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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.
RPS11 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
4726.6
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
13889.9
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
11386.2
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
11253.8
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
10751.5
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
10476.1
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
10435.2
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
9945.4
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
9678.3
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
9495.4
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
9351.4
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
9217.8
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
9105.7
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
9105.1
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
9076.4
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
8993.8
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
8966.1
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
8803.8
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
8690.3
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
8544.7
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
8503.7
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
8186.3
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
8125.4
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
8102.9
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
8088.1
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
8041.6
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
7998.2
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
7975.9
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
7959.0
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
7754.6
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
7751.6
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
7746.7
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
7741.9
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
7716.1
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
7661.2
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
7634.4
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
7607.1
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
7579.4
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
7479.2
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
7462.0
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
7455.5
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
7433.4
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
7301.8
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
7229.4
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
7218.0
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
7093.6
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
7077.6
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
7074.8
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
7052.1
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
7010.7
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
7000.6
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
6974.8
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
6925.0
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
6884.1
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
6862.8
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
6774.0
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
6735.2
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
6694.9
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
6669.2
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
6611.4
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
6599.2
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
6577.6
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
6564.4
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
6543.9
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
6542.7
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
6535.9
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
6450.9
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
6443.2
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
6429.0
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
6381.8
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
6339.7
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
6312.3
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
6307.1
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
6276.0
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
6263.0
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
6248.0
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
6232.7
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
6188.8
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
6173.6
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
6171.6
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
6169.8
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
6159.1
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
6154.6
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
6153.4
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
6140.3
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
6122.8
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
6055.3
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
6024.0
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
6005.1
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
5879.2
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
5878.6
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
5877.6
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
5871.2
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
5863.8
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
5860.4
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
5752.1
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
5740.3
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
5710.4
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
5709.3
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
5705.5
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
5703.7
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
5677.3
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
5633.7
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
5610.0
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
5559.0
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
5538.4
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
5536.0
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
5502.0
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
5480.8
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
5471.8
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
5348.4
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
5330.9
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
5320.6
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
5317.3
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
5300.0
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
5231.2
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
5229.7
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
5229.4
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
5227.8
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
5217.0
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
5162.1
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
5044.8
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
4969.3
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
4944.3
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
4926.4
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
4920.8
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
4910.1
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
4900.0
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
4884.7
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
4867.0
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
4865.4
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
4846.3
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
4844.8
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
4840.7
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
4818.0
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
4807.0
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
4785.5
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
4774.8
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
4759.5
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
4758.3
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
4757.1
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
4746.2
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
4724.9
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
4687.8
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
4682.6
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
4675.3
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
4671.1
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
4662.2
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
4646.2
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
4631.6
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
4624.4
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
4603.9
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
4589.4
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
4578.3
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
4573.6
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
4573.3
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
4551.8
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
4545.3
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
4543.8
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
4524.0
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
4503.9
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
4468.2
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
4428.3
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
4408.0
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
4405.7
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
4398.7
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
4351.6
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
4341.0
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
4331.4
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
4326.8
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
4325.7
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
4301.0
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
4289.0
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
4278.9
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
4276.3
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
4246.9
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
4221.2
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
4216.0
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
4198.6
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
4184.2
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
4154.0
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
4152.9
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
4132.7
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
4126.2
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
4124.9
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
4118.3
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
4114.7
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
4114.2
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
4092.2
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
4077.1
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
4074.1
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
4070.8
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
4062.3
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
4060.1
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
4059.3
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
4041.4
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
4030.0
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
4027.5
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
4025.1
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
4001.4
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
4001.0
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
3992.0
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
3973.1
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
3969.4
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
3965.3
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
3919.3
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
3913.6
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
3912.8
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
3911.9
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
3886.7
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
3877.4
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
3864.3
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
3864.3
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
3860.1
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
3856.3
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
3834.7
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
3816.2
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
3804.8
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
3788.6
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
3785.5
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
3768.0
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
3766.1
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
3750.7
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
3730.9
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
3728.8
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
3723.6
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
3714.0
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
3712.7
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
3672.1
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
3653.7
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
3650.8
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
3636.8
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
3606.8
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
3606.8
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
3582.1
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
3581.6
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
3575.1
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
3570.8
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
3566.5
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
3554.0
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
3522.6
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
3521.2
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
3511.4
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
3511.3
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
3463.0
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
3440.1
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
3430.2
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
3403.5
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
3372.3
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
3358.6
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
3353.6
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
3351.4
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
3351.2
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
3335.1
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
3332.0
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
3326.5
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
3316.9
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
3314.9
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
3294.4
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
3275.5
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
3264.8
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
3254.4
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
3242.9
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
3230.6
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
3221.2
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
3215.0
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
3205.6
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
3203.8
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
3194.9
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
3176.0
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
3154.3
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
3136.5
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
3135.7
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
3124.2
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
3108.9
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
3097.8
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
3094.4
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
3062.0
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
3053.4
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
3008.8
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
2975.5
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
2975.0
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
2948.0
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
2946.6
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
2936.3
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
2931.9
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
2926.1
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
2914.5
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
2908.5
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
2859.0
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
2855.4
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
2850.1
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
2829.4
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
2828.7
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
2786.1
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
2779.5
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
2757.6
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
2732.7
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
2724.7
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
2709.6
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
2704.8
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
2702.6
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
2688.2
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
2685.7
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
2678.8
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
2670.2
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
2664.4
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
2604.3
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
2602.9
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
2596.1
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
2577.2
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
2568.8
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
2553.6
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
2553.1
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
2551.0
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
2518.6
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
2494.7
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
2477.3
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
2474.4
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
2419.2
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
2419.2
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
2370.0
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
2368.1
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
2342.8
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
2326.8
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
2312.9
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
2301.7
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
2238.9
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
2235.5
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
2221.2
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
2209.0
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
2201.5
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
2159.1
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
2151.1
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
2150.9
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
2138.2
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
2132.6
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
2068.2
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
1995.8
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
1953.3
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
1865.9
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
1852.9
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
1800.3
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
1794.7
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
1771.1
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
1691.8
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
1611.9
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
1543.3
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
1528.4
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 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.
