Biomedical subjects

Yu Shen

Publications and source records attributed to Yu Shen.

2 recordsLinked to original sources

PubMed2026

Visual Detection and Stratification of Pathogenic mtDNA SNV Heteroplasmy by Balancing FnCas12a Signal Output and Allelic Discrimination.

Assessment of pathogenic mitochondrial DNA (mtDNA) single-nucleotide variant (SNV) heteroplasmy is important for molecular diagnostics, yet rapid visual profiling remains analytically challenging because an assay must combine single-nucleotide allelic discrimination, mutant-fraction-associated readout, and suitable target access. Herein, we report VISTA (visual identification and stratification of targeted mtDNA alleles), a broad-PAM FnCas12a assay that rebalances trans-cleavage signal output and mutant-wild-type discrimination for visual mtDNA SNV heteroplasmy analysis. VISTA uses unmodified FnCas12a with relaxed TTN PAM recognition and integrates crRNA spacer-length engineering with PEG8000/acBSA reaction tuning to improve the practical signal-discrimination balance without nuclease engineering. At the m.3243A>G model locus, spacer truncation enhanced mutant-wild-type discrimination, while molecular-dynamics simulations identified spacer-dependent differences between matched and mismatched complexes at the crRNA-DNA interface. The optimized assay resolved defined synthetic m.3243A>G heteroplasmy gradients by fluorescence imaging and was further adapted to lateral-flow detection. In locus-specific analyses of a deidentified collection of 74 peripheral-blood samples, fluorescence and lateral-flow readouts achieved ROC AUC values above 0.9 for mutant-allele classification after target-region amplification. Fluorescence supported heteroplasmy-associated profiling, whereas lateral flow provided a visual, semiquantitative readout for relative ranking based on the T/C ratio rather than absolute heteroplasmy measurement. VISTA therefore provides an accessible dual-readout analytical strategy for visual detection and heteroplasmy-associated profiling by tuning the FnCas12a signal output and allelic discrimination.

DNA, Mitochondrial↗

PubMed2025

Reconsidering the definition of triple-negative breast cancer in the immune checkpoint inhibitor era: an optimal cut-off value for hormone receptor percentage of HER2-negative invasive breast cancer.

The optimal cut-off values of estrogen receptor (ER) and progesterone receptor (PgR) expression to define the positivity of ER and PgR have been under discussion for over a decade but remain controversial. The American Society of Clinical Oncology/College of American Pathologists (ASCO/CAP) and the St. Gallen International Expert Consensus recommended that breast cancers with ≥1% of ER or PgR expression should be considered hormone receptor (HR)-positive tumors but ER/PR expression of 1% to 10% should be reported as HR-low positive; however, among HER2-negative disease, data on the overall benefit of adjuvant endocrine therapies for patients with HR-low positive disease is limited, resulting in the revisiting of the definition of triple-negative breast cancer (TNBC). Defining HR-low positive disease by better understanding the biology is essential because of the recent advancement of neoadjuvant and adjuvant systemic therapy strategies, including immune checkpoint inhibitors (ICIs) for TNBC. Additionally, identifying who should be treated with adjuvant endocrine therapy, particularly those who have HR-low HER2-negative disease, which is currently treated as TNBC without adjuvant endocrine therapy, is a clinical unmet need. In clinical practice, treating physicians have tailored systemic treatment strategies using other clinical and pathological factors (i.e., age, grade, Ki-67, tumor size, lymph node involvement). There is no universal practice to treat patients with HR-low HER2-negative breast cancer. This review summarized the currently available data to define the clinically relevant optimal cut-off values of ER/PgR in neoadjuvant- and adjuvant-setting. We recommend considering creating a novel category of triple-negative like breast cancer (TN-like BC), which will require a therapeutic strategy different from conventional TNBC.

Humans↗