Chunyan Li

Esophageal cancer (EC) is a highly prevalent malignant tumor worldwide, with a particularly high incidence in regions such as Asia. The poor prognosis of E

As a leading cause of cancer‐related morbidity and mortality worldwide, non‐small cell lung cancer (NSCLC) is profoundly influenced by innate immune cells (IICs). In addition to serving as key mediators of antimicrobial defense and adaptive immune activation, IICs exert pivotal and multifaceted influences on the initiation, progression, and therapeutic responses of NSCLC. This review integrates current knowledge on the classification, phenotypic plasticity, and functions of IICs, as well as their crosstalk within the tumor microenvironment in NSCLC, summarizes therapeutic strategies targeting IICs, and discusses the existing challenges and future perspectives in NSCLC immunotherapy, to provide theoretical references for the immunotherapy of NSCLC.

Enhancers, as cis-regulatory elements, play pivotal roles in transcriptional homeostasis. The abnormality in enhancers is highly associated with various diseases, including osteoporosis. However, the landscape of active enhancers underlying bone diseases remains incomplete. By conducting an integrative analysis of transcriptome and ChIP-seq data, we identify enh11 as an active enhancer during osteoblastogenesis. CRISPR/Cas9-mediated deletion of enh11 inhibits cell differentiation of pre-osteoblast MC3T3-E1 cells. The osteoblast-specific knockout of enh11 reduces bone formation and decreases bone mass in mice. In addition, Etv4 is identified as the downstream target of enh11. Functional experiments both in vitro and in vivo validate that Etv4 promotes osteogenesis and bone formation. Mechanistically, enh11 upregulates the expression of Etv4 to promote osteogenesis, probably via binding to the transcription factor Stat3. These findings not only deepen our comprehension of the molecular mechanisms of enh11 underlying bone formation but also highlight enh11 and Etv4 as promising therapeutic targets for osteoporosis.

The homeostasis between bone formation and resorption is essential for bone maintenance. Overactivation of bone resorption can lead to a decrease in bone density, an increase in bone fragility, and the development of osteoporosis. The Receptor Activator of Nuclear Factor κ B Ligand (RANKL) is a critical driver of bone resorption and a key therapeutic target for diseases like osteoporosis. Peptides, with their advantages of low immunogenicity and ease of synthesis, have emerged as promising drug candidates. Through a computational screening of approximately 100,000 peptide sequences using an AI-assisted strategy integrated with ADMET evaluation, we identified a novel class of RANKL-binding candidate peptides. Subsequent in vitro evaluation pinpointed R-Peptide as the lead candidate. In vivo validation further confirmed its anti-osteoclast effects in ovariectomized (OVX) mice and pro-osteogenic effects in wild-type (WT) mice. Mechanistically, R-Peptide significantly inhibited osteoclastogenesis by downregulating key marker genes (Ctsk, Trap, and Nfatc1) as well as critical components of the RANKL signaling pathway (RANKL and TRAF6). Taken together, this study identified a novel peptide that inhibits osteoclast differentiation and rescues bone loss in OVX mice, providing it as a promising therapeutic candidate for osteoporosis.

MYC is dysregulated in approximately 70% of human cancers, strongly suggesting its essential function in cancer. MYC regulates many biological processes, such as cell cycle, metabolism, cellular senescence, apoptosis, angiogenesis, and immune escape. MYC plays a central role in carcinogenesis and is a key regulator of tumor development and drug resistance. Therefore, MYC is one of the most alluring therapeutic targets for developing cancer drugs. Although the search for direct inhibitors of MYC is challenging, MYC cannot simply be assumed to be undruggable. Targeting the MYC-MAX complex has been an effective method for directly targeting MYC. Alternatively, indirect targeting of MYC represents a more pragmatic therapeutic approach, mainly including inhibition of the transcriptional or translational processes of MYC, destabilization of the MYC protein, and blocking genes that are synthetically lethal with MYC overexpression. In this review, we delineate the multifaceted roles of MYC in cancer progression, highlighting a spectrum of therapeutic strategies and inhibitors for cancer therapy that target MYC, either directly or indirectly.

