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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.
GAPDH 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
6041.6
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
19051.4
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
18828.0
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
16647.5
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
15037.6
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
14890.0
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
14302.7
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
14282.0
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
13542.7
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
13358.3
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
13312.5
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
12500.5
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
12234.5
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
12132.4
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
11953.9
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
11790.3
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
11421.2
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
11109.6
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
11062.5
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
11019.8
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
10932.7
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
10859.1
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
10788.3
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
10733.9
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
10725.6
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
10709.5
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
10672.3
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
10405.2
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
10189.3
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
10155.5
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
9835.0
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
9755.4
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
9596.9
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
9560.4
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
9514.8
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
9452.1
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
9444.3
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
9395.7
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
9374.1
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
9260.6
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
9256.0
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
9214.6
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
9114.3
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
8964.5
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
8641.1
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
8570.6
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
8565.2
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
8542.0
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
8528.9
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
8511.5
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
8488.8
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
8486.5
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
8461.4
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
8419.4
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
8410.4
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
8279.8
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
8278.8
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
8268.6
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
8183.4
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
8113.4
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
8099.3
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
8082.2
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
8069.2
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
8001.0
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
7942.9
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
7932.0
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
7919.1
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
7844.0
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
7789.0
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
7718.3
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
7709.8
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
7649.0
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
7603.8
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
7596.6
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
7585.4
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
7572.9
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
7541.9
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
7452.7
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
7371.9
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
7370.4
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
7354.8
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
7350.1
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
7285.9
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
7268.6
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
7265.4
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
7248.2
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
7237.5
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
7234.2
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
7222.7
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
7214.1
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
7125.8
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
7099.6
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
7098.7
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
7058.9
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
7038.4
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
7007.1
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
7002.0
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
6983.8
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
6974.4
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
6932.9
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
6886.5
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
6885.5
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
6876.8
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
6806.6
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
6763.4
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
6757.2
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
6695.8
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
6658.9
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
6644.6
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
6638.7
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
6616.3
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
6604.3
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
6601.9
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
6600.8
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
6598.5
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
6587.5
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
6553.1
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
6545.6
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
6516.1
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
6512.5
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
6496.7
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
6494.5
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
6448.5
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
6445.5
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
6428.5
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
6419.2
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
6410.6
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
6398.0
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
6392.8
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
6375.1
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
6369.4
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
6361.4
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
6355.8
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
6352.2
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
6345.4
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
6339.0
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
6330.3
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
6304.8
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
6298.4
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
6272.8
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
6258.2
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
6225.6
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
6195.3
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
6193.4
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
6165.4
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
6086.1
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
6068.1
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
6060.2
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
6045.4
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
6023.9
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
6017.4
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
6015.4
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
5955.2
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
5915.7
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
5913.5
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
5900.1
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
5896.7
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
5864.4
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
5863.5
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
5838.2
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
5789.5
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
5786.7
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
5786.4
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
5733.1
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
5727.5
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
5719.7
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
5684.7
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
5644.3
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
5638.1
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
5637.0
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
5635.6
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
5632.8
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
5627.0
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
5614.4
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
5601.4
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
5561.4
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
5546.5
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
5536.8
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
5534.4
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
5525.8
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
5511.7
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
5504.9
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
5498.2
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
5485.3
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
5477.4
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
5439.8
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
5415.3
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
5396.6
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
5375.5
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
5372.5
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
5339.8
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
5310.2
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
5302.5
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
5291.6
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
5281.6
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
5271.6
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
5263.9
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
5263.4
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
5249.1
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
5230.1
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
5227.8
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
5222.3
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
5218.6
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
5210.1
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
5186.8
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
5183.0
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
5124.5
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
5111.4
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
5107.0
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
5099.3
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
5059.4
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
5013.5
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
5012.2
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
4978.1
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
4966.4
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
4935.1
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
4889.4
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
4888.0
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
4867.8
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
4857.7
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
4852.7
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
4842.0
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
4833.9
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
4817.9
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
4784.3
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
4769.9
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
4768.0
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
4764.2
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
4743.7
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
4732.3
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
4730.2
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
4720.1
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
4711.4
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
4703.6
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
4697.5
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
4671.8
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
4667.2
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
4643.4
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
4637.1
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
4631.7
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
4631.0
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
4628.6
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
4614.8
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
4611.0
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
4560.7
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
4528.9
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
4518.5
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
4465.5
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
4463.0
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
4438.8
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
4438.7
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
4436.9
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
4430.5
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
4420.6
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
4413.2
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
4412.6
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
4346.6
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
4331.0
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
4297.4
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
4291.8
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
4284.1
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
4275.9
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
4269.7
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
4266.9
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
4245.1
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
4210.8
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
4147.7
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
4145.8
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
4143.3
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
4129.6
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
4126.6
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
4087.2
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
4056.8
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
4055.7
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
4049.4
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
4033.4
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
4013.5
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
3970.9
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
3969.2
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
3965.8
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
3956.8
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
3940.6
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
3853.9
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
3827.9
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
3811.0
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
3765.1
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
3697.3
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
3684.6
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
3654.1
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
3651.6
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
3612.6
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
3608.1
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
3574.6
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
3564.7
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
3562.3
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
3535.6
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
3491.1
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
3466.3
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
3432.7
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
3418.2
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
3401.0
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
3380.7
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
3360.9
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
3354.3
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
3301.7
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
3295.9
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
3286.9
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
3276.5
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
3275.6
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
3268.2
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
3265.7
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
3249.2
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
3212.4
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
3193.3
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
3150.6
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
3127.7
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
3115.8
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
3105.6
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
3088.7
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
3072.5
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
3048.0
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
3006.4
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
2992.9
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
2982.0
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
2885.6
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
2865.6
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
2839.2
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
2808.8
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
2732.4
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
2670.5
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
2613.0
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
2530.3
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
2521.0
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
2507.2
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
2482.9
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
2441.2
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
2428.8
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
2405.7
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
2385.3
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
2206.1
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
2176.4
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
2044.6
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
2004.2
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
1974.4
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
1963.0
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
1954.1
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
1920.3
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
1793.7
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
1789.7
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 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.
