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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.
RPS24 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
3311.5
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
11075.2
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
9847.4
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
8776.2
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
8406.3
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
8325.4
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
8206.3
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
7987.8
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
7527.8
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
7516.1
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
7496.6
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
7349.8
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
7314.6
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
7214.5
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
7010.8
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
6951.3
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
6786.1
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
6735.0
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
6703.5
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
6647.5
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
6556.2
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
6504.6
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
6295.0
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
6242.3
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
6229.2
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
6126.4
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
6024.0
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
6009.4
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
5968.3
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
5898.9
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
5897.2
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
5850.7
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
5803.7
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
5707.1
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
5671.4
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
5656.5
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
5633.3
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
5627.4
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
5469.8
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
5463.7
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
5458.2
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
5453.8
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
5413.7
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
5380.6
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
5366.7
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
5354.0
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
5353.1
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
5347.9
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
5277.4
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
5271.2
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
5231.2
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
5153.5
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
5125.6
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
5085.0
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
5065.8
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
5063.5
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
5001.6
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
4818.9
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
4800.6
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
4788.7
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
4719.0
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
4664.6
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
4631.2
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
4616.7
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
4608.0
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
4597.5
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
4515.3
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
4468.6
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
4452.2
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
4446.1
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
4372.9
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
4342.7
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
4286.5
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
4269.5
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
4213.3
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
4205.5
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
4196.7
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
4180.6
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
4154.2
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
4124.8
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
4108.2
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
4091.6
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
4087.1
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
4051.1
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
4038.6
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
4021.6
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
4006.4
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
3990.4
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
3980.5
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
3940.4
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
3931.6
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
3906.7
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
3898.8
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
3897.0
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
3895.3
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
3877.0
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
3870.4
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
3856.5
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
3846.8
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
3824.8
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
3819.4
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
3810.5
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
3806.1
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
3785.3
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
3778.8
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
3762.5
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
3751.0
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
3729.6
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
3723.1
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
3693.3
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
3668.1
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
3649.4
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
3630.0
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
3620.2
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
3613.7
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
3608.9
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
3592.3
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
3574.4
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
3574.0
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
3540.8
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
3539.9
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
3533.9
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
3525.7
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
3496.7
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
3472.8
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
3459.3
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
3445.5
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
3430.4
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
3384.8
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
3380.9
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
3373.0
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
3366.8
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
3324.5
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
3314.4
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
3307.2
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
3303.2
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
3301.2
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
3291.1
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
3268.3
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
3237.2
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
3223.7
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
3216.0
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
3197.0
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
3190.2
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
3182.3
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
3168.9
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
3163.1
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
3153.1
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
3148.7
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
3135.2
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
3122.1
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
3118.1
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
3117.3
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
3114.8
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
3110.2
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
3109.5
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
3100.0
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
3097.2
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
3090.3
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
3083.5
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
3051.9
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
3043.0
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
3034.0
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
3031.8
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
3031.6
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
3030.9
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
3015.1
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
3000.4
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
2987.1
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
2983.2
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
2975.9
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
2974.7
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
2952.6
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
2931.3
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
2924.9
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
2922.4
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
2919.3
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
2909.4
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
2907.4
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
2891.6
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
2883.8
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
2860.8
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
2838.9
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
2824.3
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
2808.4
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
2804.2
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
2789.7
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
2787.5
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
2776.6
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
2765.2
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
2760.1
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
2760.0
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
2749.1
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
2744.2
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
2727.4
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
2719.2
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
2718.3
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
2699.5
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
2693.1
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
2688.2
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
2683.1
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
2673.9
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
2673.5
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
2665.7
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
2665.6
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
2665.3
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
2639.0
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
2625.1
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
2623.1
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
2622.9
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
2595.3
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
2593.0
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
2592.6
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
2590.1
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
2577.9
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
2574.7
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
2574.0
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
2565.8
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
2554.2
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
2543.5
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
2535.5
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
2524.6
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
2520.5
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
2514.3
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
2511.9
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
2509.5
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
2502.8
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
2484.7
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
2483.5
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
2473.3
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
2464.9
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
2464.0
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
2408.1
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
2408.1
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
2402.3
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
2391.5
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
2391.3
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
2383.6
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
2375.2
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
2370.9
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
2355.4
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
2331.3
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
2330.4
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
2319.5
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
2289.6
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
2288.2
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
2278.1
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
2276.9
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
2273.0
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
2263.2
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
2256.1
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
2253.9
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
2252.5
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
2245.2
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
2241.8
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
2238.1
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
2236.8
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
2231.0
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
2199.4
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
2186.1
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
2182.9
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
2175.0
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
2174.2
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
2170.3
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
2155.2
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
2151.2
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
2150.8
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
2149.6
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
2140.7
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
2132.4
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
2129.4
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
2119.6
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
2111.6
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
2111.3
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
2090.7
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
2080.2
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
2071.9
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
2071.2
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
2059.0
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
2045.2
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
2045.2
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
2036.9
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
2027.2
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
2016.9
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
2006.5
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
1983.9
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
1973.9
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
1973.5
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
1969.4
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
1926.2
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
1905.3
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
1904.9
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
1862.2
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
1856.1
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
1847.4
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
1839.8
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
1836.8
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
1836.7
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
1824.1
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
1819.6
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
1818.4
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
1817.1
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
1811.6
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
1808.9
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
1787.8
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
1777.9
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
1764.3
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
1762.0
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
1756.7
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
1742.9
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
1730.0
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
1718.5
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
1694.9
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
1691.5
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
1649.5
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
1622.7
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
1576.5
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
1575.4
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
1570.1
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
1531.8
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
1495.2
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
1469.7
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
1454.7
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
1437.0
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
1415.0
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
1399.1
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
1396.0
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
1393.5
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
1387.0
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
1375.2
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
1362.3
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
1360.7
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
1349.0
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
1340.8
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
1330.4
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
1315.6
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
1315.5
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
1184.3
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
1181.0
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
1166.6
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
1085.7
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
1070.2
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
1066.1
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
1040.0
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
1035.5
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
1029.6
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
1011.9
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
974.2
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
871.0
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 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.
