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Mondal D, Shinde S, Sinha V, Dixit V, Paul S, Gupta RK, Thakur S, Vishvakarma NK, Shukla D. Prospects of liquid biopsy in the prognosis and clinical management of gastrointestinal cancers. Front Mol Biosci 2024; 11:1385238. [PMID: 38770216 PMCID: PMC11103528 DOI: 10.3389/fmolb.2024.1385238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Accepted: 04/08/2024] [Indexed: 05/22/2024] Open
Abstract
Gastrointestinal (GI) cancers account for one-fourth of the global cancer incidence and are incriminated to cause one-third of cancer-related deaths. GI cancer includes esophageal, gastric, liver, pancreatic, and colorectal cancers, mostly diagnosed at advanced stages due to a lack of accurate markers for early stages. The invasiveness of diagnostic methods like colonoscopy for solid biopsy reduces patient compliance as it cannot be frequently used to screen patients. Therefore, minimally invasive approaches like liquid biopsy may be explored for screening and early identification of gastrointestinal cancers. Liquid biopsy involves the qualitative and quantitative determination of certain cancer-specific biomarkers in body fluids such as blood, serum, saliva, and urine to predict disease progression, therapeutic tolerance, toxicities, and recurrence by evaluating minimal residual disease and its correlation with other clinical features. In this review, we deliberate upon various tumor-specific cellular and molecular entities such as circulating tumor cells (CTCs), tumor-educated platelets (TEPs), circulating tumor DNA (ctDNA), cell-free DNA (cfDNA), exosomes, and exosome-derived biomolecules and cite recent advances pertaining to their use in predicting disease progression, therapy response, or risk of relapse. We also discuss the technical challenges associated with translating liquid biopsy into clinical settings for various clinical applications in gastrointestinal cancers.
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Affiliation(s)
- Deepankar Mondal
- Department of Biotechnology, Guru Ghasidas Vishwavidyalaya, Bilaspur, Chhattisgarh, India
| | - Sapnita Shinde
- Department of Biotechnology, Guru Ghasidas Vishwavidyalaya, Bilaspur, Chhattisgarh, India
| | - Vibha Sinha
- Department of Biotechnology, Guru Ghasidas Vishwavidyalaya, Bilaspur, Chhattisgarh, India
| | - Vineeta Dixit
- Department of Botany, Sri Sadguru Jagjit Singh Namdhari College, Garhwa, Jharkhand, India
| | - Souvik Paul
- Department of Surgical Gastroenterology, All India Institute of Medical Sciences, Raipur, Chhattisgarh, India
| | - Rakesh Kumar Gupta
- Department of Pathology and Lab Medicine, All India Institute of Medical Sciences, Raipur, Chhattisgarh, India
| | | | | | - Dhananjay Shukla
- Department of Biotechnology, Guru Ghasidas Vishwavidyalaya, Bilaspur, Chhattisgarh, India
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2
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Torresan S, de Scordilli M, Bortolot M, Di Nardo P, Foltran L, Fumagalli A, Guardascione M, Ongaro E, Puglisi F. Liquid biopsy in colorectal cancer: Onward and upward. Crit Rev Oncol Hematol 2024; 194:104242. [PMID: 38128627 DOI: 10.1016/j.critrevonc.2023.104242] [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: 10/05/2023] [Revised: 11/20/2023] [Accepted: 12/15/2023] [Indexed: 12/23/2023] Open
Abstract
Colorectal cancer (CRC) remains a leading cause of cancer-related deaths worldwide. In recent years, liquid biopsy has emerged as one of the most interesting areas of research in oncology, leading to innovative trials and practical changes in all aspects of CRC management. RNAs and cell free DNA (cfDNA) methylation are emerging as promising biomarkers for early diagnosis. Post-surgical circulating tumour DNA (ctDNA) can aid in evaluating minimal residual disease and personalising adjuvant treatment. In rectal cancer, ctDNA could improve response assessment to neoadjuvant therapy and risk stratification, especially in the era of organ-preservation trials. In the advanced setting, ctDNA analysis offers the opportunity to monitor treatment response and identify driver and resistance mutations more comprehensively than traditional tissue analysis, providing prognostic and predictive information. The aim of this review is to provide a detailed overview of the clinical applications and future perspectives of liquid biopsy in CRC.
