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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.
CSTB 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
488.6
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
2093.8
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
1841.8
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
1661.1
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
1641.0
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
1380.0
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
1353.7
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
1240.7
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
1187.9
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
1175.6
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
1162.7
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
1121.6
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
1104.0
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
1086.6
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
1082.6
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
1072.3
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
1008.0
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
998.8
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
963.6
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
953.0
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
946.9
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
943.2
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
936.2
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
904.6
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
893.0
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
867.8
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
867.5
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
832.6
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
819.3
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
812.1
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
782.7
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
772.9
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
772.0
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
770.7
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
767.4
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
758.7
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
754.3
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
752.1
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
751.4
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
743.8
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
741.8
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
737.9
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
734.2
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
726.7
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
724.2
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
719.4
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
718.2
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
715.7
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
712.9
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
710.7
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
710.6
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
706.5
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
703.8
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
691.6
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
680.3
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
679.5
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
677.2
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
674.2
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
673.6
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
671.4
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
669.4
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
666.7
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
665.0
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
664.9
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
664.6
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
664.3
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
658.5
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
654.4
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
651.5
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
651.4
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
645.9
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
644.7
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
644.1
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
641.3
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
636.0
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
636.0
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
633.5
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
630.2
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
628.0
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
627.6
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
624.8
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
624.2
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
623.3
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
622.5
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
621.8
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
621.2
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
617.7
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
611.9
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
606.3
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
594.5
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
592.8
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
591.9
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
590.7
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
588.3
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
587.7
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
583.9
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
583.9
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
583.8
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
583.7
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
575.6
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
573.4
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
571.7
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
571.1
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
570.6
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
568.8
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
560.9
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
560.6
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
559.6
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
559.4
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
558.8
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
557.1
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
554.3
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
551.1
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
548.6
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
547.3
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
544.5
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
543.3
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
542.0
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
541.9
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
541.6
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
536.1
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
532.1
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
530.6
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
530.0
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
529.4
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
529.4
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
529.0
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
528.5
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
528.4
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
527.4
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
526.4
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
526.0
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
525.3
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
525.0
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
522.9
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
521.8
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
520.8
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
520.2
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
503.6
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
503.5
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
500.7
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
500.7
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
499.7
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
499.1
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
498.8
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
489.9
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
486.1
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
484.1
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
483.3
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
482.5
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
479.1
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
477.9
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
473.7
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
472.9
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
470.5
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
469.5
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
466.2
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
463.5
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
460.3
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
457.4
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
455.7
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
453.6
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
451.7
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
451.3
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
451.1
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
447.9
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
447.6
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
446.5
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
446.2
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
445.5
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
445.4
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
445.0
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
443.6
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
442.0
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
437.2
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
437.0
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
436.4
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
434.2
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
433.2
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
432.3
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
432.0
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
431.8
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
430.3
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
428.3
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
427.8
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
423.9
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
423.8
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
419.0
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
417.3
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
416.0
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
415.1
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
412.3
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
407.5
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
407.0
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
406.8
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
404.9
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
402.7
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
398.6
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
394.8
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
394.3
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
394.2
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
388.8
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
386.4
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
385.9
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
385.8
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
383.5
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
381.7
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
381.5
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
379.2
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
377.5
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
374.4
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
373.0
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
372.9
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
370.8
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
370.4
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
370.3
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
369.9
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
369.8
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
369.7
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
368.8
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
367.2
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
366.2
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
364.6
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
364.2
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
363.7
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
361.6
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
359.7
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
359.5
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
358.3
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
358.1
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
353.4
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
348.9
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
348.7
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
348.0
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
347.3
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
345.3
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
343.9
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
343.2
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
340.2
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
339.0
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
338.4
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
338.2
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
338.2
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
336.7
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
333.7
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
332.5
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
330.9
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
328.2
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
325.6
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
325.4
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
322.7
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
322.5
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
322.4
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
321.1
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
319.8
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
317.2
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
315.9
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
314.4
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
312.8
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
310.9
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
310.1
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
306.3
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
305.6
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
303.9
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
303.0
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
302.8
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
301.5
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
300.1
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
294.8
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
293.6
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
292.5
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
292.0
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
290.3
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
289.7
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
285.8
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
285.4
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
282.8
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
279.9
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
278.7
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
277.7
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
277.4
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
277.1
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
275.6
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
275.0
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
274.0
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
272.8
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
271.2
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
270.3
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
269.5
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
268.9
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
268.5
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
268.2
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
268.1
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
265.8
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
265.2
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
264.6
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
263.2
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
261.6
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
261.1
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
258.6
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
257.7
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
256.3
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
256.1
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
253.9
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
250.6
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
250.3
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
249.6
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
248.0
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
246.7
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
245.8
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
245.5
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
244.8
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
239.1
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
230.2
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
228.7
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
227.5
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
225.7
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
221.5
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
214.6
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
214.1
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
207.6
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
206.5
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
204.9
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
204.3
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
203.7
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
202.9
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
202.1
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
198.4
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
194.5
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
193.2
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
187.5
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
186.6
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
186.3
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
186.1
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
184.6
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
181.4
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
181.0
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
175.8
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
170.6
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
169.6
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
155.1
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
152.9
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
147.0
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
146.8
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
144.2
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
133.8
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
133.6
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
129.5
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
119.7
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 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.
