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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.
RPL12 is potential prognostic, high expression is unfavorable 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
3086.3
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
8581.7
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
7823.8
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
7644.4
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
7427.1
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
7408.9
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
6948.0
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
6757.7
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
6572.3
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
6527.6
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
6449.3
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
6391.8
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
6387.5
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
6216.8
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
5881.9
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
5849.4
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
5812.9
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
5731.8
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
5723.3
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
5719.8
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
5635.5
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
5600.2
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
5505.6
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
5461.2
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
5424.6
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
5407.6
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
5371.0
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
5317.8
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
5290.5
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
5259.4
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
5229.8
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
5226.9
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
5200.0
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
5083.4
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
4963.9
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
4956.9
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
4920.9
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
4871.1
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
4867.9
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
4778.5
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
4721.4
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
4604.3
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
4554.4
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
4552.9
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
4522.8
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
4506.3
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
4486.9
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
4466.1
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
4427.9
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
4426.0
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
4396.9
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
4383.9
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
4356.5
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
4342.8
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
4279.7
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
4261.6
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
4226.4
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
4223.7
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
4219.9
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
4166.6
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
4156.6
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
4144.5
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
4133.8
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
4124.9
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
4119.6
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
4108.5
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
4076.0
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
4068.9
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
4040.3
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
4040.3
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
4033.1
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
4013.2
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
3998.1
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
3975.7
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
3975.2
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
3928.9
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
3895.0
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
3857.1
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
3848.1
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
3837.9
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
3814.1
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
3792.5
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
3782.1
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
3780.1
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
3779.8
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
3743.5
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
3742.5
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
3741.6
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
3684.4
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
3677.2
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
3666.9
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
3664.1
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
3601.0
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
3588.3
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
3578.9
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
3567.8
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
3559.9
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
3558.2
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
3556.9
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
3544.2
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
3542.9
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
3536.9
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
3529.7
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
3520.7
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
3517.7
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
3475.2
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
3443.7
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
3443.4
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
3440.9
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
3401.1
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
3398.6
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
3377.7
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
3374.6
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
3373.1
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
3363.4
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
3355.6
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
3345.8
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
3341.9
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
3333.4
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
3328.5
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
3325.4
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
3322.8
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
3320.6
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
3317.9
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
3315.7
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
3311.4
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
3306.0
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
3296.1
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
3293.0
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
3290.3
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
3248.3
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
3244.4
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
3237.9
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
3231.7
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
3227.9
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
3224.7
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
3188.6
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
3177.0
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
3175.2
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
3157.9
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
3144.1
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
3143.0
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
3129.9
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
3117.2
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
3105.8
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
3105.5
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
3075.6
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
3070.4
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
3063.5
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
3062.7
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
3061.4
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
3050.8
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
3043.4
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
3043.0
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
3026.0
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
3019.2
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
3012.4
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
3004.1
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
3001.9
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
2988.1
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
2980.6
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
2971.4
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
2958.7
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
2957.5
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
2943.0
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
2917.1
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
2910.0
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
2907.6
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
2902.3
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
2880.1
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
2870.2
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
2862.7
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
2850.5
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
2833.4
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
2828.2
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
2827.9
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
2825.1
