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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.
CDKN2A 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
419.0
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
1721.0
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
1660.2
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
1437.1
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
1393.1
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
1385.7
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
1383.5
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
1295.5
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
1260.2
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
1232.4
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
1183.1
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
1174.7
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
1172.7
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
1164.0
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
1156.9
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
1150.6
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
1146.3
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
1146.0
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
1101.2
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
1096.1
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
1090.4
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
1084.2
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
1081.9
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
1081.3
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
1044.9
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
1027.0
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
986.8
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
960.4
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
958.2
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
952.9
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
932.5
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
926.9
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
925.2
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
923.4
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
921.6
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
910.9
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
899.6
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
892.6
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
875.5
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
851.2
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
842.7
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
842.7
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
842.6
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
829.3
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
827.2
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
824.9
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
813.8
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
795.5
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
793.7
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
793.0
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
790.9
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
790.5
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
789.0
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
779.8
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
776.8
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
773.5
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
770.5
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
770.3
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
762.3
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
760.5
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
757.4
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
755.4
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
752.4
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
745.1
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
722.6
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
721.6
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
719.3
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
707.1
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
705.7
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
705.2
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
702.8
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
702.6
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
698.3
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
695.6
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
692.5
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
690.2
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
688.7
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
688.0
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
676.5
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
675.4
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
671.7
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
669.7
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
667.2
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
645.2
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
644.2
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
642.0
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
638.7
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
636.8
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
622.4
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
620.9
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
620.7
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
618.0
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
611.8
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
611.3
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
608.3
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
604.5
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
602.9
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
600.2
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
590.4
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
588.4
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
583.8
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
575.7
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
575.1
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
573.8
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
573.0
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
572.7
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
566.5
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
560.2
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
550.1
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
548.5
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
548.3
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
538.1
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
533.7
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
531.2
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
529.8
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
526.6
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
525.8
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
523.6
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
521.1
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
520.0
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
518.9
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
518.6
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
515.1
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
514.6
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
507.6
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
507.3
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
505.7
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
505.0
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
504.5
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
496.0
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
495.1
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
490.1
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
489.4
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
479.8
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
478.3
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
477.9
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
470.6
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
469.9
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
469.3
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
467.0
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
465.7
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
464.6
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
464.3
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
464.1
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
463.0
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
462.8
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
461.7
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
454.2
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
451.5
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
448.3
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
444.4
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
443.6
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
440.8
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
440.8
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
436.7
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
435.8
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
430.5
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
427.5
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
426.6
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
426.1
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
425.0
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
409.4
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
406.5
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
404.6
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
404.2
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
401.6
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
396.2
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
392.8
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
392.6
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
388.8
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
388.6
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
387.9
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
387.2
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
385.7
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
384.7
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
381.2
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
379.8
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
374.7
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
373.9
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
373.7
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
367.0
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
366.0
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
365.3
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
362.2
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
361.8
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
361.6
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
360.1
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
353.8
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
349.7
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
337.7
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
335.4
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
334.8
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
330.7
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
329.9
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
324.2
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
321.6
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
321.4
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
316.2
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
315.4
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
312.6
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
311.1
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
310.2
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
309.0
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
306.0
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
298.1
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
296.2
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
293.0
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
286.5
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
285.8
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
282.9
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
281.7
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
281.3
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
281.2
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
272.9
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
268.8
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
268.0
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
266.7
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
266.3
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
263.4
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
258.8
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
258.0
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
246.1
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
244.6
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
241.9
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
240.8
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
232.1
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
231.1
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
226.0
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
225.5
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
221.7
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
221.1
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
219.1
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
215.7
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
208.3
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
207.9
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
201.6
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
183.9
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
179.0
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
178.1
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
178.1
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
173.6
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
165.0
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
162.2
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
151.6
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
148.7
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
137.7
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
130.7
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
122.4
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
119.9
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
118.0
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
116.9
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
114.2
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
110.7
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
108.5
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
102.3
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
96.5
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
95.2
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
94.4
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
93.4
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
91.2
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
90.3
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
90.1
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
84.6
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
82.7
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
80.4
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
77.0
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
75.2
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
75.0
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
72.4
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
68.5
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
66.9
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
64.1
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
60.5
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
58.3
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
57.3
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
54.7
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
54.3
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
51.1
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
50.9
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
49.5
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
47.5
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
45.0
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
44.8
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
43.9
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
42.8
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
42.5
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
42.4
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
41.8
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
41.6
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
41.1
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
41.0
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
40.7
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
39.0
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
37.2
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
37.1
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
35.3
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
34.1
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
33.8
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
33.2
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
32.4
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
31.1
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
31.0
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
30.0
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
29.9
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
29.8
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
29.1
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
27.6
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
27.4
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
26.6
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
26.1
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
25.4
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
25.3
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
22.6
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
22.3
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
21.7
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
21.1
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
21.0
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
20.7
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
20.7
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
20.6
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
20.1
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
18.4
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
18.2
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
17.9
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
17.0
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
16.5
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
14.9
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
14.5
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
14.2
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
13.7
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
13.5
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
13.4
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
13.1
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
12.4
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
12.0
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
10.9
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
10.7
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
10.6
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
10.4
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
9.2
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
9.1
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
8.8
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
8.3
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
7.5
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
5.4
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
4.0
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
3.7
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
3.6
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
2.1
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 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.
