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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.
RPS17 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
5148.5
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
16786.9
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
15541.0
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
14323.0
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
13786.6
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
13452.3
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
12545.7
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
12433.7
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
12123.2
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
12050.5
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
12009.6
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
11904.8
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
11867.6
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
11782.3
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
11722.2
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
11640.3
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
11339.2
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
11325.1
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
11247.4
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
11063.9
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
11042.5
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
10866.5
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
10490.7
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
10463.6
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
10435.5
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
10105.8
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
9985.5
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
9846.0
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
9556.0
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
9429.8
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
9406.9
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
9205.1
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
9168.0
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
9124.6
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
8846.9
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
8827.6
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
8767.9
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
8728.6
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
8480.6
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
8463.8
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
8331.4
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
8230.0
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
8187.4
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
8077.3
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
8049.1
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
8013.3
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
7989.4
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
7980.1
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
7976.1
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
7836.3
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
7800.4
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
7722.8
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
7670.8
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
7573.8
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
7557.7
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
7525.6
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
7452.5
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
7440.9
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
7403.6
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
7302.2
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
7287.7
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
7218.0
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
7197.7
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
7184.5
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
7174.0
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
7114.5
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
7088.9
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
7079.7
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
7023.6
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
6976.2
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
6926.3
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
6917.4
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
6911.5
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
6881.6
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
6859.7
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
6828.2
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
6783.3
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
6754.2
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
6745.2
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
6737.7
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
6719.1
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
6607.9
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
6575.2
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
6552.5
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
6552.2
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
6539.8
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
6536.2
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
6472.1
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
6436.6
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
6414.1
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
6404.5
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
6402.4
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
6363.8
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
6314.5
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
6249.2
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
6239.7
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
6208.5
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
6208.1
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
6199.2
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
6196.3
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
6160.6
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
6154.7
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
6135.1
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
6112.0
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
6095.0
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
6088.1
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
6023.8
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
5954.5
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
5953.1
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
5939.1
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
5934.5
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
5931.8
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
5876.0
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
5874.3
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
5819.3
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
5777.0
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
5770.3
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
5765.1
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
5759.0
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
5743.0
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
5713.2
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
5710.3
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
5703.5
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
5699.4
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
5679.5
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
5655.9
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
5638.0
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
5554.0
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
5543.4
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
5523.9
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
5522.6
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
5508.3
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
5461.7
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
5430.6
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
5422.7
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
5417.3
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
5413.1
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
5400.4
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
5390.9
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
5361.0
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
5263.3
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
5261.6
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
5261.0
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
5258.8
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
5235.2
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
5212.6
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
5171.5
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
5166.3
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
5156.4
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
5152.1
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
5115.6
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
5043.5
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
5019.6
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
4984.0
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
4935.1
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
4877.1
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
4835.4
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
4822.4
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
4808.0
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
4799.1
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
4780.9
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
4760.5
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
4749.8
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
4737.8
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
4737.1
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
4716.3
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
4700.5
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
4691.7
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
4685.2
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
4634.5
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
4620.3
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
4613.6
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
4552.7
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
4549.1
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
4544.4
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
4498.3
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
4464.8
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
4448.9
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
4428.4
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
4402.0
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
4384.4
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
4371.4
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
4365.2
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
4363.7
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
4342.1
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
4339.8
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
4325.3
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
4314.5
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
4241.6
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
4240.3
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
4239.7
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
4215.8
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
4161.6
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
4158.9
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
4139.5
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
4097.3
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
4088.6
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
4058.7
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
4029.1
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
4004.3
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
3998.2
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
3982.5
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
3959.3
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
3954.6
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
3943.0
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
3923.7
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
3920.1
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
3909.9
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
3908.9
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
3888.3
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
3840.7
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
3832.9
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
3824.8
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
3812.1
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
3795.1
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
3761.4
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
3758.9
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
3739.5
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
3733.1
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
3719.3
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
3686.3
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
3671.1
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
3670.1
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
3663.7
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
3655.6
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
3655.5
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
3634.7
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
3609.9
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
3556.8
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
3530.5
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
3489.9
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
3473.7
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
3461.7
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
3455.1
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
3448.5
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
3439.0
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
3436.6
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
3433.4
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
3431.7
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
3412.1
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
3411.0
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
3400.2
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
3392.5
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
3382.1
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
3376.9
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
3374.4
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
3346.5
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
3345.0
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
3343.8
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
3337.3
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
3322.7
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
3318.9
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
3315.2
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
3310.9
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
3236.4
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
3236.3
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
3233.5
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
3224.1
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
3203.9
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
3198.7
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
3190.7
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
3176.7
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
3172.0
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
3160.7
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
3156.9
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
3136.7
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
3129.7
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
3116.2
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
3057.6
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
3043.2
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
3036.2
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
3020.3
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
2988.0
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
2962.1
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
2948.3
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
2938.8
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
2905.4
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
2890.6
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
2881.6
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
2874.5
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
2872.2
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
2863.6
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
2862.6
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
2852.3
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
2832.4
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
2825.4
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
2782.5
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
2766.3
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
2751.9
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
2738.1
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
2721.9
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
2709.0
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
2697.2
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
2670.5
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
2658.8
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
2647.5
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
2642.5
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
2640.4
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
2625.2
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
2619.4
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
2615.1
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
2595.1
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
2589.4
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
2589.1
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
2581.1
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
2571.4
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
2517.5
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
2514.8
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
2505.5
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
2502.6
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
2490.6
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
2485.9
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
2472.6
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
2457.8
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
2423.4
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
2378.3
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
2307.3
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
2291.5
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
2287.6
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
2232.4
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
2231.0
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
2212.3
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
2187.0
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
2180.4
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
2176.2
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
2161.7
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
2154.3
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
2125.5
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
2070.1
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
2059.9
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
2059.2
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
2049.2
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
2030.7
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
2003.3
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
1981.0
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
1975.7
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
1958.4
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
1829.2
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
1821.7
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
1766.0
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
1687.4
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
1553.4
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
1549.5
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
1533.2
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
1532.4
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
1506.2
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
1455.4
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
1378.1
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
1187.2
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 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.
