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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.
RPL39 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
3079.2
Number of samples
349
Samples
Sample
Description
TPM
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
10525.2
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
10331.8
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
9125.4
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
8508.2
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
8304.8
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
8299.6
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
8144.3
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
8114.2
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
7863.5
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
7584.9
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
7563.3
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
7553.9
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
7119.7
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
6648.2
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
6547.9
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
6544.0
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
6529.2
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
6457.4
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
6411.1
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
6376.1
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
6127.6
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
6011.2
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
5933.3
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
5924.3
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
5835.0
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
5747.9
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
5695.5
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
5682.5
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
5661.4
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
5610.1
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
5582.7
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
5526.1
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
5517.9
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
5464.9
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
5329.3
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
5261.4
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
5193.4
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
5073.2
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
5037.5
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
4994.4
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
4953.5
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
4944.8
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
4938.1
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
4865.2
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
4846.8
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
4799.8
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
4789.3
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
4704.8
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
4697.3
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
4675.0
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
4674.4
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
4673.7
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
4670.0
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
4648.0
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
4635.0
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
4599.9
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
4589.6
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
4560.6
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
4543.5
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
4474.3
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
4472.0
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
4469.2
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
4467.7
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
4429.8
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
4333.9
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
4330.9
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
4316.7
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
4243.0
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
4220.9
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
4218.3
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
4205.4
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
4179.7
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
4174.4
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
4162.1
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
4097.8
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
4084.1
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
4043.4
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
4031.8
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
3990.6
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
3983.4
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
3975.5
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
3969.0
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
3960.7
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
3952.2
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
3945.0
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
3870.2
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
3835.2
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
3823.2
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
3806.0
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
3795.5
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
3781.7
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
3759.1
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
3750.2
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
3746.8
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
3721.6
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
3712.0
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
3707.6
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
3695.2
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
3654.2
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
3608.6
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
3579.8
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
3554.2
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
3503.7
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
3497.2
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
3483.9
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
3477.6
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
3432.4
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
3431.8
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
3407.7
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
3390.4
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
3373.4
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
3373.1
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
3355.7
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
3342.3
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
3339.7
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
3337.0
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
3331.2
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
3315.6
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
3243.3
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
3222.3
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
3208.8
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
3172.9
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
3143.7
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
3134.0
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
3130.8
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
3113.2
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
3092.6
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
3081.5
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
3066.3
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
3066.3
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
3048.4
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
3047.1
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
3042.6
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
3026.8
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
3022.0
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
3013.6
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
2999.7
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
2997.4
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
2995.0
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
2993.3
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
2982.0
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
2973.3
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
2970.9
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
2965.9
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
2961.8
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
2959.7
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
2947.0
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
2946.9
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
2942.7
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
2941.8
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
2933.3
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
2915.6
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
2898.2
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
2895.6
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
2892.7
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
2890.5
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
2878.8
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
2877.1
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
2859.6
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
2856.5
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
2850.9
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
2805.0
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
2804.5
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
2803.1
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
2784.0
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
2779.5
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
2778.2
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
2766.6
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
2754.1
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
2743.7
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
2715.9
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
2699.1
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
2686.7
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
2678.8
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
2660.3
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
2638.2
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
2627.0
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
2616.0
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
2594.8
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
2591.6
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
2565.4
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
2551.8
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
2546.8
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
2535.1
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
2534.1
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
2525.6
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
2517.4
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
2503.4
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
2495.7
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
2492.2
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
2490.4
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
2487.8
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
2468.8
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
2468.0
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
2463.6
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
2451.9
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
2449.3
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
2447.9
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
2436.8
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
2430.9
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
2428.9
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
2420.7
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
2403.5
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
2401.1
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
2397.0
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
2395.3
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
2393.4
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
2388.1
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
2365.4
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
2364.1
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
2348.3
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
2331.3
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
2330.5
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
2319.9
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
2280.2
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
2269.0
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
2248.6
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
2248.4
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
2244.7
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
2240.3
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
2238.2
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
2231.8
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
2228.7
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
2225.1
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
2218.5
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
2208.0
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
2205.2
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
2179.5
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
2173.4
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
2172.7
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
2159.5
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
2154.9
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
2154.7
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
2141.1
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
2129.4
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
2117.7
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
2117.4
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
2052.4
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
2047.7
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
2046.7
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
2046.6
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
2044.8
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
2034.2
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
2032.2
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
2011.0
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
2004.4
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
1997.9
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
1993.5
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
1972.2
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
1947.2
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
1945.9
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
1942.0
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
1938.3
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
1933.3
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
1918.0
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
1916.5
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
1909.4
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
1897.4
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
1883.3
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
1879.4
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
1870.6
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
1866.9
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
1853.3
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
1830.4
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
1830.1
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
1829.5
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
1811.9
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
1811.1
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
1806.0
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
1795.0
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
1793.9
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
1781.1
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
1780.8
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
1768.5
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
1767.0
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
1755.3
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
1746.1
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
1742.6
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
1739.2
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
1736.7
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
1736.1
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
1735.2
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
1727.5
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
1719.0
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
1717.8
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
1703.8
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
1677.6
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
1675.6
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
1670.5
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
1662.0
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
1655.4
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
1648.4
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
1645.2
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
1626.2
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
1622.0
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
1614.7
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
1608.5
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
1592.3
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
1584.4
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
1580.2
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
1578.3
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
1571.7
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
1571.1
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
1568.1
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
1560.2
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
1560.1
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
1540.2
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
1536.4
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
1534.5
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
1533.7
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
1533.2
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
1504.6
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
1502.3
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
1502.0
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
1484.6
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
1483.2
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
1459.6
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
1455.1
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
1413.7
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
1409.2
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
1396.6
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
1387.2
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
1379.5
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
1364.2
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
1359.0
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
1358.1
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
1338.4
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
1332.8
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
1327.1
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
1291.6
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
1279.3
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
1260.3
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
1251.0
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
1249.7
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
1195.8
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
1187.5
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
1183.1
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
1081.3
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
1035.7
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
1017.8
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
1010.7
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
1002.2
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
943.9
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
932.7
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
908.0
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
906.2
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
867.2
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
846.7
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 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.
