A Novel Approach for Lung Cancer Segmentation and Classification Using MSF-Customized ResNet152 DOI

K. Suresh,

H. Faheem Nikhat,

S. Poonkodi

et al.

IETE Journal of Research, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 13

Published: Dec. 15, 2024

This study presents a novel Multi-Scale Fusion-based Customized ResNet152 (MSF-Customized ResNet152) model for lung cancer segmentation and classification, designed to address challenges in class imbalance feature extraction. The combines multi-scale fusion with depth-wise separable convolution capture fine broad image details, enhancing accuracy. To the minority representation of cancerous regions, weighted recall loss was integrated cross-entropy loss, optimized via Grid Search, increase sensitivity. Additionally, data augmentation techniques were applied expand set, further improving detection robustness. evaluated on two datasets: chest CT-scan dataset colon histopathology dataset. Using 5-fold cross-validation approach, MSF-Customized achieved classification accuracy 98.5%, precision 98.2%, specificity 97.2%, F1-score 97.4%, Dice coefficient 97.3%. Comparative analysis demonstrated superiority combined function over standard methods, validating model's effectiveness handling imbalance.

Language: Английский

CircRNAs: Pivotal modulators of TGF-β signalling in cancer pathogenesis DOI Creative Commons
Asif Ahmad Bhat, Gaurav Gupta, Rajiv Dahiya

et al.

Non-coding RNA Research, Journal Year: 2024, Volume and Issue: 9(2), P. 277 - 287

Published: Jan. 26, 2024

The intricate molecular landscape of cancer pathogenesis continues to captivate researchers worldwide, with Circular RNAs (circRNAs) emerging as pivotal players in the dynamic regulation biological functions. study investigates elusive link between circRNAs and Transforming Growth Factor-β (TGF-β) signalling pathway, exploring their collective influence on progression metastasis. Our comprehensive investigation begins by profiling circRNA expression patterns diverse types, revealing a repertoire intricately linked TGF-β pathway. Through integrated bioinformatics analyses functional experiments, we elucidate specific circRNA-mRNA interactions that modulate signalling, unveiling regulatory controls governing this crucial Furthermore, provide compelling evidence impact circRNA-mediated modulation key cellular processes, including epithelial-mesenchymal transition (EMT), migration, cell proliferation. In addition mechanistic roles, have shown promise diagnostic prognostic biomarkers, well potential targets for therapy. Their ability critical pathways, such axis, underscores significance biology clinical applications. interplay is dissected, uncovering novel circuits contribute complexity biology. This review unravels previously unexplored dimension carcinogenesis, emphasizing role shaping landscape.

Language: Английский

Citations

17
Emerging roles of circular RNAs in tumorigenesis, progression, and treatment of gastric cancer DOI Creative Commons
Qiang Ma,

Feifei Yang,

Bin Xiao

et al.

Journal of Translational Medicine, Journal Year: 2024, Volume and Issue: 22(1)

Published: Feb. 27, 2024

Abstract With an estimated one million new cases reported annually, gastric cancer (GC) ranks as the fifth most diagnosed malignancy worldwide. The early detection of GC remains a major challenge, and prognosis worsens either when patients develop resistance to chemotherapy or radiotherapy metastasizes. precise pathogenesis underlying is not well understood, which further complicates its treatment. Circular RNAs (circRNAs), recently discovered class noncoding that originate from parental genes through “back-splicing”, have been shown play key role in various biological processes both eukaryotes prokaryotes. CircRNAs linked cardiovascular diseases, diabetes, hypertension, Alzheimer's disease, occurrence progression tumors. Prior studies established circRNAs crucial GC, impacting tumorigenesis, diagnosis, progression, therapy resistance. This review aims summarize how contribute tumorigenesis examine their roles development drug resistance, discuss potential biotechnological drugs, response therapeutic drugs microorganism GC.

Language: Английский

Citations

9
Role of circular RNAs and gut microbiome in gastrointestinal cancers and therapeutic targets DOI Creative Commons

Sara Tharwat Abdullah,

Snur Rasool Abdullah, Bashdar Mahmud Hussen

et al.

