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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.
RPL35 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
3449.6
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
11366.0
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
10390.0
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
9548.1
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
9491.9
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
9158.5
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
8412.6
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
8064.0
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
7997.2
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
7861.5
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
7619.4
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
7610.8
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
7483.4
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
6928.2
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
6827.1
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
6689.3
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
6686.7
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
6543.8
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
6537.2
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
6467.8
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
6460.2
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
6325.6
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
6224.2
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
6223.0
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
6213.9
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
6164.7
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
6128.7
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
6100.6
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
6098.2
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
6084.4
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
6034.0
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
5977.7
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
5857.8
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
5819.9
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
5771.4
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
5647.0
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
5603.2
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
5552.8
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
5454.2
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
5427.8
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
5415.1
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
5366.6
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
5365.3
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
5353.6
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
5329.0
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
5304.9
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
5263.6
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
5248.2
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
5233.8
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
5220.5
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
5211.5
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
5182.7
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
5176.4
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
5142.6
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
5123.8
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
4959.0
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
4908.5
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
4907.4
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
4831.7
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
4827.5
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
4799.2
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
4766.0
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
4759.6
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
4758.4
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
4757.1
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
4742.6
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
4712.4
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
4687.6
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
4620.5
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
4614.1
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
4583.5
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
4551.9
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
4536.4
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
4517.0
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
4504.8
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
4504.7
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
4500.4
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
4488.4
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
4475.5
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
4451.9
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
4440.7
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
4418.4
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
4374.3
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
4370.2
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
4362.1
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
4357.8
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
4314.9
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
4273.4
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
4267.4
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
4260.0
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
4238.6
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
4222.5
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
4214.2
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
4187.7
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
4183.9
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
4151.1
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
4149.8
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
4147.1
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
4113.9
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
4113.5
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
4107.5
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
4103.6
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
4066.4
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
4042.3
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
4036.3
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
4026.3
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
4025.6
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
4020.1
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
4010.2
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
3991.6
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
3984.4
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
3973.8
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
3965.5
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
3964.8
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
3944.1
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
3939.7
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
3938.2
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
3908.1
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
3893.6
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
3877.7
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
3832.3
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
3825.0
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
3804.0
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
3802.9
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
3786.0
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
3759.7
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
3748.6
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
3746.7
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
3735.0
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
3734.9
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
3718.1
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
3676.9
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
3676.0
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
3660.5
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
3659.8
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
3642.1
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
3633.4
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
3611.1
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
3609.1
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
3609.0
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
3589.0
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
3554.7
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
3536.3
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
3527.5
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
3521.2
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
3517.7
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
3491.1
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
3482.8
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
3481.4
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
3470.3
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
3460.1
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
3445.1
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
3410.3
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
3409.3
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
3397.3
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
3370.6
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
3363.4
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
3334.7
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
3283.5
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
3279.5
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
3275.2
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
3270.6
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
3264.9
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
3232.1
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
3226.8
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
3219.9
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
3211.7
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
3208.0
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
3201.4
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
3194.0
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
3180.9
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
3162.2
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
3158.7
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
3150.1
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
3134.5
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
3129.0
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
3126.1
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
3123.4
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
3110.4
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
3106.6
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
3102.5
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
3092.9
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
3090.6
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
3084.8
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
3063.9
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
3047.7
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
3016.1
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
3014.2
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
3003.9
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
3000.4
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
2976.6
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
2933.5
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
2927.8
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
2926.3
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
2897.9
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
2897.2
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
2877.2
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
2873.4
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
2871.8
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
2860.6
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
2857.9
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
2817.5
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
2786.2
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
2770.7
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
2728.8
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
2698.4
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
2695.1
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
2671.7
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
2653.0
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
2630.9
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
2628.5
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
2620.3
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
2619.4
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
2587.9
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
2576.6
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
2569.5
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
2564.9
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
2563.6
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
2558.4
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
2555.2
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
2552.2
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
2533.6
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
2533.3
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
2532.8
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
2530.8
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
2486.1
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
2472.7
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
2469.7
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
2462.0
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
2461.5
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
2458.0
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
2457.8
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
2456.4
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
2455.3
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
2452.5
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
2449.0
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
2444.6
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
2435.7
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
2430.7
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
2404.7
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
2404.6
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
2401.8
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
2394.0
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
2370.6
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
2367.9
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
2343.7
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
2334.7
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
2330.5
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
2312.9
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
2308.5
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
2296.6
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
2291.3
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
2290.9
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
2281.5
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
2260.8
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
2244.4
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
2242.1
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
2240.5
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
2208.7
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
2205.5
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
2170.4
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
2153.8
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
2153.3
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
2148.0
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
2142.9
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
2134.7
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
2121.5
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
2118.1
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
2118.0
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
2116.5
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
2108.3
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
2108.0
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
2086.9
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
2071.9
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
2055.9
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
2052.5
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
2048.0
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
2047.0
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
2039.3
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
2035.6
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
2029.5
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
2024.5
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
2021.4
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
2011.7
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
2006.3
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
1995.3
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
1988.7
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
1974.4
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
1961.6
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
1957.7
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
1946.2
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
1933.0
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
1929.1
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
1927.0
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
1926.2
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
1925.6
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
1874.1
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
1868.7
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
1862.4
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
1857.3
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
1846.7
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
1843.8
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
1826.1
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
1824.8
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
1815.6
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
1810.7
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
1797.2
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
1793.3
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
1793.2
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
1773.5
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
1768.2
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
1727.4
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
1719.6
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
1701.9
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
1701.5
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
1690.0
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
1676.6
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
1666.6
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
1638.1
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
1617.0
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
1612.7
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
1571.6
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
1565.0
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
1561.6
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
1559.6
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
1557.8
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
1541.3
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
1540.8
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
1528.1
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
1507.0
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
1498.8
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
1489.1
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
1488.7
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
1488.6
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
1475.4
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
1441.9
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
1431.0
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
1407.7
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
1402.5
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
1396.4
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
1373.6
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
1338.0
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
1331.6
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
1198.2
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
1146.3
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
1107.0
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
1032.4
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
862.0
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
823.4
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 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.
