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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.
RPS7 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
2449.9
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
11112.3
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
8007.8
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
7788.7
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
7033.8
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
6628.1
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
6189.7
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
6027.3
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
5975.6
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
5957.5
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
5948.5
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
5912.3
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
5848.9
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
5770.9
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
5764.5
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
5668.9
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
5463.4
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
5201.0
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
5163.7
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
5035.0
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
4969.3
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
4837.7
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
4807.6
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
4773.0
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
4753.2
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
4604.7
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
4462.4
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
4252.9
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
4229.3
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
4176.3
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
4166.9
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
4143.6
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
4136.5
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
4103.1
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
4014.7
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
3974.7
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
3953.8
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
3876.1
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
3872.8
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
3862.2
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
3846.2
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
3820.8
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
3817.2
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
3803.9
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
3663.3
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
3648.3
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
3645.5
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
3636.5
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
3601.9
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
3597.6
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
3588.2
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
3567.9
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
3562.8
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
3494.2
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
3469.4
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
3463.8
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
3457.0
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
3452.4
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
3439.1
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
3416.5
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
3408.7
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
3398.2
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
3382.9
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
3368.6
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
3361.2
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
3358.6
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
3329.6
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
3292.4
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
3282.4
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
3275.9
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
3271.2
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
3238.5
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
3235.2
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
3224.6
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
3222.4
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
3158.0
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
3156.6
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
3146.0
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
3143.3
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
3137.3
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
3127.7
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
3123.6
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
3093.2
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
3091.0
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
3083.4
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
3074.2
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
3038.1
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
3033.6
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
3000.2
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
2982.7
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
2975.5
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
2966.2
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
2950.4
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
2921.6
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
2895.5
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
2891.7
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
2877.7
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
2846.9
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
2843.5
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
2839.6
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
2829.6
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
2829.6
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
2813.9
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
2812.4
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
2811.0
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
2809.6
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
2794.7
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
2793.3
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
2775.8
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
2768.4
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
2737.5
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
2735.2
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
2731.1
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
2696.8
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
2695.3
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
2684.7
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
2683.1
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
2681.2
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
2681.0
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
2668.6
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
2616.9
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
2603.3
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
2599.5
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
2597.3
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
2588.3
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
2581.9
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
2570.2
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
2567.6
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
2549.7
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
2549.4
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
2546.6
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
2543.9
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
2538.1
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
2529.0
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
2526.3
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
2526.2
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
2524.2
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
2512.0
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
2471.5
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
2452.9
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
2442.5
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
2435.5
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
2428.0
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
2426.9
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
2424.8
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
2420.9
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
2417.2
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
2414.7
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
2410.8
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
2406.2
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
2404.1
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
2400.4
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
2396.2
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
2392.9
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
2390.9
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
2384.2
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
2377.6
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
2361.6
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
2361.2
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
2355.4
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
2340.3
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
2339.5
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
2326.6
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
2322.8
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
2319.8
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
2316.6
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
2315.6
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
2306.0
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
2288.6
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
2271.3
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
2256.1
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
2237.3
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
2228.6
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
2216.4
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
2211.5
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
2204.2
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
2192.9
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
2190.6
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
2180.7
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
2176.6
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
2158.1
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
2151.9
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
2127.7
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
2122.3
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
2107.7
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
2090.2
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
2088.3
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
2080.9
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
2075.7
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
2075.7
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
2057.3
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
2053.1
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
2047.2
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
2044.8
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
2033.6
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
2030.9
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
2027.1
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
2007.5
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
1996.8
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
1989.5
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
1969.4
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
1968.7
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
1964.8
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
1946.9
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
1933.3
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
1926.8
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
1920.7
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
1909.6
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
1903.3
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
1883.2
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
1881.2
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
1870.3
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
1865.8
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
1832.3
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
1828.8
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
1814.7
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
1814.5
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
1805.2
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
1799.7
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
1798.7
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
1789.9
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
1782.0
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
1773.6
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
1772.8
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
1752.0
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
1748.4
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
1715.6
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
1702.4
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
1699.4
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
1697.6
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
1681.8
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
1662.4
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
1660.1
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
1656.0
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
1655.4
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
1648.4
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
1636.9
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
1632.0
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
1619.9
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
1618.6
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
1610.1
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
1592.0
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
1591.9
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
1590.9
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
1589.7
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
1572.8
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
1567.8
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
1563.9
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
1558.5
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
1542.0
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
1511.6
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
1505.3
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
1504.9
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
1503.4
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
1499.5
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
1495.9
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
1494.3
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
1494.1
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
1494.0
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
1489.4
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
1486.9
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
1485.2
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
1473.7
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
1472.1
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
1466.0
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
1464.1
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
1462.4
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
1453.0
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
1429.2
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
1420.6
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
1417.9
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
1417.7
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
1414.7
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
1414.6
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
1412.8
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
1407.6
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
1399.1
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
1394.8
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
1387.9
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
1381.6
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
1372.0
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
1369.8
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
1369.2
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
1361.8
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
1358.9
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
1346.3
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
1344.7
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
1324.0
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
1323.0
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
1322.2
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
1314.1
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
1300.8
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
1294.1
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
1288.8
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
1286.1
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
1284.8
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
1275.7
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
1272.2
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
1271.8
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
1266.8
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
1265.4
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
1261.4
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
1260.3
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
1259.6
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
1259.4
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
1248.1
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
1246.0
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
1226.9
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
1223.9
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
1220.2
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
1218.4
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
1206.0
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
1204.7
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
1203.1
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
1182.0
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
1174.4
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
1161.5
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
1159.4
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
1156.0
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
1135.6
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
1124.0
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
1120.7
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
1120.0
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
1109.3
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
1078.5
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
1076.1
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
1068.9
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
1063.3
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
1058.2
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
1036.7
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
1029.4
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
1015.4
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
1005.2
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
1001.0
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
997.9
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
990.6
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
987.7
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
984.4
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
973.5
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
970.2
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
954.1
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
939.3
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
931.9
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
921.6
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
907.5
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
903.3
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
833.3
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
818.5
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
636.1
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 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.
