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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.
RPL27 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
3402.2
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
13102.8
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
10968.5
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
10721.7
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
10495.8
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
9792.8
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
9150.7
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
8981.6
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
8767.1
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
8259.1
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
7793.6
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
7767.2
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
7592.0
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
7400.2
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
7293.5
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
7163.3
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
7102.4
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
6815.6
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
6813.8
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
6798.5
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
6788.7
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
6756.6
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
6703.7
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
6687.2
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
6671.7
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
6569.0
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
6551.5
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
6427.4
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
6379.8
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
6344.4
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
6215.8
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
6148.5
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
6135.8
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
6121.9
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
6007.1
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
5921.3
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
5856.0
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
5813.2
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
5763.8
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
5729.6
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
5722.4
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
5680.9
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
5675.7
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
5653.9
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
5645.0
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
5621.9
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
5611.7
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
5594.3
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
5556.1
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
5491.4
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
5436.6
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
5411.3
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
5364.8
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
5360.5
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
5142.0
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
5127.7
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
5075.9
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
4927.4
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
4903.6
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
4831.1
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
4830.0
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
4817.5
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
4675.3
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
4637.3
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
4605.1
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
4562.2
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
4549.3
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
4548.7
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
4531.3
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
4445.7
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
4437.9
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
4431.9
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
4401.9
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
4399.8
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
4382.9
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
4371.3
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
4364.8
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
4303.1
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
4247.6
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
4222.0
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
4215.4
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
4210.3
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
4169.2
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
4151.9
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
4084.8
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
4070.8
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
4059.2
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
4016.5
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
3988.8
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
3979.6
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
3951.5
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
3928.4
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
3892.7
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
3891.6
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
3857.2
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
3838.7
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
3821.9
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
3819.3
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
3815.6
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
3789.8
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
3787.2
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
3783.2
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
3742.2
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
3733.8
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
3719.8
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
3704.6
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
3695.3
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
3666.4
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
3664.5
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
3656.2
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
3602.0
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
3599.6
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
3566.1
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
3552.5
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
3539.2
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
3527.3
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
3522.0
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
3508.0
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
3504.5
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
3483.1
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
3477.2
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
3470.5
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
3450.3
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
3448.3
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
3445.2
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
3436.8
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
3435.0
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
3431.8
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
3426.2
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
3425.6
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
3425.5
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
3413.2
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
3409.4
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
3401.0
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
3373.7
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
3352.0
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
3349.3
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
3340.3
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
3313.5
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
3306.7
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
3303.4
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
3294.1
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
3291.1
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
3275.4
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
3263.2
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
3262.2
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
3259.3
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
3258.0
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
3250.6
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
3244.3
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
3243.3
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
3221.4
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
3206.7
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
3200.4
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
3194.8
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
3172.3
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
3143.8
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
3113.3
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
3106.4
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
3104.9
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
3071.8
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
3066.0
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
3062.5
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
3057.1
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
3055.4
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
3044.5
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
3037.4
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
3032.8
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
3024.5
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
3000.2
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
2999.7
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
2998.3
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
2969.5
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
2965.5
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
2957.8
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
2955.9
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
2944.3
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
2929.2
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
2928.9
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
2894.8
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
2894.3
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
2890.8
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
2883.4
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
2877.4
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
2856.3
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
2853.5
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
2832.3
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
2830.3
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
2824.7
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
2818.9
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
2815.9
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
2811.4
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
2808.8
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
2808.4
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
2804.2
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
2757.7
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
2727.6
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
2723.2
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
2721.5
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
2691.9
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
2689.8
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
2638.4
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
2633.2
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
2625.3
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
2615.6
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
2614.7
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
2606.8
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
2604.2
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
2599.0
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
2596.9
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
2595.5
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
2562.5
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
2556.9
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
2546.9
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
2544.7
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
2525.4
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
2509.0
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
2508.4
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
2505.2
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
2500.9
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
2496.4
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
2492.5
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
2480.9
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
2475.0
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
2474.7
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
2467.6
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
2467.0
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
2457.3
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
2441.8
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
2439.9
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
2427.9
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
2422.9
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
2412.1
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
2385.0
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
2383.8
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
2382.7
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
2372.4
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
2361.4
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
2358.6
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
2352.6
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
2352.0
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
2351.2
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
2340.0
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
2337.7
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
2315.5
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
2315.3
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
2310.7
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
2294.8
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
2286.5
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
2277.8
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
2271.0
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
2270.7
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
2266.3
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
2248.3
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
2240.9
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
2237.5
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
2232.5
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
2232.1
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
2217.8
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
2214.8
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
2208.4
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
2199.1
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
2192.3
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
2182.9
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
2182.6
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
2166.4
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
2159.0
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
2128.9
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
2124.2
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
2114.9
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
2096.6
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
2094.1
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
2083.6
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
2045.5
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
2041.2
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
2034.3
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
2006.2
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
1989.7
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
1976.4
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
1947.3
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
1914.1
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
1898.9
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
1898.5
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
1895.3
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
1884.7
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
1869.6
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
1862.0
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
1859.1
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
1851.7
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
1845.5
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
1844.8
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
1833.9
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
1829.7
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
1829.0
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
1820.8
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
1815.8
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
1815.1
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
1811.4
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
1806.3
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
1798.9
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
1784.8
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
1779.8
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
1758.6
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
1755.8
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
1755.3
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
1741.6
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
1740.7
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
1732.2
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
1711.9
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
1711.4
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
1707.7
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
1679.6
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
1666.5
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
1656.9
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
1649.8
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
1641.3
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
1634.8
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
1625.6
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
1606.6
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
1604.9
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
1604.8
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
1594.6
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
1593.2
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
1587.3
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
1582.3
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
1581.2
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
1580.7
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
1567.8
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
1562.2
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
1532.6
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
1529.0
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
1523.7
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
1515.9
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
1495.8
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
1462.4
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
1447.9
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
1445.1
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
1442.6
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
1440.1
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
1436.9
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
1399.1
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
1339.9
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
1338.8
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
1328.8
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
1192.1
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
1075.5
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
1069.4
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
992.6
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
924.8
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 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.
