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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.
RPS8 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
3741.1
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
11630.0
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
9623.8
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
9146.8
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
9022.6
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
8936.8
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
8815.2
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
8557.2
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
8364.2
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
8230.6
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
8191.9
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
8127.3
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
7909.2
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
7888.8
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
7736.5
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
7658.7
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
7620.4
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
7324.3
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
7171.6
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
7170.9
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
7124.1
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
7081.0
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
7079.3
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
7001.9
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
6954.3
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
6808.1
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
6686.9
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
6622.7
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
6432.9
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
6427.7
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
6353.9
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
6275.0
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
6046.9
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
5973.6
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
5935.1
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
5925.2
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
5884.4
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
5876.5
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
5859.5
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
5826.9
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
5808.2
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
5765.4
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
5751.6
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
5722.4
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
5696.4
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
5578.1
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
5533.8
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
5532.0
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
5440.5
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
5431.6
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
5429.7
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
5422.6
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
5405.5
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
5368.1
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
5317.8
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
5316.1
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
5298.6
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
5216.9
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
5209.1
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
5194.0
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
5184.8
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
5108.7
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
5102.6
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
5100.8
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
5079.0
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
5072.8
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
5038.7
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
4984.3
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
4982.6
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
4956.9
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
4937.8
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
4872.9
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
4863.8
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
4856.2
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
4818.1
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
4810.7
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
4794.9
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
4776.6
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
4757.5
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
4727.7
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
4717.7
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
4698.9
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
4694.2
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
4690.0
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
4689.0
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
4688.3
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
4651.8
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
4641.4
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
4585.4
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
4576.9
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
4475.6
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
4452.2
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
4436.6
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
4436.2
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
4406.7
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
4404.4
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
4398.5
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
4374.3
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
4373.6
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
4348.9
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
4336.3
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
4334.4
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
4309.3
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
4281.8
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
4262.6
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
4257.6
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
4255.1
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
4236.2
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
4233.6
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
4208.1
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
4206.4
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
4203.7
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
4198.8
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
4186.8
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
4160.7
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
4145.0
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
4117.8
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
4052.1
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
4043.1
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
4034.3
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
4021.5
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
4011.6
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
3997.9
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
3984.0
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
3983.8
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
3956.3
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
3931.8
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
3910.4
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
3899.8
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
3893.3
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
3890.7
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
3889.8
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
3872.3
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
3869.8
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
3832.2
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
3825.7
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
3818.0
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
3812.6
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
3804.8
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
3782.0
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
3759.9
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
3717.7
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
3701.4
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
3688.6
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
3688.1
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
3679.1
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
3676.2
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
3656.9
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
3653.7
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
3642.6
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
3635.1
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
3634.7
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
3628.8
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
3612.5
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
3582.4
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
3580.3
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
3566.9
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
3525.4
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
3506.0
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
3497.7
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
3496.7
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
3479.9
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
3468.3
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
3467.3
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
3418.1
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
3400.8
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
3393.4
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
3391.0
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
3340.8
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
3332.9
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
3326.8
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
3312.0
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
3304.5
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
3293.2
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
3276.8
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
3272.2
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
3264.5
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
