221.5
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
9199.0
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
9159.8
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
9049.5
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
9016.4
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
8996.2
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
8972.0
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
8961.4
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
8907.7
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
8882.1
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
8834.8
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
8821.9
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
8797.8
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
8779.4
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
8773.3
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
8771.4
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
8732.7
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
8727.5
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
8699.9
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
8699.3
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
8682.8
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
8659.3
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
8625.3
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
8585.2
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
8576.3
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
8554.8
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
8550.0
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
8541.3
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
8501.4
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
8431.7
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
8414.8
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
8396.3
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
8339.1
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
8320.4
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
8262.0
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
8190.5
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
8124.1
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
8063.3
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
8041.3
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
7995.2
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
7968.3
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
7958.5
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
7948.8
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
7922.2
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
7919.3
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
7892.6
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
7875.2
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
7813.8
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
7786.6
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
7779.2
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
7740.3
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
7738.9
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
7732.7
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
7699.6
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
7692.7
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
7684.9
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
7677.3
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
7656.8
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
7593.6
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
7536.8
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
7533.0
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
7507.7
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
7505.1
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
7460.6
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
7457.3
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
7406.9
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
7386.2
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
7291.4
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
7286.7
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
7285.3
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
7160.1
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
7144.2
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
7137.2
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
7090.5
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
7076.3
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
7065.0
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
7022.9
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
6987.1
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
6977.7
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
6950.8
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
6944.8
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
6906.9
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
6902.5
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
6900.4
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
6865.6
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
6811.2
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
6798.8
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
6771.8
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
6771.1
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
6744.0
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
6706.2
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
6704.3
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
6682.4
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
6657.5
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
6637.6
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
6625.6
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
6603.5
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
6568.3
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
6522.6
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
6494.4
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
6464.0
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
6461.1
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
6432.0
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
6371.7
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
6368.6
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
6300.2
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
6294.2
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
6265.5
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
6240.8
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
6236.8
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
6205.7
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
6169.8
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
6166.5
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
6163.9
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
6160.0
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
6054.1
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
6012.3
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
5997.8
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
5996.2
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
5988.6
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
5958.7
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
5940.5
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
5938.4
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
5928.9
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
5919.3
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
5902.2
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
5852.2
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
5844.6
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
5842.5
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
5841.1
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
5823.5
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
5810.8
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
5749.7
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
5746.2
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
5714.2
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
5687.4
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
5686.4
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
5682.4
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
5677.9
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
5653.7
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
5648.7
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
5627.7
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
5609.2
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
5604.7
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
5602.2
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
5552.5
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
5529.0
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
5488.1
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
5482.9
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
5461.6
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
5453.4
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
5441.6
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
5439.8
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
5411.1
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
5404.0
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
5360.5
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
5348.7
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
5299.2
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
5289.3
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
5268.4
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
5259.4
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
5254.3
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
5253.4
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
5239.2
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
5052.7
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
5043.6
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
4982.7
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
4971.3
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
4934.9
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
4912.2
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
4886.3
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
4886.1
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
4866.4
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
4813.4
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
4800.8
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
4778.8
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
4775.3
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
4745.0
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
4732.1
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
4730.2
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
4711.2
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
4650.8
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
4625.1
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
4615.0
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
4610.7
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
4562.9
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
4538.6
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
4534.8
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
4491.3
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
4457.8
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
4443.9
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
4433.0
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
4432.8
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
4403.7
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
4398.3
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
4346.0
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
4330.9
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
4329.8
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
4305.9
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
4276.0
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
4204.0
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
4202.9
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
4197.2
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
4133.1
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
4092.9
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
3995.7
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
3993.2
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
3984.6
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
3978.1
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
3959.0
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
3949.0
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
3937.1
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
3921.7
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
3913.9
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
3897.4
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
3863.8
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
3759.2
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
3741.6
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
3633.8
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
3628.1
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
3608.9
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
3606.2
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
3591.9
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
3564.8
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
3444.3
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
3433.2
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
3396.8
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
3313.8
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
3233.3
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
3181.9
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
3146.9
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
3109.8
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
3061.8
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
2982.4
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
2766.4
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
2731.5
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
2661.3
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
2624.2
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
2560.8
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
2521.2
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
2392.0
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 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.
