Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11479001 | PMC |
| http://dx.doi.org/10.4103/singaporemedj.SMJ-2023-212 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
In situ RAS:RAF binding correlates with response to KRASG12C inhibitors in KRASG12C--mutant non-small cell lung cancer.
Clin Cancer Res
January 2025
Moffitt Cancer Center, Tampa, Florida, United States.
Purpose: Therapeutic efficacy of KRASG12C(OFF) inhibitors (KRASG12Ci) in KRASG12C-mutant non-small cell lung cancer (NSCLC) varies widely. The activation status of RAS signaling in tumors with KRASG12C mutation remains unclear, as its ability to cycle between the active GTP-bound and inactive GDP-bound states may influence downstream pathway activation and therapeutic responses. We hypothesized that the interaction between RAS and its downstream effector RAF in tumors may serve as indicators of RAS activity, rendering NSCLC tumors with a high degree of RAS engagement and downstream effects more responsive to KRASG12Ci compared to tumors with lower RAS---RAF interaction.
View Article and Find Full Text PDFComplete blood counts as potential risk factors of early dissemination to liver and lungs in resected colorectal cancer: a retrospective cohort study.
Int J Colorectal Dis
January 2025
Department of Pathomorphology, Medical University of Gdańsk, Gdańsk, Poland.
Purpose: Liver and lung metastases demonstrate distinct biological, particularly immunological, characteristics. We investigated whether preoperative complete blood count (CBC) parameters, which may reflect the immune system condition, predict early dissemination to the liver and lungs in colorectal cancer (CRC).
Methods: In this retrospective single-centre study, we included 268 resected CRC cases with complete 2-year follow-up and analysed preoperative CBC for association with early liver or lung metastasis development.
Is Achieving a Fully Race-Neutral Approach to Lung Function Classification Even Possible?
Am J Respir Crit Care Med
January 2025
The University of Alabama at Birmingham, Division of Pulmonary, Allergy, and Critical Care Medicine, Birmingham, Alabama, United States.
Automated Deep Learning-Based Detection and Segmentation of Lung Tumors at CT.
Radiology
January 2025
Stanford University School of Medicine, Department of Radiation Oncology, Stanford, CA, US.
Background Detection and segmentation of lung tumors on CT scans are critical for monitoring cancer progression, evaluating treatment responses, and planning radiation therapy; however, manual delineation is labor-intensive and subject to physician variability. Purpose To develop and evaluate an ensemble deep learning model for automating identification and segmentation of lung tumors on CT scans. Materials and Methods A retrospective study was conducted between July 2019 and November 2024 using a large dataset of CT simulation scans and clinical lung tumor segmentations from radiotherapy plans.
View Article and Find Full Text PDFSelf-Efficacy in Hypertension Management Using e-Health Technology: A Randomized Controlled Trial in Primary Care.
J Clin Hypertens (Greenwich)
January 2025
Center for Primary Health Care Research, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden.
Self-efficacy is tightly intertwined with person-centered care and correlates with engaging in self-care behaviors, an important part of hypertension treatment. Evidence indicates that e-Health-based self-management interventions could increase self-efficacy. The objectives of this study were to investigate whether an intervention with a person-centered approach supported by e-Health technology can impact self-efficacy.
View Article and Find Full Text PDFWant 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!