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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.
RPS12 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
2450.7
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
7417.6
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
7002.0
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
6940.0
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
6903.3
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
6522.3
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
6359.8
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
6080.3
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
6046.5
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
5947.2
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
5878.8
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
5628.3
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
5552.6
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
5541.8
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
5524.8
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
5509.6
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
5480.5
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
5439.5
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
5359.2
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
5308.5
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
5213.8
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
5157.2
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
5126.0
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
5077.5
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
5004.1
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
4999.4
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
4966.9
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
4960.3
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
4779.2
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
4635.3
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
4598.3
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
4592.9
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
4493.6
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
4329.6
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
4326.7
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
4308.4
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
4291.6
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
4288.3
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
4232.8
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
4202.5
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
4171.5
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
4075.4
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
4056.7
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
4032.7
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
3913.3
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
3899.4
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
3885.5
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
3828.9
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
3826.9
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
3791.6
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
3771.8
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
3769.7
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
3749.1
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
3720.0
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
3692.8
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
3691.0
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
3673.0
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
3639.8
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
3638.4
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
3593.8
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
3572.0
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
3571.4
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
3554.8
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
3551.8
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
3529.5
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
3486.0
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
3421.2
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
3419.6
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
3416.5
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
3413.1
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
3410.1
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
3390.5
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
3366.6
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
3352.4
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
3324.7
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
3316.3
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
3218.4
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
3187.3
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
3157.1
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
3149.2
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
3122.9
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
3112.7
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
3095.1
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
3087.5
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
3083.2
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
3053.0
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
3048.9
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
3044.4
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
3035.7
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
2992.6
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
2974.7
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
2952.6
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
2931.4
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
2923.6
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
2908.1
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
2905.3
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
2897.7
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
2885.4
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
2876.3
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
2849.7
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
2824.6
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
2824.5
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
2791.6
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
2774.9
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
2752.9
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
2748.5
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
2736.7
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
2727.8
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
2714.3
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
2713.3
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
2708.3
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
2700.6
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
2698.7
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
2668.9
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
2653.1
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
2640.4
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
2637.5
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
2605.6
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
2585.6
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
2576.4
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
2575.8
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
2568.7
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
2567.8
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
2567.7
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
2566.2
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
2557.0
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
2552.5
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
2552.3
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
2549.6
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
2548.6
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
2546.7
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
2534.5
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
2530.9
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
2512.7
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
2509.3
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
2508.5
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
2490.2
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
2488.9
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
2484.4
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
2467.2
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
2461.3
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
2456.7
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
2448.3
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
2446.5
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
2445.4
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
2408.8
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
2392.8
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
2390.0
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
2383.9
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
2371.2
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
2365.8
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
2346.1
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
2342.2
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
2312.0
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
2282.5
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
2275.5
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
2273.6
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
2273.2
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
2264.5
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
2264.0
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
2238.2
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
2237.0
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
2228.3
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
2214.0
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
2213.4
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
2207.4
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
2194.3
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
2193.4
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
2189.6
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
2188.2
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
2178.7
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
2177.9
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
2177.2
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
2166.6
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
2155.8
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
2133.7
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
2129.9
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
2129.1
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
2117.0
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
2105.0
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
2100.9
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
2099.1
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
2098.0
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
2082.0
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
2078.5
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
2067.4
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
2043.1
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
2024.9
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
2019.9
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
2001.5
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
2000.5
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
2000.2
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
1999.0
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
1987.6
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
1986.3
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
1983.4
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
1971.3
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
1964.6
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
1964.0
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
1929.5
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
1922.5
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
1915.2
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
1903.2
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
1902.1
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
1896.7
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
1894.1
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
1889.3
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
1889.0
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
1887.7
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
1885.2
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
1884.0
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
1880.1
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
1877.6
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
1867.5
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
1862.6
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
1842.4
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
1839.7
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
1825.6
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
1793.7
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
1786.5
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
1773.2
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
1769.7
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
1765.3
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
1746.2
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
1743.0
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
1733.6
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
1730.2
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
1710.8
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
1704.3
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
1698.4
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
1689.6
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
1685.5
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
1679.9
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
1672.1
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
1664.7
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
1664.4
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
1662.6
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
1659.4
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
1653.7
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
1636.6
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
1631.9
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
1630.3
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
1627.2
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
1625.5
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
1616.4
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
1615.9
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
1613.3
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
1605.5
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
1599.7
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
1597.4
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
1590.0
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
1586.7
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
1584.9
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
1566.8
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
1556.6
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
1552.0
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
1544.5
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
1524.4
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
1522.5
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
1519.8
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
1517.3
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
1515.6
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
1511.6
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
1502.3
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
1498.4
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
1488.2
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
1477.9
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
1474.7
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
1471.2
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
1463.5
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
1462.9
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
1446.3
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
1444.5
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
1428.7
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
1426.9
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
1418.5
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
1417.7
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
1414.4
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
1404.9
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
1389.9
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
1384.8
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
1384.1
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
1372.9
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
1369.0
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
1363.1
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
1341.6
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
1335.3
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
1318.2
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
1307.1
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
1306.6
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
1299.1
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
1292.0
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
1283.9
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
1265.0
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
1253.7
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
1244.1
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
1237.3
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
1236.4
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
1235.3
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
1229.7
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
1223.0
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
1222.0
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
1218.4
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
1206.2
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
1197.7
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
1180.9
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
1179.9
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
1159.1
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
1131.9
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
1129.9
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
1115.6
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
1109.0
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
1103.6
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
1103.2
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
1102.2
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
1097.2
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
1096.7
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
1066.5
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
1064.1
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
1017.9
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
1011.8
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
1003.9
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
1003.2
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
985.6
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
982.7
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
971.3
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
961.6
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
954.5
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
954.1
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
930.0
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
927.0
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
900.2
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
893.0
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
887.1
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
886.3
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
883.2
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
874.1
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
862.3
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
854.8
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
843.5
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
843.5
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
843.3
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
835.4
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
830.0
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
819.5
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
783.3
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
756.4
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
684.3
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
610.0
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 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.
