Identification and validation of an explainable transformer-based model for predicting the prognosis of patients with Non-small cell lung cancer DOI Creative Commons
Peng Zhang,

Ruizi Ren,

Zhanliang Ren

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 10, 2024

Abstract Background Currently, there is a lack of practical and explainable prognostic models for NSCLC in clinical settings. This study aims to construct an model using the Transformer framework deep learning. Methods 119751 patients from Surveillance, Epidemiology End Results (SEER) database were used train Transformer-based predict overall survival (OS) at 12, 24, 60 months. Additionally, SHapley Additive exPlanation (SHAP) method was employed interpret constructed model, show casing importance various indicators on patient different time points. Result The dependent AUC values 12 months, 24 months 0.853, 0.860 0.871 i n training cohort, 0.863, 0.881, 0.899 validation 0.850, 0.851 0.869 testing respectively. Moreover, risk scoring system based Kaplan Meier (KM) curves can accurately divide into three groups. Ultimately, demonstrates differences short-term long-term survival. Conclusion distant metastasis tumor has significant effect patients. surgery long term more than short

Language: Английский

Updated perspectives on visceral pleural invasion in non-small cell lung cancer: A propensity score-matched analysis of the SEER database DOI
Jingxin Liu, Yibing Wang,

Xianwei Zhou

et al.

Current Problems in Cancer, Journal Year: 2025, Volume and Issue: 56, P. 101205 - 101205

Published: April 18, 2025

Language: Английский

Citations

0
Single-cell RNA sequencing reveals immune microenvironment niche transitions during the invasive and metastatic processes of ground-glass nodules and part-solid nodules in lung adenocarcinoma DOI Creative Commons
Yifeng Ren,

Qiong Ma,

Xiao Zeng

et al.

Molecular Cancer, Journal Year: 2024, Volume and Issue: 23(1)

Published: Nov. 23, 2024

Radiographically, ground-glass nodules (GGN) and part-solid (PSN) in lung adenocarcinoma (LUAD) have significant heterogeneity their clinical manifestations, biological characteristics, prognosis. This study aimed to explore the of LUAD different radiological phenotypes associated factors influencing tumor evolution. We performed single-cell RNA sequencing (scRNA-seq) on tissues from eight seven cases GGN– PSN–LUAD, respectively, at disease stages, including minimally invasive (MIA), (IAC), metastatic cancer (MLC). Additionally, we analyzed adjacent normal four cases. Immunohistochemistry, multiplex immunofluorescence, external scRNA-seq data were employed confirm expression signature genes as well distribution patterns CXCL9 + TAMs TREM2 TAMs. A mouse model was generated using gene editing, organoid culture, orthotopic transplantation techniques, comprehensive analyses such histopathology, sequencing, Western blotting validate key pathways. Diverse cellular compositions observed microenvironment (TME) during PSN–LUAD invasion metastasis. Notably, tumor-associated macrophages (TAMs) exhibited most enrichment changes. It found that GGN–LUAD a stronger immune response than with increased interaction between CD8 tissue-resident memory T cells stage (MIA–IAC). Conversely, greater interactions MLC stage. differentiate into /SPP1 /SPP1– which promotes progression. also emphasizes transdifferentiation process IFN-γ activates STAT1 signaling pathway regulate activation TAMs, further recruiting Trm activating through MHC class I antigen presentation. The role IFN-γ/STAT1 occurrence development validated by animal experiments. Our findings offer potential therapeutic strategy maintain dynamic balance within TME improve immunotherapy efficacy modulating relative proportions functional states

Language: Английский

Citations

3
Respiratory pathology and cardiovascular diseases: A Scoping Review DOI Creative Commons
Francisco Campos‐Rodríguez, Eusebi Chiner, David de la Rosa

et al.

Open Respiratory Archives, Journal Year: 2024, Volume and Issue: 7(1), P. 100392 - 100392

Published: Nov. 23, 2024

Language: Английский

Citations

3
Imaging of Lung Cancer Staging: TNM 9 Updates DOI
Lauren T. Erasmus, Chad D. Strange, Jitesh Ahuja

et al.

Seminars in Ultrasound CT and MRI, Journal Year: 2024, Volume and Issue: unknown

Published: July 1, 2024

Language: Английский

Citations

2
CHANGE IN THERAPEUTIC MANAGEMENT AFTER LEFT ADRENAL BIOPSY WITH A SINGLE ECHO GUIDED BRONCHOSCOPY: PUSHING THE ENVELOPE DOI
Juan Alejandro Cascón, L. Fernández,

Francisco López González

et al.

