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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 validated 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.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
2399.0
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
31423.9
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
19067.9
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
17100.6
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
13606.4
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
11725.0
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
9867.0
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
9214.1
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
9111.1
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
9078.1
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
8674.6
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
8397.7
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
7526.7
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
7453.5
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
7418.9
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
7189.1
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
7180.0
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
7043.6
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
6748.0
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
6398.2
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
6252.7
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
6201.8
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
6072.5
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
6026.0
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
5986.5
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
5966.6
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
5827.1
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
5738.3
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
5656.8
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
5605.8
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
5591.1
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
5506.3
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
5483.7
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
5459.0
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
5443.7
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
5169.9
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
5075.8
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
5062.6
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
5057.5
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
4953.8
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
4831.1
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
4801.4
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
4791.2
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
4719.3
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
4697.8
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
4696.7
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
4685.4
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
4490.6
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
4482.9
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
4474.5
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
4452.2
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
4438.9
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
4387.7
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
4381.0
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
4317.1
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
4181.1
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
4043.7
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
3953.3
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
3934.4
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
3838.7
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
3837.3
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
3815.4
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
3770.1
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
3759.8
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
3746.3
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
3722.0
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
3676.6
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
3653.3
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
3639.6
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
3579.3
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
3554.9
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
3494.3
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
3491.7
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
3466.6
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
3447.2
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
3386.1
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
3355.5
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
3325.7
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
3289.0
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
3275.6
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
3209.3
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
3153.9
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
3153.8
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
3143.1
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
3129.1
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
3095.9
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
3072.8
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
3061.5
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
3028.9
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
2988.1
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
2985.9
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
2976.6
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
2896.5
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
2783.2
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
2771.5
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
2749.8
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
2722.8
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
2705.6
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
2656.6
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
2641.2
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
2617.6
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
2602.1
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
2551.6
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
2503.8
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
2501.2
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
2489.1
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
2464.4
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
2464.1
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
2454.9
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
2439.7
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
2404.7
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
2404.7
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
2389.7
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
2385.8
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
2385.0
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
2383.0
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
2340.7
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
2290.3
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
2288.8
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
2286.1
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
2264.4
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
2256.2
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
2255.1
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
2225.4
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
2224.5
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
2222.0
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
2213.7
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
2206.9
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
2204.0
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
2189.5
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
2164.4
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
2139.1
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
2106.9
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
2055.1
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
2051.8
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
2048.1
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
1999.4
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
1996.7
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
1996.5
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
1992.3
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
1987.6
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
1986.0
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
1973.4
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