GAPDH 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
3965.3
Number of samples
81
Samples
Sample
Description
pTPM
DO46538
57 years, female, NA, stage:III, dead, 1527 days
20264.0
DO46338
59 years, female, NA, stage:III, dead, 596 days
10046.5
DO46362
61 years, female, NA, stage:III, dead, 1639 days
9415.0
DO46533
46 years, female, NA, stage:III, alive, 3667 days
8507.5
DO46448
45 years, female, NA, stage:III, dead, 654 days
7883.1
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
7276.6
DO46331
72 years, female, NA, stage:III, dead, 612 days
6698.9
DO46370
54 years, female, NA, stage:III, dead, 1727 days
6562.3
DO46453
66 years, female, NA, stage:III, dead, 3294 days
6153.4
DO46408
56 years, female, NA, stage:III, dead, 489 days
5751.3
DO46348
58 years, female, NA, stage:IV, dead, 287 days
5723.0
DO46468
67 years, female, NA, stage:III, alive, 2776 days
5594.7
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
5492.2
DO46356
68 years, female, NA, stage:III, dead, 911 days
5289.5
DO46376
58 years, female, NA, stage:III, dead, 1430 days
5075.8
DO46586
55 years, female, NA, stage:III, dead, 1019 days
4855.4
DO46354
73 years, female, NA, stage:III, dead, 843 days
4805.2
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
4549.0
DO46358
60 years, female, NA, stage:III, dead, 423 days
4472.4
DO46327
54 years, female, NA, stage:III, dead, 184 days
4404.0
DO46588
74 years, female, NA, stage:III, dead, 438 days
4385.8
DO46332
56 years, female, NA, stage:III, dead, 689 days
4282.3
DO46352
60 years, female, NA, stage:III, dead, 677 days
4191.4
DO46334
77 years, female, NA, stage:III, dead, 496 days
4185.1
DO46400
70 years, female, NA, stage:III, dead, 719 days
4168.3
DO46597
60 years, female, NA, stage:III, dead, 393 days
4088.0
DO46508
50 years, female, NA, stage:III, dead, 2101 days
3946.9
DO46581
66 years, female, NA, stage:III, dead, 408 days
3941.2
DO46378
59 years, female, NA, stage:III, alive, 843 days
3922.4
DO46546
73 years, female, NA, stage:III, dead, 1889 days
3827.0
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
3823.3
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
3780.8
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
3754.4
DO46463
49 years, female, NA, stage:III, dead, 2451 days
3745.3
DO46346
54 years, female, NA, stage:III, dead, 1187 days
3744.8
DO46518
62 years, female, NA, stage:III, alive, 2960 days
3637.4
DO46443
59 years, female, NA, stage:III, dead, 2464 days
3629.0
DO46388
74 years, female, NA, stage:III, dead, 413 days
3493.3
DO46568
66 years, female, NA, stage:III, dead, 320 days
3454.4
DO46404
55 years, female, NA, stage:III, dead, 690 days
3444.8
DO46396
64 years, female, NA, stage:III, dead, 583 days
3416.4
DO46561
52 years, female, NA, stage:III, dead, 195 days
3364.7
DO46342
67 years, female, NA, stage:III, dead, 1398 days
3351.5
DO46326
51 years, female, NA, stage:III, dead, 701 days
3295.1
DO46436
58 years, female, NA, stage:III, alive, 3193 days
3294.1
DO46382
62 years, female, NA, stage:IV, dead, 311 days
3275.3
DO46364
45 years, female, NA, stage:III, dead, 806 days
3266.1
DO46402
77 years, female, NA, stage:III, dead, 511 days
3245.6
DO46566
78 years, female, NA, stage:III, dead, 673 days
3186.0
DO46380
51 years, female, NA, stage:III, dead, 1423 days
3160.7
DO46493
62 years, female, NA, stage:IV, alive, 839 days
3059.9
DO46333
58 years, female, NA, stage:III, dead, 359 days
2990.5
DO46374
69 years, female, NA, stage:III, dead, 1409 days
2976.2
DO46392
48 years, female, NA, stage:III, dead, 628 days
2967.6
DO46329
52 years, female, NA, stage:III, dead, 1699 days
2866.8
DO46591
58 years, female, NA, stage:III, dead, 195 days
2836.0
DO46344
46 years, female, NA, stage:III, dead, 642 days
2816.6
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
2812.1
DO46390
65 years, female, NA, stage:III, dead, 374 days
2806.6
DO46336
70 years, female, NA, stage:IV, dead, 664 days
2791.5
DO46328
52 years, female, NA, stage:III, dead, 972 days
2688.4
DO46368
57 years, female, NA, stage:III, dead, 2879 days
2520.8
DO46384
55 years, female, NA, stage:III, dead, 614 days
2487.5
DO46325
54 years, female, NA, stage:III, dead, 477 days
2464.4
DO46330
60 years, female, NA, stage:III, dead, 684 days
2363.8
DO46398
66 years, female, NA, stage:III, alive, 437 days
2340.5
DO46340
62 years, female, NA, stage:III, dead, 616 days
2320.9
DO46560
45 years, female, NA, stage:IV, dead, 286 days
2291.1
DO46350
66 years, female, NA, stage:III, dead, 886 days
2252.7
DO46551
58 years, female, NA, stage:III, dead, 1055 days
2171.6
DO46602
74 years, female, NA, stage:III, dead, 205 days
2140.6
DO46386
49 years, female, NA, stage:III, dead, 1162 days
1971.0
DO46432
56 years, female, NA, stage:III, alive, 2218 days
1970.2
DO46366
65 years, female, NA, stage:III, dead, 2054 days
1938.8
DO46372
39 years, female, NA, stage:III, dead, 1326 days
1847.6
DO46412
64 years, female, NA, stage:III, dead, 597 days
1743.4
DO46571
61 years, female, NA, stage:III, dead, 243 days
1664.2
DO46528
56 years, female, NA, stage:III, alive, 6139 days
1618.0
DO46606
73 years, female, NA, stage:III, alive, 804 days
1586.9
DO46576
75 years, female, NA, stage:III, alive, 133 days
1535.4
DO46611
52 years, female, NA, stage:III, dead, 734 days
1231.5
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
1.6
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
1.2
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
1.2
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
1.0
2f901c90-617e-46da-9fac-d68369_D2
Tumor
0.9
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
0.9
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
0.9
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
0.9
