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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.
RPS19 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
3425.2
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
17806.7
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
10721.3
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
8980.7
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
8269.5
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
7967.6
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
7762.3
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
7742.5
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
7721.3
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
7616.6
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
7597.4
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
7584.6
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
7437.1
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
7416.2
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
7294.1
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
7228.0
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
7106.6
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
7085.8
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
7064.6
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
7045.5
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
6996.6
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
6987.6
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
6872.8
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
6709.5
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
6617.4
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
6585.2
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
6426.3
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
6126.5
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
6115.5
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
6109.3
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
6085.4
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
5983.4
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
5932.9
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
5910.1
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
5904.1
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
5894.1
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
5886.9
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
5857.8
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
5743.7
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
5738.5
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
5671.9
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
5620.9
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
5609.0
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
5595.9
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
5581.9
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
5573.0
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
5553.5
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
5549.7
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
5470.7
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
5329.5
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
5253.7
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
5243.1
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
5181.2
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
5128.0
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
5040.4
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
4976.8
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
4958.5
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
4931.0
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
4836.5
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
4815.8
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
4776.6
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
4763.0
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
4759.8
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
4757.0
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
4747.1
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
4747.0
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
4703.3
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
4671.6
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
4658.0
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
4655.4
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
4605.9
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
4597.5
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
4560.3
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
4537.7
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
4471.0
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
4469.2
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
4468.8
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
4463.5
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
4445.3
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
4392.9
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
4385.3
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
4350.6
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
4347.9
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
4325.7
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
4286.7
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
4280.0
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
4275.4
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
4261.6
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
4261.0
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
4249.8
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
4248.0
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
4221.6
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
4203.7
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
4193.2
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
4184.2
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
4181.5
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
4159.6
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
4135.6
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
4102.4
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
4083.8
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
4059.7
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
4034.1
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
4013.9
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
4005.8
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
3992.8
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
3979.6
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
3964.4
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
3952.7
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
3907.3
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
3901.1
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
3900.6
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
3893.4
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
3886.6
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
3856.3
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
3845.2
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
3792.3
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
3745.0
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
3743.5
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
3732.2
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
3731.7
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
3718.6
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
3716.3
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
3709.9
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
3703.7
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
3697.3
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
3669.5
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
3656.9
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
3648.1
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
3600.6
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
3592.9
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
3578.6
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
3551.4
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
3516.4
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
3499.2
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
3489.0
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
3476.6
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
3472.8
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
3450.6
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
3448.4
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
3443.8
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
3435.6
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
3429.8
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
3428.7
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
3426.4
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
3416.4
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
3413.2
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
3388.5
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
3362.8
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
3361.9
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
3361.8
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
3354.8
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
3331.6
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
3305.2
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
3288.2
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
3286.6
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
3274.6
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
3272.2
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
3249.1
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
3241.4
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
3223.9
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
3180.7
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
3155.8
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
3124.2
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
3122.7
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
3117.1
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
3116.1
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
3096.3
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
3085.7
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
3071.2
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
3062.0
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
3027.0
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
2995.7
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
2957.8
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
2937.8
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
2933.2
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
2929.4
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
2927.6
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
2906.2
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
2893.3
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
2891.3
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
2889.3
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
2882.3
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
2869.0
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
2860.2
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
2856.4
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
2853.3
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
2844.0
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
2843.4
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
2829.0
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
2828.6
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
2816.8
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
2799.8
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
2778.7
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
2731.2
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
2727.7
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
2720.6
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
2712.1
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
2710.0
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
2708.6
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
2705.3
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
2694.8
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
2680.4
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
2669.6
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
2649.6
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
2647.9
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
2644.1
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
2643.5
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
2638.1
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
2638.0
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
2628.7
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
2623.5
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
2615.8
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
2608.7
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
2595.9
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
2591.6
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
2586.9
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
2581.5
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
2574.6
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
2573.7
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
2565.5
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
2565.2
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
2559.9
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
2559.6
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
2516.1
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
2515.0
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
2510.2
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
2502.2
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
2498.9
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
2480.2
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
2474.3
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
2470.0
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
2467.6
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
2464.4
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
2441.0
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
2429.7
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
2426.3
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
2406.7
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
2400.9
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
2399.9
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
2397.8
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
2394.0
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
2383.6
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
2381.6
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
2352.5
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
2347.5
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
2340.0
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
2305.5
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
2293.1
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
2292.6
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
2276.3
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
2274.7
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
2262.3
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
2256.7
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
2245.6
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
2242.9
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
2224.9
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
2217.4
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
2179.8
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
2173.4
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
2171.0
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
2169.3
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
2164.9
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
2133.2
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
2121.7
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
2118.1
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
2109.6
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
2105.5
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
2092.6
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
2080.0
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
2059.0
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
2057.2
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
2048.8
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
2034.6
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
2010.6
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
1998.3
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
1993.2
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
1979.5
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
1979.3
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
1956.5
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
1945.8
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
1935.2
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
1928.7
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
1919.7
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
1905.4
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
1903.1
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
1886.6
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
1883.6
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
1882.9
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
1876.4
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
1867.0
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
1865.2
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
1857.9
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
1845.0
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
1839.7
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
1831.8
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
1818.3
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
1810.2
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
1809.9
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
1793.1
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
1789.2
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
1788.0
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
1783.8
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
1755.0
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
1750.3
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
1744.9
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
1732.6
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
1727.6
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
1717.9
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
1717.6
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
1715.2
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
1698.2
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
1689.1
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
1686.9
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
1683.8
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
1676.4
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
1668.9
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
1642.9
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
1625.2
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
1609.9
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
1593.3
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
1576.7
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
1560.9
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
1536.9
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
1498.4
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
1467.2
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
1449.6
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
1442.0
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
1430.0
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
1423.7
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
1410.6
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
1407.6
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
1394.0
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
1370.6
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
1342.2
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
1335.1
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
1326.8
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
1286.4
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
1284.8
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
1178.3
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
1175.4
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
1110.4
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
1095.0
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
1041.5
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
1026.1
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
968.6
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
938.8
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
925.4
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
919.3
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
884.4
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 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.
