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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.
RPL8 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
2824.7
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
13120.2
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
8975.8
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
8710.9
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
8414.9
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
8339.7
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
7801.9
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
7109.3
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
6765.0
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
6322.9
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
6047.4
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
5979.4
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
5964.6
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
5918.5
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
5873.7
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
5785.4
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
5729.1
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
5710.1
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
5692.1
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
5676.1
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
5602.7
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
5550.7
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
5540.5
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
5471.8
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
5470.0
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
5394.0
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
5363.4
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
5277.6
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
5083.0
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
5074.8
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
5033.1
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
5031.1
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
4953.1
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
4914.2
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
4754.5
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
4682.4
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
4637.4
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
4620.1
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
4597.6
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
4579.5
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
4542.0
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
4507.1
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
4490.4
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
4420.2
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
4392.9
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
4392.7
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
4364.3
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
4336.5
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
4285.9
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
4258.4
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
4221.1
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
4219.1
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
4207.3
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
4147.6
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
4118.5
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
4115.4
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
4099.0
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
4090.8
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
4072.4
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
4053.3
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
4044.3
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
4042.5
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
3984.4
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
3981.2
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
3969.9
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
3965.4
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
3938.0
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
3929.6
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
3896.9
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
3894.0
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
3866.9
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
3818.7
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
3797.4
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
3757.4
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
3749.3
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
3737.5
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
3723.6
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
3711.8
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
3653.8
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
3649.0
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
3628.6
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
3600.0
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
3599.5
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
3579.6
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
3558.5
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
3541.1
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
3532.2
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
3518.5
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
3517.2
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
3510.7
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
3495.8
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
3478.6
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
3425.9
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
3400.3
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
3384.8
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
3370.8
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
3345.4
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
3340.7
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
3334.1
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
3292.3
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
3283.5
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
3265.7
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
3265.2
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
3262.8
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
3241.0
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
3240.3
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
3233.3
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
3227.3
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
3223.5
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
3222.9
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
3217.8
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
3215.5
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
3205.8
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
3170.9
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
3163.0
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
3153.9
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
3137.3
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
3125.2
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
3081.2
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
3078.7
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
3077.9
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
3075.5
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
3060.2
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
3059.4
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
3059.0
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
3032.7
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
3028.4
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
3012.6
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
3009.6
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
3005.6
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
3002.5
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
2999.9
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
2992.8
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
2985.4
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
2960.1
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
2951.5
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
2938.4
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
2912.8
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
2900.6
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
2875.0
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
2872.0
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
2870.2
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
2855.4
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
2843.8
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
2843.1
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
2838.9
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
2832.3
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
2829.6
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
2821.5
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
2796.9
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
2793.5
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
2784.9
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
2782.4
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
2766.6
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
2760.3
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
2738.0
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
2734.6
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
2722.6
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
2709.3
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
2702.3
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
2697.2
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
2676.2
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
2657.0
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
2656.3
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
2629.5
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
2612.4
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
2534.5
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
2524.6
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
2522.6
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
2520.2
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
2497.0
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
2496.9
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
2489.4
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
2483.2
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
2478.9
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
2477.9
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
2469.1
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
2458.3
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
2455.9
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
2448.7
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
2428.4
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
2412.1
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
2386.1
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
2380.7
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
2378.5
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
2355.1
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
2353.4
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
2348.1
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
2343.8
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
2342.3
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
2316.7
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
2315.3
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
2309.8
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
2305.7
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
2301.0
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
2285.2
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
2282.5
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
2272.4
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
2266.6
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
2264.7
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
2256.7
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
2253.0
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
2248.8
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
2230.3
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
2217.3
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
2208.7
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
2206.9
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
2200.4
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
2185.2
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
2175.0
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
2165.8
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
2154.1
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
2149.1
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
2123.1
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
2113.2
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
2109.0
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
2103.8
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
2098.5
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
2095.9
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
2086.7
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
2084.4
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
2064.5
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
2062.3
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
2061.5
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
2058.8
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
2057.2
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
2054.9
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
2039.3
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
2032.4
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
2021.0
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
2002.3
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
1993.8
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
1991.5
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
1991.0
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
1985.3
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
1962.6
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
1959.7
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
1951.9
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
1950.0
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
1942.1
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
1934.3
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
1929.0
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
1912.1
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
1909.8
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
1903.2
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
1899.7
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
1896.5
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
1896.0
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
1874.0
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
1867.0
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
1852.7
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
1846.2
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
1844.8
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
1839.8
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
1824.4
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
1822.8
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
1817.4
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
1808.7
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
1801.2
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
1791.5
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
1780.8
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
1773.5
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
1771.1
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
1744.9
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
1739.1
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
1731.1
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
1722.6
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
1721.3
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
1709.0
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
1700.2
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
1692.6
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
1670.8
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
1663.6
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
1650.0
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
1616.5
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
1608.0
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
1606.8
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
1595.2
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
1592.6
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
1587.1
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
1586.0
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
1581.7
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
1581.0
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
1579.1
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
1555.3
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
1547.7
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
1541.9
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
1541.3
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
1538.0
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
1533.9
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
1531.9
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
1522.0
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
1513.7
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
1508.2
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
1497.2
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
1473.9
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
1449.8
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
1437.4
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
1435.4
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
1386.9
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
1381.9
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
1381.4
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
1364.5
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
1342.1
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
1340.3
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
1301.4
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
1301.0
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
1300.5
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
1299.2
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
1283.2
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
1260.0
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
1259.0
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
1250.9
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
1246.9
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
1229.7
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
1229.1
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
1229.0
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
1225.1
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
1221.8
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
1218.4
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
1212.5
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
1192.3
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
1187.1
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
1173.9
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
1171.1
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
1146.3
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
1142.4
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
1138.6
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
1138.4
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
1137.9
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
1127.9
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
1124.2
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
1113.2
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
1102.1
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
1101.0
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
1069.3
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
1052.3
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
1001.5
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
994.1
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
983.2
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
926.8
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
884.6
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
869.6
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
864.8
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
850.3
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
838.6
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
831.7
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
823.4
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
650.1
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 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.