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Affiliation(s)
- Sara Torresan
- Department of Medical Oncology, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy; Department of Medicine, University of Udine, 33100 Udine, Italy
| | - Marco de Scordilli
- Department of Medical Oncology, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy; Department of Medicine, University of Udine, 33100 Udine, Italy.
| | - Martina Bortolot
- Department of Medical Oncology, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy; Department of Medicine, University of Udine, 33100 Udine, Italy
| | - Paola Di Nardo
- Department of Medical Oncology, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy
| | - Luisa Foltran
- Department of Medical Oncology, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy
| | - Arianna Fumagalli
- Department of Medical Oncology, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy
| | - Michela Guardascione
- Department of Medical Oncology, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy
| | - Elena Ongaro
- Department of Medical Oncology, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy
| | - Fabio Puglisi
- Department of Medical Oncology, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy; Department of Medicine, University of Udine, 33100 Udine, Italy
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Jamshidi A, Liu MC, Klein EA, Venn O, Hubbell E, Beausang JF, Gross S, Melton C, Fields AP, Liu Q, Zhang N, Fung ET, Kurtzman KN, Amini H, Betts C, Civello D, Freese P, Calef R, Davydov K, Fayzullina S, Hou C, Jiang R, Jung B, Tang S, Demas V, Newman J, Sakarya O, Scott E, Shenoy A, Shojaee S, Steffen KK, Nicula V, Chien TC, Bagaria S, Hunkapiller N, Desai M, Dong Z, Richards DA, Yeatman TJ, Cohn AL, Thiel DD, Berry DA, Tummala MK, McIntyre K, Sekeres MA, Bryce A, Aravanis AM, Seiden MV, Swanton C. Evaluation of cell-free DNA approaches for multi-cancer early detection. Cancer Cell 2022; 40:1537-1549.e12. [PMID: 36400018 DOI: 10.1016/j.ccell.2022.10.022] [Citation(s) in RCA: 77] [Impact Index Per Article: 38.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Revised: 08/03/2022] [Accepted: 10/26/2022] [Indexed: 11/19/2022]
Abstract
In the Circulating Cell-free Genome Atlas (NCT02889978) substudy 1, we evaluate several approaches for a circulating cell-free DNA (cfDNA)-based multi-cancer early detection (MCED) test by defining clinical limit of detection (LOD) based on circulating tumor allele fraction (cTAF), enabling performance comparisons. Among 10 machine-learning classifiers trained on the same samples and independently validated, when evaluated at 98% specificity, those using whole-genome (WG) methylation, single nucleotide variants with paired white blood cell background removal, and combined scores from classifiers evaluated in this study show the highest cancer signal detection sensitivities. Compared with clinical stage and tumor type, cTAF is a more significant predictor of classifier performance and may more closely reflect tumor biology. Clinical LODs mirror relative sensitivities for all approaches. The WG methylation feature best predicts cancer signal origin. WG methylation is the most promising technology for MCED and informs development of a targeted methylation MCED test.
