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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPL18A 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
8584.8
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
31462.9
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
31230.4
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
31087.5
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
30906.2
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
30329.6
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
26966.8
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
26527.2
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
24066.0
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
22467.2
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
21388.9
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
20851.7
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
20683.2
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
20670.9
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
19600.8
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
19008.1
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
18094.5
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
18032.0
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
17540.6
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
17520.3
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
17388.4
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
16566.5
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
16217.6
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
15919.0
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
15792.0
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
15646.8
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
15246.0
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
15100.2
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
14816.6
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
14758.0
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
14561.7
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
14388.2
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
14295.8
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
14117.2
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
14111.1
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
14073.5
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
14014.4
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
13842.6
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
13471.0
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
13337.2
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
13329.5
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
12938.6
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
12932.7
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
12871.7
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
12669.2
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
12501.3
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
12467.3
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
12415.0
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
12414.1
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
12358.1
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
12357.9
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
12318.6
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
12226.3
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
12206.6
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
12066.2
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
12033.1
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
11935.1
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
11911.0
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
11854.5
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
11843.4
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
11822.8
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
11784.9
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
11644.5
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
11620.8
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
11616.5
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
11539.1
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
11441.1
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
11438.5
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
11371.5
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
11329.5
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
11319.7
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
11284.4
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
11270.4
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
11233.7
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
11084.5
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
11073.9
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
10925.2
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
10854.9
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
10751.1
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
10716.5
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
10665.8
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
10657.5
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
10549.9
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
10435.0
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
10387.2
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
10385.7
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
10210.5
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
10110.9
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
10099.5
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
10055.9
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
10002.2
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
9982.7
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
9949.2
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
9943.7
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
9929.8
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
9929.4
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
9924.3
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
9884.5
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
9872.9
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
9822.4
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
9733.6
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
9670.9
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
9638.3
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
9631.5
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
9587.5
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
9462.9
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
9449.0
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
9397.6
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
9373.2
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
9368.9
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
9363.7
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
9302.6
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
9281.6
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
9212.1
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
9204.9
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
9203.4
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
9185.5
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
9173.6
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
9127.0
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
9080.6
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
8989.8
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
8952.9
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
8915.1
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
8914.3
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
8883.4
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
8862.7
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
8855.4
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
8809.8
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
8796.1
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
8785.4
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
8763.2
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
8735.8
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
8733.9
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
8719.9
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
8713.1
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
8706.1
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
8680.7
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
8644.7
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
8641.9
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
8635.5
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
8609.5
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
8607.8
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
8546.5
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
8524.7
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
8484.2
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
8480.8
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
8448.7
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
8372.2
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
8332.7
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
8277.7
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
8257.3
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
8208.0
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
8199.8
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
8197.7
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
8128.3
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
8118.3
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
8073.8
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
8071.7
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
8043.4
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
8023.9
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
8006.7
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
8000.5
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
7993.6
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
7847.1
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
7645.0
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
7613.2
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
7572.4
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
7497.0
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
7451.2
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
7413.4
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
7406.0
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
7371.1
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
7367.7
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
7361.9
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
7361.8
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
7357.6
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
7336.9
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
7321.0
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
7295.0
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
7288.7
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
7283.0
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
7257.1
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
7251.8
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
7248.9
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
7246.0
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
7217.6
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
7186.2
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
7184.2
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
7170.3
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
7153.7
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
7114.3
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
7113.1
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
7032.1
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
7031.0
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
6993.5
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
6992.5
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
6973.2
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
6970.9
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
6969.9
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
6966.8
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
6879.3
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
6846.2
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
6786.4
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
6776.6
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
6735.1
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
6713.7
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
6645.5
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
6621.4
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
6601.8
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
6590.9
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
6569.9
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
6535.6
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
6535.1
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
6529.3
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
6512.9
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
6508.2
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
6484.4
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
6472.5
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
6448.0
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
6447.2
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
6410.0
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
6404.4
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
6401.7
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
6364.4
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
6339.5
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
6331.0
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
6305.9
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
6301.3
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
6233.2
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
6225.0
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
6223.0
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
6221.6
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
6217.0
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
6173.5
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
6136.0
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
6105.6
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
6102.2
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
6082.2
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
6082.0
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
6080.1
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
6075.1
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
6057.0
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
6043.2
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
6037.0
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
6027.3
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
5988.2
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
5967.6
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
5923.6
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
5913.5
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
5878.5
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
5810.4
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
5768.3
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
5736.8
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
5715.4
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
5685.5
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
5631.4
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
5616.9
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
5616.2
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
5602.1
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
5572.8
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
5570.2
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
5444.2
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
5442.7
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
5442.1
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
5373.4
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
5345.8
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
5342.6
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
5325.8
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
5296.0
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
5282.3
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
5272.1
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
5247.3
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
5224.7
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
5194.4
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
5172.8
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
5129.9
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
5103.5
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
5040.4
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
4975.6
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
4960.5
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
4922.5
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
4909.1
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
4826.8
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
4821.9
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
4764.1
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
4749.4
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
4721.7
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
4715.4
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
4707.3
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
4697.5
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
4647.5
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
4606.6
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
4591.3
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
4554.8
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
4529.0
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
4523.4
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
4518.3
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
4485.5
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
4467.8
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
4464.5
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
4459.2
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
4445.6
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
4433.7
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
4414.3
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
4403.5
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
4375.9
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
4370.3
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
4364.0
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
4234.0
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
4226.5
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
4222.4
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
4151.1
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
4124.6
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
4084.0
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
4071.5
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
4008.1
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
3970.7
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
3953.9
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
3929.2
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
3906.5
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
3905.3
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
3893.4
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
3867.4
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
3700.7
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
3662.4
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
3658.2
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
3614.4
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
3571.2
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
3503.3
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
3492.7
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
3434.4
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
3380.3
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
3370.9
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
3363.2
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
3359.2
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
3353.1
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
3205.7
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
3174.9
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
3130.0
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
3050.3
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
3049.2
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
3043.8
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
2898.4
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
2661.2
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
2652.5
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
2369.9
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
2238.0
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
2225.9
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
2184.2
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 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.
