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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.
RPL30 is not prognostic in Ovary Serous Cystadenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
4092.8
Number of samples
349
Samples
Sample
Description
TPM
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
19355.4
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
13457.3
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
13021.5
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
12513.9
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
10821.1
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
10043.3
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
9668.6
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
8924.9
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
8542.1
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
8460.6
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
8437.0
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
8382.1
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
8306.2
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
8153.0
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
8126.6
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
8113.4
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
7912.3
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
7844.0
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
7681.1
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
7566.4
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
7197.8
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
7170.2
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
7157.1
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
7126.4
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
7006.9
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
6963.2
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
6942.8
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
6857.9
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
6671.8
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
6550.4
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
6517.4
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
6506.9
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
6475.9
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
6391.6
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
6350.4
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
6319.6
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
6315.0
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
6264.8
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
6241.0
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
6224.2
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
6196.8
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
6162.1
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
6146.2
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
6119.0
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
6110.9
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
5952.4
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
5893.5
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
5825.2
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
5816.7
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
5806.5
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
5758.8
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
5738.0
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
5726.6
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
5701.6
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
5643.3
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
5629.4
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
5624.8
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
5623.5
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
5567.1
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
5532.0
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
5501.9
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
5500.8
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
5479.3
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
5453.9
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
5440.3
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
5429.8
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
5428.8
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
5409.7
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
5369.6
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
5331.1
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
5309.9
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
5300.2
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
5286.0
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
5264.8
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
5252.0
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
5247.0
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
5190.0
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
5155.3
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
5149.1
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
5131.2
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
5114.1
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
5108.0
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
5101.3
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
5100.1
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
5041.9
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
5029.5
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
5021.2
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
4949.6
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
4940.1
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
4908.6
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
4881.7
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
4860.0
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
4849.7
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
4844.9
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
4844.8
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
4804.8
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
4800.5
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
4761.9
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
4760.3
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
4759.0
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
4748.9
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
4744.0
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
4719.9
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
4688.8
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
4686.9
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
4672.0
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
4657.5
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
4649.8
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
4642.7
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
4630.2
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
4614.1
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
4613.5
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
4559.4
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
4547.0
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
4543.3
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
4535.8
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
4533.5
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
4502.8
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
4455.3
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
4446.2
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
4426.3
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
4423.9
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
4376.5
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
4343.0
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
4325.6
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
4311.0
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
4299.8
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
4284.4
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
4272.8
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
4266.1
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
4260.9
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
4255.6
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
4241.8
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
4241.6
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
4239.6
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
4200.6
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
4197.7
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
4192.7
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
4182.1
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
4181.4
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
4180.2
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
4160.6
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
4151.3
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
4121.3
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
4085.6
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
4084.5
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
4077.9
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
4065.9
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
4065.6
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
4064.3
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
4060.9
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
4060.0
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
4051.1
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
4048.4
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
4045.4
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
4041.1
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
4038.7
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
3991.6
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
3978.9
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
3966.1
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
3923.3
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
3911.6
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
3893.6
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
3875.0
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
3863.8
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
3847.3
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
3830.8
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
3827.2
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
3826.9
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
3824.7
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
3814.1
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
3813.5
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
3782.1
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
3778.9
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
3754.9
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
3734.2
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
3733.2
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
3709.2
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
3708.1
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
3654.8
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
3652.4
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
3639.0
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
3635.4
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
3596.5
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
3579.7
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
3563.7
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
3539.2
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
3520.9
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
3499.7
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
3461.6
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
3457.6
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
3451.3
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
3447.8
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
3406.8
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
3405.9
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
3404.9
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
3402.2
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
3397.2
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
3391.4
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
3384.8
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
3384.0
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
3376.4
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
3366.1
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
3365.0
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
3359.6
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
3357.2
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
3342.3
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
3341.4
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
3340.3
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
3326.7
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
3319.9
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
3316.0
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
3314.2
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
3300.5
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
3292.2
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
3285.4
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
3283.2
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
3283.2
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
3282.0
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
3252.7
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
3251.8
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
3240.8
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
3229.5
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
3218.7
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
3203.9
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
3189.6
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
3187.3
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
3154.1
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
3153.0
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
3135.5
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
3133.9
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
3126.2
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
3091.3
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
3072.6
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
3068.7
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
3065.7
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
3019.6
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
3013.8
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
2999.0
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
2993.7
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
2987.5
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
2983.5
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
2971.7
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
2952.6
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
2950.6
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
2927.7
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
2922.7
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
2905.1
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
2901.3
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
2899.2
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
2885.5
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
2877.9
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
2876.4
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
2847.8
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
2831.6
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
2791.7
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
2775.3
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
2767.5
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
2756.4
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
2743.3
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
2719.2
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
2713.1
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
2679.5
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
2678.0
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
2677.6
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
2649.9
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
2622.8
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
2612.1
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
2605.5
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
2604.1
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
2584.9
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
2580.6
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
2576.9
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
2554.4
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
2527.5
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
2515.1
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
2494.6
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
2484.8
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
2471.3
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
2439.3
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
2431.8
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
2411.4
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
2406.8
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
2393.0
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
2382.6
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
2331.7
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
2320.0
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
2310.0
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
2292.9
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
2275.6
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
2263.4
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
2250.0
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
2236.3
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
2231.2
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
2219.9
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
2217.3
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
2215.7
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
2191.8
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
2185.0
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
2173.0
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
2172.1
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
2170.9
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
2138.4
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
2133.3
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
2127.1
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
2106.6
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
2095.0
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
2094.1
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
2089.7
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
2072.9
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
2071.1
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
2020.1
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
2016.4
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
2015.5
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
2006.8
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
1969.5
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
1962.6
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
1961.9
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
1956.4
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
1921.1
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
1907.9
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
1898.0
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
1872.9
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
1871.0
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
1869.9
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
1862.7
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
1855.6
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
1851.9
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
1848.5
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
1824.5
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
1806.4
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
1791.0
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
1767.5
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
1701.1
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
1688.7
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
1678.2
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
1673.2
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
1665.5
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
1649.4
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
1633.5
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
1585.3
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
1464.2
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
1462.4
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
1443.6
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
1435.8
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
1418.4
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
1347.4
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
1023.4
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 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.