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Affiliation(s)
| | - Minetta C Liu
- Department of Oncology, Mayo Clinic, Rochester, MN 55905, USA
| | | | | | | | | | | | | | | | | | - Nan Zhang
- GRAIL, LLC, Menlo Park, CA 94025, USA
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Zhao Dong
- GRAIL, LLC, Menlo Park, CA 94025, USA
| | | | - Timothy J Yeatman
- Gibbs Cancer Center and Research Institute, Spartanburg, SC 29303, USA; Department of Surgery, University of Utah, Salt Lake City, UT 84112, USA
| | - Allen L Cohn
- Rocky Mountain Cancer Center, Denver, CO 80218, USA
| | - David D Thiel
- Department of Urology, Mayo Clinic Florida, Jacksonville, FL 32224, USA
| | - Donald A Berry
- Department of Biostatistics, MD Anderson Cancer Center, Houston, TX 77030, USA
| | | | | | | | | | | | | | - Charles Swanton
- Francis Crick Institute, London, NW1 1AT, UK; UCL Cancer Institute, CRUK Lung Cancer Centre of Excellence, London, WC1E 6DD, UK
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Callesen LB, Hamfjord J, Boysen AK, Pallisgaard N, Guren TK, Kure EH, Spindler KLG. Circulating tumour DNA and its clinical utility in predicting treatment response or survival in patients with metastatic colorectal cancer: a systematic review and meta-analysis. Br J Cancer 2022; 127:500-513. [PMID: 35440666 PMCID: PMC9345951 DOI: 10.1038/s41416-022-01816-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Revised: 03/29/2022] [Accepted: 03/31/2022] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND We investigate the current knowledge on circulating tumour DNA (ctDNA) and its clinical utility in predicting outcomes in patients with metastatic colorectal cancer (mCRC). METHODS PubMed, Embase, Cochrane Database of Systematic Reviews and Cochrane Central Register of Controlled Trials were searched. Last search 16/12/2020. We included studies on patients with mCRC reporting the predictive or prognostic value of ctDNA. We performed separate random-effects meta-analyses to investigate if baseline ctDNA and early changes in ctDNA levels during treatment were associated with survival. The risk of bias was assessed according to the Quality in Prognosis Studies tool. RESULTS Seventy-one studies were included with 6930 patients. Twenty-four studies were included in meta-analyses. High baseline ctDNA level was associated with short progression-free survival (PFS) (HR = 2.2; 95% CI 1.8-2.8; n = 509) and overall survival (OS) (HR = 2.4; 95% CI 1.9-3.1; n = 1336). A small or no early decrease in ctDNA levels during treatment was associated with short PFS (HR = 3.0; 95% CI 2.2-4.2; n = 479) and OS (HR = 2.8; 95% CI 2.1-3.9; n = 583). Results on clonal evolution and lead-time were inconsistent. A majority of included studies (n = 50/71) had high risk of bias in at least one domain. CONCLUSIONS Plasma ctDNA is a strong prognostic biomarker in mCRC. However, true clinical utility is lacking.
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Affiliation(s)
- Louise B Callesen
- Department of Experimental Clinical Oncology, Aarhus University Hospital, Aarhus, Denmark.
- Institute of Clinical Medicine, Aarhus University, Aarhus, Denmark.
| | - Julian Hamfjord
- Department of Oncology, Oslo University Hospital, Oslo, Norway
- Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Anders K Boysen
- Department of Experimental Clinical Oncology, Aarhus University Hospital, Aarhus, Denmark
| | - Niels Pallisgaard
- Department of Pathology, Zealand University Hospital, Roskilde, Denmark
| | - Tormod K Guren
- Department of Oncology, Oslo University Hospital, Oslo, Norway
| | - Elin H Kure
- Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway
- Department of Natural Sciences and Environmental Health, Faculty of Technology, Natural Sciences and Maritime Sciences, University of South-Eastern Norway, Campus Bø, Bø, Norway
| | - Karen-Lise G Spindler
- Department of Experimental Clinical Oncology, Aarhus University Hospital, Aarhus, Denmark
- Institute of Clinical Medicine, Aarhus University, Aarhus, Denmark
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5