RPS19 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
3809.4
Number of samples
81
Samples
Sample
Description
pTPM
DO46356
68 years, female, NA, stage:III, dead, 911 days
27695.0
DO46333
58 years, female, NA, stage:III, dead, 359 days
11167.1
DO46611
52 years, female, NA, stage:III, dead, 734 days
10138.0
DO46384
55 years, female, NA, stage:III, dead, 614 days
9144.9
DO46338
59 years, female, NA, stage:III, dead, 596 days
8924.1
DO46331
72 years, female, NA, stage:III, dead, 612 days
8661.3
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
8051.5
DO46576
75 years, female, NA, stage:III, alive, 133 days
7744.9
DO46538
57 years, female, NA, stage:III, dead, 1527 days
7711.7
DO46390
65 years, female, NA, stage:III, dead, 374 days
7692.2
DO46366
65 years, female, NA, stage:III, dead, 2054 days
7689.6
DO46396
64 years, female, NA, stage:III, dead, 583 days
6415.1
DO46591
58 years, female, NA, stage:III, dead, 195 days
5708.1
DO46568
66 years, female, NA, stage:III, dead, 320 days
5380.9
DO46326
51 years, female, NA, stage:III, dead, 701 days
5199.6
DO46602
74 years, female, NA, stage:III, dead, 205 days
4939.5
DO46342
67 years, female, NA, stage:III, dead, 1398 days
4609.7
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
4511.3
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
4310.0
DO46376
58 years, female, NA, stage:III, dead, 1430 days
4178.3
DO46330
60 years, female, NA, stage:III, dead, 684 days
4085.8
DO46493
62 years, female, NA, stage:IV, alive, 839 days
4075.8
DO46408
56 years, female, NA, stage:III, dead, 489 days
3800.3
DO46432
56 years, female, NA, stage:III, alive, 2218 days
3644.0
DO46402
77 years, female, NA, stage:III, dead, 511 days
3610.2
DO46370
54 years, female, NA, stage:III, dead, 1727 days
3538.7
DO46378
59 years, female, NA, stage:III, alive, 843 days
3496.0
DO46508
50 years, female, NA, stage:III, dead, 2101 days
3470.8
DO46561
52 years, female, NA, stage:III, dead, 195 days
3450.9
DO46392
48 years, female, NA, stage:III, dead, 628 days
3414.5
DO46533
46 years, female, NA, stage:III, alive, 3667 days
3351.4
DO46380
51 years, female, NA, stage:III, dead, 1423 days
3281.7
DO46328
52 years, female, NA, stage:III, dead, 972 days
3025.8
DO46354
73 years, female, NA, stage:III, dead, 843 days
3003.9
DO46528
56 years, female, NA, stage:III, alive, 6139 days
2944.6
DO46581
66 years, female, NA, stage:III, dead, 408 days
2899.3
DO46329
52 years, female, NA, stage:III, dead, 1699 days
2897.7
DO46463
49 years, female, NA, stage:III, dead, 2451 days
2800.7
DO46436
58 years, female, NA, stage:III, alive, 3193 days
2756.7
DO46448
45 years, female, NA, stage:III, dead, 654 days
2751.2
DO46334
77 years, female, NA, stage:III, dead, 496 days
2690.2
DO46518
62 years, female, NA, stage:III, alive, 2960 days
2683.9
DO46546
73 years, female, NA, stage:III, dead, 1889 days
2664.0
DO46400
70 years, female, NA, stage:III, dead, 719 days
2641.3
DO46386
49 years, female, NA, stage:III, dead, 1162 days
2619.5
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
2610.5
DO46597
60 years, female, NA, stage:III, dead, 393 days
2589.1
DO46566
78 years, female, NA, stage:III, dead, 673 days
2553.0
DO46453
66 years, female, NA, stage:III, dead, 3294 days
2544.9
DO46372
39 years, female, NA, stage:III, dead, 1326 days
2437.3
DO46368
57 years, female, NA, stage:III, dead, 2879 days
2424.4
DO46362
61 years, female, NA, stage:III, dead, 1639 days
2418.1
DO46588
74 years, female, NA, stage:III, dead, 438 days
2394.5
DO46352
60 years, female, NA, stage:III, dead, 677 days
2390.0
DO46325
54 years, female, NA, stage:III, dead, 477 days
2370.6
DO46586
55 years, female, NA, stage:III, dead, 1019 days
2326.2
DO46388
74 years, female, NA, stage:III, dead, 413 days
2278.3
DO46443
59 years, female, NA, stage:III, dead, 2464 days
2271.7
DO46560
45 years, female, NA, stage:IV, dead, 286 days
2214.8
DO46404
55 years, female, NA, stage:III, dead, 690 days
2173.5
DO46364
45 years, female, NA, stage:III, dead, 806 days
2073.6
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
2021.4
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
1908.4
DO46398
66 years, female, NA, stage:III, alive, 437 days
1892.2
DO46382
62 years, female, NA, stage:IV, dead, 311 days
1884.5
DO46551
58 years, female, NA, stage:III, dead, 1055 days
1821.0
DO46346
54 years, female, NA, stage:III, dead, 1187 days
1810.9
DO46358
60 years, female, NA, stage:III, dead, 423 days
1709.1
DO46332
56 years, female, NA, stage:III, dead, 689 days
1701.1
DO46606
73 years, female, NA, stage:III, alive, 804 days
1644.1
DO46468
67 years, female, NA, stage:III, alive, 2776 days
1596.9
DO46412
64 years, female, NA, stage:III, dead, 597 days
1504.0
DO46374
69 years, female, NA, stage:III, dead, 1409 days
1475.4
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
1443.7
DO46336
70 years, female, NA, stage:IV, dead, 664 days
1351.9
DO46350
66 years, female, NA, stage:III, dead, 886 days
1338.7
DO46348
58 years, female, NA, stage:IV, dead, 287 days
1334.5
DO46571
61 years, female, NA, stage:III, dead, 243 days
1224.6
DO46344
46 years, female, NA, stage:III, dead, 642 days
1214.8
DO46327
54 years, female, NA, stage:III, dead, 184 days
1212.6
DO46340
62 years, female, NA, stage:III, dead, 616 days
934.4
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
0.6
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
0.6
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
0.5
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
0.4
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
0.3
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
0.3
15524912-685a-47ce-a824-567848_D2
Tumor
0.3
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
0.3
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
0.2
