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Chen K, He Y, Wang W, Yuan X, Carbone DP, Yang F. Development of new techniques and clinical applications of liquid biopsy in lung cancer management. Sci Bull (Beijing) 2024; 69:1556-1568. [PMID: 38641511 DOI: 10.1016/j.scib.2024.03.062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 12/12/2023] [Accepted: 01/17/2024] [Indexed: 04/21/2024]
Abstract
Lung cancer is an exceedingly malignant tumor reported as having the highest morbidity and mortality of any cancer worldwide, thus posing a great threat to global health. Despite the growing demand for precision medicine, current methods for early clinical detection, treatment and prognosis monitoring in lung cancer are hampered by certain bottlenecks. Studies have found that during the formation and development of a tumor, molecular substances carrying tumor-related genetic information can be released into body fluids. Liquid biopsy (LB), a method for detecting these tumor-related markers in body fluids, maybe a way to make progress in these bottlenecks. In recent years, LB technology has undergone rapid advancements. Therefore, this review will provide information on technical updates to LB and its potential clinical applications, evaluate its effectiveness for specific applications, discuss the existing limitations of LB, and present a look forward to possible future clinical applications. Specifically, this paper will introduce technical updates from the prospectives of engineering breakthroughs in the detection of membrane-based LB biomarkers and other improvements in sequencing technology. Additionally, it will summarize the latest applications of liquid biopsy for the early detection, diagnosis, treatment, and prognosis of lung cancer. We will present the interconnectedness of clinical and laboratory issues and the interplay of technology and application in LB today.
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Affiliation(s)
- Kezhong Chen
- Department of Thoracic Surgery, Peking University People's Hospital, Beijing 100044, China; Peking University People's Hospital Thoracic Oncology Institute & Research Unit of Intelligence Diagnosis and Treatment in Early Non-small Cell Lung Cancer, Beijing 100044, China
| | - Yue He
- Department of Thoracic Surgery, Peking University People's Hospital, Beijing 100044, China; Peking University People's Hospital Thoracic Oncology Institute & Research Unit of Intelligence Diagnosis and Treatment in Early Non-small Cell Lung Cancer, Beijing 100044, China
| | - Wenxiang Wang
- Department of Thoracic Surgery, Peking University People's Hospital, Beijing 100044, China; Peking University People's Hospital Thoracic Oncology Institute & Research Unit of Intelligence Diagnosis and Treatment in Early Non-small Cell Lung Cancer, Beijing 100044, China
| | - Xiaoqiu Yuan
- Peking University Health Science Center, Beijing 100191, China
| | - David P Carbone
- Thoracic Oncology Center, Ohio State University, Columbus 43026, USA.
| | - Fan Yang
- Department of Thoracic Surgery, Peking University People's Hospital, Beijing 100044, China; Peking University People's Hospital Thoracic Oncology Institute & Research Unit of Intelligence Diagnosis and Treatment in Early Non-small Cell Lung Cancer, Beijing 100044, China.
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2
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Wu P, Li D, Zhang C, Dai B, Tang X, Liu J, Wu Y, Wang X, Shen A, Zhao J, Zi X, Li R, Sun N, He J. A unique circulating microRNA pairs signature serves as a superior tool for early diagnosis of pan-cancer. Cancer Lett 2024; 588:216655. [PMID: 38460724 DOI: 10.1016/j.canlet.2024.216655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2023] [Revised: 11/18/2023] [Accepted: 01/16/2024] [Indexed: 03/11/2024]
Abstract
Cancer remains a major burden globally and the critical role of early diagnosis is self-evident. Although various miRNA-based signatures have been developed in past decades, clinical utilization is limited due to a lack of precise cutoff value. Here, we innovatively developed a signature based on pairwise expression of miRNAs (miRPs) for pan-cancer diagnosis using machine learning approach. We analyzed miRNA spectrum of 15832 patients, who were divided into training, validation, test, and external test sets, with 13 different cancers from 10 cohorts. Five different machine-learning (ML) algorithms (XGBoost, SVM, RandomForest, LASSO, and Logistic) were adopted for signature construction. The best ML algorithm and the optimal number of miRPs included were identified using area under the curve (AUC) and youden index in validation set. The AUC of the best model was compared to previously published 25 signatures. Overall, Random Forest approach including 31 miRPs (31-miRP) was developed, proving highly efficient in cancer diagnosis across different datasets and cancer types (AUC range: 0.980-1.000). Regarding diagnosis of cancers at early stage, 31-miRP also exhibited high capacities, with AUC ranging from 0.961 to 0.998. Moreover, 31-miRP exhibited advantages in differentiating cancers from normal tissues (AUC range: 0.976-0.998) as well as differentiating cancers from corresponding benign lesions. Encouragingly, comparing to previously published 25 different signatures, 31-miRP also demonstrated clear advantages. In conclusion, 31-miRP acts as a powerful model for cancer diagnosis, characterized by high specificity and sensitivity as well as a clear cutoff value, thereby holding potential as a reliable tool for cancer diagnosis at early stage.
