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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.
CST3 is not prognostic in Ovary Serous Cystadenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 2.67
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.37
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.
28%
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.
33%
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
947.3
Number of samples
349
Samples
Sample
Description
TPM
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
3232.5
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
2821.5
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
2764.9
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
2245.3
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
2235.3
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
2223.1
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
2222.7
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
2188.7
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
2138.9
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
2119.7
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
2079.4
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
2054.4
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
2023.5
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
1966.8
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
1927.0
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
1912.1
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
1907.1
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
1891.4
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
1890.5
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
1876.5
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
1871.9
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
1861.0
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
1848.4
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
1831.5
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
1805.6
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
1792.5
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
1740.9
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
1740.9
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
1724.1
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
1696.5
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
1673.7
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
1661.7
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
1660.8
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
1659.4
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
1644.5
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
1600.2
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
1576.2
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
1576.0
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
1573.7
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
1570.6
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
1567.5
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
1548.0
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
1532.4
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
1519.0
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
1497.3
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
1491.6
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
1487.0
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
1472.7
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
1465.5
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
1463.7
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
1459.4
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
1452.2
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
1439.0
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
1436.9
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
1423.5
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
1421.5
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
1396.7
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
1391.9
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
1370.4
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
1365.0
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
1359.6
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
1355.2
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
1353.6
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
1352.1
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
1331.1
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
1319.1
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
1317.8
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
1313.8
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
1310.4
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
1300.8
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
1293.0
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
1285.7
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
1277.1
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
1265.6
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
1258.9
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
1253.0
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
1251.4
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
1247.2
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
1246.8
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
1243.5
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
1234.1
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
1229.4
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
1229.3
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
1228.0
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
1224.9
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
1224.3
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
1223.7
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
1216.4
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
1214.7
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
1203.0
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
1191.1
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
1188.7
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
1188.3
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
1181.3
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
1177.8
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
1167.0
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
1158.8
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
1135.7
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
1133.6
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
1119.3
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
1107.0
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
1102.6
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
1094.7
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
1093.6
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
1089.8
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
1089.6
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
1074.2
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
1068.1
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
1063.1
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
1057.9
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
1051.2
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
1046.4
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
1041.1
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
1041.0
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
1039.0
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
1036.8
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
1035.2
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
1030.1
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
1029.6
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
1016.8
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
997.7
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
986.2
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
983.0
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
982.1
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
980.9
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
979.1
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
976.4
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
971.7
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
966.3
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
962.9
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
956.4
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
955.8
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
948.9
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
946.7
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
940.4
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
927.6
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
926.2
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
924.9
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
924.6
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
923.9
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
920.3
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
919.5
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
916.5
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
913.1
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
913.0
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
912.1
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
908.5
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
904.6
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
892.9
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
877.4
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
876.2
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
871.4
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
870.5
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
864.8
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
863.3
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
862.2
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
856.8
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
855.1
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
851.8
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
843.9
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
843.5
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
841.8
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
839.0
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
835.0
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
827.2
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
816.3
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
815.8
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
814.6
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
814.5
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
812.9
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
812.8
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
811.9
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
810.5
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
807.0
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
805.3
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
803.9
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
802.2
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
800.7
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
797.2
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
797.0
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
796.7
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
796.6
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
796.1
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
796.0
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
791.8
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
791.7
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
782.8
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
781.0
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
780.1
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
778.6
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
778.2
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
777.2
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
776.7
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
767.1
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
765.3
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
763.3
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
762.9
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
762.1
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
761.6
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
754.8
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
752.4
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
751.1
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
744.0
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
743.8
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
743.1
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
740.9
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
737.2
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
734.3
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
731.1
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
728.4
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
725.4
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
722.9
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
718.5
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
715.9
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
712.8
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
712.5
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
709.0
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
707.4
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
706.9
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
705.1
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
702.4
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
700.5
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
697.3
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
696.6
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
695.8
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
695.5
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
694.9
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
694.3
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
693.8
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
691.6
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
688.6
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
688.6
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
687.4
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
683.0
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
682.8
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
678.9
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
678.7
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
677.8
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
676.8
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
676.1
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
675.7
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
670.9
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
670.0
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
669.7
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
668.3
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
663.6
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
663.0
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
661.2
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
655.3
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
649.8
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
648.6
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
648.1
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
646.0
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
645.8
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
641.2
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
636.3
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
635.8
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
634.5
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
634.4
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
633.3
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
631.0
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
623.0
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
621.5
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
617.5
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
614.1
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
613.8
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
596.0
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
594.8
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
591.3
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
586.8
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
585.0
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
582.7
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
582.4
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
582.0
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
581.2
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
580.2
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
571.7
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
566.9
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
563.3
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
559.0
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
556.2
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
555.8
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
553.0
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
549.7
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
549.5
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
548.4
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
545.3
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
542.7
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
542.4
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
539.8
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
538.2
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
537.6
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
535.0
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
533.7
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
531.8
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
530.4
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
529.6
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
529.4
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
525.0
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
522.9
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
520.5
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
519.7
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
519.2
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
516.7
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
514.5
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
513.9
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
504.8
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
494.7
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
487.7
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
479.8
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
479.5
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
469.5
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
466.8
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
460.7
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
457.6
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
452.9
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
442.9
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
440.2
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
433.5
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
427.1
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
425.8
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
420.6
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
420.0
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
419.4
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
417.1
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
410.2
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
406.8
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
385.1
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
384.5
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
382.4
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
381.4
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
373.5
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
372.3
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
371.6
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
370.0
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
356.1
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
355.5
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
337.0
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
332.6
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
329.6
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
328.2
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
324.4
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
315.2
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
310.1
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
290.8
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
274.1
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
244.5
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
243.1
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 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.
