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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.
RPL13 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
2935.2
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
11753.2
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
11506.6
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
11028.1
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
9397.0
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
8902.0
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
8505.4
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
8204.8
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
8082.8
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
7894.6
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
7780.0
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
7711.4
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
7367.7
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
6876.0
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
6866.7
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
6754.4
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
6631.6
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
6367.6
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
6331.7
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
6041.1
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
6031.3
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
5983.4
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
5912.9
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
5876.2
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
5844.7
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
5838.2
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
5750.7
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
5749.8
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
5739.4
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
5620.7
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
5538.6
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
5523.4
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
5361.4
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
5288.3
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
5249.8
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
5227.2
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
5147.8
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
5079.7
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
5068.7
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
5059.7
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
5015.5
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
4911.2
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
4871.8
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
4810.2
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
4664.8
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
4655.7
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
4613.7
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
4598.0
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
4592.4
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
4569.7
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
4433.5
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
4399.9
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
4300.8
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
4289.7
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
4283.7
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
4263.5
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
4229.4
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
4196.9
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
4161.8
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
4135.0
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
4019.3
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
4015.7
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
4010.8
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
4008.1
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
4006.7
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
3992.8
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
3976.4
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
3974.8
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
3970.3
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
3924.3
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
3905.9
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
3884.1
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
3883.7
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
3861.5
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
3840.9
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
3840.8
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
3808.3
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
3780.9
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
3760.8
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
3744.1
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
3736.1
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
3671.1
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
3628.4
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
3577.8
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
3559.5
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
3450.7
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
3449.1
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
3440.9
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
3418.8
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
3409.7
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
3404.0
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
3390.5
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
3350.0
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
3342.3
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
3323.6
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
3317.5
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
3316.0
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
3267.0
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
3256.6
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
3251.2
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
3192.9
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
3183.1
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
3169.5
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
3143.3
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
3141.8
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
3136.4
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
3134.4
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
3130.6
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
3126.4
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
3107.4
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
3105.7
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
3072.5
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
3069.5
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
3068.6
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
3062.1
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
3033.8
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
3023.2
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
3008.2
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
3005.5
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
2991.0
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
2981.2
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
2976.7
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
2975.8
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
2968.2
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
2947.7
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
2943.0
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
2919.3
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
2905.9
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
2900.7
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
2895.1
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
2892.5
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
2869.6
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
2863.7
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
2862.5
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
2853.1
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
2843.7
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
2826.8
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
2826.5
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
2820.8
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
2819.1
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
2808.9
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
2806.2
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
2803.2
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
2777.1
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
2775.3
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
2752.3
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
2745.3
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
2744.0
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
2736.5
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
2729.3
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
2719.0
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
2690.5
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
2689.5
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
2651.1
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
2633.4
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
2633.4
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
2627.6
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
2615.0
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
2611.6
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
2602.0
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
2599.2
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
2588.9
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
2581.6
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
2567.5
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
2560.2
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
2559.2
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
2557.3
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
2542.7
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
2534.8
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
2525.6
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
2510.7
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
2505.4
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
2497.9
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
2495.6
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
2487.7
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
2485.3
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
2441.1
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
2436.4
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
2420.1
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
2416.5
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
2408.8
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
2393.5
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
2362.4
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
2351.9
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
2333.2
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
2314.9
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
2312.9
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
2309.0
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
2292.0
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
2277.0
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
2272.8
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
2271.0
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
2264.5
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
2262.8
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
2256.0
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
2252.0
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
2228.6
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
2212.8
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
2209.8
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
2203.3
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
2200.6
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
2197.2
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
2191.8
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
2187.5
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
2172.0
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
2171.2
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
2148.1
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
2131.0
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
2126.3
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
2116.2
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
2113.8
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
2107.0
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
2099.9
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
2092.5
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
2086.7
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
2078.9
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
2069.2
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
2063.2
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
2059.7
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
2053.2
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
2052.6
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
2052.4
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
2051.4
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
2046.6
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
2028.1
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
2010.9
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
2010.3
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
1989.3
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
1989.0
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
1988.9
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
1976.7
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
1976.4
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
1975.2
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
1974.4
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
1970.7
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
1964.0
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
1941.5
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
1940.3
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
1939.6
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
1936.2
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
1907.6
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
1905.3
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
1899.9
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
1899.6
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
1894.9
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
1887.1
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
1876.6
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
1875.4
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
1871.8
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
1870.2
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
1869.9
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
1867.8
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
1864.6
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
1861.0
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
1860.7
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
1859.5
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
1854.0
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
1852.5
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
1840.7
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
1836.0
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
1833.5
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
1829.6
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
1828.9
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
1820.2
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
1820.0
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
1818.7
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
1808.4
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
1805.5
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
1802.0
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
1786.9
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
1784.4
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
1769.3
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
1766.5
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
1764.4
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
1759.6
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
1751.0
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
1747.3
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
1745.2
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
1737.6
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
1723.4
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
1722.3
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
1704.7
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
1699.8
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
1693.3
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
1692.3
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
1688.5
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
1679.3
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
1655.4
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
1650.8
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
1650.0
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
1643.0
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
1636.5
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
1611.1
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
1603.1
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
1594.6
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
1587.9
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
1587.5
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
1586.2
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
1585.9
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
1579.7
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
1568.2
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
1558.4
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
1554.1
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
1551.2
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
1548.9
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
1540.1
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
1527.2
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
1520.0
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
1493.9
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
1491.3
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
1486.4
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
1482.3
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
1479.3
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
1456.3
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
1454.2
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
1450.0
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
1431.0
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
1430.8
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
1420.3
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
1392.2
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
1378.4
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
1377.6
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
1368.0
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
1364.7
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
1356.3
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
1326.8
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
1313.6
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
1293.2
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
1268.9
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
1267.7
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
1251.6
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
1226.5
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
1221.2
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
1176.3
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
1163.0
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
1155.3
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
1148.7
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
1141.6
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
1110.6
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
1098.6
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
1077.4
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
1042.9
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
1026.6
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
985.7
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
973.2
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
937.5
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
913.0
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
879.8
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
879.8
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 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.
