Expert Review of Molecular Diagnostics最新文献

Introduction: Lung cancer is a leading cause of death in patients with cancer. Early diagnosis is crucial to improve the prognosis of patients with lung cancer. Plasma circulating cell-free DNA (cfDNA) contains comprehensive genetic and epigenetic information from tissues throughout the body, suggesting that early detection of lung cancer can be done non-invasively, conveniently, and cost-effectively using high-sensitivity techniques such as sequencing.

Areas covered: In this review, we summarize the latest technological innovations, coupled with next-generation sequencing (NGS), regarding genomic alterations, methylation, and fragmentomic features of cfDNA for the early detection of lung cancer, as well as their clinical advances. Additionally, we discuss the suitability of study designs for diagnostic accuracy evaluation for different target populations and clinical questions.

Expert opinion: Currently, cfDNA-based early screening and diagnosis of lung cancer faces many challenges, such as unsatisfactory performance, lack of quality control standards, and poor repeatability. However, the progress of several large prospective studies employing epigenetic features has shown promising predictive performance, which has inspired cfDNA sequencing for future clinical applications. Furthermore, the development of multi-omics markers for lung cancer, including genome-wide methylation and fragmentomics, is expected to play an increasingly important role in the future.

Introduction: Exportin 1 (XPO1) is overexpressed in several solid tumors, and is associated with poor prognosis. Here, we aimed to evaluate the implication of XPO1 expression in solid tumors through a meta-analysis.

Methods: PubMed, Web of Science, and Embase databases were searched for articles published until February 2023. Statistical data of the patients, odds ratios and hazard ratios (HRs), together with their corresponding 95% confidence intervals (CIs) were pooled to assess clinicopathological features and survival outcomes. Besides, the Cancer Genome Atlas (TCGA) was used to explore the prognostic significance of XPO1 in solid tumors.

Results: A total of 22 works, comprising 2595 patients were included in this study. The results suggested that increased XPO1 expression was associated with a higher tumor grade, more lymph node metastasis, advanced tumor stage, and progressively worse total clinical stage. Additionally, high XPO1 expression was associated with worse overall survival (OS) (HR = 1.43, 95% CI = 1.12-1.81, P = 0.004) and shorter progression-free survival (HR = 1.40, 95% CI = 1.07-1.84, P = 0.01). An analysis using the TCGA dataset showed that high XPO1 expression was associated with poor OS and disease-free survival.

Conclusions: XPO1 is a promising prognostic biomarker and may constitute a therapeutic target for solid tumors.PROSPERO registration number: CRD42023399159.

Introduction: Breast cancer (BC) is a major public health concern, and identifying new biomarkers and therapeutic targets is critical to improving patient outcomes. MALAT1, a long noncoding RNA, has emerged as a promising candidate due to its overexpression in BC and the associated poor prognosis. Understanding the role of MALAT1 in BC progression is paramount for the development of effective therapeutic strategies.

Covered area: This review delves into the structure and function of MALAT1, and examines its expression pattern in breast cancer (BC) and its association with different BC subtypes. This review focuses on the interactions between MALAT1 and microRNAs (miRNAs) and the various signaling pathways involved in BC. Furthermore, this study investigates the influence of MALAT1 on the BC tumor microenvironment and the possible influence of MALAT1 on immune checkpoint regulation. This study also sheds light the role of MALAT1 in breast cancer resistance.

Expert opinion: MALAT1 has been shown to play a key role in the progression of BC, highlighting its importance as a potential therapeutic target. Further studies are needed to elucidate the underlying molecular mechanisms by which MALAT1 contributes to the development of BC. In combination with standard therapy, there is a need to evaluates the potential of treatments targeting MALAT1, which may lead to improved treatment outcomes. Moreover, study of MALAT1 as a diagnostic and prognostic marker promises improved BC management. Continued efforts to decipher the functional role of MALAT1 and explore its clinical utility are critical to advancing the BC research field.

Background: Microsatellite instability (MSI) analysis of tumors informs Lynch syndrome testing, therapeutic choice, and prognosis. The status of MSI is mainly detected by polymerase chain reaction coupled with capillary electrophoresis. However, there are various assays with different detection loci and the obtained results may vary. The objective of this study was to evaluate the concordance among different assays and the performance among different laboratories.

Methods: External quality assessment (EQA) for the detection of MSI was performed in 2021 and 2022. Each sample panel consisted of five samples, including microsatellite-stable and MSI tumor tissues. The sample panels were coded at random, and the returned results were compared and scored.

Results: The fully validated sample panels showed appropriate applicability with commercially available assays. There were eight false-negative results in 2021 and five false results (two false-positives and three false-negatives) in 2022. Among the participating laboratories, in 2021, 20 (74.07%) provided completely correct results; in 2022, 38 (92.68%) obtained an optimal score.

Conclusion: The molecular detection of MSI in China exhibited an improvement in a 2-year EQA study. Participation in EQA program is an efficient way of assessing the performance of laboratories and improving their ability.

Background: Comprehensive molecular diagnostics are highly dependent on the technical performance of next-generation sequencing (NGS) pipelines, which are assessed by data quality, cost, turnaround time, and accuracy of detecting a range of sequence and copy number variants.

Methods: A dataset of 285 clinically validated cases (205 retrospective and 80 prospective), carrying complex sequence and copy number variants and thousands of genetic polymorphisms underwent a clinical validation of the KAPA HyperChoice target enrichment system with parallel sample fidelity assessment across a number of NGS panels. The analysis included assessment of peripheral blood, urine, muscle and FFPE tissues.

