9 results on '"Tran, Bich N. H."'
Search Results
2. Detection of rare mutations, copy number alterations, and methylation in the same template DNA molecules.
- Author
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Yuxuan Wang, Douville, Christopher, Cohen, Joshua D., Mattox, Austin, Curtis, Sam, Silliman, Natalie, Popoli, Maria, Ptak, Janine, Dobbyn, Lisa, Nehme, Nadine, Dudley, Jonathan C., Summers, Mahmoud, Ming Zhang, Ho-Pham, Lan T., Tran, Bich N. H., Tran, Thach S., Nguyen, Tuan V., Bettegowda, Chetan, Papadopoulos, Nickolas, and Kinzler, Kenneth W.
- Subjects
CELL-free DNA ,DNA ,METHYLATION ,NUCLEOTIDE sequence ,MOLECULES - Abstract
The analysis of cell-free DNA (cfDNA) from plasma offers great promise for the earlier detection of cancer. At present, changes in DNA sequence, methylation, or copy number are the most sensitive ways to detect the presence of cancer. To further increase the sensitivity of such assays with limited amounts of sample, it would be useful to be able to evaluate the same template molecules for all these changes. Here, we report an approach, called MethylSaferSeqS, that achieves this goal, and can be applied to any standard library preparation method suitable for massively parallel sequencing. The innovative step was to copy both strands of each DNA-barcoded molecule with a primer that allows the subsequent separation of the original strands (retaining their 5-methylcytosine residues) from the copied strands (in which the 5-methylcytosine residues are replaced with unmodified cytosine residues). The epigenetic and genetic alterations present in the DNA molecules can then be obtained from the original and copied strands, respectively. We applied this approach to plasma from 265 individuals, including 198 with cancers of the pancreas, ovary, lung, and colon, and found the expected patterns of mutations, copy number alterations, and methylation. Furthermore, we could determine which original template DNA molecules were methylated and/or mutated. MethylSaferSeqS should be useful for addressing a variety of questions relating genetics and epigenetics. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
3. Enhancement of Absolute Fracture Risk Prognosis with Genetic Marker: The Collagen I Alpha 1 Gene
- Author
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Tran, Bich N. H., Nguyen, Nguyen D., Center, Jacqueline R., Eisman, John A., and Nguyen, Tuan V.
- Published
- 2009
- Full Text
- View/download PDF
4. Association between LRP5 polymorphism and bone mineral density: a Bayesian meta-analysis.
- Author
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Tran, Bich N. H., Nguyen, Nguyen D., Eisman, John A., and Nguyen, Tuan V.
- Subjects
- *
LIPOPROTEINS , *PROTEINS , *GENES , *BONE density , *GENETIC research - Abstract
Background: The low-density lipoprotein receptor-related protein 5 gene (LRP5) was identified to be linked to the variation in BMD in high bone mass pedigrees. Subsequent population-based studies of the association between the LRP5 gene and BMD have yielded conflicting results. The present study was aimed at examining the association between LRP5 gene and BMD by using meta-analysis. Methods: A systematic electronic search of literature was conducted to identify all published studies in English on the association between LRP5 gene and osteoporosis-related phenotypes, including bone mineral density and fracture. BMD data were summarized from individual studies by LRP5 genotype, and a synthesis of data was performed with random-effects meta-analyses. After excluding studies on animal and review papers, there were 19 studies for the synthesis. Among these studies, 10 studies used the rs3736228 (A1330V) polymorphism and reported BMD values. Results: The 10 eligible studies comprised 16,705 individuals, with the majority being women (n = 8444), aged between 18 - 81 years. The overall distribution of genotype frequencies was: AA, 68%, AV and VV, 32%. However, the genotype frequency varied significantly within as well as between ethnic populations. On random-effects meta-analysis, lumbar spine BMD among individuals with the AA genotype was on average 0.018 (95% confidence interval [CI]: 0.012 to 0.023) g/cm2 higher than those with either AV or VV genotype. Similarly, femoral neck BMD among carriers of the AA genotype was 0.011 (95%CI: 0.004 to 0.017) g/cm2 higher than those without the genotype. While there was no significant heterogeneity in the association between the A1330V polymorphism and lumbar spine BMD (p = 0.55), the association was heterogeneous for femoral neck BMD (p = 0.05). The probability that the difference is greater than one standard deviation was 0.34 for femoral neck BMD and 0.54 for lumbar spine BMD. Conclusion: These results suggest that there is a modest effect of the A1330V polymorphism on BMD in the general population, and that the modest association may limit its clinical use. [ABSTRACT FROM AUTHOR]
- Published
- 2008
- Full Text
- View/download PDF
5. The association between patient-reported experiences with hospital food services and recovery outcomes - A population survey of patients from 75 public hospitals.
