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	<title>hepatocellular carcinoma biomarkers &#8211; Science</title>
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	<title>hepatocellular carcinoma biomarkers &#8211; Science</title>
	<link>https://scienmag.com</link>
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		<title>AKR1B10 Serum Marker Aids Liver Cancer Diagnosis and Postoperative Monitoring</title>
		<link>https://scienmag.com/akr1b10-serum-marker-aids-liver-cancer-diagnosis-and-postoperative-monitoring/</link>
		
		<dc:creator><![CDATA[Nathaniel Bowman]]></dc:creator>
		<pubDate>Tue, 04 Aug 2026 19:20:21 +0000</pubDate>
				<category><![CDATA[Cancer]]></category>
		<category><![CDATA[AKR1B10 serum marker]]></category>
		<category><![CDATA[blood-based liver cancer diagnostics]]></category>
		<category><![CDATA[early detection of liver tumors]]></category>
		<category><![CDATA[hepatocellular carcinoma biomarkers]]></category>
		<category><![CDATA[lipid metabolism in liver cancer]]></category>
		<category><![CDATA[liver cancer diagnosis]]></category>
		<category><![CDATA[molecular biomarkers for HCC]]></category>
		<category><![CDATA[non-invasive liver cancer detection methods]]></category>
		<category><![CDATA[oxidative stress and liver tumor biology]]></category>
		<category><![CDATA[postoperative liver cancer monitoring]]></category>
		<category><![CDATA[role of AKR1B10 in cancer]]></category>
		<category><![CDATA[tumor metabolic alterations in HCC]]></category>
		<guid isPermaLink="false">https://scienmag.com/akr1b10-serum-marker-aids-liver-cancer-diagnosis-and-postoperative-monitoring/</guid>

					<description><![CDATA[Hepatocellular carcinoma (HCC), the most common primary cancer of the liver, often develops in people with chronic liver disease caused by hepatitis B or C, alcohol-associated liver injury, or metabolic dysfunction. Detecting the disease at an early stage can expand treatment options, yet reliable blood-based markers remain limited. A study by Xie, Ye, Yu and [&#8230;]]]></description>
										<content:encoded><![CDATA[<p>Hepatocellular carcinoma (HCC), the most common primary cancer of the liver, often develops in people with chronic liver disease caused by hepatitis B or C, alcohol-associated liver injury, or metabolic dysfunction. Detecting the disease at an early stage can expand treatment options, yet reliable blood-based markers remain limited. A study by Xie, Ye, Yu and colleagues, published in the <em>British Journal of Cancer</em>, examines aldo-keto reductase 1B10, or AKR1B10, as a potential serum marker for both diagnosing HCC and monitoring patients immediately after surgery.</p>
<p>AKR1B10 is an enzyme belonging to the aldo-keto reductase superfamily, a group of proteins involved in the reduction of aldehydes and ketones and in the regulation of cellular responses to oxidative stress. The enzyme has been associated with lipid metabolism, detoxification processes and the handling of reactive carbonyl compounds. In several cancers, including liver tumors, altered AKR1B10 expression has been linked to changes in cellular metabolism and tumor biology, making it a candidate biomarker for translating molecular changes inside a tumor into a measurable signal in the bloodstream.</p>
<p>The clinical appeal of a serum marker is straightforward: blood testing is less invasive and easier to repeat than tissue sampling or imaging. At present, alpha-fetoprotein, commonly known as AFP, is widely used in HCC assessment, but its sensitivity and specificity are not sufficient for every patient. Some tumors produce little or no AFP, while elevated levels can also occur in non-cancerous liver conditions. Researchers have therefore continued to search for complementary markers that can improve diagnostic confidence, particularly in people with cirrhosis or chronic hepatitis, where distinguishing malignant from non-malignant changes can be difficult.</p>
<p>The new study focuses on whether AKR1B10 can provide clinically useful information in serum. Measuring a protein or enzyme in blood requires more than demonstrating that it is present: researchers must determine whether its concentration differs meaningfully between patients with HCC and appropriate comparison groups. They must also assess how consistently the marker identifies disease, how frequently it produces false-positive results, and whether it adds information beyond established tests such as AFP, liver-function measurements and imaging examinations.</p>
