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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.
RPS14 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
2261.1
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
7919.6
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
7704.8
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
6952.4
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
6865.2
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
6294.4
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
5858.6
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
5598.5
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
5452.6
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
5432.3
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
5270.7
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
5209.3
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
5081.9
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
5041.0
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
5019.7
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
4953.0
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
4949.3
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
4921.7
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
4886.6
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
4827.2
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
4806.5
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
4803.1
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
4607.1
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
4602.7
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
4561.8
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
4426.7
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
4355.8
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
4326.2
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
4323.1
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
4286.7
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
4267.3
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
4259.3
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
4255.1
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
4232.9
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
4159.2
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
4156.8
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
4153.8
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
4019.3
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
3983.8
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
3966.0
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
3938.6
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
3935.1
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
3928.8
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
3861.2
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
3858.7
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
3785.7
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
3767.1
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
3755.2
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
3724.1
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
3724.0
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
3680.3
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
3654.0
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
3605.8
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
3531.0
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
3503.4
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
3449.7
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
3431.9
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
3411.0
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
3371.9
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
3351.2
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
3347.6
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
3331.6
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
3307.0
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
3276.7
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
3224.0
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
3188.6
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
3188.6
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
3167.8
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
3163.5
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
3134.6
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
3132.4
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
3119.0
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
3101.5
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
3091.9
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
3066.4
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
3029.5
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
3011.7
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
2988.4
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
2932.7
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
2927.3
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
2911.7
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
2906.2
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
2891.4
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
2888.8
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
2883.2
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
2883.2
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
2882.3
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
2880.6
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
2869.3
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
2842.4
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
2823.6
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
2790.3
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
2781.4
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
2773.0
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
2765.5
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
2759.5
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
2723.9
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
2713.3
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
2705.8
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
2699.0
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
2698.7
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
2697.3
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
2694.5
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
2691.2
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
2677.5
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
2673.8
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
2671.2
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
2667.0
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
2656.9
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
2655.7
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
2654.2
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
2640.2
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
2637.4
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
2609.8
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
2607.8
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
2580.0
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
2568.2
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
2550.6
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
2549.8
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
2536.9
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
2535.9
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
2528.6
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
2508.3
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
2499.3
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
2494.8
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
2481.6
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
2477.9
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
2425.6
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
2419.7
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
2409.5
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
2394.8
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
2378.9
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
2354.6
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
2344.8
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
2331.8
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
2319.0
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
2310.6
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
2276.6
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
2265.2
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
2256.0
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
2251.8
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
2230.3
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
2226.0
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
2192.3
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
2172.3
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
2162.5
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
2127.9
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
2126.2
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
2121.6
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
2119.0
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
2118.0
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
2117.4
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
2098.4
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
2093.7
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
2086.6
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
2082.3
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
2071.5
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
2054.7
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
2039.5
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
2037.1
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
2030.2
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
2026.1
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
2008.2
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
1984.3
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
1983.3
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
1980.1
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
1974.0
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
1965.1
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
1962.0
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
1959.7
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
1942.0
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
1927.8
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
1914.9
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
1896.4
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
1891.0
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
1884.1
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
1881.1
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
1875.5
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
1874.2
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
1855.9
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
1851.5
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
1841.4
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
1838.1
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
1836.0
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
1833.3
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
1829.6
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
1821.2
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
1809.3
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
1785.7
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
1783.2
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
1780.8
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
1778.8
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
1767.5
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
1755.7
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
1754.0
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
1747.1
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
1735.6
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
1726.5
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
1717.7
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
1717.3
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
1714.2
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
1700.7
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
1700.0
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
1694.6
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
1688.2
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
1686.0
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
1681.3
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
1677.4
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
1675.9
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
1675.8
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
1673.2
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
1666.9
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
1663.5
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
1660.9
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
1654.7
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
1645.3
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
1642.9
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
1621.3
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
1621.1
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
1617.3
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
1614.0
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
1605.4
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
1590.2
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
1590.1
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
1581.2
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
1573.7
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
1567.3
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
1562.7
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
1560.6
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
1547.7
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
1545.2
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
1536.4
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
1530.6
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
1516.5
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
1512.8
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
1495.6
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
1494.0
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
1489.7
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
1487.7
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
1484.6
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
1460.2
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
1460.1
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
1458.2
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
1443.5
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
1426.6
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
1419.3
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
1413.9
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
1411.6
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
1401.9
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
1399.9
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
1396.6
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
1394.2
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
1380.1
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
1377.1
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
1373.3
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
1367.7
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
1357.8
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
1347.9
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
1340.9
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
1336.2
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
1323.5
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
1317.5
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
1312.7
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
1309.0
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
1307.3
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
1305.7
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
1294.6
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
1289.1
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
1284.0
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
1277.2
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
1257.5
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
1254.7
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
1250.3
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
1244.0
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
1231.7
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
1228.5
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
1225.1
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
1224.9
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
1216.8
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
1197.4
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
1194.1
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
1193.1
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
1193.0
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
1190.6
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
1185.3
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
1168.5
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
1163.7
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
1160.2
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
1148.4
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
1147.3
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
1138.4
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
1131.2
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
1130.5
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
1116.0
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
1114.5
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
1109.6
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
1098.5
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
1090.1
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
1088.9
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
1077.2
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
1059.8
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
1054.4
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
1054.2
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
1053.1
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
1051.0
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
1050.5
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
1046.2
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
1045.5
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
1037.4
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
1030.4
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
1024.1
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
1023.4
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
1021.4
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
1018.9
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
1016.8
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
997.6
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
997.1
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
966.6
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
958.6
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
953.9
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
943.6
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
940.2
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
937.9
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
910.5
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
904.6
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
899.3
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
872.2
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
869.6
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
866.5
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
863.7
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
855.8
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
855.2
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
836.0
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
801.8
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
800.4
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
799.6
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
794.1
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
792.4
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
745.5
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
742.6
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
742.5
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
740.2
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
693.8
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
692.2
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
660.5
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
587.2
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
573.1
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
552.8
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
533.0
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 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.
