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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.
TMSB4X is not prognostic in Ovary Serous Cystadenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
3197.6
Number of samples
349
Samples
Sample
Description
TPM
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
13066.0
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
12891.1
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
12302.0
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
10448.4
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
10050.2
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
9234.7
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
9068.1
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
8657.2
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
8531.9
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
8434.9
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
8377.3
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
7590.4
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
7516.8
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
7341.7
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
7172.7
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
6936.0
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
6602.1
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
6489.9
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
6465.9
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
6258.1
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
6223.8
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
6216.2
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
6185.5
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
6116.8
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
6115.9
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
6105.8
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
6054.8
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
6050.4
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
5865.5
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
5786.2
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
5681.5
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
5539.6
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
5528.7
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
5528.0
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
5487.2
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
5381.5
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
5374.8
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
5335.0
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
5267.7
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
5257.1
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
5203.2
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
5171.9
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
5109.6
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
5100.6
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
5038.4
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
5038.4
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
4999.3
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
4994.8
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
4969.7
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
4962.6
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
4923.9
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
4840.9
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
4805.9
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
4795.0
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
4791.6
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
4782.5
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
4689.7
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
4688.3
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
4681.6
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
4591.9
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
4559.1
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
4512.2
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
4502.6
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
4487.2
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
4384.4
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
4371.2
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
4370.7
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
4364.5
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
4338.2
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
4292.4
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
4274.9
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
4266.4
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
4220.9
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
4205.7
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
4205.2
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
4195.0
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
4188.4
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
4181.3
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
4142.3
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
4132.8
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
4115.3
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
4106.2
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
4089.6
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
4054.2
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
4039.5
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
4013.6
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
4003.8
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
3976.1
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
3975.1
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
3974.6
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
3973.6
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
3913.4
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
3910.3
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
3895.1
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
3893.8
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
3892.4
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
3834.1
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
3815.6
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
3808.9
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
3808.4
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
3806.6
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
3801.0
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
3798.8
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
3795.2
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
3787.7
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
3757.9
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
3749.1
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
3742.2
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
3734.0
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
3727.6
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
3712.7
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
3703.4
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
3673.2
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
3664.1
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
3624.3
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
3617.3
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
3595.6
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
3583.9
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
3576.0
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
3545.0
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
3513.3
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
3497.7
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
3466.6
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
3459.0
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
3445.8
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
3438.6
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
3369.5
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
3354.9
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
3312.9
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
3303.9
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
3258.0
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
3257.1
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
3230.9
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
3230.1
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
3210.6
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
3207.4
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
3165.9
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
3162.6
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
3162.5
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
3160.9
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
3152.0
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
3145.3
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
3143.1
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
3138.6
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
3103.1
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
3090.8
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
3090.3
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
3075.7
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
3075.6
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
3074.2
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
3059.3
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
3058.4
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
3057.4
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
3043.9
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
3035.8
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
3034.8
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
3028.5
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
3010.5
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
2996.4
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
2968.4
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
2959.2
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
2945.3
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
2930.4
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
2922.3
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
2916.6
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
2903.4
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
2892.8
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
2870.2
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
2866.8
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
2863.2
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
2853.5
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
2819.6
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
2806.1
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
2801.2
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
2796.4
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
2755.8
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
2755.5
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
2752.1
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
2726.1
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
2704.3
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
2689.5
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
2686.6
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
2681.6
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
2681.1
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
2624.6
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
2618.5
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
2599.6
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
2597.1
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
2573.5
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
2571.2
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
2566.7
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
2536.6
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
2526.9
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
2513.2
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
2492.0
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
2490.2
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
2473.8
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
2458.0
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
2445.5
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
2443.1
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
2433.5
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
2397.1
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
2383.5
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
2376.5
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
2359.0
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
2353.5
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
2351.9
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
2351.8
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
2350.1
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
2345.5
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
2333.2
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
2325.2
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
2319.6
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
2304.4
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
2303.3
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
2294.1
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
2261.8
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
2252.0
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
2246.9
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
2238.4
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
2213.9
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
2198.2
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
2191.5
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
2188.1
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
2186.4
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
2180.0
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
2173.7
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
2172.0
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
2164.0
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
2157.6
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
2147.8
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
2137.0
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
2121.7
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
2120.1
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
2119.7
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
2112.3
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
2102.7
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
2100.0
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
2079.0
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
2065.2
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
2058.5
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
2051.2
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
2050.9
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
2046.1
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
2039.8
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
2038.3
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
2037.3
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
2030.8
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
2022.3
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
2021.9
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
2014.0
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
2009.7
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
2002.5
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
1990.6
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
1978.9
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
1977.4
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
1972.4
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
1970.3
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
1956.8
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
1954.6
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
1945.5
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
1936.0
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
1907.6
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
1875.0
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
1860.0
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
1852.5
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
1834.8
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
1826.0
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
1802.3
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
1783.0
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
1772.7
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
1753.8
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
1742.7
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
1741.5
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
1738.4
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
1738.1
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
1736.0
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
1726.3
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
1701.6
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
1688.2
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
1686.8
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
1672.6
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
1670.3
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
1654.7
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
1650.0
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
1642.4
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
1642.1
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
1631.9
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
1630.0
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
1620.0
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
1617.3
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
1587.9
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
1581.0
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
1566.4
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
1554.3
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
1523.8
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
1508.1
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
1500.4
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
1476.2
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
1473.1
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
1468.0
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
1455.1
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
1439.5
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
1422.8
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
1415.5
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
1413.2
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
1396.5
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
1396.2
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
1393.3
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
1392.3
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
1388.0
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
1363.2
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
1349.7
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
1322.8
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
1311.0
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
1307.2
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
1285.6
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
1278.8
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
1273.1
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
1259.2
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
1259.0
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
1258.9
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
1254.5
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
1202.0
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
1188.3
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
1181.6
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
1176.1
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
1171.0
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
1170.5
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
1158.8
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
1146.6
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
1139.4
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
1130.8
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
1125.2
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
1124.4
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
1119.9
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
1109.0
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
1076.6
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
1036.1
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
956.8
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
952.9
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
912.2
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
898.5
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
818.4
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
741.1
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
687.8
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
593.1
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
389.4
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 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.
