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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.
RPLP1 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
5176.1
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
24378.7
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
18770.6
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
14872.8
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
14361.2
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
13660.0
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
13576.7
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
13418.9
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
13326.7
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
13304.9
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
12388.4
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
12277.7
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
12021.4
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
11915.8
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
11909.8
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
11808.0
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
11699.4
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
11520.3
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
11417.9
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
11180.1
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
11134.3
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
11052.8
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
11032.1
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
10993.7
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
10487.2
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
10365.6
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
10141.2
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
10109.0
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
9980.7
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
9954.7
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
9923.2
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
9888.9
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
9834.0
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
9585.6
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
9249.9
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
9188.9
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
9125.4
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
9066.6
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
8916.5
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
8899.9
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
8860.2
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
8823.5
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
8811.7
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
8718.9
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
8613.9
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
8586.0
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
8557.6
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
8490.7
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
8473.4
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
8456.0
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
8440.2
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
8390.1
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
8074.7
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
8027.6
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
8024.5
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
7984.9
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
7959.2
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
7956.4
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
7708.8
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
7668.3
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
7668.0
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
7599.7
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
7575.1
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
7564.0
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
7557.1
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
7537.9
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
7485.8
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
7481.8
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
7465.2
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
7461.8
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
7379.4
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
7336.1
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
7294.6
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
7089.8
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
7061.7
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
7060.4
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
7001.4
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
6980.3
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
6942.0
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
6918.3
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
6840.5
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
6805.6
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
6783.8
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
6767.3
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
6763.6
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
6753.1
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
6667.9
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
6617.2
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
6604.9
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
6478.2
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
6467.2
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
6376.1
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
6373.2
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
6363.3
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
6347.6
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
6312.2
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
6298.8
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
6291.0
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
6286.4
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
6229.0
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
6226.0
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
6204.9
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
6156.4
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
6152.2
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
6141.5
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
6121.3
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
6057.7
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
6038.2
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
6008.8
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
5945.3
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
5901.7
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
5868.0
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
5836.0
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
5801.2
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
5797.4
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
5686.4
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
5637.6
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
5632.6
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
5606.8
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
5588.8
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
5531.9
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
5521.7
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
5520.6
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
5514.0
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
5510.5
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
5498.5
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
5497.6
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
5485.2
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
5479.2
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
5468.3
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
5462.9
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
5451.6
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
5431.9
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
5336.9
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
5333.4
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
5322.4
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
5304.0
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
5246.9
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
5180.2
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
5173.1
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
5148.0
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
5136.0
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
5122.3
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
5023.8
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
5012.9
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
4928.6
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
4898.2
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
4895.1
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
4844.0
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
4837.3
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
4814.4
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
4803.2
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
4799.2
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
4788.5
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
4788.0
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
4767.3
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
4766.7
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
4760.7
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
4741.4
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
4726.4
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
4632.0
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
4625.5
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
4605.7
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
4600.6
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
4555.3
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
4545.4
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
4539.7
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
4527.5
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
4506.0
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
4493.3
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
4488.3
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
4467.4
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
4392.1
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
4377.2
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
4374.4
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
4373.1
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
4361.1
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
4354.7
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
4354.0
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
4293.3
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
4286.7
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
4267.6
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
4260.9
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
4220.6
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
4219.8
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
4195.6
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
4158.7
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
4150.2
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
4141.1
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
4136.7
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
4133.5
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
4106.8
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
4059.0
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
4056.5
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
4030.8
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
4020.5
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
4001.9
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
3987.0
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
3961.7
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
3956.2
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
3952.9
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
3942.9
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
3936.5
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
3906.0
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
3903.9
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
3860.9
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
3850.5
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
3819.8
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
3724.7
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
3709.8
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
3705.9
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
3692.5
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
3666.2
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
3650.2
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
3647.3
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
3644.9
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
3640.4
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
3610.0
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
3609.0
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
3604.6
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
3590.6
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
3586.6
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
3558.5
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
3540.9
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
3531.0
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
3530.0
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
3511.0
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
3475.1
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
3470.0
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
3466.0
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
3408.5
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
3404.5
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
3400.9
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
3392.2
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
3391.7
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
3374.5
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
3364.2
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
3335.6
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
3313.9
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
3313.3
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
3306.4
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
3293.9
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
3260.2
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
3231.4
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
3224.8
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
3204.7
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
3169.0
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
3157.6
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
3150.1
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
3138.5
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
3137.2
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
3103.1
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
3078.9
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
3066.1
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
3033.9
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
3031.5
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
3027.0
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
3013.0
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
3012.1
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
3002.0
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
2998.1
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
2925.8
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
2877.0
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
2874.8
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
2864.7
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
2841.1
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
2834.4
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
2820.8
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
2798.8
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
2786.7
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
2780.3
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
2768.9
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
2752.2
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
2740.3
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
2706.3
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
2702.9
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
2692.2
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
2687.8
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
2676.3
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
2665.8
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
2660.2
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
2652.2
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
2649.8
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
2648.3
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
2634.0
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
2608.5
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
2589.7
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
2588.4
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
2587.8
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
2575.2
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
2548.3
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
2547.6
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
2546.1
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
2545.6
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
2538.8
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
2494.1
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
2490.8
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
2488.3
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
2464.9
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
2423.6
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
2418.4
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
2415.2
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
2389.8
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
2370.8
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
2343.5
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
2297.9
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
2279.7
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
2269.0
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
2234.4
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
2230.4
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
2225.8
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
2218.1
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
2196.0
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
2169.4
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
2162.2
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
2122.3
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
2119.9
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
2099.9
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
2081.4
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
2048.0
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
2041.9
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
1995.8
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
1989.1
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
1980.1
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
1977.9
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
1950.5
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
1948.8
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
1917.7
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
1902.8
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
1887.2
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
1874.3
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
1872.1
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
1847.7
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
1832.0
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
1816.1
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
1795.5
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
1730.4
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
1700.3
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
1680.3
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
1665.4
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
1652.6
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
1594.8
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
1576.9
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
1560.2
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
1548.3
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
1427.9
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
1390.7
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
1346.5
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
1090.4
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 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.
