We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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 pTPM
7059.0
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
24636.8
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
22137.4
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
21027.6
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
20812.3
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
19952.8
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
19658.8
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
19048.9
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
17820.0
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
16999.3
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
16927.3
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
16476.9
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
15202.9
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
15077.4
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
14915.6
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
14856.5
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
14814.2
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
14518.9
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
14323.7
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
14095.8
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
14018.7
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
13856.2
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
13773.7
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
13700.8
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
13659.8
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
13599.1
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
13557.6
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
13238.7
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
13126.8
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
13080.8
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
12815.2
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
12772.4
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
12436.1
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
12405.7
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
12186.5
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
12182.0
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
11810.7
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
11733.3
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
11504.7
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
11488.8
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
11364.5
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
11343.9
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
11291.0
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
11278.2
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
11273.9
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
11172.1
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
11161.0
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
11050.1
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
11049.9
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
11045.9
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
11044.2
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
11009.4
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
10965.4
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
10948.6
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
10921.4
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
10910.7
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
10631.4
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
10566.9
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
10527.7
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
10470.9
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
10437.3
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
10313.5
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
10278.3
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
10266.0
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
10144.6
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
10118.8
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
10112.6
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
9983.3
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
9966.7
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
9936.7
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
9924.3
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
9892.0
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
9876.4
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
9788.0
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
9714.2
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
9655.6
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
9574.9
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
9437.9
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
9410.8
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
9316.5
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
9232.2
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
9183.9
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
9122.1
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
9118.8
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
9106.2
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
9056.5
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
9040.9
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
9022.0
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
9017.3
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
9006.0
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
8939.5
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
8938.9
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
8932.4
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
8676.5
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
8589.1
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
8552.4
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
8469.8
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
8399.7
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
8301.0
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
8269.2
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
8189.0
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
8159.9
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
8005.9
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
7983.1
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
7845.0
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
7834.3
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
7814.9
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
7787.8
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
7772.8
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
7678.6
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
7677.5
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
7665.7
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
7633.0
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
7578.6
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
7554.4
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
7550.1
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
7512.5
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
7496.4
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
7432.7
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
7427.1
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
7417.0
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
7380.0
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
7368.6
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
7356.5
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
7237.3
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
7199.8
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
7154.6
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
7126.4
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
7071.8
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
7067.8
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
7062.3
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
7061.0
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
6946.9
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
6918.7
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
6872.8
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
6864.9
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
6861.7
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
6850.6
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
6835.1
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
6828.8
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
6815.0
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
6813.9
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
6808.1
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
6785.0
