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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.
RPL38 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
2784.9
Number of samples
349
Samples
Sample
Description
TPM
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
9731.6
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
8106.5
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
7096.1
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
6879.6
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
6736.5
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
6538.8
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
6284.9
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
6033.4
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
5951.3
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
5934.5
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
5859.4
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
5828.6
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
5809.9
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
5777.8
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
5769.2
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
5734.8
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
5588.4
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
5549.8
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
5242.0
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
5228.2
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
5216.2
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
5142.8
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
5134.3
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
5102.9
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
5056.1
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
5024.4
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
5003.9
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
4909.4
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
4901.4
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
4893.0
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
4843.0
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
4821.9
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
4762.5
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
4720.9
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
4719.8
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
4690.5
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
4688.9
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
4664.8
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
4526.8
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
4519.9
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
4518.0
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
4513.2
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
4461.9
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
4419.3
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
4381.7
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
4352.5
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
4340.4
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
4321.0
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
4269.5
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
4267.4
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
4217.9
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
4207.0
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
4201.9
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
4163.5
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
4139.7
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
4127.2
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
4081.0
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
4051.7
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
4012.9
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
3993.1
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
3952.9
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
3947.2
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
3916.1
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
3915.6
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
3898.8
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
3885.3
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
3873.3
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
3863.6
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
3835.1
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
3822.0
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
3789.5
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
3739.9
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
3734.9
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
3727.0
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
3651.2
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
3648.9
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
3646.5
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
3645.6
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
3643.6
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
3642.0
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
3631.2
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
3628.0
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
3584.2
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
3570.6
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
3570.5
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
3527.4
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
3512.5
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
3509.3
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
3496.7
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
3434.4
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
3409.4
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
3381.0
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
3376.0
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
3356.7
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
3353.8
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
3353.6
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
3352.0
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
3343.6
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
3342.3
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
3334.7
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
3333.8
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
3328.3
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
3324.4
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
3315.5
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
3301.8
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
3277.5
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
3271.3
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
3260.7
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
3245.7
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
3146.7
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
3127.6
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
3126.7
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
3114.9
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
3104.4
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
3094.9
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
3075.2
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
3071.5
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
3053.0
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
3050.6
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
3024.0
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
3011.6
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
3009.9
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
3006.3
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
2982.1
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
2950.6
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
2945.3
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
2935.5
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
2890.6
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
2881.5
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
2879.7
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
2870.6
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
2867.9
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
2862.7
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
2859.4
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
2847.4
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
2830.8
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
2805.8
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
2792.8
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
2790.3
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
2774.7
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
2769.6
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
2767.2
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
2744.8
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
2735.9
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
2719.6
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
2711.5
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
2710.7
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
2709.3
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
2699.7
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
2691.4
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
2690.4
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
2686.3
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
2682.9
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
2676.5
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
2667.7
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
2658.7
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
2652.8
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
2644.6
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
2581.6
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
2575.6
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
2568.3
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
2562.2
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
2556.9
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
2545.0
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
2541.9
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
2538.7
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
2525.9
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
2520.1
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
2513.2
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
2511.7
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
2501.5
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
2498.6
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
2484.2
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
2476.6
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
2471.5
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
2467.6
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
2449.5
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
2443.0
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
2441.5
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
2439.6
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
2438.7
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
2434.5
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
2418.2
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
2414.8
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
2414.6
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
2406.3
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
2397.3
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
2386.2
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
2380.5
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
2376.0
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
2374.9
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
2356.7
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
2345.0
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
2334.6
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
2327.5
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
2327.3
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
2318.4
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
2304.6
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
2300.4
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
2295.3
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
2294.5
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
2284.6
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
2282.6
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
2270.9
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
2254.8
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
2214.7
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
2189.8
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
2181.8
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
2175.7
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
2174.3
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
2169.0
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
2153.5
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
2153.3
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
2152.4
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
2133.2
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
2131.1
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
2126.6
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
2115.5
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
2115.3
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
2087.1
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
2082.7
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
2076.7
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
2062.0
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
2061.6
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
2044.6
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
2040.4
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
2029.9
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
2025.5
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
2022.7
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
2016.1
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
2013.2
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
2000.6
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
1995.4
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
1990.6
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
1980.9
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
1953.1
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
1952.3
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
1948.0
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
1928.5
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
1919.3
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
1908.6
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
1905.4
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
1904.4
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
1881.6
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
1873.2
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
1864.3
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
1844.7
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
1843.9
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
1837.6
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
1836.4
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
1830.7
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
1802.8
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
1797.0
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
1793.7
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
1792.1
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
1786.0
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
1762.4
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
1759.2
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
1755.4
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
1741.8
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
1738.6
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
1714.4
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
1708.0
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
1695.5
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
1686.0
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
1684.7
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
1678.5
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
1675.7
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
1659.9
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
1650.7
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
1646.2
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
1642.4
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
1639.0
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
1633.6
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
1629.8
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
1623.3
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
1620.8
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
1617.5
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
1607.7
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
1603.9
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
1595.0
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
1586.4
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
1584.9
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
1580.1
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
1576.2
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
1566.2
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
1563.5
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
1561.4
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
1560.8
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
1547.8
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
1541.0
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
1538.6
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
1536.6
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
1531.8
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
1528.6
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
1523.0
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
1509.7
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
1508.3
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
1503.6
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
1500.3
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
1479.1
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
1475.8
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
1472.4
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
1471.8
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
1465.4
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
1463.3
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
1447.6
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
1447.0
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
1431.6
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
1430.9
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
1423.6
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
1421.2
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
1418.8
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
1410.1
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
1393.9
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
1392.2
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
1370.9
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
1368.8
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
1353.6
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
1351.3
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
1349.6
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
1340.4
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
1319.6
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
1317.0
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
1309.6
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
1306.2
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
1296.8
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
1289.4
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
1276.3
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
1251.0
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
1242.5
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
1234.7
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
1216.3
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
1211.9
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
1194.7
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
1194.7
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
1144.5
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
1144.4
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
1132.5
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
1128.5
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
1106.8
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
1095.7
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
1064.9
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
1032.5
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
1024.9
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
889.4
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
877.0
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
763.4
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 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.
