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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.
RPL41 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
10093.5
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
32106.3
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
24026.7
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
23786.1
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
22692.1
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
21786.2
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
21217.8
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
20894.6
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
20673.4
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
20297.7
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
19901.2
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
19584.4
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
19054.6
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
18954.7
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
18829.6
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
18627.6
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
18406.3
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
18185.0
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
18098.2
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
17810.3
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
17681.0
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
17575.4
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
17440.7
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
17422.1
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
17377.7
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
17203.3
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
17097.9
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
17039.8
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
16699.6
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
16671.7
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
16668.5
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
16639.4
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
16608.3
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
16534.3
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
16373.1
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
16345.0
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
16101.0
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
15931.7
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
15743.9
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
15722.3
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
15601.0
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
15178.9
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
15028.8
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
14986.5
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
14973.1
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
14952.1
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
14836.3
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
14705.8
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
14589.2
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
14455.2
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
14339.8
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
13955.9
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
13868.9
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
13845.1
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
13817.1
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
13709.0
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
13551.6
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
13461.4
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
13458.1
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
13438.9
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
13301.4
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
13301.2
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
13240.4
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
13206.7
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
13188.9
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
13135.1
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
13085.7
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
12932.1
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
12895.7
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
12887.4
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
12849.8
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
12804.5
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
12720.5
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
12680.8
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
12643.9
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
12637.5
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
12620.8
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
12565.9
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
12505.2
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
12486.4
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
12439.8
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
12431.9
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
12431.2
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
12429.9
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
12385.1
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
12342.8
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
12334.7
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
12291.5
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
12283.3
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
12266.7
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
12244.8
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
12211.5
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
12199.7
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
12109.6
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
12090.8
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
11952.2
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
11931.4
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
11919.6
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
11878.7
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
11779.3
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
11777.1
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
11761.4
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
11758.8
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
11645.7
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
11643.7
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
11585.2
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
11555.8
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
11446.0
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
11439.7
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
11438.1
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
11351.8
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
11272.1
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
11242.7
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
11234.1
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
11228.5
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
11218.7
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
11212.9
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
11202.8
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
11197.8
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
11151.5
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
11075.1
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
11060.7
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
11055.5
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
10913.5
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
10846.2
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
10833.1
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
10819.7
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
10812.5
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
10796.4
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
10786.8
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
10658.7
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
10585.2
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
10543.7
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
10484.6
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
10479.6
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
10462.8
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
10457.1
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
10441.3
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
10414.5
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
10401.8
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
10396.9
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
10331.6
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
10319.4
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
10270.6
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
10252.0
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
10168.5
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
10137.9
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
10105.3
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
10079.0
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
10069.1
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
10062.1
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
10054.7
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
10050.6
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
10002.3
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
9982.4
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
9896.1
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
9866.2
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
9857.1
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
9835.9
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
9829.8
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
9779.9
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
9678.9
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
9672.1
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
9601.6
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
9551.6
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
9550.9
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
9528.9
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
9441.9
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
9441.4
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
9441.3
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
9409.9
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
9392.1
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
9372.3
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
9359.9
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
9308.7
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
9281.8
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
9261.3
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
9256.0
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
9215.7
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
9192.2
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
9170.4
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
9163.8
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
9152.0
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
9147.6
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
9130.8
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
9120.8
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
9109.8
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
9103.0
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
9066.6
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
8967.4
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
8942.9
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
8912.8
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
8870.7
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
8860.7
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
8849.0
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
8834.1
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
8801.5
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
8773.2
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
8760.9
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
8748.7
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
8743.9
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
8734.0
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
8730.7
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
8698.0
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
8682.3
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
8626.2
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
8598.7
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
8541.9
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
8391.1
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
8365.3
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
8349.8
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
8349.0
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
8344.7
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
8318.4
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
8296.2
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
8284.8
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
8284.0
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
8256.7
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
8205.0
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
8167.8
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
8112.1
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
8090.5
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
8032.3
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
7991.1
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
7987.4
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
7974.3
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
7964.6
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
7960.3
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
7943.3
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
7929.9
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
7928.1
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
7926.1
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
7916.8
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
7913.5
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
7909.3
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
7899.7
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
7890.0
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
7848.9
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
7782.1
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
7771.2
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
7765.9
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
7764.4
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
7760.2
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
7677.9
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
7666.0
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
7566.1
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
7464.7
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
7463.8
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
7450.5
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
7410.4
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
7364.3
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
7343.2
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
7324.8
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
7282.8
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
7272.1
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
7245.6
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
7171.1
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
7159.0
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
7142.4
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
7129.2
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
7108.2
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
7106.6
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
7092.0
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
7039.8
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
7001.7
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
6975.7
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
6974.2
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
6907.0
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
6887.9
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
6884.0
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
6876.6
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
6858.8
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
6837.8
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
6782.1
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
6780.4
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
6692.5
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
6660.2
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
6644.9
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
6628.7
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
6623.0
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
6617.7
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
6563.9
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
6560.2
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
6547.8
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
6502.5
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
6480.5
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
6396.2
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
6394.9
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
6394.3
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
6385.0
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
6372.0
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
6329.1
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
6293.0
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
6269.7
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
6260.8
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
6196.8
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
6188.4
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
6179.3
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
6173.9
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
6142.1
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
6129.6
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
6118.7
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
6103.2
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
6070.5
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
6056.6
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
5978.9
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
5955.2
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
5925.2
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
5921.9
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
5915.9
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
5911.3
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
5860.8
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
5800.5
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
5780.6
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
5716.1
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
5711.1
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
5695.9
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
5594.0
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
5539.2
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
5415.1
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
5394.9
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
5392.2
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
5364.7
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
5335.2
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
5285.7
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
5247.1
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
5185.6
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
5042.0
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
4837.0
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
4808.3
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
4797.6
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
4738.0
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
4700.0
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
4688.3
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
4546.4
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
4510.8
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
4492.2
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
4387.2
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
4312.7
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
4194.7
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
4075.3
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
4072.2
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
3849.3
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
3795.6
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
3763.3
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
3734.3
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
3653.4
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
3508.4
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
3476.9
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 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.
