We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPLP0 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
3624.1
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
10299.5
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
9994.6
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
9021.4
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
8302.9
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
8235.6
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
8127.9
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
8064.1
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
7985.2
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
7976.0
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
7932.8
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
7437.5
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
7279.2
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
7262.4
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
7235.2
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
7125.7
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
7112.1
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
6986.0
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
6923.7
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
6666.0
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
6576.4
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
6474.5
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
6443.0
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
6337.6
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
6251.0
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
6203.2
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
6178.5
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
5991.2
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
5918.4
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
5907.2
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
5830.5
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
5821.8
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
5818.6
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
5811.1
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
5773.4
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
5756.0
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
5749.0
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
5748.0
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
5711.1
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
5674.6
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
5670.3
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
5610.2
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
5571.1
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
5552.8
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
5539.3
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
5498.6
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
5477.2
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
5436.8
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
5408.0
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
5399.7
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
5365.0
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
5353.1
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
5273.1
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
5224.9
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
5211.9
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
5198.6
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
5192.3
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
5188.6
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
5157.5
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
5133.6
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
5126.1
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
5115.4
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
5111.3
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
5109.1
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
5014.4
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
5004.1
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
4949.9
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
4901.2
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
4864.4
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
4836.7
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
4835.6
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
4807.2
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
4785.8
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
4775.6
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
4754.4
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
4713.6
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
4660.5
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
4648.7
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
4638.2
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
4637.3
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
4621.8
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
4612.9
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
4611.7
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
4603.6
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
4581.1
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
4558.2
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
4554.1
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
4502.7
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
4472.6
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
4462.7
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
4462.1
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
4440.0
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
4380.6
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
4341.3
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
4297.4
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
4255.1
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
4249.5
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
4245.3
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
4245.2
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
4243.3
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
4236.7
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
4222.7
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
4219.2
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
4190.7
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
4190.2
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
4179.9
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
4175.6
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
4175.0
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
4169.1
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
4162.7
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
4154.3
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
4147.9
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
4119.2
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
4110.9
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
4087.6
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
4086.8
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
4084.0
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
4064.2
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
4058.1
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
4045.5
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
4015.7
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
4013.9
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
4007.6
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
4005.7
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
3998.7
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
3955.8
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
3937.7
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
3929.8
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
3892.5
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
3888.3
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
3876.6
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
3852.1
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
3848.0
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
3837.4
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
3830.6
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
3829.8
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
3821.4
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
3802.7
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
3793.0
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
3783.5
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
3764.9
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
3730.4
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
3721.2
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
3710.9
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
3710.2
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
3707.8
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
3694.8
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
3694.6
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
3669.6
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
3667.1
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
3660.8
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
3660.6
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
3652.2
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
3639.7
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
3612.0
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
3596.5
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
3594.9
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
3546.2
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
3524.4
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
3495.8
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
3484.9
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
3469.6
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
3461.6
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
3443.4
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
3437.8
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
3426.3
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
3419.2
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
3418.6
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
3417.1
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
3386.2
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
3373.6
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
3353.3
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
3336.8
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
3326.6
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
3324.2
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
3308.2
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
3289.2
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
3286.4
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
3273.3
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
3266.2
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
3262.7
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
3256.5
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
3249.6
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
3248.1
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
3231.6
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
3194.1
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
3187.7
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
3184.1
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
3168.5
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
3162.5
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
3149.2
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
3142.4
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
3120.0
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
3115.1
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
3101.1
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
3093.9
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
3082.7
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
3080.5
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
3077.4
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
3069.6
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
3063.2
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
3055.2
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
3052.2
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
3026.5
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
3013.7
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
3004.8
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
2997.2
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
2986.1
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
2972.0
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
2968.8
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
2965.5
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
2956.8
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
2944.9
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
2938.2
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
2903.6
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
2893.6
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
2891.5
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
2886.4
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
2883.4
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
2828.7
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
2823.1
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
2819.3
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
2812.7
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
2794.6
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
2782.5
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
2776.0
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
2774.4
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
2769.0
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
2759.4
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
2750.4
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
2741.9
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
2739.8
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
2732.5
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
2717.6
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
2713.3
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
2698.7
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
2686.9
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
2679.3
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
2679.2
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
2678.2
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
2671.9
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
2652.3
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
2644.2
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
2639.4
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
2628.8
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
2617.0
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
2584.7
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
2582.8
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
2577.4
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
2566.6
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
2544.6
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
2523.5
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
2518.1
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
2512.0
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
2507.0
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
2503.9
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
2480.2
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
2478.6
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
2469.5
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
2461.3
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
2454.9
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
2446.4
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
2425.4
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
2420.9
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
2403.0
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
2384.1
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
2371.0
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
2354.1
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
2346.3
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
2325.4
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
2318.2
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
2316.3
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
2314.5
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
2303.6
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
2302.3
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
2301.6
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
2293.7
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
2254.8
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
2253.0
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
2248.3
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
2234.8
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
2232.8
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
2227.0
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
2222.1
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
2217.0
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
2214.9
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
2203.9
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
2179.8
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
2179.1
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
2141.8
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
2136.2
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
2132.0
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
2122.7
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
2118.4
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
2111.5
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
2093.8
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
2087.4
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
2068.1
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
2051.1
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
2025.2
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
2023.7
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
2017.1
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
1965.0
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
1956.9
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
1950.0
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
1916.2
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
1913.1
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
1884.9
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
1883.2
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
1882.6
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
1872.0
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
1870.0
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
1869.9
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
1841.7
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
1826.0
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
1818.2
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
1800.9
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
1794.7
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
1749.4
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
1729.5
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
1728.5
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
1721.6
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
1707.1
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
1692.5
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
1683.8
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
1678.5
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
1663.2
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
1652.2
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
1651.3
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
1635.3
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
1609.4
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
1605.7
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
1564.3
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
1508.0
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
1507.7
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
1497.5
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
1490.7
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
1486.5
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
1418.8
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
1411.5
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
1380.0
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
1323.7
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
1282.8
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
1279.0
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
1272.9
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
1240.2
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
1161.0
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
1156.7
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
1078.8
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 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.
