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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 pTPM
3461.5
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
11769.7
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
9922.2
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
8869.7
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
8615.9
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
8462.8
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
7969.2
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
7936.6
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
7693.9
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
7660.6
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
7335.6
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
7247.8
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
7241.9
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
7179.5
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
7165.9
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
7154.7
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
6934.8
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
6892.8
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
6744.0
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
6671.6
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
6659.3
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
6418.2
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
6386.9
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
6314.9
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
6287.2
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
6213.2
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
6200.5
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
6070.1
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
6063.8
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
6035.8
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
5922.1
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
5915.0
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
5886.0
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
5885.0
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
5838.3
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
5836.1
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
5799.4
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
5759.7
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
5663.5
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
5619.5
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
5618.9
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
5596.5
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
5570.6
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
5561.5
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
5550.2
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
5529.3
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
5394.0
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
5387.7
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
5363.1
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
5292.4
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
5253.4
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
5249.2
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
5202.1
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
5194.1
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
5190.6
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
5114.5
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
5111.3
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
5110.2
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
5069.1
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
5037.0
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
5006.0
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
4924.8
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
4921.9
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
4906.6
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
4905.6
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
4888.4
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
4814.9
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
4789.9
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
4769.8
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
4751.7
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
4733.8
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
4728.4
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
4717.9
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
4712.7
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
4695.8
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
4659.2
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
4651.9
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
4624.0
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
4575.2
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
4572.1
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
4560.2
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
4535.8
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
4534.9
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
4440.6
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
4436.2
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
4390.5
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
4371.5
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
4359.3
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
4339.5
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
4303.7
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
4286.7
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
4285.0
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
4279.0
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
4195.7
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
4186.9
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
4161.8
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
4139.6
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
4136.2
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
4110.0
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
4094.9
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
4080.6
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
4047.7
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
4046.5
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
4041.6
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
4010.5
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
4008.8
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
4003.8
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
3987.6
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
3987.4
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
3983.1
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
3963.9
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
3947.3
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
3942.4
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
3918.9
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
3895.6
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
3894.4
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
3848.0
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
3846.7
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
3845.3
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
3818.0
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
3815.7
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
3787.1
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
3781.0
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
3747.1
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
3718.8
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
3686.3
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
3667.3
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
3654.8
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
3647.4
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
3646.5
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
3625.2
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
3623.3
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
3618.6
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
3599.1
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
3570.0
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
3567.9
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
3536.6
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
3533.4
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
3523.8
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
3507.5
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
3498.1
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
3490.1
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
3469.2
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
3455.8
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
