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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.
FTH1 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 TPM
6129.8
Number of samples
349
Samples
Sample
Description
TPM
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
27436.5
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
23634.7
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
21498.5
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
20141.9
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
18942.8
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
18366.8
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
18041.0
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
17780.4
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
17578.3
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
17460.4
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
17223.7
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
17010.9
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
16989.5
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
16698.4
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
16140.5
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
16000.7
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
15047.0
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
14390.4
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
14090.5
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
13275.3
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
13210.8
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
13169.8
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
13071.1
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
12710.2
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
12674.2
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
12512.7
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
12463.7
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
12411.2
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
12182.2
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
11892.1
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
11833.2
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
11804.5
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
11621.0
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
11281.7
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
11272.0
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
11093.5
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
10748.3
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
10669.2
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
10567.9
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
10052.7
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
10030.7
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
10005.3
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
9961.8
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
9934.3
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
9892.6
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
9746.7
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
9721.2
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
9693.8
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
9629.9
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
9562.4
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
9531.3
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
9508.5
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
9463.3
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
9374.0
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
9358.1
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
9324.4
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
9237.4
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
9179.6
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
9144.5
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
9070.9
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
8994.5
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
8990.5
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
8971.5
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
8953.7
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
8940.1
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
8926.1
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
8750.6
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
8745.4
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
8729.6
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
8480.9
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
8472.6
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
8341.7
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
8332.4
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
8316.6
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
8145.1
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
8087.6
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
8003.5
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
7980.4
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
7963.7
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
7957.9
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
7952.1
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
7913.9
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
7856.0
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
7806.3
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
7587.3
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
7545.4
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
7542.3
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
7525.6
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
7489.7
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
7466.7
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
7451.4
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
7413.2
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
7398.2
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
7237.3
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
7215.1
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
7206.0
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
7169.4
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
7127.3
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
7078.1
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
7070.2
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
7042.8
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
7023.7
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
6992.0
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
6991.1
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
6967.5
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
6958.3
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
6939.7
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
6925.8
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
6891.4
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
6880.5
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
6854.9
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
6831.4
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
6802.9
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
6774.7
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
6760.8
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
6757.0
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
6674.2
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
6665.9
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
6632.4
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
6581.0
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
6556.7
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
6542.6
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
6540.1
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
6519.0
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
6515.3
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
6502.4
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
6482.6
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
6480.1
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
6453.1
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
6438.9
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
6359.9
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
6352.9
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
6316.9
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
6305.3
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
6300.2
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
6161.0
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
6118.9
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
6114.3
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
6103.0
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
6099.8
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
6075.2
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
6071.5
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
6052.5
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
6041.6
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
6004.7
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
5929.0
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
5906.7
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
5831.6
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
5791.2
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
5780.3
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
5775.5
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
5714.1
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
5637.0
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
5624.1
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
5623.0
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
5611.9
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
5593.9
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
5586.4
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
5520.6
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
5517.6
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
5481.9
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
5473.0
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
5464.3
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
5463.8
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
5416.9
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
5374.1
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
5370.9
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
5365.0
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
5340.1
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
5331.2
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
5286.6
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
5285.5
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
5241.2
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
5236.1
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
5203.2
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
5171.9
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
5161.9
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
5156.8
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
5148.4
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
5090.8
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
5053.8
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
5039.8
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
5019.5
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
5019.2
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
5013.1
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
4988.2
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
4982.3
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
4970.9
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
4963.4
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
4936.4
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
4921.6
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
4916.4
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
4897.8
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
4897.7
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
4891.0
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
4884.6
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
4852.1
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
4851.1
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
4798.5
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
4761.8
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
4757.5
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
4673.0
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
4659.1
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
4623.5
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
4611.0
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
4564.2
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
4487.6
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
4467.4
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
4465.4
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
4441.1
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
4406.8
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
4383.2
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
4356.6
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
4351.4
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
4346.2
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
4309.7
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
4284.4
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
4281.9
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
4237.2
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
4182.1
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
4149.4
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
4121.6
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
4111.4
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
4100.3
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
4068.4
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
4011.4
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
4008.5
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
3991.5
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
3989.0
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
3941.1
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
3905.5
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
3893.9
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
3848.9
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
3815.2
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
3813.7
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
3812.2
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
3803.7
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
3774.5
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
3768.3
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
3697.1
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
3680.0
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
3674.1
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
3644.6
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
3606.1
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
3599.6
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
3589.0
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
3584.8
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
3571.6
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
3571.4
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
3570.6
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
3560.2
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
3559.9
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
3558.0
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
3534.5
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
3514.8
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
3506.6
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
3482.2
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
3454.9
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
3416.7
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
3399.2
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
3386.7
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
3384.5
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
3352.9
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
3329.4
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
3320.3
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
3314.5
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
3301.8
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
3214.8
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
3203.6
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
3196.1
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
3190.5
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
3189.1
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
3177.7
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
3093.6
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
3091.7
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
3038.8
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
3025.8
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
3018.8
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
3013.0
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
3003.2
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
3000.2
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
2965.4
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
2947.7
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
2943.6
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
2931.6
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
2929.0
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
2929.0
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
2883.2
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
2870.9
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
2807.1
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
2790.0
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
2777.8
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
2738.9
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
2737.3
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
2725.4
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
2722.0
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
2700.1
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
2699.9
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
2604.9
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
2577.3
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
2565.1
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
2486.0
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
2373.6
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
2348.7
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
2310.2
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
2297.7
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
2244.6
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
2203.3
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
2177.2
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
2168.8
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
2159.3
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
2156.3
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
2138.8
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
2133.0
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
2124.0
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
2123.2
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
2122.4
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
2102.9
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
2050.9
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
2044.9
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
2010.3
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
1978.5
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
1967.5
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
1965.7
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
1942.7
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
1932.0
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
1931.5
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
1926.7
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
1893.3
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
1871.8
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
1836.7
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
1825.5
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
1819.0
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
1748.7
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
1732.2
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
1691.2
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
1615.0
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
1601.3
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
1525.0
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
1449.6
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
1446.9
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
1334.4
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
1228.4
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
1127.3
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
1051.0
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
1048.4
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
1021.3
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
986.9
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 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.