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
0.8
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
0.8
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
0.8
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
0.8
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
0.8
1772e913-f62e-446a-8cf3-720348_D2
Tumor
0.7
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
0.7
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
0.7
161317f3-1a39-438e-af45-cd2502_D2
Tumor
0.7
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
0.6
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
0.6
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
0.5
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
0.5
15524912-685a-47ce-a824-567848_D2
Tumor
0.5
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
0.5
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
0.4
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
0.4
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
0.4
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
0.4
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
0.4
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
0.4
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
0.4
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
0.3
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
0.3
e9d416e7-f661-400a-896e-388545_D2
Tumor
0.3
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
0.3
340a3769-3031-41ae-bb08-a2f696_D2
Normal
0.3
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
0.3
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
0.3
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
0.2
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
0.2
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
0.2
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
0.2
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
0.2
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
0.2
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
0.2
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
0.2
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
0.1
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
0.1
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
0.1
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
0.1
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
0.1
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
0.1
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
0.1
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
0.1
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
0.1
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
0.0
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
0.0
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
0.0
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
0.0
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
0.0
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
0.0
a3a26070-fb84-406a-8280-d555e6_D2
Normal
0.0
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
0.0
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
0.0
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
0.0
285fed94-1495-448e-879b-b55de9_D2
Tumor
0.0
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
-0.1
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
-0.1
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
-0.1
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
-0.1
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
-0.1
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
-0.1
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
-0.1
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
-0.1
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
-0.1
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
-0.1
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
-0.1
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
-0.1
a65d8e76-640f-4341-a561-afbb57_D2
Normal
-0.1
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
-0.1
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
-0.2
1a10c200-3895-4648-b951-94f99f_D2
Tumor
-0.2
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
-0.2
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
-0.2
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
-0.2
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
-0.2
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
-0.2
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
-0.2
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
-0.2
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
-0.2
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
-0.2
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
-0.3
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-0.3
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
-0.3
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
-0.3
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
-0.3
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-0.3
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
-0.3
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-0.4
10c2d629-0287-4511-ac25-f29031_D2
Tumor
-0.4
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
-0.4
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
-0.4
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
-0.4
1db5574d-aca7-403c-8100-6e705f_D2
Normal
-0.4
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
-0.4
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
-0.4
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
-0.4
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
-0.4
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
-0.6
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
