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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.
RPL13A 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
2945.3
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
8510.7
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
8009.3
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
7719.4
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
7476.1
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
7225.0
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
7004.1
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
6648.2
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
6645.8
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
6386.2
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
6362.6
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
6314.4
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
6244.7
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
6140.1
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
6116.9
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
6022.9
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
6022.0
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
5922.0
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
5789.2
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
5755.0
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
5617.7
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
5589.9
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
5559.9
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
5443.0
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
5281.7
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
5222.0
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
5196.3
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
5139.1
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
5050.5
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
5043.5
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
5024.8
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
5011.4
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
5008.5
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
4958.1
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
4898.2
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
4814.3
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
4753.6
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
4744.3
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
4734.4
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
4718.5
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
4671.7
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
4641.7
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
4625.7
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
4537.4
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
4532.7
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
4510.4
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
4494.7
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
4472.8
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
4436.5
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
4434.7
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
4411.2
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
4408.6
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
4352.6
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
4311.6
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
4298.0
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
4257.9
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
4230.4
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
4202.8
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
4169.1
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
4156.9
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
4098.7
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
4073.1
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
3950.1
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
3926.4
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
3915.1
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
3898.5
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
3897.1
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
3887.2
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
3884.0
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
3856.6
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
3834.7
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
3789.1
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
3770.4
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
3753.9
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
3753.8
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
3739.8
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
3739.3
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
3731.4
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
3720.8
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
3716.7
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
3706.2
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
3683.7
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
3643.5
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
3642.7
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
3638.8
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
3626.1
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
3601.6
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
3600.4
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
3584.2
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
3572.0
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
3563.4
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
3559.8
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
3550.6
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
3545.9
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
3538.8
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
3532.7
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
3531.4
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
3521.8
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
3484.8
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
3484.5
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
3448.0
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
3417.4
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
3415.3
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
3409.6
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
3391.7
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
3372.7
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
3365.1
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
3355.5
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
3352.6
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
3351.8
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
3326.0
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
3313.0
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
3303.3
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
3301.2
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
3267.6
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
3267.5
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
3262.8
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
3244.9
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
3243.9
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
3204.8
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
3194.2
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
3192.9
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
3189.0
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
3185.0
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
3158.5
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
3149.0
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
3135.3
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
3132.7
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
3104.4
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
3094.2
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
3075.4
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
3071.0
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
3054.5
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
2995.5
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
2994.9
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
2992.0
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
2989.8
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
2988.0
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
2980.1
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
2974.8
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
2965.9
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
2965.5
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
2945.4
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
2941.9
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
2941.9
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
2937.7
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
2926.7
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
2924.6
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
2918.1
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
2917.7
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
2913.9
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
2907.9
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
2878.0
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
2859.2
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
2858.5
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
2856.2
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
2850.4
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
2845.8
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
2839.5
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
2837.5
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
2820.7
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
2777.9
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
2744.3
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
2732.0
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
2726.0
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
2718.2
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
2708.9
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
2695.3
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
2687.7
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
2683.8
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
2679.0
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
2670.4
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
2667.4
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
2661.9
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 days
2649.5
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
2648.6
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
2641.5
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
2640.5
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
2633.5
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
2625.6
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
2623.6
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
2608.7
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
2603.1
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
2595.7
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
2562.0
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
2561.9
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
2557.0
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
2556.4
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
2547.1
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
2540.7
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
2539.0
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
2538.3
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
2537.8
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
2532.7
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
2525.6
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
2522.1
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
2514.0
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
2509.0
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
2499.0
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
2498.7
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
2487.1
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
2486.8
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
2472.3
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
2469.6
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
2463.3
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
2463.2
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
2459.9
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
2452.7
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
2419.2
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
2418.2
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
2409.7
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
2405.3
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
2397.9
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
2391.8
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
2369.8
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
2364.0
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
2354.8
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
2353.3
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
2347.0
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
2344.4
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
2328.4
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
2304.8
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
2304.5
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
2304.3
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
2302.0
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
2299.5
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
2285.3
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
2256.8
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
2252.5
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
2247.1
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
2243.2
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
2236.3
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
2230.4
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
2213.7
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
2208.2
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
2202.3
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
2191.8
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
2182.0
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
2176.7
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
2170.7
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
2158.4
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
2148.9
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
2147.5
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
2136.0
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
2131.4
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
2125.0
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
2116.0
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
2114.2
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
2096.5
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
2082.1
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
2066.6
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
2051.9
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
2049.8
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
2046.2
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
2044.3
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
2044.2
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
2031.9
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
2022.1
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
2008.1
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
1984.9
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
1954.1
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
1952.8
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
1925.7
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
1925.1
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
1917.3
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
1914.5
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
1911.3
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
1909.3
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
1904.7
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
1902.2
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
1892.6
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
1885.3
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
1880.4
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
1879.3
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
1878.3
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
1868.2
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
1863.7
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
1845.9
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
1845.3
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
1836.6
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
1835.4
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
1835.0
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
1826.3
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
1820.4
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
1814.5
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
1813.7
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
1802.6
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
1799.8
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
1782.1
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
1780.3
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
1760.3
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
1749.8
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
1741.7
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
1735.3
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
1720.9
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
1720.3
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
1703.6
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
1699.4
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
1698.4
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
1696.6
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
1685.6
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
1662.0
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
1647.0
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
1581.2
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
1573.2
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
1569.9
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
1568.3
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
1562.7
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
1557.4
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
1548.4
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
1529.9
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
1526.5
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
1523.1
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
1481.6
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
1457.3
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
1450.6
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
1449.1
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
1434.3
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
1426.6
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
1418.5
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
1391.7
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
1378.5
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
1354.2
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
1334.8
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
1333.2
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
1291.0
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
1285.8
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
1264.8
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
1262.5
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
1259.5
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
1229.6
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
1196.6
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
1188.6
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
1187.8
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
1123.6
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
1103.7
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
1097.2
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
1096.4
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
1010.5
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
1008.3
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
983.0
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
964.8
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
954.3
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
938.0
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
932.4
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
899.2
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
873.0
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
836.6
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
804.2
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 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.