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
2821.9
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
2809.3
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
2784.3
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
2779.1
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
2771.6
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
2752.9
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
2750.4
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
2748.9
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
2745.9
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
2732.9
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
2729.3
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
2721.5
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
2720.1
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
2712.3
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
2700.3
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
2693.6
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
2689.8
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
2684.9
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
2657.9
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
2656.3
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
2650.2
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
2649.0
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
2646.7
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
2630.9
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
2630.8
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
2624.4
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
2624.0
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
2612.3
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
2606.5
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
2602.7
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
2598.5
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
2598.4
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
2594.9
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
2536.2
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
2527.4
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
2523.7
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
2509.7
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
2504.8
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
2500.8
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
2497.7
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
2496.8
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
2494.0
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
2490.8
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
2479.7
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
2466.2
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
2448.8
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
2443.1
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
2440.2
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
2434.1
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
2416.9
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
2394.1
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
2384.2
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
2365.1
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
2358.6
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
2356.8
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
2349.0
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
2342.7
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
2341.9
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
2336.3
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
2328.6
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
2322.7
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
2301.1
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
2295.3
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
2271.1
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
2268.9
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
2268.8
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
2266.2
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
2256.2
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
2241.2
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
2223.8
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
2217.8
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
2194.3
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
2187.4
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
2182.3
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
2164.8
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
2164.5
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
2153.3
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
2151.9
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
2128.2
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
2119.9
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
2119.6
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
2118.6
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
2118.4
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
2106.5
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
2102.4
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
2099.8
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
2099.0
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
2096.3
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
2086.6
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
2085.8
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
2075.1
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
2065.2
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
2057.0
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
2042.7
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
2039.9
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
2030.1
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
2029.2
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
2018.2
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
1999.5
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
1985.5
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
1985.1
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
1978.6
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
1974.7
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
1964.7
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
1959.2
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
1956.5
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
1952.0
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
1949.8
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
1944.5
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
1939.3
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
1933.1
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
1926.8
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
1913.9
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
1902.0
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
1894.5
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
1884.0
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
1881.6
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
1881.6
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
1878.2
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
1875.3
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
1873.6
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
1870.0
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
1857.5
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
1818.3
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
1815.4
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
1813.4
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
1783.9
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
1780.4
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
1780.1
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
1778.1
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
1771.6
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
1746.0
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
1741.1
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
1736.4
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
1728.2
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
1713.1
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
1688.2
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
1660.4
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
1659.6
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
1650.4
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
1650.2
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
1649.6
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
1649.3
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
1637.2
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
1636.2
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
1634.3
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
1616.5
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
1606.5
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
1573.1
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
1569.8
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
1551.7
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
1548.6
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
1546.7
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
1542.0
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
1506.2
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
1486.8
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
1465.2
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
1456.4
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
1400.2
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
1399.0
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
1377.6
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
1365.3
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
1362.4
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
1315.8
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
1288.7
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
1235.1
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
1226.0
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
1169.4
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
1168.2
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
1144.0
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
1125.9
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
943.4
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPL12 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
2533.0
Number of samples
81
Samples
Sample
Description
pTPM
DO46326
51 years, female, NA, stage:III, dead, 701 days
4682.3
DO46333
58 years, female, NA, stage:III, dead, 359 days
4625.3
DO46611
52 years, female, NA, stage:III, dead, 734 days
4260.9
DO46546
73 years, female, NA, stage:III, dead, 1889 days
4224.0
DO46338
59 years, female, NA, stage:III, dead, 596 days
4147.7
DO46568