RPL38 is potential prognostic, high expression is favorable 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
1527.2
Number of samples
81
Samples
Sample
Description
TPM
DO46366
65 years, female, NA, stage:III, dead, 2054 days
7925.9
DO46576
75 years, female, NA, stage:III, alive, 133 days
4918.3
DO46356
68 years, female, NA, stage:III, dead, 911 days
3530.4
DO46591
58 years, female, NA, stage:III, dead, 195 days
3429.3
DO46390
65 years, female, NA, stage:III, dead, 374 days
3409.6
DO46586
55 years, female, NA, stage:III, dead, 1019 days
3306.9
DO46453
66 years, female, NA, stage:III, dead, 3294 days
3082.0
DO46380
51 years, female, NA, stage:III, dead, 1423 days
3002.2
DO46463
49 years, female, NA, stage:III, dead, 2451 days
2776.7
DO46342
67 years, female, NA, stage:III, dead, 1398 days
2722.1
DO46333
58 years, female, NA, stage:III, dead, 359 days
2665.4
DO46611
52 years, female, NA, stage:III, dead, 734 days
2537.7
DO46551
58 years, female, NA, stage:III, dead, 1055 days
2444.1
DO46581
66 years, female, NA, stage:III, dead, 408 days
2401.5
DO46331
72 years, female, NA, stage:III, dead, 612 days
2262.9
DO46412
64 years, female, NA, stage:III, dead, 597 days
2145.1
DO46561
52 years, female, NA, stage:III, dead, 195 days
1903.9
DO46370
54 years, female, NA, stage:III, dead, 1727 days
1888.5
DO46493
62 years, female, NA, stage:IV, alive, 839 days
1881.7
DO46443
59 years, female, NA, stage:III, dead, 2464 days
1865.3
DO46568
66 years, female, NA, stage:III, dead, 320 days
1858.0
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
1796.4
DO46546
73 years, female, NA, stage:III, dead, 1889 days
1780.3
DO46538
57 years, female, NA, stage:III, dead, 1527 days
1723.1
DO46392
48 years, female, NA, stage:III, dead, 628 days
1685.4
DO46368
57 years, female, NA, stage:III, dead, 2879 days
1613.1
DO46384
55 years, female, NA, stage:III, dead, 614 days
1507.4
DO46402
77 years, female, NA, stage:III, dead, 511 days
1481.1
DO46528
56 years, female, NA, stage:III, alive, 6139 days
1459.7
DO46408
56 years, female, NA, stage:III, dead, 489 days
1458.2
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
1434.7
DO46334
77 years, female, NA, stage:III, dead, 496 days
1414.0
DO46432
56 years, female, NA, stage:III, alive, 2218 days
1391.8
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
1366.1
DO46518
62 years, female, NA, stage:III, alive, 2960 days
1347.9
DO46588
74 years, female, NA, stage:III, dead, 438 days
1336.5
DO46352
60 years, female, NA, stage:III, dead, 677 days
1291.2
DO46364
45 years, female, NA, stage:III, dead, 806 days
1254.5
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
1247.3
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
1243.7
DO46372
39 years, female, NA, stage:III, dead, 1326 days
1218.6
DO46376
58 years, female, NA, stage:III, dead, 1430 days
1177.3
DO46386
49 years, female, NA, stage:III, dead, 1162 days
1147.3
DO46328
52 years, female, NA, stage:III, dead, 972 days
1100.3
DO46330
60 years, female, NA, stage:III, dead, 684 days
1099.9
DO46378
59 years, female, NA, stage:III, alive, 843 days
1088.5
DO46340
62 years, female, NA, stage:III, dead, 616 days
1056.5
DO46350
66 years, female, NA, stage:III, dead, 886 days
1051.2
DO46533
46 years, female, NA, stage:III, alive, 3667 days
1008.1
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
981.7
DO46468
67 years, female, NA, stage:III, alive, 2776 days
964.7
DO46388
74 years, female, NA, stage:III, dead, 413 days
963.9
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
950.4
DO46325
54 years, female, NA, stage:III, dead, 477 days
918.4
DO46329
52 years, female, NA, stage:III, dead, 1699 days
915.3
DO46398
66 years, female, NA, stage:III, alive, 437 days
897.0
DO46326
51 years, female, NA, stage:III, dead, 701 days
886.7
DO46338
59 years, female, NA, stage:III, dead, 596 days
880.3
DO46436
58 years, female, NA, stage:III, alive, 3193 days
876.2
DO46358
60 years, female, NA, stage:III, dead, 423 days
875.0
DO46448
45 years, female, NA, stage:III, dead, 654 days
850.4
DO46332
56 years, female, NA, stage:III, dead, 689 days
847.6
DO46597
60 years, female, NA, stage:III, dead, 393 days
810.1
DO46571
61 years, female, NA, stage:III, dead, 243 days
794.1
DO46404
55 years, female, NA, stage:III, dead, 690 days
783.8
DO46602
74 years, female, NA, stage:III, dead, 205 days
754.7
DO46560
45 years, female, NA, stage:IV, dead, 286 days
719.1
DO46336
70 years, female, NA, stage:IV, dead, 664 days
713.4
DO46374
69 years, female, NA, stage:III, dead, 1409 days
659.3
DO46362
61 years, female, NA, stage:III, dead, 1639 days
643.5
DO46508
50 years, female, NA, stage:III, dead, 2101 days
629.9
DO46348
58 years, female, NA, stage:IV, dead, 287 days
628.1
DO46346
54 years, female, NA, stage:III, dead, 1187 days
618.6
DO46354
73 years, female, NA, stage:III, dead, 843 days
595.9
DO46400
70 years, female, NA, stage:III, dead, 719 days
593.4
DO46606
73 years, female, NA, stage:III, alive, 804 days
588.4
DO46566
78 years, female, NA, stage:III, dead, 673 days
579.7
DO46344
46 years, female, NA, stage:III, dead, 642 days
565.2
DO46327
54 years, female, NA, stage:III, dead, 184 days
555.7
DO46396
64 years, female, NA, stage:III, dead, 583 days
545.6
DO46382
62 years, female, NA, stage:IV, dead, 311 days
381.6
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
3.0
161317f3-1a39-438e-af45-cd2502_D2
Tumor
3.0
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
2.8
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
2.4
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
1.8
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
1.7
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
1.7
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
1.7
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
