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	<title>DNA methylation biomarkers &#8211; Science</title>
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	<title>DNA methylation biomarkers &#8211; Science</title>
	<link>https://scienmag.com</link>
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		<title>Ketamine’s Impact on Epigenetic Aging in MDD, PTSD</title>
		<link>https://scienmag.com/ketamines-impact-on-epigenetic-aging-in-mdd-ptsd/</link>
		
		<dc:creator><![CDATA[SCIENMAG]]></dc:creator>
		<pubDate>Sat, 01 Nov 2025 09:56:53 +0000</pubDate>
				<category><![CDATA[Psychology & Psychiatry]]></category>
		<category><![CDATA[accelerated biological aging in depression]]></category>
		<category><![CDATA[cellular aging and mental health]]></category>
		<category><![CDATA[DNA methylation biomarkers]]></category>
		<category><![CDATA[epigenetic clocks in mental health]]></category>
		<category><![CDATA[ketamine and epigenetic aging]]></category>
		<category><![CDATA[ketamine's impact on mood disorders]]></category>
		<category><![CDATA[major depressive disorder treatment]]></category>
		<category><![CDATA[molecular mechanisms of ketamine]]></category>
		<category><![CDATA[psychiatric treatment advances]]></category>
		<category><![CDATA[PTSD therapeutic interventions]]></category>
		<category><![CDATA[rapid antidepressant effects of ketamine]]></category>
		<category><![CDATA[translational psychiatry research]]></category>
		<guid isPermaLink="false">https://scienmag.com/ketamines-impact-on-epigenetic-aging-in-mdd-ptsd/</guid>

					<description><![CDATA[In a groundbreaking pilot study poised to reshape our understanding of psychiatric treatment, researchers have uncovered compelling evidence that ketamine—a drug primarily recognized for its rapid antidepressant properties—may also exert profound effects on epigenetic aging and DNA methylation biomarkers in patients suffering from Major Depressive Disorder (MDD) and Post-Traumatic Stress Disorder (PTSD). This new research, [&#8230;]]]></description>
										<content:encoded><![CDATA[<p>In a groundbreaking pilot study poised to reshape our understanding of psychiatric treatment, researchers have uncovered compelling evidence that ketamine—a drug primarily recognized for its rapid antidepressant properties—may also exert profound effects on epigenetic aging and DNA methylation biomarkers in patients suffering from Major Depressive Disorder (MDD) and Post-Traumatic Stress Disorder (PTSD). This new research, published in Translational Psychiatry, dives deep into the molecular underpinnings of ketamine’s therapeutic impact, painting a complex portrait of how psychiatric intervention might not only alleviate symptoms but also potentially reverse aspects of biological aging at the epigenetic level.</p>
<p>The study centers on epigenetic aging, a process by which the biological age of an individual’s cells, as determined by DNA methylation patterns, may diverge from their chronological age. Epigenetic clocks have emerged as vital tools in quantifying this disparity, which can reflect underlying stresses and pathologies. Accelerated epigenetic aging has been linked to numerous psychiatric and medical conditions, including mood disorders like MDD and the chronic stress-associated condition of PTSD. By exploring whether ketamine influences these methylation patterns, the scientists aimed to determine if the drug’s impact transcends neurotransmitter modulation and extends into the realm of cellular aging.</p>
<p>Ketamine, traditionally an anesthetic agent, has surged to prominence for its rapid and robust antidepressant effects, especially in treatment-resistant cases of MDD. Despite its clinical efficacy, the neurobiological mechanisms underpinning these benefits remain only partly understood. The current study bridges a critical knowledge gap by scrutinizing how ketamine interacts with the epigenome—the dynamic interface between genes and the environment—uncovering a nexus where psychiatric intervention can alter the trajectory of biological aging processes.</p>
<p>The pilot study enrolled patients diagnosed with MDD and PTSD, conditions known to predispose individuals to increased biological aging and epigenetic dysregulation. Utilizing genome-wide DNA methylation profiling techniques, the researchers systematically assessed epigenetic age before and after a regimen of ketamine infusions. These analyses focused on methylation biomarkers, which serve as sensitive indicators of cellular aging and stress exposure, providing a quantitative framework to measure epigenetic age acceleration or deceleration.</p>
