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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.
TMSB10 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
5446.4
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
13684.4
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
13156.9
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
12849.0
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
12777.5
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
12594.8
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
12575.2
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
11642.9
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
11170.8
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
11100.6
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
10958.1
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
10876.1
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
10840.3
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
10784.7
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
10697.6
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
10499.6
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
10189.3
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
10106.7
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
10099.0
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
10023.5
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
9910.9
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
9884.8
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
9712.3
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
9699.8
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
9506.0
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
9502.4
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
9464.6
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
9431.8
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
9349.0
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
9330.7
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
9216.3
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
9126.0
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
9087.4
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
9027.8
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
8975.8
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
8959.5
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
8927.4
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
8865.1
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
8806.1
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
8723.4
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
8686.8
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
8609.9
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
8608.0
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
8577.7
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
8519.7
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
8439.2
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
8323.9
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
8240.8
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
8189.4
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
8125.1
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
8033.1
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
7958.3
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
7956.5
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
7851.5
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
7843.0
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
7824.7
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
7816.1
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
7751.0
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
7731.0
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
7673.4
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
7647.8
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
7584.0
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
7582.2
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
7559.2
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
7544.6
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
7532.1
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
7524.6
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
7502.4
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
7502.2
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
7490.7
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
7453.5
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
7396.1
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
7377.9
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
7312.2
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
7207.0
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
7156.1
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
7148.8
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
7124.5
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
7115.2
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
7021.7
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
6952.8
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
6925.6
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
6893.6
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
6858.7
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
6841.4
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
6838.2
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
6835.1
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
6789.8
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
6783.1
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
6781.8
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
6735.6
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
6716.8
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
6659.1
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
6658.8
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
6644.0
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
6593.3
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
6586.5
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
6582.9
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
6581.9
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
6556.1
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
6547.7
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
6515.1
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
6490.7
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
6489.8
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
6428.7
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
6423.1
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
6367.4
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
6325.0
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
6312.0
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
6306.8
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
6273.6
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
6271.2
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
6265.1
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
6173.2
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
6151.5
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
6081.1
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
6078.6
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
6077.9
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
6040.5
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
6023.3
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
5995.4
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
5952.0
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
5937.1
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
5885.1
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
5868.5
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
5848.5
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
5823.2
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
5792.1
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
5761.9
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
5741.7
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
5714.7
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
5709.1
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
5699.3
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
5684.1
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
5683.3
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
5629.8
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
5627.7
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
5614.8
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
5601.0
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
5594.1
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
5583.3
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
5536.2
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
5518.8
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
5502.4
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
5500.0
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
5494.1
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
5486.4
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
5465.0
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
5449.7
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
5436.9
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
5434.8
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
5418.3
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
5390.7
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
5388.0
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
5308.4
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
5299.7
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
5293.5
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
5285.0
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
5251.1
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
5251.0
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
5240.0
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
5189.1
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
5159.8
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
5139.0
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
5134.5
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
5119.8
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
5112.2
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
5111.5
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
5100.1
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
5093.4
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
5058.9
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
5058.1
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
5056.3
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
5040.8
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
5026.9
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
4998.9
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
4980.3
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
4965.8
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
