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1.
Histopathology ; 84(7): 1224-1237, 2024 Jun.
Artículo en Inglés | MEDLINE | ID: mdl-38422618

RESUMEN

AIMS: Liquid biopsy (LBx)-based next-generation sequencing (NGS) of circulating tumour DNA (ctDNA) can facilitate molecular profiling of haematopoietic neoplasms (HNs), particularly when tissue-based NGS is infeasible. METHODS AND RESULTS: We studied HN LBx samples tested with FoundationOne Liquid CDx, FoundationOne Liquid, or FoundationACT between July 2016 and March 2022. We identified 271 samples: 89 non-Hodgkin lymphoma (NHL), 43 plasma-cell neoplasm (PCN), 41 histiocytoses, 27 myelodysplastic syndrome (MDS), 25 diffuse large B-cell lymphoma (DLBCL), 22 myeloproliferative neoplasm (MPN), 14 Hodgkin lymphoma (HL), and 10 acute myeloid leukaemia (AML). Among 73.4% with detectable pathogenic alterations, median maximum somatic allele frequency (MSAF) was 16.6%, with AML (36.2%), MDS (19.7%), and MPN (44.5%) having higher MSAFs than DLBCL (3.9%), NHL (8.4%), HL (1.5%), PCN (2.8%), and histiocytoses (1.8%) (P = 0.001). LBx detected characteristic alterations across HNs, including in TP53, KRAS, MYD88, and BTK in NHLs; TP53, KRAS, NRAS, and BRAF in PCNs; IGH in DLBCL; TP53, ATM, and PDCD1LG2 in HL; BRAF and MAP2K1 in histiocytoses; TP53, SF3B1, DNMT3A, TET2, and ASXL1 in MDS; JAK2 in MPNs; and FLT3, IDH2, and NPM1 in AML. Among 24 samples, the positive percent agreement by LBx was 75.7% for variants present in paired buffy coat, marrow, or tissues. Also, 75.0% of pairs exhibited alterations only present on LBx. These were predominantly subclonal (clonal fraction of 3.8%), reflecting the analytical sensitivity of LBx. CONCLUSION: These data demonstrate that LBx can detect relevant genomic alterations across HNs, including at low clonal fractions, suggesting a potential clinical utility for identifying residual or emerging therapy-resistant clones that may be undetectable in site-specific tissue biopsies.


Asunto(s)
Biomarcadores de Tumor , ADN Tumoral Circulante , Secuenciación de Nucleótidos de Alto Rendimiento , Humanos , Biopsia Líquida , ADN Tumoral Circulante/genética , ADN Tumoral Circulante/sangre , ADN Tumoral Circulante/análisis , Biomarcadores de Tumor/genética , Masculino , Persona de Mediana Edad , Femenino , Anciano , Adulto , Mutación , Neoplasias Hematológicas/genética , Neoplasias Hematológicas/patología , Neoplasias Hematológicas/diagnóstico , Nucleofosmina , Trastornos Mieloproliferativos/genética , Trastornos Mieloproliferativos/diagnóstico , Trastornos Mieloproliferativos/patología , Trastornos Mieloproliferativos/sangre
2.
Elife ; 82019 04 16.
Artículo en Inglés | MEDLINE | ID: mdl-30990165

RESUMEN

Over half of breast-cancer-related deaths are due to recurrence 5 or more years after initial diagnosis and treatment. This latency suggests that a population of residual tumor cells can survive treatment and persist in a dormant state for many years. The role of the microenvironment in regulating the survival and proliferation of residual cells following therapy remains unexplored. Using a conditional mouse model for Her2-driven breast cancer, we identify interactions between residual tumor cells and their microenvironment as critical for promoting tumor recurrence. Her2 downregulation leads to an inflammatory program driven by TNFα/NFκB signaling, which promotes immune cell infiltration in regressing and residual tumors. The cytokine CCL5 is elevated following Her2 downregulation and remains high in residual tumors. CCL5 promotes tumor recurrence by recruiting CCR5-expressing macrophages, which may contribute to collagen deposition in residual tumors. Blocking this TNFα-CCL5-macrophage axis may be efficacious in preventing breast cancer recurrence.


Asunto(s)
Neoplasias de la Mama/fisiopatología , Quimiocina CCL5/metabolismo , Animales , Modelos Animales de Enfermedad , Macrófagos/inmunología , Ratones , Neoplasia Residual/fisiopatología , Receptor ErbB-2/metabolismo , Recurrencia , Factor de Necrosis Tumoral alfa/metabolismo
3.
Mol Cancer Res ; 16(4): 599-609, 2018 04.
Artículo en Inglés | MEDLINE | ID: mdl-29330285

RESUMEN

Tumor recurrence is a leading cause of death and is thought to arise from a population of residual cells that survive treatment. These residual cancer cells can persist, locally or at distant sites, for years or decades. Therefore, understanding the pathways that regulate residual cancer cell survival may suggest opportunities for targeting these cells to prevent recurrence. Previously, it was observed that the proapoptotic protein (PAWR/Par-4) negatively regulates residual cell survival and recurrence in mice and humans. However, the mechanistic underpinnings on how Par-4 expression is regulated are unclear. Here, it is demonstrated that Par-4 is transcriptionally upregulated following treatment with multiple drugs targeting the PI3K-Akt-mTOR signaling pathway, and identify the Forkhead family of transcription factors as mediators of this upregulation. Mechanistically, Foxo3a directly binds to the Par-4 promoter and activates its transcription following inhibition of the PI3K-Akt pathway. This Foxo-dependent Par-4 upregulation limits the long-term survival of residual cells following treatment with therapeutics that target the PI3K-Akt pathway. Taken together, these results indicate that residual breast cancer tumor cell survival and recurrence requires circumventing Foxo-driven Par-4 upregulation and suggest that approaches to enforce Par-4 expression may prevent residual cell survival and recurrence. Mol Cancer Res; 16(4); 599-609. ©2018 AACR.


Asunto(s)
Proteínas Reguladoras de la Apoptosis/genética , Neoplasias de la Mama/metabolismo , Factores de Transcripción Forkhead/metabolismo , Lapatinib/farmacología , Recurrencia Local de Neoplasia/metabolismo , Regulación hacia Arriba , Proteínas Reguladoras de la Apoptosis/metabolismo , Línea Celular Tumoral , Supervivencia Celular/efectos de los fármacos , Femenino , Regulación Neoplásica de la Expresión Génica/efectos de los fármacos , Humanos , Células MCF-7 , Fosfatidilinositol 3-Quinasas/metabolismo , Regiones Promotoras Genéticas , Proteínas Proto-Oncogénicas c-akt/metabolismo , Transducción de Señal/efectos de los fármacos
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