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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.
RPL27A is not prognostic in Ovary Serous Cystadenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
3933.7
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
17321.2
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
15457.0
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
14272.6
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
11551.4
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
9927.8
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
9745.9
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
9607.1
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
9184.6
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
8678.8
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
8203.7
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
7802.9
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
7718.2
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
7590.4
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
7582.6
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
7465.6
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
7463.8
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
7336.3
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
7273.0
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
7209.3
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
7207.3
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
7132.8
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
7092.8
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
7041.7
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
7039.9
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
6921.9
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
6881.5
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
6869.7
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
6851.9
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
6850.2
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
6815.6
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
6724.2
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
6675.9
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
6666.3
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
6569.2
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
6407.7
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
6394.5
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
6382.7
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
6373.2
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
6316.9
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
6313.9
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
6300.6
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
6259.6
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
6243.6
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
6242.7
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
6233.8
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
6116.1
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
6114.5
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
6096.3
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
6037.3
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
5942.0
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
5799.0
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
5763.5
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
5678.0
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
5637.0
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
5633.9
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
5628.6
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
5604.8
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
5596.4
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
5587.5
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
5564.1
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
5553.4
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
5527.1
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
5498.5
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
5470.7
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
5456.9
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
5443.3
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
5362.4
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
5339.3
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
5323.4
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
5295.4
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
5271.8
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
5249.4
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
5222.9
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
5211.3
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
5161.6
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
5111.4
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
5045.6
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
5045.2
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
5031.4
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
5012.9
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
5008.9
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
4988.5
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
4981.4
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
4954.2
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
4900.1
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
4865.9
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
4853.0
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
4850.3
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
4834.6
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
4832.8
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
4830.2
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
4822.7
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
4820.2
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
4803.7
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
4734.8
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
4672.3
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
4660.7
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
4658.4
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
4630.5
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
4625.7
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
4615.5
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
4608.8
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
4572.4
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
4553.9
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
4539.8
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
4538.1
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
4525.2
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
4516.5
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
4479.0
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
4465.0
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
4459.4
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
4457.4
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
4447.9
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
4435.8
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
4425.6
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
4424.0
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
4413.0
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
4384.7
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
4376.2
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
4327.8
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
4311.4
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
4308.5
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
4287.3
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
4245.9
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
4234.5
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
4222.7
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
4187.1
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
4183.9
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
4181.3
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
4177.7
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
4177.3
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
4176.3
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
4115.5
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
4091.7
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
4088.9
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
4084.5
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
4071.5
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
4055.0
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
4048.6
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
4035.3
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
4032.6
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
4032.3
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
4028.2
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
4016.4
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
4009.2
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
3982.9
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
3961.4
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
3933.7
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
3930.4
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
3925.7
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
3921.2
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
3917.8
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
3916.5
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
3915.8
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
3905.5
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
3872.0
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
3868.3
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
3860.6
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
3860.4
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
3849.0
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
3844.2
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
3838.6
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
3794.1
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
3739.3
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
3722.9
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
3720.1
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
3705.9
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
3695.8
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
3674.8
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
3649.5
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
3649.1
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
3644.1
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
3582.0
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
3577.9
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
3575.3
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
3572.6
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
3564.1
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
3560.0
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
3551.5
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
3534.8
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
3501.4
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
3480.7
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
3463.9
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
3456.6
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
3450.4
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
3433.7
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
3413.5
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
3413.1
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
3409.6
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
3409.0
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
3401.4
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
3342.9
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
3342.4
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
3328.7
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
3298.0
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
3284.6
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
3275.7
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
3252.7
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
3228.7
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
3193.5
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
3191.6
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
3189.8
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
3154.9
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
3115.3
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
3089.8
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
3087.8
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
3074.2
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
3061.9
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
3043.7
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
3026.9
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
2993.0
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
2991.7
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
2974.6
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
2962.0
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
2959.5
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
2900.3
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
2885.3
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
2876.0
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
2875.3
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
2866.4
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
2849.8
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
2847.0
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
2816.5
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
2810.7
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
2760.5
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
2758.5
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
2749.4
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
2746.0
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
2739.6
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
2711.2
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
2706.2
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
2703.0
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
2701.9
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
2701.2
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
2692.0
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
2681.7
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
2677.5
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
2670.7
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
2661.8
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
2650.8
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
2628.4
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
2628.1
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
2627.5
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
2624.6
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
2618.1
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
2612.7
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
2594.7
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
2585.4
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
2580.6
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
2580.3
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
2572.9
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
2562.2
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
2548.5
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
2537.5
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
2520.6
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
2490.2
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
2479.6
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
2478.6
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
2463.8
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
2457.1
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
2429.7
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
2426.6
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
2419.9
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
2419.4
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
2410.0
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
2404.6
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
2403.7
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
2401.8
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
2401.0
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
2398.4
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
2379.4
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
2363.3
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
2346.1
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
2343.2
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
2339.1
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
2333.5
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
2331.4
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
2270.1
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
2213.6
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
2199.9
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
2194.5
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
2188.9
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
2166.8
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
2163.2
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
2158.8
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
2148.3
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
2139.9
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
2134.0
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
2127.0
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
2118.9
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
2116.7
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
2112.9
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
2109.7
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
2109.4
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
2062.4
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
2048.2
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
2037.6
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
2037.2
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
2035.3
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
2031.1
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
2006.2
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
1995.6
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
1992.2
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
1990.0
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
1964.8
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
1951.5
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
1924.7
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
1915.9
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
1915.1
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
1905.6
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
1871.5
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
1858.9
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
1855.3
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
1828.4
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
1808.3
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
1807.7
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
1786.8
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
1776.4
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
1763.9
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
1755.1
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
1751.6
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
1740.7
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
1732.7
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
1731.7
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
1720.7
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
1716.4
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
1702.3
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
1697.7
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
1692.7
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
1677.1
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
1636.6
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
1628.0
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
1625.0
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
1613.6
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
1611.3
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
1572.0
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
1521.9
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
1515.8
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
1481.8
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
1472.5
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
1472.4
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
1458.0
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
1364.7
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
1340.6
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
1319.7
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
1287.1
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
1271.9
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
1103.1
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 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.