RPL8 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
5190.8
Number of samples
81
Samples
Sample
Description
pTPM
DO46518
62 years, female, NA, stage:III, alive, 2960 days
22203.0
DO46611
52 years, female, NA, stage:III, dead, 734 days
18159.3
DO46366
65 years, female, NA, stage:III, dead, 2054 days
14230.8
DO46356
68 years, female, NA, stage:III, dead, 911 days
12192.9
DO46390
65 years, female, NA, stage:III, dead, 374 days
10824.1
DO46538
57 years, female, NA, stage:III, dead, 1527 days
9998.4
DO46546
73 years, female, NA, stage:III, dead, 1889 days
9755.0
DO46551
58 years, female, NA, stage:III, dead, 1055 days
9731.3
DO46586
55 years, female, NA, stage:III, dead, 1019 days
8904.1
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
8574.0
DO46453
66 years, female, NA, stage:III, dead, 3294 days
8392.6
DO46493
62 years, female, NA, stage:IV, alive, 839 days
8329.3
DO46576
75 years, female, NA, stage:III, alive, 133 days
7780.8
DO46333
58 years, female, NA, stage:III, dead, 359 days
7624.5
DO46380
51 years, female, NA, stage:III, dead, 1423 days
7565.8
DO46388
74 years, female, NA, stage:III, dead, 413 days
7134.5
DO46392
48 years, female, NA, stage:III, dead, 628 days
7028.6
DO46384
55 years, female, NA, stage:III, dead, 614 days
6681.8
DO46370
54 years, female, NA, stage:III, dead, 1727 days
6582.5
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
6422.9
DO46354
73 years, female, NA, stage:III, dead, 843 days
6283.5
DO46508
50 years, female, NA, stage:III, dead, 2101 days
6216.8
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
6152.0
DO46561
52 years, female, NA, stage:III, dead, 195 days
6022.9
DO46606
73 years, female, NA, stage:III, alive, 804 days
5836.0
DO46568
66 years, female, NA, stage:III, dead, 320 days
5613.3
DO46331
72 years, female, NA, stage:III, dead, 612 days
5591.3
DO46338
59 years, female, NA, stage:III, dead, 596 days
5362.2
DO46364
45 years, female, NA, stage:III, dead, 806 days
5253.1
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
5238.5
DO46329
52 years, female, NA, stage:III, dead, 1699 days
5192.1
DO46400
70 years, female, NA, stage:III, dead, 719 days
5088.3
DO46372
39 years, female, NA, stage:III, dead, 1326 days
4980.3
DO46443
59 years, female, NA, stage:III, dead, 2464 days
4945.4
DO46581
66 years, female, NA, stage:III, dead, 408 days
4940.8
DO46404
55 years, female, NA, stage:III, dead, 690 days
4928.1
DO46362
61 years, female, NA, stage:III, dead, 1639 days
4665.6
DO46591
58 years, female, NA, stage:III, dead, 195 days
4665.5
DO46402
77 years, female, NA, stage:III, dead, 511 days
4607.5
DO46463
49 years, female, NA, stage:III, dead, 2451 days
4501.7
DO46325
54 years, female, NA, stage:III, dead, 477 days
4306.2
DO46330
60 years, female, NA, stage:III, dead, 684 days
4281.3
DO46344
46 years, female, NA, stage:III, dead, 642 days
4197.3
DO46597
60 years, female, NA, stage:III, dead, 393 days
3865.8
DO46328
52 years, female, NA, stage:III, dead, 972 days
3800.1
DO46334
77 years, female, NA, stage:III, dead, 496 days
3793.8
DO46326
51 years, female, NA, stage:III, dead, 701 days
3698.6
DO46340
62 years, female, NA, stage:III, dead, 616 days
3680.1
DO46528
56 years, female, NA, stage:III, alive, 6139 days
3639.6
DO46346
54 years, female, NA, stage:III, dead, 1187 days
3618.1
DO46448
45 years, female, NA, stage:III, dead, 654 days
3545.6
DO46376
58 years, female, NA, stage:III, dead, 1430 days
3539.3
DO46533
46 years, female, NA, stage:III, alive, 3667 days
3525.3
DO46560
45 years, female, NA, stage:IV, dead, 286 days
3502.9
DO46566
78 years, female, NA, stage:III, dead, 673 days
3387.7
DO46352
60 years, female, NA, stage:III, dead, 677 days
3355.6
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
3248.1
DO46327
54 years, female, NA, stage:III, dead, 184 days
3185.8
DO46398
66 years, female, NA, stage:III, alive, 437 days
3085.2
DO46368
57 years, female, NA, stage:III, dead, 2879 days
3078.4
DO46374
69 years, female, NA, stage:III, dead, 1409 days
2910.1
DO46378
59 years, female, NA, stage:III, alive, 843 days
2905.0
DO46386
49 years, female, NA, stage:III, dead, 1162 days
2743.4
DO46408
56 years, female, NA, stage:III, dead, 489 days
2679.0
DO46358
60 years, female, NA, stage:III, dead, 423 days
2600.7
DO46602
74 years, female, NA, stage:III, dead, 205 days
2507.6
DO46348
58 years, female, NA, stage:IV, dead, 287 days
2390.2
DO46412
64 years, female, NA, stage:III, dead, 597 days
2264.2
DO46342
67 years, female, NA, stage:III, dead, 1398 days
2237.4
DO46436
58 years, female, NA, stage:III, alive, 3193 days
2189.3
DO46332
56 years, female, NA, stage:III, dead, 689 days
2188.0
DO46396
64 years, female, NA, stage:III, dead, 583 days
2024.2
DO46382
62 years, female, NA, stage:IV, dead, 311 days
1938.7
DO46571
61 years, female, NA, stage:III, dead, 243 days
1888.5
DO46350
66 years, female, NA, stage:III, dead, 886 days
1834.1
DO46336
70 years, female, NA, stage:IV, dead, 664 days
1790.5
DO46432
56 years, female, NA, stage:III, alive, 2218 days
1757.2
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
1547.3
DO46468
67 years, female, NA, stage:III, alive, 2776 days
1219.5
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
1179.9
DO46588
74 years, female, NA, stage:III, dead, 438 days
1125.1
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
1.4
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
1.1
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
1.0
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
1.0
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
1.0
15524912-685a-47ce-a824-567848_D2
Tumor
1.0
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
1.0
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
0.9
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
