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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.
RPS21 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
3578.2
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
14109.1
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
12921.6
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
12470.3
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
10837.9
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
10018.5
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
9916.3
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
9794.8
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
9727.2
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
9486.7
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
9242.2
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
9010.5
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
8995.9
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
8890.5
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
8306.6
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
8177.2
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
8144.3
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
8125.0
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
7797.8
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
7694.0
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
7452.6
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
7434.6
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
7368.9
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
6802.6
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
6782.3
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
6720.4
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
6588.5
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
6582.9
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
6575.4
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
6449.6
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
6324.5
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
6289.1
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
6259.9
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
6259.0
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
6179.1
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
6177.4
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
6115.2
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
6007.4
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
5927.4
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
5912.9
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
5894.7
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
5863.0
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
5847.4
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
5817.2
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
5799.7
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
5672.2
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
5646.1
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
5587.1
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
5555.2
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
5544.2
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
5544.0
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
5489.4
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
5465.8
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
5440.8
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
5392.0
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
5345.5
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
5296.5
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
5275.0
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
5221.2
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
5213.2
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
5208.1
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
5183.5
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
5157.5
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
5154.2
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
5093.7
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
5033.3
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
5028.1
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
5017.7
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
4920.2
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
4897.9
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
4887.6
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
4837.3
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
4801.1
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
4644.4
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
4623.5
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
4617.2
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
4577.7
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
4572.9
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
4548.0
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
4505.2
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
4498.9
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
4484.5
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
4470.7
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
4421.0
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
4398.9
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
4382.6
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
4369.2
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
4368.9
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
4359.5
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
4341.3
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
4287.7
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
4261.6
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
4247.8
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
4211.4
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
4200.6
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
4196.1
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
4186.0
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
4130.9
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
4092.6
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
4085.2
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
4080.5
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
4021.7
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
4011.9
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
3974.4
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
3956.4
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
3925.8
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
3912.0
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
3906.3
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
3905.0
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
3893.8
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
3890.8
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
3879.0
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
3877.0
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
3850.1
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
3845.1
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
3834.6
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
3761.6
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
3755.5
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
3747.8
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
3740.4
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
3737.7
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
3728.6
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
3728.4
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
3726.0
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
3718.8
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
3684.2
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
3683.9
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
3675.3
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
3639.6
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
3635.5
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
3622.4
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
3621.3
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
3614.2
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
3607.3
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
3601.7
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
3562.3
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
3535.6
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
3533.6
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
3524.8
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
3517.9
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
3508.6
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
3501.7
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
3484.5
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
3474.9
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
3438.8
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
3437.9
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
3423.6
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
3420.9
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
3415.2
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
3339.7
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
3336.9
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
3320.8
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
3301.8
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
3294.1
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
3287.6
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
3271.2
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
3255.9
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
3253.7
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
3220.3
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
3204.1
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
3191.1
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
3189.4
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
3188.4
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
3172.8
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
3165.9
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
3161.9
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
3160.9
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
3153.3
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
3140.7
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
3139.3
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
3088.7
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
3084.2
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
3075.9
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
3069.3
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
3040.7
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
3023.4
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
3014.8
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
3013.4
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
2996.7
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
2981.9
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
2981.1
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
2976.1
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
2964.1
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
2945.9
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
2945.7
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
2933.4
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
2902.1
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
2888.3
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
2885.8
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
2878.9
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
2857.5
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
2838.6
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
2819.9
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
2815.7
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
2802.2
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
2796.3
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
2791.7
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
2783.5
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
2755.5
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
2746.9
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
2737.9
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
2732.6
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
2730.3
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
2729.0
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
2723.5
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
2712.4
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
2708.5
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
2681.8
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
2680.8
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
2678.5
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
2661.7
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
2652.5
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
2645.0
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
2637.0
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
2631.0
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
2630.9
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
2628.1
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
2609.8
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
2594.9
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
2593.3
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
2589.5
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
2581.5
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
2573.2
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
2568.3
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
2556.7
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
2541.8
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
2533.6
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
2527.2
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
2525.9
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
2520.0
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
2507.7
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
2498.4
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
2491.4
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
2480.4
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
2434.7
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
2416.9
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
2416.2
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
2408.7
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
2402.6
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
2399.5
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
2389.9
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
2389.1
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
2375.4
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
2348.1
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
2310.6
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
2301.8
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
2297.6
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
2296.1
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
2281.4
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
2274.1
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
2270.5
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
2267.6
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
2261.1
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
2260.7
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
2215.9
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
2214.9
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
2214.5
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
2205.0
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
2194.0
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
2190.8
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
2183.7
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
2182.8
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
2159.4
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
2157.9
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
2154.5
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
2144.4
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
2144.1
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
2142.5
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
2120.1
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
2108.0
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
2097.2
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
2093.3
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
2065.0
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
2062.0
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
2047.7
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
2042.9
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
2016.9
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
2004.6
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
1996.4
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
1996.1
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
1989.0
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
1984.3
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
1976.7
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
1974.4
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
1969.8
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
1967.4
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
1941.5
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
1924.0
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
1903.6
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
1899.7
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
1892.9
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
1890.8
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
1878.0
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
1877.2
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
1866.8
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
1850.2
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
1837.1
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
1834.6
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
1827.4
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
1811.8
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
1803.1
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
1788.5
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
1787.0
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
1757.6
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
1733.3
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
1727.4
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
1705.9
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
1693.4
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
1687.3
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
1670.5
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
1668.2
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
1668.0
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
1665.3
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
1659.4
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
1655.6
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
1617.4
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
1609.2
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
1607.3
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
1594.1
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
1589.4
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
1588.3
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
1580.7
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
1574.2
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
1573.7
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
1569.6
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
1561.1
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
1544.9
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
1540.6
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
1512.0
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
1503.8
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
1494.8
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
1487.6
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
1477.2
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
1472.4
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
1463.5
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
1460.5
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
1439.6
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
1401.3
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
1337.8
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
1323.6
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
1317.9
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
1292.3
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
1265.9
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
1261.0
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
1220.7
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
1085.9
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
997.8
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
994.9
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
958.1
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 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.
