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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.
IFITM3 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
3516.6
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
13191.6
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
11429.4
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
10325.6
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
9869.8
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
9141.6
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
8470.7
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
8357.7
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
8278.0
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
8112.0
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
8107.7
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
7863.9
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
7613.0
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
7585.7
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
7262.0
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
7047.8
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
6973.3
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
6872.4
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
6842.9
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
6747.5
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
6590.1
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
6552.5
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
6549.0
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
6537.5
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
6510.5
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
6424.8
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
6404.3
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
6280.1
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
6235.6
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
6233.0
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
6227.7
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
6110.7
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
6064.3
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
6018.8
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
5999.2
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
5938.7
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
5932.3
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
5893.8
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
5853.0
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
5822.9
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
5811.1
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
5718.3
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
5658.6
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
5654.3
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
5640.0
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
5567.4
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
5538.8
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
5527.0
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
5498.0
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
5475.2
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
5444.4
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
5416.8
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
5390.8
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
5349.8
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
5344.1
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
5300.1
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
5246.4
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
5240.0
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
5118.8
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
5116.8
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
5096.7
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
5068.8
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
5033.2
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
5031.5
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
5019.1
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
5007.9
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
4966.9
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
4926.5
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
4920.9
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
4919.0
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
4907.7
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
4870.3
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
4844.6
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
4801.6
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
4760.8
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
4717.0
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
4691.9
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
4666.9
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
4620.1
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
4618.2
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
4608.0
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
4597.8
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
4553.2
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
4545.4
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
4520.6
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
4518.0
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
4513.0
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
4477.1
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
4442.7
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
4442.2
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
4412.8
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
4363.6
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
4351.7
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
4298.3
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
4295.3
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
4290.5
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
4261.2
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
4221.8
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
4203.0
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
4182.0
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
4125.8
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
4117.9
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
4086.1
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
4083.9
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
4079.7
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
4043.8
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
4040.8
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
4039.2
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
4033.8
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
4025.3
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
4012.0
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
4008.5
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
3999.4
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
3993.0
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
3977.7
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
3973.2
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
3971.5
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
3960.8
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
3929.9
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
3922.1
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
3909.1
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
3908.9
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
3888.6
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
3885.0
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
3852.8
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
3847.4
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
3844.1
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
3840.6
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
3829.4
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
3823.9
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
3800.8
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
3787.6
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
3776.6
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
3767.8
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
3746.0
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
3735.0
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
3715.7
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
3713.7
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
3692.3
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
3690.8
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
3679.6
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
3675.8
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
3659.6
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
3648.5
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
3638.9
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
3622.9
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
3621.9
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
3613.5
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
3605.6
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
3600.2
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
3594.1
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
3579.6
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
3562.3
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
3561.4
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
3535.0
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
3485.7
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
3482.8
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
3481.4
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
3474.6
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
3471.2
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
3463.8
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
3455.7
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
3448.9
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
3441.3
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
3431.4
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
3407.1
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
3394.4
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
3385.3
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
3378.6
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
3355.1
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
3336.6
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
3328.5
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
3324.7
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
3323.6
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
3319.8
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
3310.9
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
3279.4
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
3263.1
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
3253.1
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
3250.4
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
3231.3
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
3215.9
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
3204.8
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
3194.4
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
3191.3
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
3188.3
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
3181.0
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
3175.0
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
3153.9
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
3151.4
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
3105.8
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
3101.3
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
3086.5
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
3050.8
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
3046.7
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
3024.6
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
3023.2
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
3007.0
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
2988.7
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
2978.8
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
2961.0
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
2959.2
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
2956.3
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
2949.7
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
2930.0
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
2887.1
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
2884.4
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
2838.2
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
2832.9
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
2807.9
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
2791.4
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
2772.2
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
2768.7
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
2767.2
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
2761.7
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
2744.1
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
2741.7
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
2734.6
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
2724.4
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
2693.7
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
2689.2
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
2682.1
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
2679.2
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
2646.3
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
2642.8
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
2630.7
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
2608.3
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
2604.5
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
2571.4
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
2564.5
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
2549.1
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
2504.9
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
2495.0
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
2492.7
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
2489.4
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
2479.7
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
2439.4
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
2417.8
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
2404.9
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
2401.0
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
2390.5
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
2384.1
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
2369.0
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
2350.5
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
2308.5
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
2307.5
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
2305.0
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
2292.4
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
2282.6
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
2279.7
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
2278.0
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
2277.4
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
2267.1
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
2264.5
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
2255.4
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
2254.8
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
2239.0
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
2233.2
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
2231.9
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
2229.7
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
2219.8
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
2217.9
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
2196.9
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
2183.6
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
2179.9
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
2174.3
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
2108.6
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
2094.7
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
2088.3
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
2084.4
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
2072.5
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
2045.6
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
2042.4
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
2030.3
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
2006.5
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
1998.7
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
1998.4
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
1979.0
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
1963.6
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
1960.4
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
1957.1
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
1926.0
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
1925.5
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
1922.1
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
1919.8
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
1915.5
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
1903.6
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
1889.6
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
1888.6
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
1884.2
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
1832.5
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
1817.7
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
1817.0
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
1813.4
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
1801.3
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
1781.4
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
1778.9
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
1729.0
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
1720.9
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
1682.7
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
1681.9
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
1681.4
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
1677.3
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
1646.8
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
1628.3
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
1599.9
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
1598.0
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
1592.0
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
1575.3
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
1540.9
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
1522.6
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
1513.0
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
1509.2
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
1493.7
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
1436.8
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
1406.6
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
1398.5
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
1371.6
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
1361.0
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
1353.6
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
1347.2
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
1322.8
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
1312.8
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
1311.8
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
1311.7
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
1298.0
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
1291.2
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
1285.8
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
1226.8
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
1212.8
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
1200.2
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
1055.9
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
1029.8
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
1020.3
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
972.7
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
912.9
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
907.7
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
881.7
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
855.4
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
821.3
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
768.7
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
716.8
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
711.8
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
667.1
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
666.6
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
567.9
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
507.6
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
447.5
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
406.0
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 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.