RPS14 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
2122.3
Number of samples
81
Samples
Sample
Description
pTPM
DO46390
65 years, female, NA, stage:III, dead, 374 days
6706.1
DO46370
54 years, female, NA, stage:III, dead, 1727 days
4970.9
DO46568
66 years, female, NA, stage:III, dead, 320 days
4445.9
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
4052.6
DO46581
66 years, female, NA, stage:III, dead, 408 days
3961.4
DO46331
72 years, female, NA, stage:III, dead, 612 days
3944.1
DO46356
68 years, female, NA, stage:III, dead, 911 days
3900.3
DO46384
55 years, female, NA, stage:III, dead, 614 days
3805.1
DO46333
58 years, female, NA, stage:III, dead, 359 days
3724.8
DO46586
55 years, female, NA, stage:III, dead, 1019 days
3247.4
DO46338
59 years, female, NA, stage:III, dead, 596 days
3144.4
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
3136.0
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
3031.7
DO46508
50 years, female, NA, stage:III, dead, 2101 days
2964.4
DO46463
49 years, female, NA, stage:III, dead, 2451 days
2742.5
DO46408
56 years, female, NA, stage:III, dead, 489 days
2699.5
DO46611
52 years, female, NA, stage:III, dead, 734 days
2693.0
DO46364
45 years, female, NA, stage:III, dead, 806 days
2683.9
DO46518
62 years, female, NA, stage:III, alive, 2960 days
2662.1
DO46597
60 years, female, NA, stage:III, dead, 393 days
2639.0
DO46561
52 years, female, NA, stage:III, dead, 195 days
2556.9
DO46366
65 years, female, NA, stage:III, dead, 2054 days
2501.5
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
2439.2
DO46453
66 years, female, NA, stage:III, dead, 3294 days
2431.5
DO46404
55 years, female, NA, stage:III, dead, 690 days
2374.6
DO46402
77 years, female, NA, stage:III, dead, 511 days
2360.0
DO46380
51 years, female, NA, stage:III, dead, 1423 days
2334.7
DO46326
51 years, female, NA, stage:III, dead, 701 days
2333.2
DO46325
54 years, female, NA, stage:III, dead, 477 days
2305.1
DO46591
58 years, female, NA, stage:III, dead, 195 days
2260.5
DO46551
58 years, female, NA, stage:III, dead, 1055 days
2254.5
DO46560
45 years, female, NA, stage:IV, dead, 286 days
2215.6
DO46352
60 years, female, NA, stage:III, dead, 677 days
2191.0
DO46533
46 years, female, NA, stage:III, alive, 3667 days
2184.3
DO46400
70 years, female, NA, stage:III, dead, 719 days
2183.4
DO46412
64 years, female, NA, stage:III, dead, 597 days
2073.0
DO46392
48 years, female, NA, stage:III, dead, 628 days
2072.4
DO46328
52 years, female, NA, stage:III, dead, 972 days
2031.2
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
1995.5
DO46386
49 years, female, NA, stage:III, dead, 1162 days
1923.8
DO46538
57 years, female, NA, stage:III, dead, 1527 days
1871.6
DO46448
45 years, female, NA, stage:III, dead, 654 days
1839.3
DO46378
59 years, female, NA, stage:III, alive, 843 days
1832.5
DO46334
77 years, female, NA, stage:III, dead, 496 days
1819.0
DO46566
78 years, female, NA, stage:III, dead, 673 days
1803.3
DO46606
73 years, female, NA, stage:III, alive, 804 days
1723.6
DO46388
74 years, female, NA, stage:III, dead, 413 days
1720.1
DO46443
59 years, female, NA, stage:III, dead, 2464 days
1703.5
DO46493
62 years, female, NA, stage:IV, alive, 839 days
1696.4
DO46342
67 years, female, NA, stage:III, dead, 1398 days
1671.5
DO46398
66 years, female, NA, stage:III, alive, 437 days
1622.1
DO46368
57 years, female, NA, stage:III, dead, 2879 days
1588.1
DO46588
74 years, female, NA, stage:III, dead, 438 days
1552.5
DO46330
60 years, female, NA, stage:III, dead, 684 days
1552.1
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
1510.4
DO46382
62 years, female, NA, stage:IV, dead, 311 days
1502.6
DO46344
46 years, female, NA, stage:III, dead, 642 days
1458.6
DO46546
73 years, female, NA, stage:III, dead, 1889 days
1408.3
DO46358
60 years, female, NA, stage:III, dead, 423 days
1400.6
DO46372
39 years, female, NA, stage:III, dead, 1326 days
1362.4
DO46376
58 years, female, NA, stage:III, dead, 1430 days
1361.2
DO46576
75 years, female, NA, stage:III, alive, 133 days
1323.2
DO46332
56 years, female, NA, stage:III, dead, 689 days
1295.1
DO46436
58 years, female, NA, stage:III, alive, 3193 days
1269.3
DO46350
66 years, female, NA, stage:III, dead, 886 days
1257.3
DO46602
74 years, female, NA, stage:III, dead, 205 days
1250.7
DO46346
54 years, female, NA, stage:III, dead, 1187 days
1239.5
DO46374
69 years, female, NA, stage:III, dead, 1409 days
1223.2
DO46340
62 years, female, NA, stage:III, dead, 616 days
1221.3
DO46362
61 years, female, NA, stage:III, dead, 1639 days
1221.1
DO46348
58 years, female, NA, stage:IV, dead, 287 days
1119.1
DO46354
73 years, female, NA, stage:III, dead, 843 days
1111.0
DO46396
64 years, female, NA, stage:III, dead, 583 days
1069.8
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
1053.3
DO46468
67 years, female, NA, stage:III, alive, 2776 days
990.0
DO46432
56 years, female, NA, stage:III, alive, 2218 days
959.3
DO46327
54 years, female, NA, stage:III, dead, 184 days
897.3
DO46571
61 years, female, NA, stage:III, dead, 243 days
881.5
DO46528
56 years, female, NA, stage:III, alive, 6139 days
855.6
DO46336
70 years, female, NA, stage:IV, dead, 664 days
790.8
DO46329
52 years, female, NA, stage:III, dead, 1699 days
703.8
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
1.2
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
1.2
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
1.0
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
1.0
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
1.0
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
0.9
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
0.9
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
0.9