EEF1A1 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
9625.4
Number of samples
81
Samples
Sample
Description
pTPM
DO46326
51 years, female, NA, stage:III, dead, 701 days
24386.0
DO46561
52 years, female, NA, stage:III, dead, 195 days
22120.3
DO46518
62 years, female, NA, stage:III, alive, 2960 days
19167.7
DO46588
74 years, female, NA, stage:III, dead, 438 days
19073.7
DO46402
77 years, female, NA, stage:III, dead, 511 days
18294.2
DO46606
73 years, female, NA, stage:III, alive, 804 days
17237.2
DO46338
59 years, female, NA, stage:III, dead, 596 days
17043.1
DO46328
52 years, female, NA, stage:III, dead, 972 days
16421.8
DO46508
50 years, female, NA, stage:III, dead, 2101 days
16407.4
DO46330
60 years, female, NA, stage:III, dead, 684 days
14779.4
DO46404
55 years, female, NA, stage:III, dead, 690 days
14414.8
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
14309.4
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
14286.9
DO46566
78 years, female, NA, stage:III, dead, 673 days
14126.2
DO46370
54 years, female, NA, stage:III, dead, 1727 days
13876.4
DO46611
52 years, female, NA, stage:III, dead, 734 days
13291.1
DO46390
65 years, female, NA, stage:III, dead, 374 days
12802.5
DO46443
59 years, female, NA, stage:III, dead, 2464 days
12675.7
DO46378
59 years, female, NA, stage:III, alive, 843 days
12457.6
DO46597
60 years, female, NA, stage:III, dead, 393 days
12185.2
DO46348
58 years, female, NA, stage:IV, dead, 287 days
12038.5
DO46356
68 years, female, NA, stage:III, dead, 911 days
11752.4
DO46398
66 years, female, NA, stage:III, alive, 437 days
11702.4
DO46408
56 years, female, NA, stage:III, dead, 489 days
11681.5
DO46358
60 years, female, NA, stage:III, dead, 423 days
11540.2
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
11433.3
DO46384
55 years, female, NA, stage:III, dead, 614 days
11083.8
DO46463
49 years, female, NA, stage:III, dead, 2451 days
10955.4
DO46325
54 years, female, NA, stage:III, dead, 477 days
10820.6
DO46374
69 years, female, NA, stage:III, dead, 1409 days
10793.0
DO46386
49 years, female, NA, stage:III, dead, 1162 days
10683.3
DO46331
72 years, female, NA, stage:III, dead, 612 days
10612.9
DO46340
62 years, female, NA, stage:III, dead, 616 days
10511.7
DO46334
77 years, female, NA, stage:III, dead, 496 days
10239.0
DO46493
62 years, female, NA, stage:IV, alive, 839 days
10076.6
DO46346
54 years, female, NA, stage:III, dead, 1187 days
9921.3
DO46586
55 years, female, NA, stage:III, dead, 1019 days
9037.6
DO46568
66 years, female, NA, stage:III, dead, 320 days
8878.1
DO46366
65 years, female, NA, stage:III, dead, 2054 days
8828.9
DO46533
46 years, female, NA, stage:III, alive, 3667 days
8419.7
DO46581
66 years, female, NA, stage:III, dead, 408 days
8370.0
DO46327
54 years, female, NA, stage:III, dead, 184 days
8120.7
DO46591
58 years, female, NA, stage:III, dead, 195 days
7989.6
DO46382
62 years, female, NA, stage:IV, dead, 311 days
7950.7
DO46352
60 years, female, NA, stage:III, dead, 677 days
7905.2
DO46364
45 years, female, NA, stage:III, dead, 806 days
7714.9
DO46332
56 years, female, NA, stage:III, dead, 689 days
7673.8
DO46336
70 years, female, NA, stage:IV, dead, 664 days
7638.5
DO46571
61 years, female, NA, stage:III, dead, 243 days
7439.7
DO46560
45 years, female, NA, stage:IV, dead, 286 days
7407.9
DO46400
70 years, female, NA, stage:III, dead, 719 days
7241.2
DO46368
57 years, female, NA, stage:III, dead, 2879 days
7207.1
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
7088.1
DO46342
67 years, female, NA, stage:III, dead, 1398 days
7050.6
DO46388
74 years, female, NA, stage:III, dead, 413 days
6987.7
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
6981.7
DO46350
66 years, female, NA, stage:III, dead, 886 days
6841.3
DO46538
57 years, female, NA, stage:III, dead, 1527 days
6503.0
DO46380
51 years, female, NA, stage:III, dead, 1423 days
6494.8
DO46396
64 years, female, NA, stage:III, dead, 583 days
6352.5
DO46392
48 years, female, NA, stage:III, dead, 628 days
6268.6
DO46436
58 years, female, NA, stage:III, alive, 3193 days
6203.4
DO46376
58 years, female, NA, stage:III, dead, 1430 days
6076.5
DO46468
67 years, female, NA, stage:III, alive, 2776 days
6074.4
DO46362
61 years, female, NA, stage:III, dead, 1639 days
5967.2
DO46448
45 years, female, NA, stage:III, dead, 654 days
5867.4
DO46354
73 years, female, NA, stage:III, dead, 843 days
5714.8
DO46602
74 years, female, NA, stage:III, dead, 205 days
5689.9
DO46329
52 years, female, NA, stage:III, dead, 1699 days
5477.1
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
5311.2
DO46344
46 years, female, NA, stage:III, dead, 642 days
5145.5
DO46551
58 years, female, NA, stage:III, dead, 1055 days
5067.9
DO46412
64 years, female, NA, stage:III, dead, 597 days
5041.5
DO46528
56 years, female, NA, stage:III, alive, 6139 days
4681.1
DO46453
66 years, female, NA, stage:III, dead, 3294 days
4590.8
DO46432
56 years, female, NA, stage:III, alive, 2218 days
4016.8
DO46576
75 years, female, NA, stage:III, alive, 133 days
3891.5
DO46333
58 years, female, NA, stage:III, dead, 359 days
3780.3
DO46372
39 years, female, NA, stage:III, dead, 1326 days
2808.7
DO46546
73 years, female, NA, stage:III, dead, 1889 days
2553.1
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
2107.5
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
0.9
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
0.9
e9d416e7-f661-400a-896e-388545_D2
Tumor
0.7
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
0.7
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
0.7
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
0.6
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
0.6
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
0.6