RPL18A 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
3494.1
Number of samples
81
Samples
Sample
Description
pTPM
DO46356
68 years, female, NA, stage:III, dead, 911 days
13765.0
DO46338
59 years, female, NA, stage:III, dead, 596 days
10320.3
DO46581
66 years, female, NA, stage:III, dead, 408 days
9781.3
DO46538
57 years, female, NA, stage:III, dead, 1527 days
9742.3
DO46402
77 years, female, NA, stage:III, dead, 511 days
8718.4
DO46331
72 years, female, NA, stage:III, dead, 612 days
8432.7
DO46333
58 years, female, NA, stage:III, dead, 359 days
7445.8
DO46352
60 years, female, NA, stage:III, dead, 677 days
7442.7
DO46330
60 years, female, NA, stage:III, dead, 684 days
6236.4
DO46384
55 years, female, NA, stage:III, dead, 614 days
5847.0
DO46611
52 years, female, NA, stage:III, dead, 734 days
5698.5
DO46366
65 years, female, NA, stage:III, dead, 2054 days
5472.3
DO46436
58 years, female, NA, stage:III, alive, 3193 days
5239.6
DO46463
49 years, female, NA, stage:III, dead, 2451 days
5009.3
DO46350
66 years, female, NA, stage:III, dead, 886 days
4769.3
DO46551
58 years, female, NA, stage:III, dead, 1055 days
4720.2
DO46370
54 years, female, NA, stage:III, dead, 1727 days
4608.2
DO46568
66 years, female, NA, stage:III, dead, 320 days
4392.1
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
4357.9
DO46364
45 years, female, NA, stage:III, dead, 806 days
4226.9
DO46390
65 years, female, NA, stage:III, dead, 374 days
3778.4
DO46518
62 years, female, NA, stage:III, alive, 2960 days
3648.7
DO46328
52 years, female, NA, stage:III, dead, 972 days
3525.9
DO46508
50 years, female, NA, stage:III, dead, 2101 days
3520.9
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
3480.9
DO46374
69 years, female, NA, stage:III, dead, 1409 days
3395.0
DO46576
75 years, female, NA, stage:III, alive, 133 days
3383.7
DO46493
62 years, female, NA, stage:IV, alive, 839 days
3378.7
DO46326
51 years, female, NA, stage:III, dead, 701 days
3270.3
DO46325
54 years, female, NA, stage:III, dead, 477 days
3248.4
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
3167.9
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
3067.2
DO46342
67 years, female, NA, stage:III, dead, 1398 days
2963.0
DO46378
59 years, female, NA, stage:III, alive, 843 days
2931.8
DO46443
59 years, female, NA, stage:III, dead, 2464 days
2923.8
DO46388
74 years, female, NA, stage:III, dead, 413 days
2893.0
DO46566
78 years, female, NA, stage:III, dead, 673 days
2875.3
DO46392
48 years, female, NA, stage:III, dead, 628 days
2870.7
DO46432
56 years, female, NA, stage:III, alive, 2218 days
2762.1
DO46376
58 years, female, NA, stage:III, dead, 1430 days
2689.3
DO46408
56 years, female, NA, stage:III, dead, 489 days
2672.1
DO46396
64 years, female, NA, stage:III, dead, 583 days
2655.6
DO46561
52 years, female, NA, stage:III, dead, 195 days
2634.1
DO46591
58 years, female, NA, stage:III, dead, 195 days
2592.4
DO46329
52 years, female, NA, stage:III, dead, 1699 days
2567.0
DO46348
58 years, female, NA, stage:IV, dead, 287 days
2550.4
DO46606
73 years, female, NA, stage:III, alive, 804 days
2544.6
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
2530.8
DO46354
73 years, female, NA, stage:III, dead, 843 days
2465.4
DO46380
51 years, female, NA, stage:III, dead, 1423 days
2387.0
DO46560
45 years, female, NA, stage:IV, dead, 286 days
2376.7
DO46597
60 years, female, NA, stage:III, dead, 393 days
2261.8
DO46344
46 years, female, NA, stage:III, dead, 642 days
2245.4
DO46412
64 years, female, NA, stage:III, dead, 597 days
2237.0
DO46588
74 years, female, NA, stage:III, dead, 438 days
2205.0
DO46533
46 years, female, NA, stage:III, alive, 3667 days
2203.7
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
2191.9
DO46368
57 years, female, NA, stage:III, dead, 2879 days
2185.9
DO46400
70 years, female, NA, stage:III, dead, 719 days
2178.9
DO46358
60 years, female, NA, stage:III, dead, 423 days
2157.2
DO46448
45 years, female, NA, stage:III, dead, 654 days
2111.6
DO46327
54 years, female, NA, stage:III, dead, 184 days
2018.2
DO46453
66 years, female, NA, stage:III, dead, 3294 days
2001.2
DO46334
77 years, female, NA, stage:III, dead, 496 days
1928.9
DO46372
39 years, female, NA, stage:III, dead, 1326 days
1908.6
DO46528
56 years, female, NA, stage:III, alive, 6139 days
1857.7
DO46362
61 years, female, NA, stage:III, dead, 1639 days
1854.4
DO46346
54 years, female, NA, stage:III, dead, 1187 days
1838.6
DO46404
55 years, female, NA, stage:III, dead, 690 days
1824.6
DO46602
74 years, female, NA, stage:III, dead, 205 days
1766.4
DO46586
55 years, female, NA, stage:III, dead, 1019 days
1749.9
DO46386
49 years, female, NA, stage:III, dead, 1162 days
1703.9
DO46546
73 years, female, NA, stage:III, dead, 1889 days
1625.0
DO46398
66 years, female, NA, stage:III, alive, 437 days
1601.0
DO46468
67 years, female, NA, stage:III, alive, 2776 days
1550.2
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
1511.2
DO46571
61 years, female, NA, stage:III, dead, 243 days
1493.4
DO46332
56 years, female, NA, stage:III, dead, 689 days
1413.9
DO46340
62 years, female, NA, stage:III, dead, 616 days
1264.3
DO46336
70 years, female, NA, stage:IV, dead, 664 days
1112.3
DO46382
62 years, female, NA, stage:IV, dead, 311 days
1050.1
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
161317f3-1a39-438e-af45-cd2502_D2
Tumor
0.8
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
0.7
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
0.6
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
0.6
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
0.5
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
0.5
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
0.5
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
0.5
