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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.
RPS7 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
1971.2
Number of samples
349
Samples
Sample
Description
TPM
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
7806.5
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
6553.9
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
6542.4
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
6005.4
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
5554.1
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
4976.0
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
4936.6
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
4896.8
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
4858.1
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
4816.8
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
4779.9
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
4779.7
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
4767.5
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
4588.3
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
4448.6
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
4383.9
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
4152.6
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
4134.7
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
4035.8
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
3850.8
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
3829.4
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
3736.4
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
3700.2
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
3692.8
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
3569.9
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
3546.0
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
3508.5
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
3469.7
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
3445.5
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
3355.7
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
3323.5
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
3320.1
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
3310.0
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
3277.4
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
3253.8
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
3234.8
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
3226.2
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
3223.3
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
3167.7
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
3163.5
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
3106.5
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
3030.4
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
3012.1
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
2986.9
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
2963.2
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
2953.0
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
2930.6
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
2888.3
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
2875.9
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
2866.9
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
2864.8
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
2864.3
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
2859.4
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
2857.6
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
2856.5
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
2839.2
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
2827.3
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
2821.6
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
2796.5
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
2747.1
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
2737.7
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
2727.1
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
2711.5
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
2707.2
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
2704.5
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
2686.7
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
2682.1
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
2681.7
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
2666.8
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
2662.6
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
2641.1
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
2636.0
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
2635.7
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
2588.7
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
2574.9
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
2571.5
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
2571.3
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
2553.4
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
2504.7
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
2482.1
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
2478.1
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
2466.1
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
2441.0
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
2437.5
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
2417.3
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
2398.5
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
2396.3
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
2391.4
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
2388.6
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
2372.6
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
2371.8
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
2363.0
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
2353.6
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
2353.0
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
2333.7
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
2314.3
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
2304.5
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
2297.6
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
2297.4
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
2289.9
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
2285.1
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
2281.3
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
2252.4
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
2246.9
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
2245.2
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
2232.0
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
2226.4
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
2220.9
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
2216.1
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
2213.4
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
2211.7
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
2204.0
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
2188.1
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
2170.8
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
2153.0
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
2146.6
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
2143.5
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
2126.5
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
2126.0
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
2122.2
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
2118.8
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
2115.6
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
2109.5
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
2106.9
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
2105.0
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
2103.7
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
2098.6
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
2086.1
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
2071.2
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
2070.0
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
2063.6
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
2059.1
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
2035.4
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
2032.6
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
2026.0
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
2012.8
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
2004.9
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
2002.8
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
2002.7
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
1995.9
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
1990.5
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
1989.2
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
1988.4
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
1980.6
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
1980.0
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
1975.2
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
1970.7
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
1921.7
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
1917.6
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
1912.9
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
1902.5
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
1901.5
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
1889.4
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
1884.7
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
1883.1
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
1882.5
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
1868.7
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
1863.7
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
1856.0
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
1854.3
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
1841.6
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
1839.6
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
1837.0
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
1832.4
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
1827.8
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
1820.3
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
1820.1
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
1800.8
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
1782.7
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
1774.9
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
1763.1
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
1761.7
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
1757.2
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
1754.8
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
1753.0
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
1746.0
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
1740.7
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
1734.4
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
1729.1
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
1725.4
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
1721.6
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
1719.0
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
1711.4
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
1702.7
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
1698.8
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
1691.0
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
1682.6
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
1677.3
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
1676.8
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
1670.8
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
1656.8
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
1656.0
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
1650.8
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
1633.1
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
1632.9
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
1612.0
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
1610.3
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
1592.2
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
1590.1
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
1583.0
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
1582.0
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
1570.8
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
1559.0
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
1558.8
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
1552.8
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
1545.0
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
1542.6
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
1530.7
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
1526.8
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
1526.6
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
1523.8
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
1520.2
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
1514.5
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
1498.5
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
1496.0
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
1484.2
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
1478.3
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
1463.7
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
1449.5
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
1443.8
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
1438.5
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
1412.8
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
1393.8
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
1386.7
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
1383.6
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
1375.5
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
1372.8
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
1367.5
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
1364.5
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
1364.0
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
1357.4
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
1352.6
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
1349.6
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
1342.1
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
1339.7
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
1329.5
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
1321.7
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
1306.1
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
1303.8
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
1303.3
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
1295.6
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
1289.9
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
1263.3
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
1251.5
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
1250.7
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
1248.6
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
1247.5
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
1240.8
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
1234.9
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
1229.4
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
1224.2
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
1216.3
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
1213.1
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
1208.7
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
1208.7
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
1208.2
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
1206.6
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
1204.4
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
1202.3
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
1198.1
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
1194.3
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
1192.4
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
1188.8
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
1185.9
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
1185.4
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
1174.5
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
1167.3
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
1154.7
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
1154.6
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
1152.9
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
1151.7
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
1151.4
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
1151.1
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
1150.9
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
1150.3
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
1147.8
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
1139.3
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
1131.4
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
1129.8
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
1124.4
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
1111.4
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
1110.9
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
1100.4
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
1096.2
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
1094.9
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
1071.0
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
1070.4
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
1067.1
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
1066.1
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
1062.7
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
1058.6
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
1052.5
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
1052.3
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
1052.1
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
1051.7
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
1041.3
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
1040.5
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
1038.7
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
1034.7
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
1033.2
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
1028.6
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
1025.9
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
1010.7
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
1007.9
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
1003.4
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
994.4
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
982.7
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
979.4
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
979.1
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
976.5
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
970.1
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
960.6
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
956.1
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
952.0
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
948.1
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
935.8
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
934.9
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
927.0
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
895.5
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
890.2
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
886.3
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
881.8
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
876.0
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
860.3
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
859.0
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
855.8
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
854.2
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
845.8
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
838.9
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
833.9
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
832.8
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
832.4
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
807.5
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
797.6
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
791.9
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
787.7
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
787.3
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
779.5
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
776.0
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
747.8
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
743.2
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
731.3
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
727.0
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
682.3
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
665.3
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
584.3
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
519.3
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
471.7
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 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.
