Proteomic and transcriptomic analyses identify apo-transcobalamin-II as a biomarker of overall survival in osteosarcoma DOI Creative Commons
Ryan A. Lacinski, Sebastian A. Dziadowicz,

Clark Roth

et al.

Frontiers in Oncology, Journal Year: 2024, Volume and Issue: 14

Published: Oct. 18, 2024

The large-scale proteomic platform known as the SomaScan® assay is capable of simultaneously measuring thousands proteins in patient specimens through next-generation aptamer-based multiplexed technology. While previous studies have utilized peripheral blood to suggest serum biomarkers prognostic or diagnostic value osteosarcoma (OSA), most common primary pediatric bone cancer, they ultimately been limited robustness their analyses. We propose utilizing this technology describe systemic milieu patients diagnosed with disease.

Language: Английский

Liquid biopsy: paving a new avenue for cancer research DOI Creative Commons
Keerthi Kurma, Zahra Eslami‐S, Catherine Alix‐Panabières

et al.

Cell Adhesion & Migration, Journal Year: 2024, Volume and Issue: 18(1), P. 1 - 26

Published: Sept. 1, 2024

The current constraints associated with cancer diagnosis and molecular profiling, which rely on invasive tissue biopsies or clinical imaging, have spurred the emergence of liquid biopsy field. Liquid involves extraction circulating tumor cells (CTCs), free DNA (cfDNA ctDNA), cell-free RNA (cfRNA), extracellular vesicles (EVs), tumor-educated platelets (TEPs) from bodily fluid samples. Subsequently, these components undergo characterization to identify biomarkers that are critical for early detection, prognosis, therapeutic assessment, post-treatment monitoring. These innovative biosources exhibit characteristics analogous those primary they originate interact. This review comprehensively explores diverse technologies methodologies employed processing biosources, along their principal applications.

Language: Английский

Citations

5

Liquid biopsy: an emerging field with new opportunities for cancer diagnosis and prognosis DOI Open Access
Dhahiri Saidi Mashausi, Herve Semukunzi

Asia-Pacific Journal of Oncology, Journal Year: 2025, Volume and Issue: unknown, P. 9 - 17

Published: Jan. 14, 2025

Cancer grades among the deadliest diseases, globally causing death of a over million people each year. Early diagnosis has been considered ideal for efficient treatment as during later stages chances become limited. However, gold standard tissue biopsy various limitation instance, late-stage and its intrusive operation making it unfit repeated sampling. Scientists are passionately looking new technologies techniques cancer prognosis. Liquid emerged diagnostic prognostic tool cancer, that relies on body fluids to identify biomarkers cancer. It offers advantages like non-invasive operation, timely detection, amenable sampling, covers tumor heterogeneity. Wide attention garnered by liquid is undergoing rapid progress in list target biomarkers. The most common circulating cells, DNA, exosomes, educated platelets, non-coding RNAs (miRNA, lncRNA etc.). Each these have unique advantages, indeed technology future with clinical utility. In this article, we tried provide thorough introduction markers, highlighted deployed biopsy, briefly overview their implications indispensable entities diverse types Moreover, discussed prospects revolutionary realm treatment.

Language: Английский

Citations

0

Cancer: Biology and Diagnostics DOI Open Access
Klaus Pantel, Samir Hanash, Kathleen F. Kerr

et al.

Clinical Chemistry, Journal Year: 2024, Volume and Issue: 70(1), P. 1 - 3

Published: Jan. 1, 2024

Journal Article Cancer: Biology and Diagnostics Get access Klaus Pantel, Pantel Institute of Tumor Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany Address correspondence to this author at: Martinistr. 52, 20246 Germany. E-mail [email protected]. Search for other works by on: Oxford Academic Google Scholar Samir Hanash, Hanash Department Clinical Cancer Prevention, The Texas MD Anderson Center, Houston, TX, United States https://orcid.org/0000-0002-4210-1593 Kathleen F Kerr, Kerr Biostatistics, Washington, Seattle, WA, https://orcid.org/0000-0002-6438-9583 David H Wang, Wang Division Hematology-Oncology, Internal Medicine the Simmons Comprehensive Esophageal Diseases Southwestern Dallas, Burns, Burns Pathology, Dana-Farber Institute, Boston, MA, https://orcid.org/0000-0003-1620-3761 Catherine Alix-Panabières Laboratory Rare Human Circulating Cells, Montpellier, France https://orcid.org/0000-0002-6401-2903 Chemistry, Volume 70, Issue 1, January 2024, Pages 1–3, https://doi.org/10.1093/clinchem/hvad200 Published: 04 2024 history Received: 06 October 2023 Accepted: 23

Language: Английский

Citations

1

Correlation Analysis between lncRNA HOXA-AS2 of Circulating Tumor Cells and Radiotherapy Sensitivity in Colon Cancer DOI Open Access

Cheng Duanhui,

Huang Weizheng,

Lai Yingsen

et al.

