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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.
RPS29 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
3688.0
Number of samples
349
Samples
Sample
Description
TPM
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
13010.8
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
12714.6
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
11400.8
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
11372.1
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
11198.1
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
10391.2
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
9960.0
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
9924.1
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
8834.3
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
8825.9
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
8356.7
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
8260.4
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
8256.7
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
8075.9
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
7716.7
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
7671.6
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
7582.4
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
7574.7
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
7561.7
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
7383.9
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
7269.2
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
7202.3
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
7095.4
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
6907.5
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
6890.5
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
6806.6
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
6799.9
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
6768.4
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
6732.3
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
6610.8
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
6485.8
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
6469.3
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
6407.2
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
6326.4
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
6270.1
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
6221.7
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
6219.3
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
6218.3
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
6043.7
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
5967.9
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
5906.7
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
5883.4
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
5880.3
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
5857.4
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
5854.5
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
5791.2
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
5720.4
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
5719.3
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
5705.4
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
5705.2
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
5700.5
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
5638.6
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
5547.4
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
5542.3
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
5511.0
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
5431.3
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
5406.1
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
5362.0
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
5296.5
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
5259.6
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
5199.7
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
5183.0
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
5147.9
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
5112.7
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
5093.2
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
5092.5
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
5084.6
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
5037.9
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
5026.4
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
4957.8
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
4921.2
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
4886.8
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
4879.7
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
4872.8
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
4808.7
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
4767.0
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
4760.8
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
4739.8
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
4715.8
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
4710.7
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
4678.4
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
4649.7
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
4601.8
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
4597.7
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
4578.0
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
4569.6
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
4547.8
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
4516.8
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
4508.8
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
4499.0
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
4447.9
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
4436.1
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
4383.5
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
4380.2
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
4375.3
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
4354.2
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
4291.0
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
4271.8
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
4254.1
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
4241.5
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
4227.8
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
4200.1
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
4192.1
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
4186.4
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
4182.0
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
4162.9
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
4140.5
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
4121.2
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
4103.6
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
4069.6
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
4059.5
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
4041.2
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
4021.4
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
4016.8
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
4016.7
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
4016.0
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
4009.2
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
3990.9
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
3987.7
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
3964.0
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
3958.5
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
3950.0
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
3906.9
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
3893.5
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
3873.1
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
3864.0
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
3860.6
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
3856.7
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
3854.8
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
3850.7
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
3841.4
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
3831.4
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
3828.7
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
3764.2
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
3698.1
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
3681.7
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
3661.2
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
3647.9
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
3644.3
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
3607.9
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
3578.7
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
3556.7
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
3551.6
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
3540.6
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
3489.1
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
3487.4
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
3481.0
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
3469.8
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
3464.3
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
3451.4
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
3438.9
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
3435.3
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
3426.8
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
3403.9
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
3398.4
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
3388.5
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
3373.5
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
3368.5
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
3357.3
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
3316.0
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
3283.9
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
3273.8
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
3272.5
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
3270.2
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
3260.5
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
3257.5
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
3245.8
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
3245.3
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
3241.0
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
3226.3
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
3223.4
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
3219.2
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
3217.2
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
3200.9
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
3196.3
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
3188.4
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
3174.4
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
3161.5
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
3159.0
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
3157.8
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
3144.4
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
3143.3
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
3107.6
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
3100.1
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
3094.3
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
3093.4
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
3079.2
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
3076.4
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
3060.8
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
3032.1
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
2990.1
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
2973.2
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
2963.7
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
2960.4
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
2959.3
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
2949.7
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
2935.6
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
2934.9
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
2878.7
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
2855.3
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
2853.2
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
2808.3
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
2793.3
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
2782.8
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
2762.7
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
2736.1
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
2723.7
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
2722.1
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
2712.9
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
2695.3
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
2693.9
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
2692.0
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
2671.8
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
2666.5
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
2664.1
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
2663.3
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
2654.0
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
2628.7
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
2621.4
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
2614.4
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
2586.6
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
2584.6
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
2572.8
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
2568.7
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
2559.2
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
2542.3
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
2530.7
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
2520.7
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
2520.5
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
2517.0
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
2503.6
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
2497.6
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
2477.0
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
2475.6
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
2472.3
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
2466.8
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
2457.2
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
2454.4
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
2449.7
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
2429.2
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
2412.7
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
2409.5
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
2404.2
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
2396.1
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
2385.9
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
2383.4
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
2383.1
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
2375.4
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
2375.1
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
2375.1
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
2369.4
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
2360.4
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
2355.9
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
2353.1
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
2329.1
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
2321.6
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
2304.6
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
2289.8
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
2284.8
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
2284.5
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
2275.7
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
2274.5
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
2272.6
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
2257.6
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
2242.4
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
2230.5
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
2213.1
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
2206.9
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
2204.8
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
2202.8
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
2201.9
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
2198.4
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
2182.4
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
2181.8
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
2171.4
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
2166.2
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
2163.2
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
2157.0
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
2155.5
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
2151.0
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
2142.5
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
2135.7
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
2135.3
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
2134.2
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
2119.0
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
2110.4
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
2100.8
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
2099.9
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
2096.3
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
2084.6
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
2077.1
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
2076.9
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
2069.8
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
2068.0
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
2032.3
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
2029.4
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
2018.1
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
2017.2
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
2016.1
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
1997.5
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
1988.9
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
1968.0
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
1957.3
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
1954.7
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
1952.9
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
1950.8
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
1937.4
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
1926.9
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
1922.5
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
1912.2
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
1910.5
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
1875.6
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
1860.5
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
1836.5
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
1816.6
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
1815.2
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
1801.7
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
1798.7
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
1767.6
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
1761.1
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
1758.7
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
1747.0
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
1725.8
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
1717.3
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
1709.7
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
1706.1
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
1620.2
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
1614.5
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
1602.7
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
1594.2
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
1593.8
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
1558.2
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
1556.5
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
1543.8
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
1516.8
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
1488.1
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
1397.5
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
1377.6
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
1374.5
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
1352.5
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
1351.1
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
1344.0
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
1323.5
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
1277.0
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
1205.0
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
1159.2
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
1102.1
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
953.2
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.
