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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.
RPL17 is not prognostic in Ovary Serous Cystadenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
1676.3
Number of samples
349
Samples
Sample
Description
TPM
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
5566.0
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
5259.1
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
5169.8
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
5079.1
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
5050.6
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
4698.1
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
4517.6
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
4320.4
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
4290.6
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
4278.0
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
4063.1
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
4062.2
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
3638.7
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
3557.0
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
3519.2
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
3497.8
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
3464.3
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
3428.8
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
3363.4
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
3361.3
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
3359.8
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
3352.4
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
3216.2
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
3197.6
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
3161.6
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
3151.0
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
3103.6
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
3101.9
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
3101.3
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
3098.9
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
3034.9
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
3022.1
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
3019.2
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
3014.3
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
2990.9
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
2971.8
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
2947.4
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
2915.4
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
2877.6
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
2854.9
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
2821.7
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
2805.2
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
2792.4
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
2783.4
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
2756.9
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
2755.5
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
2742.8
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
2714.6
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
2701.9
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
2697.8
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
2686.3
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
2664.8
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
2639.6
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
2637.8
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
2614.0
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
2557.3
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
2550.9
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
2545.7
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
2533.3
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
2517.0
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
2449.9
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
2437.9
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
2412.7
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
2370.9
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
2368.6
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
2360.8
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
2343.9
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
2341.2
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
2330.8
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
2312.2
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
2265.9
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
2232.0
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
2226.7
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
2221.3
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
2208.2
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
2167.2
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
2133.4
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
2127.7
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
2121.8
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
2092.4
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
2073.6
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
2066.6
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
2054.1
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
2052.2
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
2019.5
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
1998.4
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
1986.4
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
1962.2
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
1956.8
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
1948.3
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
1934.6
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
1918.0
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
1910.8
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
1898.1
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
1895.7
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
1889.5
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
1881.8
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
1870.9
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
1854.0
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
1850.6
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
1843.3
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
1842.4
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
1841.5
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
1830.9
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
1830.3
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
1826.9
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
1824.4
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
1822.1
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
1819.7
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
1816.3
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
1784.5
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
1783.1
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
1779.7
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
1778.1
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
1776.2
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
1772.0
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
1764.4
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
1761.9
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
1757.0
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
1756.5
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
1749.6
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
1745.4
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
1741.4
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
1732.7
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
1718.1
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
1714.1
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
1708.1
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
1704.1
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
1702.8
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
1702.2
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
1697.1
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
1696.0
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
1671.8
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
1667.6
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
1632.2
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
1631.0
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
1626.3
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
1623.1
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
1621.5
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
1616.6
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
1616.4
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
1613.1
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
1596.6
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
1592.5
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
1589.6
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
1586.5
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
1575.4
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
1572.6
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
1566.8
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
1559.6
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
1556.6
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
1550.9
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
1550.8
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
1550.5
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
1549.0
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
1532.0
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
1531.5
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
1524.8
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
1514.7
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
1513.6
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
1508.6
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
1508.1
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
1507.1
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
1505.3
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
1500.0
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
1483.6
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
1481.0
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
1474.8
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
1474.7
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
1472.7
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
1453.9
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
1442.4
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
1441.4
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
1432.6
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
1431.1
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
1424.4
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
1409.3
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
1399.4
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
1396.0
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
1392.3
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
1392.1
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
1384.2
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
1376.3
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
1374.7
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
1369.8
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
1349.2
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
1348.2
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
1346.9
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
1335.9
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
1322.4
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
1312.2
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
1309.1
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
1308.3
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
1303.8
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
1299.4
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
1297.8
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
1290.5
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
1289.3
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
1287.3
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
1285.1
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
1284.7
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
1282.8
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
1277.9
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
1277.4
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
1266.9
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
1262.9
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
1262.3
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
1257.8
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
1245.5
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
1243.4
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
1236.9
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
1229.3
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
1227.1
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
1226.3
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
1220.8
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
1215.2
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
1215.1
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
1212.9
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
1210.8
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
1206.9
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
1201.4
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
1195.8
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
1194.9
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
1193.3
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
1191.8
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
1187.8
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
1180.0
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
1177.0
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
1173.1
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
1171.4
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
1165.9
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
1164.3
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
1159.3
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
1158.3
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
1155.3
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
1153.3
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
1152.7
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
1150.3
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
1145.4
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
1145.3
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
1145.0
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
1141.0
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
1140.7
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
1133.9
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
1131.9
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
1130.0
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
1122.0
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
1119.5
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
1116.0
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
1115.5
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
1110.3
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
1109.8
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
1108.5
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
1105.1
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
1096.7
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
1075.1
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
1072.6
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
1071.9
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
1065.5
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
1064.6
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
1061.4
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
1058.5
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
1053.6
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
1052.8
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
1039.2
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
1027.6
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
1014.4
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
1014.0
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
992.7
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
991.5
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
988.6
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
986.6
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
982.6
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
978.0
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
975.9
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
974.2
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
968.4
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
965.3
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
960.6
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
958.6
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
954.1
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
953.4
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
942.4
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
939.3
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
931.6
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
931.6
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
920.0
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
919.5
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
917.5
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
917.1
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
913.6
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
913.4
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
909.5
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
909.1
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
908.0
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
905.5
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
899.6
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
890.7
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
889.0
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
888.5
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
884.7
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
882.5
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
882.2
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
876.1
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
864.4
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
858.4
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
852.9
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
848.0
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
847.7
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
845.2
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
831.2
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
828.8
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
816.3
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
809.0
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
796.8
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
794.9
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
791.4
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
791.3
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
777.7
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
775.4
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
771.8
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
769.5
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
768.1
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
751.4
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
744.6
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
736.6
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
733.8
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
729.5
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
726.7
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
715.0
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
714.5
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
709.5
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
684.0
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
670.5
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
670.3
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
656.7
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
638.2
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
637.7
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
633.1
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
631.7
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
631.4
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
624.9
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
600.7
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
599.9
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
587.4
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
553.7
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
501.6
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
494.4
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 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.
