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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.
RPS10 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
3916.5
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
14711.1
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
14391.8
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
12671.6
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
11113.3
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
8928.8
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
8477.5
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
8413.7
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
8407.8
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
8276.8
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
8010.2
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
7908.3
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
7727.1
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
7695.8
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
7537.6
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
7421.8
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
7374.0
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
7369.1
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
7361.7
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
7356.8
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
7333.2
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
7318.3
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
7162.9
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
7021.5
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
6994.7
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
6991.6
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
6963.8
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
6940.3
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
6938.9
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
6906.4
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
6832.5
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
6824.0
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
6742.5
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
6713.2
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
6613.5
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
6577.6
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
6484.4
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
6425.1
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
6370.9
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
6354.1
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
6327.2
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
6301.7
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
6295.6
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
6284.5
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
6265.5
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
6254.3
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
6161.4
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
6133.3
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
6131.8
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
6091.4
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
5966.4
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
5933.6
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
5928.1
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
5900.4
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
5877.6
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
5858.5
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
5844.0
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
5802.9
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
5782.4
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
5701.2
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
5607.0
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
5523.9
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
5520.9
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
5518.5
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
5502.7
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
5491.1
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
5434.0
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
5414.5
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
5396.2
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
5386.3
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
5330.9
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
5302.9
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
5296.8
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
5287.3
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
5270.7
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
5222.8
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
5218.5
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
5207.0
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
5118.7
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
5112.7
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
5098.3
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
5097.0
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
5089.2
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
5066.9
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
5036.3
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
5019.2
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
4979.9
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
4973.1
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
4890.1
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
4836.2
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
4822.0
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
4796.8
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
4789.5
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
4765.0
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
4728.3
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
4708.6
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
4652.2
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
4638.0
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
4624.8
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
4619.8
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
4598.1
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
4589.7
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
4570.8
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
4561.7
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
4553.0
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
4541.1
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
4538.9
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
4508.6
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
4500.5
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
4475.8
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
4468.1
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
4441.8
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
4436.3
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
4399.2
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
4387.1
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
4378.7
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
4357.7
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
4342.5
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
4327.4
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
4297.1
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
4278.4
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
4257.2
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
4254.0
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
4240.5
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
4232.7
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
4212.4
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
4165.4
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
4163.8
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
4162.4
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
4151.1
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
4124.8
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
4120.3
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
4113.7
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
4109.0
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
4096.1
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
4065.3
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
4027.9
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
4021.4
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
4003.8
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
4002.8
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
3953.1
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
3952.5
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
3895.4
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
3889.4
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
3880.7
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
3879.6
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
3864.0
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
3860.2
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
3843.2
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
3840.7
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
3820.6
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
3820.3
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
3818.8
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
3818.6
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
3798.8
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
3784.9
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
3773.1
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
3772.4
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
3767.9
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
3766.3
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
3756.4
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
3705.4
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
3698.6
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
3673.3
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
3652.1
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
3648.2
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
3636.8
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
3634.7
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
3628.6
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
3620.1
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
3613.8
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
3611.6
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
3607.9
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
3581.0
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
3578.5
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
3575.7
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
3530.5
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
3524.1
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
3508.6
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
3506.2
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
3505.1
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
3457.3
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
3455.9
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
3452.3
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
3445.6
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
3415.8
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
3402.4
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
3400.4
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
3332.2
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
3325.3
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
3320.5
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
3314.3
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
3306.4
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
3302.9
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
3293.9
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
3289.1
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
3268.8
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
3264.4
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
3263.1
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
3259.9
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
3243.0
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
3242.3
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
3237.1
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
3234.8
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
3232.9
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
3218.1
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
3163.1
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
3154.2
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
3125.9
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
3120.5
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
3114.4
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
3111.2
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
3102.8
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
3097.5
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
3076.5
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
3067.5
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
3062.8
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
3051.4
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
3046.7
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
3046.3
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
3021.8
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
2975.3
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
2947.8
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
2945.0
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
2919.5
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
2919.1
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
2902.4
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
2896.6
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
2893.9
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
2891.5
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
2877.8
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
2855.8
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
2854.2
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
2841.4
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
2826.2
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
2822.2
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
2817.8
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
2801.4
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
2800.2
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
2784.0
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
2783.9
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
2778.5
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
2741.9
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
2741.1
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
2736.3
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
2729.0
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
2694.1
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
2667.7
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
2659.3
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
2653.3
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
2651.7
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
2627.2
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
2609.8
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
2603.1
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
2585.4
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
2574.0
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
2561.6
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
2538.0
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
2532.7
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
2522.9
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
2506.5
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
2503.4
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
2500.7
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
2481.2
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
2456.0
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
2428.1
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
2417.8
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
2416.4
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
2393.2
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
2378.0
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
2366.1
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
2337.2
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
2333.2
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
2322.3
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
2318.5
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
2316.5
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
2309.1
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
2306.7
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
2278.0
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
2273.4
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
2263.0
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
2240.7
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
2238.3
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
2234.9
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
2214.1
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
2191.4
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
2188.0
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
2176.8
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
2167.1
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
2143.5
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
2138.1
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
2137.4
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
2135.4
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
2133.4
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
2130.0
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
2118.7
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
2115.1
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
2087.4
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
2072.3
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
2025.4
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
2020.2
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
2014.9
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
2008.5
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
1983.8
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
1969.0
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
1954.6
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
1936.6
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
1927.4
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
1912.5
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
1902.3
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
1887.2
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
1884.2
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
1862.9
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
1859.0
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
1834.1
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
1802.9
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
1800.1
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
1768.0
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
1765.9
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
1763.3
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
1748.9
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
1728.7
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
1697.3
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
1695.8
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
1685.9
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
1682.2
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
1680.5
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
1674.6
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
1615.4
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
1609.6
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
1603.3
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
1599.1
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
1588.3
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
1568.8
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
1567.4
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
1533.9
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
1494.8
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
1457.9
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
1332.7
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
1329.8
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
1306.0
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
1297.5
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
1268.9
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
1245.7
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
1222.6
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
1159.1
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
1113.1
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
1106.9
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
1097.7
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 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.
