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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.
RPL10 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
5561.1
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
19044.6
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
17625.4
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
15524.7
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
15354.6
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
13163.7
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
12791.4
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
12734.2
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
12594.8
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
12249.0
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
11931.4
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
11907.3
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
11819.1
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
11652.5
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
11629.3
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
11386.8
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
11366.6
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
11175.9
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
11151.4
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
11082.0
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
10810.6
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
10581.1
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
10532.7
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
10167.6
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
9920.8
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
9711.9
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
9633.9
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
9617.1
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
9471.3
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
9386.3
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
9338.8
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
9263.2
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
9243.3
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
8932.0
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
8909.0
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
8904.7
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
8861.6
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
8860.8
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
8777.8
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
8755.1
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
8548.1
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
8492.3
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
8407.3
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
8395.8
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
8252.5
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
8225.2
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
8164.9
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
8156.4
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
8130.5
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
8118.0
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
8093.0
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
8017.6
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
8007.8
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
7965.1
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
7944.6
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
7925.6
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
7918.9
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
7896.8
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
7824.2
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
7818.8
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
7817.9
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
7811.4
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
7771.9
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
7758.2
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
7754.6
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
7658.2
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
7530.5
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
7511.5
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
7508.3
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
7468.0
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
7459.2
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
7427.1
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
7424.3
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
7417.8
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
7399.7
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
7365.1
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
7361.2
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
7228.1
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
7201.0
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
7141.8
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
7111.5
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
7070.4
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
7061.0
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
7022.4
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
6949.3
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
6854.9
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
6840.2
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
6786.9
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
6703.3
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
6702.9
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
6698.1
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
6678.7
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
6667.7
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
6641.4
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
6638.8
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
6633.0
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
6592.6
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
6573.9
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
6572.9
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
6483.0
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
6448.4
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
6444.9
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
6377.4
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
6356.9
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
6314.5
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
6311.4
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
6304.2
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
6275.2
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
6270.8
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
6265.6
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
6192.6
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
6136.2
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
6114.9
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
6049.0
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
6043.8
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
6024.2
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
6017.1
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
6011.6
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
5954.7
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
5923.0
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
5901.2
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
5899.9
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
5898.2
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
5896.3
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
5869.3
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
5854.2
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
5759.7
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
5734.3
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
5724.1
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
5681.2
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
5675.6
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
5617.7
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
5593.3
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
5554.0
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
5552.5
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
5541.3
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
5540.7
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
5521.1
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
5493.7
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
5439.1
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
5435.2
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
5410.2
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
5389.6
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
5375.6
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
5356.0
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
5345.1
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
5322.3
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
5306.5
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
5207.2
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
5200.0
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
5169.1
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
5167.2
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
5117.5
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
5098.7
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
5087.2
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
5070.9
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
5061.0
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
5059.9
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
5057.8
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
5040.3
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
5014.0
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
5009.1
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
4998.7
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
4992.0
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
4988.5
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
4978.3
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
4977.6
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
4965.0
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
4958.9
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
4949.1
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
4944.8
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
4927.2
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
4916.4
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
4907.4
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
4901.9
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
4897.2
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
4883.4
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
4879.1
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
4867.0
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
4841.4
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
4836.7
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
4811.4
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
4805.8
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
4792.9
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
4739.5
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
4730.8
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
4714.7
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
4712.7
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
4705.4
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
4694.0
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
4670.0
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
4662.1
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
4617.1
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
4606.3
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
4589.4
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
4584.4
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
4582.9
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
4571.4
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
4571.0
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
4559.0
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
4535.5
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
4528.2
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
4516.8
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
4511.6
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
4476.6
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
4463.7
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
4442.0
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
4412.5
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
4405.5
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
4388.9
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
4387.5
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
4374.9
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
4357.6
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
4354.9
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
4338.2
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
4328.9
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
4325.4
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
4310.4
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
4308.8
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
4268.1
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
4257.1
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
4234.3
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
4227.2
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
4223.4
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
4219.2
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
4185.6
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
4184.6
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
4181.9
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
4180.9
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
4174.0
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
4173.3
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
4164.0
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
4154.4
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
4139.6
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
4133.5
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
4121.2
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
4098.0
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
4086.6
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
4086.0
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
4068.5
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
4060.4
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
4058.6
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
4049.5
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
4031.8
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
4026.2
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
4020.9
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
4004.0
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
4003.4
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
3996.9
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
3991.3
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
3990.6
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
3976.2
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
3970.0
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
3969.2
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
3965.6
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
3959.6
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
3927.3
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
3924.8
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
3868.7
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
3856.3
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
3853.6
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
3852.2
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
3837.3
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
3806.9
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
3765.3
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
3753.1
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
3729.0
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
3712.1
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
3698.0
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
3664.3
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
3654.9
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
3647.1
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
3642.9
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
3637.5
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
3636.2
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
3635.2
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
3631.8
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
3610.4
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
3578.2
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
3563.3
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
3547.3
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
3543.8
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
3511.0
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
3493.0
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
3489.1
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
3482.5
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
3480.7
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
3468.3
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
3467.9
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
3430.8
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
3416.6
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
3410.0
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
3356.2
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
3341.0
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
3334.5
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
3323.9
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
3292.3
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
3287.3
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
3277.3
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
3220.2
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
3219.3
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
3201.3
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
3200.7
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
3189.6
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
3183.4
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
3165.7
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
3145.1
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
3110.7
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
3091.1
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
3087.4
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
3084.7
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
3064.7
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
3030.5
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
3006.8
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
2997.0
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
2928.4
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
2890.5
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
2842.9
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
2830.3
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
2827.4
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
2790.1
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
2786.0
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
2740.5
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
2735.5
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
2718.5
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
2695.9
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
2689.1
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
2687.6
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
2662.8
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
2623.7
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
2619.2
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
2608.6
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
2537.2
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
2414.4
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
2388.0
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
2353.7
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
2328.8
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
2272.2
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
2225.6
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
2115.5
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
2110.2
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
2056.2
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
2040.1
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
1978.4
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
1963.3
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
1959.4
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
1772.6
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
1625.6
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
1537.0
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 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.
