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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.
RPS3 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
1891.2
Number of samples
349
Samples
Sample
Description
TPM
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
7100.3
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
6526.2
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
6255.6
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
5930.7
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
5401.7
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
5265.3
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
5223.9
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
5155.7
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
4762.7
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
4740.8
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
4710.2
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
4616.1
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
4541.5
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
4281.4
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
4182.7
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
4141.7
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
4097.3
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
4033.9
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
3993.9
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
3948.8
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
3929.6
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
3890.6
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
3874.7
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
3777.1
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
3758.0
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
3691.9
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
3638.4
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
3615.6
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
3566.7
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
3530.6
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
3529.4
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
3492.0
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
3326.5
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
3251.8
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
3192.3
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
3164.9
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
3157.4
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
3117.5
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
3094.5
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
3087.3
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
3073.8
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
3044.5
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
3032.9
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
3021.5
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
3019.3
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
3014.4
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
3008.5
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
3002.8
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
2962.6
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
2952.3
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
2931.4
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
2931.2
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
2902.6
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
2899.9
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
2894.5
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
2879.7
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
2877.6
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
2863.7
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
2818.8
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
2800.7
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
2791.4
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
2782.9
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
2777.7
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
2766.3
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
2742.5
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
2715.9
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
2703.8
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
2703.6
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
2676.2
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
2667.9
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
2666.8
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
2664.4
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
2638.1
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
2636.3
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
2631.1
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
2630.9
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
2626.5
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
2599.7
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
2598.3
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
2584.7
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
2574.7
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
2566.8
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
2525.1
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
2505.8
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
2501.5
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
2497.6
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
2492.8
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
2484.6
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
2448.7
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
2388.1
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
2349.8
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
2335.9
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
2320.5
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
2319.8
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
2311.9
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
2310.5
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
2293.9
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
2292.7
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
2292.0
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
2265.8
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
2245.9
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
2209.9
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
2204.1
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
2182.1
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
2175.7
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
2173.1
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
2167.4
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
2167.3
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
2161.1
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
2152.2
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
2146.3
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
2141.2
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
2134.7
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
2130.3
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
2124.8
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
2120.7
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
2111.0
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
2106.5
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
2104.1
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
2096.6
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
2085.0
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
2074.0
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
2071.2
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
2058.6
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
2015.2
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
2006.1
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
1995.0
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
1991.8
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
1987.0
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
1985.6
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
1984.2
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
1980.6
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
1977.3
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
1952.9
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
1949.3
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
1947.1
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
1941.7
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
1912.3
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
1905.4
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
1901.2
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
1894.7
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
1878.9
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
1867.5
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
1853.4
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
1832.9
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
1824.5
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
1813.5
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
1811.0
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
1809.2
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
1802.3
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
1797.4
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
1788.2
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
1787.1
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
1785.6
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
1774.5
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
1771.4
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
1767.8
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
1765.1
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
1755.9
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
1751.3
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
1742.6
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
1733.7
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
1732.4
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
1721.3
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
1710.6
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
1699.8
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
1687.6
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
1687.1
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
1684.5
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
1680.8
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
1678.7
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
1665.9
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
1648.4
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
1639.1
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
1631.2
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
1630.5
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
1628.9
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
1613.2
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
1586.3
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
1556.5
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
1553.2
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
1547.1
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
1543.5
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
1539.7
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
1533.5
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
1523.9
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
1523.4
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
1519.0
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
1517.7
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
1512.5
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
1511.7
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
1500.8
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
1500.5
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
1493.8
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
1483.6
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
1480.3
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
1479.9
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
1475.7
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
1474.4
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
1464.1
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
1460.4
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
1455.8
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
1423.9
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
1421.7
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
1420.5
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
1385.2
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
1384.2
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
1380.5
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
1380.3
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
1379.9
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
1372.2
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
1372.1
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
1371.0
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
1367.2
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
1359.2
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
1353.5
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
1351.2
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
1330.8
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
1326.7
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
1325.9
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
1319.4
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
1318.2
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
1309.7
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
1308.7
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
1290.8
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
1275.1
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
1274.4
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
1272.9
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
1257.1
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
1256.6
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
1248.0
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
1239.7
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
1233.8
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
1231.2
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
1223.8
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
1222.1
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
1214.2
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
1211.0
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
1206.3
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
1203.9
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
1201.1
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
1196.8
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
1194.8
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
1191.7
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
1187.4
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
1174.7
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
1174.2
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
1158.2
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
1157.0
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
1148.2
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
1138.1
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
1138.0
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
1137.4
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
1134.5
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
1120.5
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
1118.4
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
1117.6
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
1112.2
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
1109.6
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
1106.3
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
1104.3
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
1098.7
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
1086.4
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
1084.1
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
1076.8
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
1074.0
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
1073.7
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
1073.3
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
1072.0
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
1068.7
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
1063.5
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
1054.1
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
1052.0
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
1050.8
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
1038.6
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
1036.3
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
1020.1
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
1018.4
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
1017.4
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
1000.3
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
995.9
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
987.2
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
986.0
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
976.7
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
973.8
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
963.7
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
942.3
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
942.3
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
937.1
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
936.6
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
934.2
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
923.0
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
915.2
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
914.4
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
907.6
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
894.2
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
889.7
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
887.2
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
870.5
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
867.0
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
863.2
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
862.5
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
858.4
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
853.7
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
846.7
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
841.0
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
837.1
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
836.6
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
830.8
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
830.5
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
816.0
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
793.9
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
792.6
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
787.5
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
786.9
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
763.5
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
759.9
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
750.8
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
744.4
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
728.0
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
724.6
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
705.3
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
686.7
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
685.9
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
681.4
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
669.5
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
666.0
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
655.7
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
645.7
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
640.3
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
639.8
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
635.9
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
635.5
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
635.3
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
605.6
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
601.2
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
592.1
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
591.0
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
571.0
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
550.5
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
516.4
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
487.2
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
469.6
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
465.3
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
453.4
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
422.4
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
388.8
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
351.9
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.