0.9
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
0.9
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
0.8
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
0.8
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
0.8
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
0.8
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
0.8
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
0.7
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
0.7
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
0.7
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
0.7
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
0.7
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
0.7
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
0.7
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
0.7
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
0.7
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
0.7
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
0.6
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
0.6
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
0.6
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
0.6
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
0.6
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
0.6
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
0.5
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
0.5
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
0.5
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
0.5
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
0.5
10c2d629-0287-4511-ac25-f29031_D2
Tumor
0.5
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
0.5
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
0.5
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
0.5
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
0.5
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
0.5
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
0.5
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
0.4
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
0.4
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
0.4
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
0.4
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
0.3
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
0.3
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
0.3
340a3769-3031-41ae-bb08-a2f696_D2
Normal
0.3
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
0.3
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
0.3
1a10c200-3895-4648-b951-94f99f_D2
Tumor
0.3
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
0.3
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
0.3
161317f3-1a39-438e-af45-cd2502_D2
Tumor
0.2
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
0.2
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
0.2
1772e913-f62e-446a-8cf3-720348_D2
Tumor
0.2
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
0.2
285fed94-1495-448e-879b-b55de9_D2
Tumor
0.2
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
0.2
2f901c90-617e-46da-9fac-d68369_D2
Tumor
0.2
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
0.2
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
0.2
e9d416e7-f661-400a-896e-388545_D2
Tumor
0.2
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
0.2
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
0.1
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
0.1
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
0.1
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
0.1
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
0.1
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
0.1
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
0.1
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
0.0
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
0.0
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
0.0
a3a26070-fb84-406a-8280-d555e6_D2
Normal
0.0
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
0.0
a65d8e76-640f-4341-a561-afbb57_D2
Normal
0.0
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
0.0
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
-0.1
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
-0.1
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
-0.1
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
-0.1
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
-0.1
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
-0.1
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
-0.1
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
-0.2
1db5574d-aca7-403c-8100-6e705f_D2
Normal
-0.2
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
-0.2
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
-0.3
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
-0.3
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
-0.3
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
-0.3
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
-0.4
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
-0.4
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-0.4
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
-0.5
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
-0.5
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-0.5
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-0.5
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
-0.5
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
-0.6
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
-0.6
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
-0.6
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
-0.7
Show allShow less
OVARIAN CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