<p>The investigators also examined AKR1B10 in the immediate postoperative setting, an area with particular importance for liver cancer care. Surgical removal of a tumor can produce a rapid change in the concentration of tumor-associated molecules circulating in the blood. If AKR1B10 levels fall after a complete resection, that pattern could support the interpretation that the main source of the marker has been removed. Conversely, persistently high or unexpectedly rising levels might indicate residual tumor tissue, early recurrence or biological information that warrants closer clinical evaluation.</p>
<p>Postoperative monitoring is challenging because surgery itself causes inflammation, tissue injury and temporary changes in liver function. These effects can influence blood-based measurements and complicate the interpretation of any single result. For that reason, a marker intended for immediate monitoring must be evaluated in relation to timing, baseline concentration and the patient’s clinical condition. Serial measurements may be more informative than one postoperative value, as trends can reveal whether a biomarker is moving in the direction expected after tumor removal.</p>
<p>AKR1B10 could be biologically relevant to HCC because malignant liver cells often undergo profound metabolic reprogramming. Tumor cells alter the way they process lipids, carbohydrates and reactive molecules in order to sustain rapid growth and survive under stress. An enzyme involved in carbonyl metabolism and oxidative-stress control may therefore reflect more than the presence of a mass; it may also mirror the biochemical state of the tumor. However, a plausible mechanism does not by itself establish clinical usefulness. The value of AKR1B10 must ultimately be determined by carefully measured diagnostic performance and by evidence that testing changes patient management.</p>
<p>The study’s findings are positioned within a broader effort to develop more precise, minimally invasive tools for HCC care. A useful biomarker could help clinicians identify patients who need additional imaging, support decisions about treatment, and provide an early indication of how the disease is responding after surgery. It could be particularly valuable when used alongside AFP rather than as a replacement, since combining markers that reflect different aspects of tumor biology can sometimes improve diagnostic accuracy. The practical impact would depend on assay standardization, reproducibility between laboratories and confirmation in larger, independent patient populations.</p>
<p>The researchers’ evaluation of AKR1B10 therefore addresses two linked clinical questions: whether the enzyme can help distinguish HCC from other liver conditions before treatment, and whether its serum concentration changes in a clinically interpretable way after tumor removal. If validated, AKR1B10 could become part of a broader surveillance strategy combining blood biomarkers, radiological imaging and clinical assessment. Such an approach would not eliminate the need for specialist evaluation, but it could offer a faster and more repeatable window into tumor status.</p>
<p>The work highlights the continuing shift in cancer diagnostics from single, imperfect indicators toward integrated molecular monitoring. For patients with HCC, the ultimate goal is not simply to discover a marker that is elevated in cancer, but to develop a test that improves decisions across the patient journey—from initial detection to postoperative surveillance and the recognition of possible recurrence. AKR1B10 now represents a candidate for that process. Its future clinical role will depend on further validation, particularly studies that compare it directly with AFP, test it across diverse liver-disease populations and determine whether AKR1B10-guided monitoring improves outcomes.</p>
<p><strong>Subject of Research</strong>: Aldo-keto reductase 1B10 (AKR1B10) as a serum biomarker for hepatocellular carcinoma diagnosis and immediate postoperative monitoring.</p>
<p><strong>Article Title</strong>: AKR1B10 as a serum marker for diagnosis and postoperative monitoring of hepatocellular carcinoma.</p>
<p><strong>Article References</strong>: Xie, M., Ye, X., Yu, Q. <i>et al.</i> AKR1B10 as a serum marker for diagnosis and postoperative monitoring of hepatocellular carcinoma. <i>Br J Cancer</i> (2026). <a href="https://doi.org/10.1038/s41416-026-03530-x">https://doi.org/10.1038/s41416-026-03530-x</a></p>
<p><strong>Image Credits</strong>: AI Generated</p>
<p><strong>DOI</strong>: <a href="https://doi.org/10.1038/s41416-026-03530-x">https://doi.org/10.1038/s41416-026-03530-x</a></p>
<p><strong>Keywords</strong>: AKR1B10, hepatocellular carcinoma, liver cancer, serum biomarker, cancer diagnosis, postoperative monitoring, AFP, oncology, liver disease, biomarker research</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">176782</post-id>	</item>
		<item>
		<title>Distinct Protein Signatures for Hepatocellular Carcinoma Identified</title>
		<link>https://scienmag.com/distinct-protein-signatures-for-hepatocellular-carcinoma-identified/</link>
		