3430.7
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
3426.8
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
3396.1
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
3385.8
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
3365.2
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
3355.3
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
3352.0
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
3343.4
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
3338.1
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
3325.4
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
3313.9
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
3310.8
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
3308.8
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
3299.6
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
3276.3
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
3261.3
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
3247.6
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
3245.9
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
3229.5
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
3229.2
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
3202.1
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
3188.9
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
3187.2
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
3182.7
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
3124.4
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
3122.0
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
3092.3
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
3081.8
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
3078.3
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
3075.5
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
3063.5
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
3062.8
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
3061.1
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
3046.9
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
3036.2
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
3032.0
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
3025.5
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
3023.4
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
3016.8
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
3014.0
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
3013.9
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
2997.4
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
2985.3
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
2962.9
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
2961.5
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
2961.1
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
2932.1
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
2925.5
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
2908.4
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
2907.4
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
2905.9
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
2904.8
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
2898.3
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
2878.7
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
2868.3
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
2853.2
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
2808.3
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
2798.6
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
2792.5
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
2791.2
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
2782.3
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
2780.1
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
2767.7
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
2762.7
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
2749.3
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
2747.0
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
2728.3
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
2721.4
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
2711.6
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
2687.5
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
2687.5
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
2678.1
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
2637.8
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
2628.7
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
2603.7
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
2600.4
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
2590.7
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
2546.5
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
2532.6
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
2504.4
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
2493.2
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
2481.0
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
2472.5
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
2462.1
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
2448.9
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
2447.0
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
2435.1
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
2423.4
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
2414.8
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
2405.2
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
2395.5
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
2386.5
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
2377.7
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
2371.1
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
2364.7
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
2359.7
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
2353.9
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
2328.8
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
2314.0
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
2312.2
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
2309.4
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
2302.3
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
2294.5
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
2288.7
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
2285.0
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
2281.2
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
2279.8
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
2270.8
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
2242.8
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
2234.9
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
2230.7
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
2221.5
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
2203.5
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
2195.5
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
2184.5
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
2181.3
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
2178.5
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
2171.2
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
2157.4
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
2153.9
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
2146.6
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
2123.1
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
2109.2
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
2093.3
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
2090.5
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
2086.5
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
2066.4
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
2065.7
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
2059.1
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
2052.7
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
2048.8
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
2047.5
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
2026.7
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
2021.3
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
2015.6
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
2011.3
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
2006.5
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
2005.4
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
1999.0
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
1982.4
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
1977.5
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
1969.5
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
1967.1
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
1965.2
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
1963.4
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
1959.8
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
