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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.
MYL6 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
2320.0
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
6144.5
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
6125.3
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
6068.6
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
5631.3
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
5419.0
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
5070.8
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
5056.1
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
4886.7
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
4850.4
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
4847.9
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
4624.6
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
4572.9
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
4507.4
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
4462.8
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
4375.1
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
4331.5
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
4215.6
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
4205.7
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
4166.2
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
4156.5
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
4085.1
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
4048.2
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
4038.5
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
4029.6
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
3970.7
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
3939.7
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
3924.6
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
3917.0
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
3908.0
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
3907.7
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
3895.7
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
3884.1
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
3784.7
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
3777.1
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
3748.8
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
3740.6
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
3633.7
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
3622.9
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
3608.7
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
3604.4
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
3553.7
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
3546.3
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
3544.3
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
3518.4
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
3517.2
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
3507.9
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
3490.3
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
3483.4
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
3463.2
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
3462.3
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
3457.5
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
3434.4
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
3425.8
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
3419.6
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
3286.8
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
3283.9
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
3270.2
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
3249.8
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
3234.4
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
3218.3
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
3189.7
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
3154.2
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
3147.9
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
3143.9
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
3137.0
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
3117.2
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
3112.6
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
3107.8
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
3075.2
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
3058.6
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
3054.2
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
2990.3
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
2983.8
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
2977.1
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
2945.2
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
2938.3
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
2933.3
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
2918.8
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
2918.3
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
2888.3
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
2879.4
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
2870.4
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
2869.1
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
2863.9
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
2859.7
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
2859.6
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
2823.6
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
2819.8
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
2819.0
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
2818.1
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
2814.1
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
2785.1
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
2780.8
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
2734.7
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
2725.3
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
2723.4
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
2718.2
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
2674.5
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
2670.3
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
2662.0
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
2642.4
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
2620.9
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
2618.2
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
2613.7
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
2608.6
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
2592.9
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
2551.5
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
2547.6
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
2543.6
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
2542.9
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
2514.1
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
2510.0
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
2496.1
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
2474.3
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
2462.0
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
2458.3
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
2454.9
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
2453.3
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
2445.1
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
2437.4
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
2437.2
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
2425.8
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
2410.1
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
2406.6
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
2404.6
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
2398.6
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
2393.8
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
2387.7
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
2387.4
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
2369.7
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
2369.1
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
2363.0
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
2340.4
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
2340.0
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
2337.2
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
2334.4
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
2331.0
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
2326.1
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
2324.7
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
2320.7
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
2316.7
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
2314.9
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
2304.0
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
2303.4
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
2303.2
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
2302.2
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
2302.1
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
2301.7
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
2300.9
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
2281.8
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
2281.7
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
2277.5
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
2259.9
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
2243.1
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
2226.4
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
2223.9
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
2220.5
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
2217.1
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
2214.5
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
2213.7
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
2211.3
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
2196.8
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
2194.7
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
2188.1
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
2187.1
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
2183.8
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
2179.4
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
2172.5
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
2143.9
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
2143.5
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
2135.4
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
2120.1
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
2101.0
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
2099.5
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
2097.9
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
2089.0
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
2086.8
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
2073.1
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
2070.1
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
2070.1
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
2068.3
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
2067.9
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
2067.6
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
2063.6
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
2062.9
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
2060.8
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
2060.0
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
2057.8
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
2056.1
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
2056.0
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
2053.9
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
2049.6
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
2048.4
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
2040.7
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
2040.2
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
2035.7
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
2020.8
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
2019.5
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
2011.8
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
2006.0
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
1995.0
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
1991.1
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
1962.0
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
1959.8
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
1953.2
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
1945.9
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
1943.0
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
1938.2
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
1935.7
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
1930.1
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
1927.8
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
1915.1
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
1893.7
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
1893.2
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
1888.9
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
1886.3
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
1883.1
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
1853.8
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
1842.8
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
1840.2
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
1837.4
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
1822.2
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
1820.1
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
1818.9
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
1811.9
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
1806.3
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
1803.4
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
1800.1
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
1787.5
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
1781.8
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
1765.7
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
1762.1
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
1757.8
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
1752.2
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
1750.9
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
1750.8
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
1746.0
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
1744.3
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
1741.3
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
1732.9
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
1726.6
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
1715.4
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
1708.9
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
1703.8
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
1684.6
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
1684.3
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
1680.5
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
1678.6
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
1656.8
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
1654.7
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
1650.9
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
1634.9
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
1631.8
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
1626.8
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
1617.4
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
1613.1
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
1611.8
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
1597.7
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
1582.2
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
1582.1
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
1581.4
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
1578.6
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
1577.2
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
1576.0
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
1572.2
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
1570.5
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
1555.8
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
1548.3
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
1548.0
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
1543.7
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
1533.0
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
1527.1
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
1515.8
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
1512.7
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
1512.1
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
1510.4
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
1510.3
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
1501.3
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
1497.8
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
1496.0
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
1487.7
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
1478.9
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
1472.3
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
1470.6
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
1468.9
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
1464.8
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
1451.3
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
1450.1
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
1442.2
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
1440.6
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
1429.7
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
1421.7
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
1418.2
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
1416.1
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
1413.9
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
1409.4
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
1401.8
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
1400.0
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
1397.6
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
1392.7
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
1386.0
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
1385.5
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
1384.5
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
1383.0
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
1374.7
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
1374.7
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
1374.1
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
1371.8
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
1368.6
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
1349.4
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
1347.8
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
1301.7
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
1295.9
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
1281.1
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
1279.0
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
1274.4
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
1261.6
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
1259.9
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
1258.7
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
1251.8
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
1217.7
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
1186.1
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
1176.1
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
1173.5
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
1163.2
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
1158.6
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
1140.0
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
1140.0
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
1130.0
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
1121.4
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
1115.3
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
1098.0
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
1076.9
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
1070.7
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
1035.8
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
1024.3
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
1013.8
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
1011.2
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
990.8
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
977.8
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
963.0
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
953.8
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
948.0
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
924.0
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
854.9
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
853.3
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
790.0
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
786.7
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 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.