<p>Remarkably, the findings demonstrated a significant reduction in epigenetic age acceleration following ketamine treatment. This suggests that ketamine’s therapeutic effects are not limited to ameliorating clinical symptoms but may also involve a biological resetting of cellular aging markers. Such an effect spotlights ketamine as a potential modulator of the aging process within brain and peripheral tissues affected by psychiatric disorders, potentially reevaluating its role beyond symptom management towards disease modification.</p>
<p>While the molecular pathways mediating these changes remain to be fully elucidated, several hypotheses are emerging. Current data point to ketamine’s ability to influence synaptic plasticity, neuroinflammation, and oxidative stress—factors intimately linked to epigenetic regulation. Through modulating these cellular processes, ketamine might help restore aberrant methylation patterns that accumulate with chronic psychiatric illness and stress, effectively decelerating the epigenetic clock.</p>
<p>The methodology employed in this study reflects state-of-the-art epigenomic technologies, leveraging high-throughput methylation arrays to map DNA modifications with unprecedented resolution. This comprehensive approach ensures that observed changes are robust and reproducible, providing a strong foundation for interpreting how ketamine reshapes the molecular landscape of aging in psychiatric populations.</p>
<p>Despite the promising nature of these results, the study’s pilot status necessitates cautious interpretation. The sample size was limited, and longer-term follow-up is essential to determine the durability of epigenetic effects. Furthermore, the complex interplay between medication dosage, treatment frequency, and individual genetic factors warrants deeper investigation to optimize protocols for epigenetic rejuvenation.</p>
<p>These insights have vast translational implications. If replicated in larger cohorts, ketamine’s capacity to reverse epigenetic aging could revolutionize therapeutic strategies for MDD and PTSD, moving from symptom palliation to disease modification. It also opens the door to exploring epigenetic biomarkers as predictive tools for treatment response and personalized medicine approaches in psychiatry.</p>
<p>Moreover, the research underscores the broader significance of epigenetic changes as both mechanistic drivers and potential therapeutic targets across neuropsychiatric conditions. Interventions like ketamine that can modulate DNA methylation landscapes may herald a new era of psychiatric care, integrating molecular and clinical endpoints to enhance outcomes.</p>
<p>Beyond psychiatric illness, these findings raise tantalizing questions about ketamine’s potential utility in mitigating aging-related processes in other systems. Epigenetic aging correlates with myriad diseases, from cardiovascular dysfunction to neurodegeneration. Thus, ketamine or derivatives might find applications in broader geroprotective strategies, though this remains speculative at this stage.</p>
<p>As the field moves forward, integrating multi-omic approaches—including transcriptomics, proteomics, and metabolomics—alongside epigenetics will be critical in unraveling the full spectrum of ketamine’s biological effects. Additionally, mechanistic studies pinpointing how ketamine-induced methylation changes impact gene expression and cellular function will shed light on the pathways underpinning psychiatric remission and aging reversal.</p>
<p>In sum, this pioneering investigation delivers a compelling narrative: ketamine, beyond its rapid mood-altering effects, may recalibrate the biological aging clock at the epigenomic level in patients with MDD and PTSD. This paradigm-shifting insight invites a reexamination of how psychiatric therapeutics are conceptualized, proposing that effectively treating mental illness may also entail rejuvenating the epigenetic integrity of cells compromised by chronic stress and pathology.</p>
<p>As the psychiatric and neuroscience communities grapple with these findings, one thing is clear—ketamine’s story is evolving from a promising antidepressant to a potential agent of epigenetic transformation. The implications for clinical practice, biomarker development, and the biology of aging are profound, sparking excitement and curiosity for further exploration.</p>
<p>The next chapter in this scientific saga will hinge on expanding sample sizes, refining methodologies, and translating these epigenetic signatures into tangible clinical benefits. Should these efforts succeed, we may witness the dawn of a revolutionary therapeutic era where treatments heal not only the mind but also the molecular scars of psychiatric disease embedded within our very DNA.</p>
<p>This study thus represents a critical milestone in merging clinical psychiatry with molecular biology, highlighting the extraordinary potential of epigenetic science to unlock new horizons in mental health treatment and biological aging.</p>
