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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.
RPS3 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
2347.1
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
9620.0
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
8093.5
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
7684.3
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
7565.7
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
7495.0
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
6691.7
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
6291.5
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
6234.1
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
5951.9
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
5661.7
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
5619.4
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
5582.6
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
5461.2
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
5308.3
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
5273.9
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
5181.7
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
5150.2
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
5080.0
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
4957.4
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
4937.4
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
4829.2
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
4772.5
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
4748.9
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
4717.8
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
4702.6
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
4547.5
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
4547.2
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
4547.2
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
4541.6
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
4401.6
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
4347.7
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
4276.2
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
4225.9
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
4042.2
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
3959.9
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
3947.3
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
3831.8
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
3801.7
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
3775.0
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
3769.7
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
3726.4
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
3712.1
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
3710.2
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
3703.7
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
3703.2
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
3668.4
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
3620.4
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
3617.0
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
3602.3
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
3577.3
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
3576.4
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
3573.4
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
3571.5
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
3554.8
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
3553.8
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
3551.8
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
3528.1
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
3521.3
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
3464.6
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
3453.9
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
3453.8
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
3434.7
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
3410.1
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
3386.4
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
3379.5
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
3322.9
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
3316.9
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
3310.5
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
3284.2
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
3272.0
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
3258.8
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
3254.9
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
3230.5
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
3229.5
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
3227.5
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
3224.9
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
3220.1
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
3215.4
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
3207.5
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
3189.9
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
3163.2
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
3156.9
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
3119.8
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
3117.8
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
3111.4
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
3060.5
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
3047.7
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
3042.9
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
3025.9
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
3013.4
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
2993.0
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
2972.6
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
2959.1
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
2954.0
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
2928.1
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
2868.9
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
2848.7
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
2844.0
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
2839.2
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
2815.1
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
2808.4
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
2797.4
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
2759.5
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
2719.7
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
2711.0
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
2708.3
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
2684.7
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
2677.6
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
2672.4
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
2671.3
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
2660.8
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
2657.1
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
2654.3
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
2640.5
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
2635.6
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
2627.1
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
2613.9
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
2609.6
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
2596.2
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
2595.6
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
2592.2
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
2586.8
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
2583.0
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
2547.3
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
2529.7
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
2524.1
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
2500.2
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
2498.6
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
2452.8
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
2438.5
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
2420.4
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
2415.5
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
2390.2
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
2389.5
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
2388.8
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
2363.3
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
2361.4
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
2356.5
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
2323.9
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
2322.5
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
2320.3
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
2303.0
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
2298.6
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
2283.5
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
2270.9
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
2246.2
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
2235.0
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
2226.0
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
2221.5
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
2218.6
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
2216.9
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
2203.9
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
2200.6
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
2188.1
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
2179.9
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
2175.6
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
2168.2
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
2163.7
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
2159.1
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
2145.7
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
2131.2
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
2115.6
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
2109.3
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
2106.7
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
2102.6
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
2094.4
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
2074.1
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
2070.3
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
2063.7
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
2054.6
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
2042.5
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
2037.8
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
2021.4
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
2017.8
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
2003.9
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
2003.0
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
1999.4
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
1994.2
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
1993.3
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
1936.7
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
1933.7
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
1933.2
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
1926.2
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
1916.9
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
1907.6
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
1882.7
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
1880.5
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
1879.7
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
1871.0
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
1865.9
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
1844.0
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
1839.6
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
1839.1
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
1835.4
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
1833.3
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
1823.1
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
1813.9
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
1805.3
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
1797.4
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
1797.3
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
1793.1
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
1789.2
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
1762.1
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
1749.6
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
1734.1
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
1725.5
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
1725.5
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
1720.6
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
1713.5
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
1706.0
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
1704.6
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
1698.3
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
1694.9
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
1688.2
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
1682.7
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
1673.4
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
1672.2
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
1650.1
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
1646.4
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
1631.9
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
1628.5
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
1626.1
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
1621.8
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
1605.9
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
1600.3
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
1597.6
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
1596.1
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
1593.6
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
1591.3
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
1590.2
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
1572.4
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
1571.9
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
1566.6
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
1560.8
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
1553.4
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
1548.1
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
1547.6
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
1521.8
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
1518.4
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
1501.8
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
1497.1
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
1490.8
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
1489.4
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
1489.0
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
1470.8
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
1468.2
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
1467.8
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
1467.0
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
1462.6
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
1445.7
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
1437.9
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
1435.4
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
1421.9
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
1421.7
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
1419.0
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
1402.6
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
1400.7
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
1399.1
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
1393.9
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
1393.8
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
1387.3
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
1386.3
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
1377.9
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
1370.4
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
1367.9
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
1357.6
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
1352.0
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
1348.7
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
1343.2
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
1339.3
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
1314.6
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
1280.1
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
1273.3
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
1271.4
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
1265.9
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
1264.1
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
1261.7
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
1260.5
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
1258.3
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
1257.9
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
1244.2
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
1243.7
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
1233.8
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
1233.4
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
1226.7
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
1221.7
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
1207.0
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
1200.3
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
1189.8
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
1184.4
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
1182.9
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
1171.6
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
1170.0
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
1147.7
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
1134.6
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
1126.9
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
1117.6
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
1104.3
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
1090.8
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
1089.8
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
1089.3
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
1084.2
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
1076.2
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
1069.3
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
1069.0
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
1066.8
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
1065.3
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
1061.9
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
1055.1
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
1051.1
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
1041.8
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
1033.6
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
1029.1
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
1015.1
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
1014.6
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
1006.5
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
981.4
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
974.9
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
962.3
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
929.7
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
924.6
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
924.3
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
906.7
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
901.8
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
896.0
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
884.1
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
847.9
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
836.9
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
818.4
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
800.9
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
794.2
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
785.2
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
784.6
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
781.9
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
772.0
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
755.7
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
741.4
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
727.3
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
720.4
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
686.0
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
626.7
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
616.2
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
583.9
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
578.4
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
566.2
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
542.6
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
515.0
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
423.8
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.
