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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.
IGHG1 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
993.6
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
14625.1
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
14607.8
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
12854.2
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
11350.8
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
10226.4
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
9876.3
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
9259.7
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
8558.3
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
8465.0
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
8359.2
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
7927.5
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
7038.3
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
6785.0
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
6017.6
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
5655.0
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
5425.0
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
5157.1
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
5122.6
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
4886.0
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
4597.3
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
4487.0
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
4476.8
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
4227.7
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
4151.9
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
3759.9
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
3561.5
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
3470.9
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
3209.8
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
3168.2
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
3085.4
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
3076.4
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
3068.3
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
2992.0
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
2970.1
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
2964.1
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
2946.0
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
2785.8
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
2771.4
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
2519.0
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
2456.8
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
2347.9
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
2264.6
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
2258.4
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
2124.3
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
2088.1
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
2069.2
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
2063.6
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
2054.6
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
2041.0
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
1923.9
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
1884.9
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
1873.7
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
1854.3
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
1795.9
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
1747.5
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
1744.2
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
1658.2
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
1632.5
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
1609.4
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
1587.0
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
1581.7
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
1561.3
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
1556.8
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
1517.9
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
1504.8
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
1499.1
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
1476.8
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
1475.6
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
1471.0
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
1446.1
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
1389.4
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
1379.7
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
1290.4
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
1288.9
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
1278.0
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
1251.1
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
1243.9
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
1174.1
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
1091.7
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
1049.6
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
1046.8
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
1038.8
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
1014.6
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
1001.5
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
996.7
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
982.6
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
964.9
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
952.0
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
948.2
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
921.7
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
860.2
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
857.6
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
852.5
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
846.3
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
823.3
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
789.6
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
788.1
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
757.3
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
749.8
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
721.3
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
697.2
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
685.7
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
678.8
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
678.1
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
660.3
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
645.5
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
642.5
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
619.9
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
593.0
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
569.9
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
569.1
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
549.6
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
537.1
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
535.9
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
534.7
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
526.3
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
524.1
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
503.6
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
488.7
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
461.4
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
455.8
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
448.3
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
445.0
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
444.7
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
442.5
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
441.3
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
440.3
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
436.0
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
425.2
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
416.3
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
398.7
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
397.2
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
379.2
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
377.2
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
372.5
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
335.7
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
335.6
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
333.6
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
325.2
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
318.2
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
309.2
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
291.6
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
283.8
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
266.9
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
254.7
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
251.3
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
248.1
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
242.6
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
235.8
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
233.8
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
224.0
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
217.2
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
216.8
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
215.1
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
192.4
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
175.1
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
175.0
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
171.0
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
169.2
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
159.4
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
157.4
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
148.7
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
136.8
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
130.3
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
124.9
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
120.0
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
109.6
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
108.8
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
108.6
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
108.0
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
107.1
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
106.2
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
104.9
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
102.5
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
96.8
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
