LncRNA HOXA10-AS as a novel biomarker and therapeutic target in human cancers DOI Creative Commons
Xin Hu, Yong Wang, Sijia Zhang

и другие.

Frontiers in Molecular Biosciences, Год журнала: 2025, Номер 11

Опубликована: Янв. 3, 2025

Long non-coding RNAs (lncRNAs) are crucial regulatory molecules that participate in numerous cellular development processes, and they have gathered much interest recently. HOXA10 antisense RNA (HOXA10-AS, also known as HOXA-AS4) is a novel lncRNA was identified to be dysregulated some prevalent malignancies. In this review, the clinical significance of HOXA10-AS for prognosis various cancers analyzed. addition, major advances our understanding biological functions mechanisms different human summarized. These include esophageal carcinoma (ESCA), gastric cancer (GC), glioma, laryngeal squamous cell (LSCC), acute myeloid leukemia (AML), lung adenocarcinoma (LUAD), nasopharyngeal (NPC), oral (OSCC), pancreatic cancer. We note aberrant expression promotes malignant progression through underlying mechanisms. conclusion, expected serve an ideal biomarker effective therapy target.

Язык: Английский

H3K18 lactylation-mediated VCAM1 expression promotes gastric cancer progression and metastasis via AKT-mTOR-CXCL1 axis DOI
Yupeng Zhao, Jiang Jiang, Peng Zhou

и другие.

Biochemical Pharmacology, Год журнала: 2024, Номер 222, С. 116120 - 116120

Опубликована: Март 8, 2024

Язык: Английский

Процитировано

22

Enhancing antitumor efficacy of CLDN18.2-directed antibody-drug conjugates through autophagy inhibition in gastric cancer DOI Creative Commons

Wenjing Xue,

Caili Xu,

Kaiqi Zhang

и другие.

Cell Death Discovery, Год журнала: 2024, Номер 10(1)

Опубликована: Сен. 3, 2024

Abstract Claudin18.2 (CLDN18.2) is overexpressed in cancers of the digestive system, rendering it an ideal drug target for antibody-drug conjugates (ADCs). Despite many CLDN18.2-directed ADCs undergoing clinical trials, inconclusive underlying mechanisms pose a hurdle to extending utility these agents. In our study, αCLDN18.2-MMAE, ADC composed anti-CLDN18.2 monoclonal antibody and tubulin inhibitor MMAE, induced dose-dependent apoptosis via cleavage caspase-9/PARP proteins CLDN18.2-positive gastric cancer cells. It was worth noting that autophagy remarkably activated during αCLDN18.2-MMAE treatment, which characterized by accumulation autophagosomes, conversion marker LC3 from its form I II, complete autophagic flux. Inhibiting LY294002 enhanced αCLDN18.2-MMAE-induced cytotoxicity caspase-mediated apoptosis, indicating cytoprotective role ADC-treated Combination with significantly potentiated vivo antitumoral efficacy αCLDN18.2-MMAE. Besides, Akt/mTOR pathway inactivation demonstrated be implicated initiation αCLDN18.2-MMAE-treated conclusion, study highlighted groundbreaking investigation into mechanism ADC, focusing on crucial autophagy, providing novel insight treat combination inhibitor.

Язык: Английский

Процитировано

22

Single-cell RNA sequencing and spatial transcriptomics reveal the heterogeneity and intercellular communication of cancer-associated fibroblasts in gastric cancer DOI Creative Commons
Xijie Zhang, Bo Ren, Бо Лю

и другие.

Journal of Translational Medicine, Год журнала: 2025, Номер 23(1)

Опубликована: Март 18, 2025

Gastric cancer is a highly aggressive malignancy characterized by complex tumor microenvironment (TME). Cancer-associated fibroblasts (CAFs), which are key component of the TME, exhibit significant heterogeneity and play crucial roles in progression. Therefore, comprehensive understanding CAFs essential for developing novel therapeutic strategies gastric cancer. This study investigates characteristics functional information CAF subtypes explores intercellular communication between malignant epithelial cells (ECs) analyzing single-cell sequencing data from 24 samples. CellChat was employed to map communication, Seurat used integrate with spatial transcriptome reconstruct map. The relationship apCAFs analyzed using multicolor immunohistochemistry. Cells were categorized into nine distinct categories, revealing positive correlation proportions fibroblasts. Furthermore, six fibroblast subpopulations identified: inflammatory (iCAFs), pericytes, matrix (mCAFs), antigen-presenting (apCAFs), smooth muscle (SMCs), proliferative (pCAFs). Each these linked various biological processes immune responses. Malignant ECs exhibited heightened particularly subpopulations, through specific ligand-receptor interactions. High-density regions displayed exclusivity, pericytes serving as source iCAFs, mCAFs, apCAFs. Notably, showed increased interactions, certain pairs potentially impacting prognosis Multiplex immunohistochemistry (mIHC) confirmed close proximity Our provided characterization revealed intricate networks within TME. identified their interactions could serve potential targets.

Язык: Английский

Процитировано

3

Overcoming immunotherapy resistance in gastric cancer: insights into mechanisms and emerging strategies DOI Creative Commons

D.Y. Luo,

Jing Zhou, Shuiliang Ruan

и другие.

