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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.
MRPL37 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
92.5
Number of samples
349
Samples
Sample
Description
TPM
TCGA-61-2092-01A
0 years, female, white, stage:Stage IIIC, alive, 1573 days
304.3
TCGA-25-1623-01A
0 years, female, white, stage:Stage IV, dead, 565 days
294.1
TCGA-24-2290-01A
0 years, female, white, stage:Stage IIIC, dead, 1102 days
237.7
TCGA-36-1577-01A
0 years, female, asian, stage:Stage IIC, alive, 783 days
230.8
TCGA-23-1809-01A
0 years, female, white, stage:Stage IIC, alive, 16 days
228.6
TCGA-30-1860-01A
0 years, female, white, stage:Stage IIIC, dead, 1366 days
217.1
TCGA-24-1435-01A
0 years, female, white, stage:Stage IIIC, dead, 1324 days
196.6
TCGA-61-2111-01A
0 years, female, white, stage:Stage IV, alive, 3825 days
194.6
TCGA-24-1474-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 676 days
192.4
TCGA-61-1737-01A
0 years, female, white, stage:Stage IV, alive, 1364 days
185.8
TCGA-23-2084-01A
0 years, female, white, stage:Stage IV, dead, 1516 days
181.4
TCGA-23-1027-01A
0 years, female, white, stage:Stage IIIC, dead, 976 days
178.1
TCGA-57-1584-01A
0 years, female, white, stage:Stage IIIC, alive, 643 days
171.1
TCGA-13-1510-01A
0 years, female, white, stage:Stage IIIC, dead, 1359 days
169.3
TCGA-13-0797-01A
0 years, female, white, stage:Stage IIIC, alive, 2121 days
167.7
TCGA-61-2102-01A
0 years, female, white, stage:Stage IIIC, dead, 197 days
167.2
TCGA-29-1762-01A
0 years, female, white, stage:Stage IV, dead, 2634 days
165.9
TCGA-24-1924-01A
0 years, female, white, stage:Stage IIIC, dead, 919 days
162.4
TCGA-09-2051-01A
0 years, female, white, stage:Stage IIIC, alive, 1919 days
162.1
TCGA-59-2350-01A
0 years, female, stage:Stage IV, dead, 679 days
160.6
TCGA-61-1900-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 176 days
156.0
TCGA-24-1549-01A
0 years, female, white, stage:Stage IIIB, dead, 1721 days
155.5
TCGA-13-0897-01A
0 years, female, white, stage:Stage IIIC, dead, 2182 days
153.6
TCGA-13-0916-01A
0 years, female, white, stage:Stage IIIC, alive, 1785 days
153.5
TCGA-61-2109-01A
0 years, female, white, stage:Stage IIIC, dead, 629 days
153.0
TCGA-61-1918-01A
0 years, female, white, stage:Stage IV, dead, 479 days
152.2
TCGA-24-1567-01A
0 years, female, white, stage:Stage IIIB, dead, 524 days
149.7
TCGA-23-1024-01A
0 years, female, white, stage:Stage IV, alive, 468 days
149.1
TCGA-13-0924-01A
0 years, female, white, stage:Stage IV, alive, 2614 days
145.2
TCGA-29-1697-01A
0 years, female, white, stage:Stage IIIC, dead, 949 days
144.0
TCGA-61-1724-01A
0 years, female, white, stage:Stage IIIC, dead, 637 days
143.2
TCGA-24-1846-01A
0 years, female, stage:Stage IIIC, alive, 133 days
142.3
TCGA-20-0987-01A
0 years, female, white, stage:Stage IIIC, dead, 701 days
141.8
TCGA-04-1331-01A
0 years, female, white, stage:Stage IIIC, dead, 1336 days
139.7
TCGA-36-1574-01A
0 years, female, asian, stage:Stage IIIC, alive, 686 days
139.1
TCGA-23-1023-01A
0 years, female, white, stage:Stage IIIC, alive, 1233 days
138.2
TCGA-24-1560-01A
0 years, female, white, stage:Stage IIIC, dead, 1341 days
138.1
TCGA-29-1784-01A
0 years, female, white, stage:Stage IIIC, alive, 163 days
137.7
TCGA-31-1959-01A
0 years, female, white, stage:Stage IV, alive, 67 days
136.4
TCGA-29-1763-01A
0 years, female, black or african american, stage:Stage IIC, alive, 2032 days
134.9
TCGA-13-0887-01A
0 years, female, white, stage:Stage IIIC, dead, 2028 days
134.7
TCGA-25-1627-01A
0 years, female, white, stage:Stage IIIC, dead, 394 days
133.6
TCGA-24-1428-01A
0 years, female, white, stage:Stage IIIC, alive, 529 days
133.2
TCGA-09-1670-01A
0 years, female, white, stage:Stage IIIA, alive, 547 days
132.9
TCGA-24-2027-01A
0 years, female, white, stage:Stage IV, dead, 3337 days
130.5
TCGA-24-1616-01A
0 years, female, white, stage:Stage IIIC, dead, 1163 days
129.8
TCGA-24-1558-01A
0 years, female, white, stage:Stage IIIC, dead, 594 days
129.1
TCGA-61-1733-01A
0 years, female, white, stage:Stage IIIC, alive, 967 days
128.5
TCGA-29-1688-01A
0 years, female, white, stage:Stage IIIC, dead, 2400 days
128.2
TCGA-24-1417-01A
0 years, female, white, stage:Stage IV, alive, 238 days
128.0
TCGA-61-1995-01A
0 years, female, white, stage:Stage IIIC, alive, 61 days
126.7
TCGA-04-1365-01A
0 years, female, white, stage:Stage IIIB, alive, 947 days
125.8
TCGA-29-1770-01A
0 years, female, white, stage:Stage IIIC, alive, 741 days
125.1
TCGA-13-1498-01A
0 years, female, white, stage:Stage IIIC, dead, 2012 days
125.0
TCGA-24-1603-01A
0 years, female, white, stage:Stage IIIB, dead, 2742 days
124.8
TCGA-24-1557-01A
0 years, female, white, stage:Stage IIIC, dead, 1213 days
124.8
TCGA-61-2003-01A
0 years, female, white, stage:Stage IIIC, alive, 122 days
123.8
TCGA-57-1582-01A
0 years, female, white, stage:Stage IIIC, dead, 731 days
123.7
TCGA-29-1705-01A