RPL39 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
3670.4
Number of samples
81
Samples
Sample
Description
TPM
DO46366
65 years, female, NA, stage:III, dead, 2054 days
10556.5
DO46568
66 years, female, NA, stage:III, dead, 320 days
8707.6
DO46384
55 years, female, NA, stage:III, dead, 614 days
7416.3
DO46591
58 years, female, NA, stage:III, dead, 195 days
7390.5
DO46561
52 years, female, NA, stage:III, dead, 195 days
7035.5
DO46581
66 years, female, NA, stage:III, dead, 408 days
6574.6
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
6474.7
DO46404
55 years, female, NA, stage:III, dead, 690 days
6126.6
DO46453
66 years, female, NA, stage:III, dead, 3294 days
5841.1
DO46325
54 years, female, NA, stage:III, dead, 477 days
5716.1
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
5641.1
DO46392
48 years, female, NA, stage:III, dead, 628 days
5480.4
DO46356
68 years, female, NA, stage:III, dead, 911 days
5389.4
DO46333
58 years, female, NA, stage:III, dead, 359 days
5188.3
DO46342
67 years, female, NA, stage:III, dead, 1398 days
5099.3
DO46380
51 years, female, NA, stage:III, dead, 1423 days
5082.9
DO46493
62 years, female, NA, stage:IV, alive, 839 days
5031.0
DO46352
60 years, female, NA, stage:III, dead, 677 days
4568.3
DO46412
64 years, female, NA, stage:III, dead, 597 days
4444.3
DO46586
55 years, female, NA, stage:III, dead, 1019 days
4403.3
DO46386
49 years, female, NA, stage:III, dead, 1162 days
4375.4
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
4355.1
DO46390
65 years, female, NA, stage:III, dead, 374 days
4273.8
DO46331
72 years, female, NA, stage:III, dead, 612 days
4248.2
DO46364
45 years, female, NA, stage:III, dead, 806 days
4243.0
DO46597
60 years, female, NA, stage:III, dead, 393 days
4206.0
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
4077.4
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
3997.6
DO46328
52 years, female, NA, stage:III, dead, 972 days
3880.2
DO46611
52 years, female, NA, stage:III, dead, 734 days
3820.6
DO46378
59 years, female, NA, stage:III, alive, 843 days
3707.8
DO46372
39 years, female, NA, stage:III, dead, 1326 days
3595.1
DO46533
46 years, female, NA, stage:III, alive, 3667 days
3574.9
DO46463
49 years, female, NA, stage:III, dead, 2451 days
3547.6
DO46376
58 years, female, NA, stage:III, dead, 1430 days
3442.7
DO46350
66 years, female, NA, stage:III, dead, 886 days
3400.8
DO46432
56 years, female, NA, stage:III, alive, 2218 days
3353.4
DO46370
54 years, female, NA, stage:III, dead, 1727 days
3307.3
DO46528
56 years, female, NA, stage:III, alive, 6139 days
3275.4
DO46354
73 years, female, NA, stage:III, dead, 843 days
3265.2
DO46326
51 years, female, NA, stage:III, dead, 701 days
3248.1
DO46576
75 years, female, NA, stage:III, alive, 133 days
3245.9
DO46508
50 years, female, NA, stage:III, dead, 2101 days
3234.6
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
3209.7
DO46551
58 years, female, NA, stage:III, dead, 1055 days
3107.1
DO46338
59 years, female, NA, stage:III, dead, 596 days
3038.5
DO46388
74 years, female, NA, stage:III, dead, 413 days
2978.2
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
2960.5
DO46408
56 years, female, NA, stage:III, dead, 489 days
2867.5
DO46400
70 years, female, NA, stage:III, dead, 719 days
2863.2
DO46602
74 years, female, NA, stage:III, dead, 205 days
2852.7
DO46346
54 years, female, NA, stage:III, dead, 1187 days
2818.6
DO46566
78 years, female, NA, stage:III, dead, 673 days
2814.5
DO46402
77 years, female, NA, stage:III, dead, 511 days
2731.7
DO46560
45 years, female, NA, stage:IV, dead, 286 days
2682.2
DO46448
45 years, female, NA, stage:III, dead, 654 days
2653.1
DO46436
58 years, female, NA, stage:III, alive, 3193 days
2650.9
DO46334
77 years, female, NA, stage:III, dead, 496 days
2561.8
DO46538
57 years, female, NA, stage:III, dead, 1527 days
2481.7
DO46336
70 years, female, NA, stage:IV, dead, 664 days
2477.2
DO46546
73 years, female, NA, stage:III, dead, 1889 days
2428.6
DO46374
69 years, female, NA, stage:III, dead, 1409 days
2427.5
DO46368
57 years, female, NA, stage:III, dead, 2879 days
2423.5
DO46443
59 years, female, NA, stage:III, dead, 2464 days
2414.3
DO46518
62 years, female, NA, stage:III, alive, 2960 days
2403.3
DO46398
66 years, female, NA, stage:III, alive, 437 days
2388.6
DO46606
73 years, female, NA, stage:III, alive, 804 days
2262.9
DO46344
46 years, female, NA, stage:III, dead, 642 days
2223.8
DO46468
67 years, female, NA, stage:III, alive, 2776 days
2184.1
DO46340
62 years, female, NA, stage:III, dead, 616 days
2157.5
DO46358
60 years, female, NA, stage:III, dead, 423 days
2067.7
DO46396
64 years, female, NA, stage:III, dead, 583 days
1942.3
DO46588
74 years, female, NA, stage:III, dead, 438 days
1918.3
DO46332
56 years, female, NA, stage:III, dead, 689 days
1807.7
DO46329
52 years, female, NA, stage:III, dead, 1699 days
1760.8
DO46330
60 years, female, NA, stage:III, dead, 684 days
1675.5
DO46362
61 years, female, NA, stage:III, dead, 1639 days
1649.5
DO46382
62 years, female, NA, stage:IV, dead, 311 days
1649.4
DO46571
61 years, female, NA, stage:III, dead, 243 days
1547.6
DO46327
54 years, female, NA, stage:III, dead, 184 days
1212.7
DO46348
58 years, female, NA, stage:IV, dead, 287 days
1165.5
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
N/A
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
N/A
21efd60f-6a31-4b98-9477-16a905_D2
Normal
N/A
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
N/A
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
N/A
285fed94-1495-448e-879b-b55de9_D2
Tumor
N/A
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
N/A
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
N/A