RPS3 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
3346.6
Number of samples
81
Samples
Sample
Description
pTPM
DO46356
68 years, female, NA, stage:III, dead, 911 days
7285.1
DO46390
65 years, female, NA, stage:III, dead, 374 days
7143.6
DO46384
55 years, female, NA, stage:III, dead, 614 days
6905.9
DO46331
72 years, female, NA, stage:III, dead, 612 days
6433.4
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
6420.8
DO46333
58 years, female, NA, stage:III, dead, 359 days
6090.4
DO46328
52 years, female, NA, stage:III, dead, 972 days
5698.4
DO46538
57 years, female, NA, stage:III, dead, 1527 days
5614.7
DO46453
66 years, female, NA, stage:III, dead, 3294 days
5597.5
DO46338
59 years, female, NA, stage:III, dead, 596 days
5257.8
DO46611
52 years, female, NA, stage:III, dead, 734 days
5161.9
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
5092.2
DO46463
49 years, female, NA, stage:III, dead, 2451 days
5066.2
DO46370
54 years, female, NA, stage:III, dead, 1727 days
5010.7
DO46493
62 years, female, NA, stage:IV, alive, 839 days
4886.9
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
4466.8
DO46518
62 years, female, NA, stage:III, alive, 2960 days
4444.0
DO46581
66 years, female, NA, stage:III, dead, 408 days
4407.0
DO46533
46 years, female, NA, stage:III, alive, 3667 days
4308.5
DO46329
52 years, female, NA, stage:III, dead, 1699 days
4223.1
DO46380
51 years, female, NA, stage:III, dead, 1423 days
4192.0
DO46576
75 years, female, NA, stage:III, alive, 133 days
4161.5
DO46443
59 years, female, NA, stage:III, dead, 2464 days
4102.5
DO46591
58 years, female, NA, stage:III, dead, 195 days
4060.4
DO46392
48 years, female, NA, stage:III, dead, 628 days
3920.2
DO46366
65 years, female, NA, stage:III, dead, 2054 days
3911.7
DO46508
50 years, female, NA, stage:III, dead, 2101 days
3792.2
DO46326
51 years, female, NA, stage:III, dead, 701 days
3771.4
DO46364
45 years, female, NA, stage:III, dead, 806 days
3673.5
DO46342
67 years, female, NA, stage:III, dead, 1398 days
3648.7
DO46362
61 years, female, NA, stage:III, dead, 1639 days
3598.0
DO46378
59 years, female, NA, stage:III, alive, 843 days
3549.6
DO46597
60 years, female, NA, stage:III, dead, 393 days
3497.7
DO46404
55 years, female, NA, stage:III, dead, 690 days
3470.7
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
3439.4
DO46566
78 years, female, NA, stage:III, dead, 673 days
3425.0
DO46568
66 years, female, NA, stage:III, dead, 320 days
3353.2
DO46325
54 years, female, NA, stage:III, dead, 477 days
3301.8
DO46376
58 years, female, NA, stage:III, dead, 1430 days
3245.7
DO46334
77 years, female, NA, stage:III, dead, 496 days
3214.5
DO46352
60 years, female, NA, stage:III, dead, 677 days
3213.8
DO46561
52 years, female, NA, stage:III, dead, 195 days
3166.0
DO46560
45 years, female, NA, stage:IV, dead, 286 days
3102.0
DO46586
55 years, female, NA, stage:III, dead, 1019 days
3062.0
DO46336
70 years, female, NA, stage:IV, dead, 664 days
2988.2
DO46346
54 years, female, NA, stage:III, dead, 1187 days
2956.3
DO46327
54 years, female, NA, stage:III, dead, 184 days
2809.6
DO46330
60 years, female, NA, stage:III, dead, 684 days
2729.9
DO46344
46 years, female, NA, stage:III, dead, 642 days
2714.7
DO46400
70 years, female, NA, stage:III, dead, 719 days
2602.4
DO46354
73 years, female, NA, stage:III, dead, 843 days
2493.4
DO46448
45 years, female, NA, stage:III, dead, 654 days
2460.4
DO46402
77 years, female, NA, stage:III, dead, 511 days
2458.8
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
2365.5
DO46372
39 years, female, NA, stage:III, dead, 1326 days
2364.5
DO46374
69 years, female, NA, stage:III, dead, 1409 days
2334.4
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
2324.2
DO46551
58 years, female, NA, stage:III, dead, 1055 days
2318.4
DO46386
49 years, female, NA, stage:III, dead, 1162 days
2287.5
DO46528
56 years, female, NA, stage:III, alive, 6139 days
2263.9
DO46382
62 years, female, NA, stage:IV, dead, 311 days
2112.7
DO46388
74 years, female, NA, stage:III, dead, 413 days
2100.2
DO46546
73 years, female, NA, stage:III, dead, 1889 days
2054.2
DO46588
74 years, female, NA, stage:III, dead, 438 days
2042.3
DO46398
66 years, female, NA, stage:III, alive, 437 days
1908.3
DO46571
61 years, female, NA, stage:III, dead, 243 days
1892.1
DO46606
73 years, female, NA, stage:III, alive, 804 days
1856.9
DO46350
66 years, female, NA, stage:III, dead, 886 days
1762.6
DO46348
58 years, female, NA, stage:IV, dead, 287 days
1754.0
DO46368
57 years, female, NA, stage:III, dead, 2879 days
1711.3
DO46602
74 years, female, NA, stage:III, dead, 205 days
1659.4
DO46432
56 years, female, NA, stage:III, alive, 2218 days
1634.5
DO46412
64 years, female, NA, stage:III, dead, 597 days
1632.6
DO46332
56 years, female, NA, stage:III, dead, 689 days
1623.8
DO46396
64 years, female, NA, stage:III, dead, 583 days
1593.2
DO46340
62 years, female, NA, stage:III, dead, 616 days
1584.2
DO46358
60 years, female, NA, stage:III, dead, 423 days
1485.8
DO46436
58 years, female, NA, stage:III, alive, 3193 days
1467.6
DO46468
67 years, female, NA, stage:III, alive, 2776 days
1461.2
DO46408
56 years, female, NA, stage:III, dead, 489 days
1283.4
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
602.2
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
0.9
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
0.9
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
0.8
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
0.8
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
0.8
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
0.8
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
0.7
161317f3-1a39-438e-af45-cd2502_D2
Tumor
0.7