RPLP0 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
3114.8
Number of samples
81
Samples
Sample
Description
pTPM
DO46384
55 years, female, NA, stage:III, dead, 614 days
10336.3
DO46328
52 years, female, NA, stage:III, dead, 972 days
7274.7
DO46568
66 years, female, NA, stage:III, dead, 320 days
6800.8
DO46330
60 years, female, NA, stage:III, dead, 684 days
6360.2
DO46338
59 years, female, NA, stage:III, dead, 596 days
6192.6
DO46611
52 years, female, NA, stage:III, dead, 734 days
6078.8
DO46390
65 years, female, NA, stage:III, dead, 374 days
5473.1
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
5394.9
DO46566
78 years, female, NA, stage:III, dead, 673 days
5284.4
DO46326
51 years, female, NA, stage:III, dead, 701 days
5068.2
DO46463
49 years, female, NA, stage:III, dead, 2451 days
4997.1
DO46364
45 years, female, NA, stage:III, dead, 806 days
4921.1
DO46402
77 years, female, NA, stage:III, dead, 511 days
4764.2
DO46346
54 years, female, NA, stage:III, dead, 1187 days
4698.6
DO46356
68 years, female, NA, stage:III, dead, 911 days
4530.4
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
4506.5
DO46581
66 years, female, NA, stage:III, dead, 408 days
4435.2
DO46533
46 years, female, NA, stage:III, alive, 3667 days
4391.2
DO46370
54 years, female, NA, stage:III, dead, 1727 days
4314.3
DO46358
60 years, female, NA, stage:III, dead, 423 days
4060.4
DO46576
75 years, female, NA, stage:III, alive, 133 days
3853.3
DO46586
55 years, female, NA, stage:III, dead, 1019 days
3791.1
DO46591
58 years, female, NA, stage:III, dead, 195 days
3675.4
DO46331
72 years, female, NA, stage:III, dead, 612 days
3649.9
DO46588
74 years, female, NA, stage:III, dead, 438 days
3522.2
DO46518
62 years, female, NA, stage:III, alive, 2960 days
3465.5
DO46333
58 years, female, NA, stage:III, dead, 359 days
3434.5
DO46362
61 years, female, NA, stage:III, dead, 1639 days
3400.6
DO46443
59 years, female, NA, stage:III, dead, 2464 days
3319.0
DO46597
60 years, female, NA, stage:III, dead, 393 days
3318.4
DO46342
67 years, female, NA, stage:III, dead, 1398 days
3141.7
DO46329
52 years, female, NA, stage:III, dead, 1699 days
3090.9
DO46366
65 years, female, NA, stage:III, dead, 2054 days
3027.9
DO46334
77 years, female, NA, stage:III, dead, 496 days
3000.0
DO46392
48 years, female, NA, stage:III, dead, 628 days
2936.8
DO46378
59 years, female, NA, stage:III, alive, 843 days
2908.7
DO46561
52 years, female, NA, stage:III, dead, 195 days
2812.9
DO46354
73 years, female, NA, stage:III, dead, 843 days
2743.0
DO46538
57 years, female, NA, stage:III, dead, 1527 days
2717.8
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
2688.0
DO46432
56 years, female, NA, stage:III, alive, 2218 days
2685.3
DO46352
60 years, female, NA, stage:III, dead, 677 days
2569.5
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
2559.4
DO46560
45 years, female, NA, stage:IV, dead, 286 days
2505.8
DO46336
70 years, female, NA, stage:IV, dead, 664 days
2429.8
DO46468
67 years, female, NA, stage:III, alive, 2776 days
2392.4
DO46382
62 years, female, NA, stage:IV, dead, 311 days
2348.1
DO46376
58 years, female, NA, stage:III, dead, 1430 days
2323.7
DO46396
64 years, female, NA, stage:III, dead, 583 days
2322.1
DO46412
64 years, female, NA, stage:III, dead, 597 days
2218.1
DO46348
58 years, female, NA, stage:IV, dead, 287 days
2209.5
DO46400
70 years, female, NA, stage:III, dead, 719 days
2199.6
DO46508
50 years, female, NA, stage:III, dead, 2101 days
2173.5
DO46327
54 years, female, NA, stage:III, dead, 184 days
2143.2
DO46350
66 years, female, NA, stage:III, dead, 886 days
2111.8
DO46453
66 years, female, NA, stage:III, dead, 3294 days
2069.3
DO46404
55 years, female, NA, stage:III, dead, 690 days
2056.7
DO46602
74 years, female, NA, stage:III, dead, 205 days
2049.9
DO46493
62 years, female, NA, stage:IV, alive, 839 days
2040.4
DO46388
74 years, female, NA, stage:III, dead, 413 days
2028.6
DO46372
39 years, female, NA, stage:III, dead, 1326 days
2010.5
DO46436
58 years, female, NA, stage:III, alive, 3193 days
1940.2
DO46408
56 years, female, NA, stage:III, dead, 489 days
1923.2
DO46398
66 years, female, NA, stage:III, alive, 437 days
1900.8
DO46551
58 years, female, NA, stage:III, dead, 1055 days
1884.2
DO46344
46 years, female, NA, stage:III, dead, 642 days
1770.1
DO46386
49 years, female, NA, stage:III, dead, 1162 days
1763.1
DO46380
51 years, female, NA, stage:III, dead, 1423 days
1758.1
DO46374
69 years, female, NA, stage:III, dead, 1409 days
1563.8
DO46528
56 years, female, NA, stage:III, alive, 6139 days
1532.3
DO46448
45 years, female, NA, stage:III, dead, 654 days
1528.3
DO46325
54 years, female, NA, stage:III, dead, 477 days
1520.2
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
1495.6
DO46368
57 years, female, NA, stage:III, dead, 2879 days
1490.8
DO46332
56 years, female, NA, stage:III, dead, 689 days
1481.2
DO46571
61 years, female, NA, stage:III, dead, 243 days
1468.0
DO46606
73 years, female, NA, stage:III, alive, 804 days
1395.4
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
1211.0
DO46340
62 years, female, NA, stage:III, dead, 616 days
1192.4
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
873.1
DO46546
73 years, female, NA, stage:III, dead, 1889 days
780.3
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
0.9
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
0.9
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
0.8
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
0.6
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
0.6
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
0.5
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
0.5
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
0.4
