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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.
RPLP2 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
4076.4
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
21993.2
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
13222.0
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
12599.3
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
12561.1
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
10887.4
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
10552.7
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
10481.9
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
10406.1
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
10178.6
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
9852.1
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
9618.8
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
9546.5
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
9389.8
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
9248.4
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
9185.9
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
8720.0
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
8526.7
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
8396.8
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
8205.2
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
8190.5
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
8099.9
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
7819.1
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
7770.7
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
7573.7
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
7523.6
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
7473.3
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
7383.0
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
7348.1
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
7119.5
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
7115.4
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
7088.1
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
7041.3
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
6906.6
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
6796.3
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
6779.4
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
6701.9
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
6674.4
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
6669.9
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
6620.3
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
6598.6
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
6594.9
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
6526.8
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
6394.0
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
6305.0
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
6274.4
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
6271.1
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
6257.7
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
6238.8
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
6221.5
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
6194.1
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
6187.8
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
6126.6
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
6057.7
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
5966.3
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
5859.7
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
5815.0
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
5800.0
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
5686.0
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
5685.5
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
5583.7
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
5581.8
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
5571.7
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
5488.8
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
5476.4
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
5455.8
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
5438.4
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
5425.6
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
5419.4
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
5396.0
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
5390.8
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
5327.8
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
5263.9
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
5134.5
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
5133.9
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
5128.4
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
5087.5
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
5084.8
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
5074.5
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
5067.0
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
5055.6
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
5052.3
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
5000.8
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
4991.9
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
4976.1
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
4939.1
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
4883.7
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
4866.1
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
4860.1
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
4840.4
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
4835.8
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
4782.5
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
4766.5
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
4758.1
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
4748.0
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
4684.3
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
4676.9
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
4634.9
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
4614.5
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
4611.1
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
4558.8
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
4556.8
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
4547.2
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
4525.0
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
4505.1
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
4496.7
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
4494.0
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
4486.6
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
4485.7
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
4451.7
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
4437.2
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
4417.7
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
4365.1
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
4354.1
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
4342.8
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
4327.2
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
4294.7
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
4277.4
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
4268.3
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
4258.0
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
4222.7
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
4219.6
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
4211.4
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
4206.2
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
4175.0
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
4164.4
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
4163.0
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
4139.0
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
4133.3
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
4133.1
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
4126.7
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
4125.6
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
4121.1
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
4120.8
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
4120.0
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
4080.6
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
4070.0
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
4055.4
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
4052.8
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
4044.2
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
4039.3
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
4022.7
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
4019.9
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
4007.8
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
3999.2
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
3999.1
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
3961.1
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
3952.3
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
3937.4
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
3912.9
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
3871.0
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
3836.1
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
3811.3
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
3807.4
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
3800.3
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
3792.0
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
3759.5
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
3748.4
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
3732.8
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
3679.0
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
3673.3
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
3662.8
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
3660.8
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
3640.7
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
3637.5
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
3571.9
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
3561.4
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
3548.4
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
3544.1
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
3535.9
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
3528.4
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
3521.7
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
3490.8
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
3476.7
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
3466.6
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
3456.5
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
3431.7
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
3429.5
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
3426.6
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
3414.9
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
3401.3
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
3395.1
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
3384.4
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
3346.2
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
3338.9
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
3325.1
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
3323.3
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
3298.7
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
3294.5
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
3280.8
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
3278.0
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
3274.3
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
3262.7
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
3258.9
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
3234.1
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
3203.4
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
3195.3
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
3182.5
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
3178.3
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
3167.6
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
3163.0
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
3156.5
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
3154.7
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
3141.0
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
3114.9
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
3109.2
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
3107.4
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
3100.7
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
3099.9
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
3098.8
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
3098.8
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
3093.1
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
3073.7
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
3063.2
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
3061.0
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
3058.7
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
3055.0
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
3051.0
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
3024.2
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
3016.5
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
2992.0
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
2988.4
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
2919.2
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
2908.9
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
2905.4
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
2904.5
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
2902.1
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
2894.6
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
2892.2
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
2887.3
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
2881.5
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
2876.4
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
2872.5
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
2867.8
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
2865.1
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
2862.9
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
2840.4
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
2836.1
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
2820.4
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
2812.8
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
2810.7
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
2808.4
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
2789.5
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
2778.8
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
2772.2
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
2759.2
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
2753.9
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
2751.9
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
2737.6
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
2727.6
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
2725.6
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
2715.9
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
2678.3
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
2669.8
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
2664.5
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
2662.2
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
2660.2
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
2654.8
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
2652.6
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
2649.7
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
2641.9
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
2623.8
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
2612.7
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
2606.0
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
2605.3
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
2598.2
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
2593.4
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
2582.0
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
2576.5
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
2576.1
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
2573.7
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
2567.3
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
2563.3
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
2538.3
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
2538.2
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
2530.1
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
2527.2
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
2524.6
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
2496.0
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
2488.6
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
2474.7
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
2464.1
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
2447.1
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
2435.7
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
2408.4
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
2351.3
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
2336.4
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
2325.4
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
2290.6
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
2278.6
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
2271.3
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
2268.3
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
2267.9
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
2232.5
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
2221.4
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
2190.8
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
2176.7
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
2156.1
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
2146.3
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
2144.4
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
2132.4
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
2127.8
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
2119.4
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
2105.7
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
2097.1
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
2094.3
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
2092.5
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
2083.1
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
2031.1
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
2013.1
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
2009.2
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
2005.7
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
2002.7
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
1998.5
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
1984.3
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
1983.5
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
1979.7
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
1968.4
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
1935.5
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
1928.3
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
1917.8
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
1907.1
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
1880.8
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
1876.9
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
1866.6
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
1863.8
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
1843.8
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
1843.7
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
1843.3
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
1824.5
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
1813.6
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
1799.6
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
1780.4
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
1725.2
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
1723.0
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
1720.8
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
1703.5
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
1688.1
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
1667.1
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
1663.6
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
1660.3
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
1630.9
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
1597.7
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
1582.2
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
1557.6
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
1554.8
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
1465.1
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
1424.2
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
1390.2
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 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.