0 years, female, white, stage:Stage IIIC, dead, 555 days
123.4
TCGA-25-1320-01A
0 years, female, white, stage:Stage IIIC, dead, 1155 days
121.5
TCGA-13-0906-01A
0 years, female, white, stage:Stage IIIC, alive, 3619 days
119.7
TCGA-25-1326-01A
0 years, female, white, stage:Stage IIIC, dead, 1249 days
118.5
TCGA-25-1323-01A
0 years, female, white, stage:Stage IIIC, dead, 395 days
117.9
TCGA-25-1635-01A
0 years, female, white, stage:Stage IIIC, dead, 1583 days
117.5
TCGA-13-0923-01A
0 years, female, white, stage:Stage IIIC, alive, 2547 days
116.4
TCGA-09-0366-01A
0 years, female, white, stage:Stage IIIC, dead, 1757 days
116.2
TCGA-13-1506-01A
0 years, female, white, stage:Stage IIIC, dead, 1039 days
115.7
TCGA-24-1551-01A
0 years, female, white, stage:Stage IIIC, dead, 1579 days
115.5
TCGA-25-2401-01A
0 years, female, white, stage:Stage IIIC, dead, 90 days
115.1
TCGA-13-0891-01A
0 years, female, white, stage:Stage IV, dead, 3128 days
114.6
TCGA-61-2000-01A
0 years, female, white, stage:Stage IIIC, alive, 441 days
114.4
TCGA-24-0979-01A
0 years, female, white, stage:Stage IV, dead, 1264 days
114.1
TCGA-13-0725-01A
0 years, female, white, stage:Stage IIIC, dead, 377 days
112.6
TCGA-24-2298-01A
0 years, female, white, stage:Stage IIIC, dead, 1620 days
111.9
TCGA-36-1570-01A
0 years, female, white, stage:Stage IIIC, alive, 655 days
111.3
TCGA-13-A5FT-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
111.1
TCGA-61-2113-01A
0 years, female, white, stage:Stage IIC, dead, 676 days
110.8
TCGA-24-1419-01A
0 years, female, white, stage:Stage IIIC, alive, 239 days
110.5
TCGA-13-0730-01A
0 years, female, white, stage:Stage IIIC, dead, 542 days
110.2
TCGA-24-2023-01A
0 years, female, white, stage:Stage IIIA, dead, 1364 days
109.4
TCGA-23-1110-01A
0 years, female, white, stage:Stage IIIC, alive, 1658 days
109.2
TCGA-13-1492-01A
0 years, female, white, stage:Stage IIIC, dead, 3819 days
108.8
TCGA-04-1343-01A
0 years, female, white, stage:Stage IV, dead, 361 days
108.7
TCGA-29-1694-01A
0 years, female, white, stage:Stage IIIC, dead, 1187 days
108.7
TCGA-29-2425-01A
0 years, female, white, stage:Stage IIIC, alive, 1977 days
108.2
TCGA-61-2008-01A
0 years, female, asian, stage:Stage IIC, alive, 932 days
108.2
TCGA-61-1741-01A
0 years, female, white, stage:Stage IIIB, dead, 1024 days
107.8
TCGA-23-1123-01A
0 years, female, white, stage:Stage IIIC, dead, 1018 days
107.8
TCGA-23-2078-01A
0 years, female, white, stage:Stage IIIC, alive, 2661 days
107.7
TCGA-13-0920-01A
0 years, female, white, stage:Stage IIIC, dead, 1484 days
107.6
TCGA-24-1842-01A
0 years, female, white, stage:Stage IIIC, alive, 253 days
107.4
TCGA-24-1431-01A
0 years, female, white, stage:Stage IIIC, dead, 583 days
107.4
TCGA-31-1944-01A
0 years, female, white, stage:Stage IIIC, alive, 1386 days
107.2
TCGA-31-1953-01A
0 years, female, asian, stage:Stage IIIC, alive, 204 days
105.9
TCGA-25-1315-01A
0 years, female, white, stage:Stage IIIC, dead, 1583 days
105.9
TCGA-20-1682-01A
0 years, female, white, stage:Stage IIIC, alive, 837 days
105.5
TCGA-57-1993-01A
0 years, female, white, stage:Stage IIIC, alive, 763 days
105.2
TCGA-23-1113-01A
0 years, female, white, stage:Stage IV, dead, 949 days
105.2
TCGA-24-2280-01A
0 years, female, white, stage:Stage IIIC, alive, 2143 days
105.1
TCGA-24-1844-01A
0 years, female, white, stage:Stage IIIC, alive, 113 days
104.7
TCGA-29-1691-01A
0 years, female, white, stage:Stage IIIC, dead, 1470 days
104.6
TCGA-5X-AA5U-01A
0 years, female, black or african american, stage:Stage IIC, alive, 361 days
104.6
TCGA-61-2002-01A
0 years, female, white, stage:Stage IIIC, alive, 547 days
103.7
TCGA-13-1405-01A
0 years, female, white, stage:Stage IV, dead, 868 days
103.7
TCGA-61-1725-01A
0 years, female, white, stage:Stage IIIC, alive, 956 days
103.5
TCGA-25-2392-01A
0 years, female, white, stage:Stage IV, dead, 31 days
103.3
TCGA-24-1552-01A
0 years, female, white, stage:Stage IIIC, dead, 1259 days
103.2
TCGA-24-1104-01A
0 years, female, white, stage:Stage IV, dead, 1933 days
103.1
TCGA-13-1512-01A
0 years, female, white, stage:Stage IIIC, alive, 442 days
102.9
TCGA-29-1766-01A
0 years, female, white, stage:Stage IIIC, dead, 1199 days
102.4
TCGA-31-1946-01A
0 years, female, stage:Stage IIIC, alive, 918 days
102.3
TCGA-23-1107-01A
0 years, female, white, stage:Stage IV, dead, 9 days
101.9
TCGA-24-1422-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 23 days
101.8
TCGA-30-1718-01A
0 years, female, white, stage:Stage IIIC, dead, 1579 days
101.1
TCGA-24-1928-01A
0 years, female, white, stage:Stage IIIC, dead, 336 days
101.0
TCGA-61-1914-01A
0 years, female, stage:Stage IIIC, alive, 1722 days
100.4
TCGA-36-1571-01A
0 years, female, white, stage:Stage IIIB, dead, 695 days
100.3
TCGA-24-1562-01A
0 years, female, white, stage:Stage IIIC, dead, 1384 days
100.3
TCGA-29-1785-01A
0 years, female, white, stage:Stage IIIC, dead, 1104 days
100.1
TCGA-61-1910-01A