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
6781.4
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
6779.6
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
6778.0
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
6765.2
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
6755.4
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
6726.5
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
6696.7
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
6686.2
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
6666.3
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
6648.6
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
6631.7
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
6615.5
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
6580.4
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
6556.7
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
6539.2
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
6523.3
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
6504.0
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
6496.0
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
6381.4
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
6351.8
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
6314.0
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
6309.0
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
6288.3
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
6264.6
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
6261.6
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
6245.6
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
6224.3
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
6201.4
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
6199.0
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
6186.9
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
6117.7
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
6079.7
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
6077.0
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
6067.2
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
5990.3
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
5953.3
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
5919.6
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
5909.0
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
5885.3
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
5871.6
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
5865.4
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
5797.4
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
5796.5
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
5765.8
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
5755.4
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
5744.7
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
5744.4
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
5741.1
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
5720.3
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
5677.2
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
5677.1
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
5668.8
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
5665.0
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
5586.4
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
5583.6
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
5577.8
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
5571.8
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
5567.5
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
5532.1
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
5528.9
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
5499.8
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
5497.2
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
5480.6
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
5463.0
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
5461.5
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
5457.6
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
5421.4
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
5389.8
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
5378.0
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
5377.6
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
5362.1
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
5359.1
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
5329.6
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
5329.0
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
5320.2
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
5308.7
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
5301.5
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
5289.6
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
5255.3
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
5237.4
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
5236.3
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
5200.2
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
5173.5
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
5157.6
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
5145.8
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
5130.8
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
5117.9
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
5109.3
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
5108.9
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
5099.9
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
5052.9
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
4966.1
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
4936.3
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
4898.9
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
4879.9
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
4848.7
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
4847.0
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
4841.0
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
4820.0
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
4795.1
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
4762.1
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
4757.1
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
4715.9
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
4671.0
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
4556.9
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
4540.4
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
4512.3
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
4500.2
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
4494.4
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
4482.4
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
4478.4
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
4469.5
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
4442.1
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
4441.2
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
4405.9
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
4390.4
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
4366.0
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
4352.7
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
4332.0
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
4328.2
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
4327.1
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
4300.2
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
4287.2
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
4275.1
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
4270.4
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
4249.8
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
4198.0
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
4195.7
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
4192.4
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
4190.2
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
4147.7
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
4085.5
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
4078.2
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
4077.9
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
4072.7
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
4061.5
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
4043.0
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
4034.4
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
4000.8
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
3982.4
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
3981.7
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
3981.1
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
3969.5
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
3968.2
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
3955.2
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
3944.0
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
