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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.
PPIA 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
2729.9
Number of samples
349
Samples
Sample
Description
pTPM
TCGA-57-1586-01A
66 years, female, white, stage:Stage IIIC, alive, 679 days
10958.4
TCGA-13-0911-01A
55 years, female, white, stage:Stage IV, dead, 1355 days
6592.5
TCGA-13-1488-01A
59 years, female, white, stage:Stage IV, dead, 2154 days
5259.7
TCGA-29-1769-01A
40 years, female, white, stage:Stage IIIC, alive, 699 days
5239.7
TCGA-30-1860-01A
58 years, female, white, stage:Stage IIIC, dead, 1366 days
5219.3
TCGA-13-0804-01A
73 years, female, white, stage:Stage IIIC, dead, 1073 days
5009.9
TCGA-13-0891-01A
73 years, female, white, stage:Stage IV, dead, 3128 days
4820.3
TCGA-30-1866-01A
61 years, female, white, stage:Stage IV, dead, 1114 days
4769.9
TCGA-13-0924-01A
45 years, female, white, stage:Stage IV, alive, 2614 days
4752.4
TCGA-13-1496-01A
65 years, female, white, stage:Stage IIIC, dead, 129 days
4751.3
TCGA-29-2427-01A
60 years, female, white, stage:Stage IIIC, alive, 1900 days
4701.2
TCGA-23-1107-01A
59 years, female, white, stage:Stage IV, dead, 9 days
4509.9
TCGA-13-1507-01A
77 years, female, white, stage:Stage IIIC, dead, 1993 days
4503.0
TCGA-13-0795-01A
66 years, female, white, stage:Stage IIIC, dead, 619 days
4488.0
TCGA-29-1785-01A
55 years, female, white, stage:Stage IIIC, dead, 1104 days
4399.6
TCGA-61-1738-01A
60 years, female, black or african american, stage:Stage IIIC, dead, 1089 days
4357.8
TCGA-13-1501-01A
50 years, female, white, stage:Stage IV, dead, 1314 days
4342.8
TCGA-13-0766-01A
42 years, female, white, stage:Stage IIIC, dead, 1725 days
4332.4
TCGA-30-1857-01A
64 years, female, white, stage:Stage IV, dead, 8 days
4312.6
TCGA-13-0765-01A
50 years, female, white, stage:Stage IIIC, dead, 1389 days
4288.6
TCGA-29-1770-01A
54 years, female, white, stage:Stage IIIC, alive, 741 days
4278.4
TCGA-20-0991-01A
78 years, female, white, stage:Stage IIB, alive, 797 days
4254.6
TCGA-23-1118-01A
45 years, female, white, stage:Stage IIIC, alive, 2616 days
4151.9
TCGA-13-1510-01A
62 years, female, white, stage:Stage IIIC, dead, 1359 days
4140.3
TCGA-04-1365-01A
87 years, female, white, stage:Stage IIIB, alive, 947 days
4123.5
TCGA-23-1023-01A
65 years, female, white, stage:Stage IIIC, alive, 1233 days
4114.2
TCGA-30-1714-01A
68 years, female, white, stage:Stage IV, dead, 1158 days
4089.9
TCGA-61-2102-01A
74 years, female, white, stage:Stage IIIC, dead, 197 days
4078.0
TCGA-23-1028-01A
43 years, female, white, stage:Stage IIIC, alive, 1503 days
4041.9
TCGA-29-1776-01A
63 years, female, black or african american, stage:Stage IIIC, alive, 360 days
4027.0
TCGA-09-0369-01A
56 years, female, white, stage:Stage IIIC, dead, 1082 days
3959.4
TCGA-13-0725-01A
44 years, female, white, stage:Stage IIIC, dead, 377 days
3955.6
TCGA-04-1364-01A
61 years, female, white, stage:Stage IIIC, dead, 1024 days
3931.2
TCGA-13-1489-01A
70 years, female, white, stage:Stage IIIC, dead, 2553 days
3901.7
TCGA-36-1571-01A
53 years, female, white, stage:Stage IIIB, dead, 695 days
3878.3
TCGA-13-0726-01A
55 years, female, white, stage:Stage IIIC, dead, 949 days
3859.5
TCGA-13-1498-01A
73 years, female, white, stage:Stage IIIC, dead, 2012 days
3848.2
TCGA-24-0966-01A
78 years, female, black or african american, stage:Stage IIIC, alive, 232 days
3842.2
TCGA-04-1542-01A
52 years, female, white, stage:Stage IIIB, dead, 2561 days
3842.1
TCGA-29-1693-01A
72 years, female, white, stage:Stage IIIC, alive, 3096 days
3839.5
TCGA-29-2414-01A
75 years, female, white, stage:Stage IIIC, dead, 2621 days
3833.3
TCGA-13-0906-01A
50 years, female, white, stage:Stage IIIC, alive, 3619 days
3827.6
TCGA-29-1762-01A
59 years, female, white, stage:Stage IV, dead, 2634 days
3804.1
TCGA-10-0938-01A
80 years, female, white, stage:Stage IIIC, dead, 636 days
3780.1
TCGA-04-1536-01A
60 years, female, black or african american, stage:Stage IV, dead, 885 days
3755.4
TCGA-09-2048-01A
63 years, female, white, stage:Stage IIIC, dead, 138 days
3754.5
TCGA-59-A5PD-01A
55 years, female, black or african american, stage:Stage IC, dead, 624 days
3754.4
TCGA-20-1682-01A
56 years, female, white, stage:Stage IIIC, alive, 837 days
3752.9
TCGA-23-1116-01A
83 years, female, white, stage:Stage IIIC, dead, 592 days
3725.3
TCGA-13-0886-01A
67 years, female, white, stage:Stage IIIC, alive, 4665 days
3695.9
TCGA-24-1431-01A
67 years, female, white, stage:Stage IIIC, dead, 583 days
3692.5
TCGA-09-0367-01A
67 years, female, native hawaiian or other pacific islander, stage:Stage IIIC, dead, 547 days
3673.0
TCGA-13-1512-01A
49 years, female, white, stage:Stage IIIC, alive, 442 days
3672.1
TCGA-13-1407-01A
51 years, female, white, stage:Stage IIIC, alive, 2534 days
3666.1
TCGA-13-0897-01A
54 years, female, white, stage:Stage IIIC, dead, 2182 days
3659.2
TCGA-13-0724-01A
72 years, female, white, stage:Stage IV, dead, 83 days
3637.7