RPL41 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
7502.0
Number of samples
81
Samples
Sample
Description
pTPM
DO46356
68 years, female, NA, stage:III, dead, 911 days
17017.3
DO46370
54 years, female, NA, stage:III, dead, 1727 days
16499.2
DO46384
55 years, female, NA, stage:III, dead, 614 days
14389.1
DO46390
65 years, female, NA, stage:III, dead, 374 days
13834.4
DO46568
66 years, female, NA, stage:III, dead, 320 days
13068.3
DO46378
59 years, female, NA, stage:III, alive, 843 days
12193.4
DO46338
59 years, female, NA, stage:III, dead, 596 days
11721.2
DO46591
58 years, female, NA, stage:III, dead, 195 days
11669.6
DO46576
75 years, female, NA, stage:III, alive, 133 days
11461.2
DO46606
73 years, female, NA, stage:III, alive, 804 days
11452.9
DO46463
49 years, female, NA, stage:III, dead, 2451 days
11413.7
DO46330
60 years, female, NA, stage:III, dead, 684 days
11197.9
DO46561
52 years, female, NA, stage:III, dead, 195 days
11031.7
DO46326
51 years, female, NA, stage:III, dead, 701 days
10993.5
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
10933.7
DO46328
52 years, female, NA, stage:III, dead, 972 days
10857.3
DO46566
78 years, female, NA, stage:III, dead, 673 days
10462.7
DO46346
54 years, female, NA, stage:III, dead, 1187 days
10181.7
DO46334
77 years, female, NA, stage:III, dead, 496 days
9991.1
DO46333
58 years, female, NA, stage:III, dead, 359 days
9473.6
DO46586
55 years, female, NA, stage:III, dead, 1019 days
9469.3
DO46518
62 years, female, NA, stage:III, alive, 2960 days
9408.0
DO46402
77 years, female, NA, stage:III, dead, 511 days
9331.7
DO46404
55 years, female, NA, stage:III, dead, 690 days
9246.3
DO46352
60 years, female, NA, stage:III, dead, 677 days
9072.9
DO46364
45 years, female, NA, stage:III, dead, 806 days
8792.9
DO46362
61 years, female, NA, stage:III, dead, 1639 days
8756.2
DO46533
46 years, female, NA, stage:III, alive, 3667 days
8664.7
DO46538
57 years, female, NA, stage:III, dead, 1527 days
8308.2
DO46597
60 years, female, NA, stage:III, dead, 393 days
8259.4
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
8207.1
DO46588
74 years, female, NA, stage:III, dead, 438 days
8206.0
DO46443
59 years, female, NA, stage:III, dead, 2464 days
8135.4
DO46468
67 years, female, NA, stage:III, alive, 2776 days
8119.9
DO46408
56 years, female, NA, stage:III, dead, 489 days
8105.9
DO46508
50 years, female, NA, stage:III, dead, 2101 days
8019.2
DO46412
64 years, female, NA, stage:III, dead, 597 days
8004.8
DO46453
66 years, female, NA, stage:III, dead, 3294 days
7993.1
DO46581
66 years, female, NA, stage:III, dead, 408 days
7821.8
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
7794.0
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
7671.4
DO46560
45 years, female, NA, stage:IV, dead, 286 days
7180.2
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
7118.9
DO46551
58 years, female, NA, stage:III, dead, 1055 days
6989.7
DO46358
60 years, female, NA, stage:III, dead, 423 days
6689.1
DO46392
48 years, female, NA, stage:III, dead, 628 days
6299.3
DO46386
49 years, female, NA, stage:III, dead, 1162 days
6206.6
DO46398
66 years, female, NA, stage:III, alive, 437 days
5946.0
DO46344
46 years, female, NA, stage:III, dead, 642 days
5848.8
DO46329
52 years, female, NA, stage:III, dead, 1699 days
5816.3
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
5809.4
DO46340
62 years, female, NA, stage:III, dead, 616 days
5770.9
DO46325
54 years, female, NA, stage:III, dead, 477 days
5657.3
DO46400
70 years, female, NA, stage:III, dead, 719 days
5593.8
DO46380
51 years, female, NA, stage:III, dead, 1423 days
5534.8
DO46382
62 years, female, NA, stage:IV, dead, 311 days
5481.4
DO46366
65 years, female, NA, stage:III, dead, 2054 days
5381.9
DO46342
67 years, female, NA, stage:III, dead, 1398 days
5269.3
DO46448
45 years, female, NA, stage:III, dead, 654 days
5058.6
DO46368
57 years, female, NA, stage:III, dead, 2879 days
5010.3
DO46432
56 years, female, NA, stage:III, alive, 2218 days
4801.9
DO46396
64 years, female, NA, stage:III, dead, 583 days
4726.9
DO46493
62 years, female, NA, stage:IV, alive, 839 days
4555.1
DO46350
66 years, female, NA, stage:III, dead, 886 days
4553.8
DO46348
58 years, female, NA, stage:IV, dead, 287 days
4522.0
DO46571
61 years, female, NA, stage:III, dead, 243 days
4450.7
DO46374
69 years, female, NA, stage:III, dead, 1409 days
4375.7
DO46327
54 years, female, NA, stage:III, dead, 184 days
4256.2
DO46388
74 years, female, NA, stage:III, dead, 413 days
4097.2
DO46336
70 years, female, NA, stage:IV, dead, 664 days
3950.2
DO46372
39 years, female, NA, stage:III, dead, 1326 days
3926.4
DO46332
56 years, female, NA, stage:III, dead, 689 days
3894.0
DO46528
56 years, female, NA, stage:III, alive, 6139 days
3892.7
DO46354
73 years, female, NA, stage:III, dead, 843 days
3858.1
DO46611
52 years, female, NA, stage:III, dead, 734 days
3693.8
DO46436
58 years, female, NA, stage:III, alive, 3193 days
3478.4
DO46376
58 years, female, NA, stage:III, dead, 1430 days
2993.7
DO46602
74 years, female, NA, stage:III, dead, 205 days
2614.7
DO46331
72 years, female, NA, stage:III, dead, 612 days
2156.2
DO46546
73 years, female, NA, stage:III, dead, 1889 days
1814.6
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
1159.8
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
N/A
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
N/A
21efd60f-6a31-4b98-9477-16a905_D2
Normal
N/A
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
N/A
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
N/A
285fed94-1495-448e-879b-b55de9_D2
Tumor
N/A
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
N/A
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
N/A