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
0.9
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
0.9
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
0.9
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
0.8
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
0.8
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
0.7
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
0.7
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
0.7
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
0.7
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
0.7
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
0.7
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
0.7
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
0.7
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
0.7
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
0.7
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
0.7
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
0.7
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
0.7
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
0.7
1a10c200-3895-4648-b951-94f99f_D2
Tumor
0.7
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
0.7
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
0.6
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
0.6
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
0.6
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
0.6
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
0.6
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
0.6
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
0.6
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
0.6
15524912-685a-47ce-a824-567848_D2
Tumor
0.6
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
0.6
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
0.6
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
0.6
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
0.6
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
0.5
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
0.5
161317f3-1a39-438e-af45-cd2502_D2
Tumor
0.5
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
0.5
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
0.5
285fed94-1495-448e-879b-b55de9_D2
Tumor
0.5
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
0.5
e9d416e7-f661-400a-896e-388545_D2
Tumor
0.5
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
0.5
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
0.5
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
0.5
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
0.5
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
0.4
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
0.4
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
0.4
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
0.4
10c2d629-0287-4511-ac25-f29031_D2
Tumor
0.4
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
0.4
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
0.4
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
0.4
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
0.4
2f901c90-617e-46da-9fac-d68369_D2
Tumor
0.4
340a3769-3031-41ae-bb08-a2f696_D2
Normal
0.3
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
0.3
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
0.3
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
0.3
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
0.3
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
0.3
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
0.3
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
0.2
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
0.2
1772e913-f62e-446a-8cf3-720348_D2
Tumor
0.2
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
0.2
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
0.2
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
0.2
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
0.2
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
0.2
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
0.2
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
0.2
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
0.1
a3a26070-fb84-406a-8280-d555e6_D2
Normal
0.1
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
0.1
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
0.1
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
0.1
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
0.0
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
0.0
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
0.0
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
0.0
a65d8e76-640f-4341-a561-afbb57_D2
Normal
0.0
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
-0.1
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
-0.1
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
-0.1
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
-0.1
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
-0.1
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
-0.2
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
-0.2
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
-0.2
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
-0.2
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-0.2
1db5574d-aca7-403c-8100-6e705f_D2
Normal
-0.2
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-0.3
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
-0.3
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-0.3
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
-0.4
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
-0.7
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.
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