RPL35 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
2362.1
Number of samples
81
Samples
Sample
Description
pTPM
DO46333
58 years, female, NA, stage:III, dead, 359 days
8965.6
DO46611
52 years, female, NA, stage:III, dead, 734 days
7803.4
DO46356
68 years, female, NA, stage:III, dead, 911 days
4996.8
DO46408
56 years, female, NA, stage:III, dead, 489 days
4840.9
DO46380
51 years, female, NA, stage:III, dead, 1423 days
4751.2
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
4703.4
DO46453
66 years, female, NA, stage:III, dead, 3294 days
4610.6
DO46581
66 years, female, NA, stage:III, dead, 408 days
3954.6
DO46576
75 years, female, NA, stage:III, alive, 133 days
3833.9
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
3787.0
DO46366
65 years, female, NA, stage:III, dead, 2054 days
3746.8
DO46331
72 years, female, NA, stage:III, dead, 612 days
3592.0
DO46404
55 years, female, NA, stage:III, dead, 690 days
3419.8
DO46364
45 years, female, NA, stage:III, dead, 806 days
3295.1
DO46390
65 years, female, NA, stage:III, dead, 374 days
3239.4
DO46493
62 years, female, NA, stage:IV, alive, 839 days
3221.0
DO46328
52 years, female, NA, stage:III, dead, 972 days
3185.4
DO46533
46 years, female, NA, stage:III, alive, 3667 days
3181.1
DO46392
48 years, female, NA, stage:III, dead, 628 days
3173.4
DO46568
66 years, female, NA, stage:III, dead, 320 days
3146.1
DO46370
54 years, female, NA, stage:III, dead, 1727 days
3084.9
DO46551
58 years, female, NA, stage:III, dead, 1055 days
3079.0
DO46561
52 years, female, NA, stage:III, dead, 195 days
2937.7
DO46538
57 years, female, NA, stage:III, dead, 1527 days
2763.2
DO46463
49 years, female, NA, stage:III, dead, 2451 days
2720.7
DO46546
73 years, female, NA, stage:III, dead, 1889 days
2676.2
DO46376
58 years, female, NA, stage:III, dead, 1430 days
2545.8
DO46528
56 years, female, NA, stage:III, alive, 6139 days
2457.6
DO46348
58 years, female, NA, stage:IV, dead, 287 days
2437.7
DO46518
62 years, female, NA, stage:III, alive, 2960 days
2419.0
DO46362
61 years, female, NA, stage:III, dead, 1639 days
2231.8
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
2226.8
DO46326
51 years, female, NA, stage:III, dead, 701 days
2226.0
DO46384
55 years, female, NA, stage:III, dead, 614 days
2165.3
DO46344
46 years, female, NA, stage:III, dead, 642 days
2143.4
DO46338
59 years, female, NA, stage:III, dead, 596 days
2137.3
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
2136.0
DO46354
73 years, female, NA, stage:III, dead, 843 days
2108.4
DO46586
55 years, female, NA, stage:III, dead, 1019 days
2078.8
DO46342
67 years, female, NA, stage:III, dead, 1398 days
2070.5
DO46386
49 years, female, NA, stage:III, dead, 1162 days
1987.5
DO46372
39 years, female, NA, stage:III, dead, 1326 days
1972.2
DO46402
77 years, female, NA, stage:III, dead, 511 days
1970.3
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
1967.0
DO46602
74 years, female, NA, stage:III, dead, 205 days
1903.1
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
1862.0
DO46352
60 years, female, NA, stage:III, dead, 677 days
1849.1
DO46591
58 years, female, NA, stage:III, dead, 195 days
1844.0
DO46443
59 years, female, NA, stage:III, dead, 2464 days
1777.9
DO46468
67 years, female, NA, stage:III, alive, 2776 days
1763.5
DO46388
74 years, female, NA, stage:III, dead, 413 days
1760.9
DO46325
54 years, female, NA, stage:III, dead, 477 days
1675.1
DO46508
50 years, female, NA, stage:III, dead, 2101 days
1614.3
DO46340
62 years, female, NA, stage:III, dead, 616 days
1523.4
DO46334
77 years, female, NA, stage:III, dead, 496 days
1521.6
DO46597
60 years, female, NA, stage:III, dead, 393 days
1519.9
DO46336
70 years, female, NA, stage:IV, dead, 664 days
1506.7
DO46329
52 years, female, NA, stage:III, dead, 1699 days
1454.1
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
1404.3
DO46412
64 years, female, NA, stage:III, dead, 597 days
1363.6
DO46332
56 years, female, NA, stage:III, dead, 689 days
1327.9
DO46378
59 years, female, NA, stage:III, alive, 843 days
1284.1
DO46448
45 years, female, NA, stage:III, dead, 654 days
1280.0
DO46330
60 years, female, NA, stage:III, dead, 684 days
1258.5
DO46588
74 years, female, NA, stage:III, dead, 438 days
1219.2
DO46346
54 years, female, NA, stage:III, dead, 1187 days
1205.1
DO46560
45 years, female, NA, stage:IV, dead, 286 days
1200.3
DO46432
56 years, female, NA, stage:III, alive, 2218 days
1173.4
DO46368
57 years, female, NA, stage:III, dead, 2879 days
1158.2
DO46400
70 years, female, NA, stage:III, dead, 719 days
1152.5
DO46396
64 years, female, NA, stage:III, dead, 583 days
1150.4
DO46327
54 years, female, NA, stage:III, dead, 184 days
1130.5
DO46358
60 years, female, NA, stage:III, dead, 423 days
1122.2
DO46571
61 years, female, NA, stage:III, dead, 243 days
1047.7
DO46398
66 years, female, NA, stage:III, alive, 437 days
1002.2
DO46382
62 years, female, NA, stage:IV, dead, 311 days
987.5
DO46606
73 years, female, NA, stage:III, alive, 804 days
914.5
DO46436
58 years, female, NA, stage:III, alive, 3193 days
892.6
DO46350
66 years, female, NA, stage:III, dead, 886 days
883.6
DO46566
78 years, female, NA, stage:III, dead, 673 days
871.4
DO46374
69 years, female, NA, stage:III, dead, 1409 days
735.5
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
1.5
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
1.3
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
1.3
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
1.3
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
1.3
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
1.2
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
1.2
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
1.2
