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.
RPL28 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
7310.2
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
30635.3
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
25742.3
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
21491.7
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
20096.7
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
20046.8
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
16660.7
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
16621.0
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
16590.6
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
16199.8
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
15520.2
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
15034.8
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
14627.1
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
14416.3
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
14365.7
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
14340.4
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
14296.5
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
14160.7
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
13966.0
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
13779.1
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
13740.7
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
13631.1
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
13622.0
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
13410.2
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
12990.0
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
12987.5
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
12915.6
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
12872.1
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
12791.3
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
12790.9
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
12763.6
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
12658.5
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
12655.9
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
12555.6
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
12194.7
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
12131.1
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
12108.3
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
12077.9
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
11921.5
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
11872.5
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
11830.6
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
11820.8
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
11775.1
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
11660.6
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
11631.7
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
11579.0
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
11570.6
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
11530.0
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
11488.1
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
11403.4
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
11373.7
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
11337.5
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
11250.3
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
11240.0
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
11198.4
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
11159.7
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
11152.9
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
11004.3
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
10659.2
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
10414.3
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
10378.0
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
10360.2
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
10246.8
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
10108.3
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
10009.6
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
10007.6
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
10000.4
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
9650.3
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
9608.4
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
9574.4
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
9493.0
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
9470.2
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
9421.9
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
9383.2
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
9344.6
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
9257.5
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
9251.4
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
9233.6
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
9202.6
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
9062.1
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
9058.2
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
8986.5
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
8927.5
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
8925.7
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
8911.0
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
8905.2
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
8828.6
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
8827.9
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
8820.5
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
8807.5
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
8779.6
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
8778.8
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
8681.3
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
8611.2
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
8594.3
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
8579.2
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
8517.9
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
8449.8
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
8399.4
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
8397.1
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
8370.4
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
8361.7
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
8351.0
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
8317.5
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
8215.2
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
8194.8
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
8183.2
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
8117.6
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
8111.3
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
8050.0
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
8046.8
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
8020.3
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
8018.7
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
8000.2
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
7928.1
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
7922.0
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
7907.5
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
7846.7
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
7843.1
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
7838.1
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
7811.3
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
7799.2
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
7790.1
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
7777.9
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
7738.0
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
7718.7
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
7672.4
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
7672.0
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
7628.7
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
7618.2
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
7612.8
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
7611.2
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
7577.7
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
7490.5
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
7479.5
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
7451.1
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
7404.8
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
7378.0
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
7353.9
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
7329.2
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
7318.8
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
7259.1
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
7214.0
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
7186.5
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
7185.6
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
7173.4
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
7149.5
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
7127.1
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
7118.5
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
7108.3
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
7065.5
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
7046.9
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
7024.8
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
7019.3
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
7017.2
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
6999.7
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
6994.8
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
6969.0
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
6949.7
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
6943.8
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
6872.0
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
6860.7
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
6857.2
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
6818.0
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
6816.9
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
6770.6
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
6608.9
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
6596.5
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
6582.3
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
6562.0
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
6527.9
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
6526.6
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
6507.5
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
6496.2
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
6462.0
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
6447.5
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
6435.5
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
6423.3
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
6376.3
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
6373.2
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
6298.4
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
6274.4
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
6248.3
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
6234.0
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
6224.8
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
6204.6
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
6194.2
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
6183.1
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
6181.4
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
6165.7
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
6165.5
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
6142.3
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
6125.2
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
6107.5
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
6101.5
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
6075.9
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
6064.2
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
6059.8
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
6048.0
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
6036.8
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
6027.5
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
6018.3
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
6016.2
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
5980.3
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
5969.2
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
5959.7
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
5929.4
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
5892.3
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
5886.7
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
5871.3
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
5856.2
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
5846.8
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
5846.5
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
5843.9
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
5825.0
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
5811.8
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
5803.4
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
5740.6
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
5669.8
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
5639.8
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
5632.6
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
5614.7
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
5613.6
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
5594.6
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
5531.4
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
5502.6
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
5499.5
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
5495.5
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
5491.7
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
5439.4
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
5363.5
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
5339.4
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
5332.9
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
5327.8
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
5320.9
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
5316.6
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
5304.8
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
5267.5
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
5256.5
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
5255.1
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
5218.0
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
5213.1
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
5198.1
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
5182.0
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
5137.6
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
5131.1
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
5128.9
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
5112.2
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
5093.2
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
5045.0
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
5002.7
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
4966.2
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
4904.7
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
4893.8
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
4874.1
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
4867.1
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
4840.8
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
4831.8
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
4798.3
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
4756.4
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
4751.8
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
4716.9
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
4677.7
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
4670.7
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
4664.7
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
4663.4
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
4659.6
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
4628.8
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
4517.9
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
4497.6
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
4496.2
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
4454.8
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
4437.9
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
4427.3
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
4399.0
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
4376.6
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
4373.1
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
4371.5
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
4367.6
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
4341.9
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
4326.2
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
4319.4
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
4312.7
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
4284.0
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
4272.1
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
4252.0
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
4247.1
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
4246.4
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
4223.4
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
4204.9
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
4174.3
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
4173.6
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
4104.1
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
4103.7
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
4073.7
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
4035.4
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
4030.2
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
4002.6
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
3996.9
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
3989.1
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
3933.6
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
3927.0
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
3905.5
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
3901.0
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
3896.4
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
3878.1
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
3869.8
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
3844.0
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
3810.3
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
3800.5
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
3794.3
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
3720.7
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
3708.0
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
3653.0
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
3645.1
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
3639.5
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
3635.0
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
3625.3
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
3516.1
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
3475.2
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
3471.0
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
3454.2
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
3404.3
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
3393.1
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
3373.8
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
3372.0
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
3346.5
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
3313.6
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
3254.8
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
3252.5
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
3232.5
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
3193.9
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
3168.6
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
3061.8
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
3015.7
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
2948.1
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
2939.8
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
2882.3
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
2863.1
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
2854.1
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
2841.6
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
2677.9
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
2628.1
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
2609.7
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
2419.8
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
2407.4
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
2370.5
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
2242.3
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
1728.5
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 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.