94.5
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
91.8
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
91.2
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
89.3
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
86.8
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
86.6
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
86.2
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
78.3
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
76.7
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
74.6
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
73.3
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
73.1
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
72.9
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
67.2
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
66.6
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
65.1
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
65.1
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
62.3
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
61.8
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
60.8
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
58.7
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
58.6
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
58.4
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
53.5
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
52.5
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
52.0
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
51.8
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
50.9
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
50.1
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
46.3
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
45.8
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
44.3
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
43.1
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
42.4
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
41.4
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
41.1
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
39.7
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
39.7
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
38.0
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
36.9
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
36.3
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
34.7
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
33.8
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
33.1
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
32.9
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
32.8
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
30.9
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
29.0
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
28.5
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
28.4
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
28.3
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
27.8
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
27.3
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
26.5
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
26.0
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
24.4
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
24.3
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
24.2
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
21.5
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
21.5
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
21.2
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
20.4
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
20.1
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
19.8
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
19.8
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
19.2
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
18.5
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
18.4
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
18.2
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
18.2
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
18.1
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
18.1
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
17.7
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
16.9
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
16.7
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
15.4
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
15.2
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
14.5
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
13.9
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
13.8
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
13.4
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
13.0
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
12.9
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
12.2
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
11.6
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
11.3
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
11.1
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
10.9
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
10.2
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
9.9
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
9.8
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
9.8
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
9.1
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
8.7
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
8.6
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
8.5
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
8.2
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
7.8
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
7.7
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
7.5
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
7.2
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
7.1
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
7.0
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
6.9
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
6.5
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
6.4
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
6.3
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
6.2
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
6.1
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
6.1
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
6.0
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
5.9
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
5.8
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
5.6
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
5.4
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
5.2
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
5.1
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
5.0
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
4.7
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
4.7
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
4.7
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
4.6
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
4.5
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
4.5
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
4.5
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
4.5
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
4.0
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
4.0
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
3.9
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
3.8
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
3.5
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
3.4
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
3.3
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
3.1
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
3.0
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
2.8
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
2.8
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
2.5
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
2.4
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
2.1
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
2.1
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
2.0
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
1.9
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
1.9
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
1.7
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
1.6
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
1.5
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
1.5
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
1.5
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
1.1
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
1.0
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
0.9
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
0.8
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
0.7
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
0.7
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
0.7
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
0.7
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
0.6
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
0.6
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
0.6
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
0.6
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
0.6
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
0.4
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
0.4
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
0.3
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
0.3
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
0.3
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
0.3
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
0.2
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
0.2
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
0.1
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
0.1
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
0.1
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
IGHG1 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
59638.0
Number of samples
81
Samples
Sample
Description
pTPM
DO46436
58 years, female, NA, stage:III, alive, 3193 days
204727.0
DO46358
60 years, female, NA, stage:III, dead, 423 days
173126.0
DO46412
64 years, female, NA, stage:III, dead, 597 days
163122.0
DO46432
56 years, female, NA, stage:III, alive, 2218 days
158503.0
DO46374
69 years, female, NA, stage:III, dead, 1409 days
146197.0
DO46342
67 years, female, NA, stage:III, dead, 1398 days
141934.0
DO46398
66 years, female, NA, stage:III, alive, 437 days
140561.0
DO46336
70 years, female, NA, stage:IV, dead, 664 days
135642.0
DO46380