Frontiers in Medical Science Research, Journal Year: 2024, Volume and Issue: 6(2)

Published: Jan. 1, 2024

The aim of this study is to analyze the association between lncRNA HOXA-AS2 in circulating tumor cells (CTC) and radiotherapy sensitivity colon cancer. researchers detected expression cancer tissues peripheral blood CTC patients with tolerance by RT-PCR method. Subsequently, radiotherapy-tolerant were cultured vitro, was silenced cell transfection, followed radiation therapy. apoptosis after observed MTT assay. results showed that compared patients, significantly down-expressed radiotherapy-sensitive difference statistically significant (P<0.05). improved, also This indicates high negatively associated cells.

Language: Английский

Citations

1

Unlocking the promise of liquid biopsies in precision oncology DOI Creative Commons

Alejandra Pando-Caciano,

Rakesh Kumar Trivedi,

J. Pauwels

et al.

The Journal of Liquid Biopsy, Journal Year: 2024, Volume and Issue: 3, P. 100151 - 100151

Published: March 1, 2024

Language: Английский

Citations

1

CDKN1B(p27kip1) enhances drug tolerant persister CTCs by restricting polyploidy following mitotic inhibitors DOI Creative Commons
E. Philip Horwitz,

Taronish D. Dubash,

Annamária Szabolcs

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Feb. 22, 2024

ABSTRACT The mitotic inhibitor docetaxel (DTX) is often used to treat endocrine-refractory metastatic breast cancer, but initial responses are mitigated as patients eventually have disease progression. Using a cohort of ex vivo cultures circulating tumor cells (CTCs) from with heavily pretreated cancer (n=18), we find two distinct patterns DTX susceptibility, independent clinical treatment history. In CTCs cultured some patients, single dose results in complete cell killing, associated accumulation non-viable polyploid (≥8N) arising endomitosis. others, transient viable drug-tolerant persister (DTP) population emerges, ultimately enabling renewed proliferation preserved parental ploidy and sensitivity. these CTC cultures, efficient cycle exit generates ≤4N state dependent on CDKN1B (p27 Kip1 ). Exposure triggers stabilization through AKT-mediated phosphorylation at serine 10. Suppression reduces the number CTCs, increases ≥8N abrogates regrowth after exposure. Thus, CDKN1B-mediated suppression endomitosis contributes reversible following inhibitors patient-derived refractory cells. Summary bullets Transient tolerant emerge CTCs. DTX-tolerant persisters restrict endoreduplication polyploidy CDKN1 kip 1 exposure induces AKT mediated underlies drug specific inhibitors.

Language: Английский

Citations

0

Improving platelet‐RNA‐based diagnostics: a comparative analysis of machine learning models for cancer detection and multiclass classification DOI Creative Commons
Maksym A. Jopek, Krzysztof Pastuszak,

Michał Sieczczyński

et al.

Molecular Oncology, Journal Year: 2024, Volume and Issue: 18(11), P. 2743 - 2754

Published: June 17, 2024

Liquid biopsy demonstrates excellent potential in patient management by providing a minimally invasive and cost‐effective approach to detecting monitoring cancer, even at its early stages. Due the complexity of liquid data, machine‐learning techniques are increasingly gaining attention sample analysis, especially for multidimensional data such as RNA expression profiles. Yet, there is no agreement community on which methods most effective or how process data. To circumvent this, we performed large‐scale study using various techniques. First, took closer look existing datasets filtered out some patients assert collection quality. The final included platelet samples acquired from 1397 cancer (17 types cancer) 354 asymptomatic, presumed healthy, donors. Then, assessed an array different models (e.g., feature selection transcripts) pan‐cancer detection multiclass classification. Our results show that simple logistic regression performs best, reaching 68% rate 99% specificity level, classification accuracy 79.38% when distinguishing between five types. In summary, revisiting classical models, have exceeded previously used method 5% 9.65% classification, respectively. ease further research, open‐source our code processing pipelines ( https://gitlab.com/jopekmaksym/improving‐platelet‐rna‐based‐diagnostics ), hope will serve strong baseline.

Language: Английский

Citations

0

Proteomic and transcriptomic analyses identify apo-transcobalamin-II as a biomarker of overall survival in osteosarcoma DOI Creative Commons
Ryan A. Lacinski, Sebastian A. Dziadowicz,

Clark Roth

et al.

Frontiers in Oncology, Journal Year: 2024, Volume and Issue: 14

Published: Oct. 18, 2024

The large-scale proteomic platform known as the SomaScan® assay is capable of simultaneously measuring thousands proteins in patient specimens through next-generation aptamer-based multiplexed technology. While previous studies have utilized peripheral blood to suggest serum biomarkers prognostic or diagnostic value osteosarcoma (OSA), most common primary pediatric bone cancer, they ultimately been limited robustness their analyses. We propose utilizing this technology describe systemic milieu patients diagnosed with disease.

Language: Английский

Citations

0