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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 TPM
2735.5
Number of samples
349
Samples
Sample
Description
TPM
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
10790.6
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
8889.9
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
8440.6
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
7896.5
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
7705.5
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
7475.0
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
7121.5
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
6714.0
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
6634.7
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
6293.3
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
6063.4
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
5995.3
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
5977.3
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
5929.6
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
5752.3
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
5695.1
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
5670.5
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
5596.9
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
5545.3
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
5510.2
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
5486.9
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
5379.3
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
5309.6
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
5272.2
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
5251.2
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
5239.5
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
5106.1
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
5050.5
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
4994.2
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
4967.0
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
4953.5
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
4850.3
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
4831.9
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
4792.3
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
4783.9
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
4758.3
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
4712.7
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
4679.9
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
4648.4
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
4591.5
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
4589.3
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
4494.6
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
4484.0
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
4479.1
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
4443.4
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
4438.2
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
4426.5
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
4422.2
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
4394.7
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
4387.6
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
4324.1
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
4257.0
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
4251.8
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
4173.8
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
4114.2
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
4088.2
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
4073.1
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
3992.0
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
3987.2
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
3908.1
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
3906.3
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
3834.3
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
3811.8
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
3729.4
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
3724.8
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
3708.7
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
3696.8
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
3695.4
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
3636.3
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
3591.0
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
3587.0
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
3556.6
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
3539.2
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
3513.9
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
3462.6
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
3391.7
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
3368.3
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
3366.8
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
3345.4
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
3337.2
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
3330.2
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
3294.8
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
3287.3
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
3228.0
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
3222.4
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
3200.8
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
3191.8
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
3186.9
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
3165.0
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
3164.5
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
3157.3
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
3156.4
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
3151.9
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
3149.5
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
3142.9
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
3140.6
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
3127.6
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
3126.5
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
3047.0
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
3037.0
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
3027.1
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
3026.8
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
3004.7
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
2990.6
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
2989.4
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
2984.4
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
2982.6
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
2978.3
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
2976.3
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
2966.8
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
2964.8
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
2940.0
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
2934.7
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
2910.5
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
2906.3
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
2888.9
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
2878.4
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
2877.0
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
2876.5
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
2872.0
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
2868.8
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
2867.3
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
2845.5
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
2843.1
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
2814.0
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
2809.2
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
2806.3
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
2801.7
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
2784.7
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
2775.9
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
2772.1
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
2770.0
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
2769.6
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
2765.0
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
2764.5
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
2746.1
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
2739.4
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
2731.5
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
2719.5
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
2714.6
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
2709.0
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
2689.2
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
2680.0
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