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Affiliation(s)
- Peng Wu
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Dongyu Li
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China; 4+4 Medical Doctor Program, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Chaoqi Zhang
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Bing Dai
- School of Software, Tsinghua University, Beijing, 100084, China
| | - Xiaoya Tang
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Jingjing Liu
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Yue Wu
- Department of Clinical Laboratory, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Xingwu Wang
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Ao Shen
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Jiapeng Zhao
- 4+4 Medical Doctor Program, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Xiaohui Zi
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Ruirui Li
- Department of Pathology, National Cancer Center/ National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Nan Sun
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
| | - Jie He
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
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3
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Schmidt K, Riedel T, de los Santos Pereira A, Lynn NS, Dorado Daza DF, Dostalek J. Sandwich Immuno-RCA Assay with Single Molecule Counting Readout: The Importance of Biointerface Design. ACS APPLIED MATERIALS & INTERFACES 2024; 16:17109-17119. [PMID: 38530402 PMCID: PMC11009916 DOI: 10.1021/acsami.3c18304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 03/08/2024] [Accepted: 03/11/2024] [Indexed: 03/28/2024]
Abstract
The analysis of low-abundance protein molecules in human serum is reported based on counting of the individual affinity-captured analyte on a solid sensor surface, yielding a readout format similar to digital assays. In this approach, a sandwich immunoassay with rolling circle amplification (RCA) is used for single molecule detection (SMD) through associating the target analyte with spatially distinct bright spots observed by fluorescence microscopy. The unspecific interaction of the target analyte and other immunoassay constituents with the sensor surface is of particular interest in this work, as it ultimately limits the performance of this assay. It is minimized by the design of the respective biointerface and thiol self-assembled monolayer with oligoethylene (OEG) head groups, and a poly[oligo(ethylene glycol) methacrylate] (pHOEGMA) antifouling polymer brush was used for the immobilization of the capture antibody (cAb) on the sensor surface. The assay relying on fluorescent postlabeling of long single-stranded DNA that are grafted from the detection antibody (dAb) by RCA was established with the help of combined surface plasmon resonance and surface plasmon-enhanced fluorescence monitoring of reaction kinetics. These techniques were employed for in situ measurements of conjugating of cAb to the sensor surface, tagging of short single-stranded DNA to dAb, affinity capture of the target analyte from the analyzed liquid sample, and the fluorescence readout of the RCA product. Through mitigation of adsorption of nontarget molecules on the sensor surface by tailoring of the antifouling biointerface, optimizing conjugation chemistry, and by implementing weak Coulombic repelling between dAb and the sensor surface, the limit of detection (LOD) of the assay was substantially improved. For the chosen interleukin-6 biomarker, SMD assay with LOD at a concentration of 4.3 fM was achieved for model (spiked) samples, and validation of the ability of detection of standard human serum samples is demonstrated.