RPS10 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
2520.7
Number of samples
81
Samples
Sample
Description
pTPM
DO46390
65 years, female, NA, stage:III, dead, 374 days
7808.2
DO46576
75 years, female, NA, stage:III, alive, 133 days
5270.9
DO46611
52 years, female, NA, stage:III, dead, 734 days
5182.3
DO46356
68 years, female, NA, stage:III, dead, 911 days
4957.6
DO46333
58 years, female, NA, stage:III, dead, 359 days
4734.0
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
4523.9
DO46364
45 years, female, NA, stage:III, dead, 806 days
4334.2
DO46581
66 years, female, NA, stage:III, dead, 408 days
4311.9
DO46362
61 years, female, NA, stage:III, dead, 1639 days
3991.8
DO46338
59 years, female, NA, stage:III, dead, 596 days
3952.7
DO46328
52 years, female, NA, stage:III, dead, 972 days
3883.3
DO46453
66 years, female, NA, stage:III, dead, 3294 days
3878.9
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
3803.8
DO46366
65 years, female, NA, stage:III, dead, 2054 days
3629.6
DO46402
77 years, female, NA, stage:III, dead, 511 days
3610.0
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
3506.9
DO46352
60 years, female, NA, stage:III, dead, 677 days
3412.4
DO46404
55 years, female, NA, stage:III, dead, 690 days
3319.8
DO46443
59 years, female, NA, stage:III, dead, 2464 days
3129.1
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
3119.2
DO46400
70 years, female, NA, stage:III, dead, 719 days
3086.1
DO46370
54 years, female, NA, stage:III, dead, 1727 days
3013.4
DO46493
62 years, female, NA, stage:IV, alive, 839 days
3005.9
DO46392
48 years, female, NA, stage:III, dead, 628 days
2979.3
DO46380
51 years, female, NA, stage:III, dead, 1423 days
2893.4
DO46588
74 years, female, NA, stage:III, dead, 438 days
2883.0
DO46518
62 years, female, NA, stage:III, alive, 2960 days
2814.8
DO46384
55 years, female, NA, stage:III, dead, 614 days
2736.1
DO46586
55 years, female, NA, stage:III, dead, 1019 days
2710.8
DO46330
60 years, female, NA, stage:III, dead, 684 days
2625.9
DO46342
67 years, female, NA, stage:III, dead, 1398 days
2586.5
DO46334
77 years, female, NA, stage:III, dead, 496 days
2577.8
DO46463
49 years, female, NA, stage:III, dead, 2451 days
2572.2
DO46468
67 years, female, NA, stage:III, alive, 2776 days
2548.3
DO46571
61 years, female, NA, stage:III, dead, 243 days
2503.9
DO46566
78 years, female, NA, stage:III, dead, 673 days
2474.1
DO46508
50 years, female, NA, stage:III, dead, 2101 days
2449.5
DO46326
51 years, female, NA, stage:III, dead, 701 days
2406.4
DO46344
46 years, female, NA, stage:III, dead, 642 days
2331.6
DO46388
74 years, female, NA, stage:III, dead, 413 days
2321.8
DO46325
54 years, female, NA, stage:III, dead, 477 days
2320.2
DO46346
54 years, female, NA, stage:III, dead, 1187 days
2287.9
DO46408
56 years, female, NA, stage:III, dead, 489 days
2237.2
DO46560
45 years, female, NA, stage:IV, dead, 286 days
2190.3
DO46396
64 years, female, NA, stage:III, dead, 583 days
2180.4
DO46336
70 years, female, NA, stage:IV, dead, 664 days
2177.9
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
2130.0
DO46372
39 years, female, NA, stage:III, dead, 1326 days
2123.8
DO46331
72 years, female, NA, stage:III, dead, 612 days
2122.6
DO46378
59 years, female, NA, stage:III, alive, 843 days
2095.0
DO46368
57 years, female, NA, stage:III, dead, 2879 days
1957.8
DO46538
57 years, female, NA, stage:III, dead, 1527 days
1955.5
DO46568
66 years, female, NA, stage:III, dead, 320 days
1938.4
DO46350
66 years, female, NA, stage:III, dead, 886 days
1861.9
DO46591
58 years, female, NA, stage:III, dead, 195 days
1754.7
DO46329
52 years, female, NA, stage:III, dead, 1699 days
1719.3
DO46398
66 years, female, NA, stage:III, alive, 437 days
1686.9
DO46597
60 years, female, NA, stage:III, dead, 393 days
1669.0
DO46606
73 years, female, NA, stage:III, alive, 804 days
1655.8
DO46561
52 years, female, NA, stage:III, dead, 195 days
1545.2
DO46602
74 years, female, NA, stage:III, dead, 205 days
1513.4
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
1490.0
DO46412
64 years, female, NA, stage:III, dead, 597 days
1464.9
DO46374
69 years, female, NA, stage:III, dead, 1409 days
1450.2
DO46432
56 years, female, NA, stage:III, alive, 2218 days
1433.9
DO46358
60 years, female, NA, stage:III, dead, 423 days
1413.5
DO46348
58 years, female, NA, stage:IV, dead, 287 days
1403.8
DO46436
58 years, female, NA, stage:III, alive, 3193 days
1392.9
DO46382
62 years, female, NA, stage:IV, dead, 311 days
1359.9
DO46533
46 years, female, NA, stage:III, alive, 3667 days
1351.7
DO46340
62 years, female, NA, stage:III, dead, 616 days
1343.5
DO46528
56 years, female, NA, stage:III, alive, 6139 days
1307.8
DO46332
56 years, female, NA, stage:III, dead, 689 days
1307.4
DO46354
73 years, female, NA, stage:III, dead, 843 days
1240.4
DO46376
58 years, female, NA, stage:III, dead, 1430 days
1170.5
DO46448
45 years, female, NA, stage:III, dead, 654 days
1149.1
DO46386
49 years, female, NA, stage:III, dead, 1162 days
1143.4
DO46546
73 years, female, NA, stage:III, dead, 1889 days
1104.9
DO46551
58 years, female, NA, stage:III, dead, 1055 days
1087.5
DO46327
54 years, female, NA, stage:III, dead, 184 days
925.0
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
636.3
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
0.8
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
0.8
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
0.7
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
0.7
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
0.7
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
0.7
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
0.7
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