RPS17 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
2721.5
Number of samples
81
Samples
Sample
Description
pTPM
DO46384
55 years, female, NA, stage:III, dead, 614 days
9371.6
DO46518
62 years, female, NA, stage:III, alive, 2960 days
7169.9
DO46538
57 years, female, NA, stage:III, dead, 1527 days
6042.6
DO46356
68 years, female, NA, stage:III, dead, 911 days
5769.9
DO46561
52 years, female, NA, stage:III, dead, 195 days
5688.6
DO46372
39 years, female, NA, stage:III, dead, 1326 days
5610.3
DO46568
66 years, female, NA, stage:III, dead, 320 days
5123.8
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
4854.7
DO46404
55 years, female, NA, stage:III, dead, 690 days
4811.2
DO46338
59 years, female, NA, stage:III, dead, 596 days
4673.5
DO46388
74 years, female, NA, stage:III, dead, 413 days
4107.5
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
3996.6
DO46342
67 years, female, NA, stage:III, dead, 1398 days
3973.1
DO46390
65 years, female, NA, stage:III, dead, 374 days
3884.4
DO46386
49 years, female, NA, stage:III, dead, 1162 days
3865.6
DO46326
51 years, female, NA, stage:III, dead, 701 days
3720.2
DO46453
66 years, female, NA, stage:III, dead, 3294 days
3464.7
DO46581
66 years, female, NA, stage:III, dead, 408 days
3446.4
DO46533
46 years, female, NA, stage:III, alive, 3667 days
3383.7
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
3150.1
DO46331
72 years, female, NA, stage:III, dead, 612 days
3127.8
DO46364
45 years, female, NA, stage:III, dead, 806 days
3106.2
DO46463
49 years, female, NA, stage:III, dead, 2451 days
3045.1
DO46586
55 years, female, NA, stage:III, dead, 1019 days
3025.9
DO46366
65 years, female, NA, stage:III, dead, 2054 days
2975.5
DO46402
77 years, female, NA, stage:III, dead, 511 days
2926.4
DO46576
75 years, female, NA, stage:III, alive, 133 days
2925.1
DO46346
54 years, female, NA, stage:III, dead, 1187 days
2882.6
DO46566
78 years, female, NA, stage:III, dead, 673 days
2855.9
DO46352
60 years, female, NA, stage:III, dead, 677 days
2813.3
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
2782.0
DO46508
50 years, female, NA, stage:III, dead, 2101 days
2707.7
DO46443
59 years, female, NA, stage:III, dead, 2464 days
2664.5
DO46380
51 years, female, NA, stage:III, dead, 1423 days
2639.9
DO46330
60 years, female, NA, stage:III, dead, 684 days
2561.5
DO46546
73 years, female, NA, stage:III, dead, 1889 days
2540.5
DO46376
58 years, female, NA, stage:III, dead, 1430 days
2487.9
DO46333
58 years, female, NA, stage:III, dead, 359 days
2432.3
DO46328
52 years, female, NA, stage:III, dead, 972 days
2424.8
DO46493
62 years, female, NA, stage:IV, alive, 839 days
2379.3
DO46325
54 years, female, NA, stage:III, dead, 477 days
2355.4
DO46392
48 years, female, NA, stage:III, dead, 628 days
2334.8
DO46344
46 years, female, NA, stage:III, dead, 642 days
2291.7
DO46332
56 years, female, NA, stage:III, dead, 689 days
2241.5
DO46362
61 years, female, NA, stage:III, dead, 1639 days
2204.5
DO46354
73 years, female, NA, stage:III, dead, 843 days
2182.9
DO46334
77 years, female, NA, stage:III, dead, 496 days
2168.9
DO46597
60 years, female, NA, stage:III, dead, 393 days
2154.0
DO46412
64 years, female, NA, stage:III, dead, 597 days
2145.4
DO46448
45 years, female, NA, stage:III, dead, 654 days
2106.6
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
1993.3
DO46611
52 years, female, NA, stage:III, dead, 734 days
1936.5
DO46432
56 years, female, NA, stage:III, alive, 2218 days
1929.0
DO46591
58 years, female, NA, stage:III, dead, 195 days
1925.1
DO46602
74 years, female, NA, stage:III, dead, 205 days
1910.6
DO46606
73 years, female, NA, stage:III, alive, 804 days
1858.7
DO46336
70 years, female, NA, stage:IV, dead, 664 days
1848.5
DO46468
67 years, female, NA, stage:III, alive, 2776 days
1825.5
DO46368
57 years, female, NA, stage:III, dead, 2879 days
1787.1
DO46370
54 years, female, NA, stage:III, dead, 1727 days
1767.0
DO46551
58 years, female, NA, stage:III, dead, 1055 days
1684.6
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
1656.9
DO46340
62 years, female, NA, stage:III, dead, 616 days
1633.0
DO46400
70 years, female, NA, stage:III, dead, 719 days
1552.4
DO46560
45 years, female, NA, stage:IV, dead, 286 days
1538.8
DO46588
74 years, female, NA, stage:III, dead, 438 days
1535.2
DO46398
66 years, female, NA, stage:III, alive, 437 days
1517.5
DO46358
60 years, female, NA, stage:III, dead, 423 days
1502.8
DO46350
66 years, female, NA, stage:III, dead, 886 days
1446.3
DO46378
59 years, female, NA, stage:III, alive, 843 days
1426.0
DO46348
58 years, female, NA, stage:IV, dead, 287 days
1340.2
DO46528
56 years, female, NA, stage:III, alive, 6139 days
1333.2
DO46382
62 years, female, NA, stage:IV, dead, 311 days
1327.7
DO46408
56 years, female, NA, stage:III, dead, 489 days
1303.9
DO46396
64 years, female, NA, stage:III, dead, 583 days
1262.0
DO46436
58 years, female, NA, stage:III, alive, 3193 days
1242.3
DO46327
54 years, female, NA, stage:III, dead, 184 days
1145.1
DO46374
69 years, female, NA, stage:III, dead, 1409 days
1111.8
DO46571
61 years, female, NA, stage:III, dead, 243 days
1095.9
DO46329
52 years, female, NA, stage:III, dead, 1699 days
1029.5
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
382.3
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
1.2
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
1.0
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
1.0
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
0.9
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
0.9
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
0.9
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
0.8
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
0.8
