Chinese Chemical Letters, Journal Year: 2025, Volume and Issue: unknown, P. 110958 - 110958
Published: Feb. 1, 2025
Language: Английский
Chinese Chemical Letters, Journal Year: 2025, Volume and Issue: unknown, P. 110958 - 110958
Published: Feb. 1, 2025
Language: Английский
Nature reviews. Cancer, Journal Year: 2024, Volume and Issue: 24(8), P. 523 - 539
Published: July 8, 2024
Language: Английский
Citations
48Frontiers in Oncology, Journal Year: 2023, Volume and Issue: 13
Published: May 17, 2023
Breast cancer is a highly heterogeneous disease, at both inter- and intra-tumor levels, this heterogeneity crucial determinant of malignant progression response to treatments. In addition genetic diversity plasticity cells, the tumor microenvironment contributes shaping physical biological surroundings tumor. The activity certain types immune, endothelial or mesenchymal cells in can change effectiveness therapies via plethora different mechanisms. Therefore, deciphering interactions between distinct cell types, their spatial organization specific contribution growth drug sensitivity still major challenge. Dissecting currently an urgent need better define breast biology develop therapeutic strategies targeting as helpful tools for combined personalized treatment. review, we analyze mechanisms by which affects characteristics that ultimately result resistance, outline state art preclinical models emerging technologies will be instrumental unraveling impact on resistance therapies.
Language: Английский
Citations
42npj Imaging, Journal Year: 2024, Volume and Issue: 2(1)
Published: July 17, 2024
Abstract The recent upswing in the integration of spatial multi-omics for conducting multidimensional information measurements is opening a new chapter biological research. Mapping landscape various biomolecules including metabolites, proteins, nucleic acids, etc., and even deciphering their functional interactions pathways believed to provide more holistic nuanced exploration molecular intricacies within living systems. Mass spectrometry imaging (MSI) stands as forefront technique spatially mapping metabolome, lipidome, proteome diverse tissue cell samples. In this review, we offer systematic survey delineating different MSI techniques resolved analysis, elucidating principles, capabilities, limitations. Particularly, focus on advancements methodologies aimed at augmenting sensitivity specificity MSI; depict burgeoning MSI-based metabolomics, lipidomics, proteomics, encompassing synergy with other modalities. Furthermore, speculative insights into potential trajectory technology future.
Language: Английский
Citations
18Cell Reports, Journal Year: 2025, Volume and Issue: 44(2), P. 115226 - 115226
Published: Jan. 18, 2025
Language: Английский
Citations
3Current Opinion in Chemical Biology, Journal Year: 2023, Volume and Issue: 76, P. 102362 - 102362
Published: July 4, 2023
Language: Английский
Citations
36Journal of Hematology & Oncology, Journal Year: 2024, Volume and Issue: 17(1)
Published: Aug. 24, 2024
The emergence of spatial multi-omics has helped address the limitations single-cell sequencing, which often leads to loss context among cell populations. Integrated analysis genome, transcriptome, proteome, metabolome, and epigenome enhanced our understanding biology molecular basis human diseases. Moreover, this approach offers profound insights into interactions between intracellular intercellular mechanisms involved in development, physiology, pathogenesis In comprehensive review, we examine current advancements technologies, focusing on their evolution refinement over past decade, including improvements throughput resolution, modality integration, accuracy. We also discuss pivotal contributions revealing heterogeneity, constructing detailed atlases, deciphering crosstalk tumor immunology, advancing translational research cancer therapy through precise mapping.
Language: Английский
Citations
15Nature Reviews Clinical Oncology, Journal Year: 2024, Volume and Issue: 21(6), P. 407 - 427
Published: April 8, 2024
Language: Английский
Citations
14Discover Oncology, Journal Year: 2025, Volume and Issue: 16(1)
Published: Jan. 15, 2025
The metabolism of stearoyl-GPE plays a key role in the liver metastasis gastric cancer. This investigation delves into mechanisms underlying intricate tumor microenvironment (TME) heterogeneity triggered by stearoyl cancer with (LMGC), offering novel perspectives for LMGC. Utilizing Mendelian randomization, we determined that significantly contributes to progression (GC). Following this, bulk transcriptome analyses and single-cell multiomics techniques investigate roles metabolism-related genes, particularly NCOA4, regulating LMGC TME. Our analysis highlights crucial modulating complex LMGC, impacting monocyte cells. Through sequencing spatial transcriptomics, have identified metabolic genes specific within cell population, including NCOA4. Regarding relationship between ferroptosis, metabolism, findings, it is plausible pathways intersect involved ferroptosis. Ferroptosis, characterized iron-dependent lipid peroxidation, represents regulated form death. activity Stearoyl-CoA desaturase (SCD), critical enzyme has been associated modulation composition susceptibility Furthermore, integral cellular processes related oxidative stress both which are significant factors context study enhances understanding ferroptosis promoting its regulation heterogeneity. In addition, this deeper dynamics provides basis development better interventions combat metastasis.
Language: Английский
Citations
1Advanced Science, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 25, 2025
Abstract The bladder and prostate originate from the urogenital sinus. However, cancer (BC) is usually classified as an immune “hot” tumor, whereas (PCa) deemed “cold” tumor according to microenvironment (TME) clinical outcomes. To investigate differences between BC PCa, studies are compared focusing on regulation mediated by sex hormones receptors identify key genes pathways responsible for differences. From a developmental perspective, it shown that PCa activate similar those in stage. During development, differential expression function of androgen receptor (AR) across cell types may contribute its dual role promoting inhibiting immunity different cells. Androgen deprivation therapy affects AR cells within TME, influencing infiltration antitumor function. Additionally, estrogenα estrogenβ exert contrasting effects BC, which hold potential modifying phenotypes. Future research should target involved development clarify regulatory similarities PCa.
Language: Английский
Citations
1Frontiers in Cell and Developmental Biology, Journal Year: 2025, Volume and Issue: 13
Published: March 26, 2025
Background The tumor boundary of breast cancer represents a highly heterogeneous region. In this area, the interactions between malignant and non-malignant cells influence progression, immune evasion, drug resistance. However, spatial transcriptional profile its role in prognosis treatment response remain unclear. Method Utilizing Cottrazm algorithm, we reconstructed intricate boundaries identified differentially expressed genes (DEGs) associated with these regions. Cell-cell co-positioning analysis was conducted using SpaCET, which revealed key tumor-associated macrophage (TAMs) cancer-associated fibroblasts (CAFs). Additionally, Lasso regression employed to develop body signature (MBS), subsequently validated TCGA dataset for prediction assessment. Results Our research indicates that is characterized by rich reconstruction extracellular matrix (ECM), immunomodulatory regulation, epithelial-to-mesenchymal transition (EMT), underscoring significance progression. Spatial colocalization reveals significant interaction CAFs M2-like (TAM), contributes exclusion MBS score effectively stratifies patients into high-risk groups, survival outcomes exhibiting high scores being significantly poorer. Furthermore, sensitivity demonstrates high-MB tumors had poor chemotherapy strategies, highlighting modulating therapeutic efficacy. Conclusion Collectively, investigate transcription group bulk data elucidate characteristics molecules cancer. CAF-M2 phenotype emerges as critical determinant immunosuppression resistance, suggesting targeting may improve responses. serves novel prognostic tool offers potential strategies guiding personalized approaches
Language: Английский
Citations
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