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Integrating tumor and immune cell transcriptomics to predict immune checkpoint inhibitor primary resistance in metastatic melanoma.
The emergence of immune checkpoint inhibitors (ICIs) has transformed the treatment landscape of metastatic melanoma. However, despite its success, reliable biomarkers for predicting primary resistance are not available in clinical practice.…
FULLTEXT: Bayesian framework -
Spatial transcriptomics unveils immune cellular ecosystems associated with patient survival in diffuse large B-cell lymphoma.
Diffuse large B-cell Lymphoma (DLBCL) is the most prevalent subtype of non-Hodgkin's lymphoma for which current therapeutic strategies remain insufficient, in part owing to heterogeneity in tumor biology and the immune microenvironment. The…
FULLTEXT: Bayesian framework -
metaFun: An analysis pipeline for metagenomic big data with fast and unified functional searches.
Metagenomic approaches offer unprecedented opportunities to characterize microbial community structure and function, yet several challenges remain unresolved. Inconsistent genome quality impairs reliability of metagenome-assembled genomes, …
FULLTEXT: Bayesian framework -
Exploring the gut microbiome and metabolomic interactions of antimetabolite drugs to optimize therapy.
Antimetabolite drugs are cornerstones in treating various cancers and autoimmune diseases; however, their clinical utility is often hampered by systemic toxicity caused by drug-induced gut microbiota dysbiosis. Predicting patient responses …
FULLTEXT: Bayesian framework -
Microbiota as a modulator of drug response: targeting microbial-drug crosstalk in cancer therapy.
In recent years, accumulating evidence has established mechanistic connections between the microbiota and the efficacy of anticancer treatments, encompassing microbial communities residing in the gut, within tumors, and across other tissue …
FULLTEXT: Bayesian framework -
Locus-specific transcriptional regulation of transposable elements by p53.
The tumor suppressor p53 protects genomic integrity in part by regulating transposable elements (TEs). Studies of p53-TE interactions rely on synthetic DNA and reporter assays, estimating expression only at the family or subfamily level and…
FULLTEXT: Bayesian framework -
Cost-effectiveness of pembrolizumab plus trastuzumab and chemotherapy for HER2-positive gastric or gastro-oesophageal junction adenocarcinoma.
To investigate the cost-effectiveness of pembrolizumab in combination with trastuzumab and chemotherapy as a first-line treatment for HER2-positive gastric or gastro-esophageal junction adenocarcinoma from the perspective of the U.S. and Ch…
FULLTEXT: Bayesian framework -
The burdens, coping strategies, and unmet needs of family caregivers of Chinese patients with lymphoma receiving commercial CAR-T-cell therapy: A qualitative study.
[OBJECTIVE] This study aimed to describe the caregiving experiences, coping strategies, and unmet health care needs of family caregivers supporting Chinese patients with large B-cell lymphoma receiving commercial chimeric antigen receptor T…
FULLTEXT: Bayesian framework -
Application of the behavior change wheel in supporting self-management among colorectal cancer survivors: A scoping review.
[OBJECTIVE] Self-management is a cornerstone of colorectal cancer (CRC) care; however, many interventions lack explicit grounding in behavioral theory. The Behavior Change Wheel (BCW), underpinned by the Capability-Opportunity-Motivation Be…
FULLTEXT: Bayesian framework -
DA-LUNGNET: a multi-stage deep framework with adaptive attention for early detection of subcentimeter pulmonary nodules.
Early and reliable detection of subcentimeter pulmonary nodules remains a major bottleneck in low-dose CT-based lung cancer screening due to high miss rates, vascular-adhesion-induced false positives, and insufficient multi-scale feature fu…
FULLTEXT: Bayesian framework -
A tri-scale in silico framework integrating pharmacovigilance and mechanistic modeling suggests tepotinib-associated acute kidney injury risk.
Proactive safety evaluation of molecularly targeted therapies requires generalizable frameworks that integrate real-world evidence with mechanistic insights. As a case in point, tepotinib, a mesenchymal-epithelial transition (MET) inhibitor…
FULLTEXT: Bayesian framework -
Neuroimmune circuits in respiratory pathophysiology: decoding molecular crosstalk for precision therapeutic targeting.
[BACKGROUND] The lung is a uniquely innervated barrier organ with dynamic neuroimmune interactions that critically regulate respiratory homeostasis. Despite the well-characterized gut-brain axis, pulmonary neuroimmune crosstalk remains an u…
FULLTEXT: Bayesian framework -
Geographic disparities and health inequality evolution in the disease burden of tracheal, bronchus, and lung cancer in Asia: a 33-year longitudinal analysis and future projections.
[OBJECTIVE] This study examined geographic patterns, temporal trends, and determinants of tracheal, bronchus, and lung (TBL) cancer burden in Asia (1990-2023), evaluated disparities in health outcomes, and developed projections for targeted…
FULLTEXT: Bayesian framework -
A data fusion deep learning approach for accurate organelle-based classification of cancer cells.
[PURPOSE] Microscopy-based cancer cell classification traditionally relies on cell-based morphological features, while subcellular organelle organization remains underutilized. Existing machine learning methods often require manual preproce…
FULLTEXT: Bayesian framework -
Axillary treatment options in clinically nodes-positive breast cancer whose nodes become pathologically nodes-negative after neoadjuvant chemotherapy: a pairwise and network meta-analysis.
[BACKGROUND] Neoadjuvant chemotherapy (NAC) has increased heterogeneity in regional axillary management. The optimal strategy remains uncertain for patients with clinically node-positive (cN+) breast cancer (BC) who convert to pathologicall…
FULLTEXT: Bayesian framework -
Effectiveness of self-management interventions in reducing cancer treatment-related cardiotoxicity in breast cancer survivors: A systematic review.
[OBJECTIVE] To evaluate the effectiveness of self-management interventions in reducing cancer therapy-induced cardiotoxicity among breast cancer survivors. [METHODS] Six English-language databases were searched for studies from January 200…
FULLTEXT: Bayesian framework -
A system dynamics modelling protocol to evaluate the impact of a health financing mechanism for breast cancer pharmacotherapies in Malaysia.
[INTRODUCTION] The rising cost of targeted breast cancer therapies challenges financial sustainability and equitable access in dual-tier health systems. In Malaysia, public cancer care is highly subsidized but budget constrained, shifting p…
FULLTEXT: Bayesian framework -
MicroRNAs in chemotherapy-induced peripheral neuropathy: mechanisms and therapies.
Chemotherapy-induced peripheral neuropathy (CIPN) is a significant adverse effect of cancer therapies that profoundly disrupts the quality of life for patients. CIPN is characterized by sensory symptoms such as pain, tingling, and numbness,…
FULLTEXT: Bayesian framework -
A system-level metastable model of cancer evolution: integrating replication stress, cell cycle deregulation and chromosomal instability.
[INTRODUCTION] Cancer cell proliferation occurs within the context of persistent genomic instability. In this review, we propose the RS-CCD-CIN axis as a systems-level framework in which replication stress (RS), cell cycle deregulation (CCD…
FULLTEXT: Bayesian framework -
A data-driven cartography of NSCLC vaccine research: Quantifying the paradigm shift toward immuno-oncology combination therapies.
The therapeutic vaccine landscape for non-small cell lung cancer (NSCLC) has evolved substantially over the past three decades, yet systematic analysis of this progression remains limited. We conducted bibliometric analysis of NSCLC vaccine…
FULLTEXT: Bayesian framework