0 years, female, white, stage:Stage IIC, alive, 1127 days
100.0
TCGA-24-1471-01A
0 years, female, white, stage:Stage IIIC, alive, 36 days
99.8
TCGA-13-0911-01A
0 years, female, white, stage:Stage IV, dead, 1355 days
99.3
TCGA-24-2254-01A
0 years, female, white, stage:Stage IIIC, dead, 1736 days
99.2
TCGA-24-1418-01A
0 years, female, white, stage:Stage IIIC, alive, 243 days
99.1
TCGA-24-2036-01A
0 years, female, white, stage:Stage IIIA, dead, 1947 days
99.1
TCGA-61-1907-01A
0 years, female, white, stage:Stage IIIC, alive, 952 days
98.2
TCGA-09-1662-01A
0 years, female, white, stage:Stage IV, dead, 2717 days
98.2
TCGA-13-1410-01A
0 years, female, white, stage:Stage IV, alive, 2464 days
98.0
TCGA-25-1322-01A
0 years, female, white, stage:Stage IV, dead, 91 days
97.9
TCGA-25-1312-01A
0 years, female, white, stage:Stage IV, dead, 31 days
97.8
TCGA-29-1761-01A
0 years, female, asian, stage:Stage IIIC, dead, 528 days
97.5
TCGA-13-1404-01A
0 years, female, white, stage:Stage IIIC, alive, 2469 days
97.5
TCGA-29-1783-01A
0 years, female, white, stage:Stage IIIC, alive, 220 days
97.1
TCGA-13-0726-01A
0 years, female, white, stage:Stage IIIC, dead, 949 days
97.0
TCGA-13-1495-01A
0 years, female, white, stage:Stage IIIC, dead, 2749 days
96.7
TCGA-30-1891-01A
0 years, female, white, stage:Stage IIIC, dead, 914 days
96.6
TCGA-23-1118-01A
0 years, female, white, stage:Stage IIIC, alive, 2616 days
96.6
TCGA-24-2026-01A
0 years, female, white, stage:Stage IIIC, dead, 1059 days
96.5
TCGA-24-1604-01A
0 years, female, white, stage:Stage IIIC, dead, 2688 days
95.9
TCGA-25-2393-01A
0 years, female, white, stage:Stage IIIC, dead, 1157 days
95.7
TCGA-04-1361-01A
0 years, female, white, stage:Stage IIIB, alive, 989 days
95.5
TCGA-59-2354-01A
0 years, female, white, stage:Stage IIIC, dead, 1046 days
95.4
TCGA-30-1862-01A
0 years, female, white, stage:Stage IV, dead, 186 days
95.2
TCGA-31-1951-01A
0 years, female, white, stage:Stage IIIC, alive, 684 days
95.0
TCGA-24-1434-01A
0 years, female, white, stage:Stage IIIC, dead, 568 days
94.9
TCGA-24-1845-01A
0 years, female, white, stage:Stage IIIC, alive, 116 days
94.8
TCGA-61-1728-01A
0 years, female, white, stage:Stage IV, alive, 848 days
94.5
TCGA-25-1631-01A
0 years, female, white, stage:Stage IIIC, dead, 9 days
94.4
TCGA-10-0927-01A
0 years, female, stage:Stage IIIC, dead, 2490 days
94.4
TCGA-24-1544-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 820 days
94.3
TCGA-36-1568-01A
0 years, female, stage:Stage IIIC, alive, 875 days
93.5
TCGA-10-0937-01A
0 years, female, white, stage:Stage IIIC, dead, 608 days
93.4
TCGA-25-2404-01A
0 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
93.4
TCGA-24-1430-01A
0 years, female, white, stage:Stage IIIC, dead, 863 days
93.3
TCGA-61-2104-01A
0 years, female, white, stage:Stage IIC, alive, 2338 days
93.2
TCGA-24-1546-01A
0 years, female, white, stage:Stage IIIC, dead, 1955 days
92.6
TCGA-61-2097-01A
0 years, female, white, stage:Stage IIC, alive, 1844 days
92.4
TCGA-24-2288-01A
0 years, female, white, stage:Stage IIIC, dead, 25 days
92.2
TCGA-25-1632-01A
0 years, female, white, stage:Stage IV, dead, 1799 days
92.2
TCGA-29-1711-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
91.9
TCGA-24-1563-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
91.7
TCGA-25-1329-01A
0 years, female, white, stage:Stage IIIC, dead, 457 days
91.3
TCGA-59-2348-01A
0 years, female, white, stage:Stage IIIC, alive, 5481 days
91.3
TCGA-10-0931-01A
0 years, female, white, stage:Stage IIIC, dead, 1000 days
91.2
TCGA-09-1666-01A
0 years, female, white, stage:Stage IIIC, alive, 1752 days
91.2
TCGA-13-1497-01A
0 years, female, white, stage:Stage IIIC, alive, 3871 days
90.4
TCGA-25-2399-01A
0 years, female, white, stage:Stage IIIC, dead, 608 days
90.3
TCGA-57-1585-01A
0 years, female, white, stage:Stage IIIC, dead, 53 days
89.4
TCGA-30-1861-01A
0 years, female, white, stage:Stage IIIC, dead, 1058 days
89.1
TCGA-09-0367-01A
0 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
88.6
TCGA-04-1519-01A
0 years, female, stage:Stage IIIC, alive, 24 days
88.3
TCGA-24-1550-01A
0 years, female, white, stage:Stage IIIC, dead, 1249 days
87.8
TCGA-25-1319-01A
0 years, female, white, stage:Stage IIIC, dead, 1977 days
86.9
TCGA-29-1776-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 360 days
86.9
TCGA-04-1347-01A
0 years, female, white, stage:Stage IV, alive, 1919 days
86.7
TCGA-13-1483-01A
0 years, female, white, stage:Stage IIIC, dead, 895 days
86.7
TCGA-25-1313-01A
0 years, female, white, stage:Stage IV, dead, 820 days
86.5
TCGA-WR-A838-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 304 days
85.9
TCGA-04-1356-01A
0 years, female, white, stage:Stage IIC, dead, 1499 days
85.0
TCGA-VG-A8LO-01A
0 years, female, black or african american, stage:Stage IV, dead, 24 days
83.2
TCGA-61-2088-01A
0 years, female, white, stage:Stage IIIC, alive, 145 days
82.8
TCGA-24-1425-01A
0 years, female, white, stage:Stage IIIC, alive, 181 days
