Lesiondiff: enhanced breast cancer classification via dynamic lesion amplification using diffusion models DOI Creative Commons

Yinyi Lai,

Yifan Liu, Qiwen Zhang

et al.

Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization, Journal Year: 2024, Volume and Issue: 12(1)

Published: Nov. 26, 2024

Breast cancer is a leading cause of mortality among women, underscoring the critical need for accurate and early diagnosis to enhance treatment efficacy. Traditional imaging techniques are limited in their ability differentiate between benign malignant lesions, particularly stages, there very few images available lesion area resolution these poor. This paper introduces novel diffusion model that dynamically amplifies areas, providing multi-frame analysis improve classification accuracy. By integrating time-aware motion modeling, proposed method tracks temporal changes Generating sequence magnified frames highlighting subtle features. Tested on BUSI breast ultrasound dataset, our achieved 10.269% improvement accuracy over baseline methods, with an average gain 4.645% across multiple frames. The results demonstrate model's claim diagnostic utility after magnification dynamic amplification approach presents significant advancement computer-aided diagnostics, offering new possibilities improving early-stage detection.

Language: Английский

Synergistic strength: unleashing exercise and polyphenols against breast cancer DOI Creative Commons
Herbert Pang, Bita Badehnoosh

Cancer Cell International, Journal Year: 2025, Volume and Issue: 25(1)

Published: April 15, 2025

Breast cancer remains a major global health challenge, necessitating innovative preventive and therapeutic strategies. Emerging evidence such as clinical trials suggests that the combination of exercise polyphenol intake exerts synergistic effects in mitigating breast progression by modulating key molecular pathways. Exercise enhances immune function, reduces inflammation, regulates cellular metabolism, while polyphenols, natural compounds found various plant-based foods, exhibit antioxidant, anti-inflammatory, anti-carcinogenic properties. Together, these interventions influence apoptosis, oxidative stress, ferroptosis which play crucial roles pathophysiology. This review explores mechanisms underlying combined impact polyphenols on prevention treatment. Understanding interplay between at level could pave way for novel, non-invasive Future research should focus optimizing regimens dietary to maximize their anti-cancer benefits. By bridging insights with applications, this aims provide foundation incorporating lifestyle-based into management. Our findings collectively highlight promising potential combining curcumin supplementation multifaceted approach The observed studies suggest integrating lifestyle modifications may enhance efficacy mitigate progression. Further investigations are warranted validate results explore applicability human subjects. supports holistic strategy management improve patient outcomes quality life during

Language: Английский

Citations

0
Identification of gene signatures associated with lactation for predicting prognosis and treatment response in breast cancer patients through machine learning DOI Creative Commons
Jinfeng Zhao,

Longpeng Li,

Yaxin Wang

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 19, 2025

As a newly discovered histone modification, abnormal lactation has been found to be present in and contribute the development of various cancers. The aim this study was investigate potential role between lactylation prognosis breast cancer patients. Lactylation-associated subtypes were obtained by unsupervised consensus clustering analysis. Lactylation-related gene signature (LRS) constructed 15 machine learning algorithms, relationship LRS tumor microenvironment (TME) as well drug sensitivity analyzed. In addition, expression genes different cells explored single-cell analysis spatial transcriptome. levels clinical tissues verified RT-PCR. Finally, small-molecule compounds analyzed CMap, molecular docking model proteins constructed. composed 6 key (SHCBP1, SIM2, VGF, GABRQ, SUSD3, CLIC6). BC patients high group had poorer TME that promoted progression. Single-cell transcriptome revealed differential cells. results PCR showed SHCBP1, SUSD3 up-regulated tissues, whereas CLIC6 down-regulated tissues. Arachidonyltrifluoromethane, AH-6809, W-13, clofibrate can used target drugs for respectively. we predict treatment response our predicted complexes provide an important reference personalized

Language: Английский

Citations

0
Higher risk of recurrence in early-stage breast cancer patients with increased levels of ribosomal protein S6 DOI Creative Commons
Florencia Cascardo, Micaela Vivanco,

María Cecilia Perrone

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Oct. 24, 2024

Language: Английский

Citations

1
Predictive biomarkers of radiotherapy- related dermatitis, xerostomia, mucositis and dysphagia in head and neck cancer: A systematic review DOI Creative Commons
A. Koch,

Philipp Reinhardt,

Olgun Eliçin

et al.