MYL6 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
2164.8
Number of samples
81
Samples
Sample
Description
pTPM
DO46346
54 years, female, NA, stage:III, dead, 1187 days
4542.5
DO46333
58 years, female, NA, stage:III, dead, 359 days
4357.8
DO46453
66 years, female, NA, stage:III, dead, 3294 days
3964.5
DO46370
54 years, female, NA, stage:III, dead, 1727 days
3872.7
DO46581
66 years, female, NA, stage:III, dead, 408 days
3583.4
DO46560
45 years, female, NA, stage:IV, dead, 286 days
3436.5
DO46576
75 years, female, NA, stage:III, alive, 133 days
3399.0
DO46448
45 years, female, NA, stage:III, dead, 654 days
3388.0
DO46390
65 years, female, NA, stage:III, dead, 374 days
3386.9
DO46508
50 years, female, NA, stage:III, dead, 2101 days
3380.5
DO46392
48 years, female, NA, stage:III, dead, 628 days
3356.9
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
3298.2
DO46566
78 years, female, NA, stage:III, dead, 673 days
3266.0
DO46586
55 years, female, NA, stage:III, dead, 1019 days
3127.2
DO46463
49 years, female, NA, stage:III, dead, 2451 days
3047.2
DO46468
67 years, female, NA, stage:III, alive, 2776 days
2977.5
DO46382
62 years, female, NA, stage:IV, dead, 311 days
2970.1
DO46348
58 years, female, NA, stage:IV, dead, 287 days
2866.4
DO46364
45 years, female, NA, stage:III, dead, 806 days
2689.6
DO46611
52 years, female, NA, stage:III, dead, 734 days
2667.3
DO46533
46 years, female, NA, stage:III, alive, 3667 days
2575.1
DO46368
57 years, female, NA, stage:III, dead, 2879 days
2539.5
DO46551
58 years, female, NA, stage:III, dead, 1055 days
2511.3
DO46330
60 years, female, NA, stage:III, dead, 684 days
2463.4
DO46329
52 years, female, NA, stage:III, dead, 1699 days
2414.8
DO46366
65 years, female, NA, stage:III, dead, 2054 days
2369.4
DO46344
46 years, female, NA, stage:III, dead, 642 days
2330.1
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
2292.9
DO46356
68 years, female, NA, stage:III, dead, 911 days
2271.6
DO46340
62 years, female, NA, stage:III, dead, 616 days
2268.4
DO46606
73 years, female, NA, stage:III, alive, 804 days
2196.1
DO46376
58 years, female, NA, stage:III, dead, 1430 days
2190.2
DO46443
59 years, female, NA, stage:III, dead, 2464 days
2164.9
DO46568
66 years, female, NA, stage:III, dead, 320 days
2122.7
DO46538
57 years, female, NA, stage:III, dead, 1527 days
2113.9
DO46597
60 years, female, NA, stage:III, dead, 393 days
2103.8
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
2103.7
DO46386
49 years, female, NA, stage:III, dead, 1162 days
2078.8
DO46328
52 years, female, NA, stage:III, dead, 972 days
2063.0
DO46338
59 years, female, NA, stage:III, dead, 596 days
2014.3
DO46332
56 years, female, NA, stage:III, dead, 689 days
1984.4
DO46372
39 years, female, NA, stage:III, dead, 1326 days
1979.5
DO46378
59 years, female, NA, stage:III, alive, 843 days
1969.7
DO46374
69 years, female, NA, stage:III, dead, 1409 days
1966.1
DO46380
51 years, female, NA, stage:III, dead, 1423 days
1938.7
DO46588
74 years, female, NA, stage:III, dead, 438 days
1931.0
DO46350
66 years, female, NA, stage:III, dead, 886 days
1929.0
DO46358
60 years, female, NA, stage:III, dead, 423 days
1920.9
DO46528
56 years, female, NA, stage:III, alive, 6139 days
1907.5
DO46352
60 years, female, NA, stage:III, dead, 677 days
1873.1
DO46412
64 years, female, NA, stage:III, dead, 597 days
1854.0
DO46342
67 years, female, NA, stage:III, dead, 1398 days
1800.0
DO46325
54 years, female, NA, stage:III, dead, 477 days
1775.6
DO46591
58 years, female, NA, stage:III, dead, 195 days
1770.7
DO46354
73 years, female, NA, stage:III, dead, 843 days
1763.7
DO46334
77 years, female, NA, stage:III, dead, 496 days
1752.0
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
1737.0
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
1735.6
DO46561
52 years, female, NA, stage:III, dead, 195 days
1689.6
DO46327
54 years, female, NA, stage:III, dead, 184 days
1671.6
DO46571
61 years, female, NA, stage:III, dead, 243 days
1654.6
DO46432
56 years, female, NA, stage:III, alive, 2218 days
1621.5
DO46404
55 years, female, NA, stage:III, dead, 690 days
1534.1
DO46362
61 years, female, NA, stage:III, dead, 1639 days
1530.6
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
1505.3
DO46402
77 years, female, NA, stage:III, dead, 511 days
1435.6
DO46398
66 years, female, NA, stage:III, alive, 437 days
1433.0
DO46396
64 years, female, NA, stage:III, dead, 583 days
1378.7
DO46336
70 years, female, NA, stage:IV, dead, 664 days
1372.3
DO46384
55 years, female, NA, stage:III, dead, 614 days
1371.0
DO46326
51 years, female, NA, stage:III, dead, 701 days
1368.5
DO46400
70 years, female, NA, stage:III, dead, 719 days
1357.6
DO46388
74 years, female, NA, stage:III, dead, 413 days
1319.0
DO46408
56 years, female, NA, stage:III, dead, 489 days
1306.8
DO46493
62 years, female, NA, stage:IV, alive, 839 days
1032.4
DO46331
72 years, female, NA, stage:III, dead, 612 days
1013.2
DO46518
62 years, female, NA, stage:III, alive, 2960 days
838.6
DO46602
74 years, female, NA, stage:III, dead, 205 days
774.6
DO46436
58 years, female, NA, stage:III, alive, 3193 days
708.5
DO46546
73 years, female, NA, stage:III, dead, 1889 days
614.3
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
466.2
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
1.6
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
1.3
340a3769-3031-41ae-bb08-a2f696_D2
Normal
1.1
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
1.0
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
0.9
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
0.8
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
0.8
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
0.8
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