82.6
TCGA-24-2289-01A
0 years, female, white, stage:Stage IV, dead, 2049 days
82.6
TCGA-23-1109-01A
0 years, female, white, stage:Stage IIIC, dead, 1562 days
82.1
TCGA-09-2054-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 637 days
81.9
TCGA-25-2398-01A
0 years, female, white, stage:Stage IIIC, dead, 1369 days
81.8
TCGA-29-1693-01A
0 years, female, white, stage:Stage IIIC, alive, 3096 days
81.7
TCGA-25-1626-01A
0 years, female, white, stage:Stage IIIC, dead, 518 days
81.6
TCGA-25-2400-01A
0 years, female, white, stage:Stage IIIC, dead, 1278 days
81.4
TCGA-24-1847-01A
0 years, female, white, stage:Stage IV, alive, 343 days
81.2
TCGA-24-1843-01A
0 years, female, white, stage:Stage IIIC, alive, 106 days
81.1
TCGA-25-2409-01A
0 years, female, white, stage:Stage IV, dead, 821 days
81.1
TCGA-29-2428-01A
0 years, female, white, stage:Stage IIIC, alive, 1372 days
81.0
TCGA-24-2271-01A
0 years, female, asian, stage:Stage IIIC, dead, 962 days
80.8
TCGA-61-1919-01A
0 years, female, white, stage:Stage IIIC, dead, 1161 days
80.8
TCGA-24-1426-01A
0 years, female, white, stage:Stage IIIC, alive, 163 days
80.7
TCGA-24-0966-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 232 days
80.5
TCGA-24-2297-01A
0 years, female, white, stage:Stage IIIC, dead, 1699 days
80.4
TCGA-23-2077-01A
0 years, female, white, stage:Stage IIIC, alive, 3525 days
80.4
TCGA-09-0364-01A
0 years, female, white, stage:Stage IIC, dead, 887 days
80.4
TCGA-36-1576-01A
0 years, female, stage:Stage IIIC, alive, 915 days
80.1
TCGA-25-1630-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
80.0
TCGA-09-1669-01A
0 years, female, white, stage:Stage IIIA, alive, 928 days
79.7
TCGA-25-1628-01A
0 years, female, white, stage:Stage IIIC, dead, 627 days
79.5
TCGA-61-1738-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
79.0
TCGA-29-1778-01A
0 years, female, white, stage:Stage IIIC, alive, 454 days
78.5
TCGA-13-1511-01A
0 years, female, asian, stage:Stage IV, dead, 1650 days
78.5
TCGA-29-1695-01A
0 years, female, white, stage:Stage IIIC, dead, 1229 days
78.0
TCGA-36-1569-01A
0 years, female, white, stage:Stage IIIC, alive, 885 days
78.0
TCGA-59-A5PD-01A
0 years, female, black or african american, stage:Stage IC, dead, 624 days
77.9
TCGA-24-2020-01A
0 years, female, white, stage:Stage IIIC, dead, 4624 days
77.9
TCGA-24-2261-01A
0 years, female, white, stage:Stage IIIC, dead, 24 days
77.4
TCGA-13-0720-01A
0 years, female, white, stage:Stage IIIC, dead, 1355 days
77.3
TCGA-24-1416-01A
0 years, female, white, stage:Stage IV, alive, 194 days
77.3
TCGA-09-2048-01A
0 years, female, white, stage:Stage IIIC, dead, 138 days
77.2
TCGA-25-1634-01A
0 years, female, white, stage:Stage IIIC, dead, 1091 days
77.0
TCGA-23-1120-01A
0 years, female, white, stage:Stage IIIC, alive, 130 days
77.0
TCGA-23-1116-01A
0 years, female, white, stage:Stage IIIC, dead, 592 days
76.9
TCGA-24-2033-01A
0 years, female, white, stage:Stage IIIC, dead, 562 days
76.7
TCGA-23-1030-01A
0 years, female, white, stage:Stage IIIC, alive, 886 days
76.7
TCGA-29-1696-01A
0 years, female, white, stage:Stage IIIC, dead, 1032 days
76.5
TCGA-24-1469-01A
0 years, female, white, stage:Stage IIIC, alive, 277 days
76.4
TCGA-04-1648-01A
0 years, female, white, stage:Stage IIIC, dead, 871 days
75.9
TCGA-25-1321-01A
0 years, female, white, stage:Stage IIIC, dead, 1033 days
75.5
TCGA-04-1341-01A
0 years, female, white, stage:'--, alive, 33 days
75.2
TCGA-10-0938-01A
0 years, female, white, stage:Stage IIIC, dead, 636 days
75.2
TCGA-04-1362-01A
0 years, female, white, stage:Stage IIC, dead, 1348 days
75.1
TCGA-13-0804-01A
0 years, female, white, stage:Stage IIIC, dead, 1073 days
74.6
TCGA-57-1994-01A
0 years, female, white, stage:'--, alive, 761 days
74.4
TCGA-04-1536-01A
0 years, female, black or african american, stage:Stage IV, dead, 885 days
74.3
TCGA-09-0369-01A
0 years, female, white, stage:Stage IIIC, dead, 1082 days
74.1
TCGA-23-1111-01A
0 years, female, white, stage:Stage IIIC, alive, 98 days
72.8
TCGA-24-2293-01A
0 years, female, white, stage:'--, dead, 506 days
72.7
TCGA-61-2110-01A
0 years, female, white, stage:Stage IIIC, dead, 1354 days
72.6
TCGA-24-2267-01A
0 years, female, white, stage:Stage IIB, dead, 1446 days
72.6
TCGA-31-1950-01A
0 years, female, white, stage:Stage IIIC, alive, 571 days
72.3
TCGA-25-1318-01A
0 years, female, white, stage:Stage IIIC, dead, 1064 days
72.0
TCGA-24-2281-01A
0 years, female, white, stage:Stage IIA, alive, 1357 days
71.7
TCGA-25-1328-01A
0 years, female, white, stage:Stage IIIC, dead, 2009 days
71.7
TCGA-13-0800-01A
0 years, female, white, stage:Stage IIIC, alive, 2661 days
71.0
TCGA-61-1998-01A
0 years, female, white, stage:Stage IIIC, alive, 168 days
70.8
TCGA-13-1411-01A
0 years, female, white, stage:Stage IIIC, dead, 531 days
70.5
TCGA-29-1768-01A
0 years, female, white, stage:Stage IV, dead, 952 days
70.2
TCGA-24-1464-01A
0 years, female, white, stage:Stage IIIC, dead, 379 days