<hr />
<p><strong>Subject of Research</strong>: Epigenetic aging and DNA methylation changes following ketamine treatment in patients with Major Depressive Disorder and Post-Traumatic Stress Disorder.</p>
<p><strong>Article Title</strong>: Epigenetic aging and DNA methylation biomarker changes following ketamine treatment in patients with MDD and PTSD: a pilot study.</p>
<p><strong>Article References</strong>:<br />
Dawson, K.L., Carangan, A.M.J.M., Klunder, J. <em>et al.</em> Epigenetic aging and DNA methylation biomarker changes following ketamine treatment in patients with MDD and PTSD: a pilot study. <em>Transl Psychiatry</em> <strong>15</strong>, 452 (2025). <a href="https://doi.org/10.1038/s41398-025-03683-y">https://doi.org/10.1038/s41398-025-03683-y</a></p>
<p><strong>Image Credits</strong>: AI Generated</p>
<p><strong>DOI</strong>: <a href="https://doi.org/10.1038/s41398-025-03683-y">https://doi.org/10.1038/s41398-025-03683-y</a></p>
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		<post-id xmlns="com-wordpress:feed-additions:1">99678</post-id>	</item>
		<item>
		<title>Blood Methylomes Predict Amisulpride Response in Psychosis</title>
		<link>https://scienmag.com/blood-methylomes-predict-amisulpride-response-in-psychosis/</link>
		
		<dc:creator><![CDATA[SCIENMAG]]></dc:creator>
		<pubDate>Mon, 06 Oct 2025 12:07:12 +0000</pubDate>
				<category><![CDATA[Psychology & Psychiatry]]></category>
		<category><![CDATA[amisulpride efficacy]]></category>
		<category><![CDATA[blood methylome profiles]]></category>
		<category><![CDATA[clinical trajectory of psychosis]]></category>
		<category><![CDATA[DNA methylation biomarkers]]></category>
		<category><![CDATA[epigenetics in mental health]]></category>
		<category><![CDATA[first-episode psychosis treatment]]></category>
		<category><![CDATA[molecular prediction of drug response]]></category>
		<category><![CDATA[personalized medicine in psychiatry]]></category>
		<category><![CDATA[predicting antipsychotic response]]></category>
		<category><![CDATA[psychiatric care advancements]]></category>
		<category><![CDATA[therapeutic intervention optimization]]></category>
		<category><![CDATA[trial-and-error medication strategies]]></category>
		<guid isPermaLink="false">https://scienmag.com/blood-methylomes-predict-amisulpride-response-in-psychosis/</guid>

					<description><![CDATA[In a groundbreaking study that could redefine the landscape of personalized medicine in psychiatry, researchers have unveiled a novel approach to predict patient responses to antipsychotic treatment using blood methylome profiles. The research, conducted within the OPTiMiSE cohort, focuses on first-episode psychosis patients and aims to optimize therapeutic outcomes by employing DNA methylation markers extracted [&#8230;]]]></description>
										<content:encoded><![CDATA[<p>In a groundbreaking study that could redefine the landscape of personalized medicine in psychiatry, researchers have unveiled a novel approach to predict patient responses to antipsychotic treatment using blood methylome profiles. The research, conducted within the OPTiMiSE cohort, focuses on first-episode psychosis patients and aims to optimize therapeutic outcomes by employing DNA methylation markers extracted from peripheral blood samples. This approach holds promise to shift the paradigm from trial-and-error medication strategies to precisely tailored interventions based on molecular biomarkers.</p>
<p>First-episode psychosis represents a critical juncture in psychiatric care where timely and effective intervention can drastically influence the clinical trajectory. Traditionally, psychiatrists have struggled to predict how individual patients respond to antipsychotic drugs, leading to prolonged periods of ineffective treatment, adverse side effects, and worsening prognosis. The novel study leverages advances in epigenetics, particularly the analysis of blood methylomes, to uncover signatures that correlate with response to amisulpride, a well-established antipsychotic used in early psychosis.</p>
<p>The central dogma of this innovative research hinges on the hypothesis that epigenetic modifications—specifically DNA methylation patterns in blood cells—may mirror functional alterations in the brain&#8217;s biological networks that mediate response to medication. DNA methylation is a reversible chemical modification influencing gene expression without altering the underlying DNA sequence, modulating numerous physiological and pathological processes. By mapping these methylation patterns across the genome, researchers aim to delineate a predictive biomarker panel that can preemptively forecast therapeutic outcomes.</p>