RPLP1 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
2640.0
Number of samples
81
Samples
Sample
Description
pTPM
DO46331
72 years, female, NA, stage:III, dead, 612 days
12346.7
DO46518
62 years, female, NA, stage:III, alive, 2960 days
11837.9
DO46384
55 years, female, NA, stage:III, dead, 614 days
10824.9
DO46333
58 years, female, NA, stage:III, dead, 359 days
6674.5
DO46538
57 years, female, NA, stage:III, dead, 1527 days
5583.2
DO46356
68 years, female, NA, stage:III, dead, 911 days
4865.5
DO46586
55 years, female, NA, stage:III, dead, 1019 days
4552.5
DO46366
65 years, female, NA, stage:III, dead, 2054 days
4519.7
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
4154.6
DO46568
66 years, female, NA, stage:III, dead, 320 days
4000.6
DO46328
52 years, female, NA, stage:III, dead, 972 days
3908.3
DO46342
67 years, female, NA, stage:III, dead, 1398 days
3763.7
DO46463
49 years, female, NA, stage:III, dead, 2451 days
3671.8
DO46551
58 years, female, NA, stage:III, dead, 1055 days
3649.4
DO46611
52 years, female, NA, stage:III, dead, 734 days
3375.7
DO46338
59 years, female, NA, stage:III, dead, 596 days
3329.0
DO46576
75 years, female, NA, stage:III, alive, 133 days
3292.9
DO46390
65 years, female, NA, stage:III, dead, 374 days
3065.9
DO46581
66 years, female, NA, stage:III, dead, 408 days
3014.0
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
2952.2
DO46404
55 years, female, NA, stage:III, dead, 690 days
2950.5
DO46376
58 years, female, NA, stage:III, dead, 1430 days
2940.9
DO46402
77 years, female, NA, stage:III, dead, 511 days
2871.3
DO46346
54 years, female, NA, stage:III, dead, 1187 days
2831.8
DO46546
73 years, female, NA, stage:III, dead, 1889 days
2794.2
DO46388
74 years, female, NA, stage:III, dead, 413 days
2704.5
DO46330
60 years, female, NA, stage:III, dead, 684 days
2654.7
DO46364
45 years, female, NA, stage:III, dead, 806 days
2558.7
DO46352
60 years, female, NA, stage:III, dead, 677 days
2428.8
DO46533
46 years, female, NA, stage:III, alive, 3667 days
2341.1
DO46566
78 years, female, NA, stage:III, dead, 673 days
2327.0
DO46443
59 years, female, NA, stage:III, dead, 2464 days
2319.3
DO46468
67 years, female, NA, stage:III, alive, 2776 days
2317.1
DO46597
60 years, female, NA, stage:III, dead, 393 days
2283.4
DO46508
50 years, female, NA, stage:III, dead, 2101 days
2252.2
DO46344
46 years, female, NA, stage:III, dead, 642 days
2242.5
DO46392
48 years, female, NA, stage:III, dead, 628 days
2224.9
DO46432
56 years, female, NA, stage:III, alive, 2218 days
2198.7
DO46453
66 years, female, NA, stage:III, dead, 3294 days
2167.2
DO46380
51 years, female, NA, stage:III, dead, 1423 days
2121.5
DO46326
51 years, female, NA, stage:III, dead, 701 days
2081.1
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
2054.9
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
1983.1
DO46372
39 years, female, NA, stage:III, dead, 1326 days
1965.4
DO46362
61 years, female, NA, stage:III, dead, 1639 days
1953.8
DO46350
66 years, female, NA, stage:III, dead, 886 days
1941.3
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
1915.7
DO46591
58 years, female, NA, stage:III, dead, 195 days
1894.7
DO46368
57 years, female, NA, stage:III, dead, 2879 days
1889.3
DO46602
74 years, female, NA, stage:III, dead, 205 days
1888.8
DO46378
59 years, female, NA, stage:III, alive, 843 days
1802.2
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
1798.6
DO46334
77 years, female, NA, stage:III, dead, 496 days
1764.6
DO46588
74 years, female, NA, stage:III, dead, 438 days
1752.7
DO46386
49 years, female, NA, stage:III, dead, 1162 days
1714.0
DO46332
56 years, female, NA, stage:III, dead, 689 days
1640.4
DO46354
73 years, female, NA, stage:III, dead, 843 days
1619.0
DO46528
56 years, female, NA, stage:III, alive, 6139 days
1483.6
DO46561
52 years, female, NA, stage:III, dead, 195 days
1481.2
DO46370
54 years, female, NA, stage:III, dead, 1727 days
1407.4
DO46571
61 years, female, NA, stage:III, dead, 243 days
1402.3
DO46348
58 years, female, NA, stage:IV, dead, 287 days
1377.7
DO46325
54 years, female, NA, stage:III, dead, 477 days
1363.2
DO46336
70 years, female, NA, stage:IV, dead, 664 days
1319.7
DO46412
64 years, female, NA, stage:III, dead, 597 days
1298.1
DO46560
45 years, female, NA, stage:IV, dead, 286 days
1288.9
DO46493
62 years, female, NA, stage:IV, alive, 839 days
1277.2
DO46340
62 years, female, NA, stage:III, dead, 616 days
1257.0
DO46329
52 years, female, NA, stage:III, dead, 1699 days
1238.4
DO46448
45 years, female, NA, stage:III, dead, 654 days
1235.6
DO46382
62 years, female, NA, stage:IV, dead, 311 days
1229.8
DO46398
66 years, female, NA, stage:III, alive, 437 days
1220.5
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
1206.1
DO46327
54 years, female, NA, stage:III, dead, 184 days
1190.2
DO46606
73 years, female, NA, stage:III, alive, 804 days
1188.9
DO46358
60 years, female, NA, stage:III, dead, 423 days
1181.1
DO46400
70 years, female, NA, stage:III, dead, 719 days
1110.5
DO46436
58 years, female, NA, stage:III, alive, 3193 days
993.8
DO46396
64 years, female, NA, stage:III, dead, 583 days
939.3
DO46374
69 years, female, NA, stage:III, dead, 1409 days
791.8
DO46408
56 years, female, NA, stage:III, dead, 489 days
785.5
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OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
2.0
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
1.8
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
1.8
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
1.6
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
1.6
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
1.6
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
1.5
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