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Affiliation(s)
- Katharina Schmidt
- Laboratory
for Life Sciences and Technology (LiST), Danube Private University, Viktor-Kaplan-Straße 2, 2700 Wiener, Neustadt, Austria
| | - Tomas Riedel
- Institute
of Macromolecular Chemistry, Czech Academy
of Sciences, Heyrovského
nám. 2, Prague 162
00, Czech Republic
| | - Andres de los Santos Pereira
- Institute
of Macromolecular Chemistry, Czech Academy
of Sciences, Heyrovského
nám. 2, Prague 162
00, Czech Republic
| | - N. Scott Lynn
- FZU-Institute
of Physics, Czech Academy of Sciences, Na Slovance 2, Prague 182 21, Czech Republic
| | - Diego Fernando Dorado Daza
- Institute
of Macromolecular Chemistry, Czech Academy
of Sciences, Heyrovského
nám. 2, Prague 162
00, Czech Republic
| | - Jakub Dostalek
- Laboratory
for Life Sciences and Technology (LiST), Danube Private University, Viktor-Kaplan-Straße 2, 2700 Wiener, Neustadt, Austria
- FZU-Institute
of Physics, Czech Academy of Sciences, Na Slovance 2, Prague 182 21, Czech Republic
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Wang B, Wang M, Lin Y, Zhao J, Gu H, Li X. Circulating tumor DNA methylation: a promising clinical tool for cancer diagnosis and management. Clin Chem Lab Med 2024; 0:cclm-2023-1327. [PMID: 38443752 DOI: 10.1515/cclm-2023-1327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Accepted: 02/19/2024] [Indexed: 03/07/2024]
Abstract
Cancer continues to pose significant challenges to the medical community. Early detection, accurate molecular profiling, and adequate assessment of treatment response are critical factors in improving the quality of life and survival of cancer patients. Accumulating evidence shows that circulating tumor DNA (ctDNA) shed by tumors into the peripheral blood preserves the genetic and epigenetic information of primary tumors. Notably, DNA methylation, an essential and stable epigenetic modification, exhibits both cancer- and tissue-specific patterns. As a result, ctDNA methylation has emerged as a promising molecular marker for noninvasive testing in cancer clinics. In this review, we summarize the existing techniques for ctDNA methylation detection, describe the current research status of ctDNA methylation, and present the potential applications of ctDNA-based assays in the clinic. The insights presented in this article could serve as a roadmap for future research and clinical applications of ctDNA methylation.
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Affiliation(s)
- Binliang Wang
- Department of Respiratory Medicine, Huangyan Hospital Affiliated to Wenzhou Medical University, Taizhou, P.R. China
| | - Meng Wang
- Institute of Health Education, Hangzhou Center for Disease Control and Prevention, Hangzhou, P.R. China
| | - Ya Lin
- Zhejiang University of Chinese Medicine, Hangzhou, P.R. China
| | - Jinlan Zhao
- Scientific Research Department, Zhejiang Shengting Medical Company, Hangzhou, P.R. China
| | - Hongcang Gu
- Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, P.R. China
- Anhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Science, Hefei, P.R. China
| | - Xiangjuan Li
- Department of Gynaecology, Hangzhou Obstetrics and Gynecology Hospital, Hangzhou, P.R. China
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5
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Galant N, Nicoś M, Kuźnar-Kamińska B, Krawczyk P. Variant Allele Frequency Analysis of Circulating Tumor DNA as a Promising Tool in Assessing the Effectiveness of Treatment in Non-Small Cell Lung Carcinoma Patients. Cancers (Basel) 2024; 16:782. [PMID: 38398173 PMCID: PMC10887123 DOI: 10.3390/cancers16040782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Revised: 02/06/2024] [Accepted: 02/07/2024] [Indexed: 02/25/2024] Open
Abstract
Despite the different possible paths of treatment, lung cancer remains one of the leading causes of death in oncological patients. New tools guiding the therapeutic process are under scientific investigation, and one of the promising indicators of the effectiveness of therapy in patients with NSCLC is variant allele frequency (VAF) analysis. VAF is a metric characterized as the measurement of the specific variant allele proportion within a genomic locus, and it can be determined using methods based on NGS or PCR. It can be assessed using not only tissue samples but also ctDNA (circulating tumor DNA) isolated from liquid biopsy. The non-invasive characteristic of liquid biopsy enables a more frequent collection of material and increases the potential of VAF analysis in monitoring therapy. Several studies have been performed on patients with NSCLC to evaluate the possibility of VAF usage. The research carried out so far demonstrates that the evaluation of VAF dynamics may be useful in monitoring tumor progression, remission, and recurrence during or after treatment. Moreover, the use of VAF analysis appears to be beneficial in making treatment decisions. However, several issues require better understanding and standardization before VAF testing can be implemented in clinical practice. In this review, we discuss the difficulties in the application of ctDNA VAF analysis in clinical routine, discussing the diagnostic and methodological challenges in VAF measurement in liquid biopsy. We highlight the possible applications of VAF-based measurements that are under consideration in clinical trials in the monitoring of personalized treatments for patients with NSCLC.