2660.2
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
2651.3
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
2644.5
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
2639.8
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
2611.2
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
2605.7
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
2581.1
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
2575.8
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
2569.5
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
2561.5
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
2545.5
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
2542.8
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
2528.8
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
2527.6
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
2512.5
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
2505.3
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
2488.3
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
2475.3
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
2467.8
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
2461.5
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
2450.5
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
2445.5
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
2442.4
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
2442.2
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
2435.3
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
2402.8
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
2395.3
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
2388.5
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
2382.2
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
2374.2
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
2372.5
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
2365.3
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
2362.7
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
2357.4
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
2335.1
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
2332.5
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
2327.4
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
2325.8
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
2324.2
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
2322.4
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
2319.2
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
2306.9
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
2302.8
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
2299.7
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
2290.3
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
2257.2
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
2251.2
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
2238.7
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
2225.7
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
2216.7
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
2201.5
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
2193.7
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
2173.7
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
2152.7
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
2150.8
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
2149.9
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
2142.3
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
2134.3
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
2128.5
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
2120.6
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
2118.7
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
2109.1
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
2092.9
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
2087.7
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
2086.1
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
2075.2
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
2074.7
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
2067.9
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
2064.9
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
2055.5
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
2044.3
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
2042.6
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
2025.0
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
2023.9
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
2023.0
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
2022.4
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
2014.1
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
2005.4
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
2003.5
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
2000.6
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
1999.7
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
1995.8
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
1989.0
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
1979.9
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
1978.1
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
1964.7
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
1964.6
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
1961.1
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
1951.5
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
1947.6
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
1937.2
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
1934.6
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
1932.9
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
1917.5
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
1914.0
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
1905.9
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
1895.5
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
1885.8
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
1883.4
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
1879.0
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
1872.9
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
1871.2
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
1866.2
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
1849.5
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
1847.0
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
1846.5
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
1845.5
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
1841.3
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
1837.9
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
1836.2
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
1826.0
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
1824.5
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
1789.2
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
1783.8
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
1777.3
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
1764.9
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
1763.4
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
1750.3
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
1745.2
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
1739.8
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
1727.4
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
1714.3
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
1712.9
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
1710.7
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
1692.2
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
1689.0
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
1652.3
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
1647.8
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
1634.5
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
1603.6
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
1600.6
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
1588.5
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
1584.1
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
1563.4
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
1563.1
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
1546.0
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
1529.9
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
1524.2
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
1521.4
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
1521.0
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
1518.2
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
1512.5
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
1504.2
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
1501.5
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
1499.6
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
1495.9
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
1490.5
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
