Tumor-associated macrophages affect the treatment of lung cancer.

As one of the most common malignant tumors in the world, lung cancer has limited benefits for patients despite its diverse treatment methods due to factors such as personalized medicine targeting histological type, immune checkpoint expression, and driver gene mutations. The high mortality rate of lung cancer is partly due to the immune-suppressive which limits the effectiveness of anti-cancer drugs and induces tumor cell resistance. The currently widely recognized TAM phenotypes include the anti-tumor M1 and pro-tumor M2 phenotypes. M2 macrophages promote the formation of an immune-suppressive microenvironment and hinder immune cell infiltration, thereby inhibiting activation of the anti-tumor immune system and aiding tumor cells in resisting treatment. Analyzing the relationship between different treatment methods and macrophages in the TME can help us better understand the impact of TAMs on lung cancer and confirm the feasibility of targeted TAM therapy. Targeting TAMs to reduce the M2/M1 ratio and reverse the immune-suppressive microenvironment can improve the clinical efficacy of conventional treatment methods and potentially open up more efficient combination treatment strategies, maximizing the benefit for lung cancer patients.

Feasibility and safety of EGFR-TKI neoadjuvant therapy for EGFR-mutated NSCLC: A meta-analysis.

BACKGROUND: The role of neoadjuvant epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitor (TKI) targeted therapy for EGFR-mutated non-small cell lung cancer (NSCLC) is unclear. Previous studies have shown that EGFR-TKIs have excellent anti-tumor activity. However, almost all studies on neoadjuvant EGFR-TKI treatment for EGFR-mutated NSCLC have been non-randomized controlled trials with small sample sizes and different methods of statistical analysis, which may lead to a lack of valid metrics to assess the feasibility and safety of neoadjuvant EGFR-TKI treatment. This meta-analysis aimed to assess the efficacy and safety of neoadjuvant EGFR-TKI treatment for NSCLC patients with EGFR mutations. METHODS: Relevant studies were systematically searched in PubMed, Embase, and Web of Science databases. Results including objective response rate (ORR), complete resection rate (R0), downstaging rate, pathological complete response (PCR), major pathological response (MPR), progression-free survival (PFS), overall survival (OS), and adverse events (AEs) were used for further analysis. RESULTS: This meta-analysis ultimately included 11 studies involving 344 patients with EGFR-positive mutations in NSCLC. In terms of tumor response, the pooled ORR was 57% (95% CI: 42%-73%), and in the Osimertinib subgroup, the pooled ORR was 80% (95% CI: 63%-98%). Analysis of studies that reported a downstaging rate showed the pooled downstaging rate of 41% (95% CI: 9%-74%) and the pooled downstaging rate of 74% (95% CI: 22%-100%) in the Osimertinib subgroup. In terms of surgical outcomes, the pooled pCR rate was 3% (95% CI: 0%-7%), the pooled MPR rate was 11% (95% CI: 6%-17%), and the pooled R0 resection rate was 91% (95% CI: 85%-95%). The most common adverse events associated with neoadjuvant therapy were rash and diarrhea. The pooled incidence of any grade of rash was 47.1% (95% CI: 25.4%-69.3%), and the pooled incidence of grade ≥ 3 rash was 0.6% (95% CI: 0.0%-2.5%). The pooled incidence of diarrhea of any grade was 28.8% (95% CI: 14.4%-45.4%), with the pooled incidence of grade ≥ 3 diarrhea of 0.2% (95% CI: 0.0%-1.6%). The pooled incidence of ≥ grade 3 adverse events was significantly lower. CONCLUSIONS: Our meta-analysis confirmed the efficacy and safety of neoadjuvant EGFR-TKIs for the treatment of NSCLC patients with EGFR-positive mutations and that third-generation EGFR-TKIs were superior to first- and second-generation EGFR-TKIs in terms of shrinking tumor volume and lowering tumor stage; however, future large-scale and multicenter randomized controlled trials are needed to confirm this conclusion. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42023466731.

Feature Deconstruction Strategy Based Identification of Acute Features Associated With Impairment of Activities of Daily Living in Patients With Traumatic Brain Injury / 中山大学学报(医学科学版)

ObjectiveTo identify acute phase features associated with the prognosis of traumatic brain injury （TBI）. MethodsThrough two traditional strategies， correlation analysis and prediction model， and one innovative research strategy based on feature deconstruction， a retrospective analysis was conducted using demographic， acute phase and chronic phase features of 354 TBI patients to identify acute phase features associated with activities of daily living （ADL） in chronic phase of TBI. For feature deconstruction strategy， the LASSO （Least Absolute Shrinkage and Selection Operator） algorithm was used to build a prediction model that could effectively predict ADL based on non-ADL chronic phase features. The model could indicate the key chronic phase dimensions determining the ADL in TBI patients. We then identified demographic and acute phase variables that were significantly associated with these key chronic phase features. ResultsThe feature deconstruction strategy revealed that ADL could be deconstructed into chronic phase dimensions such as weak limbs in TBI population. Importantly， to the best of our knowledge， this strategy revealed for the first time the association of these important acute phase features with specific chronic phase impairment features. For example， TBI patients had a higher risk for chronic phase recent memory impairment if they had a prolonged coma time and low GCS scores at acute phase ［scaled coma time OR95%CI = 94.288 （35.095， 273.231）； scaled GCS OR95%CI = 0.068 （0.030， 0.147）］； the patients had a higher risk for insight impairment and disorientation at chronic phase if they had hydrocephalus at acute phase ［insight impairment OR95%CI = 6.760 （3.653，12.855） ； disorientation OR95%CI = 6.538 （3.530， 12.490）］. All strategies showed that the strongest risk factors for ADL damage in the chronic phase included prolonged coma time and low GCS scores as well as hydrocephalus. ConclusionThis study provides an innovative research strategy to establish the association between acute injury features and chronic recovery features， and to identify demographic and acute phase features associated with the prognosis of TBI.