- Author
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Dai Z, Tran BNH, Watson DE, and Tan ECK
- Subjects
- Humans, Female, Male, Cross-Sectional Studies, Middle Aged, Retrospective Studies, Aged, Adult, Surveys and Questionnaires, Patient Reported Outcome Measures, Patient Discharge, Hospitals, Public, Food Service, Hospital, Patient Satisfaction
- Abstract
Background: The quality of food service is vital to patients' experiences in care and recovery in hospitals. This study aimed to identify opportunities for improving hospital food services to enhance overall patient experiences and outcomes., Methods: This retrospective cross-sectional study uses the Adult Admitted Patient Survey in 2019. Adult patients discharged from acute or rehabilitation care across 75 public hospitals were surveyed about their in-hospital experiences, including ratings of hospital food services, overall ratings of hospital care, complications acquired, and delayed discharge due to feeling unwell. Population weighting was applied in descriptive and multivariable logistic regression analyses. We used adjusted odds ratios (AORs) and 95% confidence intervals (CIs) to estimate the association between hospital food service and the overall rating of hospital care and two recovery outcomes., Results: Eight in ten participants (weighted, 16,919/21,900) consumed food in a hospital [mean age: 60.6 years (SE:0.5; SD: 18.3), 53% female]. Compared to a fair rating, adults who rated "poor/very poor" of hospital food service were 2.7 times more likely to report dissatisfaction with overall care in the hospital [Adjusted Odds Ratio (AOR) (95% CI): 2.73 (1.49, 4.99)], 1.4 times more likely to report complications [AOR:1.43 (1.11, 1.83)] and 1.9 times more likely to report delayed discharge [AOR 1.85 (1.30, 2.62)]. More moderate ratings were associated with attenuation of risk for these outcomes. Furthermore, the magnitude of the effect for these associations was more substantial among patients from non-English-speaking backgrounds (n = 1,759) after controlling for patient characteristics. Food service attributes, including received food as ordered, food delivered within reach, the taste of the meals, and meal interruption, were significant factors for the outcomes assessed., Conclusion: These findings underscore the importance of patients' positive experiences of hospital food service in recovery outcomes and identify several food service indicators that can be used to monitor and improve patient experiences and recovery outcomes in hospitals., Competing Interests: Declaration of competing interest The authors declare no conflicts of interest. BT and DW are employees of the Bureau of Health Information, New South Wales, Australia., (Copyright © 2024. Published by Elsevier Ltd.)