CSTB 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
93.2
Number of samples
81
Samples
Sample
Description
pTPM
DO46538
57 years, female, NA, stage:III, dead, 1527 days
263.2
DO46606
73 years, female, NA, stage:III, alive, 804 days
259.5
DO46404
55 years, female, NA, stage:III, dead, 690 days
245.8
DO46329
52 years, female, NA, stage:III, dead, 1699 days
227.7
DO46432
56 years, female, NA, stage:III, alive, 2218 days
209.6
DO46354
73 years, female, NA, stage:III, dead, 843 days
205.5
DO46340
62 years, female, NA, stage:III, dead, 616 days
181.3
DO46586
55 years, female, NA, stage:III, dead, 1019 days
169.5
DO46348
58 years, female, NA, stage:IV, dead, 287 days
162.1
DO46568
66 years, female, NA, stage:III, dead, 320 days
154.4
DO46390
65 years, female, NA, stage:III, dead, 374 days
141.0
DO46396
64 years, female, NA, stage:III, dead, 583 days
139.9
DO46448
45 years, female, NA, stage:III, dead, 654 days
138.2
DO46344
46 years, female, NA, stage:III, dead, 642 days
137.9
DO46591
58 years, female, NA, stage:III, dead, 195 days
136.7
DO46566
78 years, female, NA, stage:III, dead, 673 days
134.2
DO46576
75 years, female, NA, stage:III, alive, 133 days
124.9
DO46346
54 years, female, NA, stage:III, dead, 1187 days
123.9
DO46330
60 years, female, NA, stage:III, dead, 684 days
123.6
DO46362
61 years, female, NA, stage:III, dead, 1639 days
119.1
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
118.5
DO46382
62 years, female, NA, stage:IV, dead, 311 days
111.0
DO46334
77 years, female, NA, stage:III, dead, 496 days
105.2
DO46333
58 years, female, NA, stage:III, dead, 359 days
103.2
DO46376
58 years, female, NA, stage:III, dead, 1430 days
103.1
DO46528
56 years, female, NA, stage:III, alive, 6139 days
100.8
DO46364
45 years, female, NA, stage:III, dead, 806 days
98.3
DO46374
69 years, female, NA, stage:III, dead, 1409 days
97.5
DO46546
73 years, female, NA, stage:III, dead, 1889 days
95.8
DO46581
66 years, female, NA, stage:III, dead, 408 days
95.1
DO46350
66 years, female, NA, stage:III, dead, 886 days
93.0
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
92.7
DO46443
59 years, female, NA, stage:III, dead, 2464 days
91.1
DO46560
45 years, female, NA, stage:IV, dead, 286 days
88.2
DO46327
54 years, female, NA, stage:III, dead, 184 days
87.7
DO46463
49 years, female, NA, stage:III, dead, 2451 days
86.0
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
84.9
DO46571
61 years, female, NA, stage:III, dead, 243 days
83.7
DO46400
70 years, female, NA, stage:III, dead, 719 days
83.2
DO46331
72 years, female, NA, stage:III, dead, 612 days
81.8
DO46518
62 years, female, NA, stage:III, alive, 2960 days
81.3
DO46402
77 years, female, NA, stage:III, dead, 511 days
79.2
DO46453
66 years, female, NA, stage:III, dead, 3294 days
79.1
DO46388
74 years, female, NA, stage:III, dead, 413 days
78.6
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
77.8
DO46342
67 years, female, NA, stage:III, dead, 1398 days
77.0
DO46468
67 years, female, NA, stage:III, alive, 2776 days
76.5
DO46412
64 years, female, NA, stage:III, dead, 597 days
75.5
DO46493
62 years, female, NA, stage:IV, alive, 839 days
75.4
DO46597
60 years, female, NA, stage:III, dead, 393 days
72.6
DO46326
51 years, female, NA, stage:III, dead, 701 days
71.0
DO46508
50 years, female, NA, stage:III, dead, 2101 days
69.9
DO46602
74 years, female, NA, stage:III, dead, 205 days
68.8
DO46358
60 years, female, NA, stage:III, dead, 423 days
67.2
DO46370
54 years, female, NA, stage:III, dead, 1727 days
63.1
DO46336
70 years, female, NA, stage:IV, dead, 664 days
63.0
DO46611
52 years, female, NA, stage:III, dead, 734 days
59.6
DO46380
51 years, female, NA, stage:III, dead, 1423 days
56.5
DO46356
68 years, female, NA, stage:III, dead, 911 days
53.2
DO46551
58 years, female, NA, stage:III, dead, 1055 days
52.9
DO46398
66 years, female, NA, stage:III, alive, 437 days
50.5
DO46352
60 years, female, NA, stage:III, dead, 677 days
49.2
DO46368
57 years, female, NA, stage:III, dead, 2879 days
48.7
DO46378
59 years, female, NA, stage:III, alive, 843 days
47.6
DO46386
49 years, female, NA, stage:III, dead, 1162 days
45.9
DO46436
58 years, female, NA, stage:III, alive, 3193 days
45.6
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
45.4
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
44.7
DO46372
39 years, female, NA, stage:III, dead, 1326 days
43.6
DO46332
56 years, female, NA, stage:III, dead, 689 days
39.7
DO46392
48 years, female, NA, stage:III, dead, 628 days
39.3
DO46325
54 years, female, NA, stage:III, dead, 477 days
39.2
DO46533
46 years, female, NA, stage:III, alive, 3667 days
38.6
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
38.4
DO46561
52 years, female, NA, stage:III, dead, 195 days
37.7
DO46366
65 years, female, NA, stage:III, dead, 2054 days
35.7
DO46338
59 years, female, NA, stage:III, dead, 596 days
34.9
DO46408
56 years, female, NA, stage:III, dead, 489 days
34.7
DO46328
52 years, female, NA, stage:III, dead, 972 days
34.7
DO46588
74 years, female, NA, stage:III, dead, 438 days
32.4
DO46384
55 years, female, NA, stage:III, dead, 614 days
31.5
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OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
1.9
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
1.8
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
1.7
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
1.6
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
1.4
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
1.3
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
1.3
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
1.3
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
1.3
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