RPLP2 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
1495.7
Number of samples
81
Samples
Sample
Description
pTPM
DO46611
52 years, female, NA, stage:III, dead, 734 days
9830.7
DO46576
75 years, female, NA, stage:III, alive, 133 days
6067.9
DO46356
68 years, female, NA, stage:III, dead, 911 days
4993.1
DO46366
65 years, female, NA, stage:III, dead, 2054 days
4449.6
DO46370
54 years, female, NA, stage:III, dead, 1727 days
4330.0
DO46333
58 years, female, NA, stage:III, dead, 359 days
3806.2
DO46342
67 years, female, NA, stage:III, dead, 1398 days
3584.3
DO46331
72 years, female, NA, stage:III, dead, 612 days
2849.9
DO46453
66 years, female, NA, stage:III, dead, 3294 days
2621.9
DO46384
55 years, female, NA, stage:III, dead, 614 days
2451.3
DO46591
58 years, female, NA, stage:III, dead, 195 days
2243.6
DO46568
66 years, female, NA, stage:III, dead, 320 days
2235.0
DO46390
65 years, female, NA, stage:III, dead, 374 days
2224.4
DO46581
66 years, female, NA, stage:III, dead, 408 days
2070.2
DO46364
45 years, female, NA, stage:III, dead, 806 days
2014.7
DO46362
61 years, female, NA, stage:III, dead, 1639 days
1930.7
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
1923.0
DO46566
78 years, female, NA, stage:III, dead, 673 days
1911.7
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
1812.6
DO46602
74 years, female, NA, stage:III, dead, 205 days
1786.0
DO46463
49 years, female, NA, stage:III, dead, 2451 days
1683.7
DO46538
57 years, female, NA, stage:III, dead, 1527 days
1615.3
DO46330
60 years, female, NA, stage:III, dead, 684 days
1567.9
DO46329
52 years, female, NA, stage:III, dead, 1699 days
1456.2
DO46561
52 years, female, NA, stage:III, dead, 195 days
1404.7
DO46586
55 years, female, NA, stage:III, dead, 1019 days
1377.8
DO46402
77 years, female, NA, stage:III, dead, 511 days
1315.5
DO46352
60 years, female, NA, stage:III, dead, 677 days
1219.7
DO46443
59 years, female, NA, stage:III, dead, 2464 days
1207.9
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
1181.8
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
1156.1
DO46518
62 years, female, NA, stage:III, alive, 2960 days
1145.4
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
1130.0
DO46328
52 years, female, NA, stage:III, dead, 972 days
1124.3
DO46358
60 years, female, NA, stage:III, dead, 423 days
1110.4
DO46392
48 years, female, NA, stage:III, dead, 628 days
1110.1
DO46468
67 years, female, NA, stage:III, alive, 2776 days
1106.4
DO46326
51 years, female, NA, stage:III, dead, 701 days
1090.9
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
1082.1
DO46412
64 years, female, NA, stage:III, dead, 597 days
1075.3
DO46338
59 years, female, NA, stage:III, dead, 596 days
1061.1
DO46346
54 years, female, NA, stage:III, dead, 1187 days
1006.2
DO46350
66 years, female, NA, stage:III, dead, 886 days
977.6
DO46376
58 years, female, NA, stage:III, dead, 1430 days
952.1
DO46551
58 years, female, NA, stage:III, dead, 1055 days
942.0
DO46597
60 years, female, NA, stage:III, dead, 393 days
925.3
DO46528
56 years, female, NA, stage:III, alive, 6139 days
917.1
DO46334
77 years, female, NA, stage:III, dead, 496 days
911.8
DO46372
39 years, female, NA, stage:III, dead, 1326 days
909.6
DO46388
74 years, female, NA, stage:III, dead, 413 days
909.4
DO46493
62 years, female, NA, stage:IV, alive, 839 days
892.6
DO46336
70 years, female, NA, stage:IV, dead, 664 days
882.5
DO46533
46 years, female, NA, stage:III, alive, 3667 days
830.2
DO46386
49 years, female, NA, stage:III, dead, 1162 days
830.1
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
808.3
DO46348
58 years, female, NA, stage:IV, dead, 287 days
807.2
DO46368
57 years, female, NA, stage:III, dead, 2879 days
781.7
DO46546
73 years, female, NA, stage:III, dead, 1889 days
781.4
DO46378
59 years, female, NA, stage:III, alive, 843 days
773.2
DO46404
55 years, female, NA, stage:III, dead, 690 days
761.4
DO46588
74 years, female, NA, stage:III, dead, 438 days
758.4
DO46508
50 years, female, NA, stage:III, dead, 2101 days
740.7
DO46396
64 years, female, NA, stage:III, dead, 583 days
727.5
DO46354
73 years, female, NA, stage:III, dead, 843 days
723.9
DO46344
46 years, female, NA, stage:III, dead, 642 days
703.3
DO46400
70 years, female, NA, stage:III, dead, 719 days
701.8
DO46560
45 years, female, NA, stage:IV, dead, 286 days
676.4
DO46398
66 years, female, NA, stage:III, alive, 437 days
669.8
DO46448
45 years, female, NA, stage:III, dead, 654 days
669.8
DO46327
54 years, female, NA, stage:III, dead, 184 days
662.9
DO46382
62 years, female, NA, stage:IV, dead, 311 days
655.7
DO46380
51 years, female, NA, stage:III, dead, 1423 days
621.1
DO46374
69 years, female, NA, stage:III, dead, 1409 days
613.4
DO46436
58 years, female, NA, stage:III, alive, 3193 days
609.0
DO46571
61 years, female, NA, stage:III, dead, 243 days
593.6
DO46408
56 years, female, NA, stage:III, dead, 489 days
573.9
DO46432
56 years, female, NA, stage:III, alive, 2218 days
558.6
DO46325
54 years, female, NA, stage:III, dead, 477 days
557.4
DO46606
73 years, female, NA, stage:III, alive, 804 days
494.4
DO46332
56 years, female, NA, stage:III, dead, 689 days
456.1
DO46340
62 years, female, NA, stage:III, dead, 616 days
429.7
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
e9d416e7-f661-400a-896e-388545_D2
Tumor
0.4
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
0.2
285fed94-1495-448e-879b-b55de9_D2
Tumor
0.1
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
0.0
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
0.0
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
-0.1
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
-0.1
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
-0.2
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
-0.2
