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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.
S100A6 is not prognostic in Ovary Serous Cystadenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
2501.9
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
34118.1
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
32940.9
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
22270.0
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
15929.2
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
14237.4
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
13822.6
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
12426.7
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
12043.9
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
9544.5
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
8324.4
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
8243.8
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
8192.2
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
7972.0
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
7100.5
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
6890.1
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
6838.7
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
6791.1
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
6636.3
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
6424.1
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
6313.6
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
6151.1
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
6134.4
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
6015.1
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
5911.7
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
5872.2
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
5754.3
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
5752.5
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
5704.9
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
5658.6
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
5578.7
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
5482.1
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
5406.5
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
5298.5
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
5287.0
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
5193.0
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
4936.3
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
4916.4
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
4856.8
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
4808.3
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
4780.6
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
4716.2
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
4696.5
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
4605.2
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
4604.3
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
4602.7
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
4544.2
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
4468.7
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
4461.1
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
4404.7
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
4381.9
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
4283.8
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
4006.3
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
3998.9
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
3933.6
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
3892.9
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
3805.5
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
3796.3
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
3761.3
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
3705.5
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
3691.5
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
3666.8
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
3571.0
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
3567.1
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
3565.6
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
3515.9
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
3513.2
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
3490.8
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
3476.6
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
3453.6
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
3422.8
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
3393.5
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
3332.0
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
3308.0
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
3298.3
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
3276.6
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
3253.1
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
3183.8
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
3136.1
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
3124.6
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
3098.6
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
3038.8
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
2997.7
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
2993.2
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
2917.1
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
2914.1
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
2901.4
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
2892.0
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
2874.0
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
2867.1
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
2796.4
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
2771.0
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
2761.5
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
2749.0
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
2748.8
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
2735.2
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
2724.3
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
2689.1
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
2689.0
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
2643.6
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
2609.1
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
2608.1
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
2594.2
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
2586.0
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
2584.0
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
2547.5
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
2546.3
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
2532.1
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
2455.9
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
2455.3
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
2452.2
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
2449.0
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
2447.1
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
2440.6
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
2438.7
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
2409.8
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
2403.0
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
2394.3
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
2391.2
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
2373.0
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
2368.6
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
2346.0
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
2333.6
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
2323.1
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
2320.8
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
2293.1
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
2287.7
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
2274.6
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
2265.5
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
2256.9
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
2246.2
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
2246.1
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
2179.8
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
2176.8
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
2172.9
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
2168.2
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
2162.7
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
2152.0
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
2108.0
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
2093.2
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
2084.3
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
2061.4
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
2060.4
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
2029.4
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
2028.6
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
2009.9
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
2000.6
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
1969.7
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
1965.5
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
1959.9
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
1955.1
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
1929.3
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
1919.9
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
1915.3
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
1908.7
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
1907.9
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
1867.7
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
1864.5
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
1854.0
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
1842.5
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
1813.0
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
1797.6
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
1742.1
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
1727.0
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
1726.0
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
1704.7
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
1691.9
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
1684.2
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
1673.3
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
1672.9
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
1661.3
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
1613.5
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
1598.5
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
1577.4
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
1570.3
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
1563.6
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
1560.6
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
1543.2
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
1536.6
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
1532.4
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
1516.2
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
1506.5
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
1490.7
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
1483.7
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
1461.6
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
1449.4
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
1445.4
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
1438.5
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
1431.9
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
1422.4
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
1420.0
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
1409.8
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
1399.2
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
1388.8
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
1368.1
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
1354.4
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
1350.5
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
1338.2
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
1331.0
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
1330.1
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
1323.9
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
1314.2
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
1312.1
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
1304.7
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
1300.4
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
1297.7
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
1291.8
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
1287.8
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
1283.1
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
1271.2
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
1259.3
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
1255.0
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
1254.7
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
1249.7
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
1248.2
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
1232.1
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
1226.5
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
1223.8
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
1222.4
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
1216.5
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
1214.8
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
1193.7
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
1189.9
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
1189.6
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
1185.4
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
1178.5
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
1171.5
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
1168.2
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
1163.2
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
1158.0
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
1142.3
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
1138.6
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
1137.8
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
1121.9
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
1104.8
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
1084.9
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
1064.4
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
1050.7
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
1050.0
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
1023.9
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
1016.7
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
1011.8
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
1007.5
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
1004.6
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
1000.1
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
988.4
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
988.2
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
975.5
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
974.0
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
956.6
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
952.0
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
948.0
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
946.9
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
939.9
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
932.5
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
926.6
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
921.6
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
919.6
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
913.9
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
913.9
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
907.9
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
897.4
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
893.5
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
893.4
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
881.1
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
879.0
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
858.4
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
849.0
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
842.7
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
835.9
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
816.6
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
809.6
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
809.5
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
803.8
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
797.6
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
794.2
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
789.9
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
774.8
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
771.4
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
745.4
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
742.3
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
735.0
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
722.1
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
716.8
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
708.6
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
677.3
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
671.7
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
671.0
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
664.8
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
663.1
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
649.0
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
638.7
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
625.5
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
608.8
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
605.2
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
598.3
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
589.7
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
585.9
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
585.4
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
575.9
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
572.6
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
567.4
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
548.8
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
534.3
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
528.7
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
512.6
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
506.9
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
503.5
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
495.1
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
488.9
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
483.8
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
480.3
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
480.0
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
473.2
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
456.7
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
447.2
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
446.6
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
445.9
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
442.3
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
435.6
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
431.4
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
430.9
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
428.3
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
420.4
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
411.2
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
402.4
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
401.4
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
394.9
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
364.0
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
360.1
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
351.9
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
349.9
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
347.4
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
320.3
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
313.6
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
308.5
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
306.7
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
301.1
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
293.3
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
279.3
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
257.2
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
256.8
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
236.0
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
217.9
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
214.4
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
211.9
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
201.3
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
121.1
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
104.4
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 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.
