Detection and Characterization of Methylated Circulating Tumor DNA in Gastric Cancer DOI Open Access
Seung Young Seo, Sang Hee Youn, Jin‐Han Bae

et al.

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(13), P. 7377 - 7377

Published: July 5, 2024

Gastric cancer is the fifth most common disease in world and fourth cause of death. It diagnosed through esophagogastroduodenoscopy with biopsy; however, there are limitations finding lesions early stages. Recently, research has been actively conducted to use liquid biopsy diagnose various cancers, including gastric cancer. Various substances derived from reflected blood. By analyzing these substances, it was expected that not only presence or absence but also type can be diagnosed. However, amount extremely small, even have variables depending on characteristics individual To overcome these, we collected methylated DNA fragments using MeDIP compared them normal plasma characterize tissue patients' plasma. We attempted blood As a result, confirmed consistency between approximately 41.2% found possibility diagnosing characterizing SFR 5'end-motif analysis.

Language: Английский

Radiomics and machine learning for predicting metachronous liver metastasis in rectal cancer DOI
Arunkumar Krishnan

World Journal of Gastrointestinal Oncology, Journal Year: 2025, Volume and Issue: 17(4)

Published: March 24, 2025

A recent study by Long et al used a predictive model to explore the efficacy of radiomics based on multiparametric magnetic resonance imaging in predicting metachronous liver metastasis (MLM) newly diagnosed rectal cancer (RC) patients. The machine learning algorithms, particularly random forest (RFM), appeared well-matched complex nature data. capabilities RFM, as evidenced area under curve 0.919 training cohort and 0.901 validation cohort, highlighted its potential clinical utility. However, we several methodological limitations, including excluding genomic markers, biases from retrospective design, limited generalizability due single-center study, variability image interpretation. We propose further investigation into integrating multi-omic data, conducting larger multicenter studies, utilizing advanced techniques. Additionally, importance interdisciplinary collaboration improve development advocate for cost-effectiveness analyses facilitate integration. Overall, this may early detection management MLM RC patients, with promising avenues future exploration. Ongoing research domain can potentially outcomes quality care

Language: Английский

Citations

0

Emerging molecular testing paradigms in non-small cell lung cancer management—current perspectives and recommendations DOI Creative Commons
Frédérique Penault‐Llorca, Mark A. Socinski

The Oncologist, Journal Year: 2025, Volume and Issue: unknown

Published: March 24, 2025

Advances in molecular testing and precision oncology have transformed the clinical management of lung cancer, especially non-small cell enhancing diagnosis, treatment, outcomes. Practical guidelines offer insights into selecting appropriate biomarkers assays, emphasizing importance comprehensive testing. However, real-world data reveal underutilization biomarker consequently targeted therapies. Molecular often occurs late diagnosis or not at all practice, leading to delayed inadequate treatment. Enhancing requires adherence best practices by health care professionals involved, which can ultimately improve cancer patient The future for will likely involve a more personalized approach, starting increasingly from earlier disease settings, with novel complex therapies, immunotherapies, combination regimens, relying on liquid biopsies, muti-detection advanced genomic technologies integration, artificial intelligence as central orchestrator. This review presents currently known actionable mutations new upcoming ones that are enter practice soon provides an overview established emerging concepts methodologies. Challenges discussed recommendations made relevant today, continue be future, other types too.

Language: Английский

Citations

0

Comprehensive assessment of the role of spectral data pre-processing in spectroscopy-based liquid biopsy DOI
Ondřej Vrtělka, Kateřina Králová, Markéta Fousková

et al.

Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, Journal Year: 2025, Volume and Issue: unknown, P. 126261 - 126261

Published: April 1, 2025

Language: Английский

Citations

0

Tumor heterogeneity in retinoblastoma: a literature review DOI Creative Commons
Rani Pallavi,

Bihari Lal Soni,

Gaurab Kumar Jha

et al.

Cancer and Metastasis Reviews, Journal Year: 2025, Volume and Issue: 44(2)

Published: April 22, 2025

Tumor heterogeneity, characterized by the presence of diverse cell populations within a tumor, is key feature complex nature cancer. This diversity arises from emergence cells with varying genomic, epigenetic, transcriptomic, and phenotypic profiles over course disease. Host factors tumor microenvironment play crucial roles in driving both inter-patient intra-patient heterogeneity. These can exhibit different behaviors, such as rates proliferation, responses to treatment, potential for metastasis. Both heterogeneity pose significant challenges cancer therapeutics management. In retinoblastoma, while at clinical presentation level has been recognized some time, recent attention shifted towards understanding underlying cellular review primarily focuses on retinoblastoma its implications therapeutic strategies disease management, emphasizing need further research exploration this challenging area.