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
0.7
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
0.7
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
0.6
e9d416e7-f661-400a-896e-388545_D2
Tumor
0.6
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
0.6
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
0.6
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
0.6
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
0.6
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
0.6
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
0.6
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
0.5
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
0.5
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
0.5
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
0.5
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
0.5
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
0.5
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
0.5
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
0.4
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
0.4
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
0.4
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
0.4
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
0.4
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
0.3
285fed94-1495-448e-879b-b55de9_D2
Tumor
0.3
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
0.3
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
0.3
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
0.3
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
0.3
161317f3-1a39-438e-af45-cd2502_D2
Tumor
0.3
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
0.3
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
0.3
15524912-685a-47ce-a824-567848_D2
Tumor
0.2
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
0.2
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
0.2
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
0.2
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
0.2
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
0.2
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
0.2
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
0.2
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
0.1
2f901c90-617e-46da-9fac-d68369_D2
Tumor
0.1
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
0.1
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
0.1
1772e913-f62e-446a-8cf3-720348_D2
Tumor
0.1
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
0.1
10c2d629-0287-4511-ac25-f29031_D2
Tumor
0.1
340a3769-3031-41ae-bb08-a2f696_D2
Normal
0.1
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
0.0
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
0.0
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
0.0
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
0.0
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
0.0
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
0.0
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
0.0
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
0.0
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
0.0
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
0.0
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
-0.1
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
-0.1
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
-0.1
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
-0.1
1a10c200-3895-4648-b951-94f99f_D2
Tumor
-0.1
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
-0.1
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
-0.2
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
-0.2
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
-0.2
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
-0.3
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
-0.3
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
-0.3
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
-0.3
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
-0.3
a3a26070-fb84-406a-8280-d555e6_D2
Normal
-0.4
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
-0.4
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
-0.4
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
-0.4
1db5574d-aca7-403c-8100-6e705f_D2
Normal
-0.4
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
-0.4
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
-0.5
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
-0.5
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
-0.5
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
-0.6
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
-0.6
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
-0.6
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
-0.6
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
-0.6
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
-0.6
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
-0.6
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
-0.7
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
-0.8
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
-0.8
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
-0.8
a65d8e76-640f-4341-a561-afbb57_D2
Normal
-0.8
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
-0.8
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
-0.8
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-0.9
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-1.0
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-1.0
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
-1.0
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
-1.0
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
-1.2
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