CST3 is not prognostic in Ovary Serous Cystadenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 2.2
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.18
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.
22%
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
35%
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
457.8
Number of samples
81
Samples
Sample
Description
TPM
DO46366
65 years, female, NA, stage:III, dead, 2054 days
1446.1
DO46463
49 years, female, NA, stage:III, dead, 2451 days
1284.8
DO46611
52 years, female, NA, stage:III, dead, 734 days
1193.6
DO46333
58 years, female, NA, stage:III, dead, 359 days
1106.1
DO46390
65 years, female, NA, stage:III, dead, 374 days
1025.7
DO46352
60 years, female, NA, stage:III, dead, 677 days
980.3
DO46591
58 years, female, NA, stage:III, dead, 195 days
972.1
DO46329
52 years, female, NA, stage:III, dead, 1699 days
893.8
DO46402
77 years, female, NA, stage:III, dead, 511 days
863.0
DO46453
66 years, female, NA, stage:III, dead, 3294 days
847.7
DO46576
75 years, female, NA, stage:III, alive, 133 days
792.4
DO46398
66 years, female, NA, stage:III, alive, 437 days
756.5
DO46350
66 years, female, NA, stage:III, dead, 886 days
709.2
DO46468
67 years, female, NA, stage:III, alive, 2776 days
646.9
DO46374
69 years, female, NA, stage:III, dead, 1409 days
602.4
DO46443
59 years, female, NA, stage:III, dead, 2464 days
576.5
DO46356
68 years, female, NA, stage:III, dead, 911 days
574.9
DO46436
58 years, female, NA, stage:III, alive, 3193 days
533.8
DO46581
66 years, female, NA, stage:III, dead, 408 days
526.9
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
521.3
DO46358
60 years, female, NA, stage:III, dead, 423 days
514.9
DO46376
58 years, female, NA, stage:III, dead, 1430 days
513.9
DO46571
61 years, female, NA, stage:III, dead, 243 days
512.4
DO46338
59 years, female, NA, stage:III, dead, 596 days
489.2
DO46340
62 years, female, NA, stage:III, dead, 616 days
484.4
DO46412
64 years, female, NA, stage:III, dead, 597 days
483.6
DO46330
60 years, female, NA, stage:III, dead, 684 days
480.9
DO46368
57 years, female, NA, stage:III, dead, 2879 days
479.5
DO46432
56 years, female, NA, stage:III, alive, 2218 days
476.2
DO46528
56 years, female, NA, stage:III, alive, 6139 days
451.0
DO46382
62 years, female, NA, stage:IV, dead, 311 days
444.2
DO46493
62 years, female, NA, stage:IV, alive, 839 days
441.5
DO46344
46 years, female, NA, stage:III, dead, 642 days
434.0
DO46334
77 years, female, NA, stage:III, dead, 496 days
428.2
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
426.7
DO46342
67 years, female, NA, stage:III, dead, 1398 days
421.3
DO46372
39 years, female, NA, stage:III, dead, 1326 days
412.9
DO46362
61 years, female, NA, stage:III, dead, 1639 days
411.6
DO46331
72 years, female, NA, stage:III, dead, 612 days
408.5
DO46378
59 years, female, NA, stage:III, alive, 843 days
407.6
DO46606
73 years, female, NA, stage:III, alive, 804 days
403.4
DO46364
45 years, female, NA, stage:III, dead, 806 days
397.4
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
394.2
DO46388
74 years, female, NA, stage:III, dead, 413 days
393.7
DO46602
74 years, female, NA, stage:III, dead, 205 days
387.9
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
375.7
DO46568
66 years, female, NA, stage:III, dead, 320 days
366.1
DO46386
49 years, female, NA, stage:III, dead, 1162 days
364.8
DO46346
54 years, female, NA, stage:III, dead, 1187 days
344.9
DO46546
73 years, female, NA, stage:III, dead, 1889 days
341.7
DO46328
52 years, female, NA, stage:III, dead, 972 days
341.0
DO46597
60 years, female, NA, stage:III, dead, 393 days
338.2
DO46326
51 years, female, NA, stage:III, dead, 701 days
335.1
DO46396
64 years, female, NA, stage:III, dead, 583 days
326.5
DO46560
45 years, female, NA, stage:IV, dead, 286 days
321.0
DO46325
54 years, female, NA, stage:III, dead, 477 days
308.2
DO46448
45 years, female, NA, stage:III, dead, 654 days
305.8
DO46551
58 years, female, NA, stage:III, dead, 1055 days
301.7
DO46332
56 years, female, NA, stage:III, dead, 689 days
300.6
DO46400
70 years, female, NA, stage:III, dead, 719 days
289.9
DO46408
56 years, female, NA, stage:III, dead, 489 days
279.3
DO46380
51 years, female, NA, stage:III, dead, 1423 days
278.5
DO46348
58 years, female, NA, stage:IV, dead, 287 days
276.8
DO46404
55 years, female, NA, stage:III, dead, 690 days
275.9
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
257.0
DO46586
55 years, female, NA, stage:III, dead, 1019 days
235.1
DO46588
74 years, female, NA, stage:III, dead, 438 days
233.3
DO46336
70 years, female, NA, stage:IV, dead, 664 days
227.2
DO46538
57 years, female, NA, stage:III, dead, 1527 days
218.6
DO46370
54 years, female, NA, stage:III, dead, 1727 days
216.1
DO46508
50 years, female, NA, stage:III, dead, 2101 days
202.1
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
192.4
DO46354
73 years, female, NA, stage:III, dead, 843 days
190.6
DO46566
78 years, female, NA, stage:III, dead, 673 days
164.0
DO46384
55 years, female, NA, stage:III, dead, 614 days
163.4
DO46392
48 years, female, NA, stage:III, dead, 628 days
143.5
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
141.6
DO46533
46 years, female, NA, stage:III, alive, 3667 days
140.4
DO46327
54 years, female, NA, stage:III, dead, 184 days
133.1
DO46561
52 years, female, NA, stage:III, dead, 195 days
111.3
DO46518
62 years, female, NA, stage:III, alive, 2960 days
87.5
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
2.8
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
2.2
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
1.9
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
1.8
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
1.6
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
1.5