RPS21 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
3243.7
Number of samples
81
Samples
Sample
Description
pTPM
DO46356
68 years, female, NA, stage:III, dead, 911 days
11221.1
DO46390
65 years, female, NA, stage:III, dead, 374 days
10124.7
DO46333
58 years, female, NA, stage:III, dead, 359 days
9467.2
DO46576
75 years, female, NA, stage:III, alive, 133 days
7681.5
DO46561
52 years, female, NA, stage:III, dead, 195 days
6450.6
DO46611
52 years, female, NA, stage:III, dead, 734 days
6307.4
DO46366
65 years, female, NA, stage:III, dead, 2054 days
6175.6
DO46586
55 years, female, NA, stage:III, dead, 1019 days
5639.5
DO46370
54 years, female, NA, stage:III, dead, 1727 days
5623.5
DO46463
49 years, female, NA, stage:III, dead, 2451 days
5205.2
DO46453
66 years, female, NA, stage:III, dead, 3294 days
5198.2
DO46330
60 years, female, NA, stage:III, dead, 684 days
4984.1
DO46538
57 years, female, NA, stage:III, dead, 1527 days
4714.7
DO46331
72 years, female, NA, stage:III, dead, 612 days
4551.4
DO46384
55 years, female, NA, stage:III, dead, 614 days
4482.7
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
4334.1
DO46364
45 years, female, NA, stage:III, dead, 806 days
4264.7
DO46581
66 years, female, NA, stage:III, dead, 408 days
4230.6
DO46568
66 years, female, NA, stage:III, dead, 320 days
4031.2
DO46328
52 years, female, NA, stage:III, dead, 972 days
3925.3
DO46325
54 years, female, NA, stage:III, dead, 477 days
3892.2
DO46338
59 years, female, NA, stage:III, dead, 596 days
3755.2
DO46468
67 years, female, NA, stage:III, alive, 2776 days
3735.9
DO46400
70 years, female, NA, stage:III, dead, 719 days
3707.2
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
3658.7
DO46402
77 years, female, NA, stage:III, dead, 511 days
3563.1
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
3551.1
DO46392
48 years, female, NA, stage:III, dead, 628 days
3394.4
DO46382
62 years, female, NA, stage:IV, dead, 311 days
3316.0
DO46566
78 years, female, NA, stage:III, dead, 673 days
3297.8
DO46372
39 years, female, NA, stage:III, dead, 1326 days
2999.6
DO46376
58 years, female, NA, stage:III, dead, 1430 days
2996.3
DO46533
46 years, female, NA, stage:III, alive, 3667 days
2968.6
DO46591
58 years, female, NA, stage:III, dead, 195 days
2966.9
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
2958.1
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
2952.3
DO46518
62 years, female, NA, stage:III, alive, 2960 days
2902.7
DO46588
74 years, female, NA, stage:III, dead, 438 days
2831.3
DO46362
61 years, female, NA, stage:III, dead, 1639 days
2795.3
DO46597
60 years, female, NA, stage:III, dead, 393 days
2667.6
DO46326
51 years, female, NA, stage:III, dead, 701 days
2663.3
DO46386
49 years, female, NA, stage:III, dead, 1162 days
2660.4
DO46334
77 years, female, NA, stage:III, dead, 496 days
2654.5
DO46443
59 years, female, NA, stage:III, dead, 2464 days
2647.2
DO46551
58 years, female, NA, stage:III, dead, 1055 days
2568.5
DO46358
60 years, female, NA, stage:III, dead, 423 days
2560.0
DO46493
62 years, female, NA, stage:IV, alive, 839 days
2485.7
DO46342
67 years, female, NA, stage:III, dead, 1398 days
2464.6
DO46344
46 years, female, NA, stage:III, dead, 642 days
2318.6
DO46354
73 years, female, NA, stage:III, dead, 843 days
2301.3
DO46404
55 years, female, NA, stage:III, dead, 690 days
2241.7
DO46388
74 years, female, NA, stage:III, dead, 413 days
2238.5
DO46352
60 years, female, NA, stage:III, dead, 677 days
2231.5
DO46408
56 years, female, NA, stage:III, dead, 489 days
2192.4
DO46448
45 years, female, NA, stage:III, dead, 654 days
2164.6
DO46528
56 years, female, NA, stage:III, alive, 6139 days
2155.6
DO46432
56 years, female, NA, stage:III, alive, 2218 days
2142.4
DO46412
64 years, female, NA, stage:III, dead, 597 days
2139.1
DO46398
66 years, female, NA, stage:III, alive, 437 days
2066.8
DO46508
50 years, female, NA, stage:III, dead, 2101 days
2046.3
DO46348
58 years, female, NA, stage:IV, dead, 287 days
2039.2
DO46350
66 years, female, NA, stage:III, dead, 886 days
2036.4
DO46378
59 years, female, NA, stage:III, alive, 843 days
1970.9
DO46346
54 years, female, NA, stage:III, dead, 1187 days
1917.7
DO46380
51 years, female, NA, stage:III, dead, 1423 days
1900.0
DO46368
57 years, female, NA, stage:III, dead, 2879 days
1794.9
DO46560
45 years, female, NA, stage:IV, dead, 286 days
1793.3
DO46546
73 years, female, NA, stage:III, dead, 1889 days
1761.0
DO46374
69 years, female, NA, stage:III, dead, 1409 days
1662.1
DO46396
64 years, female, NA, stage:III, dead, 583 days
1637.9
DO46329
52 years, female, NA, stage:III, dead, 1699 days
1559.4
DO46571
61 years, female, NA, stage:III, dead, 243 days
1463.2
DO46602
74 years, female, NA, stage:III, dead, 205 days
1441.0
DO46336
70 years, female, NA, stage:IV, dead, 664 days
1352.2
DO46606
73 years, female, NA, stage:III, alive, 804 days
1208.8
DO46332
56 years, female, NA, stage:III, dead, 689 days
1201.1
DO46340
62 years, female, NA, stage:III, dead, 616 days
1172.1
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
1154.5
DO46327
54 years, female, NA, stage:III, dead, 184 days
1094.1
DO46436
58 years, female, NA, stage:III, alive, 3193 days
1079.5
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
1035.5
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
1.2
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
1.2
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
1.0
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
1.0
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
0.9
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
0.9
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
0.9
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
0.8