3256.4
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
3240.2
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
3239.0
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
3220.8
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
3218.2
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
3210.0
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
3200.9
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
3194.3
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
3193.1
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
3184.4
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
3179.0
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
3169.9
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
3168.1
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
3161.2
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
3152.7
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
3143.0
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
3137.5
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
3136.2
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
3126.1
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
3103.8
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
3102.9
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
3079.1
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
3059.0
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
3051.3
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
3035.1
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
3017.3
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
3012.8
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
3009.4
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
3004.9
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
3004.9
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
2996.6
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
2979.0
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
2971.3
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
2959.4
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
2946.8
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
2943.5
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
2936.7
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
2935.3
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
2921.9
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
2920.3
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
2906.8
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
2899.1
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
2878.9
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
2856.1
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
2846.7
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
2834.9
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
2826.7
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
2826.4
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
2822.1
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
2813.8
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
2813.4
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
2795.4
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
2786.8
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
2769.2
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
2753.4
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
2744.3
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
2743.2
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
2740.5
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
2738.7
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
2730.8
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
2726.4
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
2726.0
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
2723.6
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
2721.9
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
2711.2
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
2707.7
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
2696.4
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
2689.1
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
2673.6
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
2670.4
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
2659.1
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
2653.1
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
2645.1
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
2641.4
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
2641.1
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
2640.4
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
2637.2
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
2630.7
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
2616.8
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
2606.8
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
2597.2
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
2596.2
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
2588.1
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
2583.3
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
2573.9
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
2568.5
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
2550.1
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
2532.4
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
2530.5
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
2520.2
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
2513.0
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
2508.3
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
2499.1
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
2471.8
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
2459.7
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
2448.5
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
2444.5
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
2441.3
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
2425.4
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
2417.1
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
2412.7
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
2411.0
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
2390.4
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
2390.3
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
2389.5
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
2384.4
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
2377.5
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
2371.4
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
2350.3
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
2332.6
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
2324.7
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
2306.9
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
2304.1
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
2297.3
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
2277.1
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
2251.6
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
2238.9
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
2237.5
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
2235.7
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
2213.1
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
2206.9
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
2205.1
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
2182.8
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
2164.3
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
2160.6
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
2155.7
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
2155.1
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
2148.3
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
2137.4
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
2129.2
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
2126.9
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
2083.6
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
2059.3
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
2045.9
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
2034.7
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
2033.4
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
2022.4
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
2017.8
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
2007.0
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
2004.8
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
1992.9
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
1974.4
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
1973.5
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
1967.6
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
1952.8
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
1945.7
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
1908.6
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
1874.1
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
1864.3
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
1860.2
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
1854.2
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
1847.5
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
1810.0
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
1760.2
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
1758.2
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
1715.7
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
1677.2
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
1663.0
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
1662.7
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
1651.5
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
1649.1
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
1637.1
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
1589.8
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
1566.0
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
1563.8
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
1525.9
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
1481.5
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
1449.7
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
1407.4
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
1333.2
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
1296.9
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
1187.0
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPS8 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
3128.5
Number of samples
81
Samples
Sample
Description
pTPM
DO46328
52 years, female, NA, stage:III, dead, 972 days
8866.9
DO46384
55 years, female, NA, stage:III, dead, 614 days
7285.9
DO46362
61 years, female, NA, stage:III, dead, 1639 days
7061.0
DO46370
54 years, female, NA, stage:III, dead, 1727 days
6906.3
DO46330
60 years, female, NA, stage:III, dead, 684 days
6254.1
DO46581
