STAR Protocols, Journal Year: 2024, Volume and Issue: 5(4), P. 103396 - 103396
Published: Oct. 15, 2024
Language: Английский
Frontiers in Genetics, Journal Year: 2025, Volume and Issue: 16
Published: Feb. 20, 2025
The escalating global cancer burden necessitates the development of biomarkers with enhanced specificity and sensitivity for early diagnosis therapeutic efficacy monitoring. CNIH4 gene, an emerging biomarker, is increasingly recognized its role in malignant progression across various cancers. We conducted a comprehensive multi-omics analysis CNIH4, including pan-cancer expression profiles, epigenetic alterations, immune microenvironment characteristics, response patterns. Our focus was on clinical features, molecular underpinnings, drug breast (BRCA) associated CNIH4. In vitro studies were also performed to assess effects knockdown cell proliferation cycle MDA-MB-231 line. upregulation observed multiple cancers, significantly correlating genomic instability. High levels linked poor prognosis cancers key cancer-related pathways, particularly those regulation DNA repair. Correlation analyses suggest tumor microenvironment, as evidenced by association subtypes, immune-related genes, infiltration. Single-cell spatial transcriptome confirmed that BRCA predicts malignancy. Drug revealed significant correlation between responsiveness kinase inhibitors chemotherapeutic agents. experiments demonstrated impacts cells. study highlights promising biomarker implications critical BRCA.
Language: Английский
Citations
0
bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 26, 2025
Cancer cells exhibit high heterogeneity and lineage plasticity, complicating studies of tumorigenesis development therapies. Recently, preneoplastic cells, although histologically normal, have been shown to possess plasticity early genetic alterations, yet their origins trajectories remain unclear. Herein, we introduce a lineage-tracing tool integrating barcoding with single-cell RNA sequencing map esophageal cell lineages. We identified precursor (PNPCs) as distinct progenitor-like population unique transcriptional profiles contributing proliferative basal populations. To enhance mapping, developed the eXamined Ridge (XR) score, accurately identifying high-plasticity cells. Nfib Qk emerged conserved PNPC markers, peaking in preneoplasia declining after malignant transformation. These findings reveal PNPCs key players highlight potential biomarkers for cancer detection therapeutic intervention, offering new strategies preventing progression.
Language: Английский
Citations
0
Nanoscale, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 1, 2025
Esophageal squamous cell carcinoma (ESCC) is an aggressive malignancy characterized by limited treatment options and poor prognosis. Nanoparticle-based drug delivery systems have emerged as a promising strategy to enhance cancer therapy efficacy improving targeting, reducing toxicity, enabling multifunctional applications. This review highlights some key types of nanoparticles, including liposomes, polymeric metallic dendrimers, quantum dots, which could effectively improve the various drugs used in chemotherapy, radiotherapy, immunotherapy, offering more precise effective options. With ability stability overcome biological barriers, nanoparticle-based represent transformative for ESCC treatment. Despite challenges, such biocompatibility scalability, future holds great promise, particularly development personalized nanomedicine novel therapeutic approaches targeting tumor microenvironment. ongoing advancements, hold immense potential revolutionize patient outcomes.
Language: Английский
Citations
0
Molecular Carcinogenesis, Journal Year: 2025, Volume and Issue: unknown
Published: March 18, 2025
ABSTRACT As important types of noncoding RNAs, long RNAs (lncRNAs) have been found to be involved in the progression various cancers. Accumulating evidence indicates that LINC02154 plays a critical role cancer progression, but underlying mechanisms regulating esophageal squamous cell carcinoma (ESCC) remain unclear. Here, we is significantly upregulated ESCC lines and tissues. knockdown inhibited proliferation migration cells vitro suppressed vivo. Mechanistically, can bind IGF2BP2 activate PI3K–AKT–mTOR signaling pathway. High expression positively correlated with poor prognosis patients. In conclusion, functions as an oncogenic factor facilitate through IG2BP2–PI3K–AKT–mTOR pathway has potential promising diagnostic marker therapeutic target for
Language: Английский
Citations
0
Scientific Data, Journal Year: 2025, Volume and Issue: 12(1)
Published: April 1, 2025
Early detection and intervention of precancerous lesions are crucial in reducing cancer morbidity mortality. Comprehensive analysis genomic, transcriptomic, proteomic epigenomic alterations can provide insights into the early stages carcinogenesis. However, lacke an integrated, well-curated data resource molecular signatures limits our understanding processes. Here, we introduce a comprehensive PreCancerous Molecular Resource (PCMR), which compiles 25,828 profiles samples paired with normal or malignant counterparts. These cover 35 types across 20 organs tissues, derived from tissue samples, liquid biopsies, cell lines organoids, transcriptomics, proteomics epigenomics. PCMR includes 62,566 precancer-gene associations differential text-mining using ChatGPT large language model. We examined dataset reliability significance by authoritative signature, along its biological clinical relevance. Overall, will serve as valuable for advancing precancer research ultimately improving patient outcomes.