RPL27A is not prognostic in Ovary Serous Cystadenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
3027.8
Number of samples
81
Samples
Sample
Description
pTPM
DO46576
75 years, female, NA, stage:III, alive, 133 days
12442.9
DO46611
52 years, female, NA, stage:III, dead, 734 days
9334.9
DO46390
65 years, female, NA, stage:III, dead, 374 days
7572.0
DO46370
54 years, female, NA, stage:III, dead, 1727 days
7438.4
DO46356
68 years, female, NA, stage:III, dead, 911 days
6619.5
DO46581
66 years, female, NA, stage:III, dead, 408 days
6193.4
DO46331
72 years, female, NA, stage:III, dead, 612 days
5650.9
DO46342
67 years, female, NA, stage:III, dead, 1398 days
5379.3
DO46384
55 years, female, NA, stage:III, dead, 614 days
5317.5
DO46333
58 years, female, NA, stage:III, dead, 359 days
5126.5
DO46568
66 years, female, NA, stage:III, dead, 320 days
4902.9
DO46591
58 years, female, NA, stage:III, dead, 195 days
4874.9
DO46453
66 years, female, NA, stage:III, dead, 3294 days
4749.5
DO46366
65 years, female, NA, stage:III, dead, 2054 days
4725.6
DO46463
49 years, female, NA, stage:III, dead, 2451 days
4311.8
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
4250.0
DO46364
45 years, female, NA, stage:III, dead, 806 days
4071.6
DO46392
48 years, female, NA, stage:III, dead, 628 days
4008.1
DO46362
61 years, female, NA, stage:III, dead, 1639 days
3971.8
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
3614.8
DO46402
77 years, female, NA, stage:III, dead, 511 days
3605.0
DO46346
54 years, female, NA, stage:III, dead, 1187 days
3580.3
DO46551
58 years, female, NA, stage:III, dead, 1055 days
3543.6
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
3513.5
DO46330
60 years, female, NA, stage:III, dead, 684 days
3386.7
DO46326
51 years, female, NA, stage:III, dead, 701 days
3324.3
DO46566
78 years, female, NA, stage:III, dead, 673 days
3196.7
DO46538
57 years, female, NA, stage:III, dead, 1527 days
3186.4
DO46443
59 years, female, NA, stage:III, dead, 2464 days
3177.2
DO46338
59 years, female, NA, stage:III, dead, 596 days
3159.1
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
2987.7
DO46386
49 years, female, NA, stage:III, dead, 1162 days
2838.7
DO46328
52 years, female, NA, stage:III, dead, 972 days
2768.3
DO46586
55 years, female, NA, stage:III, dead, 1019 days
2708.6
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
2665.4
DO46376
58 years, female, NA, stage:III, dead, 1430 days
2547.0
DO46412
64 years, female, NA, stage:III, dead, 597 days
2521.3
DO46358
60 years, female, NA, stage:III, dead, 423 days
2463.1
DO46588
74 years, female, NA, stage:III, dead, 438 days
2423.9
DO46352
60 years, female, NA, stage:III, dead, 677 days
2392.9
DO46334
77 years, female, NA, stage:III, dead, 496 days
2375.1
DO46518
62 years, female, NA, stage:III, alive, 2960 days
2323.2
DO46602
74 years, female, NA, stage:III, dead, 205 days
2180.5
DO46396
64 years, female, NA, stage:III, dead, 583 days
2145.6
DO46378
59 years, female, NA, stage:III, alive, 843 days
2133.6
DO46533
46 years, female, NA, stage:III, alive, 3667 days
2115.9
DO46350
66 years, female, NA, stage:III, dead, 886 days
2052.5
DO46508
50 years, female, NA, stage:III, dead, 2101 days
2030.1
DO46606
73 years, female, NA, stage:III, alive, 804 days
2017.9
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
2016.3
DO46398
66 years, female, NA, stage:III, alive, 437 days
1975.7
DO46372
39 years, female, NA, stage:III, dead, 1326 days
1955.6
DO46560
45 years, female, NA, stage:IV, dead, 286 days
1953.5
DO46336
70 years, female, NA, stage:IV, dead, 664 days
1903.4
DO46597
60 years, female, NA, stage:III, dead, 393 days
1890.2
DO46380
51 years, female, NA, stage:III, dead, 1423 days
1828.3
DO46368
57 years, female, NA, stage:III, dead, 2879 days
1814.0
DO46404
55 years, female, NA, stage:III, dead, 690 days
1813.4
DO46561
52 years, female, NA, stage:III, dead, 195 days
1756.1
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
1751.1
DO46388
74 years, female, NA, stage:III, dead, 413 days
1742.1
DO46493
62 years, female, NA, stage:IV, alive, 839 days
1733.0
DO46432
56 years, female, NA, stage:III, alive, 2218 days
1732.0
DO46448
45 years, female, NA, stage:III, dead, 654 days
1718.5
DO46528
56 years, female, NA, stage:III, alive, 6139 days
1713.1
DO46329
52 years, female, NA, stage:III, dead, 1699 days
1637.8
DO46325
54 years, female, NA, stage:III, dead, 477 days
1551.9
DO46374
69 years, female, NA, stage:III, dead, 1409 days
1524.2
DO46400
70 years, female, NA, stage:III, dead, 719 days
1481.8
DO46344
46 years, female, NA, stage:III, dead, 642 days
1464.7
DO46408
56 years, female, NA, stage:III, dead, 489 days
1452.7
DO46382
62 years, female, NA, stage:IV, dead, 311 days
1425.4
DO46354
73 years, female, NA, stage:III, dead, 843 days
1417.7
DO46327
54 years, female, NA, stage:III, dead, 184 days
1370.3
DO46546
73 years, female, NA, stage:III, dead, 1889 days
1358.2
DO46348
58 years, female, NA, stage:IV, dead, 287 days
1340.9
DO46436
58 years, female, NA, stage:III, alive, 3193 days
1270.5
DO46468
67 years, female, NA, stage:III, alive, 2776 days
1259.5
DO46571
61 years, female, NA, stage:III, dead, 243 days
1215.6
DO46332
56 years, female, NA, stage:III, dead, 689 days
1186.3
DO46340
62 years, female, NA, stage:III, dead, 616 days
1080.6
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
1.3
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
1.3
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
1.3
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
1.3
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
1.2
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
1.1
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
1.1
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