Non-coding RNA Research, Journal Year: 2023, Volume and Issue: 9(1), P. 236 - 252

Published: Dec. 15, 2023

Gastrointestinal cancers are a huge worldwide health concern, which includes wide variety of digestive tract cancers. Circular RNAs (circRNAs), kind non-coding RNA (ncRNAs), family single-stranded, covalently closed that have become recognized as crucial gene expression regulators, having an impact on several cellular functions in cancer biology. The gut microbiome, consists different bacteria, actively contributes to the regulation host immunity, inflammation, and metabolism. CircRNAs microbiome interact significantly greatly affect growth GI cancer. Several studies focus complex circRNAs microbiota cancers, including esophageal cancer, colorectal gastric hepatocellular pancreatic It also emphasizes how changed circRNA profiles pathways connected malignancy well hallmarks gastrointestinal Furthermore, been recommended biological markers for therapeutic targets diagnostic prognostic purposes. Targeting treatment is being continued study. Despite significant initiatives, connection between emergence remains poorly understood. In this study, we will go over most recent emphasize key roles progression options. order create effective therapies plan future therapy, it important comprehend mechanisms microbiota.

Language: Английский

Citations

11
The role of miR-16 and miR-34a family in the regulation of cancers: A review DOI Creative Commons
Zahra Sadeghi, Mehrnoush Malekzadeh, Mohammadreza Sharifi

et al.

Heliyon, Journal Year: 2025, Volume and Issue: 11(4), P. e42733 - e42733

Published: Feb. 1, 2025

Language: Английский

Citations

0
ncRNAs as Key Regulators in Gastric Cancer: From Molecular Subtyping to Therapeutic Targets DOI
Chen Gu,

Zhenni ChenLiu,

Qihang Wu

et al.

Annals of Surgical Oncology, Journal Year: 2025, Volume and Issue: unknown

Published: May 13, 2025

Language: Английский

Citations

0
Circular RNAs as a novel molecular mechanism in diagnosis, prognosis, therapeutic target, and inhibiting chemoresistance in breast cancer DOI

Nafiseh Tashakori,

M. V. Mikhailova,

Zainab Abbas Mohammedali

et al.

Pathology - Research and Practice, Journal Year: 2024, Volume and Issue: 263, P. 155569 - 155569

Published: Aug. 29, 2024

Language: Английский

Citations

1
The Functional Map of Ultraconserved Regions in Humans, Mice and Rats DOI Creative Commons
Bruno Thiago de Lima Nichio,

Liliane Santana Oliveira,

Ana Carolina Rodrigues

et al.

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

Published: Aug. 28, 2024

Abstract BACKGROUND: Ultraconserved regions (UCRs) encompass 481 DNA segments exceeding 200 base pairs (bp), displaying 100% sequence identity across humans, mice, and rats, indicating profound conservation taxa pivotal functional roles in human health disease. Despite two decades since their discovery, many UCRs remain to be explored owing incomplete annotation, particularly of newly identified long non-coding RNAs (lncRNAs), limited data aggregation large-scale databases. This study offers a comprehensive map UCRs, investigating genomic transcriptomic implications: (i) enriching UCR annotation data, including ancestral genomes; (ii) exploring lncRNAs containing T-UCRs pan-cancers; (iii) elucidating involvement regulatory elements; (iv) analyzing population single-nucleotide variations linked motifs, expression patterns, diseases. RESULTS: Our results indicate that, although high number protein-coding transcripts with (1,945 from 2,303), 1,775 contained outside CDS regions. Focusing on transcripts, 355 are mapped 85 lncRNA genes, 35 them differentially expressed at least one TCGA cancer type, seven strongly associated survival time, 23 according single-cell analysis. Additionally, we elements 373 (77.5%), found 353 SNP-UCRs (with 1% frequency) potential effects, such as motif changes, eQTL potential, associations disease/traits. Finally, 4 novel that had not been previously described. CONCLUSION: report compiles organizes all the above information, providing new insights into mechanisms diagnostic applications.

Language: Английский

Citations

0
A Novel Approach for Lung Cancer Segmentation and Classification Using MSF-Customized ResNet152 DOI

K. Suresh,

H. Faheem Nikhat,

S. Poonkodi

et al.

IETE Journal of Research, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 13

Published: Dec. 15, 2024

This study presents a novel Multi-Scale Fusion-based Customized ResNet152 (MSF-Customized ResNet152) model for lung cancer segmentation and classification, designed to address challenges in class imbalance feature extraction. The combines multi-scale fusion with depth-wise separable convolution capture fine broad image details, enhancing accuracy. To the minority representation of cancerous regions, weighted recall loss was integrated cross-entropy loss, optimized via Grid Search, increase sensitivity. Additionally, data augmentation techniques were applied expand set, further improving detection robustness. evaluated on two datasets: chest CT-scan dataset colon histopathology dataset. Using 5-fold cross-validation approach, MSF-Customized achieved classification accuracy 98.5%, precision 98.2%, specificity 97.2%, F1-score 97.4%, Dice coefficient 97.3%. Comparative analysis demonstrated superiority combined function over standard methods, validating model's effectiveness handling imbalance.

Language: Английский

Citations

0