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
0.8
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
0.8
15524912-685a-47ce-a824-567848_D2
Tumor
0.8
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
0.8
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
0.8
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
0.8
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
0.8
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
0.8
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
0.7
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
0.7
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
0.7
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
0.7
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
0.7
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
0.7
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
0.7
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
0.6
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
0.6
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
0.6
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
0.6
285fed94-1495-448e-879b-b55de9_D2
Tumor
0.6
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
0.6
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
0.6
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
0.6
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
0.6
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
0.5
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
0.5
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
0.5
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
0.5
161317f3-1a39-438e-af45-cd2502_D2
Tumor
0.5
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
0.5
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
0.5
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
0.5
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
0.5
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
0.5
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
0.5
340a3769-3031-41ae-bb08-a2f696_D2
Normal
0.5
1772e913-f62e-446a-8cf3-720348_D2
Tumor
0.5
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
0.5
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
0.5
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
0.5
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
0.4
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
0.4
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
0.4
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
0.4
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
0.4
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
0.4
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
0.4
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
0.4
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
0.4
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
0.4
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
0.3
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
0.3
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
0.3
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
0.3
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
0.3
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
0.2
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
0.2
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
0.2
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
0.2
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
0.2
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
0.2
e9d416e7-f661-400a-896e-388545_D2
Tumor
0.2
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
0.2
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
0.1
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
0.1
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
0.1
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
0.1
10c2d629-0287-4511-ac25-f29031_D2
Tumor
0.1
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
0.1
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
0.1
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
0.0
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
0.0
1a10c200-3895-4648-b951-94f99f_D2
Tumor
0.0
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
0.0
2f901c90-617e-46da-9fac-d68369_D2
Tumor
-0.1
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
-0.1
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
-0.1
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
-0.1
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
-0.1
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
-0.2
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
-0.2
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
-0.3
a65d8e76-640f-4341-a561-afbb57_D2
Normal
-0.3
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
-0.3
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
-0.3
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-0.3
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-0.4
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
-0.4
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
-0.4
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
-0.4
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
-0.5
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
-0.5
a3a26070-fb84-406a-8280-d555e6_D2
Normal
-0.5
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-0.5
1db5574d-aca7-403c-8100-6e705f_D2
Normal
-0.6
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
-0.6
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
-0.6
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
-0.7
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
-0.9
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
-1.4
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
