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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.
: 2.67
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.11
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.
25%
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.
35%
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
6548.8
Number of samples
349
Samples
Sample
Description
TPM
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
29684.4
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
23588.6
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
20290.8
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
18502.9
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
15116.4
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
15018.0
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
14595.8
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
14565.0
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
14421.9
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
13981.9
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
13590.9
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
12896.8
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
12868.5
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
12807.0
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
12791.7
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
12785.6
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
12609.3
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
12463.8
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
12420.1
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
12260.1
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
12132.0
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
11958.1
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
11893.2
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
11762.6
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
11730.2
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
11525.3
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
11489.5
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
11399.1
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
11264.1
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
10876.0
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
10824.2
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
10720.6
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
10710.1
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
10709.7
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
10670.6
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
10599.1
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
10574.4
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
10306.0
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
10302.0
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
10226.9
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
10188.6
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
10179.6
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
10177.6
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
10169.2
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
10152.7
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
10136.0
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
10082.2
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
9889.9
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
9867.9
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
9819.3
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
9805.9
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
9646.9
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
9619.9
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
9589.7
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
9572.5
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
9523.7
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
9398.3
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
9392.4
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
9324.0
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
9229.9
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
9191.6
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
9134.0
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
9067.0
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
9061.1
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
8882.0
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
8848.3
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
8800.0
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
8784.9
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
8748.8
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
8741.8
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
8714.2
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
8626.8
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
8620.1
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
8618.3
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
8579.0
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
8497.6
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
8465.3
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
8453.1
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
8421.9
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
8417.7
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
8343.0
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
8288.9
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
8219.0
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
8199.8
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
8171.4
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
8093.2
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
8013.5
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
7959.5
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
7940.6
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
7895.2
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
7876.8
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
7848.7
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
7833.5
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
7825.9
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
7797.7
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
7791.3
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
7778.2
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
7774.5
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
7755.8
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
7748.9
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
7683.3
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
7673.1
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
7640.7
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
7633.4
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
7611.2
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
7580.8
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
7542.1
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
7472.0
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
7468.9
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
7445.7
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
7442.1
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
7430.0
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
7425.6
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
7410.0
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
7399.6
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
7384.0
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
7369.1
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
7358.4
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
7316.2
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
7259.0
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
7229.8
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
7219.9
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
7181.0
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
7149.2
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
7143.5
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
7136.6
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
7075.9
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
7003.6
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
6950.5
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
6916.4
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
6907.3
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
6899.5
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
6880.2
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
6875.8
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
6850.3
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
6831.3
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
6786.6
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
6745.1
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
6732.3
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
6680.3
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
6673.2