RPS29 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
3108.7
Number of samples
81
Samples
Sample
Description
TPM
DO46333
58 years, female, NA, stage:III, dead, 359 days
8224.7
DO46576
75 years, female, NA, stage:III, alive, 133 days
7599.4
DO46366
65 years, female, NA, stage:III, dead, 2054 days
7406.5
DO46390
65 years, female, NA, stage:III, dead, 374 days
6724.6
DO46342
67 years, female, NA, stage:III, dead, 1398 days
6021.1
DO46568
66 years, female, NA, stage:III, dead, 320 days
6019.9
DO46356
68 years, female, NA, stage:III, dead, 911 days
5730.2
DO46384
55 years, female, NA, stage:III, dead, 614 days
5726.4
DO46591
58 years, female, NA, stage:III, dead, 195 days
5611.7
DO46380
51 years, female, NA, stage:III, dead, 1423 days
4787.5
DO46586
55 years, female, NA, stage:III, dead, 1019 days
4731.6
DO46561
52 years, female, NA, stage:III, dead, 195 days
4701.9
DO46378
59 years, female, NA, stage:III, alive, 843 days
4641.3
DO46338
59 years, female, NA, stage:III, dead, 596 days
4632.3
DO46350
66 years, female, NA, stage:III, dead, 886 days
4581.6
DO46581
66 years, female, NA, stage:III, dead, 408 days
4335.7
DO46386
49 years, female, NA, stage:III, dead, 1162 days
3893.3
DO46528
56 years, female, NA, stage:III, alive, 6139 days
3868.6
DO46566
78 years, female, NA, stage:III, dead, 673 days
3639.1
DO46392
48 years, female, NA, stage:III, dead, 628 days
3567.1
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
3566.3
DO46453
66 years, female, NA, stage:III, dead, 3294 days
3520.7
DO46402
77 years, female, NA, stage:III, dead, 511 days
3519.2
DO46463
49 years, female, NA, stage:III, dead, 2451 days
3479.0
DO46493
62 years, female, NA, stage:IV, alive, 839 days
3410.3
DO46358
60 years, female, NA, stage:III, dead, 423 days
3405.8
DO46352
60 years, female, NA, stage:III, dead, 677 days
3331.1
DO46334
77 years, female, NA, stage:III, dead, 496 days
3280.7
DO46432
56 years, female, NA, stage:III, alive, 2218 days
3241.4
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
3162.2
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
3153.4
DO46602
74 years, female, NA, stage:III, dead, 205 days
3080.0
DO46329
52 years, female, NA, stage:III, dead, 1699 days
2968.3
DO46326
51 years, female, NA, stage:III, dead, 701 days
2944.5
DO46398
66 years, female, NA, stage:III, alive, 437 days
2943.2
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
2925.5
DO46376
58 years, female, NA, stage:III, dead, 1430 days
2895.8
DO46346
54 years, female, NA, stage:III, dead, 1187 days
2851.8
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
2765.4
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
2730.2
DO46372
39 years, female, NA, stage:III, dead, 1326 days
2694.5
DO46508
50 years, female, NA, stage:III, dead, 2101 days
2690.6
DO46533
46 years, female, NA, stage:III, alive, 3667 days
2636.7
DO46611
52 years, female, NA, stage:III, dead, 734 days
2617.2
DO46443
59 years, female, NA, stage:III, dead, 2464 days
2607.1
DO46370
54 years, female, NA, stage:III, dead, 1727 days
2560.4
DO46448
45 years, female, NA, stage:III, dead, 654 days
2536.3
DO46388
74 years, female, NA, stage:III, dead, 413 days
2493.8
DO46408
56 years, female, NA, stage:III, dead, 489 days
2442.5
DO46325
54 years, female, NA, stage:III, dead, 477 days
2420.2
DO46588
74 years, female, NA, stage:III, dead, 438 days
2376.9
DO46396
64 years, female, NA, stage:III, dead, 583 days
2274.8
DO46518
62 years, female, NA, stage:III, alive, 2960 days
2274.2
DO46400
70 years, female, NA, stage:III, dead, 719 days
2263.1
DO46348
58 years, female, NA, stage:IV, dead, 287 days
2248.1
DO46344
46 years, female, NA, stage:III, dead, 642 days
2239.8
DO46468
67 years, female, NA, stage:III, alive, 2776 days
2239.8
DO46560
45 years, female, NA, stage:IV, dead, 286 days
2233.7
DO46597
60 years, female, NA, stage:III, dead, 393 days
2087.5
DO46331
72 years, female, NA, stage:III, dead, 612 days
2035.0
DO46368
57 years, female, NA, stage:III, dead, 2879 days
2022.3
DO46364
45 years, female, NA, stage:III, dead, 806 days
2003.0
DO46412
64 years, female, NA, stage:III, dead, 597 days
1954.5
DO46340
62 years, female, NA, stage:III, dead, 616 days
1929.1
DO46404
55 years, female, NA, stage:III, dead, 690 days
1915.7
DO46374
69 years, female, NA, stage:III, dead, 1409 days
1915.5
DO46354
73 years, female, NA, stage:III, dead, 843 days
1894.5
DO46362
61 years, female, NA, stage:III, dead, 1639 days
1872.7
DO46328
52 years, female, NA, stage:III, dead, 972 days
1861.0
DO46332
56 years, female, NA, stage:III, dead, 689 days
1860.9
DO46330
60 years, female, NA, stage:III, dead, 684 days
1809.1
DO46606
73 years, female, NA, stage:III, alive, 804 days
1738.1
DO46327
54 years, female, NA, stage:III, dead, 184 days
1704.6
DO46436
58 years, female, NA, stage:III, alive, 3193 days
1601.7
DO46571
61 years, female, NA, stage:III, dead, 243 days
1443.2
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
1443.1
DO46551
58 years, female, NA, stage:III, dead, 1055 days
1350.2
DO46538
57 years, female, NA, stage:III, dead, 1527 days
1313.0
DO46382
62 years, female, NA, stage:IV, dead, 311 days
1222.4
DO46336
70 years, female, NA, stage:IV, dead, 664 days
880.7
DO46546
73 years, female, NA, stage:III, dead, 1889 days
481.7
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
1.1
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
1.1
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
0.7
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
0.7
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
0.7
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
0.6
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
0.5
2f901c90-617e-46da-9fac-d68369_D2
Tumor
0.4
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
0.4
