Potential of circulating tumour DNA as a biomarker in liquid biopsy DOI Creative Commons

Dimitar K. Dimitrov,

Hristo Ivanov, Nelly Miteva-Marcheva

et al.

Biotechnology & Biotechnological Equipment, Journal Year: 2023, Volume and Issue: 37(1)

Published: Nov. 9, 2023

Modern oncology has been influenced and transformed by precision personalized medicine, especially with the introduction of therapy. The ever-increasing knowledge genome contributes to advancement medicine. Liquid biopsy (LB) is a diagnostic approach great potential for use in LB isolation analysis tumour-derived components such as circulating tumour cells, DNA, RNA extracellular vesicles. continuous development new techniques field holds promise its widespread use. A challenge scientists standardization these techniques, allowing their application clinical practice. This review presents biological characteristics popular methods detection analysis, utility biomarker liquid biopsy.

Language: Английский

Extracellular vesicles as a promising source of lipid biomarkers for breast cancer detection in blood plasma DOI Creative Commons
Erika Dorado,

M. Luísa Dória,

Anika Nagelkerke

et al.

Journal of Extracellular Vesicles, Journal Year: 2024, Volume and Issue: 13(3)

Published: March 1, 2024

Abstract Extracellular vesicles (EVs), including exosomes and microvesicles, mediate intercellular communication in cancer, from development to metastasis. EV‐based liquid biopsy is a promising strategy for cancer diagnosis as EVs can be found patients’ body fluids. In this study, the lipid composition of breast cancer‐derived was studied well potential blood plasma identification biomarkers detection. Initially, an untargeted lipidomic analysis carried out panel cancerous non‐cancerous mammary epithelial cells their secreted EVs. We that are enriched sphingolipids glycerophospholipids compared parental cells. The initial vitro study showed correctly classified (100% accuracy) between non‐cancerous, into respective subtypes, based on composition. Subsequently, women diagnosed with (primary or progressive metastatic cancer) healthy women. Correspondingly, when were analysed, patients overall accuracy 93.1%, EVs’ Similarly, primary 95% correct classification. Furthermore, cancers 89.5%. This reveals lipids may source detection cancer. Additionally, demonstrates usefulness lipidomics EV EV‐associated biomarker discovery studies. proof‐of‐concept starting point further

Language: Английский

Citations

24

Liquid Biopsy in the Clinical Management of Cancers DOI Open Access

Ho-Yin Ho,

Kei-See Chung,

Chau-Ming Kan

et al.

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(16), P. 8594 - 8594

Published: Aug. 6, 2024

Liquid biopsy, a noninvasive diagnosis that examines circulating tumor components in body fluids, is increasingly used cancer management. An overview of relevant literature emphasizes the current state liquid biopsy applications care. Biomarkers particularly DNA (ctDNA), RNAs (ctRNA), cells (CTCs), extracellular vesicles (EVs), and other components, offer promising opportunities for early diagnosis, treatment selection, monitoring, disease assessment. The implementation precision medicine has shown significant potential various types, including lung cancer, colorectal breast prostate cancer. Advances genomic molecular technologies such as next-generation sequencing (NGS) digital polymerase chain reaction (dPCR) have expanded utility enabling detection somatic variants actionable alterations tumors. also demonstrated predicting responses, monitoring minimal residual (MRD), assessing heterogeneity. Nevertheless, standardizing techniques, interpreting results, integrating them into clinical routine remain challenges. Despite these challenges, implications management, offering dynamic approach to understanding biology guiding personalized strategies.

Language: Английский

Citations

9

Role of the International Society of Liquid Biopsy (ISLB) in establishing quality control frameworks for clinical integration DOI
Nicola Fusco, Umberto Malapelle, Christian Rolfo

et al.

Critical Reviews in Oncology/Hematology, Journal Year: 2025, Volume and Issue: unknown, P. 104619 - 104619

Published: Jan. 1, 2025

Language: Английский

Citations

1

Comprehensive insights into pathogenicity and emerging CRISPR-integrated biosensors for the early detection of breast cancer biomarkers DOI

Ashok Saini,

Neeraj Dilbaghi, Neelam Yadav

et al.

Microchemical Journal, Journal Year: 2025, Volume and Issue: unknown, P. 112908 - 112908

Published: Jan. 1, 2025

Language: Английский

Citations

1

Next-generation sequencing for PTEN testing in HR+/HER2˗ metastatic breast cancer DOI
Nicola Fusco, Umberto Malapelle

Critical Reviews in Oncology/Hematology, Journal Year: 2025, Volume and Issue: unknown, P. 104626 - 104626

Published: Feb. 1, 2025

Language: Английский

Citations

1

ESR1 mutations in HR+/HER2-metastatic breast cancer: Enhancing the accuracy of ctDNA testing DOI
Konstantinos Venetis, Francesco Pepe, Carlo Pescia

et al.

Cancer Treatment Reviews, Journal Year: 2023, Volume and Issue: 121, P. 102642 - 102642

Published: Oct. 13, 2023

Language: Английский

Citations

14

Early Breast Cancer Risk Assessment: Integrating Histopathology with Artificial Intelligence DOI Open Access
Mariia Ivanova, Carlo Pescia, Dario Trapani

et al.