69.7
TCGA-13-1505-01A
0 years, female, white, stage:Stage IIIC, alive, 1998 days
69.6
TCGA-29-1781-01A
0 years, female, white, stage:Stage IIIC, alive, 255 days
69.5
TCGA-24-1850-01A
0 years, female, white, stage:Stage IIIC, alive, 168 days
69.4
TCGA-13-1509-01A
0 years, female, white, stage:Stage IV, alive, 2438 days
69.3
TCGA-13-0765-01A
0 years, female, white, stage:Stage IIIC, dead, 1389 days
69.2
TCGA-09-1673-01A
0 years, female, white, stage:Stage IV, alive, 92 days
69.2
TCGA-09-2045-01A
0 years, female, asian, stage:Stage IV, dead, 1069 days
69.1
TCGA-24-1427-01A
0 years, female, stage:Stage IIIC, alive, 147 days
69.0
TCGA-31-1956-01A
0 years, female, white, stage:Stage IIIB, alive, 1342 days
69.0
TCGA-24-1930-01A
0 years, female, white, stage:Stage IIIC, dead, 2467 days
68.9
TCGA-13-0766-01A
0 years, female, white, stage:Stage IIIC, dead, 1725 days
68.9
TCGA-10-0928-01A
0 years, female, white, stage:Stage IIIC, dead, 563 days
68.6
TCGA-04-1514-01A
0 years, female, white, stage:Stage IIIA, dead, 1720 days
68.6
TCGA-29-1703-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
68.5
TCGA-25-1633-01A
0 years, female, white, stage:Stage IIIC, dead, 1891 days
68.0
TCGA-36-1581-01A
0 years, female, white, stage:Stage IIC, alive, 751 days
67.8
TCGA-29-1774-01A
0 years, female, white, stage:Stage IIIC, alive, 527 days
67.7
TCGA-20-1687-01A
0 years, female, white, stage:Stage IV, alive, 81 days
67.7
TCGA-13-1487-01A
0 years, female, white, stage:Stage IV, dead, 681 days
67.6
TCGA-04-1364-01A
0 years, female, white, stage:Stage IIIC, dead, 1024 days
67.4
TCGA-30-1866-01A
0 years, female, white, stage:Stage IV, dead, 1114 days
67.4
TCGA-04-1530-01A
0 years, female, white, stage:Stage IIIC, dead, 3622 days
67.2
TCGA-29-1701-01A
0 years, female, white, stage:Stage IIIC, dead, 515 days
66.7
TCGA-36-1580-01A
0 years, female, stage:Stage IIIC, dead, 737 days
66.4
TCGA-25-2042-01A
0 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
66.4
TCGA-57-1586-01A
0 years, female, white, stage:Stage IIIC, alive, 679 days
66.4
TCGA-25-1870-01A
0 years, female, white, stage:Stage IIIC, dead, 455 days
66.2
TCGA-29-2427-01A
0 years, female, white, stage:Stage IIIC, alive, 1900 days
65.9
TCGA-29-1710-01A
0 years, female, white, stage:Stage IIIC, dead, 951 days
65.8
TCGA-24-1413-01A
0 years, female, white, stage:Stage IIIC, alive, 192 days
65.7
TCGA-61-2009-01A
0 years, female, white, stage:Stage IIIC, alive, 1212 days
65.7
TCGA-13-1403-01A
0 years, female, white, stage:Stage IIIC, dead, 2345 days
65.2
TCGA-20-1683-01A
0 years, female, white, stage:Stage IIIC, alive, 772 days
65.2
TCGA-13-2060-01A
0 years, female, white, stage:Stage IV, alive, 2369 days
64.9
TCGA-59-2355-01A
0 years, female, white, stage:Stage IV, dead, 65 days
64.5
TCGA-13-1488-01A
0 years, female, white, stage:Stage IV, dead, 2154 days
63.0
TCGA-OY-A56Q-01A
0 years, female, black or african american, stage:Stage IIA, alive, 576 days
62.9
TCGA-29-1777-01A
0 years, female, white, stage:Stage IIIC, alive, 374 days
62.5
TCGA-29-A5NZ-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
62.2
TCGA-23-1122-01A
0 years, female, white, stage:Stage IIIC, dead, 1189 days
62.2
TCGA-24-1424-01A
0 years, female, white, stage:Stage IIIC, alive, 183 days
62.1
TCGA-59-2352-01A
0 years, female, white, stage:Stage IIIC, dead, 286 days
61.5
TCGA-24-1565-01A
0 years, female, white, stage:Stage IIIC, dead, 312 days
61.5
TCGA-13-0886-01A
0 years, female, white, stage:Stage IIIC, alive, 4665 days
61.4
TCGA-13-1501-01A
0 years, female, white, stage:Stage IV, dead, 1314 days
60.1
TCGA-13-1489-01A
0 years, female, white, stage:Stage IIIC, dead, 2553 days
60.0
TCGA-24-1467-01A
0 years, female, white, stage:Stage IIIC, dead, 3224 days
59.7
TCGA-30-1892-01A
0 years, female, white, stage:Stage IIIC, dead, 1484 days
59.4
TCGA-13-1507-01A
0 years, female, white, stage:Stage IIIC, dead, 1993 days
58.8
TCGA-24-0968-01A
0 years, female, white, stage:Stage IIIC, dead, 598 days
58.1
TCGA-13-1407-01A
0 years, female, white, stage:Stage IIIC, alive, 2534 days
57.9
TCGA-13-0768-01A
0 years, female, white, stage:Stage IIIC, dead, 1784 days
57.3
TCGA-13-0724-01A
0 years, female, white, stage:Stage IV, dead, 83 days
57.3
TCGA-13-1408-01A
0 years, female, white, stage:Stage IIIC, dead, 1680 days
56.9
TCGA-61-2098-01A
0 years, female, white, stage:Stage IIIC, alive, 1993 days
56.7
TCGA-59-2363-01A
0 years, female, asian, stage:Stage IIIA, alive, 165 days
56.6
TCGA-25-2396-01A
0 years, female, white, stage:Stage IIIC, dead, 92 days
55.8
TCGA-13-0885-01A
0 years, female, white, stage:Stage IIIC, alive, 3388 days
55.7
TCGA-59-2351-01A
0 years, female, white, stage:Stage IIIC, alive, 3532 days
55.5
TCGA-23-1119-01A
0 years, female, white, stage:Stage IIIC, alive, 3953 days
55.4
TCGA-13-1485-01A
0 years, female, white, stage:Stage IV, dead, 629 days
55.0
TCGA-13-0762-01A
0 years, female, white, stage:Stage IIIC, alive, 3400 days
