Lightweight Advanced Deep Neural Network (DNN) Model for Early-Stage Lung Cancer Detection DOI Creative Commons
Isha Bhatia,

Aarti Aarti,

Syed Immamul Ansarullah

et al.

Diagnostics, Journal Year: 2024, Volume and Issue: 14(21), P. 2356 - 2356

Published: Oct. 22, 2024

Lung cancer, also known as lung carcinoma, has a high mortality rate; however, an early prediction helps to reduce the risk. In current literature, various approaches have been developed for of carcinoma (at stage), but these still issues, such low accuracy, noise, contrast, poor recognition rates, and false-positive rate, etc. Thus, in this research effort, we proposed advanced algorithm combined two different types deep neural networks make it easier spot melanoma phases.

Language: Английский

The Roles of Exosomal Proteins: Classification, Function, and Applications DOI Open Access
Xinxin Li,

Lu-Xuan Yang,

Chuang Wang

et al.

International Journal of Molecular Sciences, Journal Year: 2023, Volume and Issue: 24(4), P. 3061 - 3061

Published: Feb. 4, 2023

Exosome, a subpopulation of extracellular vesicles, plays diverse roles in various biological processes. As one the most abundant components exosomes, exosomal proteins have been revealed to participate development many diseases, such as carcinoma, sarcoma, melanoma, neurological disorders, immune responses, cardiovascular and infection. Thus, understanding functions mechanisms potentially assists clinical diagnosis targeted delivery therapies. However, current knowledge about function application is still limited. In this review, we summarize classification proteins, exosome biogenesis disease development, well applications.

Language: Английский

Citations

38

Biosensors for the detection of lung cancer biomarkers: A review on biomarkers, transducing techniques and recent graphene-based implementations DOI
Lih Poh Lin, Michelle T.T. Tan

Biosensors and Bioelectronics, Journal Year: 2023, Volume and Issue: 237, P. 115492 - 115492

Published: June 28, 2023

Language: Английский

Citations

38

Application of microfluidic technology based on surface-enhanced Raman scattering in cancer biomarker detection: A review DOI Creative Commons

Nie Changhong,

Ibrahim Shaw, Chuanpin Chen

et al.

Journal of Pharmaceutical Analysis, Journal Year: 2023, Volume and Issue: 13(12), P. 1429 - 1451

Published: Aug. 24, 2023

With the continuous discovery and research of predictive cancer-related biomarkers, liquid biopsy shows great potential in cancer diagnosis. Surface-enhanced Raman scattering (SERS) microfluidic technology have received much attention among various biomarker detection methods. The former has ultrahigh sensitivity can provide a unique fingerprint. In contrast, latter characteristics miniaturization integration, which realize accurate control samples high-throughput through design. Both for point-of-care testing (POCT), their combination (lab-on-a-chip SERS (LoC-SERS)) good compatibility. this paper, basic situation circulating proteins, tumor cells, exosomes, DNA (ctDNA), microRNA (miRNA) diagnosis cancers is reviewed, these biomarkers by LoC-SERS platform recent years described detail. At same time, challenges future development are discussed at end review. Summarizing current expected to reference scholars engaged related work interested field.

Language: Английский

Citations

33

Liquid biopsy-based decision support algorithms for diagnosis and subtyping of lung cancer DOI Creative Commons
Esther Visser, S. Genet,

Remco P.P.A. de Kock

et al.

Lung Cancer, Journal Year: 2023, Volume and Issue: 178, P. 28 - 36

Published: Feb. 1, 2023

Pathologic subtyping of tissue biopsies is the gold standard for diagnosis lung cancer (LC), which could be complicated in cases e.g. inconclusive or unreachable tumors. The LC supported a minimally invasive manner using protein tumor markers (TMs) and circulating DNA (ctDNA) measured liquid (LBx). This study evaluates performance LBx-based decision-support algorithms into small- non-small-cell (SCLC NSCLC) aiming to directly impact clinical practice.In this multicenter prospective (NL9146), eight TMs (CA125, CA15.3, CEA, CYFRA 21-1, HE4, NSE, proGRP SCCA) ctDNA mutations EGFR, KRAS BRAF were analyzed blood 1096 patients suspected LC. individual combined identify LC, NSCLC SCLC was established by evaluating logistic regression models at pre-specified positive predictive values (PPV) ≥95% ≥98%. most informative included multi-parametric selected recursive feature elimination.Single with 46%, 25% 40% sensitivity, respectively, PPVs. Multi-parametric combining significantly improved sensitivities 65%, 67% 50%, respectively.In allowed identification about two-thirds all half patients. These therefore show value may support diagnostics, especially whom pathologic impossible incomplete.

Language: Английский

Citations

24

The Potential Role of MUC16 (CA125) Biomarker in Lung Cancer: A Magic Biomarker but with Adversity DOI Creative Commons
‏Hebatallah M. Saad,

Ghada F. Tourky,

Hayder M. Al‐kuraishy

et al.