RPL10 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
4066.1
Number of samples
81
Samples
Sample
Description
pTPM
DO46586
55 years, female, NA, stage:III, dead, 1019 days
19765.6
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
10544.9
DO46384
55 years, female, NA, stage:III, dead, 614 days
8504.8
DO46364
45 years, female, NA, stage:III, dead, 806 days
7815.2
DO46518
62 years, female, NA, stage:III, alive, 2960 days
7350.3
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
6498.0
DO46551
58 years, female, NA, stage:III, dead, 1055 days
6489.1
DO46568
66 years, female, NA, stage:III, dead, 320 days
6285.5
DO46328
52 years, female, NA, stage:III, dead, 972 days
6227.6
DO46338
59 years, female, NA, stage:III, dead, 596 days
6023.8
DO46404
55 years, female, NA, stage:III, dead, 690 days
5892.8
DO46326
51 years, female, NA, stage:III, dead, 701 days
5854.1
DO46597
60 years, female, NA, stage:III, dead, 393 days
5588.3
DO46508
50 years, female, NA, stage:III, dead, 2101 days
5081.6
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
5030.4
DO46350
66 years, female, NA, stage:III, dead, 886 days
5016.5
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
4965.3
DO46366
65 years, female, NA, stage:III, dead, 2054 days
4811.6
DO46372
39 years, female, NA, stage:III, dead, 1326 days
4759.9
DO46370
54 years, female, NA, stage:III, dead, 1727 days
4759.5
DO46402
77 years, female, NA, stage:III, dead, 511 days
4716.6
DO46591
58 years, female, NA, stage:III, dead, 195 days
4542.3
DO46346
54 years, female, NA, stage:III, dead, 1187 days
4539.0
DO46400
70 years, female, NA, stage:III, dead, 719 days
4466.9
DO46533
46 years, female, NA, stage:III, alive, 3667 days
4448.8
DO46376
58 years, female, NA, stage:III, dead, 1430 days
4131.2
DO46538
57 years, female, NA, stage:III, dead, 1527 days
4061.7
DO46581
66 years, female, NA, stage:III, dead, 408 days
4006.3
DO46561
52 years, female, NA, stage:III, dead, 195 days
4000.7
DO46330
60 years, female, NA, stage:III, dead, 684 days
3998.2
DO46576
75 years, female, NA, stage:III, alive, 133 days
3908.4
DO46344
46 years, female, NA, stage:III, dead, 642 days
3810.4
DO46448
45 years, female, NA, stage:III, dead, 654 days
3783.7
DO46560
45 years, female, NA, stage:IV, dead, 286 days
3766.8
DO46354
73 years, female, NA, stage:III, dead, 843 days
3693.0
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
3635.3
DO46392
48 years, female, NA, stage:III, dead, 628 days
3615.7
DO46356
68 years, female, NA, stage:III, dead, 911 days
3561.0
DO46468
67 years, female, NA, stage:III, alive, 2776 days
3525.3
DO46386
49 years, female, NA, stage:III, dead, 1162 days
3481.5
DO46463
49 years, female, NA, stage:III, dead, 2451 days
3473.7
DO46388
74 years, female, NA, stage:III, dead, 413 days
3466.7
DO46588
74 years, female, NA, stage:III, dead, 438 days
3424.1
DO46333
58 years, female, NA, stage:III, dead, 359 days
3376.6
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
3371.1
DO46443
59 years, female, NA, stage:III, dead, 2464 days
3361.4
DO46378
59 years, female, NA, stage:III, alive, 843 days
3326.2
DO46390
65 years, female, NA, stage:III, dead, 374 days
3323.6
DO46325
54 years, female, NA, stage:III, dead, 477 days
3240.4
DO46374
69 years, female, NA, stage:III, dead, 1409 days
3227.9
DO46493
62 years, female, NA, stage:IV, alive, 839 days
3185.5
DO46408
56 years, female, NA, stage:III, dead, 489 days
3109.7
DO46329
52 years, female, NA, stage:III, dead, 1699 days
3031.9
DO46453
66 years, female, NA, stage:III, dead, 3294 days
3016.4
DO46606
73 years, female, NA, stage:III, alive, 804 days
3005.1
DO46368
57 years, female, NA, stage:III, dead, 2879 days
2941.2
DO46342
67 years, female, NA, stage:III, dead, 1398 days
2874.6
DO46334
77 years, female, NA, stage:III, dead, 496 days
2855.0
DO46382
62 years, female, NA, stage:IV, dead, 311 days
2849.9
DO46436
58 years, female, NA, stage:III, alive, 3193 days
2783.8
DO46566
78 years, female, NA, stage:III, dead, 673 days
2736.4
DO46396
64 years, female, NA, stage:III, dead, 583 days
2666.1
DO46331
72 years, female, NA, stage:III, dead, 612 days
2643.1
DO46546
73 years, female, NA, stage:III, dead, 1889 days
2616.9
DO46327
54 years, female, NA, stage:III, dead, 184 days
2602.2
DO46602
74 years, female, NA, stage:III, dead, 205 days
2533.7
DO46412
64 years, female, NA, stage:III, dead, 597 days
2531.4
DO46340
62 years, female, NA, stage:III, dead, 616 days
2526.5
DO46348
58 years, female, NA, stage:IV, dead, 287 days
2486.3
DO46398
66 years, female, NA, stage:III, alive, 437 days
2454.8
DO46432
56 years, female, NA, stage:III, alive, 2218 days
2403.4
DO46528
56 years, female, NA, stage:III, alive, 6139 days
2336.7
DO46571
61 years, female, NA, stage:III, dead, 243 days
2331.4
DO46380
51 years, female, NA, stage:III, dead, 1423 days
2308.1
DO46358
60 years, female, NA, stage:III, dead, 423 days
2228.8
DO46362
61 years, female, NA, stage:III, dead, 1639 days
2190.4
DO46332
56 years, female, NA, stage:III, dead, 689 days
2178.3
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
1995.6
DO46336
70 years, female, NA, stage:IV, dead, 664 days
1989.4
DO46352
60 years, female, NA, stage:III, dead, 677 days
1899.7
DO46611
52 years, female, NA, stage:III, dead, 734 days
1498.1
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
0.7
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
0.7
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
0.4
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
0.4
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
0.3
10c2d629-0287-4511-ac25-f29031_D2
Tumor
0.3
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
0.3
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
0.3
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