		<dc:creator><![CDATA[Nathaniel Bowman]]></dc:creator>
		<pubDate>Sat, 17 Jan 2026 09:43:19 +0000</pubDate>
				<category><![CDATA[Medicine]]></category>
		<category><![CDATA[cancer morbidity and mortality statistics]]></category>
		<category><![CDATA[chronic HBV and cancer association]]></category>
		<category><![CDATA[chronic hepatitis B infection research]]></category>
		<category><![CDATA[clinical implications of proteomics]]></category>
		<category><![CDATA[early detection of liver cancer]]></category>
		<category><![CDATA[hepatitis B global health impact]]></category>
		<category><![CDATA[hepatocellular carcinoma biomarkers]]></category>
		<category><![CDATA[liver cancer diagnostic advancements]]></category>
		<category><![CDATA[plasma proteome analysis for diagnostics]]></category>
		<category><![CDATA[protein signatures in hepatocellular carcinoma]]></category>
		<category><![CDATA[proteomic profiling in cancer]]></category>
		<category><![CDATA[viral infections and cancer development]]></category>
		<guid isPermaLink="false">https://scienmag.com/distinct-protein-signatures-for-hepatocellular-carcinoma-identified/</guid>

					<description><![CDATA[In the realm of medical research, the intricate relationship between viral infections and the potential development of cancer has become a focal point of investigation. A recent study conducted by Zongo et al. has unveiled significant insights into this complex interaction, particularly concerning chronic hepatitis B infection and its association with hepatocellular carcinoma (HCC). Through [&#8230;]]]></description>
										<content:encoded><![CDATA[<p>In the realm of medical research, the intricate relationship between viral infections and the potential development of cancer has become a focal point of investigation. A recent study conducted by Zongo et al. has unveiled significant insights into this complex interaction, particularly concerning chronic hepatitis B infection and its association with hepatocellular carcinoma (HCC). Through sophisticated plasma proteomic profiling, researchers have identified distinct protein signatures that may serve as biomarkers for early detection and diagnosis of HCC in patients suffering from chronic hepatitis B virus (HBV) infections. This groundbreaking study opens new avenues for understanding not only the mechanisms underpinning cancer development but also enhances the diagnostic capabilities in clinical settings.</p>
<p>The importance of this research stems from the global burden of hepatitis B, which affects approximately 300 million individuals worldwide and contributes to a significant percentage of liver cancer cases. Hepatocellular carcinoma has emerged as a leading cause of cancer-related morbidity and mortality in regions where hepatitis B is prevalent. Understanding the proteomic landscape associated with this malignancy is crucial as it could lead to interventions that improve patient outcomes. This study, published in the journal Clinical Proteomics, utilizes advanced proteomic methodologies to dissect the plasma proteome of patients, thereby shedding light on the molecular indicators of disease progression.</p>
<p>Utilizing cutting-edge mass spectrometry technologies, researchers meticulously analyzed plasma samples from individuals diagnosed with chronic hepatitis B, comparing them with healthy controls. The proteomic profiles generated through this elaborate process highlighted numerous proteins that exhibited significant alterations, suggesting a potential role in the pathophysiology of HCC. These findings emphasize the need for broader applications of proteomic analysis in clinical settings, aiming not only for early detection but also for tailored therapeutic strategies, particularly in the context of viral hepatitis.</p>
<p>The identification of distinct protein signatures is not merely an academic exercise; it provides a robust platform for establishing biomarkers that can be utilized in clinical practice. The research team&#8217;s comprehensive analytical approach revealed several candidate proteins that correlate with disease stage and severity. Among the identified proteins, some play a critical role in liver metabolism, immune response, and cellular signaling pathways, which are vital in the context of chronic hepatitis B infection and its transition to cancer.</p>
<p>Moreover, the study highlights the potential of these protein signatures to differentiate between HCC and other liver diseases, such as cirrhosis and hepatitis. The specificity afforded by these proteomic profiles enhances their utility as diagnostic markers, offering clinicians a powerful tool for distinguishing between conditions that present with similar clinical manifestations. The implications of this research are particularly pronounced in regions with high prevalence rates of hepatitis B, where timely diagnosis and intervention can drastically improve patient survival rates.</p>