1.2
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
1.2
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
1.2
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
1.2
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
1.1
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
1.1
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
1.1
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
1.1
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
1.0
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
1.0
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
1.0
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
0.9
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
0.9
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
0.9
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
0.9
2f901c90-617e-46da-9fac-d68369_D2
Tumor
0.9
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
0.8
15524912-685a-47ce-a824-567848_D2
Tumor
0.8
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
0.8
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
0.8
21efd60f-6a31-4b98-9477-16a905_D2
Normal
0.8
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
0.8
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
0.8
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
0.8
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
0.8
1db5574d-aca7-403c-8100-6e705f_D2
Normal
0.8
340a3769-3031-41ae-bb08-a2f696_D2
Normal
0.8
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
0.7
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
0.7
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
0.7
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
0.7
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
0.7
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
0.7
285fed94-1495-448e-879b-b55de9_D2
Tumor
0.7
161317f3-1a39-438e-af45-cd2502_D2
Tumor
0.7
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
0.6
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
0.6
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
0.6
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
0.6
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
0.6
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
0.6
1772e913-f62e-446a-8cf3-720348_D2
Tumor
0.6
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
0.6
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
0.6
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
0.6
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
0.6
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
0.6
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
0.5
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
0.5
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
0.5
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
0.5
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
0.5
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
0.5
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
0.5
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
0.5
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
0.5
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
0.5
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
0.4
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
0.4
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
0.4
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
0.4
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
0.4
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
0.4
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
0.4
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
0.4
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
0.4
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
0.4
a65d8e76-640f-4341-a561-afbb57_D2
Normal
0.3
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
0.3
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
0.3
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
0.3
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
0.3
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
0.3
1a10c200-3895-4648-b951-94f99f_D2
Tumor
0.3
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
0.2
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
0.2
10c2d629-0287-4511-ac25-f29031_D2
Tumor
0.2
a3a26070-fb84-406a-8280-d555e6_D2
Normal
0.2
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
0.2
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
0.2
e9d416e7-f661-400a-896e-388545_D2
Tumor
0.2
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
0.2
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
0.2
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
0.2
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
0.2
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
0.2
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
0.2
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
0.2
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
0.1
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
0.1
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
0.1
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
0.1
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
0.0
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
0.0
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
-0.1
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
-0.1
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
-0.1
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
-0.1
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
-0.6
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OVARIAN CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
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