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Affiliation(s)
- Natalia Galant
- Department of Pneumonology, Oncology and Allergology, Medical University of Lublin, 20-059 Lublin, Poland
| | - Marcin Nicoś
- Department of Pneumonology, Oncology and Allergology, Medical University of Lublin, 20-059 Lublin, Poland
| | - Barbara Kuźnar-Kamińska
- Department of Pulmonology, Allergology and Respiratory Oncology, Poznan University of Medical Sciences, 61-710 Poznan, Poland;
| | - Paweł Krawczyk
- Department of Pneumonology, Oncology and Allergology, Medical University of Lublin, 20-059 Lublin, Poland
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6
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Wu D, Mao J, Liu J, Zhang X, Ying S. The application value of circulating tumor DNA methylation biomarkers in early diagnosis of non-small cell lung cancer. Minerva Med 2024; 115:107-109. [PMID: 37338233 DOI: 10.23736/s0026-4806.23.08752-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/21/2023]
Affiliation(s)
- Dongping Wu
- Department of Radiation Oncology, Shaoxing People's Hospital, Shaoxing, China
| | - Jiwei Mao
- Department of Radiation Oncology, Shaoxing People's Hospital, Shaoxing, China
| | - Jianjiang Liu
- Department of Radiation Oncology, Shaoxing People's Hospital, Shaoxing, China
| | - Xiaoyu Zhang
- Department of Radiation Oncology, Shaoxing People's Hospital, Shaoxing, China
| | - Shenpeng Ying
- Department of Radiation Oncology, Taizhou Central Hospital, Affiliated Hospital of Taizhou University, Taizhou, China -
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7
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Pura-Bryant J, Olivera JA, Antonoff MB. Biomarkers: a new frontier in lung cancer detection. Transl Lung Cancer Res 2024; 13:210-212. [PMID: 38404994 PMCID: PMC10891402 DOI: 10.21037/tlcr-23-801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2023] [Accepted: 12/29/2023] [Indexed: 02/27/2024]
Affiliation(s)
| | | | - Mara B. Antonoff
- Thoracic and Cardiovascular Surgery Department, UT MD Anderson Cancer Center, Houston, TX, USA
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8
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Derbal Y. Adaptive Control of Tumor Growth. Cancer Control 2024; 31:10732748241230869. [PMID: 38294947 PMCID: PMC10832444 DOI: 10.1177/10732748241230869] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 12/04/2023] [Accepted: 01/15/2024] [Indexed: 02/02/2024] Open
Abstract
Cancer treatment optimizations select the most optimum combinations of drugs, sequencing schedules, and appropriate doses that would limit toxicity and yield an improved patient quality of life. However, these optimizations often lack an adequate consideration of cancer's near-infinite potential for evolutionary adaptation to therapeutic interventions. Adapting cancer therapy based on monitored tumor burden and clonal composition is an intuitively sound approach to the treatment of cancer as an inherently complex and adaptive system. The adaptation would be driven by clinical outcome setpoints embodying the aims to thwart therapeutic resistance and maintain a long-term management of the disease or even a cure. However, given the nonlinear, stochastic dynamics of tumor response to therapeutic interventions, adaptive therapeutic strategies may at least need a one-step-ahead prediction of tumor burden to maintain their control over tumor growth dynamics. The article explores the feasibility of adaptive cancer treatment driven by tumor state feedback assuming cell adaptive fitness to be the underlying source of phenotypic plasticity and pathway entropy as a biomarker of tumor growth trajectory. The exploration is undertaken using deterministic and stochastic models of tumor growth dynamics.