1.5
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
1.5
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
1.5
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
1.5
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
1.5
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
1.4
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
1.4
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
1.4
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
1.4
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
1.4
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
1.4
15524912-685a-47ce-a824-567848_D2
Tumor
1.4
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
1.3
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
1.3
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
1.3
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
1.3
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
1.3
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
1.3
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
1.3
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
1.2
e9d416e7-f661-400a-896e-388545_D2
Tumor
1.2
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
1.2
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
1.2
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
1.2
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
1.2
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
1.2
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
1.1
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
1.1
2f901c90-617e-46da-9fac-d68369_D2
Tumor
1.1
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
1.1
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
1.1
10c2d629-0287-4511-ac25-f29031_D2
Tumor
1.1
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
1.1
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
1.0
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
1.0
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
1.0
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
1.0
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
1.0
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
1.0
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
1.0
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
1.0
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
1.0
285fed94-1495-448e-879b-b55de9_D2
Tumor
1.0
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
0.9
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
0.9
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
0.9
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
0.9
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
0.9
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
0.9
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
0.8
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
0.8
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
0.8
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
0.8
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
0.8
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
0.8
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
0.8
161317f3-1a39-438e-af45-cd2502_D2
Tumor
0.8
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
0.8
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
0.8
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
0.7
340a3769-3031-41ae-bb08-a2f696_D2
Normal
0.7
a3a26070-fb84-406a-8280-d555e6_D2
Normal
0.7
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
0.7
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
0.7
1a10c200-3895-4648-b951-94f99f_D2
Tumor
0.7
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
0.7
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
0.7
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
0.7
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
0.7
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
0.6
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
0.6
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
0.6
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
0.6
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
0.6
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
0.6
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
0.5
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
0.5
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
0.5
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
0.5
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
0.5
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
0.5
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
0.4
1772e913-f62e-446a-8cf3-720348_D2
Tumor
0.4
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
0.3
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
0.3
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
0.3
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
0.3
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
0.3
a65d8e76-640f-4341-a561-afbb57_D2
Normal
0.3
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
0.3
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
0.3
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
0.3
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
0.2
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
0.2
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
0.1
21efd60f-6a31-4b98-9477-16a905_D2
Normal
0.0
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
0.0
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
-0.1
1db5574d-aca7-403c-8100-6e705f_D2
Normal
-0.1
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
-0.2
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-0.6
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OVARIAN CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.