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Huang M, Lin Y, Wang C, Deng L, Chen M, Assaraf YG, Chen ZS, Ye W, Zhang D. New insights into antiangiogenic therapy resistance in cancer: Mechanisms and therapeutic aspects. Drug Resist Updat 2022; 64:100849. [PMID: 35842983 DOI: 10.1016/j.drup.2022.100849] [Citation(s) in RCA: 51] [Impact Index Per Article: 25.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Angiogenesis is a hallmark of cancer and is required for tumor growth and progression. Antiangiogenic therapy has been revolutionarily developing and was approved for the treatment of various types of cancer for nearly two decades, among which bevacizumab and sorafenib continue to be the two most frequently used antiangiogenic drugs. Although antiangiogenic therapy has brought substantial survival benefits to many cancer patients, resistance to antiangiogenic drugs frequently occurs during clinical treatment, leading to poor outcomes and treatment failure. Cumulative evidence has demonstrated that the intricate interplay among tumor cells, bone marrow-derived cells, and local stromal cells critically allows for tumor escape from antiangiogenic therapy. Currently, drug resistance has become the main challenge that hinders the therapeutic efficacies of antiangiogenic therapy. In this review, we describe and summarize the cellular and molecular mechanisms conferring tumor drug resistance to antiangiogenic therapy, which was predominantly associated with redundancy in angiogenic signaling molecules (e.g., VEGFs, GM-CSF, G-CSF, and IL17), alterations in biological processes of tumor cells (e.g., tumor invasiveness and metastasis, stemness, autophagy, metabolic reprogramming, vessel co-option, and vasculogenic mimicry), increased recruitment of bone marrow-derived cells (e.g., myeloid-derived suppressive cells, tumor-associated macrophages, and tumor-associated neutrophils), and changes in the biological functions and features of local stromal cells (e.g., pericytes, cancer-associated fibroblasts, and endothelial cells). We also review potential biomarkers to predict the response to antiangiogenic therapy in cancer patients, which mainly consist of imaging biomarkers, cellular and extracellular proteins, a certain type of bone marrow-derived cells, local stromal cell content (e.g., pericyte coverage) as well as serum or plasma biomarkers (e.g., non-coding RNAs). Finally, we highlight the recent advances in combination strategies with the aim of enhancing the response to antiangiogenic therapy in cancer patients and mouse models. This review introduces a comprehensive understanding of the mechanisms and biomarkers associated with the evasion of antiangiogenic therapy in cancer, providing an outlook for developing more effective approaches to promote the therapeutic efficacy of antiangiogenic therapy.
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Affiliation(s)
- Maohua Huang
- Guangdong Province Key Laboratory of Pharmacodynamic Constituents of Traditional Chinese Medicine and New Drugs Research, College of Pharmacy, Jinan University, Guangzhou, 510632, China; Integrated Chinese and Western Medicine Postdoctoral Research Station, Jinan University, Guangzhou, 510632, China
| | - Yuning Lin
- Guangdong Province Key Laboratory of Pharmacodynamic Constituents of Traditional Chinese Medicine and New Drugs Research, College of Pharmacy, Jinan University, Guangzhou, 510632, China
| | - Chenran Wang
- Guangdong Province Key Laboratory of Pharmacodynamic Constituents of Traditional Chinese Medicine and New Drugs Research, College of Pharmacy, Jinan University, Guangzhou, 510632, China
| | - Lijuan Deng
- Formula-Pattern Research Center, School of Traditional Chinese Medicine, Jinan University, Guangzhou, 510632, China
| | - Minfeng Chen
- Guangdong Province Key Laboratory of Pharmacodynamic Constituents of Traditional Chinese Medicine and New Drugs Research, College of Pharmacy, Jinan University, Guangzhou, 510632, China
| | - Yehuda G Assaraf
- The Fred Wyszkowski Cancer Research Laboratory, Department of Biology, Technion-Israel Institute of Technology, Haifa, 3200003, Israel
| | - Zhe-Sheng Chen
- Department of Pharmaceutical Sciences, College of Pharmacy and Health Sciences, Institute for Biotechnology, St. John's University, NY 11439, USA.
| | - Wencai Ye
- Guangdong Province Key Laboratory of Pharmacodynamic Constituents of Traditional Chinese Medicine and New Drugs Research, College of Pharmacy, Jinan University, Guangzhou, 510632, China.
| | - Dongmei Zhang
- Guangdong Province Key Laboratory of Pharmacodynamic Constituents of Traditional Chinese Medicine and New Drugs Research, College of Pharmacy, Jinan University, Guangzhou, 510632, China.