4922.5
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
4913.7
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
4902.6
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
4883.8
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
4878.0
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
4841.4
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
4838.6
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
4834.6
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
4821.7
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
4816.1
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
4804.7
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
4768.2
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
4762.7
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
4759.2
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
4745.6
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
4744.5
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
4739.8
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
4732.1
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
4695.6
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
4691.6
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
4676.2
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
4675.3
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
4653.7
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
4626.1
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
4615.5
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
4590.9
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
4560.8
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
4528.5
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
4528.2
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
4517.9
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
4494.4
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
4477.3
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
4468.1
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
4448.4
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
4440.6
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
4436.5
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
4413.2
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
4377.4
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
4371.4
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
4338.2
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
4334.7
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
4333.3
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
4295.4
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
4263.1
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
4213.8
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
4177.8
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
4129.6
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
4123.6
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
4111.5
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
4108.6
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
4107.4
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
4102.4
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
4084.4
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
4080.6
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
4064.1
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
4060.2
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
4056.2
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
4048.5
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
4035.0
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
4035.0
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
4031.7
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
4028.3
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
4008.8
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
3982.8
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
3980.6
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
3979.0
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
3974.3
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
3970.2
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
3966.4
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
3922.3
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
3917.3
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
3889.2
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
3882.6
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
3881.7
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
3853.9
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
3823.2
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
3818.7
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
3817.0
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
3807.6
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
3789.9
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
3786.8
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
3773.2
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
3702.8
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
3701.3
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
3684.7
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
3600.1
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
3560.4
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
3549.5
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
3536.4
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
3478.9
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
3462.4
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
3459.9
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
3448.5
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
3429.0
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
3415.6
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
3390.3
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
3387.1
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
3385.1
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
3360.9
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
3355.9
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
3352.4
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
3331.3
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
3308.0
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
3299.4
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
3281.0
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
3255.3
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
3220.0
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
3214.2
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
3195.7
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
3181.2
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
3175.7
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
3169.6
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
3136.2
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
3121.9
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
3121.7
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
3099.6
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
3097.9
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
3097.7
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
3084.9
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
3056.3
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
3048.7
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
3045.6
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
3040.6
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
3023.2
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
3009.1
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
3004.0
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
2989.8
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
2982.1
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
2938.9
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
2884.8
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
2850.9
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
2816.7
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
2773.1
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
2766.4
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
2763.3
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
2757.4
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
2754.5
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
2734.5
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
2728.5
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
2722.7
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
2712.4
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
2695.2
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
2694.6
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
2667.6
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
2667.5
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
2636.2
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
2626.7
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
2564.0
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
2554.2
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
2473.5
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
2472.7
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
2458.5
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
2435.2
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
2434.5
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
2417.0
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
2395.6
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
2381.2
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
2376.7
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
2212.2
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
2199.3
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
2178.4
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
2101.4
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
2055.9
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
2032.4
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
1999.1
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
1991.4
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
1906.2
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
1883.0
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
1879.5
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
1863.5
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
1694.3
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TMSB10 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
3518.8
Number of samples
81
Samples
Sample
Description
pTPM
DO46611
52 years, female, NA, stage:III, dead, 734 days
16950.7
DO46333
58 years, female, NA, stage:III, dead, 359 days
10272.0
DO46356
68 years, female, NA, stage:III, dead, 911 days
8823.1
DO46376
58 years, female, NA, stage:III, dead, 1430 days
8394.7
DO46366
65 years, female, NA, stage:III, dead, 2054 days
7033.4
DO46581
66 years, female, NA, stage:III, dead, 408 days
6776.8
DO46453
66 years, female, NA, stage:III, dead, 3294 days
6749.7
DO46528