Results: High-quality and exceptionally uniform data with 100% coverage of all targeted panels were obtained, resulting in complete sensitivity and specificity for all variant types across nearly all panels and tissue types. Overall reduction in cost and turnaround times was obtained with the implementation of a parallel genotyping sample fidelity system.

Conclusion: Results of the laboratory quality improvement study focused on a single NGS pipeline that includes both nuclear and mitochondrial genomes demonstrated utility in the clinical setting to assess a range of referral reasons, necessary due to the complex molecular etiology of human genetic disorders, while reducing costs and turnaround times.

Background: This review presents an overview of field findings on sequence variation of Plasmodium falciparum histidine-rich proteins 2/3 (PfHRP2/3) for which reference types (1-24) have been identified, and its critical impact on PfHRP2-based rapid diagnostic test (RDT) detection.

Research design and methods: This systematic review and meta-analysis was registered with PROSPERO, CRD42022316027, and conducted as per the PRISMA guidelines, and the methodological quality of studies was assessed.

Results: Of the 2184 records identified, 34 studies were included mostly from Africa (47.1%) and Asia (35.3%). The reference PfHRP2 types 1, 2, 3, 6, and 7 are invariably found at proportions ≥ 80-100% in all areas with the exception of The Americas where their proportion is very low. The proteins exhibited high diversity of variants/unknown types, especially for types 1, 2, 4, and 7. Eleven major PfHRP2 epitopes were found at pooled proportion > 90%. The existing models to predict RDT detection are greatly limited by the impact of factors such as low (very low) parasitemia, RDT brand, and PfHRP3 cross-reactivity. PfHRP2 length and presence/number of a given reference repeat type/variant did not seem to impact RDT detection.

Conclusions: PfHRP2/3 are highly polymorphic and current findings are insufficient, conflicting and not convincing enough to conclude on the role of PfHRP2/3 sequence polymorphism in PfHRP2-based RDT detection.

Introduction: This study aimed to update the association between Helicobacter pylori (H. pylori) infection and gastric cancer (GC).

Methods: We searched PubMed, Embase, and Cochrane Library from 1990 to December 2021 to identify prospective studies. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were summarized to validate the relationship between H. pylori infection and GC.

Results: Including 27 studies, findings indicated a strong link between H. pylori and non-cardia gastric cancer (NCGC) in both Europe/North America (OR=5.37, 95%CI:4.39-6.57) and Asia (OR = 2.50, 95%CI:1.89-3.32), and a positive association with cardia gastric cancer (CGC) in Asia (OR = 1.74, 95%CI:1.38-2.19), but an inverse association in European/American populations (OR = 0.64, 95%CI: 0.51 to 0.79). Furthermore, the strength of association was greater in studies that detected H. pylori by immunoblotting versus ELISA, and also in studies testing for H. pylori detection further back in time prior to cancer diagnosis (Ptrend<0.05). Approximately 79% of NCGC in Asia and 87% in Europe/North America, along with 62% of CGC in Asia, could be attributable to H. pylori infection.

Conclusions: The meta-analysis supports the significant attributable risk of H. pylori infection for GC and underscores the potential impact of targeting H. pylori in GC prevention programs.

Prospero registration: CRD42021274120.

Introduction: The hunt for new biomarkers - for the diagnosis of subcategories of disease, or for the monitoring of the efficacy of novel therapeutics - is an increasingly relevant challenge in the current era of precision medicine. In neurodegenerative research, the aim is to look for simple tools which can predict cognitive or motor decline early, and to determine whether these can also be used to test the efficacy of new interventions. Extracellular vesicles (EVs) are thought to play an important role in intercellular communication and have been shown to play a vital role in a number of diseases.

Areas covered: The aim of this review is to examine what we know about EVs in neurodegeneration and to discuss their potential to be diagnostic and prognostic biomarkers in the future. It will cover the techniques used to isolate and study EVs and what is currently known about their presence in neurodegenerative diseases. In particular, we will discuss what is required for standardization in biomarker research, and the challenges associated with using EVs within this framework.

Expert opinion: The technical challenges associated with isolating EVs consistently, combined with the complex techniques required for their efficient analysis, might preclude 'pure' EV populations from being used as effective biomarkers. Whilst biomarker discovery is important for more effective diagnosis, monitoring, prediction and prognosis in neurodegenerative disease, reproducibility and ease-of-use should be the priorities.

Introduction: Precision medicine based on the driver genes mutation status is the current systemic therapeutic paradigm in patients with lung cancer. Next-generation sequencing (NGS) has emerged as a powerful platform for molecular diagnosis by virtue of high-throughput and massively parallel sequencing. Liquid biopsy also enabled the dynamic monitoring and comprehensive profiling of lung cancer in a noninvasive manner. However, challenges remain in the field of technology and clinical applications, especially in the era of immunotherapy.

Areas covered: Here, we update the role of NGS in the context of lung cancer screening, molecular diagnosis, predictive and prognostic biomarkers, and guiding personalized treatment.

Expert opinion: The NGS application for actable genomic alternation has greatly changed the therapeutic landscape in patients with lung cancer including perioperative setting and advanced stage. Meanwhile, emerging evidence has shown the potential of other applications such as early screening and detection, and MRD. However, challenges remain such as the lack of standardized protocols across different platforms and bioinformatics analysis pipelines, and the complexity of interpreting and leveraging numerous genomic mutation messages for therapy selection. Future research is needed to overcome these challenges and expand the applications of NGS to other aspects such as immunotherapy.