RPS24 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
4991.6
Number of samples
81
Samples
Sample
Description
pTPM
DO46390
65 years, female, NA, stage:III, dead, 374 days
13782.0
DO46453
66 years, female, NA, stage:III, dead, 3294 days
12696.5
DO46356
68 years, female, NA, stage:III, dead, 911 days
10899.8
DO46568
66 years, female, NA, stage:III, dead, 320 days
10537.9
DO46566
78 years, female, NA, stage:III, dead, 673 days
10230.0
DO46333
58 years, female, NA, stage:III, dead, 359 days
9562.9
DO46384
55 years, female, NA, stage:III, dead, 614 days
8977.1
DO46611
52 years, female, NA, stage:III, dead, 734 days
7774.8
DO46392
48 years, female, NA, stage:III, dead, 628 days
7650.1
DO46561
52 years, female, NA, stage:III, dead, 195 days
7482.0
DO46463
49 years, female, NA, stage:III, dead, 2451 days
7389.8
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
7323.7
DO46402
77 years, female, NA, stage:III, dead, 511 days
7296.4
DO46404
55 years, female, NA, stage:III, dead, 690 days
7161.0
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
6760.3
DO46331
72 years, female, NA, stage:III, dead, 612 days
6705.1
DO46576
75 years, female, NA, stage:III, alive, 133 days
6704.3
DO46338
59 years, female, NA, stage:III, dead, 596 days
6671.0
DO46591
58 years, female, NA, stage:III, dead, 195 days
6639.0
DO46334
77 years, female, NA, stage:III, dead, 496 days
6094.1
DO46597
60 years, female, NA, stage:III, dead, 393 days
5864.5
DO46571
61 years, female, NA, stage:III, dead, 243 days
5810.3
DO46364
45 years, female, NA, stage:III, dead, 806 days
5723.2
DO46328
52 years, female, NA, stage:III, dead, 972 days
5673.9
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
5604.7
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
5487.6
DO46330
60 years, female, NA, stage:III, dead, 684 days
5368.9
DO46380
51 years, female, NA, stage:III, dead, 1423 days
5350.1
DO46370
54 years, female, NA, stage:III, dead, 1727 days
5333.5
DO46332
56 years, female, NA, stage:III, dead, 689 days
5231.4
DO46588
74 years, female, NA, stage:III, dead, 438 days
5187.2
DO46508
50 years, female, NA, stage:III, dead, 2101 days
5179.2
DO46518
62 years, female, NA, stage:III, alive, 2960 days
5128.2
DO46581
66 years, female, NA, stage:III, dead, 408 days
5040.8
DO46326
51 years, female, NA, stage:III, dead, 701 days
5029.1
DO46528
56 years, female, NA, stage:III, alive, 6139 days
4996.3
DO46586
55 years, female, NA, stage:III, dead, 1019 days
4906.6
DO46342
67 years, female, NA, stage:III, dead, 1398 days
4833.6
DO46362
61 years, female, NA, stage:III, dead, 1639 days
4695.5
DO46376
58 years, female, NA, stage:III, dead, 1430 days
4639.9
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
4614.8
DO46366
65 years, female, NA, stage:III, dead, 2054 days
4595.8
DO46493
62 years, female, NA, stage:IV, alive, 839 days
4585.1
DO46560
45 years, female, NA, stage:IV, dead, 286 days
4442.3
DO46346
54 years, female, NA, stage:III, dead, 1187 days
4361.5
DO46432
56 years, female, NA, stage:III, alive, 2218 days
4275.7
DO46412
64 years, female, NA, stage:III, dead, 597 days
4250.0
DO46443
59 years, female, NA, stage:III, dead, 2464 days
4245.3
DO46386
49 years, female, NA, stage:III, dead, 1162 days
4015.1
DO46551
58 years, female, NA, stage:III, dead, 1055 days
3878.4
DO46388
74 years, female, NA, stage:III, dead, 413 days
3870.9
DO46354
73 years, female, NA, stage:III, dead, 843 days
3863.5
DO46368
57 years, female, NA, stage:III, dead, 2879 days
3691.5
DO46372
39 years, female, NA, stage:III, dead, 1326 days
3683.2
DO46352
60 years, female, NA, stage:III, dead, 677 days
3681.8
DO46325
54 years, female, NA, stage:III, dead, 477 days
3646.9
DO46378
59 years, female, NA, stage:III, alive, 843 days
3565.0
DO46538
57 years, female, NA, stage:III, dead, 1527 days
3550.2
DO46533
46 years, female, NA, stage:III, alive, 3667 days
3438.3
DO46358
60 years, female, NA, stage:III, dead, 423 days
3355.0
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
3264.9
DO46336
70 years, female, NA, stage:IV, dead, 664 days
3057.1
DO46382
62 years, female, NA, stage:IV, dead, 311 days
3014.1
DO46408
56 years, female, NA, stage:III, dead, 489 days
3006.5
DO46606
73 years, female, NA, stage:III, alive, 804 days
2981.7
DO46436
58 years, female, NA, stage:III, alive, 3193 days
2973.5
DO46602
74 years, female, NA, stage:III, dead, 205 days
2804.4
DO46344
46 years, female, NA, stage:III, dead, 642 days
2787.6
DO46340
62 years, female, NA, stage:III, dead, 616 days
2648.6
DO46400
70 years, female, NA, stage:III, dead, 719 days
2632.6
DO46546
73 years, female, NA, stage:III, dead, 1889 days
2542.9
DO46348
58 years, female, NA, stage:IV, dead, 287 days
2428.7
DO46396
64 years, female, NA, stage:III, dead, 583 days
2312.6
DO46327
54 years, female, NA, stage:III, dead, 184 days
2279.8
DO46374
69 years, female, NA, stage:III, dead, 1409 days
2255.1
DO46398
66 years, female, NA, stage:III, alive, 437 days
2204.7
DO46350
66 years, female, NA, stage:III, dead, 886 days
2003.7
DO46468
67 years, female, NA, stage:III, alive, 2776 days
1741.4
DO46448
45 years, female, NA, stage:III, dead, 654 days
1686.5
DO46329
52 years, female, NA, stage:III, dead, 1699 days
1574.1
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
1088.0
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
0.7
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
0.7
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
0.6
1db5574d-aca7-403c-8100-6e705f_D2
Normal
0.6
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
0.4
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
0.4
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
0.4
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
0.3
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
