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1.
Br J Cancer ; 115(4): 403-10, 2016 Aug 09.
Artigo em Inglês | MEDLINE | ID: mdl-27441494

RESUMO

Barrett's oesophagus (BE) is the premalignant condition associated with the development of oesophageal adenocarcinoma (OAC). Diagnostically, p53 immunohistochemistry remains the only biomarker recommended clinically to aid histopathological diagnosis. The emerging mutational profile of BE is one of highly heterogeneous lesions at the genomic level with many mutations already occurring in non-dysplastic tissue. As well as point mutations, larger scale copy-number changes appear to have a key role in the progression to OAC and clinically applicable assays for the reliable detection of aneuploidy will be important to incorporate into future clinical management of patients. For some patients, the transition to malignancy may occur rapidly through a genome-doubling event or chromosomal catastrophe, termed chromothripsis, and detecting these patients may prove especially difficult. Given the heterogeneous nature of this disease, sampling methods to overcome inherent bias from endoscopic biopsies coupled with the development of more objective biomarkers than the current reliance on histopathology will be required for risk stratification. The aim of this approach will be to spare low-risk patients unnecessary procedures, as well as to provide endoscopic therapy to the patients at highest risk, thereby avoiding the burden of incurable metastatic disease.


Assuntos
Adenocarcinoma/genética , Esôfago de Barrett/genética , Variações do Número de Cópias de DNA/genética , Neoplasias Esofágicas/genética , Instabilidade Genômica/genética , Mutação/genética , Lesões Pré-Cancerosas/genética , Aneuploidia , Cromotripsia , Proteínas de Ligação a DNA , Progressão da Doença , Humanos , Proteínas de Membrana/genética , Miosinas/genética , Proteínas do Tecido Nervoso/genética , Proteínas Nucleares/genética , Semaforinas , Proteína Smad4/genética , Fatores de Transcrição/genética , Proteína Supressora de Tumor p53/genética , Proteínas Supressoras de Tumor/genética
2.
World J Surg ; 39(3): 568-77, 2015 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-24844657

RESUMO

BACKGROUND: There is need for the application of biomarkers in a clinical setting in order to improve patient care. Current surveillance methods are costly for health care systems and invasive for patients, and subjective methodology leads to frequent misdiagnosis. This review summarises the most advanced recent and relevant literature in the field of biomarker development in the context of Barrett's esophagus and comments on their potential application. Studies included roughly correlate with Early Detection Research Network phases three and four. RECENT FINDINGS: A number of individual candidate and panels of biomarkers have been investigated recently. These include: gene-specific mutations such as loss of heterozygosity, copy number alterations (in particular aneuploidy) methylation panels, altered gene expression, and glycosylation assayed by lectin binding, as well as genetic and clonal diversity measures. Immunostaining for p53 is the only candidate biomarker deemed "ready for prime time." This has been recommended for use clinically as an adjunct to histological diagnosis of dysplastic Barrett's esophagus in the 2014 British Society of Gastroenterology guidelines on the diagnosis and management of Barrett's esophagus. CONCLUSIONS: Progress is being made but in many cases further prospective validation studies are required before clinical application can take place. Limitations to furthering these studies include the large patient cohorts required for prospective validation studies, costs associated with studies, and reproducibility of methods across laboratories. Continued research in this area is strongly recommended as, in the long run, biomarker application has the potential to significantly improve patient care.


Assuntos
Adenocarcinoma/genética , Esôfago de Barrett/genética , Transformação Celular Neoplásica/genética , Neoplasias Esofágicas/genética , Vigilância da População/métodos , Lesões Pré-Cancerosas/genética , Adenocarcinoma/química , Adenocarcinoma/patologia , Esôfago de Barrett/metabolismo , Esôfago de Barrett/patologia , Biomarcadores/análise , Transformação Celular Neoplásica/química , Transformação Celular Neoplásica/patologia , Neoplasias Esofágicas/química , Neoplasias Esofágicas/patologia , Expressão Gênica , Humanos , Mutação , Lesões Pré-Cancerosas/química , Lesões Pré-Cancerosas/patologia , Proteína Supressora de Tumor p53/análise
3.
Nat Med ; 26(11): 1726-1732, 2020 11.
Artigo em Inglês | MEDLINE | ID: mdl-32895572

RESUMO

Recent studies show that aneuploidy and driver gene mutations precede cancer diagnosis by many years1-4. We assess whether these genomic signals can be used for early detection and pre-emptive cancer treatment using the neoplastic precursor lesion Barrett's esophagus as an exemplar5. Shallow whole-genome sequencing of 777 biopsies, sampled from 88 patients in Barrett's esophagus surveillance over a period of up to 15 years, shows that genomic signals can distinguish progressive from stable disease even 10 years before histopathological transformation. These findings are validated on two independent cohorts of 76 and 248 patients. These methods are low-cost and applicable to standard clinical biopsy samples. Compared with current management guidelines based on histopathology and clinical presentation, genomic classification enables earlier treatment for high-risk patients as well as reduction of unnecessary treatment and monitoring for patients who are unlikely to develop cancer.


Assuntos
Esôfago de Barrett/genética , Variações do Número de Cópias de DNA/genética , Neoplasias Esofágicas/genética , Lesões Pré-Cancerosas/genética , Idoso , Aneuploidia , Esôfago de Barrett/epidemiologia , Esôfago de Barrett/patologia , Biópsia , Neoplasias Esofágicas/epidemiologia , Neoplasias Esofágicas/patologia , Feminino , Genoma Humano/genética , Genômica , Humanos , Masculino , Pessoa de Meia-Idade , Lesões Pré-Cancerosas/epidemiologia , Lesões Pré-Cancerosas/patologia , Sequenciamento Completo do Genoma
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