<p>Utilizing advanced high-throughput sequencing and bioinformatics pipelines, the researchers systematically profiled blood samples of patients enrolled in the OPTiMiSE trial prior to amisulpride administration. Comparative analysis was conducted between responders and non-responders, identifying distinct methylation sites associated with differential drug efficacy. Importantly, this epigenetic signature exhibited robust predictive power, suggesting utility beyond traditional clinical assessments.</p>
<p>The study&#8217;s methodology underscores the significance of integrating molecular data with clinical phenotyping. Blood methylomes, accessible and minimally invasive to collect, provide a real-time snapshot of systemic epigenetic regulation. Given that environmental factors, stress, and disease states dynamically influence methylation landscapes, these profiles could reflect both genetic predispositions and current pathophysiological conditions impacting drug metabolism and neuronal function.</p>
<p>Furthermore, the identification of specific genes and pathways implicated by these methylation changes offers mechanistic insights. Notably, genes involved in synaptic plasticity, neurotransmitter signaling, and neuroinflammation emerged as differentially methylated, providing plausible biological explanations for the variability in treatment response to amisulpride. This mechanistic understanding may inform novel therapeutic targets or combination strategies that enhance antipsychotic efficacy.</p>
<p>From a clinical perspective, the implementation of methylation-based predictive markers would offer psychiatrists a powerful tool to personalize medication regimes from the outset. Patients predicted to be poor responders could be swiftly guided towards alternative treatments or adjunctive therapies, minimizing the duration and severity of psychotic episodes. This tailored approach has the potential to improve long-term outcomes, reduce healthcare costs, and alleviate patient distress.</p>
<p>The implications extend to the broader domain of psychiatry, where treatment resistance and heterogeneity have long confounded clinical management. By establishing an epigenetic framework for response prediction, this research pioneers a novel biomarker-driven paradigm, encouraging ongoing exploration of blood-based omics as gateways to understanding central nervous system disorders. Future studies may expand this strategy to additional antipsychotics and psychiatric conditions.</p>
<p>Technical challenges remain in translating these findings into routine clinical practice. Large-scale validation cohorts, standardized methylome assay protocols, and cost-effective platforms will be critical to ensure reproducibility and accessibility. Additionally, the dynamic nature of methylation necessitates longitudinal studies to assess stability of signatures and potential epigenetic changes induced by treatment itself.</p>
<p>Nevertheless, the research signifies a landmark advance facilitated by interdisciplinary collaboration integrating psychiatry, molecular biology, bioinformatics, and biostatistics. The OPTiMiSE cohort, with its comprehensive clinical and molecular datasets, served as an exemplary platform enabling such integrative analyses. The study exemplifies the confluence of precision medicine and psychiatry, a field historically lagging behind other medical specialties in biomarker development.</p>
<p>In sum, this pioneering research articulates a compelling vision where blood-derived methylation profiles serve as predictive beacons guiding antipsychotic therapy in first-episode psychosis. By harnessing the power of epigenomic information, psychiatrists may soon move closer to delivering truly personalized care that optimizes drug efficacy while minimizing adverse effects. The study also opens avenues for novel drug discovery endeavors targeting epigenetic regulators implicated in psychosis pathophysiology.</p>
<p>As medicine continues to embrace the multi-omics revolution, incorporating genomics, transcriptomics, and now methylomics, this research stands at the forefront, exemplifying how deep molecular insights can transform clinical paradigms. Ultimately, such advances illuminate a future where mental health interventions are guided by biological precision, improving lives and offering hope in the face of complex psychiatric disorders.</p>
<p>Subject of Research: Predictive epigenomic biomarkers of antipsychotic response in first-episode psychosis patients.</p>
<p>Article Title: Using blood methylomes to predict response to amisulpride in the first-episode psychosis in the OPTiMiSE cohort.</p>
<p>Article References:<br />
Lokmer, A., Troudet, R., Bacq-Daian, D. et al. Using blood methylomes to predict response to amisulpride in the first-episode psychosis in the OPTiMiSE cohort. Transl Psychiatry 15, 369 (2025). https://doi.org/10.1038/s41398-025-03561-7</p>