RPS11 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
3381.7
Number of samples
81
Samples
Sample
Description
pTPM
DO46352
60 years, female, NA, stage:III, dead, 677 days
8479.2
DO46384
55 years, female, NA, stage:III, dead, 614 days
6871.5
DO46611
52 years, female, NA, stage:III, dead, 734 days
6816.0
DO46463
49 years, female, NA, stage:III, dead, 2451 days
6810.8
DO46333
58 years, female, NA, stage:III, dead, 359 days
6322.2
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
6216.3
DO46356
68 years, female, NA, stage:III, dead, 911 days
6144.5
DO46568
66 years, female, NA, stage:III, dead, 320 days
5495.4
DO46370
54 years, female, NA, stage:III, dead, 1727 days
5373.2
DO46538
57 years, female, NA, stage:III, dead, 1527 days
5243.1
DO46443
59 years, female, NA, stage:III, dead, 2464 days
5176.5
DO46331
72 years, female, NA, stage:III, dead, 612 days
5100.9
DO46508
50 years, female, NA, stage:III, dead, 2101 days
5040.3
DO46576
75 years, female, NA, stage:III, alive, 133 days
4958.0
DO46364
45 years, female, NA, stage:III, dead, 806 days
4806.7
DO46338
59 years, female, NA, stage:III, dead, 596 days
4796.3
DO46390
65 years, female, NA, stage:III, dead, 374 days
4604.4
DO46533
46 years, female, NA, stage:III, alive, 3667 days
4588.9
DO46326
51 years, female, NA, stage:III, dead, 701 days
4327.1
DO46402
77 years, female, NA, stage:III, dead, 511 days
4209.4
DO46408
56 years, female, NA, stage:III, dead, 489 days
4144.1
DO46561
52 years, female, NA, stage:III, dead, 195 days
4033.7
DO46566
78 years, female, NA, stage:III, dead, 673 days
3899.5
DO46400
70 years, female, NA, stage:III, dead, 719 days
3834.0
DO46588
74 years, female, NA, stage:III, dead, 438 days
3806.4
DO46392
48 years, female, NA, stage:III, dead, 628 days
3695.5
DO46334
77 years, female, NA, stage:III, dead, 496 days
3660.8
DO46376
58 years, female, NA, stage:III, dead, 1430 days
3641.0
DO46388
74 years, female, NA, stage:III, dead, 413 days
3490.3
DO46380
51 years, female, NA, stage:III, dead, 1423 days
3468.9
DO46386
49 years, female, NA, stage:III, dead, 1162 days
3398.2
DO46330
60 years, female, NA, stage:III, dead, 684 days
3384.3
DO46528
56 years, female, NA, stage:III, alive, 6139 days
3377.1
DO46560
45 years, female, NA, stage:IV, dead, 286 days
3358.1
DO46328
52 years, female, NA, stage:III, dead, 972 days
3281.8
DO46581
66 years, female, NA, stage:III, dead, 408 days
3250.6
DO46591
58 years, female, NA, stage:III, dead, 195 days
3233.6
DO46382
62 years, female, NA, stage:IV, dead, 311 days
3222.7
DO46342
67 years, female, NA, stage:III, dead, 1398 days
3185.7
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
3169.8
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
3116.5
DO46354
73 years, female, NA, stage:III, dead, 843 days
3081.4
DO46362
61 years, female, NA, stage:III, dead, 1639 days
3042.0
DO46329
52 years, female, NA, stage:III, dead, 1699 days
2935.5
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
2870.3
DO46597
60 years, female, NA, stage:III, dead, 393 days
2845.7
DO46432
56 years, female, NA, stage:III, alive, 2218 days
2838.9
DO46374
69 years, female, NA, stage:III, dead, 1409 days
2708.2
DO46453
66 years, female, NA, stage:III, dead, 3294 days
2656.3
DO46398
66 years, female, NA, stage:III, alive, 437 days
2608.7
DO46586
55 years, female, NA, stage:III, dead, 1019 days
2598.6
DO46366
65 years, female, NA, stage:III, dead, 2054 days
2591.2
DO46571
61 years, female, NA, stage:III, dead, 243 days
2517.0
DO46368
57 years, female, NA, stage:III, dead, 2879 days
2476.7
DO46378
59 years, female, NA, stage:III, alive, 843 days
2472.3
DO46358
60 years, female, NA, stage:III, dead, 423 days
2453.8
DO46404
55 years, female, NA, stage:III, dead, 690 days
2448.1
DO46518
62 years, female, NA, stage:III, alive, 2960 days
2408.5
DO46325
54 years, female, NA, stage:III, dead, 477 days
2406.9
DO46448
45 years, female, NA, stage:III, dead, 654 days
2362.7
DO46602
74 years, female, NA, stage:III, dead, 205 days
2355.3
DO46348
58 years, female, NA, stage:IV, dead, 287 days
2294.9
DO46372
39 years, female, NA, stage:III, dead, 1326 days
2236.9
DO46350
66 years, female, NA, stage:III, dead, 886 days
2210.6
DO46493
62 years, female, NA, stage:IV, alive, 839 days
2164.9
DO46332
56 years, female, NA, stage:III, dead, 689 days
2086.8
DO46346
54 years, female, NA, stage:III, dead, 1187 days
2029.6
DO46436
58 years, female, NA, stage:III, alive, 3193 days
1985.3
DO46551
58 years, female, NA, stage:III, dead, 1055 days
1949.3
DO46606
73 years, female, NA, stage:III, alive, 804 days
1889.6
DO46412
64 years, female, NA, stage:III, dead, 597 days
1879.6
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
1860.9
DO46396
64 years, female, NA, stage:III, dead, 583 days
1831.8
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
1790.7
DO46468
67 years, female, NA, stage:III, alive, 2776 days
1721.1
DO46327
54 years, female, NA, stage:III, dead, 184 days
1670.6
DO46344
46 years, female, NA, stage:III, dead, 642 days
1518.9
DO46336
70 years, female, NA, stage:IV, dead, 664 days
1471.8
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
1414.9
DO46340
62 years, female, NA, stage:III, dead, 616 days
1147.6
DO46546
73 years, female, NA, stage:III, dead, 1889 days
1053.3
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
1.0
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
0.7
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
0.6
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
0.5
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
0.4
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
0.4
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
0.4
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
0.4