RPS7 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
1949.6
Number of samples
81
Samples
Sample
Description
pTPM
DO46356
68 years, female, NA, stage:III, dead, 911 days
4383.8
DO46338
59 years, female, NA, stage:III, dead, 596 days
4184.6
DO46390
65 years, female, NA, stage:III, dead, 374 days
4017.6
DO46568
66 years, female, NA, stage:III, dead, 320 days
3740.7
DO46561
52 years, female, NA, stage:III, dead, 195 days
3691.3
DO46591
58 years, female, NA, stage:III, dead, 195 days
3562.0
DO46384
55 years, female, NA, stage:III, dead, 614 days
3421.0
DO46402
77 years, female, NA, stage:III, dead, 511 days
3237.2
DO46588
74 years, female, NA, stage:III, dead, 438 days
3027.3
DO46463
49 years, female, NA, stage:III, dead, 2451 days
3014.3
DO46566
78 years, female, NA, stage:III, dead, 673 days
2825.5
DO46533
46 years, female, NA, stage:III, alive, 3667 days
2820.0
DO46336
70 years, female, NA, stage:IV, dead, 664 days
2767.7
DO46331
72 years, female, NA, stage:III, dead, 612 days
2656.6
DO46362
61 years, female, NA, stage:III, dead, 1639 days
2630.0
DO46581
66 years, female, NA, stage:III, dead, 408 days
2613.9
DO46333
58 years, female, NA, stage:III, dead, 359 days
2549.7
DO46408
56 years, female, NA, stage:III, dead, 489 days
2543.0
DO46597
60 years, female, NA, stage:III, dead, 393 days
2510.6
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
2489.2
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
2447.2
DO46400
70 years, female, NA, stage:III, dead, 719 days
2356.8
DO46370
54 years, female, NA, stage:III, dead, 1727 days
2322.7
DO46326
51 years, female, NA, stage:III, dead, 701 days
2218.5
DO46453
66 years, female, NA, stage:III, dead, 3294 days
2207.7
DO46508
50 years, female, NA, stage:III, dead, 2101 days
2190.5
DO46606
73 years, female, NA, stage:III, alive, 804 days
2164.2
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
2143.8
DO46334
77 years, female, NA, stage:III, dead, 496 days
2139.2
DO46330
60 years, female, NA, stage:III, dead, 684 days
2125.5
DO46443
59 years, female, NA, stage:III, dead, 2464 days
2123.1
DO46404
55 years, female, NA, stage:III, dead, 690 days
2033.1
DO46432
56 years, female, NA, stage:III, alive, 2218 days
1965.1
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
1964.7
DO46346
54 years, female, NA, stage:III, dead, 1187 days
1943.0
DO46376
58 years, female, NA, stage:III, dead, 1430 days
1937.6
DO46348
58 years, female, NA, stage:IV, dead, 287 days
1910.9
DO46364
45 years, female, NA, stage:III, dead, 806 days
1898.0
DO46388
74 years, female, NA, stage:III, dead, 413 days
1896.0
DO46518
62 years, female, NA, stage:III, alive, 2960 days
1894.0
DO46576
75 years, female, NA, stage:III, alive, 133 days
1846.2
DO46328
52 years, female, NA, stage:III, dead, 972 days
1842.1
DO46380
51 years, female, NA, stage:III, dead, 1423 days
1773.9
DO46560
45 years, female, NA, stage:IV, dead, 286 days
1767.0
DO46493
62 years, female, NA, stage:IV, alive, 839 days
1648.7
DO46342
67 years, female, NA, stage:III, dead, 1398 days
1632.2
DO46436
58 years, female, NA, stage:III, alive, 3193 days
1598.3
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
1565.6
DO46412
64 years, female, NA, stage:III, dead, 597 days
1557.4
DO46358
60 years, female, NA, stage:III, dead, 423 days
1554.9
DO46354
73 years, female, NA, stage:III, dead, 843 days
1530.2
DO46352
60 years, female, NA, stage:III, dead, 677 days
1515.0
DO46551
58 years, female, NA, stage:III, dead, 1055 days
1504.8
DO46325
54 years, female, NA, stage:III, dead, 477 days
1489.5
DO46398
66 years, female, NA, stage:III, alive, 437 days
1478.7
DO46528
56 years, female, NA, stage:III, alive, 6139 days
1458.3
DO46468
67 years, female, NA, stage:III, alive, 2776 days
1445.9
DO46611
52 years, female, NA, stage:III, dead, 734 days
1389.5
DO46329
52 years, female, NA, stage:III, dead, 1699 days
1387.5
DO46602
74 years, female, NA, stage:III, dead, 205 days
1358.9
DO46546
73 years, female, NA, stage:III, dead, 1889 days
1290.3
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
1280.5
DO46448
45 years, female, NA, stage:III, dead, 654 days
1217.5
DO46382
62 years, female, NA, stage:IV, dead, 311 days
1145.8
DO46368
57 years, female, NA, stage:III, dead, 2879 days
1143.5
DO46344
46 years, female, NA, stage:III, dead, 642 days
1135.0
DO46327
54 years, female, NA, stage:III, dead, 184 days
1122.3
DO46340
62 years, female, NA, stage:III, dead, 616 days
1115.0
DO46392
48 years, female, NA, stage:III, dead, 628 days
1111.8
DO46586
55 years, female, NA, stage:III, dead, 1019 days
1084.8
DO46350
66 years, female, NA, stage:III, dead, 886 days
1084.5
DO46372
39 years, female, NA, stage:III, dead, 1326 days
1012.5
DO46378
59 years, female, NA, stage:III, alive, 843 days
1011.0
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
992.9
DO46332
56 years, female, NA, stage:III, dead, 689 days
977.8
DO46366
65 years, female, NA, stage:III, dead, 2054 days
970.1
DO46374
69 years, female, NA, stage:III, dead, 1409 days
954.3
DO46538
57 years, female, NA, stage:III, dead, 1527 days
917.9
DO46396
64 years, female, NA, stage:III, dead, 583 days
849.2
DO46571
61 years, female, NA, stage:III, dead, 243 days
840.4
DO46386
49 years, female, NA, stage:III, dead, 1162 days
753.4
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
0.6
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
0.3
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
0.2
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
0.2
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
0.2
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
0.1
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
0.1
340a3769-3031-41ae-bb08-a2f696_D2
Normal
0.1
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
0.0
