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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.
RPS2 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
3988.6
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
18869.2
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
14858.4
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
10310.3
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
9941.5
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
9883.3
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
9880.2
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
9111.0
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
8653.0
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
8558.1
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
8509.3
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
8262.4
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
8199.8
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
8144.9
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
8027.2
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
8024.6
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
7952.0
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
7585.1
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
7574.0
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
7479.2
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
7196.0
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
7191.4
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
7113.2
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
7060.4
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
7021.9
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
7017.4
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
7014.5
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
6994.1
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
6991.4
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
6990.2
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
6907.2
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
6783.5
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
6758.3
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
6682.3
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
6651.0
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
6608.4
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
6353.5
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
6349.1
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
6345.8
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
6334.4
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
6327.0
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
6299.8
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
6288.1
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
6277.4
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
6240.0
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
6225.5
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
6143.3
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
6065.4
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
5997.0
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
5991.3
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
5922.4
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
5904.1
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
5894.0
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
5784.3
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
5747.7
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
5745.4
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
5725.2
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
5691.4
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
5562.1
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
5465.0
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
5456.7
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
5392.4
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
5386.0
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
5277.8
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
5224.8
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
5209.4
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
5206.9
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
5187.8
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
5094.9
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
5086.7
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
5071.3
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
5057.2
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
5010.8
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
5007.2
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
5005.1
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
4978.0
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
4937.1
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
4895.7
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
4884.7
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
4878.7
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
4862.0
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
4858.3
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
4848.2
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
4817.2
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
4799.1
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
4727.2
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
4710.3
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
4680.4
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
4660.8
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
4591.2
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
4544.1
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
4535.6
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
4533.6
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
4525.2
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
4519.7
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
4473.6
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
4458.7
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
4443.3
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
4435.3
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
4433.4
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
4429.3
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
4411.9
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
4394.4
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
4389.2
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
4379.9
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
4357.4
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
4348.2
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
4345.9
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
4333.9
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
4332.5
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
4304.4
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
4299.5
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
4293.1
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
4291.2
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
4287.1
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
4281.6
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
4262.4
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
4246.6
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
4245.8
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
4219.4
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
4212.5
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
4196.1
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
4139.8
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
4116.0
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
4105.4
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
4101.3
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
4091.8
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
4087.7
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
4080.7
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
4043.6
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
4028.0
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
4021.5
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
4001.2
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
3992.4
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
3983.3
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
3982.5
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
3972.9
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
3948.5
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
3945.1
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
3907.8
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
3905.7
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
3872.2
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
3871.1
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
3870.2
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
3863.6
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
3851.2
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
3846.5
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
3845.1
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
3843.1
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
3821.9
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
3812.6
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
3808.7
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
3807.6
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
3792.6
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
3792.1
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
3773.1
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
3772.7
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
3763.5
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
3754.8
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
3751.6
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
3743.4
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
3732.6
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
3727.8
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
3718.8
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
3713.8
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
3705.6
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
3701.3
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
3680.3
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
3671.4
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
3658.7
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
3658.2
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
3632.6
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
3629.0
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
3614.6
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
3599.9
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
3589.6
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
3589.2
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
3576.7
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
3572.8
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
3567.0
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
3563.1
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
3555.2
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
3538.4
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
3524.9
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
3508.8
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
3500.9
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
3499.0
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
3469.6
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
3468.8
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
3466.1
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
3463.0
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
3428.0
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
3396.7
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
3395.3
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
3385.6
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
3377.7
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
3375.8
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
3372.5
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
3365.6
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
3363.7
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
3362.4
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
3360.6
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
3358.5
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
3357.7
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
3357.2
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
3352.0
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
3350.0
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
3329.4
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
3324.6
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
3320.4
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
3318.5
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
3306.0
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
3297.3
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
3281.3
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
3254.7
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
3243.3
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
3211.6
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
3192.4
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
3185.2
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
3155.8
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
3144.1
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
3138.1
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
3117.4
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
3107.4
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
3103.4
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
3053.5
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
3053.2
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
3046.3
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
3031.9
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
3010.9
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
3002.2
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
2997.6
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
2996.2
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
2976.5
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
2969.0
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
2957.0
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
2951.1
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
2935.0
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
2915.5
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
2911.1
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
2896.9
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
2876.6
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
2835.2
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
2832.3
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
2816.0
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
2813.0
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
2797.2
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
2790.1
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
2789.8
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
2788.2
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
2777.7
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
2774.4
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
2745.3
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
2706.9
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
2705.4
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
2702.9
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
2695.0
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
2677.8
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
2650.3
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
2649.0
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
2637.8
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
2633.9
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
2618.4
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
2599.9
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
2587.2
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
2572.9
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
2558.1
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
2558.0
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
2547.2
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
2543.0
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
2536.3
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
2529.6
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
2519.9
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
2516.4
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
2506.6
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
2499.8
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
2496.9
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
2488.4
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
2477.6
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
2473.7
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
2467.3
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
2465.2
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
2463.0
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
2445.2
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
2430.8
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
2413.5
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
2405.3
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
2396.5
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
2374.0
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
2365.5
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
2353.4
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
2339.6
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
2338.8
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
2319.4
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
2307.3
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
2307.3
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
2300.5
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
2291.2
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
2290.2
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
2279.2
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
2256.6
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
2248.7
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
2242.5
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
2237.4
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
2228.3
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
2218.1
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
2215.2
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
2207.1
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
2195.9
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
2176.0
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
2174.0
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
2168.4
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
2166.8
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
2148.5
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
2146.1
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
2145.2
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
2130.0
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
2116.1
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
2096.5
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
2071.0
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
2050.4
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
2043.7
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
2014.1
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
2005.5
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
2004.1
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
1999.1
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
1986.9
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
1951.0
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
1945.9
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
1918.2
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
1873.3
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
1840.1
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
1822.8
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
1814.4
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
1811.3
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
1713.3
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
1707.4
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
1690.8
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
1683.2
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
1678.9
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
1672.1
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
1643.8
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
1596.9
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
1506.4
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
1504.9
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
1483.0
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
1475.9
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
1471.3
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
1262.7
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 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.