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Affiliation(s)
- Youcef Derbal
- Ted Rogers School of Information Technology Management, Toronto Metropolitan University, Toronto, ON, Canada
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9
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Qian X, Meng QH. Circulating lung cancer biomarkers: From translational research to clinical practice. Tumour Biol 2024; 46:S27-S33. [PMID: 37927289 DOI: 10.3233/tub-230012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2023] Open
Abstract
Fundamental studies on biomarkers as well as developed assays for their detection can provide valuable information facilitating clinical decisions. For patients with lung cancer, there are established circulating biomarkers such as serum progastrin-releasing peptide (ProGRP), neuron-specific enolase (NSE), squamous cell carcinoma antigen (SCC-Ag), carcinoembryonic antigen (CEA), and cytokeratin-19 fragment (CYFRA21-1). There are also molecular biomarkers for targeted therapy such as epidermal growth factor receptor (EGFR) gene, anaplastic lymphoma kinase (ALK) gene, KRAS gene, and BRAF gene. However, there is still an unmet need for biomarkers that can be used for early detection and predict treatment response and survival. In this review, we describe the lung cancer biomarkers that are currently being used in clinical practice. We also discuss emerging preclinical and clinical studies on new biomarkers such as omics-based biomarkers for their potential clinical use to detect, predict, or monitor subtypes of lung cancer. Additionally, between-method differences in tumor markers warrant further development and improvement of the standardization and harmonization for each assay.
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Affiliation(s)
- Xu Qian
- Department of Clinical Laboratory, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou, China
| | - Qing-He Meng
- Department of Laboratory Medicine, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
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Bertoli E, De Carlo E, Basile D, Zara D, Stanzione B, Schiappacassi M, Del Conte A, Spina M, Bearz A. Liquid Biopsy in NSCLC: An Investigation with Multiple Clinical Implications. Int J Mol Sci 2023; 24:10803. [PMID: 37445976 DOI: 10.3390/ijms241310803] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Revised: 06/25/2023] [Accepted: 06/26/2023] [Indexed: 07/15/2023] Open
Abstract
Tissue biopsy is essential for NSCLC diagnosis and treatment management. Over the past decades, liquid biopsy has proven to be a powerful tool in clinical oncology, isolating tumor-derived entities from the blood. Liquid biopsy permits several advantages over tissue biopsy: it is non-invasive, and it should provide a better view of tumor heterogeneity, gene alterations, and clonal evolution. Consequentially, liquid biopsy has gained attention as a cancer biomarker tool, with growing clinical applications in NSCLC. In the era of precision medicine based on molecular typing, non-invasive genotyping methods became increasingly important due to the great number of oncogene drivers and the small tissue specimen often available. In our work, we comprehensively reviewed established and emerging applications of liquid biopsy in NSCLC. We made an excursus on laboratory analysis methods and the applications of liquid biopsy either in early or metastatic NSCLC disease settings. We deeply reviewed current data and future perspectives regarding screening, minimal residual disease, micrometastasis detection, and their implication in adjuvant and neoadjuvant therapy management. Moreover, we reviewed liquid biopsy diagnostic utility in the absence of tissue biopsy and its role in monitoring treatment response and emerging resistance in metastatic NSCLC treated with target therapy and immuno-therapy.