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
-0.3
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
-0.3
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
-0.3
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
-0.3
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
-0.3
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
-0.4
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
-0.4
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
-0.4
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
-0.4
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
-0.4
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
-0.5
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
-0.5
10c2d629-0287-4511-ac25-f29031_D2
Tumor
-0.5
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
-0.5
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
-0.5
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
-0.6
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
-0.6
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
-0.6
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
-0.6
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
-0.6
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
-0.6
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
-0.6
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
-0.7
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
-0.7
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
-0.7
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
-0.7
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
-0.7
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
-0.7
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
-0.7
161317f3-1a39-438e-af45-cd2502_D2
Tumor
-0.8
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
-0.8
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
-0.8
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
-0.8
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
-0.8
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
-0.9
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
-0.9
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
-0.9
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
-0.9
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
-1.0
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
-1.0
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
-1.0
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
-1.0
15524912-685a-47ce-a824-567848_D2
Tumor
-1.0
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
-1.0
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
-1.0
340a3769-3031-41ae-bb08-a2f696_D2
Normal
-1.0
1772e913-f62e-446a-8cf3-720348_D2
Tumor
-1.1
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
-1.1
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
-1.1
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
-1.1
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
-1.1
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
-1.1
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-1.1
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-1.2
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
-1.2
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
-1.2
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
-1.2
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
-1.2
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
-1.2
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
-1.2
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
-1.3
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
-1.3
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
-1.3
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
-1.4
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
-1.4
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
-1.5
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
-1.5
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
-1.5
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
-1.5
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
-1.5
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
-1.5
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
-1.5
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
-1.5
a3a26070-fb84-406a-8280-d555e6_D2
Normal
-1.5
1a10c200-3895-4648-b951-94f99f_D2
Tumor
-1.6
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
-1.6
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
-1.6
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
-1.7
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
-1.7
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
-1.7
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
-1.7
a65d8e76-640f-4341-a561-afbb57_D2
Normal
-1.8
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
-1.8
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
-1.8
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
-1.9
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
-2.0
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
-2.0
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
-2.0
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
-2.0
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
-2.1
2f901c90-617e-46da-9fac-d68369_D2
Tumor
-2.1
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
-2.1
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-2.1
1db5574d-aca7-403c-8100-6e705f_D2
Normal
-2.2
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
-2.2
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
-2.4
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
-2.8
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
-3.0
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
-3.3
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
