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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.
SLPI is potential prognostic, high expression is unfavorable 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.
0.00046
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.
21%
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
1939.4
Number of samples
349
Samples
Sample
Description
TPM
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
26071.0
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
15406.5
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
14298.6
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
11402.0
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
8661.2
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
8235.2
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
7585.5
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
7529.4
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
7474.7
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
7066.3
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
6988.6
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
6152.8
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
6118.7
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
5943.1
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
5903.0
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
5690.1
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
5585.3
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
5431.2
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
5278.3
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
5275.0
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
5040.7
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
4998.7
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
4963.0
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
4944.2
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
4785.1
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
4771.1
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
4672.0
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
4670.0
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
4641.9
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
4624.5
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
4551.5
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
4412.7
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
4322.3
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
4315.7
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
4228.8
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
4213.0
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
3903.2
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
3891.3
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
3854.8
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
3787.2
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
3768.9
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
3767.4
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
3764.8
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
3750.8
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
3745.0
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
3735.5
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
3684.7
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
3652.2
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
3637.9
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
3599.9
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
3520.7
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
3440.3
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
3386.4
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
3351.7
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
3237.8
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
3234.8
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
3233.9
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
3217.5
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
3185.6
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
3117.9
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
3107.8
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
3077.1
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
3062.5
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
3026.5
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
3026.5
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
3001.3
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
2957.8
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
2939.4
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
2901.0
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
2899.5
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
2850.0
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
2849.3
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
2844.0
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
2779.6
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
2778.3
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
2771.5
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
2752.0
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
2694.4
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
2638.5
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
2621.5
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
2616.6
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
2614.5
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
2610.1
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
2600.6
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
2587.0
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
2498.1
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
2464.8
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
2452.8
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
2439.4
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
2419.7
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
2391.6
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
2385.4
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
2273.1
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
2268.2
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
2242.6
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
2240.0
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
2200.5
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
2194.7
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
2181.1
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
2113.0
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
2109.1
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
2083.4
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
2073.8
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
2057.0
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
2026.2
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
2024.7
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
2006.9
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
2005.1
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
1997.1
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
1979.7
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
1972.7
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
1967.6
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
1965.5
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
1929.8
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
1927.9
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
1890.8
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
1884.7
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
1879.2
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
1873.2
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
1865.3
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
1848.9
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
1836.4
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
1829.4
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
1829.4
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
1802.6
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
1787.1
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
1758.0
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
1704.3
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
1646.3
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
1643.3
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
1639.5
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
1601.4
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
1587.5
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
1586.1
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
1575.8
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
1558.7
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
1546.2
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
1534.1
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
1532.2
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
1528.2
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
1517.4
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
1512.1
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
1502.5
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
1500.3
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
1498.6
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
1497.3
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
1495.0
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
1489.5
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
1481.5
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
1478.3
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
1472.2
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
1472.1
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
1469.0
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
1468.2
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
1458.9
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
1454.8
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
1449.6
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
1442.3
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
1437.6
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
1416.1
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
1409.6
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
1407.3
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
1402.8
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
1385.3
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
1383.1
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
1371.5
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
1351.7
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
1339.5
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
1331.8
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
1321.0
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
1301.1
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
1294.7
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
1281.5
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
1273.0
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
1268.1
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
1242.1
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
1232.5
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
1223.6
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
1222.7
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
1215.4
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
1204.6
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
1204.5
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
1204.0
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
1202.6
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
1199.0
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
1198.1
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
1172.8
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
1165.3
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
1163.6
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
1158.0
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
1155.8
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
1144.4
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
1140.3
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
1131.4
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
1126.3
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
1111.2
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
1104.7
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
1104.0
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
1082.3
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
1078.5
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
1071.9
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
1065.9
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
1048.2
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
1046.0
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
1042.8
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
1039.5
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
1036.9
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
1032.8
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
1030.2
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
1029.8
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
1019.2
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
1014.9
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
1007.4
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
998.8
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
990.1
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
982.8
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
980.2
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
975.4
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
972.2
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
962.6
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
961.1
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
960.5
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
959.8
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
959.3
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
949.2
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
945.4
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
943.0
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
917.6
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
914.3
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
914.2
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
912.4
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
904.8
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
889.4
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
882.5
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
874.7
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
870.3
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
869.8
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
868.6
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
862.2
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
851.0
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
850.6
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
840.9
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
823.2
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
816.1
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
810.5
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
800.7
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
798.3
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
794.9
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
787.6
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
771.1
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
769.9
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
764.6
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
757.2
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
738.5
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
707.4
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
704.4
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
698.8
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
693.8
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
692.4
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
688.5
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
669.8
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
656.2
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
651.5
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
648.2
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
645.5
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
641.5
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
641.4
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
641.1
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
640.2
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
636.5
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
634.5
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
622.6
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
621.3
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
613.4
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
611.3
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
609.3
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
599.0
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
597.4
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
596.0
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
590.7
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
588.2
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
580.9
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
578.4
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
577.2
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
560.8
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
557.6
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
548.8
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
542.5
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
515.1
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
512.8
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
505.5
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
502.3
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
488.7
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
486.3
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
472.1
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
468.0
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
467.7
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
465.5
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
461.0
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
460.2
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
455.6
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
445.3
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
444.6
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
444.1
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
442.5
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
431.9
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
428.7
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
428.0
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
426.9
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
426.5
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
392.9
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
386.1
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
384.7
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
363.2
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
354.1
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
343.2
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
289.8
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
261.5
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
241.7
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
239.5
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
236.0
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
229.8
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
227.8
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
225.7
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
216.3
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
215.6
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
195.7
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
191.5
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
173.8
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
166.5
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
158.4
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
140.2
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
137.9
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
120.2
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
120.0
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
114.6
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
113.4
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
103.5
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
99.4
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
73.9
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
73.1
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
64.7
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
64.4
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
57.3
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
48.4
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
27.6
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
27.0
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
15.7
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 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.