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
6660.4
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
6599.8
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
6584.0
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
6509.8
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
6439.5
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
6405.8
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
6382.9
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
6358.1
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
6357.4
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
6341.4
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
6320.9
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
6295.8
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
6291.5
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
6290.2
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
6281.7
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
6250.4
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
6185.3
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
6164.3
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
6128.4
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
6116.2
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
6103.3
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
6103.1
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
6076.5
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
6071.1
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
6053.7
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
6035.9
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
6010.8
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
5976.4
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
5954.1
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
5926.7
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
5888.5
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
5886.2
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
5880.7
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
5878.0
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
5868.3
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
5858.5
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
5818.2
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
5799.9
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
5676.6
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
5670.6
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
5631.7
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
5628.0
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
5625.2
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
5609.6
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
5600.4
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
5593.8
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
5589.6
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
5581.7
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
5547.8
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
5536.4
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
5517.2
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
5478.2
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
5429.9
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
5418.9
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
5412.7
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
5375.8
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
5327.1
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
5280.8
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
5269.4
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
5268.4
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
5253.5
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
5251.2
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
5250.1
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
5224.8
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
5176.6
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
5172.2
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
5151.6
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
5142.2
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
5137.9
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
5114.5
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
5113.2
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
5108.5
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
5098.8
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
5091.1
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
5076.9
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
5048.4
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
5041.4
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
5025.8
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
5002.1
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
4989.9
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
4989.3
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
4976.3
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
4907.5
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
4880.4
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
4873.3
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
4844.9
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
4842.8
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
4799.0
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
4782.0
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
4756.8
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
4749.7
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
4744.0
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
4728.2
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
4709.2
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
4681.4
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
4662.0
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
4652.4
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
4623.7
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
4582.5
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
4558.5
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
4545.3
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
4524.5
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
4506.4
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
4502.4
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
4492.4
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
4464.8
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
4464.1
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
4428.6
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
4424.4
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
4413.6
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
4389.0
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
4379.8
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
4373.1
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
4369.5
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
4366.9
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
4364.3
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
4347.3
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
4326.9
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
4311.2
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
4271.0
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
4240.8
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
4225.8
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
4225.5
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
4203.9
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
4195.6
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
4162.3
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
4099.6
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
4098.2
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
4054.8
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
4048.7
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
4011.7
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
4010.6
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
4000.7
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
3992.3
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
3985.8
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
3922.2
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
3911.5
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
3865.4
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
3861.7
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
3811.4
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
3790.0
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
3785.2
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
3770.3
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
3767.3
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
3744.4
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
3730.8
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
3721.7
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
3719.8
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
3683.6