Cell Death and Disease, Год журнала: 2025, Номер 16(1)

Опубликована: Фев. 7, 2025

Abstract Gastric cancer (GC) remains a leading cause of cancer-related mortality worldwide, with limited treatment options in advanced stages. Immunotherapy, particularly immune checkpoint inhibitors (ICIs) targeting PD1/PD-L1, has emerged as promising therapeutic approach. However, significant proportion patients exhibit primary or acquired resistance, limiting the overall efficacy immunotherapy. This review provides comprehensive analysis mechanisms underlying immunotherapy resistance GC, including role tumor microenvironment, dynamic PD-L1 expression, compensatory activation other checkpoints, and genomic instability. Furthermore, explores GC-specific factors such molecular subtypes, unique evasion mechanisms, impact Helicobacter pylori infection. We also discuss emerging strategies to overcome combination therapies, novel immunotherapeutic approaches, personalized based on genomics microenvironment. By highlighting these key areas, this aims inform future research directions clinical practice, ultimately improving outcomes for GC undergoing

Язык: Английский

Процитировано

2

Exosomes: Another intercellular lipometabolic communication mediators in digestive system neoplasms? DOI
Shaodong Li,

Ruizhi Dong,

Zhenhua Kang

и другие.

Cytokine & Growth Factor Reviews, Год журнала: 2023, Номер 73, С. 93 - 100

Опубликована: Июль 1, 2023

Язык: Английский

Процитировано

41

HKDC1 reprograms lipid metabolism to enhance gastric cancer metastasis and cisplatin resistance via forming a ribonucleoprotein complex DOI
Ping Zhao,

Fei Yuan,

Lijuan Xu

и другие.

Cancer Letters, Год журнала: 2023, Номер 569, С. 216305 - 216305

Опубликована: Июль 7, 2023

Язык: Английский

Процитировано

27

Bufalin targeting BFAR inhibits the occurrence and metastasis of gastric cancer through PI3K/AKT/mTOR signal pathway DOI
Guang Chen, Huhu Zhang,

Hongxiao Sun

и другие.

APOPTOSIS, Год журнала: 2023, Номер 28(9-10), С. 1390 - 1405

Опубликована: Май 30, 2023

Язык: Английский

Процитировано

24

Analysis of the impact of immunotherapy efficacy and safety in patients with gastric cancer and liver metastasis DOI Open Access
Kai Liu, Chunxiao Wu, Hui Liang

и другие.

World Journal of Gastrointestinal Surgery, Год журнала: 2024, Номер 16(3), С. 700 - 709

Опубликована: Март 21, 2024

Gastric cancer (GC) is the fifth most common type of and has fourth highest death rate among all cancers. There a lack studies examining impact liver metastases on effectiveness immunotherapy in individuals diagnosed with GC.

Язык: Английский

Процитировано

11

Gastric Cancer Models Developed via GelMA 3D Bioprinting Accurately Mimic Cancer Hallmarks, Tumor Microenvironment Features, and Drug Responses DOI Open Access
Mingguang Ju, Zining Jin, Xue Yu

и другие.

Small, Год журнала: 2025, Номер unknown

Опубликована: Янв. 15, 2025

Current in vitro models for gastric cancer research, such as 2D cell cultures and organoid systems, often fail to replicate the complex extracellular matrix (ECM) found vivo. For first time, this study utilizes a gelatin methacryloyl (GelMA) hydrogel, biomimetic ECM-like material, 3D bioprinting construct physiologically relevant model. GelMA's tunable mechanical properties allow precise manipulation of cellular behavior within physiological ranges. Genetic phenotypic analyses indicate that bioprinted GelMA (3Db) model accurately mimics clinical tumor characteristics reproduces key hallmarks, proliferation, invasion, migration, angiogenesis, Warburg effect. Comparisons gene expression drug responses between 3Db patient-derived xenograft models, both constructed from primary cells, validate model's relevance. The ability closely simulate vivo conditions highlights its crucial role identifying treatment targets predicting patient-specific responses, showcasing potential high-throughput screening applications. This is report pivotal GelMA-based advancing research regenerative medicine.

Язык: Английский

Процитировано

1

Integrative analysis of anoikis-related prognostic signature to evaluate the immune landscape and predict therapeutic response in stomach adenocarcinoma DOI Creative Commons
Ziyi Zhou,

Lanlan Yang,

Yuan Fang

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Фев. 5, 2025

Stomach adenocarcinoma (STAD) is the most prevalent gastrointestinal malignancy and seriously threatens life of global population. Anoikis, a process programmed cell death that occurs when cells detach from extracellular matrix, closely associated with tumor invasion metastasis. In this study, we used TCGA-STAD database to identify expression patterns prognostic relevance anoikis-related genes (ARGs) in STAD. Functional enrichment analysis was explore potential pathway. LASSO Cox regression were construct signature. The anoikis risk score (ARS) incorporated 7 stratified patients into highand low-risk subgroups by median value splitting. addition, external validation performed based on GSE66229, GSE15459, GSE84437 cohorts. Nomograms created characteristics combination clinical variants performance model validated time-dependent AUC, calibration curves, decision curve (DCA). signature indicated subgroup had better outcomes significant correlations microenvironment, immune landscape, immunotherapy response, drug sensitivity. single-cell displayed types, subcellular localization genes, cellular interaction reveal molecular communication mechanism resistance. Finally, vitro experiments confirmed critical role CRABP2 results knockdown inhibited gastric cancer proliferation, migration invasion, promoted apoptosis. summary, ARS can serve as biomarker for predicting survival STAD patients, providing new tools personalized treatment decisions patients.

Язык: Английский

Процитировано

1