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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.
RPL37A 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 TPM
5672.1
Number of samples
349
Samples
Sample
Description
TPM
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
19061.1
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
18443.0
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
17179.6
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
16782.1
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
16497.6
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
16300.2
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
15790.4
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
14608.3
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
14452.2
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
13380.1
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
13257.8
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
12355.4
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
12334.8
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
11937.8
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
11881.2
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
11855.1
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
11820.1
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
11629.4
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
11571.8
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
11244.6
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
11202.0
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
11053.0
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
10953.7
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
10538.4
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
10369.2
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
10346.6
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
10300.1
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
10287.2
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
10252.7
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
10010.2
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
9920.7
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
9918.6
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
9877.5
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
9729.7
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
9688.6
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
9627.2
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
9536.9
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
9534.6
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
9521.9
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
9521.0
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
9387.1
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
9290.8
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
9264.5
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
9261.7
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
9070.9
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
9019.2
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
8994.7
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
8984.5
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
8913.9
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
8885.6
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
8859.8
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
8810.8
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
8788.4
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
8777.2
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
8565.0
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
8542.1
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
8469.3
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
8387.0
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
8296.3
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
8280.6
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
8263.4
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
8260.5
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
8208.4
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
8131.7
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
8130.8
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
8105.3
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
8058.8
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
8056.2
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
7927.1
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
7916.2
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
7871.4
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
7777.1
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
7693.8
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
7664.1
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
7562.3
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
7559.9
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
7511.7
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
7498.3
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
7453.3
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
7429.0
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
7394.6
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
7330.7
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
7280.7
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
7241.9
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
7199.9
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
7148.5
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
7114.1
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
7068.0
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
7040.8
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
7018.4
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
6917.1
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
6853.9
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
6817.5
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
6816.6
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
6698.0
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
6694.3
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
6632.4
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
6619.9
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
6564.3
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
6563.3
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
6517.8
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
6464.6
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
6463.1
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
6416.9
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
6403.2
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
6388.7
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
6362.2
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
6344.4
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
6341.6
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
6320.2
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
6317.6
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
6304.6
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
6259.7
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
6194.3
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
6132.9
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
6127.0
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
6062.7
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
6056.3
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
6027.5
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
6012.6
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
5988.5
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
5965.6
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
5914.1
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
5887.3
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
5803.3
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
5774.7
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
5769.3
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
5766.4
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
5763.1
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
5726.1
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
5703.2
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
5688.3
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
5684.4
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
5668.4
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
5663.3
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
5629.3
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
5611.9
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
5604.5
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
5588.2
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
5553.1
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
5552.8
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
5541.9
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
5501.4
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
5484.6
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
5445.6
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
5418.1
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
5417.7
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
5406.9
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
5401.9
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
5401.5
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
5398.1
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
5394.6
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
5389.2
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
5372.6
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
5356.8
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
5325.1
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
5225.1
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
5194.0
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
5147.9
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
5129.9
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
5129.3
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
5106.9
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
5095.4
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
5034.0
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
5002.8
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
4996.3
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
4989.3
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
4976.8
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
4897.6
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
4859.0
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
4854.2
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
4847.9
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
4834.8
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
4818.5
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
4791.1
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
4714.3
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
4699.9
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
4698.6
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
4695.8
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
4669.2
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
4658.2
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
4654.6
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
4645.6
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
4639.6
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
4635.8
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
4630.3
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
4578.2
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
4578.1
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
4576.8
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
4573.5
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
4565.6
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
4564.6
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
4553.3
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
4547.7
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
4540.2
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
4532.1
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
4521.3
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
4521.0
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
4481.4
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
4473.3
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
4472.8
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
4453.6
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
4438.1
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
4396.3
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
4391.0
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
4388.9
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
4388.3
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
4386.0
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
4370.1
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
4369.3
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
4362.6
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
4345.0
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
4343.0
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
4330.6
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
4312.5
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
4305.6
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
4304.1
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
4303.3
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
4279.7
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
4262.7
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
4257.9
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
4257.2
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
4245.1
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
4208.2
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
4204.2
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
4197.8
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
4160.5
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
4103.1
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
4045.9
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
4003.1
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
3984.7
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
3964.1
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
3935.6
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
3935.5
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
3931.8
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
3911.8
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
3902.8
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
3891.2
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
3838.0
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
3795.6
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
3782.8
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
3780.4
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
3770.9
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
3770.6
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
3770.3
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
3733.6
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
3679.1
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
3660.8
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
3657.0
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
3653.8
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
3635.9
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
3633.3
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
3611.7
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
3609.6
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
3607.9
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
3596.7
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
3582.7
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
3580.3
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
3546.1
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
3520.3
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
3510.3
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
3501.5
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
3491.1
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
3463.4
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
3461.9
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
3455.3
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
3449.3
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
3438.1
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
3388.5
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
3381.5
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
3378.7
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
3376.4
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
3372.5
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
3335.4
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
3332.0
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
3329.0
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
3327.1
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
3285.1
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
3284.0
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
3267.6
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
3249.3
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
3219.9
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
3210.5
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
3208.0
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
3204.5
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
3201.7
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
3168.2
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
3165.0
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
3164.2
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
3159.8
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
3122.0
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
3094.0
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
3085.8
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
3078.9
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
3068.7
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
3045.7
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
3022.7
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
3009.9
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
2975.2
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
2975.1
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
2968.8
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
2950.3
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
2933.7
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
2897.9
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
2890.6
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
2868.7
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
2847.0
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
2797.2
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
2762.7
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
2737.0
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
2717.6
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
2658.1
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
2645.7
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
2573.5
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
2559.3
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
2551.6
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
2521.0
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
2515.1
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
2507.7
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
2479.4
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
2463.0
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
2458.6
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
2455.1
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
2450.9
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
2436.8
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
2419.3
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
2386.5
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
2343.3
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
2330.7
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
2310.6
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
2302.5
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
2292.9
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
2290.8
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
2255.8
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
2202.4
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
2121.7
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
2120.7
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
2061.1
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
1987.6
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
1984.6
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
1908.3
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
1881.5
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
1814.8
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
1766.5
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
1549.9
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
1515.8
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
1114.9
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
1050.1
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 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.