51 years, female, NA, stage:III, dead, 1423 days
131922.0
DO46372
39 years, female, NA, stage:III, dead, 1326 days
118102.0
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
117297.0
DO46402
77 years, female, NA, stage:III, dead, 511 days
116086.0
DO46332
56 years, female, NA, stage:III, dead, 689 days
115820.0
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
114270.0
DO46396
64 years, female, NA, stage:III, dead, 583 days
112531.0
DO46366
65 years, female, NA, stage:III, dead, 2054 days
111266.0
DO46453
66 years, female, NA, stage:III, dead, 3294 days
110666.0
DO46325
54 years, female, NA, stage:III, dead, 477 days
110482.0
DO46493
62 years, female, NA, stage:IV, alive, 839 days
108674.0
DO46468
67 years, female, NA, stage:III, alive, 2776 days
108156.0
DO46546
73 years, female, NA, stage:III, dead, 1889 days
91961.1
DO46571
61 years, female, NA, stage:III, dead, 243 days
90936.6
DO46352
60 years, female, NA, stage:III, dead, 677 days
88816.1
DO46340
62 years, female, NA, stage:III, dead, 616 days
85857.2
DO46576
75 years, female, NA, stage:III, alive, 133 days
75707.7
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
72037.0
DO46388
74 years, female, NA, stage:III, dead, 413 days
71325.8
DO46344
46 years, female, NA, stage:III, dead, 642 days
71008.0
DO46597
60 years, female, NA, stage:III, dead, 393 days
67583.5
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
67120.2
DO46368
57 years, female, NA, stage:III, dead, 2879 days
66529.8
DO46551
58 years, female, NA, stage:III, dead, 1055 days
65027.6
DO46528
56 years, female, NA, stage:III, alive, 6139 days
61190.1
DO46346
54 years, female, NA, stage:III, dead, 1187 days
60975.5
DO46560
45 years, female, NA, stage:IV, dead, 286 days
59883.1
DO46386
49 years, female, NA, stage:III, dead, 1162 days
54849.3
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
53545.9
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
53472.9
DO46392
48 years, female, NA, stage:III, dead, 628 days
50804.3
DO46591
58 years, female, NA, stage:III, dead, 195 days
50769.8
DO46448
45 years, female, NA, stage:III, dead, 654 days
49709.8
DO46376
58 years, female, NA, stage:III, dead, 1430 days
41389.8
DO46508
50 years, female, NA, stage:III, dead, 2101 days
41224.3
DO46602
74 years, female, NA, stage:III, dead, 205 days
40280.4
DO46334
77 years, female, NA, stage:III, dead, 496 days
39490.9
DO46327
54 years, female, NA, stage:III, dead, 184 days
38668.1
DO46606
73 years, female, NA, stage:III, alive, 804 days
35713.7
DO46384
55 years, female, NA, stage:III, dead, 614 days
35497.3
DO46581
66 years, female, NA, stage:III, dead, 408 days
34531.8
DO46348
58 years, female, NA, stage:IV, dead, 287 days
34419.4
DO46364
45 years, female, NA, stage:III, dead, 806 days
32020.5
DO46443
59 years, female, NA, stage:III, dead, 2464 days
31484.8
DO46561
52 years, female, NA, stage:III, dead, 195 days
31354.9
DO46326
51 years, female, NA, stage:III, dead, 701 days
30715.2
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
29400.5
DO46354
73 years, female, NA, stage:III, dead, 843 days
28546.6
DO46350
66 years, female, NA, stage:III, dead, 886 days
28406.9
DO46356
68 years, female, NA, stage:III, dead, 911 days
28114.7
DO46382
62 years, female, NA, stage:IV, dead, 311 days
27218.3
DO46611
52 years, female, NA, stage:III, dead, 734 days
23431.1
DO46331
72 years, female, NA, stage:III, dead, 612 days
20942.0
DO46566
78 years, female, NA, stage:III, dead, 673 days
18239.3
DO46463
49 years, female, NA, stage:III, dead, 2451 days
17451.0
DO46338
59 years, female, NA, stage:III, dead, 596 days
15645.6
DO46408
56 years, female, NA, stage:III, dead, 489 days
13124.0
DO46378
59 years, female, NA, stage:III, alive, 843 days
11597.0
DO46390
65 years, female, NA, stage:III, dead, 374 days
10700.6
DO46400
70 years, female, NA, stage:III, dead, 719 days
9420.1
DO46404
55 years, female, NA, stage:III, dead, 690 days
9223.9
DO46568
66 years, female, NA, stage:III, dead, 320 days
7867.9
DO46362
61 years, female, NA, stage:III, dead, 1639 days
5296.8
DO46329
52 years, female, NA, stage:III, dead, 1699 days
2847.1
DO46328
52 years, female, NA, stage:III, dead, 972 days
2580.5
DO46518
62 years, female, NA, stage:III, alive, 2960 days
1943.4
DO46330
60 years, female, NA, stage:III, dead, 684 days
1723.6
DO46333
58 years, female, NA, stage:III, dead, 359 days
1199.3
DO46586
55 years, female, NA, stage:III, dead, 1019 days
469.0
DO46538
57 years, female, NA, stage:III, dead, 1527 days
227.9
DO46370
54 years, female, NA, stage:III, dead, 1727 days
49.8
DO46533
46 years, female, NA, stage:III, alive, 3667 days
22.4
DO46588
74 years, female, NA, stage:III, dead, 438 days
4.1
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
2.2
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
2.1
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
2.0
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
1.9
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
1.9
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
1.8
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
1.8
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
1.7
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
1.7
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
1.6
21efd60f-6a31-4b98-9477-16a905_D2
Normal
1.6
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
1.5
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
1.5
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
1.4
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
1.4
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
1.4
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
1.4
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
1.4
a65d8e76-640f-4341-a561-afbb57_D2
Normal
1.4
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
1.4
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
1.3
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
1.3
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
1.3
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
1.2
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
1.2
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
1.2
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
1.1
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
1.1
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
1.1
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
1.1
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
1.1
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
1.1
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
1.1
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
1.0
a3a26070-fb84-406a-8280-d555e6_D2
Normal
1.0
2f901c90-617e-46da-9fac-d68369_D2
Tumor
1.0
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
1.0
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
0.9
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
0.9
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
0.9
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
0.9
340a3769-3031-41ae-bb08-a2f696_D2
Normal
0.9
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
0.9
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
0.9
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
0.9
1db5574d-aca7-403c-8100-6e705f_D2
Normal
0.9
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
0.8
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
0.8
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
0.8
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
0.8
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
0.7
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
0.7
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
0.7
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
0.6
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
0.6
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
0.6
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
0.6
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
0.6
285fed94-1495-448e-879b-b55de9_D2
Tumor
0.6
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
0.6
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
0.5
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
0.5
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
0.5
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
0.5
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
0.5
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
0.5
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
0.5
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
0.5
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
0.4
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
0.4
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
0.4
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
0.4
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
0.4
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
0.4
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
0.3
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
0.3
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
0.3
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
0.3
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
0.3
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
0.3
15524912-685a-47ce-a824-567848_D2
Tumor
0.3
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
0.2
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
0.2
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
0.2
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
0.1
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
0.1
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
0.1
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
0.1
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
0.1
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
0.0
e9d416e7-f661-400a-896e-388545_D2
Tumor
-0.1
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
-0.1
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
-0.1
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
-0.1
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
-0.2
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
-0.2
1a10c200-3895-4648-b951-94f99f_D2
Tumor
-0.2
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
-0.2
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
-0.3
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
-0.3
161317f3-1a39-438e-af45-cd2502_D2
Tumor
-0.3
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
-0.3
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
-0.4
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
-0.5
10c2d629-0287-4511-ac25-f29031_D2
Tumor
-0.5
1772e913-f62e-446a-8cf3-720348_D2
Tumor
-0.6
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
-0.8
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
-0.8
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