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Yang W, Zou J, Li Y, Liu R, Yan Z, Chen S, Zhao X, Guo W, Huang M, Li W, Zhu X, Chen Z. Longitudinal Circulating Tumor DNA Profiling in Metastatic Colorectal Cancer During Anti-EGFR Therapy. Front Oncol 2022; 12:830816. [PMID: 35280779 PMCID: PMC8908369 DOI: 10.3389/fonc.2022.830816] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 01/31/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundMetastatic colorectal cancer (mCRC) is a heterogenous disease with limited precision medicine and targeted therapy options. Monoclonal antibodies against epidermal growth factor receptor (EGFR) have been a crucial treatment option for mCRC. However, proper biomarkers for predicting therapeutic response remain unknown. As a non-invasive test, circulating tumor DNA (ctDNA) is appropriately positioned to reveal tumor heterogeneity and evolution, as it can be used in real-time genomic profiling. To evaluate the significance of ctDNA in monitoring the dynamic therapeutic response and prognosis of mCRC, we detected the baseline and dynamic changes of ctDNA in mCRC patients receiving anti-EGFR therapies.MethodsA single-center study was conducted retrospectively. Plasma samples from mCRC patients who received anti-EGFR therapies were collected at baseline and continuous treatment points. The ctDNA was extracted and sequenced with a target panel of tumor-related genes via next-generation sequencing (NGS). Clinical information was also collected and analyzed.ResultsWe conducted dynamic sampling of 22 mCRC patients, analyzed 130 plasma samples, obtained a baseline genomic mutation profile of the patients. In total, 54 variations were detected in 22 plasma samples, with a positive rate of 77.3% (17/22). TP53 was the most mutated gene (59.1%, 13/22), followed by APC (18.2%, 4/22). There was a high concordance rate of genomic characteristics between the tumor tissue test by polymerase chain reaction and ctDNA test by NGS. The mutation discrepancy increased with an extended course of treatment. During remission TP53 and APC were the most frequently decreased clonal mutations and KRAS, NRAS, ERBB2 and PIK3CA were the most decreased subclonal mutations. Both mutation types were increased during progression. The ctDNA decreased earlier than did the responses of computed tomography and traditional tumor markers (carbohydrate antigen 19-9 and carcinoembryonic antigen [CEA]). Lactate dehydrogenase level (P = 0.041), CEA level (P = 0.038), and primary lesion site (P = 0.038) were independent risk factors that influenced overall survival. Moreover, patients with RAS mutations tended to have a worse prognosis (P = 0.072).ConclusionsThis study demonstrates that ctDNA is a promising biomarker for monitoring the dynamic response to treatment and determining the prognosis of mCRC.
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Affiliation(s)
- Wentao Yang
- Department of Gastrointestinal Medical Oncology Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jianling Zou
- Department of Gastrointestinal Medical Oncology Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Ye Li
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Department of Integrative Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Rujiao Liu
- Department of Gastrointestinal Medical Oncology Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Zhengqing Yan
- The Medical Department, 3D Medicines Inc., Shanghai, China
| | - Shiqing Chen
- The Medical Department, 3D Medicines Inc., Shanghai, China
| | - Xiaoying Zhao
- Department of Gastrointestinal Medical Oncology Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Weijian Guo
- Department of Gastrointestinal Medical Oncology Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Mingzhu Huang
- Department of Gastrointestinal Medical Oncology Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Wenhua Li
- Department of Gastrointestinal Medical Oncology Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xiaodong Zhu
- Department of Gastrointestinal Medical Oncology Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Zhiyu Chen
- Department of Gastrointestinal Medical Oncology Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- *Correspondence: Zhiyu Chen,
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Zhou Q, Gampenrieder SP, Frantal S, Rinnerthaler G, Singer CF, Egle D, Pfeiler G, Bartsch R, Wette V, Pichler A, Petru E, Dubsky PC, Bago-Horvath Z, Fesl C, Rudas M, Ståhlberg A, Graf R, Weber S, Dandachi N, Filipits M, Gnant M, Balic M, Heitzer E. Persistence of ctDNA in Patients with Breast Cancer During Neoadjuvant Treatment Is a Significant Predictor of Poor Tumor Response. Clin Cancer Res 2022; 28:697-707. [PMID: 34862246 PMCID: PMC9377752 DOI: 10.1158/1078-0432.ccr-21-3231] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Revised: 10/27/2021] [Accepted: 11/29/2021] [Indexed: 01/07/2023]