0.8
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
0.8
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
0.8
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
0.7
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
0.7
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
0.7
1772e913-f62e-446a-8cf3-720348_D2
Tumor
0.7
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
0.7
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
0.6
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
0.6
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
0.6
285fed94-1495-448e-879b-b55de9_D2
Tumor
0.6
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
0.6
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
0.5
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
0.5
a65d8e76-640f-4341-a561-afbb57_D2
Normal
0.5
15524912-685a-47ce-a824-567848_D2
Tumor
0.5
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
0.4
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
0.4
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
0.4
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
0.4
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
0.4
a3a26070-fb84-406a-8280-d555e6_D2
Normal
0.4
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
0.4
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
0.3
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
0.3
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
0.3
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
0.3
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
0.3
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
0.3
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
0.3
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
0.3
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
0.2
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
0.2
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
0.2
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
0.2
1a10c200-3895-4648-b951-94f99f_D2
Tumor
0.1
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
0.1
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
0.1
e9d416e7-f661-400a-896e-388545_D2
Tumor
0.1
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
0.1
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
0.1
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
0.1
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
0.1
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
0.0
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
0.0
2f901c90-617e-46da-9fac-d68369_D2
Tumor
0.0
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
0.0
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
0.0
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
0.0
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
0.0
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
0.0
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
0.0
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
0.0
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
0.0
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
0.0
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
0.0
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
0.0
161317f3-1a39-438e-af45-cd2502_D2
Tumor
0.0
10c2d629-0287-4511-ac25-f29031_D2
Tumor
-0.1
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
-0.1
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
-0.1
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
-0.1
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
-0.1
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
-0.1
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
-0.2
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
-0.2
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
-0.2
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
-0.2
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
-0.2
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
-0.2
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
-0.2
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
-0.2
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-0.3
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
-0.3
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
-0.3
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
-0.3
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
-0.4
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
-0.4
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
-0.4
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
-0.4
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
-0.4
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
-0.4
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
-0.4
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
-0.4
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
-0.4
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
-0.5
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
-0.5
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
-0.5
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-0.5
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
-0.5
1db5574d-aca7-403c-8100-6e705f_D2
Normal
-0.5
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-0.6
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
-0.6
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
-0.6
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
-0.6
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
-0.6
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
-0.8
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
-0.8
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
-1.0
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