66 years, female, NA, stage:III, dead, 408 days
6250.0
DO46518
62 years, female, NA, stage:III, alive, 2960 days
6230.1
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
6118.5
DO46463
49 years, female, NA, stage:III, dead, 2451 days
5977.3
DO46331
72 years, female, NA, stage:III, dead, 612 days
5394.1
DO46402
77 years, female, NA, stage:III, dead, 511 days
5325.0
DO46568
66 years, female, NA, stage:III, dead, 320 days
4529.5
DO46390
65 years, female, NA, stage:III, dead, 374 days
4446.4
DO46352
60 years, female, NA, stage:III, dead, 677 days
4369.8
DO46356
68 years, female, NA, stage:III, dead, 911 days
4330.8
DO46366
65 years, female, NA, stage:III, dead, 2054 days
4270.5
DO46338
59 years, female, NA, stage:III, dead, 596 days
4175.6
DO46538
57 years, female, NA, stage:III, dead, 1527 days
4161.2
DO46326
51 years, female, NA, stage:III, dead, 701 days
3963.8
DO46611
52 years, female, NA, stage:III, dead, 734 days
3692.5
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
3598.9
DO46576
75 years, female, NA, stage:III, alive, 133 days
3554.1
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
3454.7
DO46358
60 years, female, NA, stage:III, dead, 423 days
3447.4
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
3353.4
DO46591
58 years, female, NA, stage:III, dead, 195 days
3314.9
DO46443
59 years, female, NA, stage:III, dead, 2464 days
3298.7
DO46376
58 years, female, NA, stage:III, dead, 1430 days
3279.9
DO46508
50 years, female, NA, stage:III, dead, 2101 days
2990.0
DO46342
67 years, female, NA, stage:III, dead, 1398 days
2985.1
DO46561
52 years, female, NA, stage:III, dead, 195 days
2976.1
DO46453
66 years, female, NA, stage:III, dead, 3294 days
2922.8
DO46346
54 years, female, NA, stage:III, dead, 1187 days
2903.0
DO46586
55 years, female, NA, stage:III, dead, 1019 days
2886.2
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
2885.4
DO46364
45 years, female, NA, stage:III, dead, 806 days
2862.6
DO46344
46 years, female, NA, stage:III, dead, 642 days
2836.0
DO46404
55 years, female, NA, stage:III, dead, 690 days
2826.6
DO46400
70 years, female, NA, stage:III, dead, 719 days
2813.9
DO46392
48 years, female, NA, stage:III, dead, 628 days
2808.2
DO46606
73 years, female, NA, stage:III, alive, 804 days
2747.5
DO46597
60 years, female, NA, stage:III, dead, 393 days
2722.4
DO46533
46 years, female, NA, stage:III, alive, 3667 days
2677.1
DO46378
59 years, female, NA, stage:III, alive, 843 days
2655.0
DO46588
74 years, female, NA, stage:III, dead, 438 days
2639.6
DO46560
45 years, female, NA, stage:IV, dead, 286 days
2590.0
DO46493
62 years, female, NA, stage:IV, alive, 839 days
2545.5
DO46334
77 years, female, NA, stage:III, dead, 496 days
2523.0
DO46408
56 years, female, NA, stage:III, dead, 489 days
2516.2
DO46566
78 years, female, NA, stage:III, dead, 673 days
2510.5
DO46354
73 years, female, NA, stage:III, dead, 843 days
2468.6
DO46551
58 years, female, NA, stage:III, dead, 1055 days
2399.9
DO46398
66 years, female, NA, stage:III, alive, 437 days
2339.6
DO46372
39 years, female, NA, stage:III, dead, 1326 days
2330.2
DO46388
74 years, female, NA, stage:III, dead, 413 days
2235.1
DO46333
58 years, female, NA, stage:III, dead, 359 days
2116.2
DO46528
56 years, female, NA, stage:III, alive, 6139 days
1988.1
DO46380
51 years, female, NA, stage:III, dead, 1423 days
1981.6
DO46432
56 years, female, NA, stage:III, alive, 2218 days
1954.8
DO46325
54 years, female, NA, stage:III, dead, 477 days
1920.7
DO46386
49 years, female, NA, stage:III, dead, 1162 days
1919.1
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
1885.2
DO46327
54 years, female, NA, stage:III, dead, 184 days
1879.0
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
1852.8
DO46329
52 years, female, NA, stage:III, dead, 1699 days
1849.2
DO46382
62 years, female, NA, stage:IV, dead, 311 days
1827.4
DO46468
67 years, female, NA, stage:III, alive, 2776 days
1809.5
DO46436
58 years, female, NA, stage:III, alive, 3193 days
1774.6
DO46374
69 years, female, NA, stage:III, dead, 1409 days
1711.9
DO46602
74 years, female, NA, stage:III, dead, 205 days
1671.2
DO46350
66 years, female, NA, stage:III, dead, 886 days
1657.1
DO46340
62 years, female, NA, stage:III, dead, 616 days
1570.2
DO46368
57 years, female, NA, stage:III, dead, 2879 days
1555.4
DO46546
73 years, female, NA, stage:III, dead, 1889 days
1548.7
DO46336
70 years, female, NA, stage:IV, dead, 664 days
1503.2
DO46412
64 years, female, NA, stage:III, dead, 597 days
1462.5
DO46396
64 years, female, NA, stage:III, dead, 583 days
1322.6
DO46571
61 years, female, NA, stage:III, dead, 243 days
1309.4
DO46332
56 years, female, NA, stage:III, dead, 689 days
1308.8
DO46348
58 years, female, NA, stage:IV, dead, 287 days
1265.7
DO46448
45 years, female, NA, stage:III, dead, 654 days
1261.7
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
1.0
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
0.9
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
0.9
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
0.9
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
0.8
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
0.8
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
0.8
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
0.8
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
0.7
285fed94-1495-448e-879b-b55de9_D2
Tumor
0.7
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
0.7
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
0.7
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
0.7
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
0.6
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
0.6
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
0.6
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
0.6
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
0.6
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
0.5
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
0.5
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
0.5
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
0.5
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
0.5
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
0.5
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
0.5
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
0.5
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
0.5
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
0.4
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
0.4
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
0.4
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
0.4
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
0.4
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
0.3
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
0.3
1a10c200-3895-4648-b951-94f99f_D2
Tumor
0.3
1db5574d-aca7-403c-8100-6e705f_D2
Normal
0.3
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
0.3
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
0.3
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
0.3
e9d416e7-f661-400a-896e-388545_D2
Tumor
0.3
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
0.3
a65d8e76-640f-4341-a561-afbb57_D2
Normal
0.3
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
0.3
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
0.3
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
0.3
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
0.3
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
0.2
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
0.2
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
0.2
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
0.2
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
0.2
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
0.2
10c2d629-0287-4511-ac25-f29031_D2
Tumor
0.2
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
0.2
15524912-685a-47ce-a824-567848_D2
Tumor
0.2
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
0.2
340a3769-3031-41ae-bb08-a2f696_D2
Normal
0.2
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
0.2
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
0.2
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
0.2
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
0.1
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
0.1
161317f3-1a39-438e-af45-cd2502_D2
Tumor
0.1
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
0.1
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
0.1
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
0.1
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
0.1
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
0.1
1772e913-f62e-446a-8cf3-720348_D2
Tumor
0.0
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
0.0
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
0.0
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
0.0
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
0.0
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
0.0
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
0.0
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
0.0
2f901c90-617e-46da-9fac-d68369_D2
Tumor
0.0
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
0.0
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
0.0
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
0.0
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
0.0
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
-0.1
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
-0.1
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
-0.1
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
-0.1
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
-0.1
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
-0.1
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
-0.1
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
-0.1
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
-0.2
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
-0.2
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
-0.2
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
-0.2
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
-0.2
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
-0.2
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-0.2
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
-0.2
a3a26070-fb84-406a-8280-d555e6_D2
Normal
-0.2
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
-0.3
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
-0.3
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
-0.3
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
-0.4
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-0.4
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-0.5
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
-0.5
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
-0.6
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
-0.6
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
-0.7
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.