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
-0.1
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
-0.1
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
-0.1
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
-0.1
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
-0.2
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
-0.2
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
-0.2
2f901c90-617e-46da-9fac-d68369_D2
Tumor
-0.2
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
-0.2
1db5574d-aca7-403c-8100-6e705f_D2
Normal
-0.2
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
-0.3
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
-0.3
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
-0.3
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
-0.3
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
-0.4
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
-0.4
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
-0.4
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
-0.4
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
-0.4
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
-0.4
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
-0.4
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
-0.5
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
-0.5
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
-0.5
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
-0.5
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
-0.5
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
-0.6
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
-0.6
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
-0.6
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
-0.7
10c2d629-0287-4511-ac25-f29031_D2
Tumor
-0.7
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
-0.7
1a10c200-3895-4648-b951-94f99f_D2
Tumor
-0.7
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
-0.7
15524912-685a-47ce-a824-567848_D2
Tumor
-0.7
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
-0.7
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
-0.7
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
-0.7
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
-0.7
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
-0.7
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
-0.7
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
-0.7
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
-0.7
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
-0.8
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
-0.8
1772e913-f62e-446a-8cf3-720348_D2
Tumor
-0.8
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
-0.8
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
-0.8
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
-0.8
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
-0.8
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
-0.8
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
-0.8
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
-0.8
161317f3-1a39-438e-af45-cd2502_D2
Tumor
-0.8
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
-0.8
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
-0.8
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
-0.8
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
-0.8
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
-0.8
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
-0.9
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
-0.9
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
-0.9
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
-0.9
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
-0.9
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
-0.9
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
-0.9
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
-0.9
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
-0.9
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
-0.9
e9d416e7-f661-400a-896e-388545_D2
Tumor
-1.0
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
-1.0
a3a26070-fb84-406a-8280-d555e6_D2
Normal
-1.0
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
-1.0
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
-1.0
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
-1.0
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
-1.1
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
-1.1
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
-1.1
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
-1.1
a65d8e76-640f-4341-a561-afbb57_D2
Normal
-1.1
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
-1.1
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-1.1
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
-1.1
285fed94-1495-448e-879b-b55de9_D2
Tumor
-1.2
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
-1.2
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
-1.2
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
-1.2
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
-1.2
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
-1.2
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
-1.2
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-1.2
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
-1.2
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
-1.2
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
-1.2
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-1.3
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
-1.4
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
-1.5
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
-1.6
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
-1.9
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