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
0.7
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
0.7
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
0.7
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
0.6
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
0.6
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
0.6
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
0.6
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
0.6
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
0.6
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
0.6
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
0.6
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
0.5
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
0.5
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
0.5
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
0.5
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
0.5
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
0.5
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
0.5
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
0.4
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
0.4
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
0.4
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
0.4
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
0.4
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
0.4
285fed94-1495-448e-879b-b55de9_D2
Tumor
0.4
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
0.4
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
0.4
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
0.4
15524912-685a-47ce-a824-567848_D2
Tumor
0.4
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
0.4
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
0.4
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
0.4
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
0.4
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
0.4
2f901c90-617e-46da-9fac-d68369_D2
Tumor
0.4
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
0.4
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
0.4
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
0.3
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
0.3
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
0.3
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
0.3
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
0.3
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
0.3
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
0.3
1a10c200-3895-4648-b951-94f99f_D2
Tumor
0.3
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
0.3
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
0.3
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
0.3
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
0.3
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
0.3
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
0.3
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
0.3
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
0.3
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
0.3
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
0.3
10c2d629-0287-4511-ac25-f29031_D2
Tumor
0.3
1772e913-f62e-446a-8cf3-720348_D2
Tumor
0.3
e9d416e7-f661-400a-896e-388545_D2
Tumor
0.3
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
0.3
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
0.3
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
0.2
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
0.2
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
0.2
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
0.2
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
0.2
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
0.2
a3a26070-fb84-406a-8280-d555e6_D2
Normal
0.2
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
0.2
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
0.2
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
0.2
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
0.1
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
0.1
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
0.1
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
0.1
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
0.1
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
0.1
a65d8e76-640f-4341-a561-afbb57_D2
Normal
0.1
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
0.1
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
0.1
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
0.1
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
0.1
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
0.1
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
0.0
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
0.0
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
0.0
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
0.0
340a3769-3031-41ae-bb08-a2f696_D2
Normal
0.0
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
0.0
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
0.0
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
0.0
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
-0.1
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
-0.1
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-0.1
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-0.1
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
-0.1
1db5574d-aca7-403c-8100-6e705f_D2
Normal
-0.2
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-0.3
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
-0.3
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
-0.3
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
-0.5
Show allShow less
OVARIAN CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
