Publications by authors named "Zhi-Mei Sheng"

Within the intricate milieu of colorectal cancer (CRC) tissues, cancer-associated fibroblasts (CAFs) act as pivotal orchestrators, wielding considerable influence over tumor progression. This review endeavors to dissect the multifaceted functions of CAFs within the realm of CRC, thereby highlighting their indispensability in fostering CRC malignant microenvironment and indicating the development of CAFs-targeted therapeutic interventions. Through a comprehensive synthesis of current knowledge, this review delineates insights into CAFs-mediated modulation of cancer cell proliferation, invasiveness, immune evasion, and neovascularization, elucidating the intricate web of interactions that sustain the pro-tumor metabolism and secretion of multiple factors.

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Breast cancer poses a huge threat to the lives and health of women worldwide. However, drug resistance makes the treatment of breast cancer challenging. This study aims to investigate the effect of miR-141-3p on paclitaxel resistance and its underlying mechanisms in breast cancer.

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Stroke poses a significant risk of mortality, particularly among the elderly population. The pathophysiological process of ischemic stroke is complex, and it is crucial to elucidate its molecular mechanisms and explore potential protective drugs. Ferroptosis, a newly recognized form of programmed cell death distinct from necrosis, apoptosis, and autophagy, is closely associated with the pathophysiology of ischemic stroke.

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Ischemic stroke poses a major threat to human health. Therefore, the molecular mechanisms of cerebral ischemia/reperfusion injury (CIRI) need to be further clarified, and the associated treatment approaches require exploration. The NOD‑like receptor thermal protein domain associated protein 3 (NLRP3) inflammasome serves an important role in causing CIRI, and its activation exacerbates the underlying injury.

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The gene (Proline Rich 11) has been implicated in lung cancer; however, relationship between and immune infiltration is not clearly understood. In this study, we used The Cancer Genome Atlas (TCGA) data to analyze the lung adenocarcinoma patients; gene expression, clinicopathological findings, enrichment, and immune infiltration were also studied. immune response expression assays in lung adenocarcinoma (LUAD) were performed using TIMER, and statistical analysis and visualization were conducted using R software.

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