Lung Cancer Associated with Cystic Airspaces: Current Insights into Diagnosis, Pathophysiology, and Treatment Strategies.

Lung cancer associated with cystic airspaces (LCCA) is a rare subtype of non-small-cell lung cancer (NSCLC), accounting for 1-4% of cases. LCCA is characterized by the presence of cystic airspaces within or at the periphery of the tumor on imaging. LCCA poses significant clinical challenges due to its high risk of misdiagnosis or missed diagnosis, often leading to a worse prognosis compared to other forms of lung cancer.

Quantitative analysis of imaging characteristics in lung adenocarcinoma in situ using artificial intelligence.

Background: With the rising incidence of pulmonary nodules (PNs), lung adenocarcinoma in situ (AIS) is a critical early stage of lung cancer, necessitating accurate diagnosis for early intervention. This study applies artificial intelligence (AI) for quantitative imaging analysis to differentiate AIS from atypical adenomatous hyperplasia (AAH) and minimally invasive adenocarcinoma (MIA), aiming to enhance clinical diagnosis and prevent misdiagnosis.

Methods: The study analyzed 1215 PNs with confirmed AAH, AIS, and MIA from six centers using the Shukun AI diagnostic module.

The mediating and moderating role of nursing information competence between nurses' creative self-efficacy and innovation behavior in a specialized oncology hospital.

Objective: This study aims to examine the impact of nurses' nursing information competence on their creative self-efficacy and innovation behavior, and to investigate its role as a mediating factor between these two elements.

Methods: A survey was conducted from July to September 2023 involving 1,200 nurses from two tertiary-level oncology specialty hospitals in Beijing, selected through convenience sampling. Instruments used included the Creative Self-Efficacy Scale, Nursing Information Competence Assessment Scale, and Nurses' Innovative Behavior Scale.

Relationship between work readiness, transition shock, and job competency among new nurses in oncology hospitals - A longitudinal study based on a latent growth model.

Background: Nursing job competency is critical for talent development both globally and in China, relating to work readiness and transition shock. Previous studies, which have typically relied on average measurements at fixed time points, have not provided comprehensive longitudinal insights.

Aim: This study aimed to investigate the developmental trajectories of transition shock in new nurses at oncology specialty hospitals.

Time-dependent prognostic impact of circumferential resection margin in T3 thoracic esophageal squamous cell carcinoma.

Esophageal cancer presents a clinical challenge due to its high incidence and unfavorable prognosis. The prognostic role of the circumferential resection margin (CRM) remains highly controversial, potentially due to its temporal dynamics coupled with variability in follow-up durations across studies. We aimed to explore the time-dependent prognostic significance of CRM in T3 esophageal squamous cell carcinomas (ESCCs).

Patient-reported outcomes in lung cancer surgery: A narrative review.

Lung cancer is a leading cause of cancer-related mortality worldwide, profoundly affecting patients' quality of life. Patient-reported outcomes (PROs) provide essential insights from the patients' perspective, a crucial aspect often overlooked by traditional clinical outcomes. This review synthesizes research on the role of PROs in lung cancer surgery to enhance patient care and outcomes.

Analysis of surgical complexity and short-term prognostic indicators in NSCLC patients: neoadjuvant targeted therapy neoadjuvant chemoimmunotherapy.

Background: Neoadjuvant therapy improves survival benefits in patients with locally advanced non-small cell lung cancer but increases tissue density, presenting challenges for surgeons.

Objectives: To compare the differences in surgical complexity and short-term prognostic outcomes between neoadjuvant targeted therapy (NTT) and neoadjuvant chemoimmunotherapy (NCI).

Design/methods: This study enrolled 106 patients underwent curative surgery after neoadjuvant therapy between January 2020 and December 2023 at the National Cancer Center of China.

Mitochondrial Fission Is Involved in Heat Resistance in Zebrafish.

Global warming and extreme weather events pose a significant threat to global biodiversity, with rising water temperatures exerting a profound influence on fish conservation and fishery development. In this study, we used zebrafish as a model organism to explore the impact of a heat acclimation period on their survival rates. The results demonstrated that a 2-month heat acclimation period almost completely mitigated heat stress-induced mortality in zebrafish.

Proteome-Wide Multicenter Mendelian Randomization Analysis to Identify Novel Therapeutic Targets for Lung Cancer.

Introduction: Lung cancer (LC) remains a leading cause of cancer mortality worldwide, underscoring the urgent need for novel therapeutic targets. The integration of Mendelian randomization (MR) with proteomic data presents a novel approach to identifying potential targets for LC treatment.

Methods: This study utilized a proteome-wide MR analysis, leveraging publicly available data from genome-wide association studies (GWAS) and protein quantitative trait loci (pQTL) studies.

Career adaptability among new oncology nurses: A longitudinal exploration.

Aim: This study aims to explore the longitudinal predictive effect of self-awareness on career adaptability in new nurses at a tumor specialty hospital and the mediating mechanisms of work readiness and transition shock.

Background: Career adaptability is crucial for the personal development of nurses and also intricately linked to the retention rates among newcomers in oncology nursing. Inadequate career adaptability contributes to higher turnover, which in turn exacerbates the shortage of qualified nursing personnel in this field.