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
1.5
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
1.3
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
1.3
285fed94-1495-448e-879b-b55de9_D2
Tumor
1.3
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
1.2
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
1.1
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
1.1
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
1.0
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
1.0
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
1.0
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
1.0
15524912-685a-47ce-a824-567848_D2
Tumor
0.9
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
0.9
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
0.9
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
0.9
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
0.8
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
0.8
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
0.8
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
0.8
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
0.8
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
0.8
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
0.8
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
0.7
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
0.7
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
0.7
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
0.7
2f901c90-617e-46da-9fac-d68369_D2
Tumor
0.7
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
0.7
340a3769-3031-41ae-bb08-a2f696_D2
Normal
0.7
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
0.7
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
0.6
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
0.6
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
0.6
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
0.6
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
0.6
161317f3-1a39-438e-af45-cd2502_D2
Tumor
0.6
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
0.6
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
0.6
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
0.6
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
0.6
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
0.6
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
0.6
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
0.6
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
0.5
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
0.5
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
0.5
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
0.5
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
0.5
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
0.5
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
0.5
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
0.4
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
0.4
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
0.4
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
0.4
1db5574d-aca7-403c-8100-6e705f_D2
Normal
0.4
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
0.4
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
0.4
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
0.4
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
0.4
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
0.4
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
0.4
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
0.3
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
0.3
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
0.3
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
0.3
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
0.3
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
0.3
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
0.3
a3a26070-fb84-406a-8280-d555e6_D2
Normal
0.2
e9d416e7-f661-400a-896e-388545_D2
Tumor
0.2
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
0.2
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
0.2
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
0.2
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
0.2
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
0.2
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
0.2
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
0.2
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
0.1
10c2d629-0287-4511-ac25-f29031_D2
Tumor
0.1
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
0.1
21efd60f-6a31-4b98-9477-16a905_D2
Normal
0.1
1772e913-f62e-446a-8cf3-720348_D2
Tumor
0.1
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
0.1
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
0.1
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
0.0
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
0.0
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
-0.1
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
-0.1
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
-0.1
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
-0.1
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
-0.1
1a10c200-3895-4648-b951-94f99f_D2
Tumor
-0.2
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
-0.2
a65d8e76-640f-4341-a561-afbb57_D2
Normal
-0.2
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
-0.3
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
-0.3
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
-0.3
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
-0.3
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
-0.3
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
-0.3
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
-0.4
28d0abdb-f682-4bd3-9425-a9c508_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