<p>Understanding the proteomic changes related to HBV infection and its oncogenic potential raises several questions concerning the biological mechanisms at play. Hepatitis B is known to cause chronic inflammation and cellular injury, both of which are major risk factors for the development of cancer. The newfound protein signatures may not only serve as indicators of disease status but could also elucidate the pathways through which chronic HBV infection contributes to oncogenesis.</p>
<p>One of the compelling aspects of the study is its potential to stimulate further research into the molecular underpinnings of HCC. By elucidating the pathways highlighted by altered protein expression, future studies may focus on translating these findings into therapeutic targets. The ability to modify specific molecular interactions could pave the way for novel treatment options that address the root causes of hepatocellular carcinoma in patients with chronic hepatitis B.</p>
<p>Importantly, this research underscores the necessity for interdisciplinary collaboration in tackling complex health issues like viral hepatitis and cancer. The integration of proteomics, genomics, and clinical data represents a holistic approach that can yield profound insights and foster innovative treatment strategies. It epitomizes the transition of proteomics from a research-centric field to a significant player in clinical diagnosis and management.</p>
<p>As we expand our understanding of the proteomic landscape of chronic conditions, it becomes increasingly clear that early detection of liver cancer can save lives. The integration of novel proteomic biomarkers into routine screening protocols could drastically shift the paradigm of HCC management. Physicians could leverage this information to monitor at-risk populations more effectively and implement preventive measures or early interventions that could ultimately curb the incidence of late-stage liver cancer.</p>
<p>The impact of this research extends beyond individual patient prognosis; it carries implications for public health strategies aimed at combating the widespread epidemic of hepatitis B and its complications. By enhancing our collective knowledge of the virus&#8217;s oncogenic potential, health systems can better allocate resources to manage chronic hepatitis cases and implement vaccination programs that prevent infection in the first place.</p>
<p>In conclusion, Zongo et al.&#8217;s study represents a significant leap forward in our understanding of the proteomic alterations associated with hepatocellular carcinoma in the context of chronic hepatitis B infection. By establishing a connection between distinct protein signatures and disease progression, this research could transform diagnostic practices and pave the way for advanced treatment strategies. As we move towards a future where precision medicine becomes the standard, the findings from this study will undoubtedly contribute to the broader efforts aimed at mitigating the impact of viral-induced cancers on global health.</p>
<p>The vitality of ongoing research cannot be overstated as we look to address the challenges posed by viral infections and their long-term consequences. Continued exploration into the proteomic signatures associated with chronic diseases will not only advance our scientific understanding but also significantly enhance patient care in the long run.</p>
<p>In sum, this transformative research serves as a reminder of the importance of proteomics in contemporary medicine. As scientists and clinicians continue to uncover the complexities of viral infections and cancer, we stand on the precipice of a new era of medical diagnostics and therapeutic options.</p>
<hr />
<p><strong>Subject of Research</strong>: Hepatocellular carcinoma and its association with chronic hepatitis B infection through plasma proteomic profiling.</p>
<p><strong>Article Title</strong>: Plasma proteomic profiling reveals distinct protein signatures associated with hepatocellular carcinoma in chronic hepatitis B infection.</p>
<p><strong>Article References</strong>:</p>
<p class="c-bibliographic-information__citation">Zongo, S.V., Bauer, M., Traore, L. <i>et al.</i> Plasma proteomic profiling reveals distinct protein signatures associated with hepatocellular carcinoma in chronic hepatitis B infection.<br />
                    <i>Clin Proteom</i>  (2026). https://doi.org/10.1186/s12014-025-09580-2</p>
<p><strong>Image Credits</strong>: AI Generated</p>
<p><strong>DOI</strong>: 10.1186/s12014-025-09580-2</p>