RPS2 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
2971.2
Number of samples
81
Samples
Sample
Description
pTPM
DO46356
68 years, female, NA, stage:III, dead, 911 days
9026.0
DO46364
45 years, female, NA, stage:III, dead, 806 days
6738.9
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
6413.5
DO46538
57 years, female, NA, stage:III, dead, 1527 days
6036.4
DO46333
58 years, female, NA, stage:III, dead, 359 days
5787.1
DO46338
59 years, female, NA, stage:III, dead, 596 days
5726.4
DO46384
55 years, female, NA, stage:III, dead, 614 days
5422.2
DO46331
72 years, female, NA, stage:III, dead, 612 days
5265.9
DO46518
62 years, female, NA, stage:III, alive, 2960 days
4940.7
DO46390
65 years, female, NA, stage:III, dead, 374 days
4685.2
DO46370
54 years, female, NA, stage:III, dead, 1727 days
4538.0
DO46402
77 years, female, NA, stage:III, dead, 511 days
4283.7
DO46561
52 years, female, NA, stage:III, dead, 195 days
4146.9
DO46533
46 years, female, NA, stage:III, alive, 3667 days
4010.1
DO46326
51 years, female, NA, stage:III, dead, 701 days
3980.6
DO46376
58 years, female, NA, stage:III, dead, 1430 days
3916.3
DO46568
66 years, female, NA, stage:III, dead, 320 days
3866.5
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
3760.0
DO46546
73 years, female, NA, stage:III, dead, 1889 days
3646.2
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
3527.4
DO46597
60 years, female, NA, stage:III, dead, 393 days
3483.3
DO46404
55 years, female, NA, stage:III, dead, 690 days
3467.3
DO46344
46 years, female, NA, stage:III, dead, 642 days
3419.5
DO46388
74 years, female, NA, stage:III, dead, 413 days
3338.8
DO46588
74 years, female, NA, stage:III, dead, 438 days
3316.2
DO46463
49 years, female, NA, stage:III, dead, 2451 days
3314.1
DO46560
45 years, female, NA, stage:IV, dead, 286 days
3291.9
DO46443
59 years, female, NA, stage:III, dead, 2464 days
3147.9
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
3116.5
DO46334
77 years, female, NA, stage:III, dead, 496 days
3092.4
DO46348
58 years, female, NA, stage:IV, dead, 287 days
3074.2
DO46362
61 years, female, NA, stage:III, dead, 1639 days
3054.3
DO46408
56 years, female, NA, stage:III, dead, 489 days
3036.5
DO46576
75 years, female, NA, stage:III, alive, 133 days
2801.3
DO46581
66 years, female, NA, stage:III, dead, 408 days
2794.6
DO46342
67 years, female, NA, stage:III, dead, 1398 days
2777.9
DO46508
50 years, female, NA, stage:III, dead, 2101 days
2748.2
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
2731.1
DO46386
49 years, female, NA, stage:III, dead, 1162 days
2691.6
DO46329
52 years, female, NA, stage:III, dead, 1699 days
2681.5
DO46368
57 years, female, NA, stage:III, dead, 2879 days
2622.6
DO46400
70 years, female, NA, stage:III, dead, 719 days
2611.0
DO46468
67 years, female, NA, stage:III, alive, 2776 days
2594.8
DO46398
66 years, female, NA, stage:III, alive, 437 days
2523.4
DO46325
54 years, female, NA, stage:III, dead, 477 days
2523.3
DO46551
58 years, female, NA, stage:III, dead, 1055 days
2485.8
DO46591
58 years, female, NA, stage:III, dead, 195 days
2438.5
DO46328
52 years, female, NA, stage:III, dead, 972 days
2389.3
DO46352
60 years, female, NA, stage:III, dead, 677 days
2368.6
DO46374
69 years, female, NA, stage:III, dead, 1409 days
2257.3
DO46372
39 years, female, NA, stage:III, dead, 1326 days
2215.7
DO46586
55 years, female, NA, stage:III, dead, 1019 days
2215.0
DO46453
66 years, female, NA, stage:III, dead, 3294 days
2208.5
DO46392
48 years, female, NA, stage:III, dead, 628 days
2095.2
DO46380
51 years, female, NA, stage:III, dead, 1423 days
2059.3
DO46412
64 years, female, NA, stage:III, dead, 597 days
2011.7
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
1966.9
DO46358
60 years, female, NA, stage:III, dead, 423 days
1962.8
DO46571
61 years, female, NA, stage:III, dead, 243 days
1921.4
DO46382
62 years, female, NA, stage:IV, dead, 311 days
1913.9
DO46493
62 years, female, NA, stage:IV, alive, 839 days
1892.8
DO46346
54 years, female, NA, stage:III, dead, 1187 days
1873.9
DO46528
56 years, female, NA, stage:III, alive, 6139 days
1867.8
DO46448
45 years, female, NA, stage:III, dead, 654 days
1848.2
DO46366
65 years, female, NA, stage:III, dead, 2054 days
1835.4
DO46354
73 years, female, NA, stage:III, dead, 843 days
1832.9
DO46340
62 years, female, NA, stage:III, dead, 616 days
1802.7
DO46566
78 years, female, NA, stage:III, dead, 673 days
1771.7
DO46330
60 years, female, NA, stage:III, dead, 684 days
1758.9
DO46378
59 years, female, NA, stage:III, alive, 843 days
1757.4
DO46436
58 years, female, NA, stage:III, alive, 3193 days
1734.1
DO46611
52 years, female, NA, stage:III, dead, 734 days
1658.0
DO46396
64 years, female, NA, stage:III, dead, 583 days
1639.6
DO46327
54 years, female, NA, stage:III, dead, 184 days
1621.4
DO46336
70 years, female, NA, stage:IV, dead, 664 days
1620.9
DO46432
56 years, female, NA, stage:III, alive, 2218 days
1580.5
DO46332
56 years, female, NA, stage:III, dead, 689 days
1530.5
DO46606
73 years, female, NA, stage:III, alive, 804 days
1265.7
DO46350
66 years, female, NA, stage:III, dead, 886 days
1165.4
DO46602
74 years, female, NA, stage:III, dead, 205 days
1127.0
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
1004.6
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
0.8
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
0.8
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
0.8
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
0.7
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
0.7
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
0.6
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
0.6
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
0.6