Precise regulation of gene expression is crucial to development. Enhancers, the core of gene regulation, determine the spatiotemporal pattern of gene transcription. Since many disease-associated mutations are characterized in enhancers, the research on enhancer will provide clues to precise medicine. Rapid advances in high-throughput sequencing technology facilitate the characterization of enhancers at genome wide, but understanding the functional mechanisms of enhancers remains challenging. Herein, we provide a panorama of enhancer characteristics, including epigenetic modifications, enhancer transcripts, and enhancer-promoter interaction patterns. Furthermore, we outline the applications of high-throughput sequencing technology and functional genomics methods in enhancer research. Finally, we discuss the role of enhancers in human disease and their potential as targets for disease prevention and treatment strategies.

Background: Enhancers are important gene regulatory elements that promote the expression of critical genes in development and disease. Aberrant enhancer can modulate cancer risk and activate oncogenes that lead to the occurrence of various cancers. However, the underlying mechanism of most enhancers in cancer remains unclear. Here, we aim to explore the function and mechanism of a crucial enhancer in melanoma. Methods: Multi-omics data were applied to identify an enhancer (enh17) involved in melanoma progression. To evaluate the function of enh17, CRISPR/Cas9 technology were applied to knockout enh17 in melanoma cell line A375. RNA-seq, ChIP-seq and Hi-C data analysis integrated with luciferase reporter assay were performed to identify the potential target gene of enh17. Functional experiments were conducted to further validate the function of the target gene ETV4. Multi-omics data integrated with CUT&Tag sequencing were performed to validate the binding profile of the inferred transcription factor STAT3. Results: An enhancer, named enh17 here, was found to be aberrantly activated and involved in melanoma progression. CRISPR/Cas9-mediated deletion of enh17 inhibited cell proliferation, migration, and tumor growth of melanoma both in vitro and in vivo. Mechanistically, we identified ETV4 as a target gene regulated by enh17, and functional experiments further support ETV4 as a target gene that is involved in cancer-associated phenotypes. In addition, STAT3 acts as a transcription factor binding with enh17 to regulate the transcription of ETV4. Conclusions: Our findings revealed that enh17 plays an oncogenic role and promotes tumor progression in melanoma, and its transcriptional regulatory mechanisms were fully elucidated, which may open a promising window for melanoma prevention and treatment.

With the development of sequencing technology and the dramatic drop in sequencing cost, the functions of noncoding genes are being characterized in a wide variety of fields (e.g. biomedicine). Enhancers are noncoding DNA elements with vital transcription regulation functions. Tens of thousands of enhancers have been identified in the human genome; however, the location, function, target genes and regulatory mechanisms of most enhancers have not been elucidated thus far. As high-throughput sequencing techniques have leapt forwards, omics approaches have been extensively employed in enhancer research. Multidimensional genomic data integration enables the full exploration of the data and provides novel perspectives for screening, identification and characterization of the function and regulatory mechanisms of unknown enhancers. However, multidimensional genomic data are still difficult to integrate genome wide due to complex varieties, massive amounts, high rarity, etc. To facilitate the appropriate methods for studying enhancers with high efficacy, we delineate the principles, data processing modes and progress of various omics approaches to study enhancers and summarize the applications of traditional machine learning and deep learning in multi-omics integration in the enhancer field. In addition, the challenges encountered during the integration of multiple omics data are addressed. Overall, this review provides a comprehensive foundation for enhancer analysis.

Bones are constantly exposed to mechanical forces from both muscles and Earth’s gravity to maintain bone homeostasis by stimulating bone formation. Mechanotransduction transforms external mechanical signals such as force, fluid flow shear, and gravity into intracellular responses to achieve force adaptation. However, the underlying molecular mechanisms on the conversion from mechanical signals into bone formation has not been completely defined yet. In the present review, we provide a comprehensive and systematic description of the mechanotransduction signaling pathways induced by mechanical stimuli during osteogenesis and address the different layers of interconnections between different signaling pathways. Further exploration of mechanotransduction would benefit patients with osteoporosis, including the aging population and postmenopausal women.