Diagnostics, Journal Year: 2022, Volume and Issue: 12(12), P. 2985 - 2985

Published: Nov. 29, 2022

Lung cancer is the second most commonly diagnosed in world. In terms of diagnosis lung cancer, combination carcinoembryonic antigen (CEA) and 125 (CA125) detection had higher sensitivity, specificity, diagnostic odds ratios than CEA alone. Most individuals with elevated serum CA125 levels that was either stage 3 or 4. Serum were similarly patients who also pleural effusions ascites. Furthermore, there strong evidence human produces vitro, which suggests other clinical illnesses outside ovarian could be responsible for rise CA125. MUC16 a natural killer cell inhibitor. As screening test prognosis early stages, has been widely used as marker three different settings. mRNA are increased regardless gender. well, expression mutated enhances cells proliferation growth. Additionally, level thought to key indicator metastasis liver. Further, useful biomarker types diagnoses like ovarian, breast, pancreatic cancers. One important limitations first step such technique up 20% tumors lack expression. Each 10 possible markers expressed 29–100% minimal no Therefore, controversy regarding types. this state, preclinical studies warranted elucidate benefit cancer.

Language: Английский

Citations

30

Multiplexed electrochemical sensing devices for chronic diseases diagnosis and monitoring DOI
Maria‐Bianca Irimeș, Alexandra Pusta, Andreea Cernat

et al.

TrAC Trends in Analytical Chemistry, Journal Year: 2024, Volume and Issue: 172, P. 117560 - 117560

Published: Feb. 8, 2024

Language: Английский

Citations

6

Exosomal Proteomics: Unveiling Novel Insights into Lung Cancer DOI Creative Commons

Guanhua Yi,

Haixin Luo,

Yalin Zheng

et al.

Aging and Disease, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

Although significant progress has been made in early lung cancer screening over the past decade, it remains one of most prevalent and deadliest forms worldwide. Exosomal proteomics emerged as a transformative field research, with potential to redefine diagnostics, prognostic assessments, therapeutic strategies through lens precision medicine. This review discusses recent advances exosome-related proteomic glycoproteomic technologies, highlighting their revolutionise treatment by addressing issues heterogeneity, integrating multiomics data, utilising advanced analytical methods. While these technologies show promise, there are obstacles overcome before they can be widely implemented, such need for standardization, gaps clinical application, importance dynamic monitoring. Future directions should aim challenges fully utilize exosomal cancer. promises new era personalized medicine that leverages molecular complexity exosomes groundbreaking advancements detection, prognosis, treatment.

Language: Английский

Citations

6

Biotin-functionalized nanoparticles: an overview of recent trends in cancer detection DOI
Sonia Fathi‐karkan, Saman Sargazi, Shirin Shojaei

et al.

Nanoscale, Journal Year: 2024, Volume and Issue: 16(27), P. 12750 - 12792

Published: Jan. 1, 2024

Electrochemical bio-sensing is a potent and efficient method for converting various biological recognition events into voltage, current, impedance electrical signals. Biochemical sensors are now common part of medical applications, such as detecting blood glucose levels, food pathogens, specific cancers. As an exciting feature, bio-affinity couples, proteins with aptamers, ligands, paired nucleotides, antibodies antigens, commonly used bio-sensitive elements in electrochemical biosensors. Biotin-avidin interactions have been utilized purposes recent years, targeting drugs, diagnosing clinically, labeling immunologically, biotechnology, biomedical engineering, separating or purifying biomolecular compounds. The interaction between biotin avidin widely regarded one the most robust reliable noncovalent due to its high bi-affinity ability remain selective accurate under reaction conditions bio-molecular attachments. More recently, there numerous attempts develop sense circulating cancer cells measurement intracellular levels protein thiols, formaldehyde, vitamin-targeted polymers, huwentoxin-I, anti-human antibodies, variety tumor markers (including alpha-fetoprotein, epidermal growth factor receptor, prostate-specific Ag, carcinoembryonic antigen 125, 15-3, etc.). Still, non-specific binding endogenous biotin-binding present samples can result false-positive signals hinder detection biomarkers. This review summarizes categories biotin-functional nanoparticles designed detect biomarkers highlights some challenges using them diagnostic tools.

Language: Английский

Citations

6

Lateral flow immunoassay for proteins DOI

Xuanxu Nan,

Yang Li, Yue Cui

et al.

Clinica Chimica Acta, Journal Year: 2023, Volume and Issue: 544, P. 117337 - 117337

Published: April 1, 2023

Language: Английский

Citations

16

Conducting polymer composite-based biosensing materials for the diagnosis of lung cancer: A review DOI
Heru Agung Saputra, Khatun A. Jannath, Kwang Bok Kim

et al.

International Journal of Biological Macromolecules, Journal Year: 2023, Volume and Issue: 252, P. 126149 - 126149

Published: Aug. 13, 2023

Language: Английский

Citations

16