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Affiliation(s)
- Elisa Bertoli
- Department of Medical Oncology, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy
- Department of Medicine (DAME), University of Udine, 33100 Udine, Italy
| | - Elisa De Carlo
- Department of Medical Oncology, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy
| | - Debora Basile
- Department of Medical Oncology, San Giovanni Di Dio Hospital, 88900 Crotone, Italy
| | - Diego Zara
- Department of Medical Oncology, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy
- Department of Medicine (DAME), University of Udine, 33100 Udine, Italy
| | - Brigida Stanzione
- Department of Medical Oncology, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy
| | - Monica Schiappacassi
- Molecular Oncology Unit, (OMMPPT) Department of Translational Research, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy
| | - Alessandro Del Conte
- Department of Medical Oncology, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy
| | - Michele Spina
- Department of Medical Oncology, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy
| | - Alessandra Bearz
- Department of Medical Oncology, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy
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11
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Wang W, He Y, Yang F, Chen K. Current and emerging applications of liquid biopsy in pan-cancer. Transl Oncol 2023; 34:101720. [PMID: 37315508 DOI: 10.1016/j.tranon.2023.101720] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 05/22/2023] [Accepted: 06/08/2023] [Indexed: 06/16/2023] Open
Abstract
Cancer morbidity and mortality are growing rapidly worldwide and it is urgent to develop a convenient and effective method that can identify cancer patients at an early stage and predict treatment outcomes. As a minimally invasive and reproducible tool, liquid biopsy (LB) offers the opportunity to detect, analyze and monitor cancer in any body fluids including blood, complementing the limitations of tissue biopsy. In liquid biopsy, circulating tumor cells (CTCs) and circulating tumor DNA (ctDNA) are the two most common biomarkers, displaying great potential in the clinical application of pan-cancer. In this review, we expound the samples, targets, and newest techniques in liquid biopsy and summarize current clinical applications in several specific cancers. Besides, we put forward a bright prospect for further exploring the emerging application of liquid biopsy in the field of pan-cancer precision medicine.
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Affiliation(s)
- Wenxiang Wang
- Department of Thoracic Surgery, Peking University People's Hospital, 11 Xizhimen South Street, Beijing 100044, China; Peking University People's Hospital Thoracic Oncology Institute, Beijing 100044, China
| | - Yue He
- Department of Thoracic Surgery, Peking University People's Hospital, 11 Xizhimen South Street, Beijing 100044, China; Peking University People's Hospital Thoracic Oncology Institute, Beijing 100044, China
| | - Fan Yang
- Department of Thoracic Surgery, Peking University People's Hospital, 11 Xizhimen South Street, Beijing 100044, China; Peking University People's Hospital Thoracic Oncology Institute, Beijing 100044, China
| | - Kezhong Chen
- Department of Thoracic Surgery, Peking University People's Hospital, 11 Xizhimen South Street, Beijing 100044, China; Peking University People's Hospital Thoracic Oncology Institute, Beijing 100044, China.
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12
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Xin L, Yue Y, Zihan R, Youbin C, Tianyu L, Rui W. Clinical application of liquid biopsy based on circulating tumor DNA in non-small cell lung cancer. Front Physiol 2023; 14:1200124. [PMID: 37351260 PMCID: PMC10282751 DOI: 10.3389/fphys.2023.1200124] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 05/30/2023] [Indexed: 06/24/2023] Open
Abstract
Lung cancer is a widely occurring and deadly malignancy, with high prevalence rates in China and across the globe. Specifically, non-small cell lung cancer (NSCLC) represents about 85% of all lung cancer cases. The 5-year disease-free survival rate after surgery for stage IB-IIIB NSCLC patients (disease-free survival, DFS) has notably declined from 73% to 13%. Early detection of abnormal cancer molecules and subsequent personalized treatment plans are the most effective ways to address this problem. Liquid biopsy, surprisingly, enables safe, accurate, non-invasive, and dynamic tracking of disease progression. Among the various modalities, circulating tumor DNA (ctDNA) is the most commonly used liquid biopsy modality. ctDNA serves as a credible "liquid biopsy" diagnostic tool that, to a certain extent, overcomes tumor heterogeneity and harbors genetic mutations in malignancies, thereby providing early information on tumor genetic alterations. Despite considerable academic interest in the clinical significance of ctDNA, consensus on its utility remains lacking. In this review, we assess the role of ctDNA testing in the diagnosis and management of NSCLC as a reference for clinical intervention in this disease. Lastly, we examine future directions to optimize ctDNA for personalized therapy.