TCGA-61-2003-01A
53 years, female, white, stage:Stage IIIC, alive, 122 days
3631.0
TCGA-04-1655-01A
49 years, female, white, stage:Stage IIIB, dead, 1380 days
3626.1
TCGA-09-2054-01A
58 years, female, black or african american, stage:Stage IIIC, dead, 637 days
3616.0
TCGA-61-1907-01A
63 years, female, white, stage:Stage IIIC, alive, 952 days
3584.6
TCGA-24-1422-01A
82 years, female, black or african american, stage:Stage IIIC, dead, 23 days
3568.8
TCGA-24-1549-01A
58 years, female, white, stage:Stage IIIB, dead, 1721 days
3529.4
TCGA-61-2092-01A
57 years, female, white, stage:Stage IIIC, alive, 1573 days
3516.0
TCGA-13-0730-01A
71 years, female, white, stage:Stage IIIC, dead, 542 days
3513.3
TCGA-13-1410-01A
57 years, female, white, stage:Stage IV, alive, 2464 days
3513.2
TCGA-10-0933-01A
77 years, female, white, stage:Stage IIIC, dead, 446 days
3510.4
TCGA-04-1530-01A
68 years, female, white, stage:Stage IIIC, dead, 3622 days
3508.5
TCGA-29-1697-01A
62 years, female, white, stage:Stage IIIC, dead, 949 days
3499.5
TCGA-25-2401-01A
64 years, female, white, stage:Stage IIIC, dead, 90 days
3491.5
TCGA-25-1627-01A
73 years, female, white, stage:Stage IIIC, dead, 394 days
3485.4
TCGA-61-1737-01A
42 years, female, white, stage:Stage IV, alive, 1364 days
3440.2
TCGA-13-0797-01A
49 years, female, white, stage:Stage IIIC, alive, 2121 days
3416.2
TCGA-30-1718-01A
44 years, female, white, stage:Stage IIIC, dead, 1579 days
3407.6
TCGA-13-1509-01A
64 years, female, white, stage:Stage IV, alive, 2438 days
3405.1
TCGA-24-0968-01A
59 years, female, white, stage:Stage IIIC, dead, 598 days
3400.1
TCGA-30-1892-01A
52 years, female, white, stage:Stage IIIC, dead, 1484 days
3368.4
TCGA-31-1946-01A
30 years, female, stage:Stage IIIC, alive, 918 days
3366.1
TCGA-61-2113-01A
53 years, female, white, stage:Stage IIC, dead, 676 days
3354.4
TCGA-61-1911-01A
55 years, female, white, stage:Stage IIA, alive, 1293 days
3345.7
TCGA-59-2350-01A
44 years, female, stage:Stage IV, dead, 679 days
3341.7
TCGA-29-1691-01A
51 years, female, white, stage:Stage IIIC, dead, 1470 days
3341.4
TCGA-29-1705-01A
47 years, female, white, stage:Stage IIIC, dead, 555 days
3330.3
TCGA-13-0920-01A
65 years, female, white, stage:Stage IIIC, dead, 1484 days
3329.6
TCGA-29-1695-01A
62 years, female, white, stage:Stage IIIC, dead, 1229 days
3316.4
TCGA-13-1411-01A
81 years, female, white, stage:Stage IIIC, dead, 531 days
3304.0
TCGA-25-1320-01A
65 years, female, white, stage:Stage IIIC, dead, 1155 days
3303.7
TCGA-29-1768-01A
50 years, female, white, stage:Stage IV, dead, 952 days
3292.6
TCGA-04-1338-01A
78 years, female, white, stage:Stage IIIC, alive, 1418 days
3254.8
TCGA-24-1842-01A
49 years, female, white, stage:Stage IIIC, alive, 253 days
3248.4
TCGA-57-1585-01A
57 years, female, white, stage:Stage IIIC, dead, 53 days
3242.3
TCGA-13-0888-01A
78 years, female, white, stage:Stage IIIC, dead, 2811 days
3237.8
TCGA-04-1651-01A
53 years, female, white, stage:Stage IIIC, dead, 1102 days
3237.1
TCGA-23-1030-01A
64 years, female, white, stage:Stage IIIC, alive, 886 days
3235.7
TCGA-04-1331-01A
78 years, female, white, stage:Stage IIIC, dead, 1336 days
3233.9
TCGA-24-2020-01A
67 years, female, white, stage:Stage IIIC, dead, 4624 days
3227.8
TCGA-61-2110-01A
56 years, female, white, stage:Stage IIIC, dead, 1354 days
3226.6
TCGA-61-2101-01A
55 years, female, white, stage:Stage IIIC, dead, 1688 days
3224.1
TCGA-31-1953-01A
52 years, female, asian, stage:Stage IIIC, alive, 204 days
3221.9
TCGA-24-2023-01A
54 years, female, white, stage:Stage IIIA, dead, 1364 days
3217.6
TCGA-10-0937-01A
44 years, female, white, stage:Stage IIIC, dead, 608 days
3217.3
TCGA-13-1403-01A
48 years, female, white, stage:Stage IIIC, dead, 2345 days
3209.6
TCGA-61-2109-01A
40 years, female, white, stage:Stage IIIC, dead, 629 days
3207.3
TCGA-36-1580-01A
82 years, female, stage:Stage IIIC, dead, 737 days
3203.4
TCGA-61-1919-01A
58 years, female, white, stage:Stage IIIC, dead, 1161 days
3198.3
TCGA-24-1418-01A
68 years, female, white, stage:Stage IIIC, alive, 243 days
3196.7
TCGA-20-0987-01A
61 years, female, white, stage:Stage IIIC, dead, 701 days
3190.1
TCGA-13-0885-01A
70 years, female, white, stage:Stage IIIC, alive, 3388 days
3188.4
TCGA-13-1405-01A
49 years, female, white, stage:Stage IV, dead, 868 days
3185.7
TCGA-13-1492-01A
66 years, female, white, stage:Stage IIIC, dead, 3819 days
3157.9
TCGA-24-1552-01A
77 years, female, white, stage:Stage IIIC, dead, 1259 days
3151.1
TCGA-24-1428-01A
50 years, female, white, stage:Stage IIIC, alive, 529 days
3133.7
TCGA-29-2428-01A
58 years, female, white, stage:Stage IIIC, alive, 1372 days
3120.0
TCGA-24-1423-01A
61 years, female, white, stage:Stage IIIC, alive, 190 days
3092.6
TCGA-23-2084-01A
45 years, female, white, stage:Stage IV, dead, 1516 days
3066.9
TCGA-23-2077-01A
45 years, female, white, stage:Stage IIIC, alive, 3525 days
3058.2
TCGA-59-2354-01A
63 years, female, white, stage:Stage IIIC, dead, 1046 days
3056.5