Radiotherapy and Oncology, Journal Year: 2024, Volume and Issue: 203, P. 110689 - 110689

Published: Dec. 18, 2024

Radiotherapy is essential for treating head and neck cancer but often leads to severe toxicity. Traditional predictors include anatomical location, tumor extent, dosimetric data. Recently, biomarkers have been explored better predict understand This review aims summarize the current literature, assess data quality, guide future research.

Language: Английский

Citations

1
Prognostic potential of CUL3 ligase with differential roles in luminal A and basal type breast cancer tumors DOI Creative Commons
Vasiliki Pantazi,

Vanda Miklós,

Paul E. Smith

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: June 28, 2024

Breast cancer is a prevalent and significant cause of mortality in women, manifests as six molecular subtypes. Its further histologic classification into non-invasive ductal or lobular carcinoma (DCIS) invasive (ILC IDC) underscores its heterogeneity. The ubiquitin-proteasome system plays crucial role breast cancer, with inhibitors targeting the 26S proteasome showing promise clinical treatment. Cullin-RING ubiquitin ligases, including CUL3, have direct links to cancer. This study focuses on CUL3 potential biomarker, leveraging high-throughput sequencing, gene expression profiling, experimental data analysis tools. Through comprehensive using databases like GEPIA2 UALCAN, well TCGA datasets, CUL3's association prognostic values were assessed. Additionally, impact overexpression was explored MCF-7 MDA-MB-231 cell lines, revealing distinct differences phenotypic characteristics. We profiled localization tissues identifying prominent between luminal A TNBC tumors. Conclusively, found be associated cycle progression, DNA damage response, exhibiting diverse roles depending tumor's type. It exhibits tendency act an oncogene triple-negative tumors tumor suppressor types, suggesting significance progression therapeutic directions.

Language: Английский

Citations

1
Tumor Heterogeneity in Triple-Negative Breast Cancer: Shedding Light on the Role of AKT and RUNX DOI
Antonella Vila, Natalia Fernández, Florencia Cascardo

et al.

Interdisciplinary cancer research, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

Language: Английский

Citations

0
Integrated RNA Sequencing Analysis Revealed Early Gene Expression Shifts Associated with Cancer Progression in MCF-7 Breast Cancer Cells Cocultured with Adipose-Derived Stem Cells DOI Creative Commons
Vu Minh Ngoc, Duc Hoang Le, Vũ Thị Thu

et al.

Current Issues in Molecular Biology, Journal Year: 2024, Volume and Issue: 46(11), P. 11817 - 11834

Published: Oct. 23, 2024

Breast cancer remains a prevalent global health challenge, with tumor-removal surgeries being among the most common treatments but often leading to aesthetic defects. Adipose-derived stem cell (ADSC)-enriched fat grafting in breast reconstruction offers promising therapeutic benefits. However, concerns about its oncological safety persist, particularly regarding potential risks of promoting recurrence. This study investigated effects ADSCs on progression by coculturing MCF-7 line for short cultivation period 3 days. We performed an RNA-seq analysis identify significant transcriptomic changes cocultured cells and carried out functional enrichment analyses uncover key biological pathways influenced ADSCs. Our findings revealed that alterations are linked aggressive traits, including upregulation epithelial-mesenchymal transition (EMT) HIF-1 signaling pathway, which indicate shift toward aerobic glycolysis. Some observed gene expression also correlated relapse risk mortality. These underscore need further research explore implications these genes driving phenotypes assess clinical settings.

Language: Английский

Citations

0
Lesiondiff: enhanced breast cancer classification via dynamic lesion amplification using diffusion models DOI Creative Commons

Yinyi Lai,

Yifan Liu, Qiwen Zhang

et al.

Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization, Journal Year: 2024, Volume and Issue: 12(1)

Published: Nov. 26, 2024

Breast cancer is a leading cause of mortality among women, underscoring the critical need for accurate and early diagnosis to enhance treatment efficacy. Traditional imaging techniques are limited in their ability differentiate between benign malignant lesions, particularly stages, there very few images available lesion area resolution these poor. This paper introduces novel diffusion model that dynamically amplifies areas, providing multi-frame analysis improve classification accuracy. By integrating time-aware motion modeling, proposed method tracks temporal changes Generating sequence magnified frames highlighting subtle features. Tested on BUSI breast ultrasound dataset, our achieved 10.269% improvement accuracy over baseline methods, with an average gain 4.645% across multiple frames. The results demonstrate model's claim diagnostic utility after magnification dynamic amplification approach presents significant advancement computer-aided diagnostics, offering new possibilities improving early-stage detection.

Language: Английский

Citations

0