RPL30 is not prognostic in Ovary Serous Cystadenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
4261.0
Number of samples
81
Samples
Sample
Description
TPM
DO46392
48 years, female, NA, stage:III, dead, 628 days
10554.5
DO46342
67 years, female, NA, stage:III, dead, 1398 days
9972.0
DO46380
51 years, female, NA, stage:III, dead, 1423 days
9717.1
DO46333
58 years, female, NA, stage:III, dead, 359 days
8028.9
DO46331
72 years, female, NA, stage:III, dead, 612 days
7728.8
DO46576
75 years, female, NA, stage:III, alive, 133 days
7623.2
DO46568
66 years, female, NA, stage:III, dead, 320 days
7572.8
DO46366
65 years, female, NA, stage:III, dead, 2054 days
7484.9
DO46390
65 years, female, NA, stage:III, dead, 374 days
7411.4
DO46356
68 years, female, NA, stage:III, dead, 911 days
7345.0
DO46586
55 years, female, NA, stage:III, dead, 1019 days
6580.3
DO46453
66 years, female, NA, stage:III, dead, 3294 days
6572.4
DO46388
74 years, female, NA, stage:III, dead, 413 days
6547.8
DO46551
58 years, female, NA, stage:III, dead, 1055 days
6174.7
DO46384
55 years, female, NA, stage:III, dead, 614 days
5987.6
DO46386
49 years, female, NA, stage:III, dead, 1162 days
5949.1
DO46518
62 years, female, NA, stage:III, alive, 2960 days
5892.3
DO46463
49 years, female, NA, stage:III, dead, 2451 days
5838.5
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
5836.5
DO46493
62 years, female, NA, stage:IV, alive, 839 days
5692.3
DO46372
39 years, female, NA, stage:III, dead, 1326 days
5589.3
DO46398
66 years, female, NA, stage:III, alive, 437 days
5066.9
DO46408
56 years, female, NA, stage:III, dead, 489 days
4986.5
DO46591
58 years, female, NA, stage:III, dead, 195 days
4978.2
DO46402
77 years, female, NA, stage:III, dead, 511 days
4953.7
DO46338
59 years, female, NA, stage:III, dead, 596 days
4897.3
DO46566
78 years, female, NA, stage:III, dead, 673 days
4811.5
DO46325
54 years, female, NA, stage:III, dead, 477 days
4694.4
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
4684.6
DO46334
77 years, female, NA, stage:III, dead, 496 days
4562.6
DO46370
54 years, female, NA, stage:III, dead, 1727 days
4354.3
DO46400
70 years, female, NA, stage:III, dead, 719 days
4248.6
DO46581
66 years, female, NA, stage:III, dead, 408 days
4231.7
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
4133.7
DO46374
69 years, female, NA, stage:III, dead, 1409 days
4041.7
DO46344
46 years, female, NA, stage:III, dead, 642 days
3989.6
DO46354
73 years, female, NA, stage:III, dead, 843 days
3972.7
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
3890.6
DO46352
60 years, female, NA, stage:III, dead, 677 days
3867.6
DO46340
62 years, female, NA, stage:III, dead, 616 days
3842.5
DO46443
59 years, female, NA, stage:III, dead, 2464 days
3726.4
DO46528
56 years, female, NA, stage:III, alive, 6139 days
3599.5
DO46346
54 years, female, NA, stage:III, dead, 1187 days
3587.6
DO46436
58 years, female, NA, stage:III, alive, 3193 days
3577.4
DO46538
57 years, female, NA, stage:III, dead, 1527 days
3499.3
DO46412
64 years, female, NA, stage:III, dead, 597 days
3461.4
DO46611
52 years, female, NA, stage:III, dead, 734 days
3457.1
DO46432
56 years, female, NA, stage:III, alive, 2218 days
3419.7
DO46597
60 years, female, NA, stage:III, dead, 393 days
3387.5
DO46364
45 years, female, NA, stage:III, dead, 806 days
3379.4
DO46546
73 years, female, NA, stage:III, dead, 1889 days
3242.5
DO46404
55 years, female, NA, stage:III, dead, 690 days
3095.3
DO46508
50 years, female, NA, stage:III, dead, 2101 days
3062.5
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
3016.4
DO46329
52 years, female, NA, stage:III, dead, 1699 days
2980.4
DO46326
51 years, female, NA, stage:III, dead, 701 days
2958.8
DO46378
59 years, female, NA, stage:III, alive, 843 days
2869.8
DO46448
45 years, female, NA, stage:III, dead, 654 days
2823.2
DO46327
54 years, female, NA, stage:III, dead, 184 days
2722.3
DO46533
46 years, female, NA, stage:III, alive, 3667 days
2711.2
DO46328
52 years, female, NA, stage:III, dead, 972 days
2693.1
DO46330
60 years, female, NA, stage:III, dead, 684 days
2581.1
DO46358
60 years, female, NA, stage:III, dead, 423 days
2573.4
DO46602
74 years, female, NA, stage:III, dead, 205 days
2531.3
DO46571
61 years, female, NA, stage:III, dead, 243 days
2530.4
DO46376
58 years, female, NA, stage:III, dead, 1430 days
2479.5
DO46368
57 years, female, NA, stage:III, dead, 2879 days
2476.2
DO46348
58 years, female, NA, stage:IV, dead, 287 days
2472.9
DO46396
64 years, female, NA, stage:III, dead, 583 days
2402.7
DO46560
45 years, female, NA, stage:IV, dead, 286 days
2360.4
DO46332
56 years, female, NA, stage:III, dead, 689 days
2350.5
DO46350
66 years, female, NA, stage:III, dead, 886 days
2292.0
DO46606
73 years, female, NA, stage:III, alive, 804 days
2108.4
DO46468
67 years, female, NA, stage:III, alive, 2776 days
1971.0
DO46336
70 years, female, NA, stage:IV, dead, 664 days
1941.4
DO46561
52 years, female, NA, stage:III, dead, 195 days
1926.0
DO46362
61 years, female, NA, stage:III, dead, 1639 days
1921.0
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
1759.3
DO46588
74 years, female, NA, stage:III, dead, 438 days
1732.8
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
1642.8
DO46382
62 years, female, NA, stage:IV, dead, 311 days
1514.7
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
0.3
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
0.3
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
0.2
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
0.2
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
0.1
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
0.1
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
0.1
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
0.1
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
