Background: The study aimed to identify risk factors associated with overall survival (OS) of patients with lung adenocarcinoma (LACA) with brain metastasis and developed a prognostic tool (nomogram) for these patients.
Methods: LACA patients with brain metastases between 2010 and 2013 were selected from the Surveillance, Epidemiology, and End Results (SEER) database. Kaplan-Meier analysis and a Cox regression model were used to assess the prognostic effect of variables on survival rate. A nomogram was developed to predict 3-, 6- and 9-month OS rates.
Results: 2,631 LACA patients with brain metastases were studied. A nomogram was developed by using variables that affected OS and was validated by internal bootstrap resampling, which revealed that the nomogram had satisfactory discrimination.
Conclusions: The nomogram was able to predict 3-, 6- and 9-month OS for patients with LACA and brain metastases.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1272/jnms.JNMS.2021_88-410 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Radiomic signatures of brain metastases on MRI: utility in predicting pathological subtypes of lung cancer.
Transl Cancer Res
December 2024
Department of Radiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.
Background: The pathological sub-classification of lung cancer is crucial in diagnosis, treatment and prognosis for patients. Quick and timely identification of pathological subtypes from imaging examinations rather than histological tests could help guiding therapeutic strategies. The aim of the study is to construct a non-invasive radiomics-based model for predicting the subtypes of lung cancer on brain metastases (BMs) from multiple magnetic resonance imaging (MRI) sequences.
View Article and Find Full Text PDFThe Association of Plasma Asymmetric Dimethylarginine Concentrations and Inflammation Markers in Non-small Cell Lung Cancer.
Sisli Etfal Hastan Tip Bul
December 2024
Department of Radiation Oncology, University of Health Sciences Türkiye, Sisli Hamidiye Etfal Training and Research Hospital, Istanbul, Türkiye.
Objectives: Nonsmall cell lung cancer (NSCLC) accounts for about 85% of all lung cancers. Asymmetric dimethylarginine (ADMA) is an emerging molecule that is highlighted in carcinogenesis and tumor progression in lung cancer. Since elevated concentrations of ADMA are observed in lung cancer patients, we aimed to explore its associations with inflammation markers and established prognostic indices.
View Article and Find Full Text PDFSecrets revealed by the skin: initial success of tislelizumab and targeted therapy in advanced renal cell carcinoma-a case report and literature review.
Transl Androl Urol
December 2024
Department of Urology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Background: In renal cell carcinoma (RCC), skin metastases (SMs) occur in only 3.3% of cases and are even rarer as an initial manifestation of the disease. Although combination therapy with immune checkpoint inhibitors (ICIs) and targeted agents is the current standard of care, access to these treatments may be limited in certain regions due to cost constraints.
View Article and Find Full Text PDFThe potential role of tumor deposits in the prognosis and TNM staging for colorectal cancer.
J Gastrointest Oncol
December 2024
Department of Oncology, The Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, China.
Background: Tumor deposits (TDs) can impact proper staging of cancer, which is crucial for discussing prognosis and determining the appropriate treatment plan. Our study aimed to correlate how TDs influence prognosis of resected colorectal cancer (CRC) and how to optimize tumor-node-metastasis (TNM) staging with respect to TDs for clinical decision-making.
Methods: A retrospective analysis was performed on 611 patients with CRC treated in Jiangsu Cancer Hospital from January 1, 2010 to December 31, 2020 among whom 197 had TDs.
A Risk Model Based on Ferroptosis-Related Genes OSMR, G0S2, IGFBP6, IGHG2, and FMOD Predicts Prognosis in Glioblastoma Multiforme.
CNS Neurosci Ther
January 2025
Department of Neurosurgery, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Background: Glioblastoma multiforme (GBM) is a common and highly aggressive brain tumor with a poor prognosis. However, the prognostic value of ferroptosis-related genes (FRGs) and their classification remains insufficiently studied.
Objective: This study aims to explore the significance of ferroptosis classification and its risk model in GBM using multi-omics approaches and to evaluate its potential in prognostic assessment.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!