CDKN2A 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
130.4
Number of samples
81
Samples
Sample
Description
pTPM
DO46602
74 years, female, NA, stage:III, dead, 205 days
403.4
DO46533
46 years, female, NA, stage:III, alive, 3667 days
396.5
DO46362
61 years, female, NA, stage:III, dead, 1639 days
336.1
DO46364
45 years, female, NA, stage:III, dead, 806 days
309.3
DO46408
56 years, female, NA, stage:III, dead, 489 days
304.2
DO46586
55 years, female, NA, stage:III, dead, 1019 days
300.1
DO46551
58 years, female, NA, stage:III, dead, 1055 days
295.6
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
291.9
DO46333
58 years, female, NA, stage:III, dead, 359 days
287.1
DO46528
56 years, female, NA, stage:III, alive, 6139 days
285.7
DO46330
60 years, female, NA, stage:III, dead, 684 days
279.6
DO46468
67 years, female, NA, stage:III, alive, 2776 days
277.1
DO46352
60 years, female, NA, stage:III, dead, 677 days
258.8
DO46432
56 years, female, NA, stage:III, alive, 2218 days
245.1
DO46327
54 years, female, NA, stage:III, dead, 184 days
243.6
DO46376
58 years, female, NA, stage:III, dead, 1430 days
225.2
DO46398
66 years, female, NA, stage:III, alive, 437 days
224.8
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
223.8
DO46453
66 years, female, NA, stage:III, dead, 3294 days
216.0
DO46332
56 years, female, NA, stage:III, dead, 689 days
215.0
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
200.0
DO46370
54 years, female, NA, stage:III, dead, 1727 days
190.1
DO46581
66 years, female, NA, stage:III, dead, 408 days
181.6
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
175.5
DO46560
45 years, female, NA, stage:IV, dead, 286 days
170.4
DO46493
62 years, female, NA, stage:IV, alive, 839 days
168.9
DO46334
77 years, female, NA, stage:III, dead, 496 days
163.9
DO46606
73 years, female, NA, stage:III, alive, 804 days
159.2
DO46378
59 years, female, NA, stage:III, alive, 843 days
159.2
DO46508
50 years, female, NA, stage:III, dead, 2101 days
155.8
DO46538
57 years, female, NA, stage:III, dead, 1527 days
152.6
DO46597
60 years, female, NA, stage:III, dead, 393 days
144.6
DO46396
64 years, female, NA, stage:III, dead, 583 days
143.2
DO46448
45 years, female, NA, stage:III, dead, 654 days
139.8
DO46436
58 years, female, NA, stage:III, alive, 3193 days
139.1
DO46368
57 years, female, NA, stage:III, dead, 2879 days
138.1
DO46591
58 years, female, NA, stage:III, dead, 195 days
132.0
DO46392
48 years, female, NA, stage:III, dead, 628 days
130.0
DO46546
73 years, female, NA, stage:III, dead, 1889 days
128.4
DO46568
66 years, female, NA, stage:III, dead, 320 days
126.6
DO46571
61 years, female, NA, stage:III, dead, 243 days
125.2
DO46328
52 years, female, NA, stage:III, dead, 972 days
118.5
DO46566
78 years, female, NA, stage:III, dead, 673 days
110.0
DO46354
73 years, female, NA, stage:III, dead, 843 days
104.8
DO46358
60 years, female, NA, stage:III, dead, 423 days
100.7
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
100.0
DO46412
64 years, female, NA, stage:III, dead, 597 days
98.4
DO46576
75 years, female, NA, stage:III, alive, 133 days
93.4
DO46388
74 years, female, NA, stage:III, dead, 413 days
90.0
DO46382
62 years, female, NA, stage:IV, dead, 311 days
88.2
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
85.3
DO46400
70 years, female, NA, stage:III, dead, 719 days
80.6
DO46348
58 years, female, NA, stage:IV, dead, 287 days
68.3
DO46350
66 years, female, NA, stage:III, dead, 886 days
66.1
DO46325
54 years, female, NA, stage:III, dead, 477 days
62.3
DO46346
54 years, female, NA, stage:III, dead, 1187 days
49.9
DO46372
39 years, female, NA, stage:III, dead, 1326 days
41.7
DO46386
49 years, female, NA, stage:III, dead, 1162 days
41.5
DO46390
65 years, female, NA, stage:III, dead, 374 days
37.8
DO46443
59 years, female, NA, stage:III, dead, 2464 days
34.9
DO46374
69 years, female, NA, stage:III, dead, 1409 days
33.3
DO46344
46 years, female, NA, stage:III, dead, 642 days
30.5
DO46336
70 years, female, NA, stage:IV, dead, 664 days
30.1
DO46611
52 years, female, NA, stage:III, dead, 734 days
24.3
DO46380
51 years, female, NA, stage:III, dead, 1423 days
17.8
DO46340
62 years, female, NA, stage:III, dead, 616 days
15.6
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
13.2
DO46588
74 years, female, NA, stage:III, dead, 438 days
12.2
DO46331
72 years, female, NA, stage:III, dead, 612 days
9.7
DO46366
65 years, female, NA, stage:III, dead, 2054 days
8.6
DO46404
55 years, female, NA, stage:III, dead, 690 days
7.4
DO46342
67 years, female, NA, stage:III, dead, 1398 days
7.3
DO46402
77 years, female, NA, stage:III, dead, 511 days
7.2
DO46329
52 years, female, NA, stage:III, dead, 1699 days
6.2
DO46338
59 years, female, NA, stage:III, dead, 596 days
5.7
DO46384
55 years, female, NA, stage:III, dead, 614 days
5.6
DO46463
49 years, female, NA, stage:III, dead, 2451 days
5.3
DO46518
62 years, female, NA, stage:III, alive, 2960 days
5.3
DO46326
51 years, female, NA, stage:III, dead, 701 days
3.8
DO46356
68 years, female, NA, stage:III, dead, 911 days
3.3
DO46561
52 years, female, NA, stage:III, dead, 195 days
0.6
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
1.5
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
1.3
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
1.2
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
1.1
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
1.1
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
0.9
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
0.9
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
0.8
e9d416e7-f661-400a-896e-388545_D2
Tumor
0.6
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
