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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.
B2M 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
2567.6
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
10133.3
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
9091.3
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
8841.8
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
8685.5
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
8474.4
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
6989.9
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
6690.1
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
6664.9
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
6634.6
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
6537.1
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
6320.8
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
6285.0
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
6270.3
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
6064.7
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
5941.9
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
5896.3
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
5660.9
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
5542.6
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
5320.7
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
5312.4
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
5211.8
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
5200.7
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
5185.4
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
5126.9
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
5111.4
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
5054.5
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
4961.6
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
4776.4
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
4728.9
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
4725.7
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
4687.7
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
4678.2
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
4519.6
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
4511.6
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
4494.9
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
4492.4
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
4475.4
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
4419.5
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
4406.6
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
4362.7
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
4331.1
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
4323.8
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
4304.9
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
4286.4
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
4277.1
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
4204.7
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
4193.6
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
4190.4
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
4181.8
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
4175.0
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
4156.5
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
4126.4
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
4112.7
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
4071.5
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
3964.2
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
3947.2
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
3938.2
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
3897.2
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
3884.8
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
3832.4
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
3813.4
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
3790.9
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
3778.4
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
3777.0
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
3733.5
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
3711.1
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
3698.9
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
3696.8
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
3682.2
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
3681.0
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
3663.6
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
3637.1
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
3564.3
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
3557.9
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
3557.6
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
3557.5
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
3550.7
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
3547.7
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
3528.0
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
3496.4
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
3480.2
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
3479.1
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
3478.2
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
3457.2
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
3453.3
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
3439.5
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
3427.4
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
3413.4
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
3383.8
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
3370.0
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
3344.2
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
3337.6
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
3334.6
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
3329.7
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
3321.7
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
3261.5
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
3220.3
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
3205.6
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
3174.7
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
3152.8
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
3134.9
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
3117.6
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
3108.9
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
3099.8
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
3096.3
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
3092.4
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
3071.3
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
3053.3
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
3024.0
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
3018.8
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
3009.0
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
3006.2
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
2990.5
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
2986.4
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
2974.5
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
2974.5
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
2964.5
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
2940.2
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
2939.1
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
2930.1
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
2923.6
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
2886.7
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
2885.4
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
2870.2
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
2867.7
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
2866.9
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
2837.0
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
2829.6
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
2783.6
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
2768.9
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
2766.2
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
2757.1
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
2746.8
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
2743.4
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
2739.7
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
2706.4
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
2701.2
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
2666.2
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
2659.7
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
2657.7
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
2657.1
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
2650.3
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
2649.2
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
2645.8
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
2639.6
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
2639.5
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
2635.8
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
2626.9
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
2600.6
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
2599.1
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
2551.6
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
2548.4
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
2518.3
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
2506.6
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
2505.8
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
2499.0
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
2452.7
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
2440.6
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
2427.3
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
2422.6
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
2400.1
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
2397.4
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
2388.8
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
2386.4
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
2358.3
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
2323.6
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
2318.9
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
2317.4
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
2313.4
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
2313.3
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
2313.3
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
2310.4
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
2288.7
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
2257.8
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
2242.7
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
2240.3
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
2235.1
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
2233.8
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
2225.7
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
2220.4
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
2213.8
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
2213.6
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
2202.7
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
2200.8
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
2196.3
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
2179.9
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
2177.8
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
2168.9
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
2160.5
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
2147.6
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
2129.9
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
2123.6
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
2123.4
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
2099.9
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
2082.4
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
2080.5
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
2078.9
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
2066.8
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
2058.4
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
2046.9
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
2036.3
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
2033.0
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
2020.5
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
2013.1
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
2006.2
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
1978.6
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
1977.1
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
1971.2
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
1970.9
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
1965.0
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
1963.2
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
1959.0
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
1958.3
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
1953.8
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
1953.7
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
1952.4
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
1919.1
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
1911.2
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
1892.5
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
1889.0
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
1876.5
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
1858.2
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
1851.6
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
1846.8
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
1835.9
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
1833.8
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
1828.4
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
1820.3
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
1804.3
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
1774.5
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
1770.6
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
1766.2
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
1746.9
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
1743.3
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
1721.3
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
1720.1
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
1713.2
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
1689.8
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
1675.4
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
1656.8
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
1655.7
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
1648.1
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
1642.7
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
1627.1
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
1608.1
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
1579.6
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
1576.4
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
1557.1
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
1538.5
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
1527.9
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
1512.1
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
1512.1
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
1508.9
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
1496.3
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
1473.1
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
1459.5
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
1456.2
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
1448.3
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
1441.5
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
1436.4
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
1403.4
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
1394.6
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
1390.0
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
1383.9
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
1377.7
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
1368.3
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
1357.4
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
1355.5
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
1337.3
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
1332.9
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
1327.5
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
1272.2
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
1270.3
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
1269.0
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
1258.3
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
1233.8
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
1230.9
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
1227.9
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
1225.2
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
1218.0
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
1208.0
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
1203.1
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
1197.3
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
1188.1
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
1173.7
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
1168.0
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
1149.5
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
1124.1
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
1118.8
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
1107.2
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
1081.6
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
1080.2
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
1078.6
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
1076.1
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
1059.0
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
1032.6
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
996.8
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
993.8
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
989.8
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
986.3
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
967.8
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
952.4
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
935.4
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
926.0
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
924.2
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
906.3
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
897.0
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
889.3
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
888.4
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
888.2
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
884.3
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
875.1
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
869.4
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
865.2
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
846.8
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
822.1
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
820.9
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
781.7
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
777.0
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
746.1
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
725.6
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
709.4
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
681.1
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
656.1
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
643.8
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
609.1
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
607.9
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
591.5
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
590.3
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
573.6
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
557.8
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
520.4
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
518.9
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
498.0
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
472.0
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
437.8
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
404.7
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
401.9
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
373.7
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
361.7
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
361.4
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
360.8
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
350.8
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
340.8
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
301.9
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
282.6
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
239.0
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
232.1
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 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.