- Published
- 2024
- Full Text
- View/download PDF
6. Machine learning to detect the SINEs of cancer.
- Author
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Douville C, Lahouel K, Kuo A, Grant H, Avigdor BE, Curtis SD, Summers M, Cohen JD, Wang Y, Mattox A, Dudley J, Dobbyn L, Popoli M, Ptak J, Nehme N, Silliman N, Blair C, Romans K, Thoburn C, Gizzi J, Schoen RE, Tie J, Gibbs P, Ho-Pham LT, Tran BNH, Tran TS, Nguyen TV, Goggins M, Wolfgang CL, Wang TL, Shih IM, Lennon AM, Hruban RH, Bettegowda C, Kinzler KW, Papadopoulos N, Vogelstein B, and Tomasetti C
- Subjects
- Humans, Reproducibility of Results, Short Interspersed Nucleotide Elements, Machine Learning, Aneuploidy, Neoplasms diagnosis, Neoplasms genetics
- Abstract
We previously described an approach called RealSeqS to evaluate aneuploidy in plasma cell-free DNA through the amplification of ~350,000 repeated elements with a single primer. We hypothesized that an unbiased evaluation of the large amount of sequencing data obtained with RealSeqS might reveal other differences between plasma samples from patients with and without cancer. This hypothesis was tested through the development of a machine learning approach called Alu Profile Learning Using Sequencing (A-PLUS) and its application to 7615 samples from 5178 individuals, 2073 with solid cancer and the remainder without cancer. Samples from patients with cancer and controls were prespecified into four cohorts used for model training, analyte integration, and threshold determination, validation, and reproducibility. A-PLUS alone provided a sensitivity of 40.5% across 11 different cancer types in the validation cohort, at a specificity of 98.5%. Combining A-PLUS with aneuploidy and eight common protein biomarkers detected 51% of the cancers at 98.9% specificity. We found that part of the power of A-PLUS could be ascribed to a single feature-the global reduction of AluS subfamily elements in the circulating DNA of patients with solid cancer. We confirmed this reduction through the analysis of another independent dataset obtained with a different approach (whole-genome sequencing). The evaluation of Alu elements may therefore have the potential to enhance the performance of several methods designed for the earlier detection of cancer.
- Published
- 2024
- Full Text
- View/download PDF
7. Detection of rare mutations, copy number alterations, and methylation in the same template DNA molecules.
- Author
-
Wang Y, Douville C, Cohen JD, Mattox A, Curtis S, Silliman N, Popoli M, Ptak J, Dobbyn L, Nehme N, Dudley JC, Summers M, Zhang M, Ho-Pham LT, Tran BNH, Tran TS, Nguyen TV, Bettegowda C, Papadopoulos N, Kinzler KW, and Vogelstein B
- Subjects
- Female, Humans, Methylation, 5-Methylcytosine, DNA genetics, Mutation, DNA Methylation, DNA Copy Number Variations, Neoplasms genetics
- Abstract
The analysis of cell-free DNA (cfDNA) from plasma offers great promise for the earlier detection of cancer. At present, changes in DNA sequence, methylation, or copy number are the most sensitive ways to detect the presence of cancer. To further increase the sensitivity of such assays with limited amounts of sample, it would be useful to be able to evaluate the same template molecules for all these changes. Here, we report an approach, called MethylSaferSeqS, that achieves this goal, and can be applied to any standard library preparation method suitable for massively parallel sequencing. The innovative step was to copy both strands of each DNA-barcoded molecule with a primer that allows the subsequent separation of the original strands (retaining their 5-methylcytosine residues) from the copied strands (in which the 5-methylcytosine residues are replaced with unmodified cytosine residues). The epigenetic and genetic alterations present in the DNA molecules can then be obtained from the original and copied strands, respectively. We applied this approach to plasma from 265 individuals, including 198 with cancers of the pancreas, ovary, lung, and colon, and found the expected patterns of mutations, copy number alterations, and methylation. Furthermore, we could determine which original template DNA molecules were methylated and/or mutated. MethylSaferSeqS should be useful for addressing a variety of questions relating genetics and epigenetics.
- Published
- 2023
- Full Text
- View/download PDF
8. Trends in colorectal cancer incidence in Ho Chi Minh City, Vietnam (1996-2015): Joinpoint regression and age-period-cohort analyses.