RPL28 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
1485.1
Number of samples
81
Samples
Sample
Description
pTPM
DO46333
58 years, female, NA, stage:III, dead, 359 days
5526.2
DO46611
52 years, female, NA, stage:III, dead, 734 days
4920.6
DO46551
58 years, female, NA, stage:III, dead, 1055 days
4633.7
DO46331
72 years, female, NA, stage:III, dead, 612 days
4480.5
DO46356
68 years, female, NA, stage:III, dead, 911 days
3432.1
DO46453
66 years, female, NA, stage:III, dead, 3294 days
2954.5
DO46366
65 years, female, NA, stage:III, dead, 2054 days
2879.1
DO46576
75 years, female, NA, stage:III, alive, 133 days
2808.6
DO46342
67 years, female, NA, stage:III, dead, 1398 days
2783.8
DO46376
58 years, female, NA, stage:III, dead, 1430 days
2500.6
DO46402
77 years, female, NA, stage:III, dead, 511 days
2347.2
DO46384
55 years, female, NA, stage:III, dead, 614 days
2308.1
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
2272.0
DO46364
45 years, female, NA, stage:III, dead, 806 days
2233.6
DO46463
49 years, female, NA, stage:III, dead, 2451 days
2131.0
DO46390
65 years, female, NA, stage:III, dead, 374 days
2065.6
DO46586
55 years, female, NA, stage:III, dead, 1019 days
2004.6
DO46568
66 years, female, NA, stage:III, dead, 320 days
1931.1
DO46538
57 years, female, NA, stage:III, dead, 1527 days
1879.3
DO46392
48 years, female, NA, stage:III, dead, 628 days
1850.2
DO46602
74 years, female, NA, stage:III, dead, 205 days
1823.2
DO46378
59 years, female, NA, stage:III, alive, 843 days
1703.6
DO46329
52 years, female, NA, stage:III, dead, 1699 days
1602.5
DO46380
51 years, female, NA, stage:III, dead, 1423 days
1594.1
DO46326
51 years, female, NA, stage:III, dead, 701 days
1576.5
DO46597
60 years, female, NA, stage:III, dead, 393 days
1560.9
DO46370
54 years, female, NA, stage:III, dead, 1727 days
1513.4
DO46581
66 years, female, NA, stage:III, dead, 408 days
1471.6
DO46560
45 years, female, NA, stage:IV, dead, 286 days
1411.2
DO46566
78 years, female, NA, stage:III, dead, 673 days
1385.7
DO46591
58 years, female, NA, stage:III, dead, 195 days
1363.9
DO46493
62 years, female, NA, stage:IV, alive, 839 days
1361.8
DO46528
56 years, female, NA, stage:III, alive, 6139 days
1353.6
DO46508
50 years, female, NA, stage:III, dead, 2101 days
1323.4
DO46561
52 years, female, NA, stage:III, dead, 195 days
1281.2
DO46388
74 years, female, NA, stage:III, dead, 413 days
1268.2
DO46518
62 years, female, NA, stage:III, alive, 2960 days
1251.2
DO46382
62 years, female, NA, stage:IV, dead, 311 days
1251.0
DO46372
39 years, female, NA, stage:III, dead, 1326 days
1245.9
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
1228.2
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
1225.8
DO46348
58 years, female, NA, stage:IV, dead, 287 days
1207.1
DO46352
60 years, female, NA, stage:III, dead, 677 days
1198.2
DO46374
69 years, female, NA, stage:III, dead, 1409 days
1161.8
DO46354
73 years, female, NA, stage:III, dead, 843 days
1150.2
DO46368
57 years, female, NA, stage:III, dead, 2879 days
1120.8
DO46408
56 years, female, NA, stage:III, dead, 489 days
1085.9
DO46334
77 years, female, NA, stage:III, dead, 496 days
1045.6
DO46330
60 years, female, NA, stage:III, dead, 684 days
1032.1
DO46350
66 years, female, NA, stage:III, dead, 886 days
1001.4
DO46443
59 years, female, NA, stage:III, dead, 2464 days
975.0
DO46404
55 years, female, NA, stage:III, dead, 690 days
935.4
DO46386
49 years, female, NA, stage:III, dead, 1162 days
891.2
DO46468
67 years, female, NA, stage:III, alive, 2776 days
880.6
DO46412
64 years, female, NA, stage:III, dead, 597 days
868.4
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
863.5
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
859.8
DO46533
46 years, female, NA, stage:III, alive, 3667 days
858.0
DO46448
45 years, female, NA, stage:III, dead, 654 days
851.3
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
844.9
DO46432
56 years, female, NA, stage:III, alive, 2218 days
842.4
DO46400
70 years, female, NA, stage:III, dead, 719 days
835.3
DO46358
60 years, female, NA, stage:III, dead, 423 days
829.4
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
794.5
DO46332
56 years, female, NA, stage:III, dead, 689 days
780.7
DO46338
59 years, female, NA, stage:III, dead, 596 days
764.2
DO46362
61 years, female, NA, stage:III, dead, 1639 days
720.2
DO46436
58 years, female, NA, stage:III, alive, 3193 days
688.7
DO46546
73 years, female, NA, stage:III, dead, 1889 days
673.5
DO46325
54 years, female, NA, stage:III, dead, 477 days
636.8
DO46328
52 years, female, NA, stage:III, dead, 972 days
628.3
DO46344
46 years, female, NA, stage:III, dead, 642 days
627.0
DO46571
61 years, female, NA, stage:III, dead, 243 days
620.3
DO46336
70 years, female, NA, stage:IV, dead, 664 days
608.5
DO46398
66 years, female, NA, stage:III, alive, 437 days
598.0
DO46346
54 years, female, NA, stage:III, dead, 1187 days
596.3
DO46588
74 years, female, NA, stage:III, dead, 438 days
560.4
DO46327
54 years, female, NA, stage:III, dead, 184 days
526.7
DO46396
64 years, female, NA, stage:III, dead, 583 days
482.3
DO46606
73 years, female, NA, stage:III, alive, 804 days
459.9
DO46340
62 years, female, NA, stage:III, dead, 616 days
457.9
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
1.7
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
1.7
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
1.4
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
1.4
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
1.3
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
1.3
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
1.2
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
1.2
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