RPL13 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
3426.4
Number of samples
81
Samples
Sample
Description
pTPM
DO46384
55 years, female, NA, stage:III, dead, 614 days
12514.3
DO46333
58 years, female, NA, stage:III, dead, 359 days
11855.2
DO46611
52 years, female, NA, stage:III, dead, 734 days
10707.2
DO46356
68 years, female, NA, stage:III, dead, 911 days
8928.1
DO46338
59 years, female, NA, stage:III, dead, 596 days
7659.5
DO46453
66 years, female, NA, stage:III, dead, 3294 days
6726.4
DO46402
77 years, female, NA, stage:III, dead, 511 days
6402.3
DO46538
57 years, female, NA, stage:III, dead, 1527 days
6291.5
DO46463
49 years, female, NA, stage:III, dead, 2451 days
6062.7
DO46326
51 years, female, NA, stage:III, dead, 701 days
6017.9
DO46328
52 years, female, NA, stage:III, dead, 972 days
5927.4
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
5916.3
DO46597
60 years, female, NA, stage:III, dead, 393 days
5348.2
DO46390
65 years, female, NA, stage:III, dead, 374 days
4984.6
DO46331
72 years, female, NA, stage:III, dead, 612 days
4944.2
DO46342
67 years, female, NA, stage:III, dead, 1398 days
4494.7
DO46546
73 years, female, NA, stage:III, dead, 1889 days
4352.1
DO46581
66 years, female, NA, stage:III, dead, 408 days
4267.4
DO46533
46 years, female, NA, stage:III, alive, 3667 days
4209.2
DO46586
55 years, female, NA, stage:III, dead, 1019 days
4052.4
DO46392
48 years, female, NA, stage:III, dead, 628 days
4040.8
DO46576
75 years, female, NA, stage:III, alive, 133 days
3870.9
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
3826.2
DO46366
65 years, female, NA, stage:III, dead, 2054 days
3716.0
DO46376
58 years, female, NA, stage:III, dead, 1430 days
3707.9
DO46370
54 years, female, NA, stage:III, dead, 1727 days
3630.8
DO46591
58 years, female, NA, stage:III, dead, 195 days
3593.3
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
3373.2
DO46568
66 years, female, NA, stage:III, dead, 320 days
3361.5
DO46518
62 years, female, NA, stage:III, alive, 2960 days
3353.0
DO46508
50 years, female, NA, stage:III, dead, 2101 days
3215.8
DO46443
59 years, female, NA, stage:III, dead, 2464 days
3200.4
DO46588
74 years, female, NA, stage:III, dead, 438 days
3132.9
DO46468
67 years, female, NA, stage:III, alive, 2776 days
3034.2
DO46398
66 years, female, NA, stage:III, alive, 437 days
3007.6
DO46344
46 years, female, NA, stage:III, dead, 642 days
2882.9
DO46364
45 years, female, NA, stage:III, dead, 806 days
2871.0
DO46404
55 years, female, NA, stage:III, dead, 690 days
2755.1
DO46329
52 years, female, NA, stage:III, dead, 1699 days
2540.9
DO46362
61 years, female, NA, stage:III, dead, 1639 days
2461.5
DO46448
45 years, female, NA, stage:III, dead, 654 days
2448.1
DO46330
60 years, female, NA, stage:III, dead, 684 days
2413.9
DO46334
77 years, female, NA, stage:III, dead, 496 days
2393.3
DO46372
39 years, female, NA, stage:III, dead, 1326 days
2379.8
DO46551
58 years, female, NA, stage:III, dead, 1055 days
2368.4
DO46412
64 years, female, NA, stage:III, dead, 597 days
2321.0
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
2309.8
DO46380
51 years, female, NA, stage:III, dead, 1423 days
2302.3
DO46493
62 years, female, NA, stage:IV, alive, 839 days
2269.8
DO46560
45 years, female, NA, stage:IV, dead, 286 days
2257.3
DO46400
70 years, female, NA, stage:III, dead, 719 days
2248.1
DO46561
52 years, female, NA, stage:III, dead, 195 days
2233.6
DO46350
66 years, female, NA, stage:III, dead, 886 days
2215.7
DO46374
69 years, female, NA, stage:III, dead, 1409 days
2208.3
DO46352
60 years, female, NA, stage:III, dead, 677 days
2201.1
DO46348
58 years, female, NA, stage:IV, dead, 287 days
2191.6
DO46566
78 years, female, NA, stage:III, dead, 673 days
2159.0
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
2131.2
DO46382
62 years, female, NA, stage:IV, dead, 311 days
2102.5
DO46378
59 years, female, NA, stage:III, alive, 843 days
2035.5
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
2024.0
DO46408
56 years, female, NA, stage:III, dead, 489 days
2003.6
DO46346
54 years, female, NA, stage:III, dead, 1187 days
1988.3
DO46325
54 years, female, NA, stage:III, dead, 477 days
1944.9
DO46368
57 years, female, NA, stage:III, dead, 2879 days
1940.7
DO46396
64 years, female, NA, stage:III, dead, 583 days
1892.1
DO46528
56 years, female, NA, stage:III, alive, 6139 days
1888.5
DO46327
54 years, female, NA, stage:III, dead, 184 days
1862.7
DO46388
74 years, female, NA, stage:III, dead, 413 days
1846.8
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
1845.4
DO46354
73 years, female, NA, stage:III, dead, 843 days
1771.1
DO46432
56 years, female, NA, stage:III, alive, 2218 days
1763.0
DO46386
49 years, female, NA, stage:III, dead, 1162 days
1751.0
DO46602
74 years, female, NA, stage:III, dead, 205 days
1543.1
DO46358
60 years, female, NA, stage:III, dead, 423 days
1465.9
DO46332
56 years, female, NA, stage:III, dead, 689 days
1420.6
DO46340
62 years, female, NA, stage:III, dead, 616 days
1412.7
DO46571
61 years, female, NA, stage:III, dead, 243 days
1394.8
DO46336
70 years, female, NA, stage:IV, dead, 664 days
1286.4
DO46606
73 years, female, NA, stage:III, alive, 804 days
1234.5
DO46436
58 years, female, NA, stage:III, alive, 3193 days
834.3
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
1.4
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
1.3
161317f3-1a39-438e-af45-cd2502_D2
Tumor
1.3
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
1.2
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
1.2
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
1.2
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
1.1
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
1.0