SLPI 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.
0.0039
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.
10%
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
1958.4
Number of samples
81
Samples
Sample
Description
TPM
DO46350
66 years, female, NA, stage:III, dead, 886 days
12240.9
DO46390
65 years, female, NA, stage:III, dead, 374 days
6985.8
DO46376
58 years, female, NA, stage:III, dead, 1430 days
6514.6
DO46591
58 years, female, NA, stage:III, dead, 195 days
5953.6
DO46382
62 years, female, NA, stage:IV, dead, 311 days
5829.8
DO46566
78 years, female, NA, stage:III, dead, 673 days
5338.3
DO46354
73 years, female, NA, stage:III, dead, 843 days
4871.0
DO46404
55 years, female, NA, stage:III, dead, 690 days
4416.4
DO46576
75 years, female, NA, stage:III, alive, 133 days
3834.8
DO46561
52 years, female, NA, stage:III, dead, 195 days
3549.3
DO46340
62 years, female, NA, stage:III, dead, 616 days
3177.0
DO46374
69 years, female, NA, stage:III, dead, 1409 days
3052.2
DO46597
60 years, female, NA, stage:III, dead, 393 days
2902.7
DO46331
72 years, female, NA, stage:III, dead, 612 days
2885.7
DO46538
57 years, female, NA, stage:III, dead, 1527 days
2788.0
DO46611
52 years, female, NA, stage:III, dead, 734 days
2781.4
DO46606
73 years, female, NA, stage:III, alive, 804 days
2723.3
DO46388
74 years, female, NA, stage:III, dead, 413 days
2553.0
DO46364
45 years, female, NA, stage:III, dead, 806 days
2418.2
DO46400
70 years, female, NA, stage:III, dead, 719 days
2345.1
DO46533
46 years, female, NA, stage:III, alive, 3667 days
2328.0
DO46327
54 years, female, NA, stage:III, dead, 184 days
2304.4
DO46368
57 years, female, NA, stage:III, dead, 2879 days
2285.5
DO46366
65 years, female, NA, stage:III, dead, 2054 days
2242.8
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
2209.3
DO46581
66 years, female, NA, stage:III, dead, 408 days
2163.8
DO46396
64 years, female, NA, stage:III, dead, 583 days
2151.8
DO46325
54 years, female, NA, stage:III, dead, 477 days
2078.9
DO46448
45 years, female, NA, stage:III, dead, 654 days
1939.5
DO46346
54 years, female, NA, stage:III, dead, 1187 days
1935.8
DO46356
68 years, female, NA, stage:III, dead, 911 days
1880.7
DO46326
51 years, female, NA, stage:III, dead, 701 days
1835.6
DO46334
77 years, female, NA, stage:III, dead, 496 days
1796.1
DO46568
66 years, female, NA, stage:III, dead, 320 days
1793.3
DO46493
62 years, female, NA, stage:IV, alive, 839 days
1706.5
DO46436
58 years, female, NA, stage:III, alive, 3193 days
1609.1
DO46342
67 years, female, NA, stage:III, dead, 1398 days
1602.7
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
1588.1
DO46386
49 years, female, NA, stage:III, dead, 1162 days
1577.5
DO46348
58 years, female, NA, stage:IV, dead, 287 days
1573.1
DO46329
52 years, female, NA, stage:III, dead, 1699 days
1543.8
DO46398
66 years, female, NA, stage:III, alive, 437 days
1532.0
DO46344
46 years, female, NA, stage:III, dead, 642 days
1478.5
DO46463
49 years, female, NA, stage:III, dead, 2451 days
1431.3
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
1406.7
DO46408
56 years, female, NA, stage:III, dead, 489 days
1374.3
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
1273.9
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
1261.0
DO46378
59 years, female, NA, stage:III, alive, 843 days
1244.2
DO46333
58 years, female, NA, stage:III, dead, 359 days
1220.6
DO46370
54 years, female, NA, stage:III, dead, 1727 days
1211.2
DO46358
60 years, female, NA, stage:III, dead, 423 days
1130.5
DO46551
58 years, female, NA, stage:III, dead, 1055 days
1096.1
DO46443
59 years, female, NA, stage:III, dead, 2464 days
1023.7
DO46402
77 years, female, NA, stage:III, dead, 511 days
1017.6
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
864.4
DO46432
56 years, female, NA, stage:III, alive, 2218 days
833.0
DO46528
56 years, female, NA, stage:III, alive, 6139 days
828.7
DO46560
45 years, female, NA, stage:IV, dead, 286 days
814.3
DO46468
67 years, female, NA, stage:III, alive, 2776 days
780.4
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
753.4
DO46330
60 years, female, NA, stage:III, dead, 684 days
751.9
DO46602
74 years, female, NA, stage:III, dead, 205 days
732.4
DO46571
61 years, female, NA, stage:III, dead, 243 days
709.9
DO46508
50 years, female, NA, stage:III, dead, 2101 days
694.5
DO46380
51 years, female, NA, stage:III, dead, 1423 days
656.8
DO46412
64 years, female, NA, stage:III, dead, 597 days
645.5
DO46338
59 years, female, NA, stage:III, dead, 596 days
594.5
DO46546
73 years, female, NA, stage:III, dead, 1889 days
574.0
DO46372
39 years, female, NA, stage:III, dead, 1326 days
541.0
DO46336
70 years, female, NA, stage:IV, dead, 664 days
536.9
DO46352
60 years, female, NA, stage:III, dead, 677 days
464.4
DO46332
56 years, female, NA, stage:III, dead, 689 days
422.5
DO46362
61 years, female, NA, stage:III, dead, 1639 days
388.8
DO46328
52 years, female, NA, stage:III, dead, 972 days
242.1
DO46384
55 years, female, NA, stage:III, dead, 614 days
234.8
DO46586
55 years, female, NA, stage:III, dead, 1019 days
193.2
DO46392
48 years, female, NA, stage:III, dead, 628 days
170.1
DO46453
66 years, female, NA, stage:III, dead, 3294 days
96.7
DO46518
62 years, female, NA, stage:III, alive, 2960 days
73.5
DO46588
74 years, female, NA, stage:III, dead, 438 days
25.2
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
6.4
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
4.9
2f901c90-617e-46da-9fac-d68369_D2
Tumor
3.1
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
2.7
161317f3-1a39-438e-af45-cd2502_D2
Tumor
2.3
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
2.2
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
2.0
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
1.9