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
N/A
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
N/A
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
N/A
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
N/A
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
N/A
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
N/A
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
N/A
2f901c90-617e-46da-9fac-d68369_D2
Tumor
N/A
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
N/A
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
N/A
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
N/A
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
N/A
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
N/A
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
N/A
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
N/A
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
N/A
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
N/A
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
N/A
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
N/A
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
N/A
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
N/A
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
N/A
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
N/A
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
N/A
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
N/A
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
N/A
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
N/A
1772e913-f62e-446a-8cf3-720348_D2
Tumor
N/A
e9d416e7-f661-400a-896e-388545_D2
Tumor
N/A
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
N/A
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
N/A
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
N/A
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
N/A
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
N/A
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
N/A
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
N/A
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
N/A
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
N/A
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
N/A
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
N/A
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
N/A
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
N/A
10c2d629-0287-4511-ac25-f29031_D2
Tumor
N/A
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
N/A
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
N/A
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
N/A
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
N/A
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
N/A
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
N/A
340a3769-3031-41ae-bb08-a2f696_D2
Normal
N/A
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
N/A
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
N/A
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
N/A
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
N/A
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
N/A
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
N/A
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
N/A
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
N/A
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
N/A
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
N/A
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
N/A
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
N/A
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
N/A
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
N/A
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
N/A
15524912-685a-47ce-a824-567848_D2
Tumor
N/A
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
N/A
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
N/A
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
N/A
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
N/A
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
N/A
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
N/A
a3a26070-fb84-406a-8280-d555e6_D2
Normal
N/A
161317f3-1a39-438e-af45-cd2502_D2
Tumor
N/A
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
N/A
1db5574d-aca7-403c-8100-6e705f_D2
Normal
N/A
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
N/A
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
N/A
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
N/A
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
N/A
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
N/A
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
N/A
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
N/A
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
N/A
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
N/A
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
N/A
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
N/A
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
N/A
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
N/A
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
N/A
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
N/A
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
N/A
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
N/A
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
N/A
a65d8e76-640f-4341-a561-afbb57_D2
Normal
N/A
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
N/A
1a10c200-3895-4648-b951-94f99f_D2
Tumor
N/A
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
N/A
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
N/A
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
N/A
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
