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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.
RPLP0 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 TPM
2920.7
Number of samples
349
Samples
Sample
Description
TPM
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
8443.2
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
8298.1
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
7373.3
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
6905.8
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
6756.5
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
6674.6
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
6657.0
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
6628.1
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
6510.4
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
6186.8
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
6056.8
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
5986.6
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
5870.2
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
5780.0
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
5754.9
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
5738.0
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
5734.3
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
5589.1
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
5424.0
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
5329.2
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
5107.1
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
5104.5
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
5051.6
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
5020.5
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
4977.7
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
4923.1
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
4917.3
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
4906.0
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
4866.2
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
4855.8
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
4790.2
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
4786.7
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
4710.2
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
4705.0
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
4692.1
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
4649.1
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
4644.1
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
4624.8
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
4617.7
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
4588.4
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
4514.0
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
4494.9
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
4491.4
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
4483.0
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
4474.9
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
4468.1
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
4446.0
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
4444.7
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
4406.2
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
4353.0
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
4344.8
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
4314.3
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
4304.0
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
4285.2
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
4261.4
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
4261.4
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
4257.9
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
4221.8
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
4194.4
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
4191.4
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
4140.6
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
4053.3
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
3978.7
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
3975.2
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
3930.7
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
3919.5
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
3908.2
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
3902.7
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
3886.8
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
3870.3
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
3839.6
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
3829.8
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
3817.0
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
3791.8
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
3789.8
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
3785.3
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
3762.1
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
3760.3
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
3737.1
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
3731.6
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
3722.8
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
3721.1
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
3719.7
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
3718.7
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
3695.7
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
3689.8
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
3664.1
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
3658.6
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
3641.9
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
3615.3
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
3569.0
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
3546.1
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
3533.7
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
3530.9
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
3522.1
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
3509.1
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
3504.8
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
3492.4
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
3479.6
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
3467.3
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
3459.9
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
3458.4
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
3447.1
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
3427.0
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
3413.3
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
3405.6
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
3368.9
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
3350.4
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
3346.9
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
3344.8
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
3327.0
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
3320.9
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
3319.1
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
3317.0
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
3309.1
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
3295.2
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
3270.8
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
3265.6
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
3253.3
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
3236.5
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
3224.5
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
3212.2
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
3193.4
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
3183.7
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
3177.9
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
3174.2
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
3171.0
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
3162.1
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
3151.1
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
3147.0
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
3143.1
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
3125.1
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
3120.2
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
3099.3
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
3079.3
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
3064.5
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
3063.2
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
3039.8
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
3021.7
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
3010.9
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
2988.4
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
2983.3
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
2975.7
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
2962.3
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
2947.5
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
2917.2
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
2914.4
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
2910.0
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
2891.4
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
2887.7
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
2871.1
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
2865.8
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
2855.2
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
2827.1
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
2823.9
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
2819.6
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
2819.6
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
2785.7
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
2782.3
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
2761.9
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
2759.8
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
2752.7
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
2748.4
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
2744.9
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
2743.9
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
2713.0
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
2697.3
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
2688.5
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
2681.6
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
2679.3
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
2677.9
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
2670.9
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
2669.5
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
2664.5
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
2644.3
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
2611.2
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
2595.5
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
2593.2
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
2583.6
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
2583.5
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
2582.5
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
2582.3
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
2577.5
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
2561.2
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
2555.2
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
2542.5
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
2535.4
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
2515.0
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
2496.9
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
2488.0
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
2479.5
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
2478.8
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
2478.4
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
2478.2
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
2477.3
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
2472.7
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
2471.9
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
2453.8
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
2453.7
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
2446.6
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
2443.6
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
2410.3
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
2406.9
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
2404.8
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
2387.8
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
2375.6
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
2371.3
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
2367.6
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
2355.5
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
2349.4
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
2340.5
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
2339.5
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
2338.2
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
2337.0
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
2326.0
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
2315.3
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
2305.3
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
2304.9
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
2304.8
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
2283.6
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
2283.1
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
2282.8
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
2278.4
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
2266.1
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
2256.3
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
2239.8
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
2237.7
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
2234.8
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
2233.2
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
2222.4
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
2217.8
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
2214.0
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
2209.9
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
2202.1
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
2193.1
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
2192.6
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
2169.6
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
2160.5
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
2158.4
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
2129.7
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
2128.2
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
2112.8
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
2104.2
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
2103.5
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
2094.4
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
2092.3
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
2091.4
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
2072.7
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
2071.2
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
2056.9
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
2054.8
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
2037.6
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
2016.7
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
2007.6
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
2004.5
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
1980.9
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
1976.3
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
1951.2
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
1950.7
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
1944.5
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
1941.2
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
1926.4
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
1903.4
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
1883.2
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
1881.0
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
1876.2
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
1874.8
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
1873.7
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
1873.7
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
1868.8
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
1848.7
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
1843.3
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
1838.0
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
1834.9
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
1817.4
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
1813.4
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
1812.5
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
1803.4
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
1801.5
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
1798.4
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
1797.9
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
1794.2
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
1787.2
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
1779.2
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
1760.2
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
1758.5
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
1757.5
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
1748.8
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
1745.3
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
1744.6
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
1730.1
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
1728.2
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
1708.0
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
1702.1
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
1701.7
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
1664.9
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
1647.7
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
1629.1
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
1617.5
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
1611.9
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
1582.4
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
1568.5
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
1563.3
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
1559.7
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
1555.4
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
1553.1
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
1551.8
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
1546.8
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
1542.7
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
1536.6
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
1527.5
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
1508.0
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
1504.1
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
1494.9
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
1483.3
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
1479.4
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
1460.0
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
1421.9
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
1415.6
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
1387.8
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
1385.9
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
1380.4
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
1377.4
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
1372.6
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
1343.9
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
1343.8
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
1316.4
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
1314.7
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
1297.1
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
1265.3
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
1263.5
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
1255.4
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
1235.0
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
1231.5
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
1223.0
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
1196.7
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
1141.9
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
1106.4
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
1076.1
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
1040.9
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
1036.6
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
1026.4
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
1000.5
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
990.4
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
961.9
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
957.0
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
880.8
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
876.5
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 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.