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
N/A
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
N/A
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
N/A
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
N/A
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
N/A
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
N/A
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
N/A
2f901c90-617e-46da-9fac-d68369_D2
Tumor
N/A
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
N/A
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
N/A
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
N/A
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
N/A
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
N/A
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
N/A
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
N/A
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
N/A
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
N/A
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
N/A
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
N/A
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
N/A
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
N/A
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
N/A
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
N/A
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
N/A
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
N/A
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
N/A
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
N/A
1772e913-f62e-446a-8cf3-720348_D2
Tumor
N/A
e9d416e7-f661-400a-896e-388545_D2
Tumor
N/A
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
N/A
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
N/A
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
N/A
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
N/A
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
N/A
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
N/A
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
N/A
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
N/A
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
N/A
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
N/A
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
N/A
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
N/A
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
N/A
10c2d629-0287-4511-ac25-f29031_D2
Tumor
N/A
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
N/A
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
N/A
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
N/A
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
N/A
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
N/A
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
N/A
340a3769-3031-41ae-bb08-a2f696_D2
Normal
N/A
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
N/A
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
N/A
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
N/A
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
N/A
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
N/A
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
N/A
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
N/A
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
N/A
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
N/A
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
N/A
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
N/A
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
N/A
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
N/A
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
N/A
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
N/A
15524912-685a-47ce-a824-567848_D2
Tumor
N/A
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
N/A
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
N/A
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
N/A
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
N/A
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
N/A
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
N/A
a3a26070-fb84-406a-8280-d555e6_D2
Normal
N/A
161317f3-1a39-438e-af45-cd2502_D2
Tumor
N/A
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
N/A
1db5574d-aca7-403c-8100-6e705f_D2
Normal
N/A
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
N/A
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
N/A
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
N/A
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
N/A
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
N/A
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
N/A
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
N/A
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
N/A
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
N/A
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
N/A
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
N/A
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
N/A
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
N/A
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
N/A
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
N/A
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
N/A
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
N/A
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
N/A
a65d8e76-640f-4341-a561-afbb57_D2
Normal
N/A
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
N/A
1a10c200-3895-4648-b951-94f99f_D2
Tumor
N/A
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
N/A
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
N/A
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
N/A
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
