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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.
RPL18 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
2517.3
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
6956.9
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
6631.0
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
6076.2
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
5944.6
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
5637.9
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
5478.0
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
5394.8
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
5377.4
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
5295.7
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
5264.0
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
5099.9
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
5049.3
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
5030.8
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
5020.4
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
4924.7
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
4909.1
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
4822.1
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
4769.9
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
4759.3
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
4689.1
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
4682.2
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
4668.6
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
4665.7
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
4648.6
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
4599.9
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
4470.8
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
4401.5
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
4377.7
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
4372.9
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
4351.0
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
4345.1
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
4336.1
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
4267.7
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
4263.3
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
4237.7
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
4209.3
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
4142.2
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
4109.4
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
4081.5
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
4072.4
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
4057.0
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
4006.7
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
4005.3
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
3931.2
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
3885.5
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
3774.8
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
3699.1
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
3666.8
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
3664.8
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
3632.1
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
3601.1
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
3578.0
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
3559.2
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
3521.5
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
3470.7
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
3456.4
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
3450.0
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
3448.1
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
3423.4
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
3400.4
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
3397.8
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
3377.1
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
3375.7
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
3373.4
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
3372.0
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
3324.0
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
3317.7
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
3299.8
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
3278.3
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
3253.8
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
3252.1
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
3247.1
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
3207.6
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
3184.5
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
3182.8
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
3180.7
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
3168.2
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
3158.2
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
3143.5
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
3142.4
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
3135.8
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
3128.7
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
3116.9
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
3113.1
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
3079.4
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
3078.7
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
3063.3
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
3028.3
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
3022.0
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
3021.5
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
3016.7
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
3010.7
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
3005.4
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
2998.2
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
2986.0
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
2980.2
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
2975.0
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
2960.2
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
2933.5
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
2931.5
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
2929.0
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
2913.4
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
2905.6
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
2904.2
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
2895.8
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
2875.9
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
2873.3
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
2870.8
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
2840.4
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
2828.9
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
2828.8
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
2807.0
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
2795.5
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
2789.8
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
2780.0
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
2743.3
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
2741.2
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
2734.9
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
2734.5
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
2729.3
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
2713.9
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
2696.5
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
2696.0
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
2690.1
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
2686.1
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
2661.9
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
2659.8
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
2657.6
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
2655.1
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
2641.5
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
2635.8
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
2624.3
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
2621.1
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
2620.9
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
2618.1
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
2615.8
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
2613.4
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
2608.3
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
2607.8
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
2593.6
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
2591.2
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
2587.4
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
2568.7
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
2567.0
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
2545.2
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
2527.5
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
2519.4
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
2511.4
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
2507.4
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
2504.6
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
2495.6
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
2488.7
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
2480.0
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
2474.4
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
2473.4
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
2473.2
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
2467.4
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
2460.2
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
2459.6
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
2442.5
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
2435.8
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
2428.5
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
2427.0
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
2411.0
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
2408.9
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
2376.6
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
2372.1
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
2371.3
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
2363.0
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
2360.7
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
2357.6
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
2337.1
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
2334.2
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
2305.4
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
2267.0
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
2239.9
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
2238.4
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
2235.7
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
2231.4
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
2222.6
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
2222.3
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
2219.0
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
2212.4
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
2211.3
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
2209.1
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
2200.9
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
2196.9
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
2196.8
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
2194.5
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
2186.5
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
2183.3
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
2157.5
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
2149.8
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
2132.4
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
2127.2
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
2126.2
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
2125.0
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
2121.6
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
2111.1
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
2109.5
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
2104.3
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
2101.8
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
2075.1
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
2071.8
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
2057.6
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
2057.0
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
2053.8
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
2040.0
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
2024.8
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
2023.2
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
2021.2
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
2019.0
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
2014.0
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
2011.1
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
2007.4
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
2005.0
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
1999.6
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
1988.9
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
1981.2
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
1979.6
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
1978.3
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
1968.7
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
1957.3
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
1941.4
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
1940.8
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
1938.2
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
1934.7
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
1923.9
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
1920.7
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
1917.6
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
1906.6
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
1879.3
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
1878.4
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
1876.6
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
1871.0
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
1859.0
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
1850.6
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
1849.5
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
1849.3
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
1841.7
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
1825.1
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
1812.6
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
1812.4
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
1788.8
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
1788.0
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
1777.6
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
1774.4
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
1772.9
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
1771.9
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
1767.8
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
1765.6
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
1761.1
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
1750.5
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
1748.5
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
1744.4
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
1743.5
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
1727.5
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
1725.9
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
1718.4
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
1703.5
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
1691.5
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
1688.3
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
1685.8
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
1682.4
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
1671.0
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
1664.5
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
1656.6
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
1656.3
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
1654.1
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
1651.9
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
1648.2
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
1642.2
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
1639.9
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
1639.4
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
1632.3
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
1607.5
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
1595.0
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
1589.6
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
1581.7
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
1578.8
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
1578.6
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
1572.6
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
1570.7
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
1565.7
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
1564.4
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
1561.1
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
1537.3
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
1531.4
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
1530.0
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
1528.7
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
1519.6
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
1511.9
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
1506.1
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
1501.9
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
1488.6
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
1488.2
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
1477.4
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
1474.0
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
1463.9
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
1461.1
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
1452.1
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
1447.2
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
1426.0
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
1414.3
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
1413.8
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
1409.2
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
1398.4
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
1389.0
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
1386.8
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
1357.8
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
1350.3
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
1350.1
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
1343.5
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
1337.9
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
1329.7
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
1327.8
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
1325.3
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
1320.8
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
1310.2
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
1309.1
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
1275.4
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
1273.0
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
1253.3
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
1237.2
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
1225.9
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
1222.6
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
1219.9
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
1218.2
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
1193.2
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
1183.3
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
1165.2
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
1133.1
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
1108.3
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
1093.8
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
1090.5
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
1061.2
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
1046.9
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
1045.9
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
1030.4
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
1005.7
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
983.5
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
940.3
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
909.8
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
900.4
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
841.0
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
792.3
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
769.5
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
750.7
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 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.