TCGA-24-1563-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1451 days
3049.2
TCGA-29-1696-01A
43 years, female, white, stage:Stage IIIC, dead, 1032 days
3049.0
TCGA-61-1725-01A
40 years, female, white, stage:Stage IIIC, alive, 956 days
3047.8
TCGA-04-1343-01A
72 years, female, white, stage:Stage IV, dead, 361 days
3034.2
TCGA-04-1519-01A
48 years, female, stage:Stage IIIC, alive, 24 days
3034.0
TCGA-30-1891-01A
61 years, female, white, stage:Stage IIIC, dead, 914 days
3001.0
TCGA-09-2051-01A
42 years, female, white, stage:Stage IIIC, alive, 1919 days
2995.5
TCGA-23-1111-01A
63 years, female, white, stage:Stage IIIC, alive, 98 days
2990.3
TCGA-13-1477-01A
49 years, female, white, stage:Stage IV, dead, 1662 days
2985.9
TCGA-13-0887-01A
42 years, female, white, stage:Stage IIIC, dead, 2028 days
2976.8
TCGA-24-1474-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 676 days
2974.2
TCGA-61-1914-01A
65 years, female, stage:Stage IIIC, alive, 1722 days
2961.5
TCGA-25-2393-01A
81 years, female, white, stage:Stage IIIC, dead, 1157 days
2954.7
TCGA-13-1506-01A
45 years, female, white, stage:Stage IIIC, dead, 1039 days
2917.9
TCGA-61-2002-01A
46 years, female, white, stage:Stage IIIC, alive, 547 days
2915.6
TCGA-29-1766-01A
74 years, female, white, stage:Stage IIIC, dead, 1199 days
2902.5
TCGA-61-1733-01A
71 years, female, white, stage:Stage IIIC, alive, 967 days
2881.2
TCGA-25-2409-01A
71 years, female, white, stage:Stage IV, dead, 821 days
2876.2
TCGA-25-1319-01A
73 years, female, white, stage:Stage IIIC, dead, 1977 days
2872.2
TCGA-31-1944-01A
47 years, female, white, stage:Stage IIIC, alive, 1386 days
2870.3
TCGA-23-1809-01A
63 years, female, white, stage:Stage IIC, alive, 16 days
2863.1
TCGA-24-2281-01A
68 years, female, white, stage:Stage IIA, alive, 1357 days
2862.3
TCGA-23-1110-01A
42 years, female, white, stage:Stage IIIC, alive, 1658 days
2860.9
TCGA-29-1761-01A
80 years, female, asian, stage:Stage IIIC, dead, 528 days
2846.7
TCGA-20-1686-01A
75 years, female, white, stage:Stage IIIC, alive, 89 days
2813.3
TCGA-23-1119-01A
64 years, female, white, stage:Stage IIIC, alive, 3953 days
2806.1
TCGA-31-1959-01A
49 years, female, white, stage:Stage IV, alive, 67 days
2800.8
TCGA-23-1027-01A
48 years, female, white, stage:Stage IIIC, dead, 976 days
2800.7
TCGA-13-2060-01A
51 years, female, white, stage:Stage IV, alive, 2369 days
2789.1
TCGA-23-1113-01A
48 years, female, white, stage:Stage IV, dead, 949 days
2784.3
TCGA-36-1576-01A
76 years, female, stage:Stage IIIC, alive, 915 days
2783.7
TCGA-13-0768-01A
73 years, female, white, stage:Stage IIIC, dead, 1784 days
2782.0
TCGA-04-1648-01A
57 years, female, white, stage:Stage IIIC, dead, 871 days
2777.5
TCGA-29-1710-01A
54 years, female, white, stage:Stage IIIC, dead, 951 days
2773.2
TCGA-61-1998-01A
48 years, female, white, stage:Stage IIIC, alive, 168 days
2765.6
TCGA-61-2000-01A
67 years, female, white, stage:Stage IIIC, alive, 441 days
2763.6
TCGA-29-1774-01A
82 years, female, white, stage:Stage IIIC, alive, 527 days
2753.9
TCGA-24-1419-01A
62 years, female, white, stage:Stage IIIC, alive, 239 days
2751.4
TCGA-24-2290-01A
56 years, female, white, stage:Stage IIIC, dead, 1102 days
2749.4
TCGA-29-1688-01A
39 years, female, white, stage:Stage IIIC, dead, 2400 days
2740.3
TCGA-31-1951-01A
58 years, female, white, stage:Stage IIIC, alive, 684 days
2722.2
TCGA-13-1404-01A
48 years, female, white, stage:Stage IIIC, alive, 2469 days
2717.0
TCGA-23-1022-01A
67 years, female, white, stage:Stage IIIC, dead, 1511 days
2699.0
TCGA-24-2027-01A
51 years, female, white, stage:Stage IV, dead, 3337 days
2697.5
TCGA-24-1105-01A
36 years, female, white, stage:Stage IIIC, dead, 1442 days
2696.7
TCGA-13-1408-01A
59 years, female, white, stage:Stage IIIC, dead, 1680 days
2663.8
TCGA-24-2036-01A
50 years, female, white, stage:Stage IIIA, dead, 1947 days
2663.6
TCGA-13-1495-01A
60 years, female, white, stage:Stage IIIC, dead, 2749 days
2662.1
TCGA-13-0916-01A
49 years, female, white, stage:Stage IIIC, alive, 1785 days
2661.1
TCGA-61-2098-01A
62 years, female, white, stage:Stage IIIC, alive, 1993 days
2646.4
TCGA-24-1930-01A
53 years, female, white, stage:Stage IIIC, dead, 2467 days
2639.9
TCGA-13-0923-01A
74 years, female, white, stage:Stage IIIC, alive, 2547 days
2631.2
TCGA-25-1877-01A
81 years, female, white, stage:Stage IIIC, dead, 730 days
2628.2
TCGA-24-2289-01A
68 years, female, white, stage:Stage IV, dead, 2049 days
2626.6
TCGA-25-1316-01A
55 years, female, white, stage:Stage IIIC, dead, 1279 days
2625.2
TCGA-24-1843-01A
66 years, female, white, stage:Stage IIIC, alive, 106 days
2617.6
TCGA-24-0982-01A
77 years, female, white, stage:Stage IIIC, dead, 679 days
2615.9
TCGA-13-1485-01A
48 years, female, white, stage:Stage IV, dead, 629 days
2606.7
TCGA-61-1728-01A
59 years, female, white, stage:Stage IV, alive, 848 days
2603.0
TCGA-04-1361-01A
57 years, female, white, stage:Stage IIIB, alive, 989 days
2584.8
TCGA-13-0720-01A