TMSB4X is not prognostic in Ovary Serous Cystadenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
3929.4
Number of samples
81
Samples
Sample
Description
TPM
DO46388
74 years, female, NA, stage:III, dead, 413 days
10709.2
DO46581
66 years, female, NA, stage:III, dead, 408 days
7861.3
DO46380
51 years, female, NA, stage:III, dead, 1423 days
7561.8
DO46432
56 years, female, NA, stage:III, alive, 2218 days
7432.8
DO46528
56 years, female, NA, stage:III, alive, 6139 days
7184.2
DO46551
58 years, female, NA, stage:III, dead, 1055 days
6822.4
DO46342
67 years, female, NA, stage:III, dead, 1398 days
6449.6
DO46571
61 years, female, NA, stage:III, dead, 243 days
6271.7
DO46453
66 years, female, NA, stage:III, dead, 3294 days
6248.2
DO46566
78 years, female, NA, stage:III, dead, 673 days
6213.2
DO46372
39 years, female, NA, stage:III, dead, 1326 days
6123.9
DO46336
70 years, female, NA, stage:IV, dead, 664 days
5991.2
DO46327
54 years, female, NA, stage:III, dead, 184 days
5954.3
DO46376
58 years, female, NA, stage:III, dead, 1430 days
5899.7
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
5682.4
DO46576
75 years, female, NA, stage:III, alive, 133 days
5655.8
DO46346
54 years, female, NA, stage:III, dead, 1187 days
5527.1
DO46329
52 years, female, NA, stage:III, dead, 1699 days
5386.5
DO46340
62 years, female, NA, stage:III, dead, 616 days
5233.6
DO46350
66 years, female, NA, stage:III, dead, 886 days
5201.6
DO46602
74 years, female, NA, stage:III, dead, 205 days
5074.0
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
4961.1
DO46392
48 years, female, NA, stage:III, dead, 628 days
4922.4
DO46386
49 years, female, NA, stage:III, dead, 1162 days
4877.1
DO46333
58 years, female, NA, stage:III, dead, 359 days
4865.0
DO46591
58 years, female, NA, stage:III, dead, 195 days
4837.5
DO46560
45 years, female, NA, stage:IV, dead, 286 days
4834.4
DO46368
57 years, female, NA, stage:III, dead, 2879 days
4786.0
DO46330
60 years, female, NA, stage:III, dead, 684 days
4696.6
DO46606
73 years, female, NA, stage:III, alive, 804 days
4560.5
DO46508
50 years, female, NA, stage:III, dead, 2101 days
4467.8
DO46354
73 years, female, NA, stage:III, dead, 843 days
4346.7
DO46352
60 years, female, NA, stage:III, dead, 677 days
4261.0
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
4139.1
DO46348
58 years, female, NA, stage:IV, dead, 287 days
4113.0
DO46332
56 years, female, NA, stage:III, dead, 689 days
4107.9
DO46586
55 years, female, NA, stage:III, dead, 1019 days
3984.7
DO46378
59 years, female, NA, stage:III, alive, 843 days
3944.4
DO46364
45 years, female, NA, stage:III, dead, 806 days
3851.0
DO46443
59 years, female, NA, stage:III, dead, 2464 days
3805.3
DO46334
77 years, female, NA, stage:III, dead, 496 days
3805.2
DO46468
67 years, female, NA, stage:III, alive, 2776 days
3792.1
DO46366
65 years, female, NA, stage:III, dead, 2054 days
3786.8
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
3773.8
DO46358
60 years, female, NA, stage:III, dead, 423 days
3648.8
DO46533
46 years, female, NA, stage:III, alive, 3667 days
3502.3
DO46448
45 years, female, NA, stage:III, dead, 654 days
3404.4
DO46382
62 years, female, NA, stage:IV, dead, 311 days
3301.3
DO46374
69 years, female, NA, stage:III, dead, 1409 days
3235.5
DO46325
54 years, female, NA, stage:III, dead, 477 days
3189.1
DO46344
46 years, female, NA, stage:III, dead, 642 days
3160.6
DO46396
64 years, female, NA, stage:III, dead, 583 days
2970.1
DO46568
66 years, female, NA, stage:III, dead, 320 days
2838.0
DO46390
65 years, female, NA, stage:III, dead, 374 days
2803.5
DO46328
52 years, female, NA, stage:III, dead, 972 days
2714.1
DO46412
64 years, female, NA, stage:III, dead, 597 days
2691.2
DO46493
62 years, female, NA, stage:IV, alive, 839 days
2689.3
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
2511.8
DO46588
74 years, female, NA, stage:III, dead, 438 days
2500.2
DO46398
66 years, female, NA, stage:III, alive, 437 days
2424.2
DO46436
58 years, female, NA, stage:III, alive, 3193 days
2286.5
DO46546
73 years, female, NA, stage:III, dead, 1889 days
2282.7
DO46561
52 years, female, NA, stage:III, dead, 195 days
2177.2
DO46611
52 years, female, NA, stage:III, dead, 734 days
2161.1
DO46404
55 years, female, NA, stage:III, dead, 690 days
2130.9
DO46408
56 years, female, NA, stage:III, dead, 489 days
2110.7
DO46370
54 years, female, NA, stage:III, dead, 1727 days
1985.4
DO46518
62 years, female, NA, stage:III, alive, 2960 days
1963.5
DO46463
49 years, female, NA, stage:III, dead, 2451 days
1954.3
DO46326
51 years, female, NA, stage:III, dead, 701 days
1885.8
DO46597
60 years, female, NA, stage:III, dead, 393 days
1799.8
DO46356
68 years, female, NA, stage:III, dead, 911 days
1712.3
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
1688.0
DO46384
55 years, female, NA, stage:III, dead, 614 days
1670.5
DO46331
72 years, female, NA, stage:III, dead, 612 days
1639.2
DO46400
70 years, female, NA, stage:III, dead, 719 days
1559.5
DO46402
77 years, female, NA, stage:III, dead, 511 days
1366.3
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
1317.3
DO46362
61 years, female, NA, stage:III, dead, 1639 days
1176.3
DO46338
59 years, female, NA, stage:III, dead, 596 days
1151.4
DO46538
57 years, female, NA, stage:III, dead, 1527 days
680.3
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
0.2
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
0.1
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
0.1
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
-0.1
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
-0.1
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
-0.1
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
-0.2
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
-0.4