1965.5
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
1944.8
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
1939.1
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
1935.1
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
1924.8
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
1914.6
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
1883.8
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
1874.0
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
1867.6
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
1864.3
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
1847.4
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
1830.6
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
1829.2
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
1806.6
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
1803.3
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
1800.4
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
1798.0
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
1795.1
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
1781.7
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
1770.4
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
1765.7
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
1724.4
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
1705.9
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
1678.0
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
1677.9
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
1663.8
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
1657.1
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
1646.3
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
1643.1
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
1610.0
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
1596.2
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
1573.0
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
1549.7
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
1537.5
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
1522.9
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
1520.5
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
1517.2
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
1503.9
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
1491.5
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
1483.9
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
1482.0
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
1474.2
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
1443.9
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
1441.4
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
1437.2
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
1429.2
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
1427.0
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
1423.8
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
1417.8
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
1408.2
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
1405.0
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
1403.2
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
1389.1
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
1385.0
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
1373.4
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
1359.0
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
1355.6
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
1350.8
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
1339.7
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
1337.2
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
1319.3
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
1303.8
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
1287.0
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
1286.4
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
1280.2
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
1273.7
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
1273.6
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
1273.6
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
1271.3
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
1256.1
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
1244.4
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
1243.0
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
1233.5
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
1226.9
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
1225.1
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
1214.9
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
1207.9
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
1202.2
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
1195.7
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
1192.8
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
1192.7
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
1192.6
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
1182.4
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
1172.9
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
1169.1
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
1161.0
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
1150.7
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
1141.7
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
1134.1
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
1123.8
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
1122.6
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
1117.8
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
1115.0
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
1101.1
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
1076.7
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
1074.3
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
1043.7
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
1036.0
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
1032.0
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
1018.0
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
1013.7
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
997.0
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
992.5
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
991.9
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
990.1
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
982.1
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
976.1
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
961.7
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
947.1
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
943.4
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
940.0
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
933.3
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
931.0
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
922.4
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
912.1
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
899.4
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
878.9
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
873.5
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
867.0
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
859.3
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
835.5
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
827.6
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
815.4
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
803.1
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
797.7
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
796.5
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
796.1
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
788.6
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
781.5
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
781.4
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
778.8
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
775.3
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
775.3
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
767.8
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
767.2
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
760.7
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
750.8
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
738.1
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
732.8
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
729.5
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
720.8
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
706.4
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
703.2
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
700.8
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
699.7
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
688.4
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
671.4
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