RPL17 is not prognostic in Ovary Serous Cystadenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
2357.7
Number of samples
81
Samples
Sample
Description
TPM
DO46356
68 years, female, NA, stage:III, dead, 911 days
11125.3
DO46333
58 years, female, NA, stage:III, dead, 359 days
6772.2
DO46576
75 years, female, NA, stage:III, alive, 133 days
6314.2
DO46366
65 years, female, NA, stage:III, dead, 2054 days
5837.2
DO46331
72 years, female, NA, stage:III, dead, 612 days
5362.2
DO46591
58 years, female, NA, stage:III, dead, 195 days
4985.6
DO46390
65 years, female, NA, stage:III, dead, 374 days
4760.7
DO46568
66 years, female, NA, stage:III, dead, 320 days
4506.3
DO46326
51 years, female, NA, stage:III, dead, 701 days
3799.0
DO46338
59 years, female, NA, stage:III, dead, 596 days
3691.3
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
3562.4
DO46384
55 years, female, NA, stage:III, dead, 614 days
3385.0
DO46463
49 years, female, NA, stage:III, dead, 2451 days
3299.5
DO46370
54 years, female, NA, stage:III, dead, 1727 days
3266.6
DO46581
66 years, female, NA, stage:III, dead, 408 days
3245.6
DO46364
45 years, female, NA, stage:III, dead, 806 days
3016.5
DO46518
62 years, female, NA, stage:III, alive, 2960 days
2983.2
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
2953.1
DO46566
78 years, female, NA, stage:III, dead, 673 days
2937.6
DO46342
67 years, female, NA, stage:III, dead, 1398 days
2926.2
DO46493
62 years, female, NA, stage:IV, alive, 839 days
2895.0
DO46597
60 years, female, NA, stage:III, dead, 393 days
2851.3
DO46611
52 years, female, NA, stage:III, dead, 734 days
2773.6
DO46386
49 years, female, NA, stage:III, dead, 1162 days
2616.6
DO46352
60 years, female, NA, stage:III, dead, 677 days
2550.1
DO46358
60 years, female, NA, stage:III, dead, 423 days
2429.7
DO46453
66 years, female, NA, stage:III, dead, 3294 days
2417.4
DO46436
58 years, female, NA, stage:III, alive, 3193 days
2365.7
DO46533
46 years, female, NA, stage:III, alive, 3667 days
2343.5
DO46376
58 years, female, NA, stage:III, dead, 1430 days
2326.8
DO46508
50 years, female, NA, stage:III, dead, 2101 days
2221.6
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
2207.1
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
2206.4
DO46538
57 years, female, NA, stage:III, dead, 1527 days
2201.7
DO46402
77 years, female, NA, stage:III, dead, 511 days
2129.2
DO46412
64 years, female, NA, stage:III, dead, 597 days
2101.7
DO46443
59 years, female, NA, stage:III, dead, 2464 days
2069.1
DO46606
73 years, female, NA, stage:III, alive, 804 days
2048.9
DO46380
51 years, female, NA, stage:III, dead, 1423 days
2033.1
DO46328
52 years, female, NA, stage:III, dead, 972 days
1940.9
DO46350
66 years, female, NA, stage:III, dead, 886 days
1886.2
DO46392
48 years, female, NA, stage:III, dead, 628 days
1859.3
DO46561
52 years, female, NA, stage:III, dead, 195 days
1779.3
DO46362
61 years, female, NA, stage:III, dead, 1639 days
1719.6
DO46382
62 years, female, NA, stage:IV, dead, 311 days
1684.1
DO46398
66 years, female, NA, stage:III, alive, 437 days
1676.4
DO46588
74 years, female, NA, stage:III, dead, 438 days
1642.2
DO46330
60 years, female, NA, stage:III, dead, 684 days
1641.8
DO46346
54 years, female, NA, stage:III, dead, 1187 days
1624.1
DO46329
52 years, female, NA, stage:III, dead, 1699 days
1604.2
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
1574.2
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
1571.9
DO46551
58 years, female, NA, stage:III, dead, 1055 days
1562.4
DO46560
45 years, female, NA, stage:IV, dead, 286 days
1526.8
DO46400
70 years, female, NA, stage:III, dead, 719 days
1496.6
DO46368
57 years, female, NA, stage:III, dead, 2879 days
1478.5
DO46432
56 years, female, NA, stage:III, alive, 2218 days
1442.5
DO46404
55 years, female, NA, stage:III, dead, 690 days
1400.2
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
1397.6
DO46336
70 years, female, NA, stage:IV, dead, 664 days
1373.8
DO46396
64 years, female, NA, stage:III, dead, 583 days
1354.3
DO46388
74 years, female, NA, stage:III, dead, 413 days
1342.8
DO46325
54 years, female, NA, stage:III, dead, 477 days
1331.1
DO46354
73 years, female, NA, stage:III, dead, 843 days
1290.1
DO46586
55 years, female, NA, stage:III, dead, 1019 days
1275.2
DO46372
39 years, female, NA, stage:III, dead, 1326 days
1272.5
DO46408
56 years, female, NA, stage:III, dead, 489 days
1233.2
DO46344
46 years, female, NA, stage:III, dead, 642 days
1208.9
DO46378
59 years, female, NA, stage:III, alive, 843 days
1188.0
DO46348
58 years, female, NA, stage:IV, dead, 287 days
1174.0
DO46374
69 years, female, NA, stage:III, dead, 1409 days
1116.6
DO46546
73 years, female, NA, stage:III, dead, 1889 days
1116.2
DO46327
54 years, female, NA, stage:III, dead, 184 days
1100.4
DO46468
67 years, female, NA, stage:III, alive, 2776 days
1038.9
DO46334
77 years, female, NA, stage:III, dead, 496 days
1037.0
DO46528
56 years, female, NA, stage:III, alive, 6139 days
998.5
DO46332
56 years, female, NA, stage:III, dead, 689 days
952.6
DO46602
74 years, female, NA, stage:III, dead, 205 days
948.9
DO46448
45 years, female, NA, stage:III, dead, 654 days
878.8
DO46571
61 years, female, NA, stage:III, dead, 243 days
868.9
DO46340
62 years, female, NA, stage:III, dead, 616 days
853.1
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
1.3
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
1.2
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
1.0
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
1.0
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
1.0
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
1.0
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
0.9
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