RPL27 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
1866.1
Number of samples
81
Samples
Sample
Description
pTPM
DO46576
75 years, female, NA, stage:III, alive, 133 days
4468.2
DO46390
65 years, female, NA, stage:III, dead, 374 days
4118.8
DO46561
52 years, female, NA, stage:III, dead, 195 days
3981.4
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
3905.2
DO46568
66 years, female, NA, stage:III, dead, 320 days
3750.7
DO46356
68 years, female, NA, stage:III, dead, 911 days
3490.4
DO46370
54 years, female, NA, stage:III, dead, 1727 days
3068.9
DO46611
52 years, female, NA, stage:III, dead, 734 days
3040.5
DO46581
66 years, female, NA, stage:III, dead, 408 days
2989.2
DO46551
58 years, female, NA, stage:III, dead, 1055 days
2984.9
DO46328
52 years, female, NA, stage:III, dead, 972 days
2844.7
DO46591
58 years, female, NA, stage:III, dead, 195 days
2736.7
DO46408
56 years, female, NA, stage:III, dead, 489 days
2705.4
DO46392
48 years, female, NA, stage:III, dead, 628 days
2578.7
DO46586
55 years, female, NA, stage:III, dead, 1019 days
2566.5
DO46443
59 years, female, NA, stage:III, dead, 2464 days
2536.7
DO46384
55 years, female, NA, stage:III, dead, 614 days
2472.9
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
2429.9
DO46326
51 years, female, NA, stage:III, dead, 701 days
2399.8
DO46402
77 years, female, NA, stage:III, dead, 511 days
2270.9
DO46333
58 years, female, NA, stage:III, dead, 359 days
2209.8
DO46453
66 years, female, NA, stage:III, dead, 3294 days
2204.2
DO46538
57 years, female, NA, stage:III, dead, 1527 days
2190.7
DO46334
77 years, female, NA, stage:III, dead, 496 days
2109.8
DO46366
65 years, female, NA, stage:III, dead, 2054 days
2093.8
DO46400
70 years, female, NA, stage:III, dead, 719 days
2069.6
DO46463
49 years, female, NA, stage:III, dead, 2451 days
2067.9
DO46325
54 years, female, NA, stage:III, dead, 477 days
2045.3
DO46338
59 years, female, NA, stage:III, dead, 596 days
2044.1
DO46388
74 years, female, NA, stage:III, dead, 413 days
2024.3
DO46362
61 years, female, NA, stage:III, dead, 1639 days
2022.5
DO46358
60 years, female, NA, stage:III, dead, 423 days
1919.1
DO46348
58 years, female, NA, stage:IV, dead, 287 days
1837.3
DO46342
67 years, female, NA, stage:III, dead, 1398 days
1803.2
DO46566
78 years, female, NA, stage:III, dead, 673 days
1775.4
DO46378
59 years, female, NA, stage:III, alive, 843 days
1748.9
DO46508
50 years, female, NA, stage:III, dead, 2101 days
1741.4
DO46364
45 years, female, NA, stage:III, dead, 806 days
1739.0
DO46350
66 years, female, NA, stage:III, dead, 886 days
1635.6
DO46404
55 years, female, NA, stage:III, dead, 690 days
1632.8
DO46493
62 years, female, NA, stage:IV, alive, 839 days
1621.4
DO46571
61 years, female, NA, stage:III, dead, 243 days
1615.1
DO46602
74 years, female, NA, stage:III, dead, 205 days
1595.3
DO46398
66 years, female, NA, stage:III, alive, 437 days
1594.8
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
1592.2
DO46368
57 years, female, NA, stage:III, dead, 2879 days
1579.6
DO46533
46 years, female, NA, stage:III, alive, 3667 days
1579.4
DO46336
70 years, female, NA, stage:IV, dead, 664 days
1544.0
DO46528
56 years, female, NA, stage:III, alive, 6139 days
1524.0
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
1523.5
DO46588
74 years, female, NA, stage:III, dead, 438 days
1493.5
DO46330
60 years, female, NA, stage:III, dead, 684 days
1465.8
DO46448
45 years, female, NA, stage:III, dead, 654 days
1436.7
DO46354
73 years, female, NA, stage:III, dead, 843 days
1422.0
DO46346
54 years, female, NA, stage:III, dead, 1187 days
1419.1
DO46332
56 years, female, NA, stage:III, dead, 689 days
1418.6
DO46380
51 years, female, NA, stage:III, dead, 1423 days
1416.7
DO46560
45 years, female, NA, stage:IV, dead, 286 days
1406.7
DO46597
60 years, female, NA, stage:III, dead, 393 days
1349.9
DO46382
62 years, female, NA, stage:IV, dead, 311 days
1326.0
DO46376
58 years, female, NA, stage:III, dead, 1430 days
1321.4
DO46606
73 years, female, NA, stage:III, alive, 804 days
1254.5
DO46386
49 years, female, NA, stage:III, dead, 1162 days
1253.3
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
1217.9
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
1188.6
DO46412
64 years, female, NA, stage:III, dead, 597 days
1152.9
DO46352
60 years, female, NA, stage:III, dead, 677 days
1152.0
DO46396
64 years, female, NA, stage:III, dead, 583 days
1135.2
DO46546
73 years, female, NA, stage:III, dead, 1889 days
1091.4
DO46344
46 years, female, NA, stage:III, dead, 642 days
1081.3
DO46372
39 years, female, NA, stage:III, dead, 1326 days
1068.6
DO46329
52 years, female, NA, stage:III, dead, 1699 days
1013.2
DO46432
56 years, female, NA, stage:III, alive, 2218 days
989.6
DO46468
67 years, female, NA, stage:III, alive, 2776 days
979.0
DO46331
72 years, female, NA, stage:III, dead, 612 days
961.6
DO46436
58 years, female, NA, stage:III, alive, 3193 days
948.5
DO46340
62 years, female, NA, stage:III, dead, 616 days
831.8
DO46327
54 years, female, NA, stage:III, dead, 184 days
729.4
DO46518
62 years, female, NA, stage:III, alive, 2960 days
706.4
DO46374
69 years, female, NA, stage:III, dead, 1409 days
546.0
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
357.1
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OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
1.0
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
1.0
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
0.9
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
0.9
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
0.8
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
0.8
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
0.8
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
0.8
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