IFITM3 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
1223.9
Number of samples
81
Samples
Sample
Description
pTPM
DO46392
48 years, female, NA, stage:III, dead, 628 days
3864.0
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
3362.4
DO46376
58 years, female, NA, stage:III, dead, 1430 days
2605.3
DO46528
56 years, female, NA, stage:III, alive, 6139 days
2549.7
DO46568
66 years, female, NA, stage:III, dead, 320 days
2473.0
DO46384
55 years, female, NA, stage:III, dead, 614 days
2400.1
DO46602
74 years, female, NA, stage:III, dead, 205 days
2316.1
DO46581
66 years, female, NA, stage:III, dead, 408 days
2240.2
DO46364
45 years, female, NA, stage:III, dead, 806 days
2216.6
DO46412
64 years, female, NA, stage:III, dead, 597 days
2167.1
DO46591
58 years, female, NA, stage:III, dead, 195 days
1916.5
DO46576
75 years, female, NA, stage:III, alive, 133 days
1894.9
DO46329
52 years, female, NA, stage:III, dead, 1699 days
1860.1
DO46386
49 years, female, NA, stage:III, dead, 1162 days
1823.4
DO46443
59 years, female, NA, stage:III, dead, 2464 days
1723.4
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
1657.6
DO46453
66 years, female, NA, stage:III, dead, 3294 days
1640.4
DO46354
73 years, female, NA, stage:III, dead, 843 days
1634.2
DO46378
59 years, female, NA, stage:III, alive, 843 days
1608.6
DO46326
51 years, female, NA, stage:III, dead, 701 days
1566.2
DO46382
62 years, female, NA, stage:IV, dead, 311 days
1561.7
DO46404
55 years, female, NA, stage:III, dead, 690 days
1556.4
DO46362
61 years, female, NA, stage:III, dead, 1639 days
1472.4
DO46463
49 years, female, NA, stage:III, dead, 2451 days
1382.4
DO46560
45 years, female, NA, stage:IV, dead, 286 days
1356.2
DO46468
67 years, female, NA, stage:III, alive, 2776 days
1355.1
DO46352
60 years, female, NA, stage:III, dead, 677 days
1335.4
DO46336
70 years, female, NA, stage:IV, dead, 664 days
1321.2
DO46566
78 years, female, NA, stage:III, dead, 673 days
1321.2
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
1308.9
DO46586
55 years, female, NA, stage:III, dead, 1019 days
1256.8
DO46340
62 years, female, NA, stage:III, dead, 616 days
1212.6
DO46334
77 years, female, NA, stage:III, dead, 496 days
1197.0
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
1177.6
DO46448
45 years, female, NA, stage:III, dead, 654 days
1130.6
DO46342
67 years, female, NA, stage:III, dead, 1398 days
1123.6
DO46388
74 years, female, NA, stage:III, dead, 413 days
1081.6
DO46346
54 years, female, NA, stage:III, dead, 1187 days
1073.9
DO46551
58 years, female, NA, stage:III, dead, 1055 days
1045.8
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
1044.5
DO46508
50 years, female, NA, stage:III, dead, 2101 days
1041.4
DO46597
60 years, female, NA, stage:III, dead, 393 days
1041.1
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
1005.2
DO46333
58 years, female, NA, stage:III, dead, 359 days
995.5
DO46332
56 years, female, NA, stage:III, dead, 689 days
994.4
DO46402
77 years, female, NA, stage:III, dead, 511 days
991.6
DO46398
66 years, female, NA, stage:III, alive, 437 days
976.5
DO46538
57 years, female, NA, stage:III, dead, 1527 days
929.4
DO46561
52 years, female, NA, stage:III, dead, 195 days
925.0
DO46327
54 years, female, NA, stage:III, dead, 184 days
909.8
DO46546
73 years, female, NA, stage:III, dead, 1889 days
908.1
DO46366
65 years, female, NA, stage:III, dead, 2054 days
899.0
DO46350
66 years, female, NA, stage:III, dead, 886 days
889.2
DO46348
58 years, female, NA, stage:IV, dead, 287 days
883.0
DO46396
64 years, female, NA, stage:III, dead, 583 days
878.5
DO46356
68 years, female, NA, stage:III, dead, 911 days
849.4
DO46493
62 years, female, NA, stage:IV, alive, 839 days
818.5
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
781.6
DO46380
51 years, female, NA, stage:III, dead, 1423 days
776.4
DO46344
46 years, female, NA, stage:III, dead, 642 days
767.2
DO46390
65 years, female, NA, stage:III, dead, 374 days
739.8
DO46408
56 years, female, NA, stage:III, dead, 489 days
726.7
DO46370
54 years, female, NA, stage:III, dead, 1727 days
721.1
DO46325
54 years, female, NA, stage:III, dead, 477 days
701.5
DO46330
60 years, female, NA, stage:III, dead, 684 days
685.5
DO46331
72 years, female, NA, stage:III, dead, 612 days
681.4
DO46368
57 years, female, NA, stage:III, dead, 2879 days
661.8
DO46372
39 years, female, NA, stage:III, dead, 1326 days
660.9
DO46518
62 years, female, NA, stage:III, alive, 2960 days
599.4
DO46436
58 years, female, NA, stage:III, alive, 3193 days
594.1
DO46533
46 years, female, NA, stage:III, alive, 3667 days
584.9
DO46432
56 years, female, NA, stage:III, alive, 2218 days
553.1
DO46328
52 years, female, NA, stage:III, dead, 972 days
529.3
DO46358
60 years, female, NA, stage:III, dead, 423 days
524.8
DO46588
74 years, female, NA, stage:III, dead, 438 days
517.3
DO46606
73 years, female, NA, stage:III, alive, 804 days
508.9
DO46374
69 years, female, NA, stage:III, dead, 1409 days
489.1
DO46400
70 years, female, NA, stage:III, dead, 719 days
457.1
DO46571
61 years, female, NA, stage:III, dead, 243 days
425.9
DO46611
52 years, female, NA, stage:III, dead, 734 days
421.9
DO46338
59 years, female, NA, stage:III, dead, 596 days
263.2
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
0.7
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
0.7
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
0.7
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
0.7
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
0.7
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
0.6
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
0.6
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
0.6
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