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
0.2
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
0.1
10c2d629-0287-4511-ac25-f29031_D2
Tumor
0.1
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
0.0
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
0.0
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
0.0
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
0.0
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
0.0
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
-0.1
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
-0.1
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
-0.1
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
-0.1
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
-0.2
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
-0.2
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
-0.2
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
-0.3
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
-0.3
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
-0.3
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
-0.3
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
-0.3
e9d416e7-f661-400a-896e-388545_D2
Tumor
-0.3
340a3769-3031-41ae-bb08-a2f696_D2
Normal
-0.4
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
-0.4
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
-0.4
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
-0.4
2f901c90-617e-46da-9fac-d68369_D2
Tumor
-0.5
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
-0.5
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
-0.5
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
-0.5
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
-0.5
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
-0.5
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
-0.5
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
-0.5
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
-0.5
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
-0.5
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
-0.5
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
-0.6
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
-0.6
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
-0.6
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
-0.6
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
-0.6
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
-0.6
285fed94-1495-448e-879b-b55de9_D2
Tumor
-0.6
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
-0.6
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
-0.7
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
-0.7
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
-0.7
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
-0.7
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
-0.7
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
-0.7
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
-0.7
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-0.7
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
-0.8
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
-0.8
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
-0.8
a3a26070-fb84-406a-8280-d555e6_D2
Normal
-0.8
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
-0.8
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
-0.8
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
-0.8
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
-0.8
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
-0.8
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
-0.8
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
-0.9
161317f3-1a39-438e-af45-cd2502_D2
Tumor
-0.9
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
-0.9
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
-0.9
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
-0.9
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
-0.9
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
-0.9
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
-0.9
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
-1.0
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
-1.0
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
-1.0
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
-1.0
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
-1.0
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
-1.0
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
-1.0
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
-1.0
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
-1.0
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
-1.1
1772e913-f62e-446a-8cf3-720348_D2
Tumor
-1.1
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
-1.1
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-1.2
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
-1.2
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-1.2
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
-1.2
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
-1.2
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
-1.3
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
-1.3
1a10c200-3895-4648-b951-94f99f_D2
Tumor
-1.3
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
-1.3
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
-1.3
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
-1.4
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
-1.5
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
-1.5
1db5574d-aca7-403c-8100-6e705f_D2
Normal
-1.6
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
-1.7
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
-1.8
a65d8e76-640f-4341-a561-afbb57_D2
Normal
-2.3
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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.