RPL13A 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
3741.5
Number of samples
81
Samples
Sample
Description
pTPM
DO46611
52 years, female, NA, stage:III, dead, 734 days
14304.9
DO46352
60 years, female, NA, stage:III, dead, 677 days
10321.2
DO46356
68 years, female, NA, stage:III, dead, 911 days
9546.5
DO46333
58 years, female, NA, stage:III, dead, 359 days
9463.6
DO46384
55 years, female, NA, stage:III, dead, 614 days
8427.7
DO46390
65 years, female, NA, stage:III, dead, 374 days
7651.2
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
6833.0
DO46331
72 years, female, NA, stage:III, dead, 612 days
6579.6
DO46568
66 years, female, NA, stage:III, dead, 320 days
6487.2
DO46370
54 years, female, NA, stage:III, dead, 1727 days
5754.2
DO46576
75 years, female, NA, stage:III, alive, 133 days
5577.5
DO46326
51 years, female, NA, stage:III, dead, 701 days
5573.9
DO46463
49 years, female, NA, stage:III, dead, 2451 days
5493.1
DO46566
78 years, female, NA, stage:III, dead, 673 days
5376.3
DO46508
50 years, female, NA, stage:III, dead, 2101 days
5262.9
DO46364
45 years, female, NA, stage:III, dead, 806 days
5063.1
DO46366
65 years, female, NA, stage:III, dead, 2054 days
4934.0
DO46538
57 years, female, NA, stage:III, dead, 1527 days
4905.0
DO46443
59 years, female, NA, stage:III, dead, 2464 days
4779.4
DO46561
52 years, female, NA, stage:III, dead, 195 days
4614.6
DO46386
49 years, female, NA, stage:III, dead, 1162 days
4485.3
DO46338
59 years, female, NA, stage:III, dead, 596 days
4466.5
DO46533
46 years, female, NA, stage:III, alive, 3667 days
4359.1
DO46402
77 years, female, NA, stage:III, dead, 511 days
4339.5
DO46408
56 years, female, NA, stage:III, dead, 489 days
4187.4
DO46342
67 years, female, NA, stage:III, dead, 1398 days
4157.9
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
3946.8
DO46376
58 years, female, NA, stage:III, dead, 1430 days
3818.7
DO46334
77 years, female, NA, stage:III, dead, 496 days
3768.0
DO46392
48 years, female, NA, stage:III, dead, 628 days
3753.3
DO46591
58 years, female, NA, stage:III, dead, 195 days
3683.5
DO46560
45 years, female, NA, stage:IV, dead, 286 days
3619.6
DO46597
60 years, female, NA, stage:III, dead, 393 days
3606.2
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
3584.2
DO46400
70 years, female, NA, stage:III, dead, 719 days
3502.5
DO46380
51 years, female, NA, stage:III, dead, 1423 days
3420.7
DO46328
52 years, female, NA, stage:III, dead, 972 days
3398.2
DO46388
74 years, female, NA, stage:III, dead, 413 days
3220.7
DO46518
62 years, female, NA, stage:III, alive, 2960 days
3084.0
DO46581
66 years, female, NA, stage:III, dead, 408 days
2994.4
DO46432
56 years, female, NA, stage:III, alive, 2218 days
2976.0
DO46382
62 years, female, NA, stage:IV, dead, 311 days
2964.6
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
2930.7
DO46330
60 years, female, NA, stage:III, dead, 684 days
2929.0
DO46588
74 years, female, NA, stage:III, dead, 438 days
2903.0
DO46354
73 years, female, NA, stage:III, dead, 843 days
2802.7
DO46325
54 years, female, NA, stage:III, dead, 477 days
2781.7
DO46329
52 years, female, NA, stage:III, dead, 1699 days
2669.3
DO46602
74 years, female, NA, stage:III, dead, 205 days
2607.9
DO46398
66 years, female, NA, stage:III, alive, 437 days
2598.3
DO46350
66 years, female, NA, stage:III, dead, 886 days
2577.7
DO46378
59 years, female, NA, stage:III, alive, 843 days
2574.9
DO46453
66 years, female, NA, stage:III, dead, 3294 days
2470.7
DO46493
62 years, female, NA, stage:IV, alive, 839 days
2445.0
DO46372
39 years, female, NA, stage:III, dead, 1326 days
2436.4
DO46358
60 years, female, NA, stage:III, dead, 423 days
2420.7
DO46528
56 years, female, NA, stage:III, alive, 6139 days
2418.6
DO46362
61 years, female, NA, stage:III, dead, 1639 days
2416.9
DO46348
58 years, female, NA, stage:IV, dead, 287 days
2408.8
DO46374
69 years, female, NA, stage:III, dead, 1409 days
2367.8
DO46448
45 years, female, NA, stage:III, dead, 654 days
2279.2
DO46346
54 years, female, NA, stage:III, dead, 1187 days
2262.9
DO46404
55 years, female, NA, stage:III, dead, 690 days
2221.8
DO46551
58 years, female, NA, stage:III, dead, 1055 days
2097.5
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
2095.4
DO46571
61 years, female, NA, stage:III, dead, 243 days
2090.4
DO46332
56 years, female, NA, stage:III, dead, 689 days
2036.2
DO46368
57 years, female, NA, stage:III, dead, 2879 days
2016.6
DO46344
46 years, female, NA, stage:III, dead, 642 days
2009.2
DO46468
67 years, female, NA, stage:III, alive, 2776 days
1904.7
DO46586
55 years, female, NA, stage:III, dead, 1019 days
1903.6
DO46412
64 years, female, NA, stage:III, dead, 597 days
1885.9
DO46436
58 years, female, NA, stage:III, alive, 3193 days
1780.5
DO46327
54 years, female, NA, stage:III, dead, 184 days
1756.9
DO46396
64 years, female, NA, stage:III, dead, 583 days
1669.6
DO46606
73 years, female, NA, stage:III, alive, 804 days
1570.7
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
1453.6
DO46336
70 years, female, NA, stage:IV, dead, 664 days
1371.1
DO46340
62 years, female, NA, stage:III, dead, 616 days
1365.7
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
1216.8
DO46546
73 years, female, NA, stage:III, dead, 1889 days
1032.6
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
0.8
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
0.8
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
0.6
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
0.6
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
0.5
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
0.5
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
0.5
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
0.5
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