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
1.1
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
1.1
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
1.0
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
1.0
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
1.0
2f901c90-617e-46da-9fac-d68369_D2
Tumor
0.9
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
0.9
161317f3-1a39-438e-af45-cd2502_D2
Tumor
0.8
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
0.8
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
0.8
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
0.8
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
0.8
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
0.7
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
0.7
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
0.7
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
0.6
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
0.6
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
0.6
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
0.5
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
0.5
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
0.5
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
0.5
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
0.5
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
0.4
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
0.4
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
0.4
15524912-685a-47ce-a824-567848_D2
Tumor
0.3
1db5574d-aca7-403c-8100-6e705f_D2
Normal
0.3
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
0.3
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
0.3
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
0.3
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
0.3
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
0.3
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
0.3
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
0.2
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
0.2
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
0.2
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
0.2
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
0.2
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
0.2
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
0.2
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
0.2
285fed94-1495-448e-879b-b55de9_D2
Tumor
0.2
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
0.1
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
0.1
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
0.1
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
0.1
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
0.1
1772e913-f62e-446a-8cf3-720348_D2
Tumor
0.1
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
0.1
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
0.0
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
0.0
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
0.0
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
0.0
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
0.0
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
0.0
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
0.0
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
-0.1
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
-0.1
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
-0.1
340a3769-3031-41ae-bb08-a2f696_D2
Normal
-0.1
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
-0.1
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
-0.1
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
-0.2
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
-0.2
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
-0.2
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
-0.3
10c2d629-0287-4511-ac25-f29031_D2
Tumor
-0.3
1a10c200-3895-4648-b951-94f99f_D2
Tumor
-0.3
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
-0.3
a65d8e76-640f-4341-a561-afbb57_D2
Normal
-0.4
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
-0.4
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
-0.4
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
-0.4
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
-0.4
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
-0.5
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
-0.5
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
-0.5
e9d416e7-f661-400a-896e-388545_D2
Tumor
-0.5
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
-0.6
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
-0.6
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
-0.6
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
-0.6
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
-0.6
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
-0.6
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
-0.6
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
-0.7
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
-0.7
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
-0.7
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-0.8
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
-0.9
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
-0.9
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
-0.9
a3a26070-fb84-406a-8280-d555e6_D2
Normal
-0.9
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
-1.2
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
-1.2
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
-1.2
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-1.3
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
-1.5
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
-1.6
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