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
0.6
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
0.6
161317f3-1a39-438e-af45-cd2502_D2
Tumor
0.6
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
0.6
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
0.6
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
0.5
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
0.5
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
0.5
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
0.5
2f901c90-617e-46da-9fac-d68369_D2
Tumor
0.5
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
0.5
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
0.5
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
0.5
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
0.5
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
0.5
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
0.4
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
0.4
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
0.4
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
0.4
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
0.4
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
0.4
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
0.4
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
0.4
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
0.4
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
0.4
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
0.4
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
0.4
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
0.3
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
0.3
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
0.3
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
0.3
10c2d629-0287-4511-ac25-f29031_D2
Tumor
0.3
1772e913-f62e-446a-8cf3-720348_D2
Tumor
0.3
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
0.3
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
0.3
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
0.3
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
0.3
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
0.3
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
0.3
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
0.3
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
0.3
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
0.3
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
0.3
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
0.2
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
0.2
285fed94-1495-448e-879b-b55de9_D2
Tumor
0.2
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
0.2
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
0.2
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
0.2
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
0.2
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
0.2
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
0.2
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
0.2
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
0.2
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
0.2
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
0.2
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
0.2
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
0.1
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
0.1
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
0.1
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
0.1
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
0.1
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
0.1
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
0.1
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
0.1
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
0.1
1a10c200-3895-4648-b951-94f99f_D2
Tumor
0.1
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
0.1
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
0.1
15524912-685a-47ce-a824-567848_D2
Tumor
0.0
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
0.0
1db5574d-aca7-403c-8100-6e705f_D2
Normal
0.0
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
0.0
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
0.0
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
0.0
a3a26070-fb84-406a-8280-d555e6_D2
Normal
-0.1
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
-0.1
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
-0.1
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
-0.1
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-0.1
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
-0.1
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
-0.2
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
-0.2
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
-0.2
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
-0.2
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
-0.2
340a3769-3031-41ae-bb08-a2f696_D2
Normal
-0.2
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
-0.2
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
-0.2
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
-0.2
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
-0.3
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
-0.3
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-0.3
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
-0.3
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
-0.3
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
-0.3
a65d8e76-640f-4341-a561-afbb57_D2
Normal
-0.3
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-0.4
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
-0.4
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
-0.4
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