1.4
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
1.4
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
1.3
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
1.2
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
1.1
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
1.1
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
0.9
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
0.9
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
0.8
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
0.7
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
0.6
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
0.5
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
0.4
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
0.3
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
0.3
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
0.1
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
0.1
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
-0.1
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
-0.1
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
-0.1
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
-0.1
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
-0.2
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
-0.2
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
-0.2
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
-0.3
a3a26070-fb84-406a-8280-d555e6_D2
Normal
-0.3
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
-0.4
e9d416e7-f661-400a-896e-388545_D2
Tumor
-0.4
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
-0.5
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
-0.5
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
-0.6
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
-0.6
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
-0.8
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
-0.8
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
-0.9
285fed94-1495-448e-879b-b55de9_D2
Tumor
-0.9
15524912-685a-47ce-a824-567848_D2
Tumor
-0.9
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
-0.9
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
-1.0
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
-1.0
10c2d629-0287-4511-ac25-f29031_D2
Tumor
-1.0
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
-1.0
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
-1.0
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
-1.1
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
-1.1
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
-1.1
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
-1.1
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
-1.1
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
-1.2
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
-1.2
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
-1.3
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
-1.3
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
-1.3
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
-1.3
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
-1.4
2f901c90-617e-46da-9fac-d68369_D2
Tumor
-1.4
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
-1.4
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
-1.4
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
-1.4
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
-1.4
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
-1.4
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
-1.4
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
-1.5
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
-1.5
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
-1.6
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-1.6
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
-1.6
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
-1.6
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
-1.7
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
-1.7
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
-1.7
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
-1.8
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-1.8
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
-1.8
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
-1.9
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
-1.9
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
-2.0
1772e913-f62e-446a-8cf3-720348_D2
Tumor
-2.0
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
-2.1
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
-2.1
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-2.2
1db5574d-aca7-403c-8100-6e705f_D2
Normal
-2.2
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
-2.2
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
-2.3
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
-2.3
340a3769-3031-41ae-bb08-a2f696_D2
Normal
-2.3
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
-2.3
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
-2.4
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
-2.5
a65d8e76-640f-4341-a561-afbb57_D2
Normal
-2.6
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
-2.6
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
-2.7
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
-2.8
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
-2.9
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
-3.0
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
-3.1
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
-3.2
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
-3.3
1a10c200-3895-4648-b951-94f99f_D2
Tumor
-3.6
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
-3.7
Show allShow less
OVARIAN CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