48 years, female, white, stage:Stage IIIC, dead, 1355 days
2577.1
TCGA-29-1777-01A
47 years, female, white, stage:Stage IIIC, alive, 374 days
2574.9
TCGA-09-1670-01A
57 years, female, white, stage:Stage IIIA, alive, 547 days
2569.7
TCGA-13-1511-01A
52 years, female, asian, stage:Stage IV, dead, 1650 days
2563.6
TCGA-36-1577-01A
43 years, female, asian, stage:Stage IIC, alive, 783 days
2562.2
TCGA-23-1024-01A
52 years, female, white, stage:Stage IV, alive, 468 days
2557.8
TCGA-13-1487-01A
74 years, female, white, stage:Stage IV, dead, 681 days
2548.1
TCGA-25-1313-01A
62 years, female, white, stage:Stage IV, dead, 820 days
2546.0
TCGA-59-2355-01A
58 years, female, white, stage:Stage IV, dead, 65 days
2510.3
TCGA-61-2088-01A
51 years, female, white, stage:Stage IIIC, alive, 145 days
2507.8
TCGA-13-0800-01A
52 years, female, white, stage:Stage IIIC, alive, 2661 days
2506.4
TCGA-24-2026-01A
79 years, female, white, stage:Stage IIIC, dead, 1059 days
2502.0
TCGA-24-1567-01A
54 years, female, white, stage:Stage IIIB, dead, 524 days
2496.4
TCGA-25-1628-01A
67 years, female, white, stage:Stage IIIC, dead, 627 days
2492.9
TCGA-24-1551-01A
53 years, female, white, stage:Stage IIIC, dead, 1579 days
2487.6
TCGA-31-1956-01A
60 years, female, white, stage:Stage IIIB, alive, 1342 days
2474.8
TCGA-29-1701-01A
56 years, female, white, stage:Stage IIIC, dead, 515 days
2468.9
TCGA-13-1409-01A
73 years, female, white, stage:Stage IIIC, dead, 1742 days
2465.6
TCGA-24-1416-01A
34 years, female, white, stage:Stage IV, alive, 194 days
2457.4
TCGA-13-0727-01A
71 years, female, white, stage:Stage IIIC, dead, 462 days
2448.4
TCGA-59-2351-01A
51 years, female, white, stage:Stage IIIC, alive, 3532 days
2446.1
TCGA-24-2024-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 1769 days
2443.2
TCGA-25-2404-01A
38 years, female, american indian or alaska native, stage:Stage IIIC, dead, 883 days
2440.5
TCGA-61-2097-01A
71 years, female, white, stage:Stage IIC, alive, 1844 days
2424.3
TCGA-24-1603-01A
53 years, female, white, stage:Stage IIIB, dead, 2742 days
2410.2
TCGA-04-1350-01A
46 years, female, white, stage:Stage IIIC, dead, 1946 days
2402.9
TCGA-09-1662-01A
58 years, female, white, stage:Stage IV, dead, 2717 days
2398.7
TCGA-57-1584-01A
47 years, female, white, stage:Stage IIIC, alive, 643 days
2396.0
TCGA-09-0366-01A
55 years, female, white, stage:Stage IIIC, dead, 1757 days
2392.8
TCGA-24-1426-01A
43 years, female, white, stage:Stage IIIC, alive, 163 days
2376.4
TCGA-24-2035-01A
65 years, female, white, stage:Stage IIIC, dead, 857 days
2366.6
TCGA-13-1499-01A
56 years, female, white, stage:Stage IIIC, alive, 3500 days
2358.0
TCGA-OY-A56Q-01A
78 years, female, black or african american, stage:Stage IIA, alive, 576 days
2342.6
TCGA-24-2267-01A
58 years, female, white, stage:Stage IIB, dead, 1446 days
2342.0
TCGA-24-2033-01A
87 years, female, white, stage:Stage IIIC, dead, 562 days
2333.0
TCGA-61-2104-01A
53 years, female, white, stage:Stage IIC, alive, 2338 days
2330.0
TCGA-24-1469-01A
71 years, female, white, stage:Stage IIIC, alive, 277 days
2325.1
TCGA-24-1924-01A
65 years, female, white, stage:Stage IIIC, dead, 919 days
2323.8
TCGA-24-1560-01A
51 years, female, white, stage:Stage IIIC, dead, 1341 days
2318.7
TCGA-59-2348-01A
59 years, female, white, stage:Stage IIIC, alive, 5481 days
2316.0
TCGA-29-1783-01A
58 years, female, white, stage:Stage IIIC, alive, 220 days
2314.3
TCGA-61-1995-01A
43 years, female, white, stage:Stage IIIC, alive, 61 days
2313.7
TCGA-24-1558-01A
73 years, female, white, stage:Stage IIIC, dead, 594 days
2311.6
TCGA-29-1703-01A
56 years, female, black or african american, stage:Stage IIIC, dead, 1815 days
2309.5
TCGA-13-0883-01A
61 years, female, white, stage:Stage IIIC, dead, 2097 days
2306.6
TCGA-24-1850-01A
72 years, female, white, stage:Stage IIIC, alive, 168 days
2301.5
TCGA-24-1471-01A
60 years, female, white, stage:Stage IIIC, alive, 36 days
2300.5
TCGA-24-1923-01A
51 years, female, white, stage:Stage IIIC, dead, 690 days
2300.1
TCGA-25-1322-01A
62 years, female, white, stage:Stage IV, dead, 91 days
2300.0
TCGA-29-1784-01A
55 years, female, white, stage:Stage IIIC, alive, 163 days
2298.6
TCGA-24-1544-01A
71 years, female, black or african american, stage:Stage IIIC, dead, 820 days
2297.6
TCGA-24-2288-01A
70 years, female, white, stage:Stage IIIC, dead, 25 days
2297.6
TCGA-25-1323-01A
72 years, female, white, stage:Stage IIIC, dead, 395 days
2295.0
TCGA-25-1315-01A
50 years, female, white, stage:Stage IIIC, dead, 1583 days
2291.8
TCGA-23-1120-01A
60 years, female, white, stage:Stage IIIC, alive, 130 days
2288.3
TCGA-24-1845-01A
42 years, female, white, stage:Stage IIIC, alive, 116 days
2282.0
TCGA-25-1870-01A
59 years, female, white, stage:Stage IIIC, dead, 455 days
2281.2
TCGA-13-A5FT-01A
67 years, female, black or african american, stage:Stage IIIC, alive, 2143 days
2271.8
TCGA-09-0364-01A
80 years, female, white, stage:Stage IIC, dead, 887 days
2254.7
TCGA-24-1413-01A