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
-0.4
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
-0.4
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
-0.4
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
-0.4
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
-0.5
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
-0.5
2f901c90-617e-46da-9fac-d68369_D2
Tumor
-0.5
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
-0.5
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
-0.5
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
-0.5
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
-0.5
161317f3-1a39-438e-af45-cd2502_D2
Tumor
-0.6
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
-0.6
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
-0.6
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
-0.7
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
-0.7
285fed94-1495-448e-879b-b55de9_D2
Tumor
-0.7
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
-0.7
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
-0.7
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
-0.7
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
-0.7
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
-0.8
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
-0.8
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
-0.9
340a3769-3031-41ae-bb08-a2f696_D2
Normal
-0.9
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
-0.9
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
-0.9
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
-1.0
a3a26070-fb84-406a-8280-d555e6_D2
Normal
-1.0
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
-1.0
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
-1.0
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
-1.1
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
-1.1
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
-1.1
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
-1.1
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
-1.1
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
-1.1
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
-1.2
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
-1.2
15524912-685a-47ce-a824-567848_D2
Tumor
-1.2
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
-1.2
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
-1.3
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
-1.3
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
-1.3
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
-1.3
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
-1.3
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
-1.3
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-1.3
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
-1.3
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
-1.3
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
-1.3
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
-1.4
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
-1.4
10c2d629-0287-4511-ac25-f29031_D2
Tumor
-1.4
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
-1.4
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-1.4
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
-1.4
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
-1.5
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
-1.5
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
-1.5
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
-1.6
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
-1.6
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
-1.6
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
-1.6
1a10c200-3895-4648-b951-94f99f_D2
Tumor
-1.7
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
-1.7
e9d416e7-f661-400a-896e-388545_D2
Tumor
-1.7
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
-1.7
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-1.7
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
-1.7
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
-1.7
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
-1.7
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
-1.7
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
-1.8
1772e913-f62e-446a-8cf3-720348_D2
Tumor
-1.8
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
-1.8
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
-1.8
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
-1.9
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
-1.9
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
-1.9
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
-2.0
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
-2.0
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
-2.0
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
-2.1
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
-2.1
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
-2.1
1db5574d-aca7-403c-8100-6e705f_D2
Normal
-2.1
a65d8e76-640f-4341-a561-afbb57_D2
Normal
-2.1
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
-2.1
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
-2.1
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
-2.2
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
-2.2
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
-2.2
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
-2.3
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
-2.3
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
-2.4
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
-2.4
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
-2.7
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
-2.8
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
-2.9
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