RPS7 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
1879.1
Number of samples
81
Samples
Sample
Description
TPM
DO46356
68 years, female, NA, stage:III, dead, 911 days
4426.4
DO46591
58 years, female, NA, stage:III, dead, 195 days
4315.0
DO46390
65 years, female, NA, stage:III, dead, 374 days
3746.5
DO46402
77 years, female, NA, stage:III, dead, 511 days
3612.3
DO46338
59 years, female, NA, stage:III, dead, 596 days
3261.7
DO46384
55 years, female, NA, stage:III, dead, 614 days
3149.7
DO46568
66 years, female, NA, stage:III, dead, 320 days
3083.3
DO46561
52 years, female, NA, stage:III, dead, 195 days
3032.9
DO46331
72 years, female, NA, stage:III, dead, 612 days
2883.5
DO46333
58 years, female, NA, stage:III, dead, 359 days
2824.6
DO46336
70 years, female, NA, stage:IV, dead, 664 days
2811.6
DO46453
66 years, female, NA, stage:III, dead, 3294 days
2725.8
DO46463
49 years, female, NA, stage:III, dead, 2451 days
2622.2
DO46581
66 years, female, NA, stage:III, dead, 408 days
2613.4
DO46432
56 years, female, NA, stage:III, alive, 2218 days
2512.1
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
2493.3
DO46380
51 years, female, NA, stage:III, dead, 1423 days
2367.2
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
2338.7
DO46566
78 years, female, NA, stage:III, dead, 673 days
2323.5
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
2276.6
DO46576
75 years, female, NA, stage:III, alive, 133 days
2267.2
DO46588
74 years, female, NA, stage:III, dead, 438 days
2171.5
DO46342
67 years, female, NA, stage:III, dead, 1398 days
2161.1
DO46412
64 years, female, NA, stage:III, dead, 597 days
2139.2
DO46597
60 years, female, NA, stage:III, dead, 393 days
2136.2
DO46400
70 years, female, NA, stage:III, dead, 719 days
2098.6
DO46408
56 years, female, NA, stage:III, dead, 489 days
2064.7
DO46533
46 years, female, NA, stage:III, alive, 3667 days
1990.4
DO46370
54 years, female, NA, stage:III, dead, 1727 days
1980.0
DO46493
62 years, female, NA, stage:IV, alive, 839 days
1948.9
DO46352
60 years, female, NA, stage:III, dead, 677 days
1943.4
DO46334
77 years, female, NA, stage:III, dead, 496 days
1934.6
DO46388
74 years, female, NA, stage:III, dead, 413 days
1918.9
DO46436
58 years, female, NA, stage:III, alive, 3193 days
1910.1
DO46376
58 years, female, NA, stage:III, dead, 1430 days
1889.4
DO46362
61 years, female, NA, stage:III, dead, 1639 days
1865.2
DO46443
59 years, female, NA, stage:III, dead, 2464 days
1798.4
DO46508
50 years, female, NA, stage:III, dead, 2101 days
1768.0
DO46326
51 years, female, NA, stage:III, dead, 701 days
1745.4
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
1741.1
DO46364
45 years, female, NA, stage:III, dead, 806 days
1705.8
DO46606
73 years, female, NA, stage:III, alive, 804 days
1693.4
DO46330
60 years, female, NA, stage:III, dead, 684 days
1690.4
DO46358
60 years, female, NA, stage:III, dead, 423 days
1659.2
DO46560
45 years, female, NA, stage:IV, dead, 286 days
1625.4
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
1623.6
DO46398
66 years, female, NA, stage:III, alive, 437 days
1616.8
DO46518
62 years, female, NA, stage:III, alive, 2960 days
1598.4
DO46346
54 years, female, NA, stage:III, dead, 1187 days
1589.1
DO46404
55 years, female, NA, stage:III, dead, 690 days
1566.1
DO46468
67 years, female, NA, stage:III, alive, 2776 days
1534.9
DO46348
58 years, female, NA, stage:IV, dead, 287 days
1503.6
DO46602
74 years, female, NA, stage:III, dead, 205 days
1499.6
DO46366
65 years, female, NA, stage:III, dead, 2054 days
1495.1
DO46325
54 years, female, NA, stage:III, dead, 477 days
1493.5
DO46350
66 years, female, NA, stage:III, dead, 886 days
1472.2
DO46528
56 years, female, NA, stage:III, alive, 6139 days
1445.1
DO46328
52 years, female, NA, stage:III, dead, 972 days
1432.6
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
1424.3
DO46546
73 years, female, NA, stage:III, dead, 1889 days
1392.0
DO46551
58 years, female, NA, stage:III, dead, 1055 days
1390.6
DO46354
73 years, female, NA, stage:III, dead, 843 days
1369.5
DO46368
57 years, female, NA, stage:III, dead, 2879 days
1333.7
DO46372
39 years, female, NA, stage:III, dead, 1326 days
1315.7
DO46329
52 years, female, NA, stage:III, dead, 1699 days
1285.5
DO46374
69 years, female, NA, stage:III, dead, 1409 days
1210.0
DO46611
52 years, female, NA, stage:III, dead, 734 days
1194.6
DO46448
45 years, female, NA, stage:III, dead, 654 days
1165.9
DO46392
48 years, female, NA, stage:III, dead, 628 days
1134.1
DO46344
46 years, female, NA, stage:III, dead, 642 days
1017.3
DO46340
62 years, female, NA, stage:III, dead, 616 days
992.8
DO46378
59 years, female, NA, stage:III, alive, 843 days
973.3
DO46327
54 years, female, NA, stage:III, dead, 184 days
940.7
DO46332
56 years, female, NA, stage:III, dead, 689 days
937.5
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
930.2
DO46586
55 years, female, NA, stage:III, dead, 1019 days
922.8
DO46382
62 years, female, NA, stage:IV, dead, 311 days
874.5
DO46386
49 years, female, NA, stage:III, dead, 1162 days
865.7
DO46571
61 years, female, NA, stage:III, dead, 243 days
824.5
DO46396
64 years, female, NA, stage:III, dead, 583 days
814.7
DO46538
57 years, female, NA, stage:III, dead, 1527 days
768.2
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
0.6
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
0.3
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
0.2
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
0.2
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
0.2
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
0.1
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
0.1
340a3769-3031-41ae-bb08-a2f696_D2
Normal
0.1
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
0.0