S100A6 is not prognostic in Ovary Serous Cystadenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
2191.5
Number of samples
81
Samples
Sample
Description
pTPM
DO46350
66 years, female, NA, stage:III, dead, 886 days
7595.7
DO46333
58 years, female, NA, stage:III, dead, 359 days
7333.1
DO46551
58 years, female, NA, stage:III, dead, 1055 days
5967.4
DO46581
66 years, female, NA, stage:III, dead, 408 days
5877.0
DO46611
52 years, female, NA, stage:III, dead, 734 days
5650.0
DO46327
54 years, female, NA, stage:III, dead, 184 days
5354.3
DO46366
65 years, female, NA, stage:III, dead, 2054 days
4624.0
DO46380
51 years, female, NA, stage:III, dead, 1423 days
4506.7
DO46388
74 years, female, NA, stage:III, dead, 413 days
4212.7
DO46354
73 years, female, NA, stage:III, dead, 843 days
4068.0
DO46372
39 years, female, NA, stage:III, dead, 1326 days
3935.5
DO46448
45 years, female, NA, stage:III, dead, 654 days
3742.6
DO46546
73 years, female, NA, stage:III, dead, 1889 days
3677.6
DO46326
51 years, female, NA, stage:III, dead, 701 days
3522.0
DO46571
61 years, female, NA, stage:III, dead, 243 days
3395.2
DO46538
57 years, female, NA, stage:III, dead, 1527 days
3204.2
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
3134.8
DO46533
46 years, female, NA, stage:III, alive, 3667 days
3088.4
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
3066.7
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
3017.6
DO46591
58 years, female, NA, stage:III, dead, 195 days
2973.6
DO46606
73 years, female, NA, stage:III, alive, 804 days
2819.4
DO46330
60 years, female, NA, stage:III, dead, 684 days
2646.0
DO46568
66 years, female, NA, stage:III, dead, 320 days
2590.8
DO46374
69 years, female, NA, stage:III, dead, 1409 days
2588.2
DO46508
50 years, female, NA, stage:III, dead, 2101 days
2565.1
DO46364
45 years, female, NA, stage:III, dead, 806 days
2548.7
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
2437.1
DO46378
59 years, female, NA, stage:III, alive, 843 days
2397.6
DO46404
55 years, female, NA, stage:III, dead, 690 days
2335.8
DO46342
67 years, female, NA, stage:III, dead, 1398 days
2335.7
DO46390
65 years, female, NA, stage:III, dead, 374 days
2236.0
DO46443
59 years, female, NA, stage:III, dead, 2464 days
2184.8
DO46382
62 years, female, NA, stage:IV, dead, 311 days
2157.4
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
2138.5
DO46400
70 years, female, NA, stage:III, dead, 719 days
2077.9
DO46331
72 years, female, NA, stage:III, dead, 612 days
2034.7
DO46370
54 years, female, NA, stage:III, dead, 1727 days
2011.5
DO46586
55 years, female, NA, stage:III, dead, 1019 days
1973.4
DO46329
52 years, female, NA, stage:III, dead, 1699 days
1841.3
DO46325
54 years, female, NA, stage:III, dead, 477 days
1785.7
DO46334
77 years, female, NA, stage:III, dead, 496 days
1691.6
DO46576
75 years, female, NA, stage:III, alive, 133 days
1627.2
DO46453
66 years, female, NA, stage:III, dead, 3294 days
1557.7
DO46412
64 years, female, NA, stage:III, dead, 597 days
1522.8
DO46528
56 years, female, NA, stage:III, alive, 6139 days
1422.6
DO46398
66 years, female, NA, stage:III, alive, 437 days
1407.5
DO46396
64 years, female, NA, stage:III, dead, 583 days
1406.9
DO46376
58 years, female, NA, stage:III, dead, 1430 days
1406.5
DO46368
57 years, female, NA, stage:III, dead, 2879 days
1403.9
DO46332
56 years, female, NA, stage:III, dead, 689 days
1397.2
DO46346
54 years, female, NA, stage:III, dead, 1187 days
1388.7
DO46348
58 years, female, NA, stage:IV, dead, 287 days
1384.3
DO46328
52 years, female, NA, stage:III, dead, 972 days
1328.3
DO46518
62 years, female, NA, stage:III, alive, 2960 days
1305.7
DO46392
48 years, female, NA, stage:III, dead, 628 days
1224.4
DO46597
60 years, female, NA, stage:III, dead, 393 days
1193.2
DO46561
52 years, female, NA, stage:III, dead, 195 days
1187.4
DO46340
62 years, female, NA, stage:III, dead, 616 days
1155.0
DO46384
55 years, female, NA, stage:III, dead, 614 days
1001.4
DO46356
68 years, female, NA, stage:III, dead, 911 days
930.9
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
922.6
DO46338
59 years, female, NA, stage:III, dead, 596 days
886.5
DO46463
49 years, female, NA, stage:III, dead, 2451 days
873.2
DO46560
45 years, female, NA, stage:IV, dead, 286 days
839.1
DO46602
74 years, female, NA, stage:III, dead, 205 days
828.2
DO46493
62 years, female, NA, stage:IV, alive, 839 days
828.1
DO46344
46 years, female, NA, stage:III, dead, 642 days
827.7
DO46566
78 years, female, NA, stage:III, dead, 673 days
823.5
DO46432
56 years, female, NA, stage:III, alive, 2218 days
822.5
DO46402
77 years, female, NA, stage:III, dead, 511 days
649.2
DO46352
60 years, female, NA, stage:III, dead, 677 days
644.4
DO46386
49 years, female, NA, stage:III, dead, 1162 days
640.6
DO46588
74 years, female, NA, stage:III, dead, 438 days
616.5
DO46362
61 years, female, NA, stage:III, dead, 1639 days
595.3
DO46336
70 years, female, NA, stage:IV, dead, 664 days
491.5
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
478.4
DO46408
56 years, female, NA, stage:III, dead, 489 days
363.3
DO46358
60 years, female, NA, stage:III, dead, 423 days
329.8
DO46436
58 years, female, NA, stage:III, alive, 3193 days
294.2
DO46468
67 years, female, NA, stage:III, alive, 2776 days
165.8
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
1.5
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
0.4
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
0.3
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
0.1
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
0.1
21efd60f-6a31-4b98-9477-16a905_D2
Normal
0.0
285fed94-1495-448e-879b-b55de9_D2
Tumor
0.0
a3a26070-fb84-406a-8280-d555e6_D2
Normal
0.0
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
-0.1