0.8
15524912-685a-47ce-a824-567848_D2
Tumor
0.8
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
0.8
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
0.8
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
0.8
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
0.7
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
0.7
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
0.7
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
0.7
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
0.7
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
0.7
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
0.7
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
0.7
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
0.7
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
0.7
161317f3-1a39-438e-af45-cd2502_D2
Tumor
0.7
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
0.7
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
0.7
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
0.7
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
0.7
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
0.7
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
0.6
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
0.6
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
0.6
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
0.6
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
0.6
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
0.6
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
0.6
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
0.6
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
0.6
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
0.6
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
0.5
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
0.5
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
0.5
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
0.5
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
0.5
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
0.5
285fed94-1495-448e-879b-b55de9_D2
Tumor
0.5
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
0.4
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
0.4
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
0.4
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
0.4
e9d416e7-f661-400a-896e-388545_D2
Tumor
0.4
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
0.4
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
0.4
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
0.4
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
0.4
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
0.4
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
0.3
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
0.3
10c2d629-0287-4511-ac25-f29031_D2
Tumor
0.3
1772e913-f62e-446a-8cf3-720348_D2
Tumor
0.3
2f901c90-617e-46da-9fac-d68369_D2
Tumor
0.3
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
0.3
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
0.3
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
0.3
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
0.3
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
0.3
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
0.3
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
0.2
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
0.2
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
0.2
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
0.2
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
0.2
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
0.2
340a3769-3031-41ae-bb08-a2f696_D2
Normal
0.1
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
0.1
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
0.1
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
0.1
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
0.1
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
0.1
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
0.1
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
0.0
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
0.0
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
0.0
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
0.0
a3a26070-fb84-406a-8280-d555e6_D2
Normal
0.0
1a10c200-3895-4648-b951-94f99f_D2
Tumor
0.0
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
0.0
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
-0.1
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
-0.1
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
-0.1
1db5574d-aca7-403c-8100-6e705f_D2
Normal
-0.1
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
-0.1
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
-0.1
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
-0.2
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
-0.2
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
-0.2
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
-0.2
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
-0.2
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
-0.3
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
-0.3
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
-0.3
a65d8e76-640f-4341-a561-afbb57_D2
Normal
-0.3
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-0.3
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
-0.3
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-0.4
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
-0.4
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-0.4
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
-0.5
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
-0.5
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