0.1
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
0.1
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
0.1
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
0.1
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
0.1
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
0.0
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
0.0
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
0.0
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
0.0
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
0.0
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
0.0
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
0.0
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
-0.1
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
-0.1
161317f3-1a39-438e-af45-cd2502_D2
Tumor
-0.1
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
-0.1
a65d8e76-640f-4341-a561-afbb57_D2
Normal
-0.1
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
-0.1
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
-0.1
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
-0.2
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
-0.2
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
-0.2
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
-0.2
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
-0.2
285fed94-1495-448e-879b-b55de9_D2
Tumor
-0.2
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
-0.3
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
-0.3
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
-0.3
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
-0.3
e9d416e7-f661-400a-896e-388545_D2
Tumor
-0.3
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
-0.3
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
-0.3
1db5574d-aca7-403c-8100-6e705f_D2
Normal
-0.3
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
-0.3
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
-0.3
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
-0.3
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
-0.3
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
-0.3
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
-0.3
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
-0.4
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
-0.4
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
-0.4
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
-0.4
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
-0.4
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
-0.4
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
-0.4
a3a26070-fb84-406a-8280-d555e6_D2
Normal
-0.4
340a3769-3031-41ae-bb08-a2f696_D2
Normal
-0.4
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
-0.5
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
-0.5
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
-0.5
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
-0.5
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
-0.5
15524912-685a-47ce-a824-567848_D2
Tumor
-0.5
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
-0.5
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
-0.6
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
-0.6
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
-0.6
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
-0.6
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
-0.6
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
-0.6
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
-0.6
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
-0.6
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
-0.6
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
-0.7
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
-0.7
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
-0.7
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
-0.7
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
-0.7
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
-0.7
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-0.7
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
-0.8
1772e913-f62e-446a-8cf3-720348_D2
Tumor
-0.8
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
-0.8
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
-0.8
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
-0.8
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
-0.8
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
-0.9
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
-0.9
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
-0.9
10c2d629-0287-4511-ac25-f29031_D2
Tumor
-0.9
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-0.9
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-0.9
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
-0.9
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
-0.9
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
-0.9
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
-0.9
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
-1.0
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
-1.0
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
-1.0
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
-1.0
2f901c90-617e-46da-9fac-d68369_D2
Tumor
-1.0
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
-1.0
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
-1.0
1a10c200-3895-4648-b951-94f99f_D2
Tumor
-1.0
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
-1.1
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
-1.1
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
-1.1
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
-1.1
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
-1.3
Show allShow less
OVARIAN CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
