Publications by authors named "Shouzhi Xie"

Lung adenocarcinoma (LUAD), a leading cause of cancer-related mortality, remains a significant global health challenge due to limited understanding of its molecular mechanisms. HROB, a recently identified gene, has been implicated in cell cycle regulation, but its role in lung cancer progression is poorly understood. In this study, we demonstrate that HROB suppresses LUAD progression by interacting with ZC3HC1 and reducing its phosphorylation at Ser354.

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While observational studies have reported conflicting associations between polyunsaturated fatty acids (PUFAs) and lung cancer risk, the causal role of specific PUFA subtypes remains unclear. Leveraging genome-wide association data from the UK Biobank and International Lung Cancer Consortium, we employed univariable, multivariable, and bidirectional Mendelian randomization (MR) analyses to investigate the causal effects of seven PUFA traits (including omega-3, DHA, EPA, omega-6, LA, AA, and the omega-6/omega-3 ratio) on lung cancer and its subtypes. Our primary finding revealed a robust protective effect of a higher omega-6/omega-3 ratio against overall lung cancer (IVW: OR = 0.

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Background: The safety profile of immune checkpoint blockade (ICB) in the adjuvant setting has not been well characterized. This study aims to summarize the incidences of adverse events (AEs) in patients with solid tumors receiving ICB in adjuvant setting, and evaluate the effect of ICB addition on incidences of these adverse events.

Methods: We searched public databases and relevant international conference proceedings up to 20 September 2024, to identify eligible randomized controlled trials evaluating the ICB-based treatments in adjuvant setting for patients with solid tumors.

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Background: The characteristics of early-onset lung adenocarcinoma (EOLA) have not been extensively studied. Our research aimed to comprehensively assess the clinical and genetic features of EOLA.

Methods: We conducted a retrospective analysis of surgically resected lung adenocarcinoma patients, categorizing them into the EOLA group (aged <40 years) and the late-onset lung adenocarcinoma (LOLA) group (aged >60 years).

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Prior research has proposed a potential association between lung cancer and inflammatory cytokines, yet the specific causal relationship remains unclear, especially across various lung cancer pathologies. This study utilized bidirectional Mendelian randomization (MR) to explore these causal connections, unveiling novel insights. Our research revealed distinctive inflammatory cytokine profiles for each subtype of lung cancer and identified potential biomarkers that could refine diagnostic and therapeutic approaches.

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The ionosphere can be artificially modified by employing ground-based high-power high-frequency electromagnetic waves to irradiate the ionosphere. This modification is achieved through the nonlinear interaction between the electromagnetic waves and the ionospheric plasma, leading to changes in the physical properties and structure of the ionosphere. The degree of artificial modification of the ionosphere is closely related to the heating energy density of high-frequency pump waves.

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Objective: To compare the survival benefits of thermal ablation (TA) and radiotherapy in inoperable patients with stage III non-small cell lung cancer (NSCLC).

Method: A retrospective analysis was conducted using the data from the Surveillance, Epidemiology, and End Results (SEER) program. Propensity score matching (PSM) was conducted to balance potential baseline confounding factors.

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Background: Thermal ablation (TA) is considered a safe alternative to surgical resection for the treatment of non-small cell lung cancer (NSCLC). While previous studies have shown that TA is beneficial for stage I NSCLC patients, however, few have reported on TA efficacy in patients with stage II-III NSCLC. The current study investigated the impact of TA on the overall survival (OS) and cancer-specific survival (CSS) of patients with stage II-III NSCLC.

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Background: The average 5-year survival rate of lung adenocarcinoma patients is only 15% to 17%, which is primarily due to late-stage diagnosis and a lack of specific prognostic evaluations that can recommend effective therapies. Additionally, there is no clinically recognized biomarker that is effective for early-stage diagnosis.

Methods: Tissue samples from 10 lung adenocarcinoma patients (both tumor and non-tumor tissues) and 10 benign lung tumor samples were collected.

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