51 years, female, white, stage:Stage IIIC, alive, 192 days
2247.9
TCGA-61-1918-01A
45 years, female, white, stage:Stage IV, dead, 479 days
2247.5
TCGA-29-1690-01A
66 years, female, white, stage:Stage IIIC, dead, 1448 days
2242.4
TCGA-57-1993-01A
56 years, female, white, stage:Stage IIIC, alive, 763 days
2229.1
TCGA-24-2038-01A
68 years, female, white, stage:Stage IIIA, dead, 1354 days
2217.0
TCGA-61-1910-01A
56 years, female, white, stage:Stage IIC, alive, 1127 days
2212.0
TCGA-30-1861-01A
74 years, female, white, stage:Stage IIIC, dead, 1058 days
2208.4
TCGA-24-1430-01A
68 years, female, white, stage:Stage IIIC, dead, 863 days
2193.1
TCGA-24-2293-01A
47 years, female, white, stage:'--, dead, 506 days
2178.5
TCGA-04-1341-01A
85 years, female, white, stage:'--, alive, 33 days
2159.4
TCGA-61-1741-01A
76 years, female, white, stage:Stage IIIB, dead, 1024 days
2155.6
TCGA-09-2045-01A
50 years, female, asian, stage:Stage IV, dead, 1069 days
2133.5
TCGA-25-1630-01A
73 years, female, white, stage:Stage IIIC, dead, 1162 days
2117.0
TCGA-29-1763-01A
43 years, female, black or african american, stage:Stage IIC, alive, 2032 days
2116.6
TCGA-24-2280-01A
74 years, female, white, stage:Stage IIIC, alive, 2143 days
2105.1
TCGA-29-1694-01A
45 years, female, white, stage:Stage IIIC, dead, 1187 days
2090.3
TCGA-VG-A8LO-01A
55 years, female, black or african american, stage:Stage IV, dead, 24 days
2070.1
TCGA-23-1109-01A
62 years, female, white, stage:Stage IIIC, dead, 1562 days
2061.9
TCGA-25-2398-01A
71 years, female, white, stage:Stage IIIC, dead, 1369 days
2055.4
TCGA-25-1312-01A
69 years, female, white, stage:Stage IV, dead, 31 days
2052.0
TCGA-61-2111-01A
61 years, female, white, stage:Stage IV, alive, 3825 days
2047.1
TCGA-24-1557-01A
49 years, female, white, stage:Stage IIIC, dead, 1213 days
2033.2
TCGA-10-0927-01A
65 years, female, stage:Stage IIIC, dead, 2490 days
2032.7
TCGA-24-1562-01A
67 years, female, white, stage:Stage IIIC, dead, 1384 days
2030.8
TCGA-29-1778-01A
77 years, female, white, stage:Stage IIIC, alive, 454 days
2030.8
TCGA-23-1122-01A
53 years, female, white, stage:Stage IIIC, dead, 1189 days
2021.3
TCGA-24-1847-01A
45 years, female, white, stage:Stage IV, alive, 343 days
2021.2
TCGA-29-2425-01A
60 years, female, white, stage:Stage IIIC, alive, 1977 days
2013.7
TCGA-13-1483-01A
61 years, female, white, stage:Stage IIIC, dead, 895 days
2013.3
TCGA-23-1123-01A
59 years, female, white, stage:Stage IIIC, dead, 1018 days
2006.4
TCGA-24-1464-01A
70 years, female, white, stage:Stage IIIC, dead, 379 days
1998.2
TCGA-25-1326-01A
61 years, female, white, stage:Stage IIIC, dead, 1249 days
1986.0
TCGA-24-2271-01A
55 years, female, asian, stage:Stage IIIC, dead, 962 days
1985.9
TCGA-36-1574-01A
48 years, female, asian, stage:Stage IIIC, alive, 686 days
1975.1
TCGA-36-1581-01A
63 years, female, white, stage:Stage IIC, alive, 751 days
1972.7
TCGA-30-1853-01A
58 years, female, white, stage:Stage IIIC, dead, 1103 days
1966.9
TCGA-25-1631-01A
73 years, female, white, stage:Stage IIIC, dead, 9 days
1962.8
TCGA-29-A5NZ-01A
66 years, female, black or african american, stage:Stage IIIC, dead, 1088 days
1961.0
TCGA-31-1950-01A
76 years, female, white, stage:Stage IIIC, alive, 571 days
1948.4
TCGA-25-1626-01A
65 years, female, white, stage:Stage IIIC, dead, 518 days
1946.8
TCGA-25-1321-01A
65 years, female, white, stage:Stage IIIC, dead, 1033 days
1931.9
TCGA-61-2009-01A
65 years, female, white, stage:Stage IIIC, alive, 1212 days
1929.4
TCGA-25-2399-01A
80 years, female, white, stage:Stage IIIC, dead, 608 days
1925.5
TCGA-59-2363-01A
40 years, female, asian, stage:Stage IIIA, alive, 165 days
1912.5
TCGA-10-0928-01A
71 years, female, white, stage:Stage IIIC, dead, 563 days
1910.2
TCGA-13-0762-01A
65 years, female, white, stage:Stage IIIC, alive, 3400 days
1894.5
TCGA-25-2400-01A
76 years, female, white, stage:Stage IIIC, dead, 1278 days
1894.3
TCGA-04-1356-01A
62 years, female, white, stage:Stage IIC, dead, 1499 days
1886.3
TCGA-04-1332-01A
70 years, female, white, stage:Stage IIIC, dead, 1247 days
1883.9
TCGA-WR-A838-01A
72 years, female, black or african american, stage:Stage IIIC, dead, 304 days
1883.3
TCGA-24-1434-01A
59 years, female, white, stage:Stage IIIC, dead, 568 days
1875.0
TCGA-04-1362-01A
59 years, female, white, stage:Stage IIC, dead, 1348 days
1874.5
TCGA-25-2396-01A
71 years, female, white, stage:Stage IIIC, dead, 92 days
1866.1
TCGA-04-1347-01A
81 years, female, white, stage:Stage IV, alive, 1919 days
1860.9
TCGA-09-1673-01A
50 years, female, white, stage:Stage IV, alive, 92 days
1857.6
TCGA-61-1900-01A
51 years, female, black or african american, stage:Stage IIIB, alive, 176 days
1857.0
TCGA-25-1634-01A
75 years, female, white, stage:Stage IIIC, dead, 1091 days
1853.1
TCGA-30-1862-01A
65 years, female, white, stage:Stage IV, dead, 186 days
1852.6
TCGA-61-2012-01A
81 years, female, white, stage:Stage IIC, alive, 932 days
1844.6
TCGA-5X-AA5U-01A
61 years, female, black or african american, stage:Stage IIC, alive, 361 days