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
1.0
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
1.0
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
1.0
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
0.9
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
0.9
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
0.9
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
0.9
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
0.9
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
0.9
e9d416e7-f661-400a-896e-388545_D2
Tumor
0.9
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
0.9
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
0.9
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
0.8
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
0.8
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
0.8
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
0.8
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
0.8
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
0.7
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
0.7
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
0.7
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
0.7
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
0.7
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
0.6
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
0.6
15524912-685a-47ce-a824-567848_D2
Tumor
0.6
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
0.6
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
0.6
285fed94-1495-448e-879b-b55de9_D2
Tumor
0.6
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
0.6
1a10c200-3895-4648-b951-94f99f_D2
Tumor
0.6
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
0.6
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
0.5
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
0.5
2f901c90-617e-46da-9fac-d68369_D2
Tumor
0.5
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
0.5
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
0.5
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
0.5
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
0.5
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
0.5
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
0.5
340a3769-3031-41ae-bb08-a2f696_D2
Normal
0.5
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
0.5
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
0.5
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
0.5
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
0.5
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
0.5
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
0.5
10c2d629-0287-4511-ac25-f29031_D2
Tumor
0.5
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
0.4
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
0.4
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
0.4
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
0.4
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
0.4
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
0.4
1772e913-f62e-446a-8cf3-720348_D2
Tumor
0.4
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
0.3
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
0.3
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
0.3
1db5574d-aca7-403c-8100-6e705f_D2
Normal
0.3
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
0.3
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
0.3
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
0.2
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
0.2
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
0.2
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
0.2
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
0.1
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
0.1
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
0.1
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
0.0
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
0.0
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
0.0
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
0.0
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
0.0
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
-0.1
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
-0.1
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
-0.1
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
-0.1
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
-0.1
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
-0.2
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
-0.2
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
-0.2
a65d8e76-640f-4341-a561-afbb57_D2
Normal
-0.2
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
-0.3
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
-0.3
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
-0.3
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
-0.3
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
-0.3
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-0.3
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
-0.4
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
-0.4
a3a26070-fb84-406a-8280-d555e6_D2
Normal
-0.5
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
-0.5
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
-0.5
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
-0.5
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
-0.6
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
-0.6
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
-0.7
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-0.8
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-1.1
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
-1.2
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