RPL18 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
1843.2
Number of samples
81
Samples
Sample
Description
pTPM
DO46370
54 years, female, NA, stage:III, dead, 1727 days
6000.4
DO46384
55 years, female, NA, stage:III, dead, 614 days
5491.1
DO46331
72 years, female, NA, stage:III, dead, 612 days
4877.4
DO46611
52 years, female, NA, stage:III, dead, 734 days
4461.2
DO46333
58 years, female, NA, stage:III, dead, 359 days
4429.6
DO46463
49 years, female, NA, stage:III, dead, 2451 days
3250.3
DO46356
68 years, female, NA, stage:III, dead, 911 days
3243.5
DO46390
65 years, female, NA, stage:III, dead, 374 days
2806.3
DO46568
66 years, female, NA, stage:III, dead, 320 days
2738.4
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
2702.7
DO46508
50 years, female, NA, stage:III, dead, 2101 days
2681.9
DO46538
57 years, female, NA, stage:III, dead, 1527 days
2641.2
DO46400
70 years, female, NA, stage:III, dead, 719 days
2509.8
DO46376
58 years, female, NA, stage:III, dead, 1430 days
2503.6
DO46576
75 years, female, NA, stage:III, alive, 133 days
2453.2
DO46533
46 years, female, NA, stage:III, alive, 3667 days
2444.7
DO46352
60 years, female, NA, stage:III, dead, 677 days
2358.1
DO46326
51 years, female, NA, stage:III, dead, 701 days
2322.6
DO46443
59 years, female, NA, stage:III, dead, 2464 days
2299.6
DO46408
56 years, female, NA, stage:III, dead, 489 days
2281.1
DO46561
52 years, female, NA, stage:III, dead, 195 days
2269.8
DO46364
45 years, female, NA, stage:III, dead, 806 days
2240.9
DO46581
66 years, female, NA, stage:III, dead, 408 days
2154.5
DO46329
52 years, female, NA, stage:III, dead, 1699 days
2085.3
DO46380
51 years, female, NA, stage:III, dead, 1423 days
2084.4
DO46402
77 years, female, NA, stage:III, dead, 511 days
2013.5
DO46560
45 years, female, NA, stage:IV, dead, 286 days
1991.5
DO46338
59 years, female, NA, stage:III, dead, 596 days
1946.7
DO46328
52 years, female, NA, stage:III, dead, 972 days
1945.5
DO46366
65 years, female, NA, stage:III, dead, 2054 days
1863.8
DO46493
62 years, female, NA, stage:IV, alive, 839 days
1832.7
DO46453
66 years, female, NA, stage:III, dead, 3294 days
1832.4
DO46342
67 years, female, NA, stage:III, dead, 1398 days
1816.4
DO46392
48 years, female, NA, stage:III, dead, 628 days
1800.1
DO46597
60 years, female, NA, stage:III, dead, 393 days
1766.3
DO46386
49 years, female, NA, stage:III, dead, 1162 days
1687.0
DO46378
59 years, female, NA, stage:III, alive, 843 days
1650.2
DO46528
56 years, female, NA, stage:III, alive, 6139 days
1643.4
DO46591
58 years, female, NA, stage:III, dead, 195 days
1609.0
DO46334
77 years, female, NA, stage:III, dead, 496 days
1601.2
DO46372
39 years, female, NA, stage:III, dead, 1326 days
1586.7
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
1568.0
DO46354
73 years, female, NA, stage:III, dead, 843 days
1555.6
DO46566
78 years, female, NA, stage:III, dead, 673 days
1552.1
DO46330
60 years, female, NA, stage:III, dead, 684 days
1523.5
DO46588
74 years, female, NA, stage:III, dead, 438 days
1495.8
DO46518
62 years, female, NA, stage:III, alive, 2960 days
1447.9
DO46362
61 years, female, NA, stage:III, dead, 1639 days
1431.2
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
1401.3
DO46602
74 years, female, NA, stage:III, dead, 205 days
1372.9
DO46382
62 years, female, NA, stage:IV, dead, 311 days
1359.7
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
1303.5
DO46350
66 years, female, NA, stage:III, dead, 886 days
1289.7
DO46398
66 years, female, NA, stage:III, alive, 437 days
1258.9
DO46586
55 years, female, NA, stage:III, dead, 1019 days
1234.2
DO46448
45 years, female, NA, stage:III, dead, 654 days
1234.1
DO46404
55 years, female, NA, stage:III, dead, 690 days
1212.9
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
1207.7
DO46374
69 years, female, NA, stage:III, dead, 1409 days
1184.7
DO46571
61 years, female, NA, stage:III, dead, 243 days
1179.6
DO46368
57 years, female, NA, stage:III, dead, 2879 days
1133.8
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
1128.4
DO46551
58 years, female, NA, stage:III, dead, 1055 days
1106.9
DO46358
60 years, female, NA, stage:III, dead, 423 days
1094.4
DO46436
58 years, female, NA, stage:III, alive, 3193 days
1084.1
DO46348
58 years, female, NA, stage:IV, dead, 287 days
1050.0
DO46332
56 years, female, NA, stage:III, dead, 689 days
1046.0
DO46546
73 years, female, NA, stage:III, dead, 1889 days
1026.6
DO46346
54 years, female, NA, stage:III, dead, 1187 days
1024.1
DO46432
56 years, female, NA, stage:III, alive, 2218 days
1020.6
DO46468
67 years, female, NA, stage:III, alive, 2776 days
975.9
DO46412
64 years, female, NA, stage:III, dead, 597 days
954.2
DO46388
74 years, female, NA, stage:III, dead, 413 days
946.8
DO46344
46 years, female, NA, stage:III, dead, 642 days
883.0
DO46327
54 years, female, NA, stage:III, dead, 184 days
878.3
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
820.6
DO46325
54 years, female, NA, stage:III, dead, 477 days
761.3
DO46396
64 years, female, NA, stage:III, dead, 583 days
705.3
DO46606
73 years, female, NA, stage:III, alive, 804 days
686.0
DO46336
70 years, female, NA, stage:IV, dead, 664 days
643.9
DO46340
62 years, female, NA, stage:III, dead, 616 days
605.6
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
0.6
161317f3-1a39-438e-af45-cd2502_D2
Tumor
0.6
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
0.4
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
0.4
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
0.4
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
0.3
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
0.3
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
0.3
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