FTH1 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 TPM
4009.5
Number of samples
81
Samples
Sample
Description
TPM
DO46380
51 years, female, NA, stage:III, dead, 1423 days
12685.2
DO46551
58 years, female, NA, stage:III, dead, 1055 days
11601.1
DO46350
66 years, female, NA, stage:III, dead, 886 days
11022.3
DO46368
57 years, female, NA, stage:III, dead, 2879 days
10397.3
DO46366
65 years, female, NA, stage:III, dead, 2054 days
9946.4
DO46611
52 years, female, NA, stage:III, dead, 734 days
9477.7
DO46538
57 years, female, NA, stage:III, dead, 1527 days
8834.7
DO46591
58 years, female, NA, stage:III, dead, 195 days
7270.2
DO46333
58 years, female, NA, stage:III, dead, 359 days
7219.7
DO46325
54 years, female, NA, stage:III, dead, 477 days
7066.1
DO46332
56 years, female, NA, stage:III, dead, 689 days
6225.9
DO46546
73 years, female, NA, stage:III, dead, 1889 days
6165.2
DO46388
74 years, female, NA, stage:III, dead, 413 days
5811.2
DO46576
75 years, female, NA, stage:III, alive, 133 days
5807.1
DO46329
52 years, female, NA, stage:III, dead, 1699 days
5705.5
DO46528
56 years, female, NA, stage:III, alive, 6139 days
5426.4
DO46586
55 years, female, NA, stage:III, dead, 1019 days
5349.9
DO46493
62 years, female, NA, stage:IV, alive, 839 days
5304.1
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
5227.1
DO46342
67 years, female, NA, stage:III, dead, 1398 days
5165.5
DO46453
66 years, female, NA, stage:III, dead, 3294 days
4686.9
DO46606
73 years, female, NA, stage:III, alive, 804 days
4682.7
DO46354
73 years, female, NA, stage:III, dead, 843 days
4633.5
DO46327
54 years, female, NA, stage:III, dead, 184 days
4578.0
DO46346
54 years, female, NA, stage:III, dead, 1187 days
4376.0
DO46404
55 years, female, NA, stage:III, dead, 690 days
4341.2
DO46348
58 years, female, NA, stage:IV, dead, 287 days
4291.8
DO46581
66 years, female, NA, stage:III, dead, 408 days
4268.4
DO46376
58 years, female, NA, stage:III, dead, 1430 days
4263.1
DO46432
56 years, female, NA, stage:III, alive, 2218 days
4240.4
DO46602
74 years, female, NA, stage:III, dead, 205 days
4133.9
DO46344
46 years, female, NA, stage:III, dead, 642 days
4049.9
DO46336
70 years, female, NA, stage:IV, dead, 664 days
4040.6
DO46374
69 years, female, NA, stage:III, dead, 1409 days
4012.6
DO46400
70 years, female, NA, stage:III, dead, 719 days
3999.5
DO46340
62 years, female, NA, stage:III, dead, 616 days
3958.0
DO46378
59 years, female, NA, stage:III, alive, 843 days
3946.6
DO46390
65 years, female, NA, stage:III, dead, 374 days
3905.1
DO46443
59 years, female, NA, stage:III, dead, 2464 days
3795.0
DO46448
45 years, female, NA, stage:III, dead, 654 days
3783.5
DO46364
45 years, female, NA, stage:III, dead, 806 days
3358.4
DO46568
66 years, female, NA, stage:III, dead, 320 days
3276.2
DO46571
61 years, female, NA, stage:III, dead, 243 days
3198.4
DO46330
60 years, female, NA, stage:III, dead, 684 days
3161.2
DO46372
39 years, female, NA, stage:III, dead, 1326 days
3065.5
DO46402
77 years, female, NA, stage:III, dead, 511 days
3061.9
DO46508
50 years, female, NA, stage:III, dead, 2101 days
2917.1
DO46356
68 years, female, NA, stage:III, dead, 911 days
2901.2
DO46468
67 years, female, NA, stage:III, alive, 2776 days
2680.5
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
2593.8
DO46408
56 years, female, NA, stage:III, dead, 489 days
2559.2
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
2524.1
DO46382
62 years, female, NA, stage:IV, dead, 311 days
2448.1
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
2444.8
DO46597
60 years, female, NA, stage:III, dead, 393 days
2440.6
DO46392
48 years, female, NA, stage:III, dead, 628 days
2439.8
DO46412
64 years, female, NA, stage:III, dead, 597 days
2427.6
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
2382.6
DO46386
49 years, female, NA, stage:III, dead, 1162 days
2339.3
DO46518
62 years, female, NA, stage:III, alive, 2960 days
2225.1
DO46334
77 years, female, NA, stage:III, dead, 496 days
2208.1
DO46352
60 years, female, NA, stage:III, dead, 677 days
2203.5
DO46358
60 years, female, NA, stage:III, dead, 423 days
2189.3
DO46566
78 years, female, NA, stage:III, dead, 673 days
2113.5
DO46533
46 years, female, NA, stage:III, alive, 3667 days
2097.9
DO46560
45 years, female, NA, stage:IV, dead, 286 days
2034.8
DO46463
49 years, female, NA, stage:III, dead, 2451 days
1947.4
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
1857.1
DO46370
54 years, female, NA, stage:III, dead, 1727 days
1809.5
DO46362
61 years, female, NA, stage:III, dead, 1639 days
1725.3
DO46384
55 years, female, NA, stage:III, dead, 614 days
1719.8
DO46331
72 years, female, NA, stage:III, dead, 612 days
1620.7
DO46561
52 years, female, NA, stage:III, dead, 195 days
1605.1
DO46326
51 years, female, NA, stage:III, dead, 701 days
1570.2
DO46396
64 years, female, NA, stage:III, dead, 583 days
1392.0
DO46398
66 years, female, NA, stage:III, alive, 437 days
1369.7
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
1296.9
DO46338
59 years, female, NA, stage:III, dead, 596 days
1075.9
DO46436
58 years, female, NA, stage:III, alive, 3193 days
1008.1
DO46328
52 years, female, NA, stage:III, dead, 972 days
996.7
DO46588
74 years, female, NA, stage:III, dead, 438 days
793.2
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
1.8
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
1.7
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
1.4
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
1.4
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
1.4
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
1.3
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
1.3
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