54.3
TCGA-25-1316-01A
0 years, female, white, stage:Stage IIIC, dead, 1279 days
54.2
TCGA-30-1857-01A
0 years, female, white, stage:Stage IV, dead, 8 days
53.3
TCGA-61-2012-01A
0 years, female, white, stage:Stage IIC, alive, 932 days
52.9
TCGA-20-0991-01A
0 years, female, white, stage:Stage IIB, alive, 797 days
52.7
TCGA-24-1553-01A
0 years, female, white, stage:Stage IIIB, dead, 1767 days
52.5
TCGA-57-1583-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 346 days
52.4
TCGA-29-2414-01A
0 years, female, white, stage:Stage IIIC, dead, 2621 days
52.4
TCGA-24-1105-01A
0 years, female, white, stage:Stage IIIC, dead, 1442 days
51.9
TCGA-13-0795-01A
0 years, female, white, stage:Stage IIIC, dead, 619 days
50.8
TCGA-13-0727-01A
0 years, female, white, stage:Stage IIIC, dead, 462 days
50.1
TCGA-04-1542-01A
0 years, female, white, stage:Stage IIIB, dead, 2561 days
49.8
TCGA-61-2101-01A
0 years, female, white, stage:Stage IIIC, dead, 1688 days
49.7
TCGA-29-1769-01A
0 years, female, white, stage:Stage IIIC, alive, 699 days
49.7
TCGA-61-1911-01A
0 years, female, white, stage:Stage IIA, alive, 1293 days
49.1
TCGA-24-1103-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
49.0
TCGA-13-0888-01A
0 years, female, white, stage:Stage IIIC, dead, 2811 days
48.4
TCGA-24-2035-01A
0 years, female, white, stage:Stage IIIC, dead, 857 days
48.0
TCGA-13-0883-01A
0 years, female, white, stage:Stage IIIC, dead, 2097 days
47.8
TCGA-24-1923-01A
0 years, female, white, stage:Stage IIIC, dead, 690 days
47.4
TCGA-04-1655-01A
0 years, female, white, stage:Stage IIIB, dead, 1380 days
45.8
TCGA-24-2024-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
45.6
TCGA-04-1651-01A
0 years, female, white, stage:Stage IIIC, dead, 1102 days
45.5
TCGA-13-1496-01A
0 years, female, white, stage:Stage IIIC, dead, 129 days
45.4
TCGA-10-0933-01A
0 years, female, white, stage:Stage IIIC, dead, 446 days
44.7
TCGA-29-1690-01A
0 years, female, white, stage:Stage IIIC, dead, 1448 days
43.6
TCGA-20-1686-01A
0 years, female, white, stage:Stage IIIC, alive, 89 days
42.1
TCGA-61-1721-01A
0 years, female, white, stage:Stage IV, alive, 338 days
41.5
TCGA-04-1338-01A
0 years, female, white, stage:Stage IIIC, alive, 1418 days
41.5
TCGA-24-2038-01A
0 years, female, white, stage:Stage IIIA, dead, 1354 days
41.4
TCGA-23-1028-01A
0 years, female, white, stage:Stage IIIC, alive, 1503 days
41.1
TCGA-24-0982-01A
0 years, female, white, stage:Stage IIIC, dead, 679 days
40.9
TCGA-25-1317-01A
0 years, female, white, stage:Stage IIIC, dead, 61 days
40.6
TCGA-04-1332-01A
0 years, female, white, stage:Stage IIIC, dead, 1247 days
40.1
TCGA-13-0714-01A
0 years, female, white, stage:Stage IV, dead, 189 days
40.0
TCGA-30-1714-01A
0 years, female, white, stage:Stage IV, dead, 1158 days
39.0
TCGA-13-1409-01A
0 years, female, white, stage:Stage IIIC, dead, 1742 days
37.7
TCGA-04-1350-01A
0 years, female, white, stage:Stage IIIC, dead, 1946 days
36.8
TCGA-24-1423-01A
0 years, female, white, stage:Stage IIIC, alive, 190 days
36.3
TCGA-30-1853-01A
0 years, female, white, stage:Stage IIIC, dead, 1103 days
33.8
TCGA-13-1499-01A
0 years, female, white, stage:Stage IIIC, alive, 3500 days
33.3
TCGA-25-1877-01A
0 years, female, white, stage:Stage IIIC, dead, 730 days
32.7
TCGA-23-1022-01A
0 years, female, white, stage:Stage IIIC, dead, 1511 days
27.5
TCGA-13-1477-01A
0 years, female, white, stage:Stage IV, dead, 1662 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.
MRPL37 is not prognostic in Ovary Serous Cystadenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
72.2
Number of samples
81
Samples
Sample
Description
TPM
DO46352
0 years, female, NA, stage:III, dead, 677 days
145.9
DO46586
0 years, female, NA, stage:III, dead, 1019 days
134.9
DO46606
0 years, female, NA, stage:III, alive, 804 days
134.8
DO46329
0 years, female, NA, stage:III, dead, 1699 days
123.7
DO46581
0 years, female, NA, stage:III, dead, 408 days
116.8
DO46523
0 years, female, NA, stage:IV, alive, 1873 days
115.4
DO46366
0 years, female, NA, stage:III, dead, 2054 days
112.9
DO46453
0 years, female, NA, stage:III, dead, 3294 days
110.4
DO46344
0 years, female, NA, stage:III, dead, 642 days
104.6
DO46493
0 years, female, NA, stage:IV, alive, 839 days
100.4
DO46438
0 years, female, NA, stage:IV, alive, 2227 days
98.8
DO46576
0 years, female, NA, stage:III, alive, 133 days
97.6
DO46528
0 years, female, NA, stage:III, alive, 6139 days
96.6
DO46538
0 years, female, NA, stage:III, dead, 1527 days
94.2
DO46370
0 years, female, NA, stage:III, dead, 1727 days
91.5
DO46362
0 years, female, NA, stage:III, dead, 1639 days
88.3
DO46372
0 years, female, NA, stage:III, dead, 1326 days
87.8
DO46378
0 years, female, NA, stage:III, alive, 843 days
86.6
DO46533
0 years, female, NA, stage:III, alive, 3667 days
85.7
DO46463
0 years, female, NA, stage:III, dead, 2451 days
83.7
DO46364
0 years, female, NA, stage:III, dead, 806 days
82.9
