Intratumoral and peritumoral CT radiomics in predicting anaplastic lymphoma kinase mutations and survival in patients with lung adenocarcinoma: a multicenter study.

Background: To explore the value of intratumoral and peritumoral radiomics in preoperative prediction of anaplastic lymphoma kinase (ALK) mutation status and survival in patients with lung adenocarcinoma.

Methods: We retrospectively collected data from 505 eligible patients with lung adenocarcinoma from four hospitals (training and external validation sets 1-3). The CT-based radiomics features were extracted separately from the gross tumor volume (GTV) and GTV incorporating peritumoral 3-, 6-, 9-, 12-, and 15-mm regions (GPTV, GPTV, GPTV, GPTV, and GPTV), and screened the most relevant features to construct radiomics models to predict ALK (+).

Regulation of cancer-associated fibroblasts for enhanced cancer immunotherapy using advanced functional nanomedicines: an updated review.

The tumor microenvironment (TME) is a complex and dynamic ecosystem that plays a critical role in cancer progression. It comprises various cell types, including immune cells, tumor cells, and stromal cells. Among these, cancer-associated fibroblasts (CAFs) represent a heterogeneous population with diverse origins, phenotypes, and functions.

Tendomodulin in pan-cancer analysis: exploring its impact on immune modulation and uncovering functional insights in colorectal cancer.

Background: Tendomodulin (TNMD) is pivotal in various malignancies, including colorectal cancer (CRC). However, its comprehensive impact across cancers, particularly its immunomodulatory function in CRC, remains underexplored. This study explored the role of TNMD in CRC by focusing on its immunomodulatory functions through comprehensive molecular and clinical analyses.

Lactate-Fueled Theranostic Nanoplatforms for Enhanced MRI-Guided Ferroptosis Synergistic with Immunotherapy of Hepatocellular Carcinoma.

Treatment for hepatocellular carcinoma (HCC) may be improved with ferroptosis, a regulated form of cell death. However, the sensitivity of HCC to ferroptosis was strongly limited by lactic acid. In this study, a platelet membrane (PM)-engineered nanoparticle loaded with erastin, superparamagnetic iron oxide nanoparticles (SPIO) and lactate oxidase (LOX) (termed PM@ESL NPs) was designed for magnetic resonance imaging (MRI)-guided enhanced ferroptosis-immunotherapy of HCC.

MELK prevents radiofrequency ablation-induced immunogenic cell death and antitumor immune response by stabilizing FABP5 in hepatocellular malignancies.

Background: Radiofrequency ablation (RFA) is an efficient treatment with unlimited potential for liver cancer that can effectively reduce patient mortality. Understanding the biological process related with RFA treatment is important for improving treatment strategy. This study aimed to identify the critical targets for regulating the efficacy of RFA.

Predicting early recurrence in locally advanced gastric cancer after gastrectomy using CT-based deep learning model: a multicenter study.

Background: Early recurrence in patients with locally advanced gastric cancer (LAGC) portends aggressive biological characteristics and a dismal prognosis. Predicting early recurrence may help determine treatment strategies for LAGC. The goal is to develop a deep learning model for early recurrence prediction (DLER) based on preoperative multiphase computed tomography (CT) images and to further explore the underlying biological basis of the proposed model.

Lower respiratory tract microbiome is associated with checkpoint inhibitor pneumonitis in lung cancer patients.

Background: The gut microbiome is associated with the occurrence and severity of immune-related adverse events (irAEs) in cancer patients undergoing immunotherapy. However, the relationship between the lower respiratory tract (LRT) microbiome and checkpoint inhibitor pneumonitis (CIP) in lung cancer patients who underwent immunotherapy is unclear. The aim of the present study was to investigate the associations between the LRT microbiome and CIP in lung cancer patients receiving immunotherapy.

Cholesterol Targeted Catalytic Hydrogel Fueled by Tumor Debris can Enhance Microwave Ablation Therapy and Anti-Tumor Immune Response.

The immunosuppressive residual tumor microenvironment (IRTM) is a key factor in the high recurrence and metastasis rates of hepatocellular carcinoma (HCC) after microwave ablation (MWA). Cholesterol-rich tumor fragments significantly contribute to IRTM deterioration. This study developed a cholesterol-targeted catalytic hydrogel, DA-COD-OD-HCS, to enhance the synergy between MWA and immune checkpoint inhibitors (ICIs) for HCC treatment.