<p><strong>Keywords</strong>: chronic hepatitis B, hepatocellular carcinoma, plasma proteomics, biomarkers, protein signatures, early detection, liver cancer.</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">127106</post-id>	</item>
		<item>
		<title>Extracellular Vesicle lncRNAs in HBV Liver Cancer</title>
		<link>https://scienmag.com/extracellular-vesicle-lncrnas-in-hbv-liver-cancer/</link>
		
		<dc:creator><![CDATA[Nathaniel Bowman]]></dc:creator>
		<pubDate>Sat, 15 Nov 2025 05:32:28 +0000</pubDate>
				<category><![CDATA[Cancer]]></category>
		<category><![CDATA[cancer research BMC Cancer]]></category>
		<category><![CDATA[chronic hepatitis B infection]]></category>
		<category><![CDATA[early diagnosis of HCC]]></category>
		<category><![CDATA[extracellular vesicle lncRNAs]]></category>
		<category><![CDATA[hepatitis B virus liver cancer]]></category>
		<category><![CDATA[hepatocellular carcinoma biomarkers]]></category>
		<category><![CDATA[liquid biopsy technologies]]></category>
		<category><![CDATA[liver cancer progression]]></category>
		<category><![CDATA[liver disease molecular dynamics]]></category>
		<category><![CDATA[non-invasive cancer detection]]></category>
		<category><![CDATA[serum extracellular vesicles]]></category>
		<category><![CDATA[therapeutic implications of lncRNAs]]></category>
		<guid isPermaLink="false">https://scienmag.com/extracellular-vesicle-lncrnas-in-hbv-liver-cancer/</guid>

					<description><![CDATA[Emerging research is shining a light on the crucial role of extracellular vesicle-derived long non-coding RNAs (lncRNAs) in the progression of hepatocellular carcinoma (HCC) associated with hepatitis B virus (HBV) infection. As liver diseases continue to impose a heavy global health burden, early detection remains a pressing challenge due to the scarcity of reliable, non-invasive [&#8230;]]]></description>
										<content:encoded><![CDATA[<p>Emerging research is shining a light on the crucial role of extracellular vesicle-derived long non-coding RNAs (lncRNAs) in the progression of hepatocellular carcinoma (HCC) associated with hepatitis B virus (HBV) infection. As liver diseases continue to impose a heavy global health burden, early detection remains a pressing challenge due to the scarcity of reliable, non-invasive biomarkers. In a groundbreaking study published in <em>BMC Cancer</em>, a team of researchers meticulously charted the landscape of EV-derived lncRNAs across varying stages of HBV-induced liver disease, revealing intricate molecular dynamics that could revolutionize early diagnosis and clinical management of HCC.</p>
<p>Liver cancer, particularly HCC, often emerges against a backdrop of chronic HBV infection and subsequent liver damage, including cirrhosis. Despite advances in medical imaging and serum biomarkers, catching HCC at an early, treatable stage has proved elusive. The promise of extracellular vesicles as carriers of disease-specific molecular signatures opens new frontiers. These nanometer-sized vesicles, secreted by cells into bodily fluids, encapsulate a rich cargo of RNAs, proteins, and lipids reflective of their cellular origin, thus serving as a “liquid biopsy” without the invasiveness of traditional tissue sampling.</p>
<p>In this comprehensive study, serum EVs were isolated from a cohort consisting of healthy controls, chronic hepatitis B (CHB) patients, liver cirrhosis patients, hepatocellular adenoma patients, and those diagnosed with HCC. The use of ultracentrifugation ensured high-purity vesicle isolation, while transmission electron microscopy, nanoparticle tracking analysis, and Western blotting confirmed the isolated EVs’ identity and purity. This rigorous validation underpins the credibility of subsequent molecular analyses.</p>
<p>High-throughput transcriptome sequencing was employed to profile RNA content within EVs from each clinical group, enabling systematic comparisons of lncRNA expression associated with disease progression. The study identified an array of 133 lncRNAs demonstrating significant differential expression specifically in the HCC group, underscoring their potential as biomarkers uniquely linked to malignant transformation in HBV-related liver disease.</p>
<p>The analytical framework extended beyond mere identification. Through multi-step screening and time-series analysis, the researchers pinpointed 10 core lncRNAs closely correlated with HCC progression. These lncRNAs exhibit dynamic expression changes aligning with clinical stages, suggesting their active involvement in the tumorigenic process rather than passive association. Such specificity is key to their potential deployment in diagnostic applications.</p>