1843.6
TCGA-13-1505-01A
63 years, female, white, stage:Stage IIIC, alive, 1998 days
1817.5
TCGA-24-1928-01A
77 years, female, white, stage:Stage IIIC, dead, 336 days
1799.4
TCGA-24-1424-01A
67 years, female, white, stage:Stage IIIC, alive, 183 days
1798.0
TCGA-24-1844-01A
64 years, female, white, stage:Stage IIIC, alive, 113 days
1791.3
TCGA-09-1666-01A
57 years, female, white, stage:Stage IIIC, alive, 1752 days
1791.0
TCGA-24-2261-01A
76 years, female, white, stage:Stage IIIC, dead, 24 days
1786.5
TCGA-10-0931-01A
44 years, female, white, stage:Stage IIIC, dead, 1000 days
1778.4
TCGA-61-1721-01A
38 years, female, white, stage:Stage IV, alive, 338 days
1774.6
TCGA-25-1328-01A
38 years, female, white, stage:Stage IIIC, dead, 2009 days
1758.2
TCGA-24-2297-01A
56 years, female, white, stage:Stage IIIC, dead, 1699 days
1757.3
TCGA-13-1497-01A
47 years, female, white, stage:Stage IIIC, alive, 3871 days
1756.3
TCGA-57-1994-01A
63 years, female, white, stage:'--, alive, 761 days
1753.7
TCGA-25-1635-01A
71 years, female, white, stage:Stage IIIC, dead, 1583 days
1749.0
TCGA-24-1435-01A
57 years, female, white, stage:Stage IIIC, dead, 1324 days
1729.7
TCGA-25-1623-01A
71 years, female, white, stage:Stage IV, dead, 565 days
1707.2
TCGA-57-1582-01A
50 years, female, white, stage:Stage IIIC, dead, 731 days
1683.1
TCGA-24-1550-01A
49 years, female, white, stage:Stage IIIC, dead, 1249 days
1672.4
TCGA-29-1711-01A
45 years, female, black or african american, stage:Stage IIIC, alive, 1053 days
1668.0
TCGA-25-2392-01A
75 years, female, white, stage:Stage IV, dead, 31 days
1660.4
TCGA-24-1616-01A
56 years, female, white, stage:Stage IIIC, dead, 1163 days
1649.5
TCGA-20-1687-01A
46 years, female, white, stage:Stage IV, alive, 81 days
1632.5
TCGA-04-1514-01A
45 years, female, white, stage:Stage IIIA, dead, 1720 days
1627.9
TCGA-24-1846-01A
45 years, female, stage:Stage IIIC, alive, 133 days
1593.0
TCGA-57-1583-01A
57 years, female, black or african american, stage:Stage IIIC, dead, 346 days
1573.2
TCGA-23-2078-01A
66 years, female, white, stage:Stage IIIC, alive, 2661 days
1572.2
TCGA-13-0714-01A
55 years, female, white, stage:Stage IV, dead, 189 days
1548.6
TCGA-24-1467-01A
51 years, female, white, stage:Stage IIIC, dead, 3224 days
1525.6
TCGA-24-1103-01A
50 years, female, black or african american, stage:Stage IIIC, dead, 1646 days
1524.2
TCGA-25-1329-01A
76 years, female, white, stage:Stage IIIC, dead, 457 days
1520.4
TCGA-36-1569-01A
52 years, female, white, stage:Stage IIIC, alive, 885 days
1502.1
TCGA-24-0979-01A
53 years, female, white, stage:Stage IV, dead, 1264 days
1502.1
TCGA-36-1568-01A
52 years, female, stage:Stage IIIC, alive, 875 days
1494.4
TCGA-24-1553-01A
53 years, female, white, stage:Stage IIIB, dead, 1767 days
1493.6
TCGA-24-1417-01A
54 years, female, white, stage:Stage IV, alive, 238 days
1492.1
TCGA-25-1318-01A
54 years, female, white, stage:Stage IIIC, dead, 1064 days
1478.7
TCGA-61-2008-01A
40 years, female, asian, stage:Stage IIC, alive, 932 days
1473.1
TCGA-24-1104-01A
56 years, female, white, stage:Stage IV, dead, 1933 days
1454.8
TCGA-20-1683-01A
65 years, female, white, stage:Stage IIIC, alive, 772 days
1447.8
TCGA-24-1604-01A
66 years, female, white, stage:Stage IIIC, dead, 2688 days
1421.4
TCGA-09-1669-01A
54 years, female, white, stage:Stage IIIA, alive, 928 days
1399.9
TCGA-25-1317-01A
66 years, female, white, stage:Stage IIIC, dead, 61 days
1393.9
TCGA-24-1546-01A
46 years, female, white, stage:Stage IIIC, dead, 1955 days
1324.9
TCGA-25-1632-01A
68 years, female, white, stage:Stage IV, dead, 1799 days
1321.3
TCGA-24-2254-01A
66 years, female, white, stage:Stage IIIC, dead, 1736 days
1274.8
TCGA-24-1565-01A
74 years, female, white, stage:Stage IIIC, dead, 312 days
1259.4
TCGA-29-1781-01A
69 years, female, white, stage:Stage IIIC, alive, 255 days
1242.3
TCGA-24-1427-01A
58 years, female, stage:Stage IIIC, alive, 147 days
1241.5
TCGA-24-1425-01A
45 years, female, white, stage:Stage IIIC, alive, 181 days
1200.8
TCGA-24-2298-01A
55 years, female, white, stage:Stage IIIC, dead, 1620 days
1169.1
TCGA-61-1724-01A
47 years, female, white, stage:Stage IIIC, dead, 637 days
1166.7
TCGA-25-2042-01A
60 years, female, american indian or alaska native, stage:Stage IIIC, dead, 396 days
1146.2
TCGA-25-1633-01A
64 years, female, white, stage:Stage IIIC, dead, 1891 days
1090.5
TCGA-59-2352-01A
78 years, female, white, stage:Stage IIIC, dead, 286 days
1037.6
TCGA-36-1570-01A
49 years, female, white, stage:Stage IIIC, alive, 655 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.
PPIA 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
1956.9
Number of samples
81
Samples
Sample
Description
pTPM
DO46606
73 years, female, NA, stage:III, alive, 804 days
7186.3
DO46586
55 years, female, NA, stage:III, dead, 1019 days
4250.4
DO46458
67 years, female, NA, stage:IV, alive, 3787 days
3587.1
DO46327
54 years, female, NA, stage:III, dead, 184 days
3059.3
DO46382