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
0.3
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
0.3
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
0.3
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
0.3
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
0.3
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
0.3
340a3769-3031-41ae-bb08-a2f696_D2
Normal
0.2
15524912-685a-47ce-a824-567848_D2
Tumor
0.2
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
0.2
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
0.1
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
0.1
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
0.0
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
0.0
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
-0.1
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
-0.1
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
-0.1
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
-0.2
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
-0.2
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-0.2
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
-0.2
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
-0.2
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
-0.2
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
-0.2
161317f3-1a39-438e-af45-cd2502_D2
Tumor
-0.3
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
-0.3
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
-0.3
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
-0.3
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
-0.3
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
-0.3
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
-0.3
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-0.3
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
-0.4
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
-0.4
10c2d629-0287-4511-ac25-f29031_D2
Tumor
-0.5
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
-0.5
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
-0.5
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
-0.5
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
-0.5
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
-0.5
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
-0.5
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
-0.5
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
-0.5
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
-0.5
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
-0.5
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
-0.6
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
-0.6
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
-0.6
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
-0.6
285fed94-1495-448e-879b-b55de9_D2
Tumor
-0.6
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
-0.6
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
-0.7
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
-0.7
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
-0.7
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
-0.7
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
-0.7
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
-0.7
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
-0.7
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
-0.7
e9d416e7-f661-400a-896e-388545_D2
Tumor
-0.7
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
-0.7
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
-0.7
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
-0.8
1db5574d-aca7-403c-8100-6e705f_D2
Normal
-0.8
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
-0.8
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
-0.8
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
-0.8
a65d8e76-640f-4341-a561-afbb57_D2
Normal
-0.8
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
-0.8
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
-0.8
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
-0.8
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
-0.9
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
-0.9
a3a26070-fb84-406a-8280-d555e6_D2
Normal
-0.9
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
-0.9
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
-0.9
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
-0.9
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
-0.9
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
-1.0
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
-1.0
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
-1.0
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
-1.0
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
-1.0
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
-1.0
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
-1.1
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
-1.1
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
-1.1
1a10c200-3895-4648-b951-94f99f_D2
Tumor
-1.1
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
-1.2
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
-1.2
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
-1.3
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
-1.4
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
-1.5
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-1.7
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
-1.7
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
-1.7
1772e913-f62e-446a-8cf3-720348_D2
Tumor
-1.8
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
-1.8
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
-2.0
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
-2.1
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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