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
0.4
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
0.4
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
0.4
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
0.4
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
0.3
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
0.3
285fed94-1495-448e-879b-b55de9_D2
Tumor
0.3
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
0.3
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
0.3
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
0.3
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
0.3
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
0.3
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
0.2
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
0.2
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
0.2
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
0.2
161317f3-1a39-438e-af45-cd2502_D2
Tumor
0.2
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
0.2
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
0.2
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
0.2
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
0.2
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
0.2
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
0.2
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
0.2
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
0.2
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
0.2
2f901c90-617e-46da-9fac-d68369_D2
Tumor
0.2
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
0.1
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
0.1
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
0.1
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
0.1
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
0.1
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
0.1
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
0.1
15524912-685a-47ce-a824-567848_D2
Tumor
0.1
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
0.1
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
0.1
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
0.1
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
0.0
1a10c200-3895-4648-b951-94f99f_D2
Tumor
0.0
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
0.0
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
0.0
1db5574d-aca7-403c-8100-6e705f_D2
Normal
0.0
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
0.0
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
0.0
10c2d629-0287-4511-ac25-f29031_D2
Tumor
0.0
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
0.0
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
0.0
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
0.0
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
0.0
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
0.0
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
0.0
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
0.0
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
0.0
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
0.0
e9d416e7-f661-400a-896e-388545_D2
Tumor
0.0
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
-0.1
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-0.1
1772e913-f62e-446a-8cf3-720348_D2
Tumor
-0.1
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
-0.1
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
-0.1
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
-0.1
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-0.1
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
-0.1
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
-0.1
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
-0.1
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
-0.1
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
-0.2
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
-0.2
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
-0.2
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
-0.2
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
-0.2
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
-0.2
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
-0.3
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
-0.3
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
-0.3
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
-0.3
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
-0.3
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
-0.3
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
-0.3
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
-0.3
340a3769-3031-41ae-bb08-a2f696_D2
Normal
-0.3
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
-0.3
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
-0.3
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
-0.4
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
-0.4
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
-0.4
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
-0.4
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-0.4
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
-0.4
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
-0.5
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
-0.5
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
-0.5
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
-0.5
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
-0.5
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
-0.6
a3a26070-fb84-406a-8280-d555e6_D2
Normal
-0.6
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
-0.6
a65d8e76-640f-4341-a561-afbb57_D2
Normal
-0.6
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
-0.8
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