1.2
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
1.1
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
1.1
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
1.1
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
1.1
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
1.1
285fed94-1495-448e-879b-b55de9_D2
Tumor
1.1
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
1.1
161317f3-1a39-438e-af45-cd2502_D2
Tumor
1.1
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
1.0
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
1.0
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
0.9
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
0.9
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
0.9
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
0.9
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
0.8
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
0.8
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
0.8
1772e913-f62e-446a-8cf3-720348_D2
Tumor
0.8
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
0.8
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
0.8
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
0.8
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
0.8
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
0.8
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
0.8
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
0.7
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
0.7
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
0.7
e9d416e7-f661-400a-896e-388545_D2
Tumor
0.7
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
0.7
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
0.7
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
0.7
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
0.7
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
0.7
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
0.6
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
0.6
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
0.6
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
0.6
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
0.6
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
0.6
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
0.6
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
0.5
15524912-685a-47ce-a824-567848_D2
Tumor
0.5
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
0.5
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
0.5
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
0.5
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
0.5
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
0.5
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
0.5
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
0.5
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
0.5
2f901c90-617e-46da-9fac-d68369_D2
Tumor
0.5
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
0.4
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
0.4
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
0.4
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
0.4
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
0.3
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
0.3
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
0.3
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
0.3
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
0.2
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
0.2
340a3769-3031-41ae-bb08-a2f696_D2
Normal
0.2
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
0.2
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
0.2
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
0.2
1a10c200-3895-4648-b951-94f99f_D2
Tumor
0.2
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
0.1
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
0.1
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
0.1
1db5574d-aca7-403c-8100-6e705f_D2
Normal
0.1
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
0.0
10c2d629-0287-4511-ac25-f29031_D2
Tumor
0.0
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
0.0
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
-0.1
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
-0.1
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
-0.1
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
-0.2
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
-0.2
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
-0.2
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
-0.2
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
-0.3
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-0.3
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
-0.3
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
-0.3
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-0.3
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-0.4
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
-0.4
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
-0.4
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
-0.5
a65d8e76-640f-4341-a561-afbb57_D2
Normal
-0.5
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
-0.5
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
-0.6
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
-0.6
a3a26070-fb84-406a-8280-d555e6_D2
Normal
-0.6
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
-0.6
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
-0.7
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
-0.7
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
-0.7
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
-0.9
Show allShow less
OVARIAN CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
