We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
RPS29 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
4578.6
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
15887.5
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
15462.2
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
14054.0
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
13353.3
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
13314.2
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
13087.0
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
12482.0
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
12351.9
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
10747.5
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
10463.9
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
10460.7
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
10445.3
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
10064.1
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
9997.4
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
9857.7
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
9687.2
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
9621.4
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
9419.1
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
9322.1
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
9252.8
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
9103.6
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
9053.2
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
8701.6
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
8621.3
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
8574.0
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
8505.8
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
8445.6
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
8354.7
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
8337.7
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
8243.5
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
8108.1
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
8064.2
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
7855.6
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
7710.2
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
7680.5
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
7663.6
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
7649.4
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
7593.9
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
7524.4
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
7457.1
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
7314.9
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
7311.4
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
7258.8
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
7246.0
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
7136.1
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
7123.0
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
7106.4
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
7100.5
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
7092.0
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
7019.2
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
7001.1
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
6988.0
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
6945.6
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
6922.2
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
6899.7
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
6792.6
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
6722.9
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
6696.6
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
6661.9
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
6645.8
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
6517.0
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
6516.3
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
6385.0
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
6375.9
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
6282.8
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
6246.9
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
6131.8
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
6074.7
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
6042.4
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
6029.2
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
6023.4
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
6006.2
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
6000.7
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
5974.4
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
5956.1
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
5927.4
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
5872.6
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
5859.5
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
5849.3
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
5821.6
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
5807.4
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
5769.9
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
5754.9
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
5703.3
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
5700.9
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
5671.8
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
5661.7
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
5646.6
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
5521.7
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
5502.6
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
5462.8
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
5437.3
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
5373.7
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
5355.0
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
5348.5
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
5337.2
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
5321.5
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
5313.6
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
5304.2
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
5289.0
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
5285.1
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
5203.0
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
5149.3
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
5136.9
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
5132.0
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
5106.5
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
5090.8
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
5073.3
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
5064.5
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
5056.8
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
5050.9
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
5035.4
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
5034.6
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
4995.9
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
4964.7
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
4963.6
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
4944.9
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
4931.8
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
4901.6
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
4859.6
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
4845.2
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
4840.6
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
4832.4
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
4829.7
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
4829.4
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
4825.5
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
4824.4
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
4795.2
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
4792.1
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
4787.9
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
4769.1
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
4749.1
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
4740.7
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
4707.3
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
4686.6
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
4667.7
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
4655.5
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
4593.8
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
4581.3
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
4526.4
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
4525.5
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
4507.0
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
4498.0
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
4497.0
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
4479.2
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
4472.2
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
4449.7
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
4434.2
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
4349.6
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
4349.1
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
4314.3
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
4252.6
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
4251.5
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
4246.8
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
4235.1
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
4214.9
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
4207.9
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
4191.7
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
4176.9
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
4159.6
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
4154.1
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
4124.4
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
4115.4
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
4076.4
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
4069.6
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
4044.6
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
4040.1
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
4036.0
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
4032.9
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
4030.9
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
4025.2
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
4021.5
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
4017.8
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
4012.4
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
4004.5
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
3995.3
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
3985.5
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
3965.3
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
3958.9
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
3958.5
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
3923.5
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
3913.0
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
3892.9
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
3886.9
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
3856.7
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
3853.4
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
3814.5
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
3810.9
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
3794.8
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
3787.9
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
3760.3
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
3753.8
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
3701.2
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
3697.4
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
3664.9
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
3663.4
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
3658.3
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
3653.8
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
3632.6
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
3624.3
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
3539.0
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
3530.9
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
3494.2
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
3492.8
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
3462.1
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
3450.5
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
3447.1
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
3389.8
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
3367.7
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
3345.6
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
3340.5
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
3314.2
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
3300.3
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
3297.5
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
3296.5
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
3295.2
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
3292.2
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
3271.1
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
3271.0
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
3267.3
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
3238.6
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
3237.1
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
3232.6
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
3197.1
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
3176.2
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
3160.4
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
3154.7
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
3152.3
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
3127.8
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
3123.6
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
3122.4
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
3116.6
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
3081.6
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
3078.9
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
3054.0
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
3052.7
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
3038.3
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
3027.1
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
3025.9
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
3025.0
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
3018.0
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
3016.5
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
3014.2
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
2989.3
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
2972.0
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
2967.9
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
2939.5
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
2938.2
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
2916.5
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
2910.5
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
2904.1
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
2886.8
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
2877.4
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
2851.8
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
2848.4
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
2844.3
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
2840.5
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
2839.6
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
2827.1
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
2822.8
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
2820.2
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
2817.3
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
2810.1
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
2797.0
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
2790.8
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
2782.4
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
2775.9
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
2774.0
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
2773.4
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
2738.8
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
2726.2
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
2725.1
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
2720.4
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
2716.0
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
2711.5
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
2710.5
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
2709.2
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
2707.9
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
2699.1
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
2691.0
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
2666.7
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
2665.3
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
2661.9
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
2661.7
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
2644.2
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
2638.5
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
2618.6
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
2608.2
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
2606.5
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
2594.1
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
2585.2
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
2577.2
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
2568.9
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
2564.9
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
2550.7
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
2514.8
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
2506.4
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
2497.5
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
2493.6
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
2468.1
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
2451.2
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
2449.0
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
2447.2
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
2440.5
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
2420.5
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
2415.6
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
2401.0
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
2392.9
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
2381.5
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
2379.8
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
2333.0
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
2323.6
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
2322.1
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
2294.6
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
2288.8
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
2277.8
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
2276.7
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
2234.4
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
2225.4
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
2202.6
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
2190.8
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
2185.2
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
2139.6
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
2098.1
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
2086.3
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
2063.2
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
2055.2
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
2033.4
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
1991.3
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
1984.7
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
1979.5
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
1961.6
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
1943.3
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
1930.3
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
1923.7
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
1921.7
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
1863.8
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
1848.9
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
1727.2
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
1686.7
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
1677.7
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
1676.4
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
1655.2
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
1655.2
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
1528.3
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
1386.0
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
1377.5
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
1171.3
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 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.