RPS3 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
3265.9
Number of samples
81
Samples
Sample
Description
TPM
DO46356
68 years, female, NA, stage:III, dead, 911 days
7356.0
DO46331
72 years, female, NA, stage:III, dead, 612 days
6983.0
DO46453
66 years, female, NA, stage:III, dead, 3294 days
6910.9
DO46333
58 years, female, NA, stage:III, dead, 359 days
6747.3
DO46390
65 years, female, NA, stage:III, dead, 374 days
6661.6
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
6431.5
DO46384
55 years, female, NA, stage:III, dead, 614 days
6358.3
DO46366
65 years, female, NA, stage:III, dead, 2054 days
6028.8
DO46493
62 years, female, NA, stage:IV, alive, 839 days
5776.8
DO46380
51 years, female, NA, stage:III, dead, 1423 days
5594.1
DO46576
75 years, female, NA, stage:III, alive, 133 days
5110.5
DO46591
58 years, female, NA, stage:III, dead, 195 days
4918.8
DO46342
67 years, female, NA, stage:III, dead, 1398 days
4831.2
DO46538
57 years, female, NA, stage:III, dead, 1527 days
4698.8
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
4512.6
DO46611
52 years, female, NA, stage:III, dead, 734 days
4437.6
DO46328
52 years, female, NA, stage:III, dead, 972 days
4431.7
DO46463
49 years, female, NA, stage:III, dead, 2451 days
4407.3
DO46581
66 years, female, NA, stage:III, dead, 408 days
4406.1
DO46370
54 years, female, NA, stage:III, dead, 1727 days
4271.5
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
4184.9
DO46352
60 years, female, NA, stage:III, dead, 677 days
4122.4
DO46338
59 years, female, NA, stage:III, dead, 596 days
4098.1
DO46392
48 years, female, NA, stage:III, dead, 628 days
3998.9
DO46329
52 years, female, NA, stage:III, dead, 1699 days
3912.8
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
3752.2
DO46518
62 years, female, NA, stage:III, alive, 2960 days
3750.3
DO46443
59 years, female, NA, stage:III, dead, 2464 days
3475.1
DO46378
59 years, female, NA, stage:III, alive, 843 days
3417.2
DO46325
54 years, female, NA, stage:III, dead, 477 days
3310.8
DO46364
45 years, female, NA, stage:III, dead, 806 days
3301.5
DO46376
58 years, female, NA, stage:III, dead, 1430 days
3165.0
DO46372
39 years, female, NA, stage:III, dead, 1326 days
3072.4
DO46508
50 years, female, NA, stage:III, dead, 2101 days
3060.8
DO46533
46 years, female, NA, stage:III, alive, 3667 days
3041.1
DO46336
70 years, female, NA, stage:IV, dead, 664 days
3035.7
DO46597
60 years, female, NA, stage:III, dead, 393 days
2976.1
DO46326
51 years, female, NA, stage:III, dead, 701 days
2967.1
DO46374
69 years, female, NA, stage:III, dead, 1409 days
2959.8
DO46334
77 years, female, NA, stage:III, dead, 496 days
2907.1
DO46560
45 years, female, NA, stage:IV, dead, 286 days
2853.4
DO46566
78 years, female, NA, stage:III, dead, 673 days
2816.5
DO46568
66 years, female, NA, stage:III, dead, 320 days
2763.9
DO46402
77 years, female, NA, stage:III, dead, 511 days
2743.8
DO46404
55 years, female, NA, stage:III, dead, 690 days
2673.5
DO46386
49 years, female, NA, stage:III, dead, 1162 days
2628.4
DO46586
55 years, female, NA, stage:III, dead, 1019 days
2604.7
DO46561
52 years, female, NA, stage:III, dead, 195 days
2601.2
DO46362
61 years, female, NA, stage:III, dead, 1639 days
2551.6
DO46344
46 years, female, NA, stage:III, dead, 642 days
2433.2
DO46346
54 years, female, NA, stage:III, dead, 1187 days
2417.8
DO46350
66 years, female, NA, stage:III, dead, 886 days
2392.7
DO46448
45 years, female, NA, stage:III, dead, 654 days
2356.2
DO46327
54 years, female, NA, stage:III, dead, 184 days
2354.9
DO46400
70 years, female, NA, stage:III, dead, 719 days
2317.3
DO46528
56 years, female, NA, stage:III, alive, 6139 days
2243.3
DO46412
64 years, female, NA, stage:III, dead, 597 days
2242.4
DO46354
73 years, female, NA, stage:III, dead, 843 days
2231.5
DO46546
73 years, female, NA, stage:III, dead, 1889 days
2216.2
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
2200.6
DO46330
60 years, female, NA, stage:III, dead, 684 days
2171.0
DO46551
58 years, female, NA, stage:III, dead, 1055 days
2142.5
DO46388
74 years, female, NA, stage:III, dead, 413 days
2125.6
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
2114.5
DO46432
56 years, female, NA, stage:III, alive, 2218 days
2089.5
DO46398
66 years, female, NA, stage:III, alive, 437 days
2086.6
DO46368
57 years, female, NA, stage:III, dead, 2879 days
1995.9
DO46571
61 years, female, NA, stage:III, dead, 243 days
1856.2
DO46602
74 years, female, NA, stage:III, dead, 205 days
1831.2
DO46436
58 years, female, NA, stage:III, alive, 3193 days
1753.9
DO46382
62 years, female, NA, stage:IV, dead, 311 days
1612.5
DO46358
60 years, female, NA, stage:III, dead, 423 days
1585.5
DO46332
56 years, female, NA, stage:III, dead, 689 days
1556.8
DO46468
67 years, female, NA, stage:III, alive, 2776 days
1551.2
DO46396
64 years, female, NA, stage:III, dead, 583 days
1528.6
DO46588
74 years, female, NA, stage:III, dead, 438 days
1464.9
DO46606
73 years, female, NA, stage:III, alive, 804 days
1452.9
DO46340
62 years, female, NA, stage:III, dead, 616 days
1410.6
DO46348
58 years, female, NA, stage:IV, dead, 287 days
1380.1
DO46408
56 years, female, NA, stage:III, dead, 489 days
1042.0
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
763.6
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
0.9
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
0.9
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
0.8
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
0.8
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
0.8
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
0.8
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
0.7
161317f3-1a39-438e-af45-cd2502_D2
Tumor
0.7