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
0.5
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
0.5
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
0.4
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
0.4
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
0.4
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
0.3
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
0.3
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
0.3
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
0.3
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
0.3
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
0.2
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
0.2
161317f3-1a39-438e-af45-cd2502_D2
Tumor
0.2
285fed94-1495-448e-879b-b55de9_D2
Tumor
0.2
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
0.2
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
0.2
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
0.2
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
0.1
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
0.1
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
0.1
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
0.1
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
0.1
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
0.0
1a10c200-3895-4648-b951-94f99f_D2
Tumor
0.0
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
0.0
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
N/A
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
0.0
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
0.0
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
0.0
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
0.0
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
0.0
15524912-685a-47ce-a824-567848_D2
Tumor
0.0
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
0.0
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
-0.1
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
-0.1
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
-0.1
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
-0.1
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
-0.1
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
-0.1
e9d416e7-f661-400a-896e-388545_D2
Tumor
-0.1
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
-0.1
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
-0.1
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
-0.1
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
-0.2
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
-0.2
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
-0.2
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
-0.2
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
-0.2
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
-0.2
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
-0.3
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
-0.3
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
-0.3
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
-0.3
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
-0.3
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
-0.3
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
-0.3
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
-0.3
1772e913-f62e-446a-8cf3-720348_D2
Tumor
-0.4
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-0.4
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
-0.4
2f901c90-617e-46da-9fac-d68369_D2
Tumor
-0.4
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
-0.4
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
-0.4
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
-0.4
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
-0.4
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
-0.4
340a3769-3031-41ae-bb08-a2f696_D2
Normal
-0.5
1db5574d-aca7-403c-8100-6e705f_D2
Normal
-0.5
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
-0.5
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
-0.5
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
-0.5
a65d8e76-640f-4341-a561-afbb57_D2
Normal
-0.5
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
-0.5
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
-0.5
10c2d629-0287-4511-ac25-f29031_D2
Tumor
-0.6
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
-0.6
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
-0.6
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
-0.6
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
-0.6
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
-0.6
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
-0.6
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
-0.6
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
-0.6
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-0.6
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
-0.6
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-0.7
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
-0.7
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
-0.7
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
-0.7
a3a26070-fb84-406a-8280-d555e6_D2
Normal
-0.7
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
-0.7
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
-0.8
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
-0.8
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
-0.8
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
-0.9
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
-0.9
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
-0.9
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
-1.3
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
-1.3
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
-1.4
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