Cancers, Journal Year: 2024, Volume and Issue: 16(11), P. 1981 - 1981

Published: May 23, 2024

Effective risk assessment in early breast cancer is essential for informed clinical decision-making, yet consensus on defining categories remains challenging. This paper explores evolving approaches stratification, encompassing histopathological, immunohistochemical, and molecular biomarkers alongside cutting-edge artificial intelligence (AI) techniques. Leveraging machine learning, deep convolutional neural networks, AI reshaping predictive algorithms recurrence risk, thereby revolutionizing diagnostic accuracy treatment planning. Beyond detection, applications extend to histological subtyping, grading, lymph node assessment, feature identification, fostering personalized therapy decisions. With rising rates, it crucial implement accelerate breakthroughs practice, benefiting both patients healthcare providers. However, important recognize that while offers powerful automation analysis tools, lacks the nuanced understanding, context, ethical considerations inherent human pathologists patient care. Hence, successful integration of into practice demands collaborative efforts between medical experts computational optimize outcomes.

Language: Английский

Citations

5

Evaluation of the efficacy of totally implantable venous access port in breast cancer patients undergoing chemotherapy DOI Creative Commons
Youguang Guo, Xiaoping Wang, Yaping Huang

et al.

Discover Oncology, Journal Year: 2025, Volume and Issue: 16(1)

Published: March 24, 2025

The use of Totally Implantable Venous Access Port (TIVAP) has gained importance in chemotherapy for cancer patients due to its ability reduce complications compared conventional central venous catheters. Chemotherapy breast often requires long-term access, and the choice device can impact both treatment efficacy patient quality life. This study randomly divided 355 patients, who were treated from January 2022 2023, into TIVAP group (n = 177) control 178) evaluate application effect TIVAP. used totally implantable access ports, while those We clinical efficacy, daily life, complications, satisfaction between two groups. Statistical analysis was performed using t-tests continuous data χ2 tests categorical data. Our results showed that total 96.61% 90.45% group, groups significantly different (P < 0.05). Before intervention, living scores analyzed, difference not significant > After (77.41 ± 7.02) higher than (66.75 6.42) 0.05).In terms complication rate, 5.08%, which lower (12.36%), Therefore, effectively toxic side effects chemotherapy, ensure drugs according cycle, then improve outcome.

Language: Английский

Citations

0

Liquid Biopsy in Solid Tumours: An Overview DOI Creative Commons
Pasquale Pisapia,

Antonino Iaccarino,

Giancarlo Troncone

et al.

Cytopathology, Journal Year: 2025, Volume and Issue: unknown

Published: April 11, 2025

The advent of personalised and precision medicine has radically modified the management clinical outcome cancer patients. However, expanding number predictive, prognostic, diagnostic biomarkers raised need for simple, noninvasive, quicker, but equally efficient tests molecular profiling. In this complex scenario, adoption liquid biopsy, particularly circulating tumour DNA (ctDNA), been a real godsend many patients who would otherwise have denied benefits targeted treatments. Undeniably, ctDNA analysis several advantages over conventional tissue-based analysis. One advantage is that it can guide treatment decision making, especially when tissue samples are scarce or totally unavailable. Indeed, simple blood test inform clinicians on patients' response resistance to therapies, help them monitor minimal residual disease (MRD) after surgical resections, facilitate with early detection interception. Finally, an important decipher temporal spatial heterogeneity, mechanism highly responsible therapeutic resistance. review, we gathered analysed current evidence usefulness in solid tumours.

Language: Английский

Citations

0

Early prognosis prediction in acute myeloid and acute lymphoid leukemia patients using cell-free DNA concentration ratios DOI Creative Commons

Noreen Grace George,

Bhavika Rishi, Amitabh Singh

et al.

Frontiers in Molecular Biosciences, Journal Year: 2024, Volume and Issue: 10

Published: Jan. 22, 2024

Background: Cell-free DNA (cfDNA) is a promising biomarker for disease prediction in many cancers, including acute leukemia (acute myeloid [AML] and lymphoblastic [ALL]). This study investigated the role of cfDNA predicting relapse or unfavorable outcomes patients upon initial diagnosis. Methods: Paired peripheral blood samples 25 with ALL AML were compared at baseline induction/follow-up clinically correlated clinicopathological outcome variables according to risk category. was isolated using commercial extraction kits. The probability poor high-risk groups cut-off value stratification minimal residual (MRD) positivity derived. Results: Twenty-five diagnosed risk-stratified based on NCI stratification, these patients, 4 standard (SR) 1 patient intermediate (IR), while majority (80%) high (HR). Of these, four HR passed away. ratio reduction end induction strong predictor regardless MRD status. A score 2.6 higher diagnosis/remission predicted outcomes, accuracy than conventional detection by flow cytometry. Conclusion: predicts patients. pilot suggests that scoring may be useful tool prognosis

Language: Английский

Citations

3