0.8
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
0.7
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
0.7
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
0.7
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
0.6
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
0.6
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
0.6
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
0.6
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
0.6
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
0.6
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
0.5
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
0.5
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
0.5
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
0.5
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
0.5
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
0.5
340a3769-3031-41ae-bb08-a2f696_D2
Normal
0.5
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
0.4
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
0.4
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
0.4
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
0.4
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
0.4
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
0.4
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
0.4
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
0.4
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
0.4
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
0.4
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
0.4
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
0.3
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
0.3
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
0.3
285fed94-1495-448e-879b-b55de9_D2
Tumor
0.3
161317f3-1a39-438e-af45-cd2502_D2
Tumor
0.3
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
0.3
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
0.3
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
0.3
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
0.3
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
0.3
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
0.3
15524912-685a-47ce-a824-567848_D2
Tumor
0.3
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
0.3
1772e913-f62e-446a-8cf3-720348_D2
Tumor
0.3
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
0.3
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
0.3
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
0.3
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
0.3
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
0.2
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
0.2
e9d416e7-f661-400a-896e-388545_D2
Tumor
0.2
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
0.2
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
0.2
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
0.2
2f901c90-617e-46da-9fac-d68369_D2
Tumor
0.2
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
0.2
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
0.2
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
0.2
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
0.2
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
0.2
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
0.1
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
0.1
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
0.1
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
0.1
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
0.1
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
0.1
1db5574d-aca7-403c-8100-6e705f_D2
Normal
0.1
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
0.1
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
0.1
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
0.1
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
0.1
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
0.1
10c2d629-0287-4511-ac25-f29031_D2
Tumor
0.1
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
0.1
1a10c200-3895-4648-b951-94f99f_D2
Tumor
0.0
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
0.0
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
0.0
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
0.0
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
0.0
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
0.0
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
0.0
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
0.0
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
0.0
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
-0.1
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
-0.1
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
-0.1
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
-0.1
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
-0.1
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
-0.1
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
-0.1
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
-0.1
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
-0.1
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
-0.1
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
-0.2
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
-0.2
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
-0.2
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
-0.3
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-0.4
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-0.4
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
-0.4
a65d8e76-640f-4341-a561-afbb57_D2
Normal
-0.6
a3a26070-fb84-406a-8280-d555e6_D2
Normal
-0.6
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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.
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