667.0
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
663.2
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
649.7
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
629.1
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
619.4
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
613.3
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
611.6
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
600.1
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
595.7
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
588.6
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
572.4
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
564.3
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
564.3
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
560.5
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
558.1
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
530.5
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
529.3
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
526.8
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
525.2
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
516.5
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
516.3
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
472.7
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
464.1
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
461.3
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
458.1
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
423.7
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
415.5
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
365.5
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
342.5
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
290.1
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
288.9
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
287.4
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
283.8
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
280.4
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
278.6
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
266.9
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
261.8
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
234.7
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
232.7
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
209.9
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
208.5
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
199.7
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
168.9
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
167.9
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
166.7
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
147.2
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
145.3
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
139.7
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
126.9
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
123.4
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
92.1
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
90.9
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
88.4
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
80.3
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
71.3
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
58.6
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
36.6
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
33.6
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
19.2
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 validated prognostic, high expression is unfavorable in Ovary Serous Cystadenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
2029.6
Number of samples
81
Samples
Sample
Description
pTPM
DO46350
66 years, female, NA, stage:III, dead, 886 days
9017.3
DO46382
62 years, female, NA, stage:IV, dead, 311 days
7638.4
DO46390
65 years, female, NA, stage:III, dead, 374 days
7491.3
DO46376
58 years, female, NA, stage:III, dead, 1430 days
6680.9
DO46566
78 years, female, NA, stage:III, dead, 673 days
6491.6
DO46404
55 years, female, NA, stage:III, dead, 690 days
5733.3
DO46354
73 years, female, NA, stage:III, dead, 843 days
5442.6
DO46591
58 years, female, NA, stage:III, dead, 195 days
4914.6
DO46561
52 years, female, NA, stage:III, dead, 195 days
4319.8
DO46340
62 years, female, NA, stage:III, dead, 616 days
3568.0
DO46606
73 years, female, NA, stage:III, alive, 804 days
3480.5
DO46597
60 years, female, NA, stage:III, dead, 393 days
3411.5
DO46538
57 years, female, NA, stage:III, dead, 1527 days
3331.5
DO46533
46 years, female, NA, stage:III, alive, 3667 days
3298.3
DO46611
52 years, female, NA, stage:III, dead, 734 days
3235.4
DO46576
75 years, female, NA, stage:III, alive, 133 days
3122.7
DO46327
54 years, female, NA, stage:III, dead, 184 days
2749.3
DO46364
45 years, female, NA, stage:III, dead, 806 days
2690.7
DO46331
72 years, female, NA, stage:III, dead, 612 days
2658.5
DO46400
70 years, female, NA, stage:III, dead, 719 days
2633.6
DO46388
74 years, female, NA, stage:III, dead, 413 days
2522.6
DO46374
69 years, female, NA, stage:III, dead, 1409 days
2407.3
DO46346
54 years, female, NA, stage:III, dead, 1187 days
2367.0
DO46326
51 years, female, NA, stage:III, dead, 701 days
2333.2
DO46396
64 years, female, NA, stage:III, dead, 583 days
2242.8
DO46568
66 years, female, NA, stage:III, dead, 320 days
2175.6
DO46581
66 years, female, NA, stage:III, dead, 408 days
2164.2
DO46325
54 years, female, NA, stage:III, dead, 477 days
2073.3
DO46448
45 years, female, NA, stage:III, dead, 654 days
2025.3
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
2025.2
DO46348
58 years, female, NA, stage:IV, dead, 287 days
1999.2
DO46334
77 years, female, NA, stage:III, dead, 496 days
1986.0
DO46368
57 years, female, NA, stage:III, dead, 2879 days
1959.6
DO46356
68 years, female, NA, stage:III, dead, 911 days
1862.6
DO46408
56 years, female, NA, stage:III, dead, 489 days
1692.7
DO46329
52 years, female, NA, stage:III, dead, 1699 days
1666.2
DO46344
46 years, female, NA, stage:III, dead, 642 days
1649.5
DO46463
49 years, female, NA, stage:III, dead, 2451 days
1645.3
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
1585.4
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
1546.2
DO46366
65 years, female, NA, stage:III, dead, 2054 days
1455.2
DO46493
62 years, female, NA, stage:IV, alive, 839 days
1443.6
DO46370
54 years, female, NA, stage:III, dead, 1727 days
1420.8
DO46398
66 years, female, NA, stage:III, alive, 437 days
1401.1
DO46386
49 years, female, NA, stage:III, dead, 1162 days
1372.9
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
1369.4
DO46436
58 years, female, NA, stage:III, alive, 3193 days
1346.5
DO46378
59 years, female, NA, stage:III, alive, 843 days
1292.5
DO46342
67 years, female, NA, stage:III, dead, 1398 days
1210.4
DO46443
59 years, female, NA, stage:III, dead, 2464 days
1208.5
DO46551
58 years, female, NA, stage:III, dead, 1055 days
1186.1
DO46333
58 years, female, NA, stage:III, dead, 359 days
1101.8
DO46358
60 years, female, NA, stage:III, dead, 423 days
1059.4
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
994.5
DO46330
60 years, female, NA, stage:III, dead, 684 days
945.4
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
922.6
DO46402
77 years, female, NA, stage:III, dead, 511 days
911.9
DO46560
45 years, female, NA, stage:IV, dead, 286 days
885.2
DO46508
50 years, female, NA, stage:III, dead, 2101 days
860.4
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
850.2
DO46528
56 years, female, NA, stage:III, alive, 6139 days
836.3
DO46338
59 years, female, NA, stage:III, dead, 596 days
762.7
DO46468
67 years, female, NA, stage:III, alive, 2776 days
735.2
DO46571
61 years, female, NA, stage:III, dead, 243 days
723.6
DO46602
74 years, female, NA, stage:III, dead, 205 days
663.7
DO46432
56 years, female, NA, stage:III, alive, 2218 days
651.6
DO46362
61 years, female, NA, stage:III, dead, 1639 days
548.2
DO46546
73 years, female, NA, stage:III, dead, 1889 days
532.0
DO46336
70 years, female, NA, stage:IV, dead, 664 days
528.5
DO46380
51 years, female, NA, stage:III, dead, 1423 days
492.2
DO46412
64 years, female, NA, stage:III, dead, 597 days
470.0
DO46332
56 years, female, NA, stage:III, dead, 689 days
440.7
DO46372
39 years, female, NA, stage:III, dead, 1326 days
416.4
DO46352
60 years, female, NA, stage:III, dead, 677 days
362.1
DO46328
52 years, female, NA, stage:III, dead, 972 days
311.3
DO46384
55 years, female, NA, stage:III, dead, 614 days
255.0
DO46586
55 years, female, NA, stage:III, dead, 1019 days
227.1
DO46392
48 years, female, NA, stage:III, dead, 628 days
166.7
DO46518
62 years, female, NA, stage:III, alive, 2960 days
87.1
DO46453
66 years, female, NA, stage:III, dead, 3294 days
78.3
DO46588
74 years, female, NA, stage:III, dead, 438 days
35.2
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.
The Human Protein Atlas project is funded