Language: Английский
Citations
0
Genome Medicine, Journal Year: 2025, Volume and Issue: 17(1)
Published: April 3, 2025
Most molecular classifications of cancer are based on bulk-tissue profiles that measure an average over many distinct cell types. As such, subtypes inferred from transcriptomic or epigenetic data strongly influenced by cell-type composition and do not necessarily reflect defined cell-type-specific cancer-associated alterations, which could lead to suboptimal classifications. To address this problem, we here propose the novel concept combinatorial clustering (CELTYC), aims group samples alterations they display in specific We illustrate context DNA methylation liver kidney cancer, deriving each case assessing their prognostic relevance against current state-of-the-art models. In both reveal improved models, discoverable using standard methods. show how indexing epithelial immune-cell clusters define models driven synergy high mitotic age altered cytokine signaling. validate independent datasets identify underlying cytokine-immune-cell signatures driving poor outcome. summary, is a valuable strategy help dissect improve terms alterations.
Language: Английский
Citations
0
International Journal of Molecular Sciences, Journal Year: 2025, Volume and Issue: 26(7), P. 3373 - 3373
Published: April 4, 2025
Esophageal squamous cell carcinoma (ESCC) is one of the most aggressive malignant tumors in digestive tract, characterized by a high recurrence rate and inadequate immunotherapy options. We analyzed mutation data ESCC from public databases employed 10 machine learning algorithms to generate 101 algorithm combinations. Based on optimal range determined concordance index, we randomly selected combination best-performing construct prognostic model consisting five genes (DLX5, MAGEA4, PMEPA1, RCN1, TIMP1). By validating correlation between antigen-presenting cells (APCs), revealed antigen-presentation efficacy model. Through analysis immune infiltration ESCC, uncovered mechanisms evasion associated with disease. In addition, examined potential impact progression. these insights, identified anti-tumor small-molecule compounds targeting genes. This study primarily simulates tumor microenvironment (TME) antigen presentation processes patients, predicting role neoantigen-based patients their responses immunotherapy. These results suggest approach for identifying therapeutic targets which may contribute development more effective treatment strategies.
Language: Английский
Citations
0
Open Journal of Applied Sciences, Journal Year: 2025, Volume and Issue: 15(04), P. 1017 - 1024
Published: Jan. 1, 2025
Language: Английский
Citations
0
Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)
Published: April 22, 2025
Early diagnosis is crucial for successful cancer treatment. As a mitochondrial metabolic disease, produces volatile organic metabolites that are present in earwax, allowing differentiation between healthy individuals and those with through an assay called cerumenogram. In this case series study, we demonstrated also enables the of precancerous stages, such as hypermetabolic inflammation dysplasia, which can aid treatments to prevent progression. Additionally, reveals oncological metabolism differs from observed metaplasias, cysts, benign tumors, helping avoid unnecessary procedures due suspected malignancy. Cerumenogram be used assess remission. Thus, cerumenogram emerges might enable cancer, monitor remission, identify covering key steps tumorigenesis.
Language: Английский
Citations
0
Cancer Discovery, Journal Year: 2024, Volume and Issue: 14(11), P. 2037 - 2040
Published: Nov. 1, 2024
Summary: Current strategies for early cancer detection and diagnosis need updating to achieve greater precision, necessitating the creation of a comprehensive evolutionary map tumorigenesis. This requires establishing high-quality prospective cohorts, systematically collecting samples integrated spatiotemporal multiomics analyses, efficiently translating laboratory findings into clinical applications.
Language: Английский
Citations
2