1480.0
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
1460.3
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
1459.7
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
1457.7
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
1454.3
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
1449.2
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
1445.7
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
1442.5
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
1435.3
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
1417.3
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
1410.6
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
1402.9
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
1395.1
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
1394.1
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
1393.9
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
1388.1
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
1381.4
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
1373.4
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
1370.0
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
1367.0
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
1356.0
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
1343.9
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
1322.3
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
1311.3
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
1305.3
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
1304.6
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
1297.8
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
1289.6
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
1287.1
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
1285.7
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
1284.7
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
1282.6
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
1282.3
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
1279.5
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
1278.8
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
1278.2
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
1268.5
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
1255.4
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
1232.2
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
1209.9
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
1202.7
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
1201.6
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
1199.8
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
1196.6
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
1158.7
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
1155.8
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
1147.9
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
1139.7
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
1118.3
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
1107.7
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
1033.9
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
1026.7
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
999.0
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
946.9
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
906.8
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
853.8
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
789.3
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
757.0
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 TPM
1815.6
Number of samples
81
Samples
Sample
Description
TPM
DO46576
75 years, female, NA, stage:III, alive, 133 days
5487.1
DO46390
65 years, female, NA, stage:III, dead, 374 days
3840.9
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
3552.8
DO46356
68 years, female, NA, stage:III, dead, 911 days
3524.4
DO46591
58 years, female, NA, stage:III, dead, 195 days
3315.2
DO46561
52 years, female, NA, stage:III, dead, 195 days
3271.2
DO46366
65 years, female, NA, stage:III, dead, 2054 days
3227.1
DO46568
66 years, female, NA, stage:III, dead, 320 days
3091.5
DO46581
66 years, female, NA, stage:III, dead, 408 days
2988.6
DO46551
58 years, female, NA, stage:III, dead, 1055 days
2758.4
DO46453
66 years, female, NA, stage:III, dead, 3294 days
2721.4
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
2650.8
DO46392
48 years, female, NA, stage:III, dead, 628 days
2630.5
DO46370
54 years, female, NA, stage:III, dead, 1727 days
2616.2
DO46611
52 years, female, NA, stage:III, dead, 734 days
2613.9
DO46402
77 years, female, NA, stage:III, dead, 511 days
2534.1
DO46333
58 years, female, NA, stage:III, dead, 359 days
2448.1
DO46342
67 years, female, NA, stage:III, dead, 1398 days
2387.6
DO46384
55 years, female, NA, stage:III, dead, 614 days
2276.9
DO46350
66 years, female, NA, stage:III, dead, 886 days
2220.3
DO46328
52 years, female, NA, stage:III, dead, 972 days
2212.3
DO46408
56 years, female, NA, stage:III, dead, 489 days
2196.5
DO46586
55 years, female, NA, stage:III, dead, 1019 days
2183.2
DO46443
59 years, female, NA, stage:III, dead, 2464 days
2148.7
DO46325
54 years, female, NA, stage:III, dead, 477 days
2050.9
DO46388
74 years, female, NA, stage:III, dead, 413 days
2048.7
DO46358
60 years, female, NA, stage:III, dead, 423 days
2047.9
DO46493
62 years, female, NA, stage:IV, alive, 839 days
1916.6
DO46334
77 years, female, NA, stage:III, dead, 496 days
1908.0
DO46380
51 years, female, NA, stage:III, dead, 1423 days
1890.5
DO46326
51 years, female, NA, stage:III, dead, 701 days
1888.0
DO46400
70 years, female, NA, stage:III, dead, 719 days
1842.9
DO46368
57 years, female, NA, stage:III, dead, 2879 days
1842.3
DO46538
57 years, female, NA, stage:III, dead, 1527 days
1833.3
DO46463
49 years, female, NA, stage:III, dead, 2451 days
1799.0
DO46602
74 years, female, NA, stage:III, dead, 205 days
1760.5
DO46398
66 years, female, NA, stage:III, alive, 437 days
1743.8
DO46378
59 years, female, NA, stage:III, alive, 843 days
1683.6
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
1594.9
DO46338
59 years, female, NA, stage:III, dead, 596 days
1593.2
DO46571
61 years, female, NA, stage:III, dead, 243 days
1584.4
DO46412
64 years, female, NA, stage:III, dead, 597 days
1583.6
DO46336
70 years, female, NA, stage:IV, dead, 664 days
1568.5
DO46364
45 years, female, NA, stage:III, dead, 806 days
1562.9
DO46528
56 years, female, NA, stage:III, alive, 6139 days
1510.2
DO46352
60 years, female, NA, stage:III, dead, 677 days
1477.7
DO46566
78 years, female, NA, stage:III, dead, 673 days
1460.0
DO46348
58 years, female, NA, stage:IV, dead, 287 days
1445.7
DO46386
49 years, female, NA, stage:III, dead, 1162 days
1440.0
DO46362
61 years, female, NA, stage:III, dead, 1639 days
1434.3
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
1427.4
DO46508
50 years, female, NA, stage:III, dead, 2101 days
1405.6
DO46372
39 years, female, NA, stage:III, dead, 1326 days
1388.5
DO46448
45 years, female, NA, stage:III, dead, 654 days
1375.9
DO46332
56 years, female, NA, stage:III, dead, 689 days
1360.1
DO46560
45 years, female, NA, stage:IV, dead, 286 days
1293.9
DO46376
58 years, female, NA, stage:III, dead, 1430 days
1288.5
DO46354
73 years, female, NA, stage:III, dead, 843 days
1272.7
DO46432
56 years, female, NA, stage:III, alive, 2218 days
1265.1
DO46404
55 years, female, NA, stage:III, dead, 690 days
1257.8
DO46546
73 years, female, NA, stage:III, dead, 1889 days
1177.5
DO46330
60 years, female, NA, stage:III, dead, 684 days
1165.7
DO46346
54 years, female, NA, stage:III, dead, 1187 days
1160.6
DO46597
60 years, female, NA, stage:III, dead, 393 days
1148.6
DO46436
58 years, female, NA, stage:III, alive, 3193 days
1133.5
DO46533
46 years, female, NA, stage:III, alive, 3667 days
1114.8
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
1105.8
DO46396
64 years, female, NA, stage:III, dead, 583 days
1089.1
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
1079.3
DO46588
74 years, female, NA, stage:III, dead, 438 days
1071.3
DO46331
72 years, female, NA, stage:III, dead, 612 days
1043.8
DO46468
67 years, female, NA, stage:III, alive, 2776 days
1039.3
DO46382
62 years, female, NA, stage:IV, dead, 311 days
1012.0
DO46606
73 years, female, NA, stage:III, alive, 804 days
981.6
DO46344
46 years, female, NA, stage:III, dead, 642 days
969.2
DO46329
52 years, female, NA, stage:III, dead, 1699 days
938.8
DO46340
62 years, female, NA, stage:III, dead, 616 days
740.6
DO46374
69 years, female, NA, stage:III, dead, 1409 days
692.3
DO46327
54 years, female, NA, stage:III, dead, 184 days
611.4
DO46518
62 years, female, NA, stage:III, alive, 2960 days
596.1
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
452.7
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
1.0
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
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
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