Development and Validation of a Machine Learning Radiomics Model based on Multiparametric MRI for Predicting Progesterone Receptor Expression in Meningioma: A Multicenter Study.

Rationale And Objectives: This study aimed to develop and validate a machine learning-based prediction model for preoperatively predicting progesterone receptor (PR) expression in meningioma patients using multiparametric magnetic resonance imaging (MRI).

Materials And Methods: The study retrospectively enrolled 739 patients with pathologically confirmed meningioma from three medical centers, dividing them into four cohorts: training (n = 294), internal test (n = 126), external test 1 (n = 217), and external test 2 (n = 102). Radiomics characteristics were derived from T2-weighted and contrast-enhanced T1-weighted MRI images, followed by feature selection.

Cuproptosis, ferroptosis and PANoptosis in tumor immune microenvironment remodeling and immunotherapy: culprits or new hope.

Normal life requires cell division to produce new cells, but cell death is necessary to maintain balance. Dysregulation of cell death can lead to the survival and proliferation of abnormal cells, promoting tumor development. Unlike apoptosis, necrosis, and autophagy, the newly recognized forms of regulated cell death (RCD) cuproptosis, ferroptosis, and PANoptosis provide novel therapeutic strategies for tumor treatment.

Tocilizumab for Advanced Non-Small-Cell Lung Cancer With Concomitant Cachexia: An Observational Study.

Background: Cancer cachexia significantly contributes to morbidity and mortality in patients with non-small-cell lung cancer (NSCLC). Inflammatory pathways mediated by interleukin-6 (IL-6) play a crucial role in the development of cancer cachexia. This study aimed to investigate the use of tocilizumab in the management of NSCLC with coexisting IL-6-elevated cachexia.

Self-targeted smart polyester nanoparticles for simultaneous Delivery of photothermal and chemotherapeutic agents for efficient treatment of HCC.

Advances in nanotechnology offer promising strategies to overcome the limitations of single-drug therapies in hepatocellular carcinoma (HCC) and other cancers such as multidrug resistance and variable drug tolerances. This study proposes a targeted nanoparticle system based on a poly(β-aminoester) (PβAE) core and a hyaluronic acid (HA) shell, designed for the codelivery of doxorubicin (DOX) and indocyanine green (ICG) to effectively treat HCC. These nanoparticles demonstrated remarkable physicochemical and colloidal stability, pH- and temperature-responsive release, enhanced cellular uptake, and drug retention within tumors.

Gut microbiome metabolites, molecular mimicry, and species-level variation drive long-term efficacy and adverse event outcomes in lung cancer survivors.

Background: The influence of the gut microbiota on long-term immune checkpoint inhibitor (ICI) efficacy and immune-related adverse events (irAEs) is poorly understood, as are the underlying mechanisms.

Methods: We performed gut metagenome and metabolome sequencing of gut microbiotas from patients with lung cancer initially treated with anti-PD-1/PD-L1 therapy and explored the underlying mechanisms mediating long-term (median follow-up 1167 days) ICI responses and immune-related adverse events (irAEs). Results were validated in external, publicly-available datasets (Routy, Lee, and McCulloch cohorts).

Dual-energy computed tomography for predicting histological grading and survival in patients with pancreatic ductal adenocarcinoma.

Objectives: We evaluated the value of dual-energy computed tomography (DECT) parameters derived from pancreatic ductal adenocarcinoma (PDAC) to discriminate between high- and low-grade tumors and predict overall survival (OS) in patients.

Methods: Data were retrospectively collected from 169 consecutive patients with pathologically confirmed PDAC who underwent third-generation dual-source DECT enhanced dual-phase scanning before surgery between January 2017 and March 2023. Patients with prior treatments, other malignancies, small tumors, or poor-quality scans were excluded.

Dual-energy computed tomography for predicting cervical lymph node metastasis in laryngeal squamous cell carcinoma.

Rationale And Objectives: We constructed a dual-energy computed tomography (DECT)-based model to assess cervical lymph node metastasis (LNM) in patients with laryngeal squamous cell carcinoma (LSCC).

Materials And Methods: We retrospectively analysed 164 patients with LSCC who underwent preoperative DECT from May 2019 to May 2023. The patients were randomly divided into training (n = 115) and validation (n = 49) cohorts.