62 years, female, NA, stage:IV, dead, 311 days
2972.1
DO46533
46 years, female, NA, stage:III, alive, 3667 days
2935.0
DO46362
61 years, female, NA, stage:III, dead, 1639 days
2860.0
DO46400
70 years, female, NA, stage:III, dead, 719 days
2856.0
DO46388
74 years, female, NA, stage:III, dead, 413 days
2711.5
DO46568
66 years, female, NA, stage:III, dead, 320 days
2682.4
DO46438
55 years, female, NA, stage:IV, alive, 2227 days
2658.1
DO46528
56 years, female, NA, stage:III, alive, 6139 days
2585.6
DO46376
58 years, female, NA, stage:III, dead, 1430 days
2571.5
DO46463
49 years, female, NA, stage:III, dead, 2451 days
2519.3
DO46566
78 years, female, NA, stage:III, dead, 673 days
2455.4
DO46370
54 years, female, NA, stage:III, dead, 1727 days
2409.4
DO46360
58 years, female, NA, stage:IV, dead, 1759 days
2402.0
DO46329
52 years, female, NA, stage:III, dead, 1699 days
2397.3
DO46330
60 years, female, NA, stage:III, dead, 684 days
2372.1
DO46588
74 years, female, NA, stage:III, dead, 438 days
2347.8
DO46551
58 years, female, NA, stage:III, dead, 1055 days
2244.7
DO46602
74 years, female, NA, stage:III, dead, 205 days
2242.3
DO46493
62 years, female, NA, stage:IV, alive, 839 days
2221.6
DO46368
57 years, female, NA, stage:III, dead, 2879 days
2216.4
DO46560
45 years, female, NA, stage:IV, dead, 286 days
2207.7
DO46597
60 years, female, NA, stage:III, dead, 393 days
2195.0
DO46443
59 years, female, NA, stage:III, dead, 2464 days
2153.6
DO46378
59 years, female, NA, stage:III, alive, 843 days
2145.1
DO46404
55 years, female, NA, stage:III, dead, 690 days
2106.7
DO46581
66 years, female, NA, stage:III, dead, 408 days
2045.2
DO46348
58 years, female, NA, stage:IV, dead, 287 days
2019.6
DO46408
56 years, female, NA, stage:III, dead, 489 days
1999.2
DO46518
62 years, female, NA, stage:III, alive, 2960 days
1989.7
DO46340
62 years, female, NA, stage:III, dead, 616 days
1986.7
DO46513
54 years, female, NA, stage:IV, dead, 1883 days
1959.3
DO46394
61 years, female, NA, stage:IV, dead, 1039 days
1943.8
DO46354
73 years, female, NA, stage:III, dead, 843 days
1899.7
DO46523
52 years, female, NA, stage:IV, alive, 1873 days
1889.2
DO46468
67 years, female, NA, stage:III, alive, 2776 days
1868.1
DO46334
77 years, female, NA, stage:III, dead, 496 days
1842.2
DO46448
45 years, female, NA, stage:III, dead, 654 days
1837.6
DO46374
69 years, female, NA, stage:III, dead, 1409 days
1791.8
DO46331
72 years, female, NA, stage:III, dead, 612 days
1750.3
DO46364
45 years, female, NA, stage:III, dead, 806 days
1745.1
DO46336
70 years, female, NA, stage:IV, dead, 664 days
1739.2
DO46508
50 years, female, NA, stage:III, dead, 2101 days
1724.0
DO46350
66 years, female, NA, stage:III, dead, 886 days
1718.7
DO46344
46 years, female, NA, stage:III, dead, 642 days
1713.4
DO46571
61 years, female, NA, stage:III, dead, 243 days
1696.9
DO46332
56 years, female, NA, stage:III, dead, 689 days
1678.8
DO46325
54 years, female, NA, stage:III, dead, 477 days
1660.4
DO46342
67 years, female, NA, stage:III, dead, 1398 days
1628.3
DO46352
60 years, female, NA, stage:III, dead, 677 days
1621.5
DO46561
52 years, female, NA, stage:III, dead, 195 days
1617.7
DO46396
64 years, female, NA, stage:III, dead, 583 days
1614.2
DO46386
49 years, female, NA, stage:III, dead, 1162 days
1499.7
DO46338
59 years, female, NA, stage:III, dead, 596 days
1472.8
DO46591
58 years, female, NA, stage:III, dead, 195 days
1472.2
DO46398
66 years, female, NA, stage:III, alive, 437 days
1468.7
DO46333
58 years, female, NA, stage:III, dead, 359 days
1465.1
DO46372
39 years, female, NA, stage:III, dead, 1326 days
1451.7
DO46328
52 years, female, NA, stage:III, dead, 972 days
1450.7
DO46346
54 years, female, NA, stage:III, dead, 1187 days
1422.6
DO46356
68 years, female, NA, stage:III, dead, 911 days
1409.2
DO46326
51 years, female, NA, stage:III, dead, 701 days
1393.0
DO46358
60 years, female, NA, stage:III, dead, 423 days
1356.0
DO46546
73 years, female, NA, stage:III, dead, 1889 days
1305.6
DO46432
56 years, female, NA, stage:III, alive, 2218 days
1240.5
DO46538
57 years, female, NA, stage:III, dead, 1527 days
1229.7
DO46576
75 years, female, NA, stage:III, alive, 133 days
1221.3
DO46428
59 years, female, NA, stage:IV, alive, 2644 days
1216.8
DO46392
48 years, female, NA, stage:III, dead, 628 days
1182.3
DO46384
55 years, female, NA, stage:III, dead, 614 days
1161.5
DO46436
58 years, female, NA, stage:III, alive, 3193 days
1119.9
DO46390
65 years, female, NA, stage:III, dead, 374 days
1077.5
DO46402
77 years, female, NA, stage:III, dead, 511 days
1010.2
DO46380
51 years, female, NA, stage:III, dead, 1423 days
1007.7
DO46453
66 years, female, NA, stage:III, dead, 3294 days
988.2
DO46366
65 years, female, NA, stage:III, dead, 2054 days
876.8
DO46412
64 years, female, NA, stage:III, dead, 597 days
834.4
DO46611
52 years, female, NA, stage:III, dead, 734 days
642.5
Show allShow less
OVARY SEROUS CYSTADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
108
Samples
Sample ID