0.3
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
0.3
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
0.3
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
0.2
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
0.2
10c2d629-0287-4511-ac25-f29031_D2
Tumor
0.2
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
0.2
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
0.2
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
0.1
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
0.1
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
0.1
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
0.1
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
0.1
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
0.1
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
0.0
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
0.0
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
0.0
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
0.0
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
0.0
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
0.0
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
0.0
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
0.0
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
0.0
1db5574d-aca7-403c-8100-6e705f_D2
Normal
-0.1
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
-0.1
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
-0.1
285fed94-1495-448e-879b-b55de9_D2
Tumor
-0.1
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
-0.1
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
-0.1
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
-0.1
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
-0.1
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
-0.1
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-0.2
15524912-685a-47ce-a824-567848_D2
Tumor
-0.2
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
-0.2
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
-0.2
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
-0.2
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
-0.2
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
-0.2
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
-0.2
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
-0.2
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
-0.2
1772e913-f62e-446a-8cf3-720348_D2
Tumor
-0.2
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
-0.2
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-0.2
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
-0.3
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
-0.3
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
-0.3
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
-0.3
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
-0.3
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
-0.3
1a10c200-3895-4648-b951-94f99f_D2
Tumor
-0.3
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
-0.4
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
-0.4
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
-0.4
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
-0.4
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
-0.4
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
-0.4
e9d416e7-f661-400a-896e-388545_D2
Tumor
-0.4
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
-0.4
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
-0.4
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
-0.5
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
-0.5
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
-0.5
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-0.5
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
-0.5
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
-0.5
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
-0.5
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
-0.5
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
-0.5
340a3769-3031-41ae-bb08-a2f696_D2
Normal
-0.6
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
-0.6
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
-0.6
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
-0.6
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
-0.6
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
-0.6
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
-0.6
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
-0.6
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
-0.7
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
-0.7
a65d8e76-640f-4341-a561-afbb57_D2
Normal
-0.7
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
-0.7
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
-0.7
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
-0.7
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
-0.7
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
-0.8
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
-0.8
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
-0.8
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
-0.8
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
-0.9
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
-0.9
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
-1.0
a3a26070-fb84-406a-8280-d555e6_D2
Normal
-1.0
2f901c90-617e-46da-9fac-d68369_D2
Tumor
-1.1
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
-1.1
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
-1.1
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
-1.1
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
-1.2
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
-1.2
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
-1.2
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