0.6
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
0.5
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
0.5
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
0.5
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
0.5
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
0.5
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
0.5
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
0.4
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
0.4
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
0.4
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
0.4
a65d8e76-640f-4341-a561-afbb57_D2
Normal
0.4
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
0.4
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
0.4
21efd60f-6a31-4b98-9477-16a905_D2
Normal
0.3
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
0.3
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
0.3
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
0.3
1772e913-f62e-446a-8cf3-720348_D2
Tumor
0.3
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
0.3
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
0.3
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
0.3
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
0.3
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
0.3
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
0.3
340a3769-3031-41ae-bb08-a2f696_D2
Normal
0.3
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
0.2
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
0.2
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
0.2
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
0.1
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
0.1
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
0.1
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
0.1
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
0.1
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
0.1
285fed94-1495-448e-879b-b55de9_D2
Tumor
0.0
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
0.0
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
0.0
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
0.0
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
0.0
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
0.0
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
-0.1
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
-0.1
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
-0.1
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
-0.1
1db5574d-aca7-403c-8100-6e705f_D2
Normal
-0.1
10c2d629-0287-4511-ac25-f29031_D2
Tumor
-0.1
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
-0.2
2f901c90-617e-46da-9fac-d68369_D2
Tumor
-0.2
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
-0.2
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
-0.2
15524912-685a-47ce-a824-567848_D2
Tumor
-0.2
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
-0.2
161317f3-1a39-438e-af45-cd2502_D2
Tumor
-0.2
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
-0.2
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
-0.2
e9d416e7-f661-400a-896e-388545_D2
Tumor
-0.2
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
-0.2
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
-0.2
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
-0.2
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
-0.2
a3a26070-fb84-406a-8280-d555e6_D2
Normal
-0.2
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
-0.3
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
-0.3
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
-0.3
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
-0.3
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
-0.3
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
-0.3
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
-0.3
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
-0.3
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
-0.3
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
-0.3
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
-0.3
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
-0.3
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
-0.4
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
-0.4
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
-0.4
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
-0.4
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
-0.4
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
-0.4
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
-0.4
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
-0.4
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
-0.4
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
-0.5
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
-0.5
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
-0.5
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
-0.5
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
-0.5
1a10c200-3895-4648-b951-94f99f_D2
Tumor
-0.5
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
-0.5
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
-0.6
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
-0.6
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
-0.6
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
-0.7
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
-0.7
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
-0.7
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
-0.8
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
-0.9
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
-0.9
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
-1.0
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