0.3
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
0.3
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
0.3
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
0.3
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
0.3
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
0.2
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
0.2
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
0.2
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
0.2
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
0.2
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
0.2
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
0.1
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
0.1
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
0.1
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
0.1
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
0.0
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
0.0
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
0.0
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
0.0
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
0.0
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
0.0
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
0.0
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
0.0
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
0.0
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
-0.1
e9d416e7-f661-400a-896e-388545_D2
Tumor
-0.1
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
-0.1
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
-0.1
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
-0.1
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
-0.1
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
-0.1
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
-0.1
10c2d629-0287-4511-ac25-f29031_D2
Tumor
-0.1
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
-0.1
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
-0.1
1772e913-f62e-446a-8cf3-720348_D2
Tumor
-0.1
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
-0.1
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
-0.1
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
-0.2
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
-0.2
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
-0.2
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
-0.2
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
-0.2
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
-0.2
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
-0.2
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
-0.2
285fed94-1495-448e-879b-b55de9_D2
Tumor
-0.2
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
-0.2
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
-0.2
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
-0.2
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
-0.2
a3a26070-fb84-406a-8280-d555e6_D2
Normal
-0.2
161317f3-1a39-438e-af45-cd2502_D2
Tumor
-0.3
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
-0.3
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
-0.3
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
-0.3
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
-0.3
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
-0.3
15524912-685a-47ce-a824-567848_D2
Tumor
-0.3
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
-0.3
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
-0.3
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-0.3
2f901c90-617e-46da-9fac-d68369_D2
Tumor
-0.4
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
-0.4
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
-0.4
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
-0.4
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
-0.5
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
-0.5
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
-0.5
340a3769-3031-41ae-bb08-a2f696_D2
Normal
-0.5
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
-0.6
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
-0.6
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
-0.6
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
-0.7
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-0.7
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
-0.7
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
-0.7
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
-0.7
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
-0.8
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
-0.8
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
-0.8
a65d8e76-640f-4341-a561-afbb57_D2
Normal
-0.8
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
-0.8
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
-0.8
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
-0.9
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
-0.9
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
-0.9
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
-0.9
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
-0.9
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
-1.0
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
-1.0
1a10c200-3895-4648-b951-94f99f_D2
Tumor
-1.0
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
-1.0
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
-1.1
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
-1.2
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
-1.2
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
-1.2
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
-1.3
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
-1.3
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
-1.3
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