<p>Image Credits: AI Generated</p>
<p>DOI: https://doi.org/10.1038/s41398-025-03561-7</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">86414</post-id>	</item>
		<item>
		<title>Noninvasive Nasopharyngeal Cancer Detection via Gene Methylation</title>
		<link>https://scienmag.com/noninvasive-nasopharyngeal-cancer-detection-via-gene-methylation/</link>
		
		<dc:creator><![CDATA[SCIENMAG]]></dc:creator>
		<pubDate>Sat, 05 Jul 2025 13:59:46 +0000</pubDate>
				<category><![CDATA[Cancer]]></category>
		<category><![CDATA[bilateral nasal swab samples]]></category>
		<category><![CDATA[cancer screening techniques]]></category>
		<category><![CDATA[challenges in cancer diagnosis]]></category>
		<category><![CDATA[DNA methylation biomarkers]]></category>
		<category><![CDATA[early detection of NPC]]></category>
		<category><![CDATA[epigenetic markers in cancer]]></category>
		<category><![CDATA[malignancy and epigenetics]]></category>
		<category><![CDATA[methylation status analysis]]></category>
		<category><![CDATA[nasopharyngeal carcinoma diagnosis]]></category>
		<category><![CDATA[noninvasive cancer detection]]></category>
		<category><![CDATA[plasma-based EBV markers]]></category>
		<category><![CDATA[SEPTIN9 RASSF1A H4C6 genes]]></category>
		<guid isPermaLink="false">https://scienmag.com/noninvasive-nasopharyngeal-cancer-detection-via-gene-methylation/</guid>

					<description><![CDATA[In a groundbreaking development poised to transform the early detection of nasopharyngeal carcinoma (NPC), researchers have unveiled a novel, non-invasive diagnostic approach leveraging DNA methylation biomarkers from automatically processed bilateral nasal swab samples. This cutting-edge method, detailed in a recent publication in BMC Cancer, highlights the immense potential of epigenetic markers in improving cancer screening [&#8230;]]]></description>
										<content:encoded><![CDATA[<p>In a groundbreaking development poised to transform the early detection of nasopharyngeal carcinoma (NPC), researchers have unveiled a novel, non-invasive diagnostic approach leveraging DNA methylation biomarkers from automatically processed bilateral nasal swab samples. This cutting-edge method, detailed in a recent publication in <em>BMC Cancer</em>, highlights the immense potential of epigenetic markers in improving cancer screening beyond traditional techniques that primarily focus on EBV-related biomarkers.</p>
<p>Nasopharyngeal carcinoma, a malignancy arising from the epithelial lining of the nasopharynx, presents a clinical challenge due to its often asymptomatic early stages and complex anatomical location. Conventional diagnostic methods, while effective in some contexts, have struggled with sensitivity and specificity, often necessitating invasive biopsies or reliance on plasma-based EBV markers that can be limited by fluctuating viral loads and tumor heterogeneity. Addressing these challenges, the current study delves into the epigenetic landscape of NPC by analyzing methylation status of three critical genes: <em>SEPTIN9</em>, <em>RASSF1A</em>, and <em>H4C6</em>.</p>
<p>DNA methylation, an early and stable epigenetic modification, plays a pivotal role in gene expression regulation and carcinogenesis. Aberrant methylation patterns frequently accompany malignant transformation, making methylated genes attractive candidates for diagnostic biomarker development. The investigative team collected a total of 255 nasopharyngeal swabs alongside 35 plasma samples from patients diagnosed with either newly identified or treated NPC, coupled with healthy control samples, to comprehensively assess the diagnostic potential of these methylation markers.</p>
<p>Employing methylation-specific polymerase chain reaction (MSP), the researchers meticulously quantified the methylation levels of <em>SEPTIN9</em>, <em>RASSF1A</em>, and <em>H4C6</em>, genes previously implicated in various cancer types. By focusing on nasopharyngeal swabs rather than solely plasma, this study pioneers a more direct sampling of the tumor microenvironment, potentially capturing methylation signatures with greater fidelity to localized disease processes.</p>
<p>The results are striking. The detection rates of methylated <em>SEPTIN9</em>, <em>RASSF1A</em>, and <em>H4C6</em> in nasopharyngeal swabs from newly diagnosed NPC patients were 88.2%, 92.9%, and 71.8%, respectively. This contrasts markedly with detection from plasma samples, which yielded significantly lower rates—54.3%, 42.9%, and 45.7%, respectively. These findings underscore the enhanced sensitivity attainable through targeted swab sampling directly from the nasopharyngeal cavity.</p>