DO46404
0 years, female, NA, stage:III, dead, 690 days
81.7
DO46376
0 years, female, NA, stage:III, dead, 1430 days
80.5
DO46436
0 years, female, NA, stage:III, alive, 3193 days
80.0
DO46380
0 years, female, NA, stage:III, dead, 1423 days
79.8
DO46330
0 years, female, NA, stage:III, dead, 684 days
79.7
DO46333
0 years, female, NA, stage:III, dead, 359 days
79.4
DO46591
0 years, female, NA, stage:III, dead, 195 days
78.1
DO46388
0 years, female, NA, stage:III, dead, 413 days
77.2
DO46394
0 years, female, NA, stage:IV, dead, 1039 days
77.1
DO46360
0 years, female, NA, stage:IV, dead, 1759 days
76.8
DO46611
0 years, female, NA, stage:III, dead, 734 days
76.0
DO46368
0 years, female, NA, stage:III, dead, 2879 days
74.7
DO46350
0 years, female, NA, stage:III, dead, 886 days
74.5
DO46354
0 years, female, NA, stage:III, dead, 843 days
73.7
DO46342
0 years, female, NA, stage:III, dead, 1398 days
73.3
DO46566
0 years, female, NA, stage:III, dead, 673 days
70.3
DO46551
0 years, female, NA, stage:III, dead, 1055 days
70.1
DO46408
0 years, female, NA, stage:III, dead, 489 days
69.9
DO46602
0 years, female, NA, stage:III, dead, 205 days
69.4
DO46400
0 years, female, NA, stage:III, dead, 719 days
69.3
DO46588
0 years, female, NA, stage:III, dead, 438 days
69.1
DO46328
0 years, female, NA, stage:III, dead, 972 days
68.3
DO46568
0 years, female, NA, stage:III, dead, 320 days
67.7
DO46325
0 years, female, NA, stage:III, dead, 477 days
67.3
DO46561
0 years, female, NA, stage:III, dead, 195 days
67.2
DO46358
0 years, female, NA, stage:III, dead, 423 days
66.9
DO46392
0 years, female, NA, stage:III, dead, 628 days
66.8
DO46346
0 years, female, NA, stage:III, dead, 1187 days
64.7
DO46382
0 years, female, NA, stage:IV, dead, 311 days
63.2
DO46327
0 years, female, NA, stage:III, dead, 184 days
63.0
DO46560
0 years, female, NA, stage:IV, dead, 286 days
62.7
DO46443
0 years, female, NA, stage:III, dead, 2464 days
62.3
DO46508
0 years, female, NA, stage:III, dead, 2101 days
61.7
DO46332
0 years, female, NA, stage:III, dead, 689 days
61.5
DO46336
0 years, female, NA, stage:IV, dead, 664 days
60.7
DO46513
0 years, female, NA, stage:IV, dead, 1883 days
60.6
DO46458
0 years, female, NA, stage:IV, alive, 3787 days
60.1
DO46468
0 years, female, NA, stage:III, alive, 2776 days
58.8
DO46338
0 years, female, NA, stage:III, dead, 596 days
58.4
DO46340
0 years, female, NA, stage:III, dead, 616 days
55.0
DO46374
0 years, female, NA, stage:III, dead, 1409 days
54.6
DO46386
0 years, female, NA, stage:III, dead, 1162 days
53.7
DO46402
0 years, female, NA, stage:III, dead, 511 days
53.5
DO46432
0 years, female, NA, stage:III, alive, 2218 days
53.3
DO46334
0 years, female, NA, stage:III, dead, 496 days
50.2
DO46398
0 years, female, NA, stage:III, alive, 437 days
49.9
DO46348
0 years, female, NA, stage:IV, dead, 287 days
49.5
DO46326
0 years, female, NA, stage:III, dead, 701 days
49.3
DO46384
0 years, female, NA, stage:III, dead, 614 days
48.3
DO46571
0 years, female, NA, stage:III, dead, 243 days
47.1
DO46518
0 years, female, NA, stage:III, alive, 2960 days
45.4
DO46396
0 years, female, NA, stage:III, dead, 583 days
45.1
DO46412
0 years, female, NA, stage:III, dead, 597 days
44.6
DO46597
0 years, female, NA, stage:III, dead, 393 days
43.7
DO46448
0 years, female, NA, stage:III, dead, 654 days
41.4
DO46356
0 years, female, NA, stage:III, dead, 911 days
38.2
DO46390
0 years, female, NA, stage:III, dead, 374 days
37.9
DO46331
0 years, female, NA, stage:III, dead, 612 days
29.4
DO46546
0 years, female, NA, stage:III, dead, 1889 days
25.1
DO46428
0 years, female, NA, stage:IV, alive, 2644 days
21.5
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
0.6
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
0.5
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
0.4
a3a26070-fb84-406a-8280-d555e6_D2
Normal
0.4
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
0.3
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
0.3
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
0.3
2f901c90-617e-46da-9fac-d68369_D2
Tumor
0.3
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
0.2
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
0.2
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
0.2
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
0.2
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
0.2
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
0.2
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
0.1
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
0.1
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
0.1
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
0.1
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
0.1
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
0.1
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
0.1
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
0.1
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
0.1