RPS29 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
3166.3
Number of samples
81
Samples
Sample
Description
pTPM
DO46333
58 years, female, NA, stage:III, dead, 359 days
7424.0
DO46568
66 years, female, NA, stage:III, dead, 320 days
7303.3
DO46390
65 years, female, NA, stage:III, dead, 374 days
7211.2
DO46384
55 years, female, NA, stage:III, dead, 614 days
6219.6
DO46576
75 years, female, NA, stage:III, alive, 133 days
6188.3
DO46338
59 years, female, NA, stage:III, dead, 596 days
5943.2
DO46561
52 years, female, NA, stage:III, dead, 195 days
5722.7
DO46356
68 years, female, NA, stage:III, dead, 911 days
5675.0
DO46586
55 years, female, NA, stage:III, dead, 1019 days
5562.4
DO46378
59 years, female, NA, stage:III, alive, 843 days
4821.2
DO46366
65 years, female, NA, stage:III, dead, 2054 days
4805.6
DO46591
58 years, female, NA, stage:III, dead, 195 days
4632.4
DO46342
67 years, female, NA, stage:III, dead, 1398 days
4547.4
DO46566
78 years, female, NA, stage:III, dead, 673 days
4425.3
DO46581
66 years, female, NA, stage:III, dead, 408 days
4336.6
DO46463
49 years, female, NA, stage:III, dead, 2451 days
3999.2
DO46528
56 years, female, NA, stage:III, alive, 6139 days
3904.1
DO46326
51 years, female, NA, stage:III, dead, 701 days
3742.8
DO46533
46 years, female, NA, stage:III, alive, 3667 days
3735.6
DO46334
77 years, female, NA, stage:III, dead, 496 days
3627.7
DO46380
51 years, female, NA, stage:III, dead, 1423 days
3587.6
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
3560.4
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
3558.4
DO46392
48 years, female, NA, stage:III, dead, 628 days
3496.9
DO46346
54 years, female, NA, stage:III, dead, 1187 days
3486.9
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
3475.8
DO46386
49 years, female, NA, stage:III, dead, 1162 days
3388.3
DO46350
66 years, female, NA, stage:III, dead, 886 days
3375.1
DO46508
50 years, female, NA, stage:III, dead, 2101 days
3333.6
DO46588
74 years, female, NA, stage:III, dead, 438 days
3313.7
DO46329
52 years, female, NA, stage:III, dead, 1699 days
3203.8
DO46358
60 years, female, NA, stage:III, dead, 423 days
3191.7
DO46402
77 years, female, NA, stage:III, dead, 511 days
3153.7
DO46443
59 years, female, NA, stage:III, dead, 2464 days
3077.8
DO46611
52 years, female, NA, stage:III, dead, 734 days
3044.4
DO46408
56 years, female, NA, stage:III, dead, 489 days
3008.3
DO46370
54 years, female, NA, stage:III, dead, 1727 days
3003.5
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
2972.6
DO46376
58 years, female, NA, stage:III, dead, 1430 days
2969.7
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
2914.1
DO46493
62 years, female, NA, stage:IV, alive, 839 days
2884.9
DO46348
58 years, female, NA, stage:IV, dead, 287 days
2857.1
DO46453
66 years, female, NA, stage:III, dead, 3294 days
2851.6
DO46602
74 years, female, NA, stage:III, dead, 205 days
2791.0
DO46518
62 years, female, NA, stage:III, alive, 2960 days
2694.9
DO46398
66 years, female, NA, stage:III, alive, 437 days
2691.8
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
2681.6
DO46448
45 years, female, NA, stage:III, dead, 654 days
2648.5
DO46362
61 years, female, NA, stage:III, dead, 1639 days
2640.7
DO46352
60 years, female, NA, stage:III, dead, 677 days
2596.9
DO46400
70 years, female, NA, stage:III, dead, 719 days
2541.5
DO46432
56 years, female, NA, stage:III, alive, 2218 days
2535.6
DO46344
46 years, female, NA, stage:III, dead, 642 days
2498.9
DO46404
55 years, female, NA, stage:III, dead, 690 days
2487.0
DO46388
74 years, female, NA, stage:III, dead, 413 days
2464.0
DO46597
60 years, female, NA, stage:III, dead, 393 days
2453.3
DO46560
45 years, female, NA, stage:IV, dead, 286 days
2428.3
DO46325
54 years, female, NA, stage:III, dead, 477 days
2413.6
DO46328
52 years, female, NA, stage:III, dead, 972 days
2393.0
DO46396
64 years, female, NA, stage:III, dead, 583 days
2371.0
DO46330
60 years, female, NA, stage:III, dead, 684 days
2274.7
DO46364
45 years, female, NA, stage:III, dead, 806 days
2228.7
DO46606
73 years, female, NA, stage:III, alive, 804 days
2221.4
DO46340
62 years, female, NA, stage:III, dead, 616 days
2166.6
DO46354
73 years, female, NA, stage:III, dead, 843 days
2116.9
DO46468
67 years, female, NA, stage:III, alive, 2776 days
2109.9
DO46372
39 years, female, NA, stage:III, dead, 1326 days
2073.7
DO46327
54 years, female, NA, stage:III, dead, 184 days
2033.7
DO46332
56 years, female, NA, stage:III, dead, 689 days
1941.0
DO46331
72 years, female, NA, stage:III, dead, 612 days
1874.8
DO46368
57 years, female, NA, stage:III, dead, 2879 days
1733.9
DO46382
62 years, female, NA, stage:IV, dead, 311 days
1601.6
DO46538
57 years, female, NA, stage:III, dead, 1527 days
1568.9
DO46374
69 years, female, NA, stage:III, dead, 1409 days
1510.7
DO46571
61 years, female, NA, stage:III, dead, 243 days
1471.1
DO46551
58 years, female, NA, stage:III, dead, 1055 days
1461.1
DO46412
64 years, female, NA, stage:III, dead, 597 days
1423.0
DO46436
58 years, female, NA, stage:III, alive, 3193 days
1340.3
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
1138.2
DO46336
70 years, female, NA, stage:IV, dead, 664 days
867.0
DO46546
73 years, female, NA, stage:III, dead, 1889 days
446.5
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
1.1
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
1.1
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
0.7
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
0.7
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
0.7
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
0.6
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
0.5
2f901c90-617e-46da-9fac-d68369_D2
Tumor
0.4
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