RPLP0 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 TPM
2981.1
Number of samples
81
Samples
Sample
Description
TPM
DO46384
55 years, female, NA, stage:III, dead, 614 days
9516.8
DO46328
52 years, female, NA, stage:III, dead, 972 days
5657.5
DO46568
66 years, female, NA, stage:III, dead, 320 days
5605.6
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
5403.9
DO46402
77 years, female, NA, stage:III, dead, 511 days
5316.3
DO46611
52 years, female, NA, stage:III, dead, 734 days
5225.8
DO46390
65 years, female, NA, stage:III, dead, 374 days
5103.8
DO46330
60 years, female, NA, stage:III, dead, 684 days
5058.2
DO46338
59 years, female, NA, stage:III, dead, 596 days
4826.7
DO46576
75 years, female, NA, stage:III, alive, 133 days
4732.0
DO46366
65 years, female, NA, stage:III, dead, 2054 days
4666.7
DO46356
68 years, female, NA, stage:III, dead, 911 days
4574.5
DO46591
58 years, female, NA, stage:III, dead, 195 days
4452.5
DO46581
66 years, female, NA, stage:III, dead, 408 days
4434.3
DO46364
45 years, female, NA, stage:III, dead, 806 days
4422.8
DO46463
49 years, female, NA, stage:III, dead, 2451 days
4347.1
DO46566
78 years, female, NA, stage:III, dead, 673 days
4345.6
DO46358
60 years, female, NA, stage:III, dead, 423 days
4332.8
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
4222.0
DO46342
67 years, female, NA, stage:III, dead, 1398 days
4159.9
DO46326
51 years, female, NA, stage:III, dead, 701 days
3987.3
DO46331
72 years, female, NA, stage:III, dead, 612 days
3961.8
DO46346
54 years, female, NA, stage:III, dead, 1187 days
3842.7
DO46333
58 years, female, NA, stage:III, dead, 359 days
3804.9
DO46370
54 years, female, NA, stage:III, dead, 1727 days
3677.8
DO46432
56 years, female, NA, stage:III, alive, 2218 days
3432.8
DO46352
60 years, female, NA, stage:III, dead, 677 days
3296.0
DO46586
55 years, female, NA, stage:III, dead, 1019 days
3224.9
DO46533
46 years, female, NA, stage:III, alive, 3667 days
3099.5
DO46412
64 years, female, NA, stage:III, dead, 597 days
3046.7
DO46392
48 years, female, NA, stage:III, dead, 628 days
2995.7
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
2932.4
DO46518
62 years, female, NA, stage:III, alive, 2960 days
2924.6
DO46350
66 years, female, NA, stage:III, dead, 886 days
2866.7
DO46329
52 years, female, NA, stage:III, dead, 1699 days
2863.7
DO46597
60 years, female, NA, stage:III, dead, 393 days
2823.5
DO46443
59 years, female, NA, stage:III, dead, 2464 days
2811.3
DO46378
59 years, female, NA, stage:III, alive, 843 days
2800.2
DO46334
77 years, female, NA, stage:III, dead, 496 days
2713.1
DO46372
39 years, female, NA, stage:III, dead, 1326 days
2612.4
DO46453
66 years, female, NA, stage:III, dead, 3294 days
2554.9
DO46468
67 years, female, NA, stage:III, alive, 2776 days
2539.7
DO46588
74 years, female, NA, stage:III, dead, 438 days
2526.5
DO46336
70 years, female, NA, stage:IV, dead, 664 days
2468.4
DO46354
73 years, female, NA, stage:III, dead, 843 days
2454.9
DO46493
62 years, female, NA, stage:IV, alive, 839 days
2412.0
DO46362
61 years, female, NA, stage:III, dead, 1639 days
2411.7
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
2381.0
DO46380
51 years, female, NA, stage:III, dead, 1423 days
2346.1
DO46436
58 years, female, NA, stage:III, alive, 3193 days
2318.7
DO46561
52 years, female, NA, stage:III, dead, 195 days
2311.2
DO46560
45 years, female, NA, stage:IV, dead, 286 days
2305.0
DO46538
57 years, female, NA, stage:III, dead, 1527 days
2274.5
DO46376
58 years, female, NA, stage:III, dead, 1430 days
2265.8
DO46602
74 years, female, NA, stage:III, dead, 205 days
2262.1
DO46396
64 years, female, NA, stage:III, dead, 583 days
2227.8
DO46398
66 years, female, NA, stage:III, alive, 437 days
2078.4
DO46388
74 years, female, NA, stage:III, dead, 413 days
2053.1
DO46386
49 years, female, NA, stage:III, dead, 1162 days
2025.8
DO46374
69 years, female, NA, stage:III, dead, 1409 days
1982.8
DO46400
70 years, female, NA, stage:III, dead, 719 days
1958.6
DO46327
54 years, female, NA, stage:III, dead, 184 days
1796.4
DO46382
62 years, female, NA, stage:IV, dead, 311 days
1792.1
DO46508
50 years, female, NA, stage:III, dead, 2101 days
1754.3
DO46551
58 years, female, NA, stage:III, dead, 1055 days
1741.2
DO46368
57 years, female, NA, stage:III, dead, 2879 days
1738.7
DO46348
58 years, female, NA, stage:IV, dead, 287 days
1738.5
DO46344
46 years, female, NA, stage:III, dead, 642 days
1586.6
DO46404
55 years, female, NA, stage:III, dead, 690 days
1584.2
DO46408
56 years, female, NA, stage:III, dead, 489 days
1561.5
DO46325
54 years, female, NA, stage:III, dead, 477 days
1524.3
DO46528
56 years, female, NA, stage:III, alive, 6139 days
1518.4
DO46448
45 years, female, NA, stage:III, dead, 654 days
1463.6
DO46571
61 years, female, NA, stage:III, dead, 243 days
1440.1
DO46332
56 years, female, NA, stage:III, dead, 689 days
1420.2
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
1325.4
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
1107.0
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
1101.8
DO46606
73 years, female, NA, stage:III, alive, 804 days
1091.8
DO46340
62 years, female, NA, stage:III, dead, 616 days
1061.7
DO46546
73 years, female, NA, stage:III, dead, 1889 days
841.9
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
0.9
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
0.9
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
0.8
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
0.6
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
0.6
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
0.5
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
0.5
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
0.4