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Affiliation(s)
| | | | | | | | - Lu Tianyu
- *Correspondence: Wang Rui, ; Lu Tianyu,
| | - Wang Rui
- *Correspondence: Wang Rui, ; Lu Tianyu,
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13
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Vandekerckhove O, Cuppens K, Pat K, Du Pont B, Froyen G, Maes B. Liquid Biopsy in Early-Stage Lung Cancer: Current and Future Clinical Applications. Cancers (Basel) 2023; 15:2702. [PMID: 37345038 PMCID: PMC10216452 DOI: 10.3390/cancers15102702] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 05/04/2023] [Accepted: 05/08/2023] [Indexed: 06/23/2023] Open
Abstract
Lung cancer remains the leading cause of cancer death worldwide, with the majority of cases diagnosed in an advanced stage. Early-stage disease non-small cell lung cancer (NSCLC) has a better outcome, nevertheless the 5-year survival rates drop from 60% for stage IIA to 36% for stage IIIA disease. Early detection and optimized perioperative systemic treatment are frontrunner strategies to reduce this burden. The rapid advancements in molecular diagnostics as well as the growing availability of targeted therapies call for the most efficient detection of actionable biomarkers. Liquid biopsies have already proven their added value in the management of advanced NSCLC but can also optimize patient care in early-stage NSCLC. In addition to having known diagnostic benefits of speed, accessibility, and enhanced biomarker detection compared to tissue biopsy, liquid biopsy could be implemented for screening, diagnostic, and prognostic purposes. Furthermore, liquid biopsy can optimize therapeutic management by overcoming the issue of tumor heterogeneity, monitoring tumor burden, and detecting minimal residual disease (MRD), i.e., the presence of tumor-specific ctDNA, post-operatively. The latter is strongly prognostic and is likely to become a guidance in the postsurgical management. In this review, we present the current evidence on the clinical utility of liquid biopsy in early-stage lung cancer, discuss a selection of key trials, and suggest future applications.
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Affiliation(s)
| | - Kristof Cuppens
- Department Pulmonology and Thoracic Oncology, Jessa Hospital, 3500 Hasselt, Belgium
- Department Thoracic Oncology, The Netherlands Cancer Institute, Amsterdam and Leiden University Medical Center, 2333 Leiden, The Netherlands
- Faculty of Medicine and Life Sciences—LCRC, Hasselt University, 3590 Diepenbeek, Belgium
| | - Karin Pat
- Department Pulmonology and Thoracic Oncology, Jessa Hospital, 3500 Hasselt, Belgium
| | - Bert Du Pont
- Department Thoracic and Vascular Surgery, Jessa Hospital, 3500 Hasselt, Belgium
| | - Guy Froyen
- Laboratory for Molecular Diagnostics, Department Laboratory Medicine, Jessa Hospital, 3500 Hasselt, Belgium
| | - Brigitte Maes
- Faculty of Medicine and Life Sciences—LCRC, Hasselt University, 3590 Diepenbeek, Belgium
- Laboratory for Molecular Diagnostics, Department Laboratory Medicine, Jessa Hospital, 3500 Hasselt, Belgium
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14
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Brockley LJ, Souza VGP, Forder A, Pewarchuk ME, Erkan M, Telkar N, Benard K, Trejo J, Stewart MD, Stewart GL, Reis PP, Lam WL, Martinez VD. Sequence-Based Platforms for Discovering Biomarkers in Liquid Biopsy of Non-Small-Cell Lung Cancer. Cancers (Basel) 2023; 15:cancers15082275. [PMID: 37190212 DOI: 10.3390/cancers15082275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 04/07/2023] [Accepted: 04/11/2023] [Indexed: 05/17/2023] Open
Abstract
Lung cancer detection and monitoring are hampered by a lack of sensitive biomarkers, which results in diagnosis at late stages and difficulty in tracking response to treatment. Recent developments have established liquid biopsies as promising non-invasive methods for detecting biomarkers in lung cancer patients. With concurrent advances in high-throughput sequencing technologies and bioinformatics tools, new approaches for biomarker discovery have emerged. In this article, we survey established and emerging biomarker discovery methods using nucleic acid materials derived from bodily fluids in the context of lung cancer. We introduce nucleic acid biomarkers extracted from liquid biopsies and outline biological sources and methods of isolation. We discuss next-generation sequencing (NGS) platforms commonly used to identify novel biomarkers and describe how these have been applied to liquid biopsy. We highlight emerging biomarker discovery methods, including applications of long-read sequencing, fragmentomics, whole-genome amplification methods for single-cell analysis, and whole-genome methylation assays. Finally, we discuss advanced bioinformatics tools, describing methods for processing NGS data, as well as recently developed software tailored for liquid biopsy biomarker detection, which holds promise for early diagnosis of lung cancer.