RPL37A 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 TPM
4269.1
Number of samples
81
Samples
Sample
Description
TPM
DO46356
68 years, female, NA, stage:III, dead, 911 days
15213.3
DO46591
58 years, female, NA, stage:III, dead, 195 days
11059.5
DO46402
77 years, female, NA, stage:III, dead, 511 days
10043.5
DO46333
58 years, female, NA, stage:III, dead, 359 days
9766.3
DO46463
49 years, female, NA, stage:III, dead, 2451 days
8791.1
DO46370
54 years, female, NA, stage:III, dead, 1727 days
8562.0
DO46366
65 years, female, NA, stage:III, dead, 2054 days
8417.7
DO46342
67 years, female, NA, stage:III, dead, 1398 days
8075.2
DO46352
60 years, female, NA, stage:III, dead, 677 days
7656.7
DO46581
66 years, female, NA, stage:III, dead, 408 days
7554.5
DO46384
55 years, female, NA, stage:III, dead, 614 days
7484.4
DO46576
75 years, female, NA, stage:III, alive, 133 days
7138.0
DO46611
52 years, female, NA, stage:III, dead, 734 days
7055.7
DO46453
66 years, female, NA, stage:III, dead, 3294 days
6971.2
DO46338
59 years, female, NA, stage:III, dead, 596 days
6818.4
DO46390
65 years, female, NA, stage:III, dead, 374 days
6441.9
DO46328
52 years, female, NA, stage:III, dead, 972 days
6397.1
DO46380
51 years, female, NA, stage:III, dead, 1423 days
6287.8
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
5858.8
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
5616.9
DO46331
72 years, female, NA, stage:III, dead, 612 days
5607.3
DO46398
66 years, female, NA, stage:III, alive, 437 days
5404.1
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
5179.5
DO46586
55 years, female, NA, stage:III, dead, 1019 days
4935.3
DO46518
62 years, female, NA, stage:III, alive, 2960 days
4732.9
DO46334
77 years, female, NA, stage:III, dead, 496 days
4711.2
DO46561
52 years, female, NA, stage:III, dead, 195 days
4420.0
DO46528
56 years, female, NA, stage:III, alive, 6139 days
4272.7
DO46568
66 years, female, NA, stage:III, dead, 320 days
4182.4
DO46551
58 years, female, NA, stage:III, dead, 1055 days
4175.8
DO46493
62 years, female, NA, stage:IV, alive, 839 days
4078.7
DO46364
45 years, female, NA, stage:III, dead, 806 days
4076.1
DO46436
58 years, female, NA, stage:III, alive, 3193 days
4055.0
DO46330
60 years, female, NA, stage:III, dead, 684 days
3968.1
DO46392
48 years, female, NA, stage:III, dead, 628 days
3941.3
DO46388
74 years, female, NA, stage:III, dead, 413 days
3624.2
DO46443
59 years, female, NA, stage:III, dead, 2464 days
3557.9
DO46404
55 years, female, NA, stage:III, dead, 690 days
3556.6
DO46508
50 years, female, NA, stage:III, dead, 2101 days
3553.7
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
3400.6
DO46468
67 years, female, NA, stage:III, alive, 2776 days
3388.8
DO46408
56 years, female, NA, stage:III, dead, 489 days
3302.8
DO46597
60 years, female, NA, stage:III, dead, 393 days
3294.2
DO46386
49 years, female, NA, stage:III, dead, 1162 days
3248.0
DO46326
51 years, female, NA, stage:III, dead, 701 days
3181.2
DO46372
39 years, female, NA, stage:III, dead, 1326 days
3000.3
DO46566
78 years, female, NA, stage:III, dead, 673 days
2930.5
DO46362
61 years, female, NA, stage:III, dead, 1639 days
2924.6
DO46368
57 years, female, NA, stage:III, dead, 2879 days
2866.6
DO46325
54 years, female, NA, stage:III, dead, 477 days
2845.0
DO46448
45 years, female, NA, stage:III, dead, 654 days
2821.9
DO46350
66 years, female, NA, stage:III, dead, 886 days
2818.4
DO46412
64 years, female, NA, stage:III, dead, 597 days
2804.5
DO46533
46 years, female, NA, stage:III, alive, 3667 days
2725.0
DO46374
69 years, female, NA, stage:III, dead, 1409 days
2658.4
DO46400
70 years, female, NA, stage:III, dead, 719 days
2634.9
DO46538
57 years, female, NA, stage:III, dead, 1527 days
2624.6
DO46588
74 years, female, NA, stage:III, dead, 438 days
2624.4
DO46329
52 years, female, NA, stage:III, dead, 1699 days
2607.6
DO46378
59 years, female, NA, stage:III, alive, 843 days
2535.8
DO46606
73 years, female, NA, stage:III, alive, 804 days
2496.4
DO46354
73 years, female, NA, stage:III, dead, 843 days
2483.3
DO46358
60 years, female, NA, stage:III, dead, 423 days
2347.6
DO46396
64 years, female, NA, stage:III, dead, 583 days
2343.3
DO46546
73 years, female, NA, stage:III, dead, 1889 days
2339.0
DO46336
70 years, female, NA, stage:IV, dead, 664 days
2289.5
DO46602
74 years, female, NA, stage:III, dead, 205 days
2202.3
DO46560
45 years, female, NA, stage:IV, dead, 286 days
2056.6
DO46376
58 years, female, NA, stage:III, dead, 1430 days
2050.2
DO46340
62 years, female, NA, stage:III, dead, 616 days
2039.8
DO46432
56 years, female, NA, stage:III, alive, 2218 days
1997.5
DO46332
56 years, female, NA, stage:III, dead, 689 days
1870.0
DO46344
46 years, female, NA, stage:III, dead, 642 days
1817.9
DO46571
61 years, female, NA, stage:III, dead, 243 days
1782.3
DO46346
54 years, female, NA, stage:III, dead, 1187 days
1734.4
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
1730.0
DO46348
58 years, female, NA, stage:IV, dead, 287 days
1650.3
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
1634.3
DO46382
62 years, female, NA, stage:IV, dead, 311 days
1571.1
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
1519.2
DO46327
54 years, female, NA, stage:III, dead, 184 days
1361.9
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
1.4
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
1.3
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
1.3
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
1.1
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
1.1
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
1.1
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
1.1
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
1.0