B2M 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
5320.7
Number of samples
81
Samples
Sample
Description
pTPM
DO46354
73 years, female, NA, stage:III, dead, 843 days
19023.0
DO46586
55 years, female, NA, stage:III, dead, 1019 days
14065.4
DO46606
73 years, female, NA, stage:III, alive, 804 days
13844.2
DO46388
74 years, female, NA, stage:III, dead, 413 days
11720.0
DO46432
56 years, female, NA, stage:III, alive, 2218 days
11690.4
DO46568
66 years, female, NA, stage:III, dead, 320 days
10426.7
DO46340
62 years, female, NA, stage:III, dead, 616 days
10309.3
DO46386
49 years, female, NA, stage:III, dead, 1162 days
9996.2
DO46364
45 years, female, NA, stage:III, dead, 806 days
9591.2
DO46327
54 years, female, NA, stage:III, dead, 184 days
9064.7
DO46404
55 years, female, NA, stage:III, dead, 690 days
8798.1
DO46348
58 years, female, NA, stage:IV, dead, 287 days
8777.3
DO46493
62 years, female, NA, stage:IV, alive, 839 days
8475.9
DO46326
51 years, female, NA, stage:III, dead, 701 days
8191.2
DO46602
74 years, female, NA, stage:III, dead, 205 days
8080.2
DO46528
56 years, female, NA, stage:III, alive, 6139 days
8068.9
DO46332
56 years, female, NA, stage:III, dead, 689 days
7855.8
DO46518
62 years, female, NA, stage:III, alive, 2960 days
7479.8
DO46443
59 years, female, NA, stage:III, dead, 2464 days
7027.7
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
6972.7
DO46508
50 years, female, NA, stage:III, dead, 2101 days
6895.5
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
6816.4
DO46346
54 years, female, NA, stage:III, dead, 1187 days
6795.8
DO46468
67 years, female, NA, stage:III, alive, 2776 days
6665.3
DO46566
78 years, female, NA, stage:III, dead, 673 days
6662.5
DO46448
45 years, female, NA, stage:III, dead, 654 days
6604.7
DO46362
61 years, female, NA, stage:III, dead, 1639 days
6402.4
DO46378
59 years, female, NA, stage:III, alive, 843 days
6260.1
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
6146.9
DO46352
60 years, female, NA, stage:III, dead, 677 days
6016.1
DO46350
66 years, female, NA, stage:III, dead, 886 days
5779.3
DO46344
46 years, female, NA, stage:III, dead, 642 days
5720.7
DO46571
61 years, female, NA, stage:III, dead, 243 days
5705.6
DO46436
58 years, female, NA, stage:III, alive, 3193 days
5565.6
DO46325
54 years, female, NA, stage:III, dead, 477 days
5525.1
DO46328
52 years, female, NA, stage:III, dead, 972 days
5419.8
DO46334
77 years, female, NA, stage:III, dead, 496 days
5182.0
DO46372
39 years, female, NA, stage:III, dead, 1326 days
5066.9
DO46368
57 years, female, NA, stage:III, dead, 2879 days
5013.0
DO46380
51 years, female, NA, stage:III, dead, 1423 days
4959.7
DO46581
66 years, female, NA, stage:III, dead, 408 days
4894.2
DO46396
64 years, female, NA, stage:III, dead, 583 days
4835.3
DO46329
52 years, female, NA, stage:III, dead, 1699 days
4771.8
DO46533
46 years, female, NA, stage:III, alive, 3667 days
4575.2
DO46591
58 years, female, NA, stage:III, dead, 195 days
4285.1
DO46376
58 years, female, NA, stage:III, dead, 1430 days
4168.3
DO46358
60 years, female, NA, stage:III, dead, 423 days
4089.3
DO46382
62 years, female, NA, stage:IV, dead, 311 days
4087.7
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
3902.5
DO46336
70 years, female, NA, stage:IV, dead, 664 days
3864.8
DO46560
45 years, female, NA, stage:IV, dead, 286 days
3860.4
DO46398
66 years, female, NA, stage:III, alive, 437 days
3790.2
DO46333
58 years, female, NA, stage:III, dead, 359 days
3719.1
DO46374
69 years, female, NA, stage:III, dead, 1409 days
3548.0
DO46408
56 years, female, NA, stage:III, dead, 489 days
3483.6
DO46538
57 years, female, NA, stage:III, dead, 1527 days
3405.2
DO46330
60 years, female, NA, stage:III, dead, 684 days
3382.2
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
3355.7
DO46412
64 years, female, NA, stage:III, dead, 597 days
3185.8
DO46453
66 years, female, NA, stage:III, dead, 3294 days
2989.5
DO46392
48 years, female, NA, stage:III, dead, 628 days
2634.9
DO46400
70 years, female, NA, stage:III, dead, 719 days
2609.0
DO46597
60 years, female, NA, stage:III, dead, 393 days
2579.4
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
2570.4
DO46551
58 years, female, NA, stage:III, dead, 1055 days
2121.9
DO46546
73 years, female, NA, stage:III, dead, 1889 days
1946.9
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
1936.7
DO46366
65 years, female, NA, stage:III, dead, 2054 days
1918.4
DO46384
55 years, female, NA, stage:III, dead, 614 days
1791.7
DO46342
67 years, female, NA, stage:III, dead, 1398 days
1716.6
DO46338
59 years, female, NA, stage:III, dead, 596 days
1683.6
DO46402
77 years, female, NA, stage:III, dead, 511 days
1661.2
DO46576
75 years, female, NA, stage:III, alive, 133 days
1431.1
DO46463
49 years, female, NA, stage:III, dead, 2451 days
1386.8
DO46390
65 years, female, NA, stage:III, dead, 374 days
1355.5
DO46370
54 years, female, NA, stage:III, dead, 1727 days
1301.5
DO46588
74 years, female, NA, stage:III, dead, 438 days
1068.3
DO46561
52 years, female, NA, stage:III, dead, 195 days
901.4
DO46356
68 years, female, NA, stage:III, dead, 911 days
609.4
DO46331
72 years, female, NA, stage:III, dead, 612 days
485.1
DO46611
52 years, female, NA, stage:III, dead, 734 days
417.7
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
1.4
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
1.2
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
1.0
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
1.0
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
0.9
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
0.7
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
0.5
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
0.5