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
0.4
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
0.4
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
0.4
e9d416e7-f661-400a-896e-388545_D2
Tumor
0.4
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
0.4
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
0.3
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
0.3
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
0.3
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
0.3
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
0.3
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
0.2
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
0.2
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
0.2
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
0.2
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
0.2
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
0.2
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
0.2
161317f3-1a39-438e-af45-cd2502_D2
Tumor
0.2
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
0.2
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
0.2
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
0.2
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
0.2
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
0.2
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
0.1
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
0.1
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
0.1
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
0.1
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
0.1
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
0.1
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
0.1
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
0.1
285fed94-1495-448e-879b-b55de9_D2
Tumor
0.1
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
0.1
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
0.1
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
0.0
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
0.0
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
0.0
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
0.0
1772e913-f62e-446a-8cf3-720348_D2
Tumor
0.0
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
0.0
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
0.0
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
0.0
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
0.0
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
0.0
2f901c90-617e-46da-9fac-d68369_D2
Tumor
0.0
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
0.0
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
0.0
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
-0.1
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
-0.1
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
-0.1
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
-0.1
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-0.1
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
-0.1
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
-0.1
10c2d629-0287-4511-ac25-f29031_D2
Tumor
-0.1
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
-0.1
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
-0.1
15524912-685a-47ce-a824-567848_D2
Tumor
-0.1
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
-0.1
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
-0.1
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
-0.1
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
-0.1
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
-0.1
a65d8e76-640f-4341-a561-afbb57_D2
Normal
-0.1
340a3769-3031-41ae-bb08-a2f696_D2
Normal
-0.1
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
-0.1
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
-0.2
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-0.2
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
-0.2
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
-0.2
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-0.2
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
-0.2
1db5574d-aca7-403c-8100-6e705f_D2
Normal
-0.2
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
-0.2
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
-0.2
1a10c200-3895-4648-b951-94f99f_D2
Tumor
-0.2
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
-0.3
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
-0.3
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
-0.3
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
-0.3
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
-0.3
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
-0.3
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
-0.3
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
-0.3
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
-0.3
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
-0.3
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
-0.3
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
-0.3
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
-0.3
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
-0.3
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
-0.3
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
-0.4
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
-0.4
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
-0.4
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
-0.4
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
-0.4
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
-0.4
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
-0.5
a3a26070-fb84-406a-8280-d555e6_D2
Normal
-0.5
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
-0.5
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