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
0.4
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
0.4
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
0.4
e9d416e7-f661-400a-896e-388545_D2
Tumor
0.4
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
0.4
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
0.3
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
0.3
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
0.3
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
0.3
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
0.3
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
0.2
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
0.2
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
0.2
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
0.2
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
0.2
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
0.2
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
0.2
161317f3-1a39-438e-af45-cd2502_D2
Tumor
0.2
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
0.2
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
0.2
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
0.2
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
0.2
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
0.2
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
0.1
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
0.1
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
0.1
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
0.1
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
0.1
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
0.1
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
0.1
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
0.1
285fed94-1495-448e-879b-b55de9_D2
Tumor
0.1
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
0.1
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
0.1
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
0.0
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
0.0
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
0.0
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
0.0
1772e913-f62e-446a-8cf3-720348_D2
Tumor
0.0
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
0.0
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
0.0
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
0.0
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
0.0
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
0.0
2f901c90-617e-46da-9fac-d68369_D2
Tumor
0.0
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
0.0
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
0.0
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
-0.1
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
-0.1
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
-0.1
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
-0.1
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-0.1
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
-0.1
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
-0.1
10c2d629-0287-4511-ac25-f29031_D2
Tumor
-0.1
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
-0.1
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
-0.1
15524912-685a-47ce-a824-567848_D2
Tumor
-0.1
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
-0.1
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
-0.1
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
-0.1
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
-0.1
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
-0.1
a65d8e76-640f-4341-a561-afbb57_D2
Normal
-0.1
340a3769-3031-41ae-bb08-a2f696_D2
Normal
-0.1
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
-0.1
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
-0.2
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-0.2
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
-0.2
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
-0.2
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-0.2
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
-0.2
1db5574d-aca7-403c-8100-6e705f_D2
Normal
-0.2
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
-0.2
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
-0.2
1a10c200-3895-4648-b951-94f99f_D2
Tumor
-0.2
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
-0.3
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
-0.3
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
-0.3
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
-0.3
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
-0.3
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
-0.3
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
-0.3
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
-0.3
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
-0.3
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
-0.3
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
-0.3
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
-0.3
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
-0.3
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
-0.3
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
-0.3
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
-0.4
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
-0.4
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
-0.4
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
-0.4
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
-0.4
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
-0.4
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
-0.5
a3a26070-fb84-406a-8280-d555e6_D2
Normal
-0.5
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
-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