66 years, female, NA, stage:III, dead, 320 days
4047.3
DO46463
49 years, female, NA, stage:III, dead, 2451 days
4019.1
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
3994.4
DO46364
45 years, female, NA, stage:III, dead, 806 days
3760.5
DO46408
56 years, female, NA, stage:III, dead, 489 days
3690.5
DO46561
52 years, female, NA, stage:III, dead, 195 days
3690.2
DO46538
57 years, female, NA, stage:III, dead, 1527 days
3627.6
DO46402
77 years, female, NA, stage:III, dead, 511 days
3488.9
DO46356
68 years, female, NA, stage:III, dead, 911 days
3482.9
DO46376
58 years, female, NA, stage:III, dead, 1430 days
3411.6
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
3390.1
DO46404
55 years, female, NA, stage:III, dead, 690 days
3342.9
DO46591
58 years, female, NA, stage:III, dead, 195 days
3338.6
DO46551
58 years, female, NA, stage:III, dead, 1055 days
3298.4
DO46581
66 years, female, NA, stage:III, dead, 408 days
3283.6
DO46518
62 years, female, NA, stage:III, alive, 2960 days
3275.4
DO46533
46 years, female, NA, stage:III, alive, 3667 days
3243.1
DO46331
72 years, female, NA, stage:III, dead, 612 days
3218.5
DO46366
65 years, female, NA, stage:III, dead, 2054 days
3072.7
DO46370
54 years, female, NA, stage:III, dead, 1727 days
3067.2
DO46493
62 years, female, NA, stage:IV, alive, 839 days
3065.9
DO46328
52 years, female, NA, stage:III, dead, 972 days
2992.6
DO46392
48 years, female, NA, stage:III, dead, 628 days
2963.0
DO46380
51 years, female, NA, stage:III, dead, 1423 days
2950.3
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
2910.7
DO46342
67 years, female, NA, stage:III, dead, 1398 days
2857.4
DO46384
55 years, female, NA, stage:III, dead, 614 days
2818.1
DO46576
75 years, female, NA, stage:III, alive, 133 days
2817.2
DO46340
62 years, female, NA, stage:III, dead, 616 days
2793.9
DO46453
66 years, female, NA, stage:III, dead, 3294 days
2717.8
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
2703.1
DO46390
65 years, female, NA, stage:III, dead, 374 days
2672.3
DO46362
61 years, female, NA, stage:III, dead, 1639 days
2653.1
DO46597
60 years, female, NA, stage:III, dead, 393 days
2481.6
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
2459.2
DO46344
46 years, female, NA, stage:III, dead, 642 days
2334.9
DO46606
73 years, female, NA, stage:III, alive, 804 days
2320.4
DO46325
54 years, female, NA, stage:III, dead, 477 days
2311.6
DO46354
73 years, female, NA, stage:III, dead, 843 days
2302.7
DO46508
50 years, female, NA, stage:III, dead, 2101 days
2286.2
DO46586
55 years, female, NA, stage:III, dead, 1019 days
2216.5
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
2191.7
DO46336
70 years, female, NA, stage:IV, dead, 664 days
2140.9
DO46386
49 years, female, NA, stage:III, dead, 1162 days
2136.5
DO46330
60 years, female, NA, stage:III, dead, 684 days
2067.6
DO46334
77 years, female, NA, stage:III, dead, 496 days
2064.6
DO46443
59 years, female, NA, stage:III, dead, 2464 days
2040.4
DO46412
64 years, female, NA, stage:III, dead, 597 days
2009.7
DO46352
60 years, female, NA, stage:III, dead, 677 days
1981.8
DO46346
54 years, female, NA, stage:III, dead, 1187 days
1978.4
DO46388
74 years, female, NA, stage:III, dead, 413 days
1900.6
DO46372
39 years, female, NA, stage:III, dead, 1326 days
1869.9
DO46398
66 years, female, NA, stage:III, alive, 437 days
1866.8
DO46436
58 years, female, NA, stage:III, alive, 3193 days
1850.9
DO46588
74 years, female, NA, stage:III, dead, 438 days
1830.8
DO46528
56 years, female, NA, stage:III, alive, 6139 days
1736.1
DO46602
74 years, female, NA, stage:III, dead, 205 days
1725.0
DO46358
60 years, female, NA, stage:III, dead, 423 days
1682.8
DO46378
59 years, female, NA, stage:III, alive, 843 days
1670.5
DO46571
61 years, female, NA, stage:III, dead, 243 days
1654.8
DO46348
58 years, female, NA, stage:IV, dead, 287 days
1621.3
DO46468
67 years, female, NA, stage:III, alive, 2776 days
1597.0
DO46566
78 years, female, NA, stage:III, dead, 673 days
1561.6
DO46350
66 years, female, NA, stage:III, dead, 886 days
1481.1
DO46396
64 years, female, NA, stage:III, dead, 583 days
1452.8
DO46382
62 years, female, NA, stage:IV, dead, 311 days
1450.9
DO46332
56 years, female, NA, stage:III, dead, 689 days
1428.9
DO46400
70 years, female, NA, stage:III, dead, 719 days
1426.9
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
1317.8
DO46560
45 years, female, NA, stage:IV, dead, 286 days
1293.6
DO46368
57 years, female, NA, stage:III, dead, 2879 days
1264.7
DO46327
54 years, female, NA, stage:III, dead, 184 days
1206.1
DO46329
52 years, female, NA, stage:III, dead, 1699 days
1197.8
DO46432
56 years, female, NA, stage:III, alive, 2218 days
1189.5
DO46374
69 years, female, NA, stage:III, dead, 1409 days
1126.2
DO46448
45 years, female, NA, stage:III, dead, 654 days
847.7
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
0.7
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
0.7
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
0.7
285fed94-1495-448e-879b-b55de9_D2
Tumor
0.6
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
0.6
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
0.6
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
0.6
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
0.6
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
0.5
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
0.5
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
0.5
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
0.5
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
0.5
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
0.5
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
0.4
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
0.4
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
0.4
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
0.4
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
0.4
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
0.4
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
0.4
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
0.4
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
0.4
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
0.4
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
0.4
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
0.3
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
0.3
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
0.3
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
0.3
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
0.3
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
0.3
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
0.3
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
0.3
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
0.3
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
0.3
e9d416e7-f661-400a-896e-388545_D2
Tumor
0.3
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
0.3
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
0.3
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
0.3
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
0.2
161317f3-1a39-438e-af45-cd2502_D2
Tumor
0.2
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
0.2
15524912-685a-47ce-a824-567848_D2
Tumor
0.2
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
0.2
10c2d629-0287-4511-ac25-f29031_D2
Tumor
0.2
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
0.2
2f901c90-617e-46da-9fac-d68369_D2
Tumor
0.2
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
0.2
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
0.2
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
0.2
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
0.2
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
0.1
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
0.1
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
0.1
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
0.1
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
0.1
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
0.1
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
0.1
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
0.1
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
0.1
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
0.1
340a3769-3031-41ae-bb08-a2f696_D2
Normal
0.1
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
0.1
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
0.1
a3a26070-fb84-406a-8280-d555e6_D2
Normal
0.0
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
0.0
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
0.0
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
0.0
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
0.0
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
0.0
1a10c200-3895-4648-b951-94f99f_D2
Tumor
0.0
1772e913-f62e-446a-8cf3-720348_D2
Tumor
0.0
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
0.0
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
-0.1
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
-0.1
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
-0.1
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
-0.1
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
-0.1
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
-0.1
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
-0.1
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
-0.1
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
-0.1
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
-0.1
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
-0.1
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
-0.1
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
-0.1
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
-0.2
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
-0.2
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
-0.2
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
-0.2
1db5574d-aca7-403c-8100-6e705f_D2
Normal
-0.3
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
-0.3
a65d8e76-640f-4341-a561-afbb57_D2
Normal
-0.3
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
-0.3
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-0.3
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
-0.3
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-0.3
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
-0.3
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
-0.3
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
-0.3
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
-0.3
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
-0.3
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
-0.3
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
-0.3
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
-0.4
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
-0.5
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-0.5
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
-0.8
Show allShow less
OVARIAN CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