Sample type
nRPX
5ea22f5e-307b-491d-801f-8b7fa6_D2
Tumor
0.1
2563cb02-d58a-4286-8634-7502cd_D2
Tumor
0.0
4ccb249a-6722-491e-97e9-e3b4e7_D2
Tumor
-0.1
a583d3ff-8165-43e9-b764-23b7ef_D1_D2
Normal
-0.1
7d953d1d-84b6-4ecd-b1d7-1ed865_D2
Tumor
-0.1
a3a26070-fb84-406a-8280-d555e6_D2
Normal
-0.1
994f9b8e-46cb-413f-8ec8-2c2fed_D2
Normal
-0.3
c17b0ff9-9057-4848-a0cc-abb25f_D2
Tumor
-0.3
91b287fd-eadb-442d-abcd-20b741_D2
Tumor
-0.3
28d0abdb-f682-4bd3-9425-a9c508_D2
Tumor
-0.3
27f3ca2d-a86f-479d-8e7e-5307c7_D2
Tumor
-0.5
2f901c90-617e-46da-9fac-d68369_D2
Tumor
-0.5
2ed8beb2-bc63-4bad-b5fe-1916a0_D2
Tumor
-0.5
b9c1f22e-61f7-45ed-b3b4-5094c7_D2
Normal
-0.6
3e746bea-ed68-40e6-b348-6ddf08_D2
Normal
-0.6
3a380577-c134-47ba-a1ce-988d7c_D2
Tumor
-0.6
79b60f32-6cca-4cb6-9a1e-22a3ac_D2
Tumor
-0.6
49bd51fe-48a1-4828-b66e-b30c38_D2
Tumor
-0.6
340a3769-3031-41ae-bb08-a2f696_D2
Normal
-0.6
d38f40fb-dd78-43b2-8b7b-4b6977_D2
Tumor
-0.6
0c87932d-b6fd-4eb5-b86a-a34d07_D2
Tumor
-0.7
af95e2c6-25c4-4ab8-bf06-3e15ff_D2
Tumor
-0.7
e6850782-fd2a-4c53-b682-1852fe_D2
Tumor
-0.7
3490835c-c004-45ed-91f3-7c206f_D2
Tumor
-0.7
b22659b9-e12c-4725-a7db-a833de_D1_D2
Normal
-0.7
2433b136-fc7b-4cea-b958-bc6efb_D2
Tumor
-0.7
2b4ce90c-8036-4207-ac3e-54a76f_D2
Tumor
-0.8
51a4ce2f-4166-4c6b-a7e0-942d0a_D2
Tumor
-0.8
80873a0c-1f40-4d51-bab1-3f2071_D2
Tumor
-0.8
8234f8ea-bdbd-45b0-bd0b-16f1e7_D2
Tumor
-0.8
685ec3c2-e67a-40d3-9eb3-aa01c9_D1_D2
Normal
-0.8
1b2ab076-c72f-4bbe-b9f9-657d24_D2
Tumor
-0.9
a03d1103-b809-42c4-ad5c-5aff58_D2
Tumor
-0.9
d4791079-c826-4fc7-9d9b-ee20ba_D2
Tumor
-0.9
627e6e36-3dca-4ee5-9755-6f3510_D2
Tumor
-0.9
2224c03f-b7b1-4368-887e-2b4cdf_D2
Tumor
-0.9
7069e990-4a4e-4984-a66d-4d835a_D2
Tumor
-1.0
1772e913-f62e-446a-8cf3-720348_D2
Tumor
-1.0
3d3e1888-d67e-4c69-ba83-112d0f_D2
Tumor
-1.0
1c9145ad-1981-4871-aa7e-8b11de_D2
Tumor
-1.0
76e77c6b-c80e-4391-bdbb-e1dcea_D2
Tumor
-1.0
50997c44-1c8b-4d34-b535-4a6cc2_D2
Tumor
-1.0
347e379b-77c0-4dd3-aa25-18c9d1_D2
Tumor
-1.1
2b73e01c-347a-4dae-a71d-752aeb_D2
Normal
-1.1
6319b36b-533c-4e86-8e12-80552e_D3
Tumor
-1.1
f6c215ea-5381-4521-bb61-be8e97_D2
Tumor
-1.1
256ac9f5-1e19-44b4-92fb-fef3fc_D2
Tumor
-1.1
9c8e78bf-b03e-4ba0-9909-5ff070_D2
Tumor
-1.1
092af714-b97a-457c-b0e9-8c20e8_D2
Normal
-1.1
05387aad-2a1f-42c2-8d6f-950598_D3
Tumor
-1.1
a65d8e76-640f-4341-a561-afbb57_D2
Normal
-1.1
d109a3c0-350e-47f5-bda0-61899c_D2
Tumor
-1.2
35a345a4-e954-4c81-ae3f-7797cd_D2
Tumor
-1.2
61f76fe6-a1c6-41b8-bdc2-2f9209_D2
Normal
-1.2
31c15e30-21d4-4843-bd4a-9cd0d8_D2
Normal
-1.2
cfd76f9a-ce60-4ec7-8e6b-a8fc31_D3
Tumor
-1.2
e23eb014-69c1-460a-b9d4-9786c8_D2
Normal
-1.2
1a10c200-3895-4648-b951-94f99f_D2
Tumor
-1.2
2dc28da8-7ff1-4b9b-b5bd-17cc25_D2
Tumor
-1.2
0745488e-0bfb-4d1f-8228-dedf76_D1_D2
Normal
-1.2
3946a96c-e0ae-442f-83b4-a9350e_D2
Tumor
-1.2
e7b656bf-3c34-4ba1-bdf3-c7eefe_D2
Tumor
-1.2
318d53c3-216b-4de1-a098-77d6dd_D2
Tumor
-1.2
eb0a53df-7620-4024-8d2d-051142_D2
Tumor
-1.2
21efd60f-6a31-4b98-9477-16a905_D2
Normal
-1.3
69d552be-7cb2-4bb4-b602-a27b3e_D2
Tumor
-1.3
e9d416e7-f661-400a-896e-388545_D2
Tumor
-1.3
5c3971ee-87c7-4dff-b66e-f18892_D2
Tumor
-1.3
74a45e5a-a35a-4c60-a4b4-f3f5ea_D2
Tumor
-1.3
1de8d3d8-fc0e-4be0-8aa7-127c7b_D2
Tumor
-1.3
0cc794c3-5bf5-4621-b238-58a0f6_D2
Tumor
-1.3
51c1c79e-5a8e-4b0a-bf92-1c0cab_D2
Tumor
-1.4
9b90eb78-2f50-4aeb-b010-d642f9_D2
Tumor
-1.4
42d860a3-8a0c-4c44-a09a-9ad8cf_D2
Tumor
-1.4
8e17b45e-6a06-4e4e-913d-7b1edb_D2
Tumor
-1.4
9e0d47e0-f633-468b-b82b-4d752d_D2
Tumor
-1.4
1db5574d-aca7-403c-8100-6e705f_D2
Normal
-1.4
bd266bdd-12e4-42cb-9c49-911bfc_D2
Tumor
-1.4
927f0958-db5a-4bc5-92b7-2a3695_D2
Tumor
-1.4
8ed739dd-ae0f-4881-971a-db3cf4_D1_D2
Normal
-1.4
41d0619e-b299-42e2-ac32-29e784_D2
Tumor
-1.4
1abbcb28-f221-4cd4-8c01-37b9bb_D1_D2
Normal
-1.4
3fbf076a-824b-4eac-b6dc-bf5e59_D2
Normal
-1.4
6e209757-a7f4-45af-b5f3-2ebc02_D2
Normal
-1.5
e3ebe010-cd31-4b5d-8fcb-b7103b_D2
Tumor
-1.5
285fed94-1495-448e-879b-b55de9_D2
Tumor
-1.5
15524912-685a-47ce-a824-567848_D2
Tumor
-1.5
558333b0-ea23-4303-9e3c-4932b1_D2
Tumor
-1.5
62f5840e-6cd7-4200-b651-645e53_D2
Tumor
-1.5
fe83e13f-9754-403b-8f74-d6caf8_D2
Tumor
-1.5
1556af7e-c2ae-4fce-9aae-87c459_D1_D2
Normal
-1.5
9a7a86d3-bbf2-4d36-941d-c75c03_D1_D2
Tumor
-1.5
a8853382-b726-4ce8-98d5-ca89df_D2
Tumor
-1.5
2115808b-6a0d-49bc-a8d7-b83bde_D2
Tumor
-1.5
3dcf8b3c-c0c5-4dfa-9543-5d30fb_D2
Tumor
-1.6
10c2d629-0287-4511-ac25-f29031_D2
Tumor
-1.6
52c064a7-78d9-4a1a-85b4-27c6d1_D2
Tumor
-1.6
efc971f8-54c5-4531-a792-705ecf_D2
Tumor
-1.6
46c73531-f531-4ec3-97fe-b39d9d_D2
Tumor
-1.6
8d78194e-fbef-4819-a7b5-b73ae9_D2
Tumor
-1.7
ce1e5dfc-2ef1-4633-af93-5ea4d9_D2
Tumor
-1.7
eb3f3494-7057-4afe-b212-e6e9a3_D2
Tumor
-1.7
6530147a-efe9-4df6-ac2f-03ece3_D2
Tumor
-1.7
fbb41c94-aabd-49cc-90b2-882c3e_D2
Tumor
-1.7
08296da7-70ea-44df-8646-09f2cc_D2
Tumor
-1.8
7edfd606-4bee-4529-9fec-1ca7f0_D2
Normal
-1.8
7c7ce2d7-6c8a-424e-8e6c-d14ad1_D2
Tumor
-1.9
161317f3-1a39-438e-af45-cd2502_D2
Tumor
-2.2
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