<p>In distinguishing NPC patients from healthy controls, methylated <em>RASSF1A</em> emerged as the most potent diagnostic marker, achieving a sensitivity of 93% and an impressive area under the receiver operating characteristic curve (AUC) of 0.956. Such high classification accuracy signifies that <em>RASSF1A</em> methylation analysis could serve as a reliable standalone screening modality or in conjunction with other markers for refined diagnostic precision.</p>
<p>The methodological innovation of automated bilateral nasal swab processing is particularly noteworthy, offering a rapid, standardized, and patient-friendly approach that circumvents the discomfort and logistical difficulties of biopsy or more invasive procedures. This automation could facilitate widespread clinical implementation, enhancing screening accessibility and adherence, especially in resource-limited settings or populations at elevated risk of NPC.</p>
<p>Furthermore, the study provides an important comparison between paired swab and plasma samples, demonstrating that nasopharyngeal swabs considerably outperform plasma in detecting methylated nucleic acids reflective of tumor presence. This differential could be attributed to the higher concentration of tumor DNA in mucosal surfaces adjacent to the neoplasm versus the diluted and variably circulating tumor DNA in plasma.</p>
<p>These findings are not merely academic; they carry profound implications for public health. Early detection of NPC dramatically improves prognosis, given that treatment is more effective at localized stages before metastasis occurs. By harnessing an epigenetic biomarker panel from minimally invasive sampling, clinicians may soon be equipped to identify NPC at an earlier phase, potentially reducing mortality rates in high-incidence regions.</p>
<p>The inclusion of <em>SEPTIN9</em> and <em>H4C6</em> alongside <em>RASSF1A</em> enhances the robustness of the biomarker panel, although <em>RASSF1A</em> maintains predominance in diagnostic strength. This triad of genes represents a novel multi-gene methylation signature, enriching the toolkit available for molecular epidemiology and precision oncology in head and neck cancers.</p>
<p>It is also essential to contextualize this advancement within the broader landscape of NPC diagnostics. Epstein-Barr virus (EBV) viral load measurements, while valuable, suffer from inconsistencies and sensitivity limitations. The incorporation of DNA methylation markers offers a complementary or alternative axis of detection that is rooted in tumor-specific epigenetic changes rather than viral presence alone.</p>
<p>Practically, the study’s success in real-world clinical sampling conditions bolsters its translational viability. The automatically processed bilateral nasal swab technique was successfully applied in a clinical setting, reflecting potential scalability and minimal disruption to existing care workflows.</p>
<p>As the demand for non-invasive cancer diagnostics accelerates, this study exemplifies how integrating molecular epigenetics with innovative sample acquisition can pave new paths in oncology. Its approach could inspire similar methylation-based assays for other cancers accessible by swabbing, expanding the frontier of liquid biopsy beyond blood.</p>
<p>Nevertheless, challenges remain. Future investigations must validate these findings in larger, diverse cohorts and ascertain longitudinal biomarker dynamics to determine their utility in monitoring disease progression and recurrence. Moreover, optimizing assay sensitivity and cost-effectiveness will be key to ensuring broad accessibility.</p>
<p>In conclusion, the detection of <em>RASSF1A</em> methylation from bilateral nasal swabs represents a significant leap forward in NPC diagnostics. This non-invasive, accurate, and patient-friendly methodology holds promise not only for earlier detection but also for enhancing clinical decision-making and personalized patient management in nasopharyngeal carcinoma.</p>
<p><strong>Subject of Research</strong>: Nasopharyngeal carcinoma detection through epigenetic methylation analysis in nasal swab samples.</p>
<p><strong>Article Title</strong>: Nasopharyngeal carcinoma detected noninvasively in the real world using three gene methylation analyses from automatically processed bilateral nasal swab samples</p>
<p><strong>Article References</strong>:<br />
Qin, ZH., Chen, SY., Zhou, S. <em>et al.</em> Nasopharyngeal carcinoma detected noninvasively in the real world using three gene methylation analyses from automatically processed bilateral nasal swab samples. <em>BMC Cancer</em> <strong>25</strong>, 1147 (2025). <a href="https://doi.org/10.1186/s12885-025-14508-y">https://doi.org/10.1186/s12885-025-14508-y</a></p>
<p><strong>Image Credits</strong>: Scienmag.com</p>
<p><strong>DOI</strong>: <a href="https://doi.org/10.1186/s12885-025-14508-y">https://doi.org/10.1186/s12885-025-14508-y</a></p>
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