161317f3-1a39-438e-af45-cd2502_D2
Tumor
1.0
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
1.0
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
1.0
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
1.0
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
1.0
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
0.9
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
0.9
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
0.9
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
0.9
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
0.9
15524912-685a-47ce-a824-567848_D2
Tumor
0.9
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
0.9
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
0.9
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
0.8
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
0.8
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
0.7
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
0.7
e9d416e7-f661-400a-896e-388545_D2
Tumor
0.7
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
0.7
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
0.7
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
0.6
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
0.6
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
0.6
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
0.6
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
0.6
285fed94-1495-448e-879b-b55de9_D2
Tumor
0.6
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
0.6
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
0.6
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
0.6
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
0.6
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
0.6
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
0.6
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
0.6
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
0.6
1772e913-f62e-446a-8cf3-720348_D2
Tumor
0.5
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
0.5
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
0.5
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
0.5
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
0.5
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
0.5
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
0.5
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
0.5
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
0.4
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
0.4
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
0.4
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
0.4
2f901c90-617e-46da-9fac-d68369_D2
Tumor
0.4
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
0.4
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
0.3
340a3769-3031-41ae-bb08-a2f696_D2
Normal
0.3
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
0.3
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
0.3
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
0.3
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
0.3
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
0.2
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
0.2
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
0.2
10c2d629-0287-4511-ac25-f29031_D2
Tumor
0.2
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
0.2
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
0.1
1a10c200-3895-4648-b951-94f99f_D2
Tumor
0.1
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
0.1
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
0.1
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
0.1
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
0.1
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
0.1
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
0.1
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
0.0
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
0.0
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
0.0
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
0.0
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
0.0
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
0.0
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
-0.1
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
-0.1
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
-0.1
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
-0.2
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
-0.2
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
-0.2
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
-0.3
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
-0.3
1db5574d-aca7-403c-8100-6e705f_D2
Normal
-0.3
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
-0.4
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
-0.4
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
-0.4
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
-0.5
a65d8e76-640f-4341-a561-afbb57_D2
Normal
-0.5
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-0.5
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
-0.6
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
-0.6
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-0.7
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
-0.7
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
-0.8
a3a26070-fb84-406a-8280-d555e6_D2
Normal
-0.8
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
-0.8
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
-0.8
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
-0.9
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
-1.0
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-1.0
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
-1.1
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