56 years, female, NA, stage:III, alive, 6139 days
6382.5
DO46463
49 years, female, NA, stage:III, dead, 2451 days
6307.1
DO46591
58 years, female, NA, stage:III, dead, 195 days
5839.6
DO46576
75 years, female, NA, stage:III, alive, 133 days
5600.9
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
5110.0
DO46588
74 years, female, NA, stage:III, dead, 438 days
4851.1
DO46342
67 years, female, NA, stage:III, dead, 1398 days
4801.5
DO46586
55 years, female, NA, stage:III, dead, 1019 days
4619.4
DO46348
58 years, female, NA, stage:IV, dead, 287 days
4615.3
DO46443
59 years, female, NA, stage:III, dead, 2464 days
4242.9
DO46327
54 years, female, NA, stage:III, dead, 184 days
4216.3
DO46560
45 years, female, NA, stage:IV, dead, 286 days
4042.2
DO46571
61 years, female, NA, stage:III, dead, 243 days
4030.1
DO46606
73 years, female, NA, stage:III, alive, 804 days
4019.3
DO46352
60 years, female, NA, stage:III, dead, 677 days
3940.3
DO46533
46 years, female, NA, stage:III, alive, 3667 days
3772.4
DO46380
51 years, female, NA, stage:III, dead, 1423 days
3726.4
DO46330
60 years, female, NA, stage:III, dead, 684 days
3717.7
DO46340
62 years, female, NA, stage:III, dead, 616 days
3666.1
DO46350
66 years, female, NA, stage:III, dead, 886 days
3630.1
DO46362
61 years, female, NA, stage:III, dead, 1639 days
3569.0
DO46602
74 years, female, NA, stage:III, dead, 205 days
3506.1
DO46382
62 years, female, NA, stage:IV, dead, 311 days
3412.2
DO46468
67 years, female, NA, stage:III, alive, 2776 days
3405.2
DO46370
54 years, female, NA, stage:III, dead, 1727 days
3395.6
DO46408
56 years, female, NA, stage:III, dead, 489 days
3259.6
DO46568
66 years, female, NA, stage:III, dead, 320 days
3232.9
DO46346
54 years, female, NA, stage:III, dead, 1187 days
3197.1
DO46551
58 years, female, NA, stage:III, dead, 1055 days
3134.3
DO46378
59 years, female, NA, stage:III, alive, 843 days
3030.5
DO46508
50 years, female, NA, stage:III, dead, 2101 days
3022.0
DO46392
48 years, female, NA, stage:III, dead, 628 days
2929.1
DO46448
45 years, female, NA, stage:III, dead, 654 days
2910.1
DO46364
45 years, female, NA, stage:III, dead, 806 days
2869.8
DO46597
60 years, female, NA, stage:III, dead, 393 days
2868.0
DO46412
64 years, female, NA, stage:III, dead, 597 days
2800.2
DO46334
77 years, female, NA, stage:III, dead, 496 days
2794.1
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
2752.7
DO46388
74 years, female, NA, stage:III, dead, 413 days
2697.4
DO46332
56 years, female, NA, stage:III, dead, 689 days
2677.9
DO46331
72 years, female, NA, stage:III, dead, 612 days
2662.5
DO46372
39 years, female, NA, stage:III, dead, 1326 days
2563.7
DO46358
60 years, female, NA, stage:III, dead, 423 days
2556.0
DO46368
57 years, female, NA, stage:III, dead, 2879 days
2548.1
DO46402
77 years, female, NA, stage:III, dead, 511 days
2535.3
DO46436
58 years, female, NA, stage:III, alive, 3193 days
2433.9
DO46538
57 years, female, NA, stage:III, dead, 1527 days
2400.9
DO46354
73 years, female, NA, stage:III, dead, 843 days
2367.0
DO46329
52 years, female, NA, stage:III, dead, 1699 days
2352.4
DO46328
52 years, female, NA, stage:III, dead, 972 days
2337.6
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
2325.9
DO46432
56 years, female, NA, stage:III, alive, 2218 days
2319.8
DO46386
49 years, female, NA, stage:III, dead, 1162 days
2288.5
DO46344
46 years, female, NA, stage:III, dead, 642 days
2226.1
DO46546
73 years, female, NA, stage:III, dead, 1889 days
2215.6
DO46390
65 years, female, NA, stage:III, dead, 374 days
2142.3
DO46404
55 years, female, NA, stage:III, dead, 690 days
2112.1
DO46336
70 years, female, NA, stage:IV, dead, 664 days
2079.9
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
2042.2
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
1977.1
DO46338
59 years, female, NA, stage:III, dead, 596 days
1976.8
DO46566
78 years, female, NA, stage:III, dead, 673 days
1943.2
DO46561
52 years, female, NA, stage:III, dead, 195 days
1921.6
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
1849.5
DO46398
66 years, female, NA, stage:III, alive, 437 days
1674.5
DO46493
62 years, female, NA, stage:IV, alive, 839 days
1508.0
DO46400
70 years, female, NA, stage:III, dead, 719 days
1458.4
DO46396
64 years, female, NA, stage:III, dead, 583 days
1440.9
DO46325
54 years, female, NA, stage:III, dead, 477 days
1415.8
DO46326
51 years, female, NA, stage:III, dead, 701 days
1295.1
DO46374
69 years, female, NA, stage:III, dead, 1409 days
1273.6
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
1162.2
DO46518
62 years, female, NA, stage:III, alive, 2960 days
1028.0
DO46384
55 years, female, NA, stage:III, dead, 614 days
993.3
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OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
0.7
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
0.5
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
0.3
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
0.3
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
0.2
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
0.0
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
0.0
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
0.0
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
0.0
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
-0.2
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
-0.2
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
-0.2
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
-0.3
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
-0.4
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
-0.4
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
-0.5
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
-0.5
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
-0.6
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
-0.6
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
-0.7
15524912-685a-47ce-a824-567848_D2
Tumor
-0.7
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-0.7
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
-0.8
10c2d629-0287-4511-ac25-f29031_D2
Tumor
-0.8
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
-0.8
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
-0.9
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
-0.9
1a10c200-3895-4648-b951-94f99f_D2
Tumor
-0.9
1db5574d-aca7-403c-8100-6e705f_D2
Normal
-1.0
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
-1.0
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
-1.0
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
-1.0
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
-1.1
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
-1.1
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
-1.1
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
-1.1
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
-1.1
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-1.2
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
-1.2
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
-1.2
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
-1.2
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
-1.3
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
-1.3
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
-1.3
1772e913-f62e-446a-8cf3-720348_D2
Tumor
-1.3
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
-1.4
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
-1.4
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
-1.4
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
-1.4
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
-1.4
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
-1.4
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
-1.5
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
-1.5
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
-1.5
285fed94-1495-448e-879b-b55de9_D2
Tumor
-1.5
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
-1.5
340a3769-3031-41ae-bb08-a2f696_D2
Normal
-1.6
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
-1.6
a65d8e76-640f-4341-a561-afbb57_D2
Normal
-1.7
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
-1.7
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
-1.7
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
-1.7
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-1.7
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
-1.8
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
-1.9
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
-1.9
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
-2.0
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
-2.0
2f901c90-617e-46da-9fac-d68369_D2
Tumor
-2.0
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
-2.1
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
-2.1
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
-2.1
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
-2.1
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
-2.2
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
-2.3
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
-2.4
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
-2.4
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
-2.5
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
-2.6
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
-2.6
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
-2.6
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
-2.6
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
-2.7
a3a26070-fb84-406a-8280-d555e6_D2
Normal
-2.7
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
-2.7
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
-2.8
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
-2.8
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
-2.8
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
-2.8
e9d416e7-f661-400a-896e-388545_D2
Tumor
-2.8
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
-2.8
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
-2.8
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
-2.8
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
-3.0
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
-3.0
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
-3.1
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
-3.1
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
-3.1
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
-3.1
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
-3.4
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
-3.5
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
-3.5
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
-3.5
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
-3.7
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
-3.7
161317f3-1a39-438e-af45-cd2502_D2
Tumor
-3.8
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
-3.8
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
-4.9
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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.