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-0.1
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
-0.2
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
-0.2
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
-0.2
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
-0.2
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
-0.3
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
-0.3
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
-0.3
340a3769-3031-41ae-bb08-a2f696_D2
Normal
-0.3
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
-0.4
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
-0.4
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
-0.5
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
-0.5
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
-0.5
2f901c90-617e-46da-9fac-d68369_D2
Tumor
-0.6
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
-0.6
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
-0.6
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
-0.7
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
-0.7
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
-0.8
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
-0.8
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
-0.8
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
-0.8
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
-0.8
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
-0.8
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
-0.9
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
-1.0
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
-1.0
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-1.0
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
-1.0
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
-1.1
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
-1.1
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
-1.1
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
-1.1
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
-1.1
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
-1.1
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
-1.2
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
-1.3
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
-1.3
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
-1.3
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
-1.3
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
-1.3
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
-1.4
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
-1.4
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
-1.5
1772e913-f62e-446a-8cf3-720348_D2
Tumor
-1.5
1a10c200-3895-4648-b951-94f99f_D2
Tumor
-1.5
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
-1.5
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
-1.5
10c2d629-0287-4511-ac25-f29031_D2
Tumor
-1.6
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
-1.6
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
-1.6
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
-1.6
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
-1.7
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
-1.7
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
-1.7
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
-1.7
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
-1.7
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
-1.8
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
-1.8
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
-1.8
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
-1.9
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
-1.9
161317f3-1a39-438e-af45-cd2502_D2
Tumor
-1.9
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
-2.0
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
-2.0
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
-2.2
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
-2.2
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
-2.2
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
-2.2
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
-2.2
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
-2.3
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
-2.3
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
-2.3
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
-2.4
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
-2.4
e9d416e7-f661-400a-896e-388545_D2
Tumor
-2.4
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
-2.4
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
-2.4
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
-2.5
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
-2.5
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
-2.5
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
-2.5
15524912-685a-47ce-a824-567848_D2
Tumor
-2.5
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
-2.5
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
-2.5
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
-2.5
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
-2.5
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
-2.6
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
-2.6
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
-2.7
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
-2.7
a65d8e76-640f-4341-a561-afbb57_D2
Normal
-2.8
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
-2.8
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
-2.8
1db5574d-aca7-403c-8100-6e705f_D2
Normal
-2.9
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
-3.0
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
-3.1
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
-3.1
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