0.7
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
0.7
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
0.7
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
0.6
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
0.6
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
0.6
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
0.6
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
0.6
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
0.6
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
0.6
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
0.6
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
0.6
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
0.6
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
0.5
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
0.5
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
0.5
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
0.5
1a10c200-3895-4648-b951-94f99f_D2
Tumor
0.5
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
0.5
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
0.5
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
0.5
e9d416e7-f661-400a-896e-388545_D2
Tumor
0.5
161317f3-1a39-438e-af45-cd2502_D2
Tumor
0.5
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
0.4
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
0.4
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
0.4
1772e913-f62e-446a-8cf3-720348_D2
Tumor
0.4
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
0.4
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
0.4
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
0.4
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
0.4
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
0.4
15524912-685a-47ce-a824-567848_D2
Tumor
0.4
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
0.4
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
0.4
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
0.4
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
0.4
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
0.4
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
0.4
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
0.4
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
0.4
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
0.4
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
0.3
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
0.3
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
0.3
340a3769-3031-41ae-bb08-a2f696_D2
Normal
0.3
10c2d629-0287-4511-ac25-f29031_D2
Tumor
0.3
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
0.3
285fed94-1495-448e-879b-b55de9_D2
Tumor
0.3
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
0.3
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
0.3
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
0.3
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
0.2
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
0.2
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
0.2
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
0.2
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
0.2
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
0.2
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
0.2
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
0.2
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
0.2
a3a26070-fb84-406a-8280-d555e6_D2
Normal
0.2
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
0.2
21efd60f-6a31-4b98-9477-16a905_D2
Normal
0.2
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
0.2
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
0.2
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
0.2
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
0.1
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
0.1
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
0.1
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
0.1
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
0.0
2f901c90-617e-46da-9fac-d68369_D2
Tumor
0.0
a65d8e76-640f-4341-a561-afbb57_D2
Normal
0.0
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
0.0
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
0.0
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
0.0
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
0.0
1db5574d-aca7-403c-8100-6e705f_D2
Normal
0.0
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
0.0
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
-0.1
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
-0.1
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
-0.1
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
-0.1
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
-0.1
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-0.1
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
-0.1
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
-0.2
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
-0.2
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
-0.2
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
-0.2
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
-0.2
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
-0.2
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
-0.2
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
-0.3
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
-0.3
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
-0.3
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
-0.5
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
-0.7
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
-0.7
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
-0.7
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