1.1
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
1.0
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
1.0
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
0.9
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
0.9
15524912-685a-47ce-a824-567848_D2
Tumor
0.9
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
0.9
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
0.9
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
0.9
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
0.8
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
0.8
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
0.8
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
0.8
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
0.8
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
0.8
2f901c90-617e-46da-9fac-d68369_D2
Tumor
0.8
285fed94-1495-448e-879b-b55de9_D2
Tumor
0.8
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
0.8
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
0.8
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
0.7
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
0.7
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
0.7
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
0.7
161317f3-1a39-438e-af45-cd2502_D2
Tumor
0.7
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
0.6
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
0.6
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
0.6
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
0.6
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
0.6
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
0.6
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
0.6
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
0.6
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
0.6
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
0.6
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
0.6
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
0.6
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
0.6
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
0.5
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
0.5
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
0.5
10c2d629-0287-4511-ac25-f29031_D2
Tumor
0.5
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
0.5
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
0.5
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
0.5
e9d416e7-f661-400a-896e-388545_D2
Tumor
0.5
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
0.5
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
0.4
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
0.4
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
0.4
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
0.4
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
0.4
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
0.4
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
0.4
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
0.4
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
0.3
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
0.3
1772e913-f62e-446a-8cf3-720348_D2
Tumor
0.3
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
0.3
1a10c200-3895-4648-b951-94f99f_D2
Tumor
0.3
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
0.3
a3a26070-fb84-406a-8280-d555e6_D2
Normal
0.3
340a3769-3031-41ae-bb08-a2f696_D2
Normal
0.3
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
0.3
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
0.2
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
0.2
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
0.2
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
0.2
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
0.2
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
0.1
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
0.1
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
0.1
1db5574d-aca7-403c-8100-6e705f_D2
Normal
0.1
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
0.1
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
0.0
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
0.0
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
0.0
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
0.0
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
-0.1
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-0.1
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
-0.1
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-0.1
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
-0.1
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
-0.1
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
-0.1
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
-0.1
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
-0.2
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
-0.2
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
-0.2
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
-0.2
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
-0.2
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
-0.3
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-0.3
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
-0.3
a65d8e76-640f-4341-a561-afbb57_D2
Normal
-0.3
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
-0.3
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
-0.3
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
-0.4
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
-0.5
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
-0.5
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
-0.5
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
-0.5
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