0.5
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
0.4
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
0.4
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
0.4
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
0.3
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
0.3
15524912-685a-47ce-a824-567848_D2
Tumor
0.3
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
0.3
285fed94-1495-448e-879b-b55de9_D2
Tumor
0.3
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
0.3
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
0.2
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
0.1
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
0.1
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
0.1
2f901c90-617e-46da-9fac-d68369_D2
Tumor
0.1
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
0.1
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
0.1
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
0.1
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
0.1
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
-0.1
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
-0.1
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
-0.1
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
-0.1
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
-0.1
1a10c200-3895-4648-b951-94f99f_D2
Tumor
-0.1
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
-0.1
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
-0.1
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
-0.1
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
-0.1
e9d416e7-f661-400a-896e-388545_D2
Tumor
-0.1
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
-0.2
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
-0.2
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
-0.2
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
-0.2
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
-0.2
10c2d629-0287-4511-ac25-f29031_D2
Tumor
-0.3
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
-0.3
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
-0.3
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
-0.3
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
-0.4
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
-0.4
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
-0.4
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
-0.5
161317f3-1a39-438e-af45-cd2502_D2
Tumor
-0.5
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
-0.5
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
-0.5
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
-0.5
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
-0.6
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
-0.6
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-0.6
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
-0.6
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
-0.6
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-0.6
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
-0.7
a3a26070-fb84-406a-8280-d555e6_D2
Normal
-0.7
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
-0.7
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
-0.7
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
-0.7
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
-0.7
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
-0.7
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
-0.7
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
-0.7
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
-0.7
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
-0.7
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
-0.7
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
-0.7
1772e913-f62e-446a-8cf3-720348_D2
Tumor
-0.7
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
-0.8
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
-0.8
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
-0.8
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
-0.8
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
-0.9
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
-0.9
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
-0.9
1db5574d-aca7-403c-8100-6e705f_D2
Normal
-0.9
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
-1.0
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
-1.0
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
-1.0
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
-1.0
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
-1.0
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
-1.0
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
-1.0
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
-1.0
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
-1.1
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
-1.1
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
-1.1
340a3769-3031-41ae-bb08-a2f696_D2
Normal
-1.1
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
-1.1
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
-1.2
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
-1.2
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
-1.2
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
-1.2
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
-1.2
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-1.3
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
-1.4
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
-1.4
a65d8e76-640f-4341-a561-afbb57_D2
Normal
-1.4
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
-1.4
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
-1.4
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
-1.5
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