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
0.4
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
0.4
10c2d629-0287-4511-ac25-f29031_D2
Tumor
0.4
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
0.4
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
0.4
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
0.4
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
0.4
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
0.4
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
0.4
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
0.4
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
0.4
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
0.4
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
0.4
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
0.3
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
0.3
e9d416e7-f661-400a-896e-388545_D2
Tumor
0.3
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
0.3
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
0.3
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
0.3
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
0.3
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
0.3
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
0.3
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
0.3
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
0.2
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
0.2
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
0.2
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
0.2
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
0.2
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
0.2
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
0.2
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
0.1
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
0.1
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
0.1
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
0.1
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
0.1
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
0.1
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
0.0
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
0.0
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
0.0
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
0.0
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
0.0
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
0.0
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
0.0
1772e913-f62e-446a-8cf3-720348_D2
Tumor
0.0
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
-0.1
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
-0.1
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
-0.1
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
-0.1
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
-0.1
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
-0.1
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
-0.1
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
-0.2
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
-0.2
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
-0.2
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
-0.2
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
-0.2
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
-0.2
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
-0.2
285fed94-1495-448e-879b-b55de9_D2
Tumor
-0.2
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
-0.2
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
-0.2
a65d8e76-640f-4341-a561-afbb57_D2
Normal
-0.2
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
-0.3
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
-0.3
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
-0.3
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
-0.3
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
-0.3
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
-0.3
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
-0.3
1a10c200-3895-4648-b951-94f99f_D2
Tumor
-0.3
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
-0.4
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
-0.4
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
-0.4
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
-0.4
340a3769-3031-41ae-bb08-a2f696_D2
Normal
-0.4
15524912-685a-47ce-a824-567848_D2
Tumor
-0.4
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
-0.4
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
-0.4
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
-0.4
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
-0.5
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
-0.5
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
-0.5
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-0.5
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
-0.5
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-0.6
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
-0.6
1db5574d-aca7-403c-8100-6e705f_D2
Normal
-0.6
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-0.6
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
-0.6
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
-0.6
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
-0.7
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
-0.7
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
-0.7
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
-0.8
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
-0.8
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
-1.0
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
-1.0
a3a26070-fb84-406a-8280-d555e6_D2
Normal
-1.1
2f901c90-617e-46da-9fac-d68369_D2
Tumor
-1.1
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
-1.2
Show allShow less
OVARIAN CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