1.3
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
1.2
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
1.2
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
1.1
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
1.1
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
1.1
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
1.1
161317f3-1a39-438e-af45-cd2502_D2
Tumor
1.1
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
1.1
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
1.1
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
1.0
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
1.0
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
1.0
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
1.0
285fed94-1495-448e-879b-b55de9_D2
Tumor
1.0
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
1.0
a65d8e76-640f-4341-a561-afbb57_D2
Normal
1.0
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
1.0
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
0.9
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
0.9
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
0.9
21efd60f-6a31-4b98-9477-16a905_D2
Normal
0.8
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
0.8
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
0.8
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
0.8
1db5574d-aca7-403c-8100-6e705f_D2
Normal
0.8
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
0.8
15524912-685a-47ce-a824-567848_D2
Tumor
0.8
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
0.8
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
0.7
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
0.7
340a3769-3031-41ae-bb08-a2f696_D2
Normal
0.7
e9d416e7-f661-400a-896e-388545_D2
Tumor
0.7
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
0.7
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
0.7
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
0.7
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
0.7
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
0.7
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
0.7
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
0.7
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
0.7
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
0.7
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
0.6
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
0.6
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
0.6
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
0.6
a3a26070-fb84-406a-8280-d555e6_D2
Normal
0.6
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
0.6
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
0.5
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
0.5
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
0.5
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
0.5
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
0.5
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
0.5
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
0.5
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
0.5
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
0.5
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
0.5
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
0.5
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
0.5
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
0.5
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
0.5
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
0.5
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
0.4
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
0.4
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
0.4
2f901c90-617e-46da-9fac-d68369_D2
Tumor
0.4
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
0.4
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
0.4
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
0.4
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
0.4
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
0.3
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
0.3
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
0.3
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
0.3
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
0.3
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
0.2
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
0.2
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
0.1
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
0.1
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
0.1
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
0.1
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
0.1
1772e913-f62e-446a-8cf3-720348_D2
Tumor
0.1
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
0.1
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
0.1
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
0.0
1a10c200-3895-4648-b951-94f99f_D2
Tumor
0.0
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
0.0
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
0.0
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
0.0
10c2d629-0287-4511-ac25-f29031_D2
Tumor
0.0
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
-0.1
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
-0.1
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
-0.1
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
-0.1
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
-0.2
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
-0.3
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
-0.3
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
-0.6
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
-0.7
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