Abstract
PURPOSE Accurate response assessment during neoadjuvant systemic treatment (NST) poses a clinical challenge. Therefore, a minimally invasive assessment of tumor response based on cell-free circulating tumor DNA (ctDNA) may be beneficial to guide treatment decisions. EXPERIMENTAL DESIGN We profiled 93 genes in tissue from 193 patients with early breast cancer. Patient-specific assays were designed for 145 patients to track ctDNA during NST in plasma. ctDNA presence and levels were correlated with complete pathological response (pCR) and residual cancer burden (RCB) as well as clinicopathologic characteristics of the tumor to identify potential proxies for ctDNA release. RESULTS At baseline, ctDNA could be detected in 63/145 (43.4%) patients and persisted in 25/63 (39.7%) patients at mid-therapy (MT) and 15/63 (23.8%) patients at the end of treatment. ctDNA detection at MT was significantly associated with higher RCB (OR = 0.062; 95% CI, 0.01-0.48; P = 0.0077). Of 31 patients with detectable ctDNA at MT, 30 patients (96.8%) were nonresponders (RCB II, n = 8; RCB III, n = 22) and only one patient responded to the treatment (RCB I). Considering all 145 patients with baseline (BL) plasma, none of the patients with RCB 0 and only 6.7% of patients with RCB I had ctDNA detectable at MT, whereas 30.6% and 29.6% of patients with RCB II/III, respectively, had a positive ctDNA result. CONCLUSIONS Overall, our results demonstrate that the detection and persistence of ctDNA at MT may have the potential to negatively predict response to neoadjuvant treatment and identify patients who will not achieve pCR or be classified with RCB II/III.
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Affiliation(s)
- Qing Zhou
- Institute of Human Genetics, Diagnostic & Research Center for Molecular BioMedicine, Medical University of Graz, Graz, Austria.,Christian Doppler Laboratory for Liquid Biopsies for Early Detection of Cancer, Medical University of Graz, Graz, Austria
| | - Simon P. Gampenrieder
- IIIrd Medical Department with Hematology and Medical Oncology, Hemostaseology, Rheumatology and Infectious Diseases, Oncologic Center, Paracelsus Medical University Salzburg, Salzburg, Austria.,Salzburg Cancer Research Institute with Laboratory of Immunological and Molecular Cancer Research (LIMCR) and Center for Clinical Cancer and Immunology Trials (CCCIT), Salzburg, Austria.,Cancer Cluster Salzburg, Salzburg, Austria
| | - Sophie Frantal
- Department of Statistics, Austrian Breast and Colorectal Cancer Study Group, Vienna, Austria
| | - Gabriel Rinnerthaler
- IIIrd Medical Department with Hematology and Medical Oncology, Hemostaseology, Rheumatology and Infectious Diseases, Oncologic Center, Paracelsus Medical University Salzburg, Salzburg, Austria.,Salzburg Cancer Research Institute with Laboratory of Immunological and Molecular Cancer Research (LIMCR) and Center for Clinical Cancer and Immunology Trials (CCCIT), Salzburg, Austria.,Cancer Cluster Salzburg, Salzburg, Austria
| | - Christian F. Singer
- Department of Gynecology and Gynecological Oncology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria
| | - Daniel Egle
- Department of Obstetrics and Gynecology, Medical University Innsbruck, Innsbruck, Austria
| | - Georg Pfeiler
- Department of Gynecology and Gynecological Oncology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria
| | - Rupert Bartsch
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria
| | - Viktor Wette
- Breast Center, Brustzentrum Kaernten, St. Veit, Austria
| | - Angelika Pichler
- Department of Hemato-Oncology, LKH Hochsteiermark-Leoben, Leoben, Austria
| | - Edgar Petru
- Department of Gynaecology and Obstetrics, Medical University Graz, Graz, Austria
| | - Peter C. Dubsky
- Department of Surgery and Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.,Breast Center St. Anna, Lucerne, Switzerland
| | - Zsuzsanna Bago-Horvath
- Department of Surgery and Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria
| | - Christian Fesl
- Salzburg Cancer Research Institute with Laboratory of Immunological and Molecular Cancer Research (LIMCR) and Center for Clinical Cancer and Immunology Trials (CCCIT), Salzburg, Austria
| | - Margaretha Rudas
- Department of Pathology, Medical University of Vienna, Vienna, Austria
| | - Anders Ståhlberg