1955.6
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
1953.1
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
1935.7
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
1927.2
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
1920.2
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
1907.6
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
1904.3
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
1902.0
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
1890.2
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
1881.8
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
1875.1
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
1873.9
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
1872.7
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
1860.1
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
1858.5
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
1842.9
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
1834.0
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
1813.8
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
1802.8
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
1802.8
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
1792.3
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
1790.2
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
1780.1
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
1754.8
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
1751.5
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
1746.1
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
1729.6
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
1727.4
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
1722.8
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
1715.6
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
1702.0
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
1672.7
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
1672.4
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
1658.6
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
1644.2
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
1639.6
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
1637.8
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
1626.7
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
1621.7
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
1618.9
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
1582.3
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
1578.4
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
1570.4
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
1563.2
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
1521.8
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
1484.4
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
1475.6
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
1471.4
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
1442.8
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
1415.2
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
1414.3
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
1396.6
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
1379.2
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
1275.9
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
1261.0
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
1223.1
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
1102.9
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
1094.1
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
1069.0
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 not prognostic in Ovary Serous Cystadenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
1516.4
Number of samples
81
Samples
Sample
Description
pTPM
DO46366
65 years, female, NA, stage:III, dead, 2054 days
5142.6
DO46576
75 years, female, NA, stage:III, alive, 133 days
4005.0
DO46586
55 years, female, NA, stage:III, dead, 1019 days
3887.5
DO46390
65 years, female, NA, stage:III, dead, 374 days
3656.3
DO46356
68 years, female, NA, stage:III, dead, 911 days
3496.3
DO46463
49 years, female, NA, stage:III, dead, 2451 days
3191.9
DO46611
52 years, female, NA, stage:III, dead, 734 days
2951.9
DO46591
58 years, female, NA, stage:III, dead, 195 days
2830.8
DO46551
58 years, female, NA, stage:III, dead, 1055 days
2644.7
DO46453
66 years, female, NA, stage:III, dead, 3294 days
2496.3
DO46333
58 years, female, NA, stage:III, dead, 359 days
2406.0
DO46581
66 years, female, NA, stage:III, dead, 408 days
2402.0
DO46561
52 years, female, NA, stage:III, dead, 195 days
2317.2
DO46568
66 years, female, NA, stage:III, dead, 320 days
2254.2
DO46380
51 years, female, NA, stage:III, dead, 1423 days
2249.8
DO46370
54 years, female, NA, stage:III, dead, 1727 days
2215.3
DO46443
59 years, female, NA, stage:III, dead, 2464 days
2202.1
DO46331
72 years, female, NA, stage:III, dead, 612 days
2084.7
DO46538
57 years, female, NA, stage:III, dead, 1527 days
2058.9
DO46342
67 years, female, NA, stage:III, dead, 1398 days
2055.9
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
2027.2
DO46588
74 years, female, NA, stage:III, dead, 438 days
1863.3
DO46408
56 years, female, NA, stage:III, dead, 489 days
1796.0
DO46392
48 years, female, NA, stage:III, dead, 628 days
1652.3
DO46546
73 years, female, NA, stage:III, dead, 1889 days
1650.2
DO46384
55 years, female, NA, stage:III, dead, 614 days
1637.2
DO46518
62 years, female, NA, stage:III, alive, 2960 days
1597.2
DO46493
62 years, female, NA, stage:IV, alive, 839 days
1591.8
DO46334
77 years, female, NA, stage:III, dead, 496 days
1563.5
DO46412
64 years, female, NA, stage:III, dead, 597 days
1561.7
DO46528
56 years, female, NA, stage:III, alive, 6139 days
1473.0
DO46533
46 years, female, NA, stage:III, alive, 3667 days
1428.3
DO46328
52 years, female, NA, stage:III, dead, 972 days
1414.9
DO46364
45 years, female, NA, stage:III, dead, 806 days
1395.9
DO46368
57 years, female, NA, stage:III, dead, 2879 days
1383.0
DO46330
60 years, female, NA, stage:III, dead, 684 days
1383.0
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
1371.0
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
1363.8
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
1336.9
DO46402
77 years, female, NA, stage:III, dead, 511 days
1327.3
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
1315.1
DO46376
58 years, female, NA, stage:III, dead, 1430 days
1207.3
DO46340
62 years, female, NA, stage:III, dead, 616 days
1186.5
DO46378
59 years, female, NA, stage:III, alive, 843 days
1130.7
DO46338
59 years, female, NA, stage:III, dead, 596 days
1129.4
DO46326
51 years, female, NA, stage:III, dead, 701 days
1127.0
DO46432
56 years, female, NA, stage:III, alive, 2218 days
1088.7
DO46404
55 years, female, NA, stage:III, dead, 690 days
1017.6
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
1014.4
DO46352
60 years, female, NA, stage:III, dead, 677 days
1006.6
DO46386
49 years, female, NA, stage:III, dead, 1162 days
998.5
DO46329
52 years, female, NA, stage:III, dead, 1699 days
987.9
DO46388
74 years, female, NA, stage:III, dead, 413 days
952.4
DO46597
60 years, female, NA, stage:III, dead, 393 days
952.1
DO46372
39 years, female, NA, stage:III, dead, 1326 days
937.8
DO46325
54 years, female, NA, stage:III, dead, 477 days
915.9
DO46468
67 years, female, NA, stage:III, alive, 2776 days
908.7
DO46362
61 years, female, NA, stage:III, dead, 1639 days
907.4
DO46448
45 years, female, NA, stage:III, dead, 654 days
888.0
DO46332
56 years, female, NA, stage:III, dead, 689 days
884.0
DO46398
66 years, female, NA, stage:III, alive, 437 days
820.4
DO46358
60 years, female, NA, stage:III, dead, 423 days
820.0
DO46571
61 years, female, NA, stage:III, dead, 243 days
809.4
DO46348
58 years, female, NA, stage:IV, dead, 287 days
798.3
DO46560
45 years, female, NA, stage:IV, dead, 286 days
781.8
DO46508
50 years, female, NA, stage:III, dead, 2101 days
780.4
DO46350
66 years, female, NA, stage:III, dead, 886 days
774.4
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
774.2
DO46346
54 years, female, NA, stage:III, dead, 1187 days
756.4
DO46606
73 years, female, NA, stage:III, alive, 804 days
752.0
DO46436
58 years, female, NA, stage:III, alive, 3193 days
733.2
DO46566
78 years, female, NA, stage:III, dead, 673 days
705.0
DO46336
70 years, female, NA, stage:IV, dead, 664 days
702.3
DO46602
74 years, female, NA, stage:III, dead, 205 days
683.9
DO46400
70 years, female, NA, stage:III, dead, 719 days
666.4
DO46354
73 years, female, NA, stage:III, dead, 843 days
665.8
DO46327
54 years, female, NA, stage:III, dead, 184 days
662.9
DO46344
46 years, female, NA, stage:III, dead, 642 days
630.6
DO46396
64 years, female, NA, stage:III, dead, 583 days
568.6
DO46374
69 years, female, NA, stage:III, dead, 1409 days
520.0
DO46382
62 years, female, NA, stage:IV, dead, 311 days
500.0
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