Language: Английский

Citations

0

Enhancing detection and monitoring of circulating tumor cells: Integrative approaches in liquid biopsy advances DOI Creative Commons

Thanmayi Velpula,

Buddolla Viswanath

The Journal of Liquid Biopsy, Journal Year: 2025, Volume and Issue: unknown, P. 100297 - 100297

Published: April 1, 2025

Language: Английский

Citations

0

cfOmics: a cell-free multi-Omics database for diseases DOI Creative Commons
Mingyang Li,

Tianxiu Zhou,

Mingfei Han

et al.

Nucleic Acids Research, Journal Year: 2023, Volume and Issue: 52(D1), P. D607 - D621

Published: Sept. 27, 2023

Abstract Liquid biopsy has emerged as a promising non-invasive approach for detecting, monitoring diseases, and predicting their recurrence. However, the effective utilization of liquid data to identify reliable biomarkers various cancers other diseases requires further exploration. Here, we present cfOmics, web-accessible database (https://cfomics.ncRNAlab.org/) that integrates comprehensive multi-omics data, including cfDNA, cfRNA based on next-generation sequencing, proteome, metabolome mass-spectrometry data. As first in field, cfOmics encompasses total 17 distinct types 13 specimen variations across 69 disease conditions, with collection 11345 samples. Moreover, includes reported potential reference. To facilitate analysis visualization offers powerful functionalities its users. These include browsing, profile visualization, Integrative Genomic Viewer, correlation analysis, all centered around genes, microbes, or end-motifs. The primary objective is assist researchers field by providing This enables them explore cell-free extract profound insights can significantly impact diagnosis, treatment monitoring, management.

Language: Английский

Citations

7

BRAF V600E mutation detected in cell‐free DNA from conventional ameloblastomas fluid aspirate DOI
Allan Vinícius Martins‐de‐Barros,

Ana Maria Ipólito Barros,

Raisa Jordana Geraldine Severino Lazo

et al.

Oral Diseases, Journal Year: 2024, Volume and Issue: 30(6), P. 3962 - 3965

Published: Jan. 2, 2024

The authors have no conflict of interest to declare. data that support the findings this study are available from corresponding author upon reasonable request.

Language: Английский

Citations

2

Diversity of the Circulating Tumor Markers: Perspectives of a Multimodal Liquid Biopsy DOI
Ekatherina Sh. Kuligina, Grigoriy A. Yanus, Evgeny N. Imyanitov

et al.

Biochemistry (Moscow), Journal Year: 2024, Volume and Issue: 89(11), P. 1985 - 1997

Published: Nov. 1, 2024

Language: Английский

Citations

2

Proteomics and Metabolomics in Biomedicine DOI Open Access
Lucia Santorelli, Marianna Caterino, Michele Costanzo

et al.

International Journal of Molecular Sciences, Journal Year: 2023, Volume and Issue: 24(23), P. 16913 - 16913

Published: Nov. 29, 2023

The technological advances of recent years have significantly enhanced medical discoveries [...]

Language: Английский

Citations

6

Epithelial-to-Mesenchymal Transition Gene Signature in Circulating Melanoma Cells: Biological and Clinical Relevance DOI Open Access

Maria Cristina Rapanotti,

Elisa Cugini,

Elena Campione

et al.

International Journal of Molecular Sciences, Journal Year: 2023, Volume and Issue: 24(14), P. 11792 - 11792

Published: July 22, 2023

The most promising method for monitoring patients with minimal morbidity is the detection of circulating melanoma cells (CMCs). We have shown that CD45−CD146+ABCB5+ CMCs identify a rare primitive stem/mesenchymal population associated disease progression. epithelial-to-mesenchymal transition (EMT) confers cancer hybrid epithelial/mesenchymal phenotype promoting metastatization. Thus, we investigated potential clinical value EMT gene signature these CMCs. A reliable quantitative real-time polymerase chain reaction (qRT-PCR) protocol was settled up using tumor cell lines RNA dilutions. Afterwards, immune-magnetically isolated from advanced patients, at onset and first checkpoint (following immune or targeted therapy), were tested level hallmarks transcription factor genes. Despite small cohort obtained results. Indeed, observed deep rewiring genes: in particular found correlated patients’ outcomes. In conclusion, established qRT-PCR high sensitivity specificity to characterize expression To our knowledge, this evidence demonstrating impact therapies on hallmark expressions patients.

Language: Английский

Citations

5