0.6
1a10c200-3895-4648-b951-94f99f_D2
Tumor
0.6
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
0.6
1db5574d-aca7-403c-8100-6e705f_D2
Normal
0.5
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
0.5
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
0.5
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
0.5
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
0.5
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
0.5
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
0.5
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
0.4
a3a26070-fb84-406a-8280-d555e6_D2
Normal
0.4
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
0.4
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
0.4
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
0.3
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
0.3
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
0.3
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
0.2
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
0.2
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
0.2
161317f3-1a39-438e-af45-cd2502_D2
Tumor
0.2
2f901c90-617e-46da-9fac-d68369_D2
Tumor
0.2
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
0.2
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
0.2
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
0.2
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
0.1
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
0.1
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
0.1
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
0.1
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
0.1
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
0.1
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
0.0
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
0.0
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
0.0
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
0.0
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
0.0
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
0.0
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
0.0
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
0.0
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
-0.1
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
-0.1
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
-0.1
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
-0.1
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
-0.1
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
-0.1
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-0.1
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
-0.2
285fed94-1495-448e-879b-b55de9_D2
Tumor
-0.2
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
-0.2
1772e913-f62e-446a-8cf3-720348_D2
Tumor
-0.2
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
-0.2
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
-0.2
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
-0.3
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
-0.3
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
-0.3
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
-0.3
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
-0.3
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
-0.3
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-0.3
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
-0.3
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
-0.3
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
-0.3
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
-0.3
a65d8e76-640f-4341-a561-afbb57_D2
Normal
-0.4
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
-0.4
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
-0.4
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
-0.5
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
-0.5
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
-0.5
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
-0.5
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
-0.5
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
-0.6
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
-0.6
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
-0.6
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
-0.6
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
-0.6
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
-0.7
15524912-685a-47ce-a824-567848_D2
Tumor
-0.7
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
-0.7
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
-0.7
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
-0.8
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
-0.8
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
-0.8
10c2d629-0287-4511-ac25-f29031_D2
Tumor
-0.8
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
-0.9
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
-1.0
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-1.0
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
-1.0
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
-1.1
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
-1.1
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
-1.1
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
-1.1
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
-1.1
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
-1.2
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
-1.2
340a3769-3031-41ae-bb08-a2f696_D2
Normal
-1.2
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
-1.5
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
-1.6
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
-2.0
Show allShow less
OVARIAN CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