RPS12 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
2933.1
Number of samples
81
Samples
Sample
Description
pTPM
DO46402
77 years, female, NA, stage:III, dead, 511 days
8445.2
DO46330
60 years, female, NA, stage:III, dead, 684 days
7126.4
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
6980.3
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
6638.5
DO46356
68 years, female, NA, stage:III, dead, 911 days
6163.5
DO46591
58 years, female, NA, stage:III, dead, 195 days
5962.7
DO46390
65 years, female, NA, stage:III, dead, 374 days
5533.4
DO46342
67 years, female, NA, stage:III, dead, 1398 days
5477.1
DO46370
54 years, female, NA, stage:III, dead, 1727 days
5216.9
DO46328
52 years, female, NA, stage:III, dead, 972 days
5196.4
DO46326
51 years, female, NA, stage:III, dead, 701 days
5064.3
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
4954.7
DO46404
55 years, female, NA, stage:III, dead, 690 days
4841.0
DO46384
55 years, female, NA, stage:III, dead, 614 days
4727.8
DO46338
59 years, female, NA, stage:III, dead, 596 days
4510.2
DO46566
78 years, female, NA, stage:III, dead, 673 days
4470.4
DO46352
60 years, female, NA, stage:III, dead, 677 days
4346.7
DO46588
74 years, female, NA, stage:III, dead, 438 days
4281.7
DO46443
59 years, female, NA, stage:III, dead, 2464 days
4260.2
DO46333
58 years, female, NA, stage:III, dead, 359 days
4104.5
DO46581
66 years, female, NA, stage:III, dead, 408 days
3880.8
DO46388
74 years, female, NA, stage:III, dead, 413 days
3641.4
DO46597
60 years, female, NA, stage:III, dead, 393 days
3485.6
DO46518
62 years, female, NA, stage:III, alive, 2960 days
3466.2
DO46350
66 years, female, NA, stage:III, dead, 886 days
3351.6
DO46508
50 years, female, NA, stage:III, dead, 2101 days
3335.7
DO46362
61 years, female, NA, stage:III, dead, 1639 days
3325.8
DO46568
66 years, female, NA, stage:III, dead, 320 days
3180.3
DO46576
75 years, female, NA, stage:III, alive, 133 days
3132.4
DO46551
58 years, female, NA, stage:III, dead, 1055 days
3047.3
DO46398
66 years, female, NA, stage:III, alive, 437 days
2839.9
DO46334
77 years, female, NA, stage:III, dead, 496 days
2674.0
DO46611
52 years, female, NA, stage:III, dead, 734 days
2665.4
DO46368
57 years, female, NA, stage:III, dead, 2879 days
2654.7
DO46400
70 years, female, NA, stage:III, dead, 719 days
2653.9
DO46346
54 years, female, NA, stage:III, dead, 1187 days
2498.9
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
2447.0
DO46364
45 years, female, NA, stage:III, dead, 806 days
2441.3
DO46468
67 years, female, NA, stage:III, alive, 2776 days
2433.8
DO46336
70 years, female, NA, stage:IV, dead, 664 days
2331.9
DO46602
74 years, female, NA, stage:III, dead, 205 days
2321.2
DO46382
62 years, female, NA, stage:IV, dead, 311 days
2297.7
DO46408
56 years, female, NA, stage:III, dead, 489 days
2281.9
DO46396
64 years, female, NA, stage:III, dead, 583 days
2178.3
DO46606
73 years, female, NA, stage:III, alive, 804 days
2165.4
DO46331
72 years, female, NA, stage:III, dead, 612 days
2160.0
DO46366
65 years, female, NA, stage:III, dead, 2054 days
2118.2
DO46453
66 years, female, NA, stage:III, dead, 3294 days
2064.1
DO46325
54 years, female, NA, stage:III, dead, 477 days
2011.5
DO46376
58 years, female, NA, stage:III, dead, 1430 days
2009.7
DO46358
60 years, female, NA, stage:III, dead, 423 days
2001.6
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
1989.7
DO46561
52 years, female, NA, stage:III, dead, 195 days
1970.6
DO46463
49 years, female, NA, stage:III, dead, 2451 days
1941.5
DO46374
69 years, female, NA, stage:III, dead, 1409 days
1932.3
DO46348
58 years, female, NA, stage:IV, dead, 287 days
1916.1
DO46436
58 years, female, NA, stage:III, alive, 3193 days
1910.8
DO46392
48 years, female, NA, stage:III, dead, 628 days
1837.5
DO46327
54 years, female, NA, stage:III, dead, 184 days
1808.9
DO46386
49 years, female, NA, stage:III, dead, 1162 days
1759.7
DO46586
55 years, female, NA, stage:III, dead, 1019 days
1750.8
DO46493
62 years, female, NA, stage:IV, alive, 839 days
1676.7
DO46533
46 years, female, NA, stage:III, alive, 3667 days
1647.6
DO46432
56 years, female, NA, stage:III, alive, 2218 days
1618.0
DO46538
57 years, female, NA, stage:III, dead, 1527 days
1596.7
DO46412
64 years, female, NA, stage:III, dead, 597 days
1584.3
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
1575.1
DO46560
45 years, female, NA, stage:IV, dead, 286 days
1569.7
DO46448
45 years, female, NA, stage:III, dead, 654 days
1557.6
DO46354
73 years, female, NA, stage:III, dead, 843 days
1554.5
DO46528
56 years, female, NA, stage:III, alive, 6139 days
1453.0
DO46344
46 years, female, NA, stage:III, dead, 642 days
1428.2
DO46378
59 years, female, NA, stage:III, alive, 843 days
1353.8
DO46571
61 years, female, NA, stage:III, dead, 243 days
1352.5
DO46372
39 years, female, NA, stage:III, dead, 1326 days
1275.3
DO46380
51 years, female, NA, stage:III, dead, 1423 days
1250.8
DO46329
52 years, female, NA, stage:III, dead, 1699 days
1151.6
DO46340
62 years, female, NA, stage:III, dead, 616 days
1138.1
DO46546
73 years, female, NA, stage:III, dead, 1889 days
1106.1
DO46332
56 years, female, NA, stage:III, dead, 689 days
1026.7
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
451.8
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
0.3
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
0.2
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
0.2
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
0.2
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
0.1
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
0.1
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
0.1
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
0.1
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