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
3681.8
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
3661.7
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
3656.5
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
3640.8
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
3565.3
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
3516.6
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
3508.0
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
3490.2
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
3459.3
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
3458.7
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
3448.0
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
3420.8
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
3400.2
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
3400.1
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
3372.3
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
3352.5
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
3342.9
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
3313.6
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
3309.2
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
3303.0
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
3285.7
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
3267.9
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
3209.6
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
3194.3
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
3121.9
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
3095.1
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
3087.8
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
3086.0
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
3077.1
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
3069.2
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
3056.7
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
3034.4
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
3024.9
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
3014.1
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
2975.3
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
2945.6
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
2908.4
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
2902.5
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
2895.7
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
2859.5
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
2796.5
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
2764.9
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
2743.5
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
2722.7
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
2679.8
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
2617.0
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
2593.7
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
2570.5
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
2526.4
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
2355.5
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
2348.3
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
2328.1
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
2254.9
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
2185.8
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
2098.6
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
2083.5
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
2018.8
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
1994.5
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.
: 2.2
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.0066
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.
17%
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.
40%
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
9115.1
Number of samples
81
Samples
Sample
Description
TPM
DO46402
77 years, female, NA, stage:III, dead, 511 days
20414.3
DO46326
51 years, female, NA, stage:III, dead, 701 days
19185.2
DO46561
52 years, female, NA, stage:III, dead, 195 days
18174.7
DO46518
62 years, female, NA, stage:III, alive, 2960 days
16176.1
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
14310.8
DO46374
69 years, female, NA, stage:III, dead, 1409 days
13684.5
DO46588
74 years, female, NA, stage:III, dead, 438 days
13681.5
DO46366
65 years, female, NA, stage:III, dead, 2054 days
13607.4
DO46606
73 years, female, NA, stage:III, alive, 804 days
13487.1
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
13406.2
DO46338
59 years, female, NA, stage:III, dead, 596 days
13284.1
DO46508
50 years, female, NA, stage:III, dead, 2101 days
13243.0
DO46398
66 years, female, NA, stage:III, alive, 437 days
12795.6
DO46328
52 years, female, NA, stage:III, dead, 972 days
12771.2
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
12473.0
DO46358
60 years, female, NA, stage:III, dead, 423 days
12314.4
DO46386
49 years, female, NA, stage:III, dead, 1162 days
12275.4
DO46378
59 years, female, NA, stage:III, alive, 843 days
11992.7
DO46390
65 years, female, NA, stage:III, dead, 374 days
11938.6
DO46493
62 years, female, NA, stage:IV, alive, 839 days
11911.5
DO46356
68 years, female, NA, stage:III, dead, 911 days
11866.8
DO46370
54 years, female, NA, stage:III, dead, 1727 days
11829.3
DO46330
60 years, female, NA, stage:III, dead, 684 days
11753.9
DO46566
78 years, female, NA, stage:III, dead, 673 days
11616.6
DO46331
72 years, female, NA, stage:III, dead, 612 days
11519.7
DO46611
52 years, female, NA, stage:III, dead, 734 days
11426.1
DO46404
55 years, female, NA, stage:III, dead, 690 days
11103.6
DO46325
54 years, female, NA, stage:III, dead, 477 days
10850.1
DO46443
59 years, female, NA, stage:III, dead, 2464 days
10737.0
DO46597
60 years, female, NA, stage:III, dead, 393 days
10368.1
DO46384
55 years, female, NA, stage:III, dead, 614 days
10204.9
DO46352
60 years, female, NA, stage:III, dead, 677 days
10140.2
DO46591
58 years, female, NA, stage:III, dead, 195 days
9678.7
DO46463
49 years, female, NA, stage:III, dead, 2451 days
9530.4
DO46408
56 years, female, NA, stage:III, dead, 489 days
9484.2
DO46348
58 years, female, NA, stage:IV, dead, 287 days
9472.4
DO46340
62 years, female, NA, stage:III, dead, 616 days
9359.8
DO46342
67 years, female, NA, stage:III, dead, 1398 days
9335.5
DO46350
66 years, female, NA, stage:III, dead, 886 days
9287.0
DO46334
77 years, female, NA, stage:III, dead, 496 days
9259.8
DO46380
51 years, female, NA, stage:III, dead, 1423 days
8667.0
DO46368
57 years, female, NA, stage:III, dead, 2879 days
8405.7
DO46581
66 years, female, NA, stage:III, dead, 408 days
8368.3
DO46346
54 years, female, NA, stage:III, dead, 1187 days
8114.1
DO46336
70 years, female, NA, stage:IV, dead, 664 days
7759.8
DO46586
55 years, female, NA, stage:III, dead, 1019 days
7687.7
DO46436
58 years, female, NA, stage:III, alive, 3193 days
7413.4
DO46332
56 years, female, NA, stage:III, dead, 689 days
7357.3
DO46568
66 years, female, NA, stage:III, dead, 320 days
7317.9
DO46571
61 years, female, NA, stage:III, dead, 243 days
7298.6
DO46388
74 years, female, NA, stage:III, dead, 413 days
7072.1
DO46364
45 years, female, NA, stage:III, dead, 806 days
6933.7
DO46412
64 years, female, NA, stage:III, dead, 597 days
6924.8
DO46560
45 years, female, NA, stage:IV, dead, 286 days
6814.2
DO46327
54 years, female, NA, stage:III, dead, 184 days
6806.7
DO46468
67 years, female, NA, stage:III, alive, 2776 days
6448.3
DO46400
70 years, female, NA, stage:III, dead, 719 days
6448.0
DO46392
48 years, female, NA, stage:III, dead, 628 days
6394.4
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
6351.7
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
6281.2
DO46602
74 years, female, NA, stage:III, dead, 205 days
6278.9
DO46396
64 years, female, NA, stage:III, dead, 583 days
6094.8
DO46382
62 years, female, NA, stage:IV, dead, 311 days
6068.2
DO46533
46 years, female, NA, stage:III, alive, 3667 days
5942.9
DO46376
58 years, female, NA, stage:III, dead, 1430 days
5925.3
DO46453
66 years, female, NA, stage:III, dead, 3294 days
5668.1
DO46448
45 years, female, NA, stage:III, dead, 654 days
5618.8
DO46538
57 years, female, NA, stage:III, dead, 1527 days
5442.2
DO46432
56 years, female, NA, stage:III, alive, 2218 days
5135.0
DO46354
73 years, female, NA, stage:III, dead, 843 days
5114.6
DO46329
52 years, female, NA, stage:III, dead, 1699 days
5074.6
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
4941.0
DO46576
75 years, female, NA, stage:III, alive, 133 days
4778.9
DO46551
58 years, female, NA, stage:III, dead, 1055 days
4683.4
DO46528
56 years, female, NA, stage:III, alive, 6139 days
4638.6
DO46344
46 years, female, NA, stage:III, dead, 642 days
4612.0
DO46362
61 years, female, NA, stage:III, dead, 1639 days
4231.8
DO46333
58 years, female, NA, stage:III, dead, 359 days
4188.0
DO46372
39 years, female, NA, stage:III, dead, 1326 days
3649.7
DO46546
73 years, female, NA, stage:III, dead, 1889 days
2754.5
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
2672.1
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.