<p>Diving deeper into molecular mechanisms, the authors constructed a complex lncRNA-miRNA-mRNA regulatory network encompassing 62 nodes and 68 interactions. This network sheds light on the layered post-transcriptional regulation and cross-talk among diverse RNA species. It highlights how lncRNAs may act as competing endogenous RNAs (ceRNAs), modulating miRNA availability and downstream mRNA expression, thereby influencing cellular pathways relevant to tumor growth and survival.</p>
<p>Functional enrichment analyses provided compelling hints about the biological processes modulated by these lncRNAs. The implicated pathways include critical aspects of cell proliferation regulation, transmembrane ion transport, cytosolic and plasma membrane localization, protein binding interactions, and vital signaling cascades such as autophagy and the mitogen-activated protein kinase (MAPK) pathway. These findings reveal the multifaceted impact of EV-derived lncRNAs on cellular homeostasis and oncogenic signaling networks.</p>
<p>Protein-protein interaction (PPI) network analysis further distilled the hub genes within this regulatory landscape, identifying 10 key genes including NTRK2 and KCNJ10. These hub genes likely serve as pivotal nodes mediating cross-talk within the signaling circuitry, rendering them potential targets for therapeutic intervention or biomarker validation.</p>
<p>To ensure robustness, the study validated the expression patterns of core lncRNAs and their downstream genes using an independent plasma cohort. The consistency observed across distinct patient populations strengthens the case for these molecules as reproducible biomarkers with clinical diagnostic value, potentially enabling real-time monitoring of disease progression via minimally invasive blood tests.</p>
<p>The implications of these findings are profound. By elucidating a set of HCC-specific lncRNA biomarkers packaged within extracellular vesicles, the study pioneers a paradigm enabling clinicians to leverage liquid biopsy techniques for early detection of liver cancer in high-risk HBV-infected individuals. Such breakthroughs promise to enhance prognosis by facilitating timely therapeutic interventions and personalized treatment strategies.</p>
<p>Moreover, the mechanistic insights into EV lncRNA-mediated regulatory networks enhance our understanding of tumor biology, possibly unveiling novel therapeutic avenues aimed at disrupting pathological signaling cascades in HCC. Targeting these EV-associated lncRNAs or their interacting partners could augment current treatment modalities and improve patient outcomes.</p>
<p>This research underscores the formidable potential of integrating advanced molecular profiling with cutting-edge bioinformatic analyses to decode the complexities of cancer progression. The marriage of transcriptomics, network biology, and clinical validation exemplifies a holistic approach that could be adapted to other malignancies where EV-derived molecules serve as biomarkers and mediators.</p>
<p>As the scientific community continues to grapple with liver cancer’s global toll, discoveries like these mark a critical stepping stone towards mitigating disease burden through early, precise, and non-invasive diagnosis. The promise of EV-derived lncRNAs heralds a new era where liquid biopsies transcend experimental status to become standard clinical tools.</p>
<p>Future research will likely explore how these EV-lncRNA signatures interact with the immune microenvironment, influence metastatic potential, and respond to therapeutic pressures. Longitudinal studies across larger cohorts will also be essential to verify clinical utility and refine biomarker panels for widespread screening initiatives.</p>
<p>In conclusion, this pioneering investigation charts a sophisticated molecular atlas of EV-derived lncRNAs linked to HBV-related HCC progression. It not only illuminates key biological pathways modulated during hepatocarcinogenesis but also lays the groundwork for transformative liquid biopsy-based diagnostic platforms. As such, it offers renewed hope for millions threatened by liver cancer worldwide.</p>
<hr />
<p><strong>Subject of Research</strong>: Characteristics and mechanistic roles of extracellular vesicle-derived long non-coding RNAs during HBV-related hepatocellular carcinoma progression.</p>
<p><strong>Article Title</strong>: Characteristics of extracellular vesicle-derived lncRNAs during the progression of HBV-related hepatocellular carcinoma</p>
<p><strong>Article References</strong>:<br />
Ma, Y., Lou, C., liang, J. et al. Characteristics of extracellular vesicle-derived lncRNAs during the progression of HBV-related hepatocellular carcinoma. <em>BMC Cancer</em> 25, 1768 (2025). <a href="https://doi.org/10.1186/s12885-025-15237-y">https://doi.org/10.1186/s12885-025-15237-y</a></p>
<p><strong>Image Credits</strong>: Scienmag.com</p>
<p><strong>DOI</strong>: 10.1186/s12885-025-15237-y (Published 14 November 2025)</p>
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