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
0.5
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
0.5
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
0.5
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
0.5
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
0.4
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
0.4
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
0.4
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
0.4
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
0.3
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
0.3
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
0.3
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
0.2
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
0.2
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
0.2
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
0.2
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
0.1
1772e913-f62e-446a-8cf3-720348_D2
Tumor
0.1
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
0.1
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
0.1
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
0.1
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
0.1
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
0.1
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
0.0
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
0.0
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
0.0
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
0.0
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
0.0
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
0.0
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
0.0
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
0.0
e9d416e7-f661-400a-896e-388545_D2
Tumor
-0.1
1a10c200-3895-4648-b951-94f99f_D2
Tumor
-0.1
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
-0.1
161317f3-1a39-438e-af45-cd2502_D2
Tumor
-0.1
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
-0.1
10c2d629-0287-4511-ac25-f29031_D2
Tumor
-0.2
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
-0.2
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
-0.2
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
-0.2
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
-0.2
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
-0.2
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
-0.2
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
-0.2
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
-0.2
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
-0.3
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
-0.3
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
-0.3
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
-0.3
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
-0.3
a3a26070-fb84-406a-8280-d555e6_D2
Normal
-0.3
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
-0.3
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
-0.3
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
-0.4
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
-0.4
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-0.4
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
-0.4
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-0.4
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
-0.4
15524912-685a-47ce-a824-567848_D2
Tumor
-0.4
285fed94-1495-448e-879b-b55de9_D2
Tumor
-0.4
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
-0.4
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
-0.4
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-0.5
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
-0.5
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
-0.5
a65d8e76-640f-4341-a561-afbb57_D2
Normal
-0.5
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
-0.5
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
-0.5
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
-0.5
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
-0.5
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
-0.5
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
-0.5
1db5574d-aca7-403c-8100-6e705f_D2
Normal
-0.6
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
-0.6
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
-0.6
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
-0.6
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
-0.6
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
-0.6
340a3769-3031-41ae-bb08-a2f696_D2
Normal
-0.7
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
-0.7
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
-0.7
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
-0.7
2f901c90-617e-46da-9fac-d68369_D2
Tumor
-0.8
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
-0.8
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
-0.8
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
-0.8
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
-0.9
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
-0.9
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
-1.1
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
-1.1
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
-1.1
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
-1.1
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
-1.1
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
-1.1
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
-1.2
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
-1.2
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
-1.2
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
-1.4
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
-1.5
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
-1.7
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