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
0.1
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
0.0
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
0.0
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
0.0
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
0.0
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
0.0
340a3769-3031-41ae-bb08-a2f696_D2
Normal
0.0
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
0.0
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
0.0
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-0.1
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
-0.1
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
-0.1
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
-0.1
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
-0.1
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
-0.1
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
-0.1
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
-0.1
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
-0.1
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
-0.1
1a10c200-3895-4648-b951-94f99f_D2
Tumor
-0.2
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
-0.2
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
-0.2
285fed94-1495-448e-879b-b55de9_D2
Tumor
-0.2
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
-0.2
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
-0.2
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
-0.2
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
-0.2
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
-0.3
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
-0.3
10c2d629-0287-4511-ac25-f29031_D2
Tumor
-0.3
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
-0.3
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
-0.3
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
-0.3
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
-0.3
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
-0.3
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
-0.3
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
-0.3
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-0.3
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
-0.3
161317f3-1a39-438e-af45-cd2502_D2
Tumor
-0.4
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
-0.4
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
-0.4
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
-0.4
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
-0.4
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
-0.4
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
-0.4
1772e913-f62e-446a-8cf3-720348_D2
Tumor
-0.4
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
-0.4
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
-0.4
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
-0.5
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
-0.5
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
-0.5
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
-0.5
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
-0.6
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
-0.6
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
-0.6
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
-0.6
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
-0.6
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
-0.6
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
-0.6
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
-0.6
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
-0.6
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
-0.7
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
-0.7
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
-0.7
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
-0.7
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
-0.7
1db5574d-aca7-403c-8100-6e705f_D2
Normal
-0.7
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
-0.8
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
-0.8
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
-0.8
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
-0.8
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
-0.8
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
-0.8
e9d416e7-f661-400a-896e-388545_D2
Tumor
-0.8
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
-0.9
15524912-685a-47ce-a824-567848_D2
Tumor
-0.9
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
-0.9
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
-0.9
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
-1.0
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
-1.0
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
-1.1
a65d8e76-640f-4341-a561-afbb57_D2
Normal
-1.1
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
-1.3
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
-1.3
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