0.3
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
0.3
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
0.3
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
0.2
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
0.2
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
0.2
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
0.2
1772e913-f62e-446a-8cf3-720348_D2
Tumor
0.1
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
0.1
15524912-685a-47ce-a824-567848_D2
Tumor
0.1
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
0.1
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
0.1
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
0.1
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
0.1
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
0.1
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
0.1
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
0.0
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
0.0
285fed94-1495-448e-879b-b55de9_D2
Tumor
0.0
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
0.0
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
0.0
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
0.0
161317f3-1a39-438e-af45-cd2502_D2
Tumor
0.0
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
-0.1
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
-0.1
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
-0.1
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
-0.1
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
-0.1
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
-0.1
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
-0.1
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
-0.1
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
-0.1
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
-0.1
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
-0.1
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
-0.1
e9d416e7-f661-400a-896e-388545_D2
Tumor
-0.1
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
-0.1
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
-0.1
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
-0.1
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
-0.2
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
-0.2
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
-0.2
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
-0.2
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
-0.3
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
-0.3
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
-0.3
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
-0.3
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
-0.3
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
-0.3
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
-0.3
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
-0.3
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
-0.3
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
-0.3
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
-0.3
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
-0.4
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
-0.4
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
-0.4
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
-0.4
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
-0.4
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
-0.4
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
-0.4
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
-0.4
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
-0.4
a3a26070-fb84-406a-8280-d555e6_D2
Normal
-0.4
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
-0.4
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
-0.4
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
-0.4
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
-0.4
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
-0.4
1db5574d-aca7-403c-8100-6e705f_D2
Normal
-0.4
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
-0.5
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
-0.5
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-0.5
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
-0.5
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
-0.5
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
-0.5
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
-0.6
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
-0.6
1a10c200-3895-4648-b951-94f99f_D2
Tumor
-0.6
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
-0.6
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
-0.6
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
-0.6
2f901c90-617e-46da-9fac-d68369_D2
Tumor
-0.6
340a3769-3031-41ae-bb08-a2f696_D2
Normal
-0.6
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
-0.7
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
-0.7
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
-0.7
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
-0.7
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
-0.8
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
-0.8
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-0.8
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
-0.8
a65d8e76-640f-4341-a561-afbb57_D2
Normal
-0.8
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
-0.8
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
-0.8
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
-0.8
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
-0.8
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
-0.8
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
-1.0
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-1.0
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