0.4
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
0.3
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
0.3
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
0.3
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
0.3
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
0.3
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
0.3
340a3769-3031-41ae-bb08-a2f696_D2
Normal
0.2
15524912-685a-47ce-a824-567848_D2
Tumor
0.2
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
0.2
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
0.1
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
0.1
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
0.0
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
0.0
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
-0.1
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
-0.1
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
-0.1
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
-0.2
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
-0.2
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-0.2
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
-0.2
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
-0.2
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
-0.2
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
-0.2
161317f3-1a39-438e-af45-cd2502_D2
Tumor
-0.3
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
-0.3
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
-0.3
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
-0.3
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
-0.3
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
-0.3
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
-0.3
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-0.3
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
-0.4
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
-0.4
10c2d629-0287-4511-ac25-f29031_D2
Tumor
-0.5
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
-0.5
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
-0.5
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
-0.5
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
-0.5
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
-0.5
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
-0.5
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
-0.5
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
-0.5
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
-0.5
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
-0.5
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
-0.6
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
-0.6
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
-0.6
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
-0.6
285fed94-1495-448e-879b-b55de9_D2
Tumor
-0.6
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
-0.6
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
-0.7
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
-0.7
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
-0.7
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
-0.7
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
-0.7
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
-0.7
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
-0.7
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
-0.7
e9d416e7-f661-400a-896e-388545_D2
Tumor
-0.7
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
-0.7
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
-0.7
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
-0.8
1db5574d-aca7-403c-8100-6e705f_D2
Normal
-0.8
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
-0.8
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
-0.8
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
-0.8
a65d8e76-640f-4341-a561-afbb57_D2
Normal
-0.8
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
-0.8
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
-0.8
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
-0.8
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
-0.9
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
-0.9
a3a26070-fb84-406a-8280-d555e6_D2
Normal
-0.9
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
-0.9
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
-0.9
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
-0.9
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
-0.9
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
-1.0
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
-1.0
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
-1.0
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
-1.0
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
-1.0
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
-1.0
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
-1.1
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
-1.1
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
-1.1
1a10c200-3895-4648-b951-94f99f_D2
Tumor
-1.1
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
-1.2
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
-1.2
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
-1.3
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
-1.4
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
-1.5
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-1.7
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
-1.7
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
-1.7
1772e913-f62e-446a-8cf3-720348_D2
Tumor
-1.8
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
-1.8
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
-2.0
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
-2.1
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