Archivos de Bronconeumología, Journal Year: 2024, Volume and Issue: 60(9), P. 598 - 599

Published: April 30, 2024

Language: Английский

Citations

1
The impact of introducing deep learning based [18F]FDG PET denoising on EORTC and PERCIST therapeutic response assessments in digital PET/CT DOI Creative Commons
Kathleen Weyts, Justine Lequesne, Alison Johnson

et al.

EJNMMI Research, Journal Year: 2024, Volume and Issue: 14(1)

Published: Aug. 10, 2024

[

Citations

1
The prognosis and metabolite changes of NSCLC patients receiving first‐line immunotherapy combined chemotherapy in different M1c categories according to 9th edition of TNM classification DOI Creative Commons
Liang Zheng, Fang Hu, Wei Nie

et al.

Cancer Medicine, Journal Year: 2024, Volume and Issue: 13(17)

Published: Sept. 1, 2024

Abstract Background The 9th edition of the TNM Classification for lung cancer delineates M1c into two subcategories: M1c1 (Multiple extrathoracic lesions within a single organ system) and M1c2 involving multiple systems). Existing research indicates that patients with in stage exhibit superior overall survival compared to those M1c2. primary frontline therapy advanced non‐small cell (NSCLC), lacking driver gene mutations, involves use immune checkpoint inhibitors (ICIs) combined chemotherapy. Nevertheless, dearth evidence exists regarding potential disparities between NSCLC undergoing first‐line immune‐chemotherapy, reliable biomarkers predicting treatment outcomes are elusive. Serum metabolic profiles may elucidate distinct prognostic mechanisms, necessitating identification divergent metabolites combination therapy. This study seeks scrutinize discrepancies various metastatic patterns (M1c1 M1c2) pinpoint associated ICIs Method In this study, 33 mutations diagnosed M1c1, 22 similarly according Classification, were enrolled. These received PD‐1 inhibitor plus relationship progression‐free (PFS) was analyzed using univariate multivariate Cox regression models. samples obtained from all before initiation untargeted metabolomics analysis, aiming identify differential metabolites. Results analysis PFS, receiving chemotherapy exhibited an extended PFS (HR = 0.49, 95% CI, 0.27–0.88, p 0.017). analyses, these also demonstrated prolonged 0.45, 0.22–0.92, 0.028). serum displayed notable distinctions. comparison patients, alterations pathways pretreatment, including platelet activation, linoleic acid metabolism, VEGF signaling pathway. Diminished levels lipid‐associated (diacylglycerol, sphingomyelin) correlated adverse outcomes. Conclusion devoid chemotherapy, experienced patients. Moreover, metabolomic strongly prognosis unfavorable manifested changes treatment. predominantly involved lipid such as decreased diacylglycerol sphingomyelin, which impact tumor migration invasion.

Language: Английский

Citations

1
Proposed Ninth Edition TNM Staging System for Lung Cancer: Guide for Radiologists DOI
Maximiliano Klug, Zehavit Kirshenboim, Mylene T. Truong

et al.

Radiographics, Journal Year: 2024, Volume and Issue: 44(12)

Published: Nov. 14, 2024

A comprehensive understanding of the proposed updates in ninth edition TNM staging system for lung cancer enables radiologists to provide accurate clinical radiologic staging, enhancing precision predicting therapy outcomes and facilitating an individualized approach each patient.

Language: Английский

Citations

1
Distant Metastatic Patterns in Young and Old Non-Small Cell Lung Cancer Patients: A Dose‒Response Analysis Based on Seer Population DOI

Yingxian Dong,

Sicheng Zhou,

Jue Li

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

0
Analysis of surgical complexity and short-term prognostic indicators in NSCLC patients: neoadjuvant targeted therapy versus neoadjuvant chemoimmunotherapy DOI Creative Commons
Kun Wang, Hang Yi, Zhuoheng Lv

et al.

Therapeutic Advances in Medical Oncology, Journal Year: 2024, Volume and Issue: 16

Published: Jan. 1, 2024

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 surgical complexity and short-term prognostic outcomes between neoadjuvant targeted (NTT) chemoimmunotherapy (NCI). Design/methods: This study enrolled 106 underwent curative surgery after January 2020 December 2023 at National Cancer Center of China. Differences two cohorts were evaluated. The pathological indicators such as response rate lymph node upstaging/downstaging then analyzed. Results: In total, 33 NTT 73 NCI preoperatively. Patients who received showed a higher minimally invasive (84.8% versus 53.4%, p < 0.01), shorter operative time (144 184 min, lower conversion (3.3% 17.8%, = 0.03), less postoperative drainage (day 3: 140 200 mL, incidence complications including arrhythmias (6.1% 26%, 0.02). groups was 70% 75%, respectively, latter group showing complete rate. had no significant major Conclusion: presented fewer surgeons better than those therapy, comparable rates cohorts. Accordingly, is preferred induction regimen harboring mutation status.

Language: Английский

Citations

0