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Affiliation(s)
- Liam J Brockley
- British Columbia Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada
| | - Vanessa G P Souza
- British Columbia Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada
- Molecular Oncology Laboratory, Experimental Research Unit, School of Medicine, São Paulo State University (UNESP), Botucatu 18618-687, SP, Brazil
| | - Aisling Forder
- British Columbia Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada
| | | | - Melis Erkan
- Department of Pathology and Laboratory Medicine, IWK Health Centre, Halifax, NS B3K 6R8, Canada
- Department of Pathology, Faculty of Medicine, Dalhousie University, Halifax, NS B3K 6R8, Canada
- Beatrice Hunter Cancer Research Institute, Halifax, NS B3H 4R2, Canada
| | - Nikita Telkar
- British Columbia Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada
- British Columbia Children's Hospital Research Institute, Vancouver, BC V5Z 4H4, Canada
| | - Katya Benard
- British Columbia Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada
| | - Jessica Trejo
- British Columbia Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada
| | - Matt D Stewart
- British Columbia Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada
| | - Greg L Stewart
- British Columbia Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada
| | - Patricia P Reis
- Molecular Oncology Laboratory, Experimental Research Unit, School of Medicine, São Paulo State University (UNESP), Botucatu 18618-687, SP, Brazil
- Department of Surgery and Orthopedics, Faculty of Medicine, São Paulo State University (UNESP), Botucatu 18618-687, SP, Brazil
| | - Wan L Lam
- British Columbia Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada
| | - Victor D Martinez
- Department of Pathology and Laboratory Medicine, IWK Health Centre, Halifax, NS B3K 6R8, Canada
- Department of Pathology, Faculty of Medicine, Dalhousie University, Halifax, NS B3K 6R8, Canada
- Beatrice Hunter Cancer Research Institute, Halifax, NS B3H 4R2, Canada
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15
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Wang Z, Yuan X, Jiang G, Li Y, Yang F, Wang J, Chen K. Towards the molecular era of discriminating multiple lung cancers. EBioMedicine 2023; 90:104508. [PMID: 36958271 PMCID: PMC10040518 DOI: 10.1016/j.ebiom.2023.104508] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Revised: 02/14/2023] [Accepted: 02/14/2023] [Indexed: 03/25/2023] Open
Abstract
In the era of histopathology-based diagnosis, the discrimination between multiple lung cancers (MLCs) poses significant uncertainties and has thus become a clinical dilemma. However, recent significant advances and increased application of molecular technologies in clonal relatedness assessment have led to more precision in distinguishing between multiple primary lung cancers (MPLCs) and intrapulmonary metastasis (IPMs). This review summarizes recent advances in the molecular identification of MLCs and compares various methods based on somatic mutations, chromosome alterations, microRNAs, and tumor microenvironment markers. The paper also discusses current challenges at the forefront of genomics-based discrimination, including the selection of detection technology, application of next-generation sequencing, and intratumoral heterogeneity (ITH). In summary, this paper highlights an entrance into the primary stage of molecule-based diagnostics.
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Affiliation(s)
- Ziyang Wang
- Thoracic Oncology Institute and Thoracic Surgery, Peking University People's Hospital, Beijing, 100044, China
| | - Xiaoqiu Yuan
- Peking University Health Science Center, Beijing, 100191, China
| | - Guanchao Jiang
- Thoracic Oncology Institute and Thoracic Surgery, Peking University People's Hospital, Beijing, 100044, China
| | - Yun Li
- Thoracic Oncology Institute and Thoracic Surgery, Peking University People's Hospital, Beijing, 100044, China
| | - Fan Yang
- Thoracic Oncology Institute and Thoracic Surgery, Peking University People's Hospital, Beijing, 100044, China
| | - Jun Wang
- Thoracic Oncology Institute and Thoracic Surgery, Peking University People's Hospital, Beijing, 100044, China
| | - Kezhong Chen
- Thoracic Oncology Institute and Thoracic Surgery, Peking University People's Hospital, Beijing, 100044, China.
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