- Department of Laboratory Medicine, Sahlgrenska Center for Cancer Research, Institute of Biomedicine, Sahlgrenska Academy at University of Gothenburg, Gothenberg, Sweden.,Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden.,Region Västra Götaland, Sahlgrenska University Hospital, Department of Clinical Genetics and Genomics, Gothenburg, Sweden
| | - Ricarda Graf
- Institute of Human Genetics, Diagnostic & Research Center for Molecular BioMedicine, Medical University of Graz, Graz, Austria
| | - Sabrina Weber
- Institute of Human Genetics, Diagnostic & Research Center for Molecular BioMedicine, Medical University of Graz, Graz, Austria
| | - Nadia Dandachi
- Division of Oncology, Department of Internal Medicine, Medical University Graz, Graz, Austria
| | - Martin Filipits
- Department of Medicine I, Comprehensive Cancer Center, Institute of Cancer Research, Medical University of Vienna, Vienna, Austria
| | - Michael Gnant
- Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria
| | - Marija Balic
- Division of Oncology, Department of Internal Medicine, Medical University Graz, Graz, Austria.,Corresponding Authors: Ellen Heitzer, D&R Institute of Human Genetics, Medical University of Graz, Neue Stiftingtalstrasse 6, Graz, 8010, Austria. E-mail: ; and Marija Balic, Department of Internal Medicine, Division of Oncology, Medical University Graz, Auenbruggerplatz 15, 8010 Graz, Austria. E-mail:
| | - Ellen Heitzer
- Institute of Human Genetics, Diagnostic & Research Center for Molecular BioMedicine, Medical University of Graz, Graz, Austria.,Christian Doppler Laboratory for Liquid Biopsies for Early Detection of Cancer, Medical University of Graz, Graz, Austria.,Corresponding Authors: Ellen Heitzer, D&R Institute of Human Genetics, Medical University of Graz, Neue Stiftingtalstrasse 6, Graz, 8010, Austria. E-mail: ; and Marija Balic, Department of Internal Medicine, Division of Oncology, Medical University Graz, Auenbruggerplatz 15, 8010 Graz, Austria. E-mail:
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8
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Clinical Applications of Minimal Residual Disease Assessments by Tumor-Informed and Tumor-Uninformed Circulating Tumor DNA in Colorectal Cancer. Cancers (Basel) 2021; 13:cancers13184547. [PMID: 34572774 PMCID: PMC8471730 DOI: 10.3390/cancers13184547] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Revised: 09/08/2021] [Accepted: 09/08/2021] [Indexed: 12/20/2022] Open
Abstract
Simple Summary Circulating tumor DNA, or ctDNA, are fragments of tumor DNA that can be detected in the blood of patients with colorectal cancer. Measuring ctDNA levels in the blood has shown the potential to provide important information that can be helpful in the clinical care of patients with colorectal cancer. For example, in patients with colon cancer that has been removed by surgery, measuring ctDNA in the blood can predict the likelihood of cancer recurrence, while in those with metastatic colorectal cancer, measuring ctDNA can inform the clinician whether chemotherapy is effective at earlier timepoints than currently available tests. In this review, we discuss the results from ongoing studies describing the utility of ctDNA measurements across all stages of colorectal cancer. We also discuss the various clinical scenarios that ctDNA may have the most immediate impact in colorectal cancer management. Abstract Emerging data suggest that circulating tumor DNA (ctDNA) can detect colorectal cancer (CRC)-specific signals across both non-metastatic and metastatic settings. With the development of multiple platforms, including tumor-informed and tumor-agnostic ctDNA assays and demonstration of their provocative analytic performance to detect minimal residual disease, there are now ongoing, phase III randomized clinical trials to evaluate their role in the management paradigm of CRC. In this review, we highlight landmark studies that have formed the basis for ongoing studies on the clinically applicability of plasma ctDNA assays in resected, stage I–III CRC and metastatic CRC. We discuss clinical settings by which ctDNA may have the most immediate impact in routine clinical practice. These include the potential for ctDNA to (1) guide surveillance and intensification or de-intensification strategies of adjuvant therapy in resected, stage I–III CRC, (2) predict treatment response to neoadjuvant therapy in locally advanced rectal cancer inclusive of total neoadjuvant therapy (TNT), and (3) predict response to systemic and surgical therapies in metastatic disease. We end by considering clinical variables that can influence our ability to reliably interpret ctDNA dynamics in the clinic.