- Author
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Pham DX, Phung AHT, Nguyen HD, Bui TD, Mai LD, Tran BNH, Tran TS, Nguyen TV, and Ho-Pham LT
- Subjects
- Cohort Studies, Female, Humans, Incidence, Male, Middle Aged, Registries, United States, Vietnam epidemiology, Rectal Neoplasms
- Abstract
Background: Little is known about the trends in colorectal cancer (CRC) in Vietnam. We aimed to investigate the trends in epidemiology and anatomical subsites of CRC in Ho Chi Minh City, Vietnam., Methods: Based on the Ho Chi Minh City Cancer Registry data during 1996-2015, we calculated the average annual percent changes (AAPCs) of the age-standardized incidence rates (ASRs) by sex, age groups, and anatomical subsites, using joinpoint regressions analysis. We further performed age-period-cohort (APC) analysis using the United States National Cancer Institute's web-based statistical tool to explore the underlying reason for the incidence trend., Results: Over 20 years the overall ASR of CRC increased from 10.5 to 17.9 per 100,000, a 1.7-fold increase. CRC incidence elevated more rapidly in men (AAPC 4.7, 95%CI 2.2-7.3) than in women (AAPC 2.6, 95%CI 0.6-4.8). The highest and lowest increasing rates of ASRs were observed in the 50-64-year-old age group (AAPC 5.3, 95%CI 2.8-7.9) and < 50-year-old age group (AAPC 1.1, 95%CI -0.7 to 2.9), respectively. Regarding subsites, rectal cancer had the highest rate of increase (AAPC 3.3, 95%CI 1.0-5.7). Furthermore, the APC analysis indicated significant increases in CRC incidence in birth cohorts after 1975 in both genders., Conclusions: The CRC incidence in Ho Chi Minh City increased, with the more prominent rates being among men and older populations, in rectal subsites, and in people born after 1975. The upward trend of CRC incidence in Ho Chi Minh City may be due to the adoption of a westernized lifestyle., (Copyright © 2022 Elsevier Ltd. All rights reserved.)
- Published
- 2022
- Full Text
- View/download PDF
9. Genetic profiling and individualized prognosis of fracture.
- Author
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Tran BN, Nguyen ND, Nguyen VX, Center JR, Eisman JA, and Nguyen TV
- Subjects
- Absorptiometry, Photon methods, Aged, Area Under Curve, Bone Density, Female, Fracture Healing, Fractures, Bone diagnostic imaging, Humans, Male, Middle Aged, Osteoporosis diagnostic imaging, Prognosis, Risk, Risk Factors, Fractures, Bone diagnosis, Fractures, Bone genetics, Gene Expression Profiling, Osteoporosis diagnosis, Osteoporosis genetics
- Abstract
Fragility fracture is a serious public health problem in the world. The risk of fracture is determined by genetic and nongenetic clinical risk factors. This study sought to quantify the contribution of genetic profiling to fracture prognosis. The study was built on the ongoing Dubbo Osteoporosis Epidemiology Study, in which fracture and risk factors of 858 men and 1358 women had been monitored continuously from 1989 and 2008. Fragility fracture was ascertained by radiologic reports. Bone mineral density at the femoral neck was measured by dual-energy X-ray absorptiometry (DXA). Fifty independent genes with allele frequencies ranging from 0.01 to 0.60 and relative risks (RRs) ranging from 1.01 to 3.0 were simulated. Three predictive models were fitted to the data in which fracture was a function of (1) clinical risk factors only, (2) genes only, and (3) clinical risk factors and 50 genes. The area under the curve (AUC) for model 1 was 0.77, which was lower than that of model II (AUC = 0.82). Adding genes into the clinical risk factors model (model 3) increased the AUC to 0.88 and improved the accuracy of fracture classification by 45%, with most (41%) improvement in specificity. In the presence of clinical risk factors, the number of genes required to achieve an AUC of 0.85 was around 25. These results suggest that genetic profiling could enhance the predictive accuracy of fracture prognosis and help to identify high-risk individuals for appropriate management of osteoporosis or intervention., (Copyright © 2011 American Society for Bone and Mineral Research.)
- Published
- 2011
- Full Text
- View/download PDF
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