0.0
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
0.0
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
0.0
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
0.0
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
0.0
1772e913-f62e-446a-8cf3-720348_D2
Tumor
0.0
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
-0.1
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
-0.1
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
-0.1
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
-0.1
e9d416e7-f661-400a-896e-388545_D2
Tumor
-0.1
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
-0.2
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
-0.2
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
-0.2
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
-0.2
15524912-685a-47ce-a824-567848_D2
Tumor
-0.2
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
-0.2
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
-0.2
161317f3-1a39-438e-af45-cd2502_D2
Tumor
-0.2
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
-0.2
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
-0.2
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
-0.2
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
-0.2
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
-0.2
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
-0.2
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
-0.2
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
-0.3
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
-0.3
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
-0.3
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
-0.3
2f901c90-617e-46da-9fac-d68369_D2
Tumor
-0.3
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
-0.3
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
-0.3
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
-0.3
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
-0.3
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
-0.3
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
-0.4
a3a26070-fb84-406a-8280-d555e6_D2
Normal
-0.4
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
-0.4
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
-0.4
1a10c200-3895-4648-b951-94f99f_D2
Tumor
-0.4
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
-0.4
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
-0.4
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
-0.4
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
-0.4
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
-0.4
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
-0.5
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
-0.5
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
-0.5
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
-0.5
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
-0.5
285fed94-1495-448e-879b-b55de9_D2
Tumor
-0.5
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
-0.5
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
-0.5
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
-0.5
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
-0.5
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
-0.5
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
-0.5
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
-0.5
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
-0.5
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
-0.5
340a3769-3031-41ae-bb08-a2f696_D2
Normal
-0.6
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
-0.6
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
-0.6
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
-0.6
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
-0.6
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
-0.6
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
-0.6
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
-0.6
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
-0.6
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
-0.6
10c2d629-0287-4511-ac25-f29031_D2
Tumor
-0.7
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
-0.7
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
-0.7
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
-0.7
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
-0.7
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
-0.7
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
-0.7
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
-0.7
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
-0.7
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
-0.7
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
-0.7
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
-0.8
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-0.8
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
-0.8
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
-0.8
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-0.8
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-0.8
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
-0.8
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
-0.9
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
-0.9
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
-0.9
1db5574d-aca7-403c-8100-6e705f_D2
Normal
-1.0
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
-1.0
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
-1.1
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
-1.1
a65d8e76-640f-4341-a561-afbb57_D2
Normal
-1.2
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
-1.2
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
-1.3
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
-1.3
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