3866.5
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
3848.6
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
3843.2
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
3822.3
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
3794.6
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
3786.3
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
3751.1
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
3731.4
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
3709.8
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
3686.8
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
3658.2
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
3643.3
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
3642.6
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
3624.1
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
3598.8
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
3532.3
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
3524.8
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
3511.3
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
3502.7
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
3420.9
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
3408.6
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
3407.1
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
3288.8
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
3264.7
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
3213.9
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
3149.0
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
3142.8
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
3141.4
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
3139.3
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
3128.2
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
3102.8
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
3090.5
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
3077.0
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
3069.7
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
2990.9
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
2980.4
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
2944.3
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
2941.3
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
2918.8
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
2882.4
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
2834.5
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
2781.1
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
2737.4
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
2736.9
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
2703.8
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
2644.6
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
2642.6
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
2628.7
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
2576.1
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
2498.9
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
2353.6
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
2345.4
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
2307.4
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
2254.9
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
2131.3
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
1948.2
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
1904.5
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
1371.4
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
1282.1
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 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 pTPM
4349.5
Number of samples
81
Samples
Sample
Description
pTPM
DO46356
68 years, female, NA, stage:III, dead, 911 days
15066.7
DO46463
49 years, female, NA, stage:III, dead, 2451 days
10105.5
DO46370
54 years, female, NA, stage:III, dead, 1727 days
10043.7
DO46591
58 years, female, NA, stage:III, dead, 195 days
9129.4
DO46402
77 years, female, NA, stage:III, dead, 511 days
9000.5
DO46333
58 years, female, NA, stage:III, dead, 359 days
8815.6
DO46338
59 years, female, NA, stage:III, dead, 596 days
8747.8
DO46328
52 years, female, NA, stage:III, dead, 972 days
8225.7
DO46611
52 years, female, NA, stage:III, dead, 734 days
8207.3
DO46384
55 years, female, NA, stage:III, dead, 614 days
8128.9
DO46581
66 years, female, NA, stage:III, dead, 408 days
7555.9
DO46390
65 years, female, NA, stage:III, dead, 374 days
6908.0
DO46342
67 years, female, NA, stage:III, dead, 1398 days
6098.8
DO46352
60 years, female, NA, stage:III, dead, 677 days
5969.1
DO46576
75 years, female, NA, stage:III, alive, 133 days
5812.5
DO46586
55 years, female, NA, stage:III, dead, 1019 days
5801.9
DO46453
66 years, female, NA, stage:III, dead, 3294 days
5646.3
DO46518
62 years, female, NA, stage:III, alive, 2960 days
5608.2
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
5607.5
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
5528.5
DO46366
65 years, female, NA, stage:III, dead, 2054 days
5461.7
DO46561
52 years, female, NA, stage:III, dead, 195 days
5379.5
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
5370.4
DO46334
77 years, female, NA, stage:III, dead, 496 days
5209.4
DO46331
72 years, female, NA, stage:III, dead, 612 days
5166.0
DO46568
66 years, female, NA, stage:III, dead, 320 days
5074.1
DO46330
60 years, female, NA, stage:III, dead, 684 days
4989.6
DO46398
66 years, female, NA, stage:III, alive, 437 days
4942.4
DO46380
51 years, female, NA, stage:III, dead, 1423 days
4711.9
DO46404
55 years, female, NA, stage:III, dead, 690 days
4617.2
DO46364
45 years, female, NA, stage:III, dead, 806 days
4535.4
DO46551
58 years, female, NA, stage:III, dead, 1055 days
4518.7
DO46508
50 years, female, NA, stage:III, dead, 2101 days
4402.9
DO46528
56 years, female, NA, stage:III, alive, 6139 days
4311.8
DO46443
59 years, female, NA, stage:III, dead, 2464 days
4200.4
DO46362
61 years, female, NA, stage:III, dead, 1639 days
4123.9
DO46408
56 years, female, NA, stage:III, dead, 489 days
4068.0
DO46326
51 years, female, NA, stage:III, dead, 701 days
4043.6
DO46597
60 years, female, NA, stage:III, dead, 393 days
3871.6
DO46392
48 years, female, NA, stage:III, dead, 628 days
3863.7
DO46533
46 years, female, NA, stage:III, alive, 3667 days
3860.7
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
3837.4
DO46588
74 years, female, NA, stage:III, dead, 438 days
3658.8
DO46388
74 years, female, NA, stage:III, dead, 413 days
3580.9
DO46566
78 years, female, NA, stage:III, dead, 673 days
3563.6
DO46493
62 years, female, NA, stage:IV, alive, 839 days
3450.4
DO46436
58 years, female, NA, stage:III, alive, 3193 days
3393.2
DO46468
67 years, female, NA, stage:III, alive, 2776 days
3192.3
DO46606
73 years, female, NA, stage:III, alive, 804 days
3190.6
DO46538
57 years, female, NA, stage:III, dead, 1527 days
3136.1
DO46400
70 years, female, NA, stage:III, dead, 719 days
2959.0
DO46448
45 years, female, NA, stage:III, dead, 654 days
2946.7
DO46325
54 years, female, NA, stage:III, dead, 477 days
2837.3
DO46386
49 years, female, NA, stage:III, dead, 1162 days
2826.8
DO46329
52 years, female, NA, stage:III, dead, 1699 days
2814.4
DO46354
73 years, female, NA, stage:III, dead, 843 days
2774.7
DO46378
59 years, female, NA, stage:III, alive, 843 days
2634.1
DO46368
57 years, female, NA, stage:III, dead, 2879 days
2457.9
DO46396
64 years, female, NA, stage:III, dead, 583 days
2442.4
DO46372
39 years, female, NA, stage:III, dead, 1326 days
2309.0
DO46340
62 years, female, NA, stage:III, dead, 616 days
2290.9
DO46336
70 years, female, NA, stage:IV, dead, 664 days
2253.7
DO46560
45 years, female, NA, stage:IV, dead, 286 days
2235.8
DO46358
60 years, female, NA, stage:III, dead, 423 days
2200.0
DO46546
73 years, female, NA, stage:III, dead, 1889 days
2168.0
DO46346
54 years, female, NA, stage:III, dead, 1187 days
2120.7
DO46376
58 years, female, NA, stage:III, dead, 1430 days
2102.6
DO46348
58 years, female, NA, stage:IV, dead, 287 days
2097.3
DO46374
69 years, female, NA, stage:III, dead, 1409 days
2096.7
DO46350
66 years, female, NA, stage:III, dead, 886 days
2076.2
DO46382
62 years, female, NA, stage:IV, dead, 311 days
2058.5
DO46412
64 years, female, NA, stage:III, dead, 597 days
2041.8
DO46344
46 years, female, NA, stage:III, dead, 642 days
2028.2
DO46602
74 years, female, NA, stage:III, dead, 205 days
1995.7
DO46332
56 years, female, NA, stage:III, dead, 689 days
1950.4
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
1859.6
DO46571
61 years, female, NA, stage:III, dead, 243 days
1816.7
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
1796.3
DO46327
54 years, female, NA, stage:III, dead, 184 days
1624.8
DO46432
56 years, female, NA, stage:III, alive, 2218 days
1562.5
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
1198.2
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