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Unseld M, Belic J, Pierer K, Zhou Q, Moser T, Bauer R, Piringer G, Gerger A, Siebenhüner A, Speicher M, Heitzer E, Prager GW. A higher ctDNA fraction decreases survival in regorafenib-treated metastatic colorectal cancer patients. Results from the regorafenib's liquid biopsy translational biomarker phase II pilot study. Int J Cancer 2020; 148:1452-1461. [PMID: 32949150 PMCID: PMC7894541 DOI: 10.1002/ijc.33303] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Revised: 08/24/2020] [Accepted: 08/25/2020] [Indexed: 12/25/2022]
Abstract
The predictive effect of circulating tumor DNA (ctDNA) in colorectal cancer (CRC) treatment is still highly discussed. The primary objective of our study was to investigate a possible prognostic/predictive value of ctDNA under regorafenib treatment. This prospective multicenter translational biomarker phase II pilot study enrolled 30 metastatic CRC patients (67% men, 33% women) treated with regorafenib. ctDNA was assessed in plasma before treatment start and at defined time points during administration. Measurement of tumor fraction as well as mutation and copy number analysis of CRC driver genes were performed by next-generation sequencing approaches. Multivariate analyses for survival and treatment efficacy were adjusted to age, gender and Eastern Cooperative Oncology Group. Disease control rate was 30%. Median tumor fraction at baseline was 18.5% (0-49.9). Mutations in CRC driver genes or genes involved in angiogenesis were identified in 25 patients (83.3%). KRAS mutations were detected in 13 of 14 KRAS-positive tumors; in three patients without KRAS mutation in the respective tumors, acquired mutations as a consequence of prior anti-EGFR treatment were detected. In a subset of patients, novel occurring mutations or focal amplifications were detected. A tumor fraction of 5% and higher at baseline was significantly associated with a decreased OS (P = .022; hazard ratio 3.110 (95% confidence interval: 1.2-8.2). ctDNA is detectable in a high proportion of mCRC patients. Higher ctDNA levels are associated with survival among regorafenib treatment. Moreover, our data highlight the benefit of a combined evaluation of mutations and somatic copy number alterations in advanced cancer patients.
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Affiliation(s)
- Matthias Unseld
- Department of Medicine I, Division of Palliative Medicine, Medical University of Vienna, Vienna, Austria
| | - Jelena Belic
- Institute of Human Genetics, Diagnostic and Research Center for Molecular BioMedicine, Medical University of Graz, Graz, Austria
| | - Kerstin Pierer
- Institute of Human Genetics, Diagnostic and Research Center for Molecular BioMedicine, Medical University of Graz, Graz, Austria.,Christian Doppler Laboratory for Liquid Biopsies for Early Detection of Cancer, Graz, Austria
| | - Qing Zhou
- Institute of Human Genetics, Diagnostic and Research Center for Molecular BioMedicine, Medical University of Graz, Graz, Austria
| | - Tina Moser
- Institute of Human Genetics, Diagnostic and Research Center for Molecular BioMedicine, Medical University of Graz, Graz, Austria
| | - Raimund Bauer
- Center for Pathobiochemistry and Genetics, Institute of Medical Chemistry, Medical University of Vienna, Vienna, Austria
| | | | - Armin Gerger
- Department of Internal Medicine, Division of Oncology, Medical University of Graz, Austria
| | | | - Michael Speicher
- Institute of Human Genetics, Diagnostic and Research Center for Molecular BioMedicine, Medical University of Graz, Graz, Austria
| | - Ellen Heitzer
- Institute of Human Genetics, Diagnostic and Research Center for Molecular BioMedicine, Medical University of Graz, Graz, Austria.,Christian Doppler Laboratory for Liquid Biopsies for Early Detection of Cancer, Graz, Austria
| | - Gerald W Prager
- Department of Medicine I, Division of Oncology, Medical University of Vienna, Vienna, Austria
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