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
-0.1
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
-0.1
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
-0.1
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
-0.1
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
-0.2
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
-0.2
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
-0.2
2f901c90-617e-46da-9fac-d68369_D2
Tumor
-0.2
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
-0.2
1db5574d-aca7-403c-8100-6e705f_D2
Normal
-0.2
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
-0.3
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
-0.3
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
-0.3
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
-0.3
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
-0.4
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
-0.4
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
-0.4
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
-0.4
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
-0.4
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
-0.4
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
-0.4
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
-0.5
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
-0.5
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
-0.5
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
-0.5
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
-0.5
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
-0.6
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
-0.6
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
-0.6
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
-0.7
10c2d629-0287-4511-ac25-f29031_D2
Tumor
-0.7
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
-0.7
1a10c200-3895-4648-b951-94f99f_D2
Tumor
-0.7
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
-0.7
15524912-685a-47ce-a824-567848_D2
Tumor
-0.7
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
-0.7
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
-0.7
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
-0.7
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
-0.7
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
-0.7
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
-0.7
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
-0.7
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
-0.7
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
-0.8
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
-0.8
1772e913-f62e-446a-8cf3-720348_D2
Tumor
-0.8
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
-0.8
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
-0.8
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
-0.8
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
-0.8
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
-0.8
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
-0.8
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
-0.8
161317f3-1a39-438e-af45-cd2502_D2
Tumor
-0.8
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
-0.8
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
-0.8
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
-0.8
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
-0.8
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
-0.8
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
-0.9
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
-0.9
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
-0.9
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
-0.9
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
-0.9
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
-0.9
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
-0.9
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
-0.9
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
-0.9
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
-0.9
e9d416e7-f661-400a-896e-388545_D2
Tumor
-1.0
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
-1.0
a3a26070-fb84-406a-8280-d555e6_D2
Normal
-1.0
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
-1.0
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
-1.0
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
-1.0
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
-1.1
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
-1.1
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
-1.1
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
-1.1
a65d8e76-640f-4341-a561-afbb57_D2
Normal
-1.1
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
-1.1
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-1.1
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
-1.1
285fed94-1495-448e-879b-b55de9_D2
Tumor
-1.2
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
-1.2
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
-1.2
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
-1.2
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
-1.2
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
-1.2
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
-1.2
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-1.2
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
-1.2
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
-1.2
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
-1.2
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-1.3
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
-1.4
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
-1.5
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
-1.6
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
-1.9
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