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
1.8
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
1.2
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
1.2
285fed94-1495-448e-879b-b55de9_D2
Tumor
1.1
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
1.1
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
1.0
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
1.0
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
1.0
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
0.9
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
0.8
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
0.7
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
0.7
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
0.7
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
0.7
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
0.7
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
0.6
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
0.6
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
0.5
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
0.5
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
0.5
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
0.4
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
0.4
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
0.4
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
0.4
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
0.4
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
0.3
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
0.3
a3a26070-fb84-406a-8280-d555e6_D2
Normal
0.2
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
0.2
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
0.2
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
0.2
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
0.2
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
0.1
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
0.1
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
0.1
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
0.0
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
0.0
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
0.0
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
0.0
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
0.0
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-0.1
15524912-685a-47ce-a824-567848_D2
Tumor
-0.1
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
-0.1
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
-0.1
a65d8e76-640f-4341-a561-afbb57_D2
Normal
-0.2
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
-0.2
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
-0.3
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
-0.3
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
-0.4
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
-0.4
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
-0.5
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
-0.6
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
-0.6
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
-0.6
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
-0.6
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
-0.6
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
-0.6
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
-0.8
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
-0.8
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
-0.8
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
-0.8
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
-0.9
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
-0.9
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
-1.0
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
-1.0
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
-1.0
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
-1.0
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
-1.0
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
-1.1
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
-1.1
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
-1.1
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
-1.1
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
-1.1
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
-1.2
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
-1.2
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
-1.2
1db5574d-aca7-403c-8100-6e705f_D2
Normal
-1.2
e9d416e7-f661-400a-896e-388545_D2
Tumor
-1.2
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
-1.3
340a3769-3031-41ae-bb08-a2f696_D2
Normal
-1.3
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
-1.3
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
-1.3
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-1.4
1a10c200-3895-4648-b951-94f99f_D2
Tumor
-1.4
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
-1.5
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
-1.5
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
-1.5
1772e913-f62e-446a-8cf3-720348_D2
Tumor
-1.6
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
-1.6
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-1.7
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
-1.7
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
-1.7
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
-1.7
10c2d629-0287-4511-ac25-f29031_D2
Tumor
-1.8
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
-1.9
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
-2.1
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
-2.1
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
-2.2
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
-2.2
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
-3.5
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.