The impact of open access on citations, Pageviews, and downloads: a scientometric analysis in Postgraduate Medical Journal.

Purpose: The influence of Open Access (OA) on the citation impact of scholarly articles remains a topic of considerable debate. This study aims to elucidate the relationship between OA publication and citation metrics, as well as article visibility, within the context of the Postgraduate Medical Journal (PMJ).

Methods: We conducted a retrospective analysis of 373 articles published in PMJ between 2020 and 2021.

Treatment patterns and clinical outcomes of patients with resectable non-small cell lung cancer receiving neoadjuvant immunochemotherapy: A large-scale, multicenter, real-world study (NeoR-World).

Background: Neoadjuvant immunotherapy has ushered in a new era of perioperative treatment for resectable non-small cell lung cancer (NSCLC). However, large-scale data for verifying the efficacy and optimizing the therapeutic strategies of neoadjuvant immunochemotherapy in routine clinical practice are scarce.

Methods: NeoR-World (NCT05974007) was a multicenter, retrospective cohort study involving patients who received neoadjuvant immunotherapy plus chemotherapy or chemotherapy alone in routine clinical practice from 11 medical centers in China between January 2010 and March 2022.

Pathological response and tumor stroma immunogenic features predict long-term survival in non-small cell lung cancer after neoadjuvant chemotherapy.

Purpose: Major pathological response (MPR) has become a surrogate endpoint for overall survival (OS) in non-small cell lung cancer (NSCLC) after neoadjuvant therapy, however, the prognostic histologic features and optimal N descriptor after neoadjuvant therapy are poorly defined.

Methods: We retrospectively analyzed data from 368 NSCLC patients who underwent surgery after neoadjuvant chemotherapy (NAC) from January 2010 to December 2020. The percentage of residual viable tumors in the primary tumor, lymph nodes (LN), and inflammation components within the tumor stroma were comprehensively reviewed.

Proposed novel grading system for stage I invasive lung adenocarcinoma and a comparison with the 2020 IASLC grading system.

Background: Several studies have proposed grading systems for risk stratification of early-stage lung adenocarcinoma based on histological patterns. However, the reproducibility of these systems is poor in clinical practice, indicating the need to develop a new grading system which is easy to apply and has high accuracy in prognostic stratification of patients.

Methods: Patients with stage I invasive nonmucinous lung adenocarcinoma were retrospectively collected from pathology archives between 2009 and 2016.

New perspectives on cancer clinical research in the era of big data and machine learning.

In the 21st century, the development of medical science has entered the era of big data, and machine learning has become an essential tool for mining medical big data. The establishment of the SEER database has provided a wealth of epidemiological data for cancer clinical research, and the number of studies based on SEER and machine learning has been growing in recent years. This article reviews recent research based on SEER and machine learning and finds that the current focus of such studies is primarily on the development and validation of models using machine learning algorithms, with the main directions being lymph node metastasis prediction, distant metastasis prediction, and prognosis-related research.

Screening microRNAs as potential prognostic biomarkers for lung adenocarcinoma.

Objective: To screen and identify microRNAs (miRNAs) associated with the prognosis of lung adenocarcinoma (LUAD) using clinical samples and construct a prediction model for the prognosis of LUAD.

Methods: 160 patient samples were used to screen and identify miRNAs associated with the prognosis of LUAD. Differentially expressed miRNAs were analyzed using gene chip technology.

Effects of burnout and work engagement in the relationship between self-efficacy and safety behaviours-A chained mediation modelling analysis.

Aims: To explore the current situation, influencing factors and pathways of safety behaviour of nurses in tumour specialized hospitals, in order to provide a theoretical basis for managers to manage and train nurses, improve their safety behaviour level and ensure medical safety.

Design: An anonymous cross-sectional survey.

Method: A total of 2147 nurses from Grade A cancer hospitals in 15 provinces of China were selected by a convenient sampling method.

Nomograms for intraoperative prediction of lymph node metastasis in clinical stage IA lung adenocarcinoma.

Background: Accurate prediction of lymph node metastasis (LNM) is critical for selecting optimal surgical procedures in early-stage lung adenocarcinoma (LUAD). This study aimed to develop nomograms for intraoperative prediction of LNM in clinical stage IA LUAD.

Methods: A total of 1227 patients with clinical stage IA LUADs on computed tomography (CT) were enrolled to construct and validate nomograms for predicting LNM (LNM nomogram) and mediastinal LNM (LNM-N2 nomogram).

Efficacy, Safety, and Biomarker Analysis of Neoadjuvant Camrelizumab and Apatinib in Patients With Resectable NSCLC: A Phase 2 Clinical Trial.

Introduction: Camrelizumab (an anti-programmed cell death protein-1 antibody) combined with apatinib (an antiangiogenic agent) has conferred benefits for advanced NSCLC. We aimed to assess the activity and safety of neoadjuvant camrelizumab plus apatinib in patients with resectable NSCLC.

Methods: In this phase 2 trial, patients with histologically confirmed resectable stages IIA to IIIB NSCLC (stage IIIB, T3N2 only) received intravenous camrelizumab (200 mg) every 2 weeks for three cycles and oral apatinib (250 mg) once daily for 5 days followed by 2 days off for 6 weeks.