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
0.7
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
0.7
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
0.7
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
0.6
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
0.6
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
0.6
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
0.6
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
0.6
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
0.6
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
0.6
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
0.6
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
0.5
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
0.5
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
0.5
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
0.5
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
0.5
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
0.5
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
0.5
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
0.4
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
0.4
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
0.4
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
0.4
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
0.4
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
0.4
285fed94-1495-448e-879b-b55de9_D2
Tumor
0.4
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
0.4
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
0.4
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
0.4
15524912-685a-47ce-a824-567848_D2
Tumor
0.4
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
0.4
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
0.4
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
0.4
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
0.4
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
0.4
2f901c90-617e-46da-9fac-d68369_D2
Tumor
0.4
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
0.4
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
0.4
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
0.3
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
0.3
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
0.3
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
0.3
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
0.3
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
0.3
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
0.3
1a10c200-3895-4648-b951-94f99f_D2
Tumor
0.3
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
0.3
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
0.3
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
0.3
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
0.3
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
0.3
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
0.3
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
0.3
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
0.3
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
0.3
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
0.3
10c2d629-0287-4511-ac25-f29031_D2
Tumor
0.3
1772e913-f62e-446a-8cf3-720348_D2
Tumor
0.3
e9d416e7-f661-400a-896e-388545_D2
Tumor
0.3
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
0.3
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
0.3
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
0.2
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
0.2
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
0.2
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
0.2
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
0.2
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
0.2
a3a26070-fb84-406a-8280-d555e6_D2
Normal
0.2
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
0.2
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
0.2
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
0.2
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
0.1
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
0.1
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
0.1
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
0.1
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
0.1
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
0.1
a65d8e76-640f-4341-a561-afbb57_D2
Normal
0.1
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
0.1
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
0.1
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
0.1
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
0.1
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
0.1
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
0.0
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
0.0
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
0.0
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
0.0
340a3769-3031-41ae-bb08-a2f696_D2
Normal
0.0
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
0.0
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
0.0
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
0.0
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
-0.1
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
-0.1
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-0.1
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-0.1
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
-0.1
1db5574d-aca7-403c-8100-6e705f_D2
Normal
-0.2
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-0.3
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
-0.3
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
-0.3
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
-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
